Search is not available for this dataset
repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
|---|---|---|---|
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/numerictypes.py | import numpy as np
reveal_type(np.issctype(np.generic)) # E: bool
reveal_type(np.issctype("foo")) # E: bool
reveal_type(np.obj2sctype("S8")) # E: Union[numpy.generic, None]
reveal_type(np.obj2sctype("S8", default=None)) # E: Union[numpy.generic, None]
reveal_type(
np.obj2sctype("foo", default=int) # E: Union... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/constants.py | import numpy as np
reveal_type(np.Inf) # E: float
reveal_type(np.Infinity) # E: float
reveal_type(np.NAN) # E: float
reveal_type(np.NINF) # E: float
reveal_type(np.NZERO) # E: float
reveal_type(np.NaN) # E: float
reveal_type(np.PINF) # E: float
reveal_type(np.PZERO) # E: float
reveal_type(np.e) # E: float
rev... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/scalars.py | import numpy as np
x = np.complex64(3 + 2j)
reveal_type(x.real) # E: numpy.float32
reveal_type(x.imag) # E: numpy.float32
reveal_type(x.real.real) # E: numpy.float32
reveal_type(x.real.imag) # E: numpy.float32
reveal_type(x.itemsize) # E: int
reveal_type(x.shape) # E: tuple[builtins.int]
reveal_type(x.strides... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/warnings_and_errors.py | from typing import Type
import numpy as np
reveal_type(np.ModuleDeprecationWarning()) # E: numpy.ModuleDeprecationWarning
reveal_type(np.VisibleDeprecationWarning()) # E: numpy.VisibleDeprecationWarning
reveal_type(np.ComplexWarning()) # E: numpy.ComplexWarning
reveal_type(np.RankWarning()) # E: numpy.RankWarning... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/fromnumeric.py | """Tests for :mod:`numpy.core.fromnumeric`."""
import numpy as np
A = np.array(True, ndmin=2, dtype=bool)
B = np.array(1.0, ndmin=2, dtype=np.float32)
A.setflags(write=False)
B.setflags(write=False)
a = np.bool_(True)
b = np.float32(1.0)
c = 1.0
reveal_type(np.take(a, 0)) # E: numpy.bool_
reveal_type(np.take(b, 0)... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/ndarray_shape_manipulation.py | import numpy as np
nd = np.array([[1, 2], [3, 4]])
# reshape
reveal_type(nd.reshape()) # E: numpy.ndarray
reveal_type(nd.reshape(4)) # E: numpy.ndarray
reveal_type(nd.reshape(2, 2)) # E: numpy.ndarray
reveal_type(nd.reshape((2, 2))) # E: numpy.ndarray
reveal_type(nd.reshape((2, 2), order="C")) # E: numpy.ndarra... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/reveal/ndarray_conversion.py | import numpy as np
nd = np.array([[1, 2], [3, 4]])
# item
reveal_type(nd.item()) # E: Any
reveal_type(nd.item(1)) # E: Any
reveal_type(nd.item(0, 1)) # E: Any
reveal_type(nd.item((0, 1))) # E: Any
# tolist
reveal_type(nd.tolist()) # E: builtins.list[Any]
# itemset does not return a value
# tostring is pretty s... | 0 |
public_repos/numpy-stubs | public_repos/numpy-stubs/scripts/find_ufuncs.py | import numpy as np
def main():
ufuncs = []
for obj_name in np.__dir__():
obj = getattr(np, obj_name)
if isinstance(obj, np.ufunc):
ufuncs.append(obj)
ufunc_stubs = []
for ufunc in set(ufuncs):
ufunc_stubs.append(f"{ufunc.__name__}: ufunc")
ufunc_stubs.sort()
... | 0 |
public_repos | public_repos/Lightning-multinode-templates/README.md | # Lightning-multinode-templates
Multinode templates for Pytorch Lightning
| 0 |
public_repos | public_repos/Lightning-multinode-templates/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/fabric/fabric_ddp.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
def main():
L.seed_everything(42)
fabric = L.Fabric(strategy="ddp")
fabric.launch()
# Data
with fabric.rank_zero_fir... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/fabric/fabric_deepspeed.py | #! pip install deepspeed
import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
def main():
L.seed_everything(42)
fabric = L.Fabric(strategy="deepspeed")
fabric.launch()
# Da... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/fabric/fabric_default.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
def main():
L.seed_everything(42)
fabric = L.Fabric()
fabric.launch()
# Data
with fabric.rank_zero_first(local=True)... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/fabric/fabric_fsdp.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
from lightning.fabric.strategies.fsdp import FSDPStrategy
def main():
L.seed_everything(42)
fabric = L.Fabric(strategy=FSDPStrate... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/pytorch_lightning/ptl_ddp.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
class LanguageDataModule(L.LightningDataModule):
def __init__(self, batch_size):
super().__init__()
self.batch_size = ... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/pytorch_lightning/ptl_deepspeed.py | #! pip install deepspeed
import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
class LanguageDataModule(L.LightningDataModule):
def __init__(self, batch_size):
super().__init__()
... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/pytorch_lightning/ptl_fsdp.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
class LanguageDataModule(L.LightningDataModule):
def __init__(self, batch_size):
super().__init__()
self.batch_size = ... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/pytorch_lightning/ptl_default.py | import lightning as L
import torch
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from torch.utils.data import DataLoader, random_split
class LanguageDataModule(L.LightningDataModule):
def __init__(self, batch_size):
super().__init__()
self.batch_size = ... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/tests/requirements.txt | lightning-sdk | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/tests/test_e2e.py | #! pip install lightning-sdk
import os
import time
import uuid
from lightning_sdk import Machine, Studio
scripts = [
("pytorch_lightning/ptl_default.py", "torch lightning", ["ptl_default.ckpt"]),
("pytorch_lightning/ptl_ddp.py", "torch lightning", ["ptl_ddp.ckpt"]),
("pytorch_lightning/ptl_fsdp.py", "tor... | 0 |
public_repos/Lightning-multinode-templates | public_repos/Lightning-multinode-templates/pytorch/pytorch_ddp.py | import os
import torch
import torch.distributed as dist
import torch.nn.functional as F
from torch.utils.data import DataLoader, random_split
from torch.nn.parallel import DistributedDataParallel as DDP
import torch.multiprocessing as mp
from torch.utils.data.distributed import DistributedSampler
from lightning.pytor... | 0 |
public_repos | public_repos/utilities/MANIFEST.in | include CHANGELOG.md
recursive-include src py.typed
graft src/lightning_utilities/test
graft requirements
prune src/lightning_utilities/cli
| 0 |
public_repos | public_repos/utilities/setup.py | #!/usr/bin/env python
import glob
import os
from importlib.util import module_from_spec, spec_from_file_location
from pkg_resources import parse_requirements
from setuptools import find_packages, setup
_PATH_ROOT = os.path.realpath(os.path.dirname(__file__))
_PATH_SOURCE = os.path.join(_PATH_ROOT, "src")
_PATH_REQUIR... | 0 |
public_repos | public_repos/utilities/.codecov.yml | # see https://docs.codecov.io/docs/codecov-yaml
# Validation check:
# $ curl --data-binary @.codecov.yml https://codecov.io/validate
# https://docs.codecov.io/docs/codecovyml-reference
codecov:
bot: "codecov-io"
strict_yaml_branch: "yaml-config"
require_ci_to_pass: yes
notify:
# after_n_builds: 2
wait_... | 0 |
public_repos | public_repos/utilities/Makefile | .PHONY: test clean docs
# to imitate SLURM set only single node
export SLURM_LOCALID=0
# assume you have installed need packages
export SPHINX_MOCK_REQUIREMENTS=0
test:
pip install -q -r requirements/cli.txt -r requirements/_tests.txt
# use this to run tests
rm -rf _ckpt_*
rm -rf ./lightning_logs
python -m cove... | 0 |
public_repos | public_repos/utilities/.pre-commit-config.yaml | default_language_version:
python: python3
ci:
autofix_prs: true
autoupdate_commit_msg: "[pre-commit.ci] pre-commit suggestions"
autoupdate_schedule: monthly
# submodules: true
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: end-of-file-fixer
- id:... | 0 |
public_repos | public_repos/utilities/pyproject.toml | [metadata]
license_file = "LICENSE"
description-file = "README.md"
[build-system]
requires = [
"setuptools",
"wheel",
]
[tool.check-manifest]
ignore = [
"*.yml",
".github",
".github/*"
]
[tool.pytest.ini_options]
norecursedirs = [
".git",
".github",
"dist",
"build",
"docs",
]
... | 0 |
public_repos | public_repos/utilities/.prettierignore | # Ignore all MD files:
**/*.md
| 0 |
public_repos | public_repos/utilities/README.md | # Lightning Utilities
[](https://github.com/Lightning-AI/utilities/actions/workflows/ci-testing.yml)
[![Apply checks](https://github.com/Lightning-AI/utilities/actions/workflows/ci-use-checks.yaml/badge.svg?eve... | 0 |
public_repos | public_repos/utilities/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
public_repos | public_repos/utilities/CHANGELOG.md | # Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [UnReleased] - 2023-MM-DD
### Added
-
### Changed
-
### ... | 0 |
public_repos/utilities | public_repos/utilities/requirements/_docs.txt | sphinx >=6.0,<7.0
myst-parser >=2.0.0, <3.0.0
nbsphinx >=0.8.5
ipython[notebook]
pandoc >=1.0
docutils >=0.16
# https://github.com/jupyterlab/jupyterlab_pygments/issues/5
pygments >=2.4.1
sphinxcontrib-fulltoc >=1.0
sphinxcontrib-mockautodoc
pt-lightning-sphinx-theme @ https://github.com/Lightning-AI/lightning_sphinx_... | 0 |
public_repos/utilities | public_repos/utilities/requirements/docs.txt | requests >=2.0.0
| 0 |
public_repos/utilities | public_repos/utilities/requirements/gha-schema.txt | check-jsonschema ==0.27.1
| 0 |
public_repos/utilities | public_repos/utilities/requirements/_tests.txt | coverage ==7.2.7
pytest ==7.4.3
pytest-cov ==4.1.0
pytest-timeout ==2.2.0
| 0 |
public_repos/utilities | public_repos/utilities/requirements/cli.txt | fire
| 0 |
public_repos/utilities | public_repos/utilities/requirements/typing.txt | mypy>=1.0.0
types-setuptools
| 0 |
public_repos/utilities | public_repos/utilities/requirements/base.txt | importlib-metadata >=4.0.0; python_version < '3.8'
packaging >=17.1
setuptools
typing_extensions
| 0 |
public_repos/utilities/src | public_repos/utilities/src/lightning_utilities/__about__.py | import time
__version__ = "0.11.0dev"
__author__ = "Lightning AI et al."
__author_email__ = "pytorch@lightning.ai"
__license__ = "Apache-2.0"
__copyright__ = f"Copyright (c) 2022-{time.strftime('%Y')}, {__author__}."
__homepage__ = "https://github.com/Lightning-AI/utilities"
__docs__ = "Lightning toolbox for across th... | 0 |
public_repos/utilities/src | public_repos/utilities/src/lightning_utilities/__init__.py | """Root package info."""
import os
from lightning_utilities.__about__ import * # noqa: F403
from lightning_utilities.core.apply_func import apply_to_collection
from lightning_utilities.core.enums import StrEnum
from lightning_utilities.core.imports import compare_version, module_available
from lightning_utilities.co... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/test/warning.py | # Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import re
import warnings
from contextlib import contextmanager
from typing import Generator, Optional, Type
@contextmanager
def no_warning_call(expected_warning: Type[Warning] = Warning, match: Option... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/test/__init__.py | """General testing functionality."""
| 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/enums.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import warnings
from enum import Enum
from typing import List, Optional
from typing_extensions import Literal
class StrEnum(str, Enum):
"""Type of any enume... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/rank_zero.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
"""Utilities that can be used for calling functions on a particular rank."""
import logging
import warnings
from functools import wraps
from platform import python... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/inheritance.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
from typing import Iterator, Set, Type
def get_all_subclasses_iterator(cls: Type) -> Iterator[Type]:
"""Iterate over all subclasses."""
def recurse(cl: ... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/apply_func.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import dataclasses
from collections import OrderedDict, defaultdict
from copy import deepcopy
from typing import Any, Callable, List, Mapping, Optional, Sequence, ... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/overrides.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
from functools import partial
from typing import Type
from unittest.mock import Mock
def is_overridden(method_name: str, instance: object, parent: Type[object]) ... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/imports.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
import functools
import importlib
import os
import warnings
from functools import lru_cache
from importlib.util import find_spec
from types import ModuleType
from t... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/core/__init__.py | """Core utilities."""
from lightning_utilities.core.apply_func import apply_to_collection
from lightning_utilities.core.enums import StrEnum
from lightning_utilities.core.imports import compare_version, module_available
from lightning_utilities.core.overrides import is_overridden
from lightning_utilities.core.rank_zero... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/install/requirements.py | # Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import re
from distutils.version import LooseVersion
from pathlib import Path
from typing import Any, Iterable, Iterator, List, Optional, Union
from pkg_resources import Requirement, yield_lines
class... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/install/__init__.py | """Generic Installation tools."""
from lightning_utilities.install.requirements import Requirement, load_requirements
__all__ = ["load_requirements", "Requirement"]
| 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/cli/__main__.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import fire
from lightning_utilities.cli.dependencies import prune_pkgs_in_requirements, replace_oldest_ver
def main() -> None:
"""CLI entry point."""
f... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/cli/dependencies.py | # Copyright The PyTorch Lightning team.
# Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import glob
import os.path
from pprint import pprint
from typing import Sequence
REQUIREMENT_ROOT = "requirements.txt"
REQUIREMENT_FILES_ALL: list = glob.glob(os.... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/cli/__init__.py | """CLI root."""
| 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/docs/formatting.py | # Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import glob
import inspect
import os
import re
import sys
from typing import Tuple
def _transform_changelog(path_in: str, path_out: str) -> None:
"""Adjust changelog titles so not to be duplicated.... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/docs/retriever.py | # Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
import glob
import logging
import os
import re
from typing import List, Tuple
import requests
def _download_file(file_url: str, folder: str) -> str:
"""Download a file from URL to a particular fol... | 0 |
public_repos/utilities/src/lightning_utilities | public_repos/utilities/src/lightning_utilities/docs/__init__.py | from lightning_utilities.docs.retriever import fetch_external_assets
| 0 |
public_repos/utilities/tests | public_repos/utilities/tests/unittests/mocks.py | from typing import Any, Iterable
from lightning_utilities.core.imports import package_available
if package_available("torch"):
import torch
else:
# minimal torch implementation to avoid installing torch in testing CI
class TensorMock:
def __init__(self, data) -> None:
self.data = data
... | 0 |
public_repos/utilities/tests | public_repos/utilities/tests/unittests/__init__.py | import os
_PATH_UNITTESTS = os.path.dirname(__file__)
_PATH_ROOT = os.path.dirname(os.path.dirname(_PATH_UNITTESTS))
| 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/test/test_warnings.py | import warnings
from re import escape
import pytest
from lightning_utilities.test.warning import no_warning_call
def test_no_warning_call():
with no_warning_call():
...
with pytest.raises(AssertionError, match=escape("`Warning` was raised: UserWarning('foo')")), no_warning_call():
warnings.w... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_apply_func.py | import dataclasses
import numbers
from collections import OrderedDict, defaultdict, namedtuple
from dataclasses import InitVar
from typing import Any, ClassVar, List, Optional
import pytest
from lightning_utilities.core.apply_func import apply_to_collection, apply_to_collections
from unittests.mocks import torch
_TEN... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_inheritance.py | from lightning_utilities.core.inheritance import get_all_subclasses
def test_get_all_subclasses():
class A1:
...
class A2(A1):
...
class B1:
...
class B2(B1):
...
class C(A2, B2):
...
assert get_all_subclasses(A1) == {A2, C}
assert get_all_subcl... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_overrides.py | from contextlib import contextmanager
from functools import partial, wraps
from typing import Any, Callable
from unittest.mock import Mock
import pytest
from lightning_utilities.core.overrides import is_overridden
class LightningModule:
def training_step(self):
...
class BoringModel(LightningModule):
... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_enums.py | from enum import Enum
from lightning_utilities.core.enums import StrEnum
def test_consistency():
class MyEnum(StrEnum):
FOO = "FOO"
BAR = "BAR"
BAZ = "BAZ"
NUM = "32"
# normal equality, case invariant
assert MyEnum.FOO == "FOO"
assert MyEnum.FOO == "foo"
# int su... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_imports.py | import operator
import re
import pytest
from lightning_utilities.core.imports import (
RequirementCache,
compare_version,
get_dependency_min_version_spec,
lazy_import,
module_available,
requires,
)
try:
from importlib.metadata import PackageNotFoundError
except ImportError:
# Python < ... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/core/test_rank_zero.py | import pytest
from lightning_utilities.core.rank_zero import rank_prefixed_message, rank_zero_only
def test_rank_zero_only_raises():
foo = rank_zero_only(lambda x: x + 1)
with pytest.raises(RuntimeError, match="rank_zero_only.rank` needs to be set "):
foo(1)
@pytest.mark.parametrize("rank", [0, 1, 4... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/cli/test_dependencies.py | from pathlib import Path
from lightning_utilities.cli.dependencies import prune_pkgs_in_requirements, replace_oldest_ver
_PATH_ROOT = Path(__file__).parent.parent.parent
def test_prune_packages(tmpdir):
req_file = tmpdir / "requirements.txt"
with open(req_file, "w") as fp:
fp.writelines(["fire\n", "... | 0 |
public_repos/utilities/tests/unittests | public_repos/utilities/tests/unittests/docs/test_retriever.py | import os.path
import shutil
from unittests import _PATH_ROOT
from lightning_utilities.docs import fetch_external_assets
def test_retriever_s3():
path_docs = os.path.join(_PATH_ROOT, "docs", "source")
path_index = os.path.join(path_docs, "index.rst")
path_page = os.path.join(path_docs, "any", "extra", "... | 0 |
public_repos/utilities/tests | public_repos/utilities/tests/scripts/test_adjust_torch_versions.py | import os
import platform
import subprocess
import sys
from scripts import _PATH_SCRIPTS
REQUIREMENTS_SAMPLE = """
# This is sample requirements file
# with multi line comments
torchvision >=0.13.0, <0.16.0 # sample # comment
gym[classic,control] >=0.17.0, <0.27.0
ipython[all] <8.15.0 # strict
torchmetrics >=0.10... | 0 |
public_repos/utilities/tests | public_repos/utilities/tests/scripts/__init__.py | import os
_PATH_HERE = os.path.dirname(__file__)
_PATH_ROOT = os.path.dirname(os.path.dirname(_PATH_HERE))
_PATH_SCRIPTS = os.path.join(_PATH_ROOT, "scripts")
| 0 |
public_repos/utilities | public_repos/utilities/scripts/adjust-torch-versions.py | # Licensed under the Apache License, Version 2.0 (the "License");
# http://www.apache.org/licenses/LICENSE-2.0
#
"""Adjusting version across PTorch ecosystem."""
import logging
import os
import re
import sys
from typing import Dict, List, Optional
VERSIONS = [
{"torch": "2.2.0", "torchvision": "0.17.0", "torch... | 0 |
public_repos/utilities | public_repos/utilities/docs/make.bat | @ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=source
set BUILDDIR=build
if "%1" == "" goto help
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
... | 0 |
public_repos/utilities | public_repos/utilities/docs/Makefile | # Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS = -T -W
SPHINXBUILD = python $(shell which sphinx-build)
SOURCEDIR = source
BUILDDIR = build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$... | 0 |
public_repos/utilities | public_repos/utilities/docs/.build_docs.sh | make clean
make html --debug --jobs $(nproc)
| 0 |
public_repos/utilities | public_repos/utilities/docs/.readthedocs.yaml | # .readthedocs.yml in docs/ ~ need to be re-defined in RTFD settings UI
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Set the OS, Python version and other tools you might need
build:
os: ubuntu-22.04
tools:
python: "3.8"
... | 0 |
public_repos/utilities/docs | public_repos/utilities/docs/source/index.rst | .. LightningAI-DevToolbox documentation master file, created by
sphinx-quickstart on Wed Mar 25 21:34:07 2020.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Lightning-DevToolbox documentation
==================================
.. figure:: http... | 0 |
public_repos/utilities/docs | public_repos/utilities/docs/source/conf.py | #
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
import glob
import inspect
import os
import re
import sys
import pt_lightning_sphinx_theme
import l... | 0 |
public_repos/utilities/docs/source | public_repos/utilities/docs/source/_templates/theme_variables.jinja | {%- set external_urls = {
'github': 'https://github.com/Lightning-AI/utilities',
'github_issues': 'https://github.com/Lightning-AI/utilities/issues',
'contributing': 'https://github.com/Lightning-AI/lightning/blob/master/CONTRIBUTING.md',
'governance': 'https://github.com/Lightning-AI/lightning/blob/master/gove... | 0 |
public_repos/utilities/docs/source | public_repos/utilities/docs/source/_static/copybutton.js | /* Copied from the official Python docs: https://docs.python.org/3/_static/copybutton.js */
$(document).ready(function () {
/* Add a [>>>] button on the top-right corner of code samples to hide
* the >>> and ... prompts and the output and thus make the code
* copyable. */
var div = $(
".highlight-python .... | 0 |
public_repos/utilities/docs/source/_static | public_repos/utilities/docs/source/_static/images/logo.svg | <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<svg
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns="http://www.w3.org/2000/svg"
xmlns:sodipodi="http://sod... | 0 |
public_repos/utilities/docs/source/_static | public_repos/utilities/docs/source/_static/images/logo-small.svg | <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<svg
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns="http://www.w3.org/2000/svg"
xmlns:sodipodi="http://sod... | 0 |
public_repos/utilities/docs/source/_static | public_repos/utilities/docs/source/_static/images/icon.svg | <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<svg
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns="http://www.w3.org/2000/svg"
xmlns:sodipodi="http://sod... | 0 |
public_repos/utilities/docs/source/_static | public_repos/utilities/docs/source/_static/images/logo-large.svg | <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<svg
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns="http://www.w3.org/2000/svg"
xmlns:sodipodi="http://sod... | 0 |
public_repos | public_repos/pandas/environment.yml | # Local development dependencies including docs building, website upload, ASV benchmark
name: pandas-dev
channels:
- conda-forge
dependencies:
- python=3.10
- pip
# build dependencies
- versioneer[toml]
- cython=3.0.5
- meson[ninja]=1.2.1
- meson-python=0.13.1
# test dependencies
- pytest>=7.3.2
... | 0 |
public_repos | public_repos/pandas/MANIFEST.in | graft doc
prune doc/build
graft LICENSES
graft pandas
global-exclude *.bz2
global-exclude *.csv
global-exclude *.data
global-exclude *.dta
global-exclude *.feather
global-exclude *.tar
global-exclude *.gz
global-exclude *.h5
global-exclude *.html
global-exclude *.json
global-exclude *.jsonl
global-exclude *.kml
glob... | 0 |
public_repos | public_repos/pandas/generate_pxi.py | import argparse
import os
from Cython import Tempita
def process_tempita(pxifile, outfile):
with open(pxifile, encoding="utf-8") as f:
tmpl = f.read()
pyxcontent = Tempita.sub(tmpl)
with open(outfile, "w", encoding="utf-8") as f:
f.write(pyxcontent)
def main():
parser = argparse.Ar... | 0 |
public_repos | public_repos/pandas/CITATION.cff | cff-version: 1.2.0
title: 'pandas-dev/pandas: Pandas'
message: 'If you use this software, please cite it as below.'
authors:
- name: "The pandas development team"
abstract: "Pandas is a powerful data structures for data analysis, time series, and statistics."
license: BSD-3-Clause
license-url: "https://github.com/pan... | 0 |
public_repos | public_repos/pandas/generate_version.py | #!/usr/bin/env python3
# Note: This file has to live next to setup.py or versioneer will not work
import argparse
import os
import sys
import versioneer
sys.path.insert(0, "")
def write_version_info(path):
version = None
git_version = None
try:
import _version_meson
version = _version... | 0 |
public_repos | public_repos/pandas/meson.build | # This file is adapted from https://github.com/scipy/scipy/blob/main/meson.build
project(
'pandas',
'c', 'cpp', 'cython',
version: run_command(['generate_version.py', '--print'], check: true).stdout().strip(),
license: 'BSD-3',
meson_version: '>=1.2.1',
default_options: [
'buildtype=rele... | 0 |
public_repos | public_repos/pandas/setup.py | #!/usr/bin/env python3
"""
Parts of this file were taken from the pyzmq project
(https://github.com/zeromq/pyzmq) which have been permitted for use under the
BSD license. Parts are from lxml (https://github.com/lxml/lxml)
"""
import argparse
import multiprocessing
import os
from os.path import join as pjoin
import pl... | 0 |
public_repos | public_repos/pandas/.pre-commit-config.yaml | minimum_pre_commit_version: 2.15.0
exclude: ^LICENSES/|\.(html|csv|svg)$
# reserve "manual" for relatively slow hooks which we still want to run in CI
default_stages: [
commit,
merge-commit,
push,
prepare-commit-msg,
commit-msg,
post-checkout,
post-commit,
post-merge,
post-rewrite
]
... | 0 |
public_repos | public_repos/pandas/Dockerfile | FROM python:3.10.8
WORKDIR /home/pandas
RUN apt-get update && apt-get -y upgrade
RUN apt-get install -y build-essential
# hdf5 needed for pytables installation
RUN apt-get install -y libhdf5-dev
RUN python -m pip install --upgrade pip
RUN python -m pip install \
-r https://raw.githubusercontent.com/pandas-dev/pa... | 0 |
public_repos | public_repos/pandas/requirements-dev.txt | # This file is auto-generated from environment.yml, do not modify.
# See that file for comments about the need/usage of each dependency.
pip
versioneer[toml]
cython==3.0.5
meson[ninja]==1.2.1
meson-python==0.13.1
pytest>=7.3.2
pytest-cov
pytest-xdist>=2.2.0
coverage
python-dateutil
numpy<2
pytz
beautifulsoup4>=4.11.2
... | 0 |
public_repos | public_repos/pandas/AUTHORS.md | About the Copyright Holders
===========================
* Copyright (c) 2008-2011 AQR Capital Management, LLC
AQR Capital Management began pandas development in 2008. Development was
led by Wes McKinney. AQR released the source under this license in 2009.
* Copyright (c) 2011-2012, Lambda Foundry, Inc.
... | 0 |
public_repos | public_repos/pandas/pyproject.toml | [build-system]
# Minimum requirements for the build system to execute.
# See https://github.com/scipy/scipy/pull/12940 for the AIX issue.
requires = [
"meson-python==0.13.1",
"meson==1.2.1",
"wheel",
"Cython==3.0.5", # Note: sync with setup.py, environment.yml and asv.conf.json
# Any NumPy version ... | 0 |
public_repos | public_repos/pandas/.devcontainer.json | // For format details, see https://aka.ms/vscode-remote/devcontainer.json or the definition README at
// https://github.com/microsoft/vscode-dev-containers/tree/master/containers/python-3-miniconda
{
"name": "pandas",
"context": ".",
"dockerFile": "Dockerfile",
// Use 'settings' to set *default* container specific... | 0 |
public_repos | public_repos/pandas/codecov.yml | codecov:
branch: main
notify:
after_n_builds: 10
comment: false
coverage:
status:
project:
default:
target: '82'
patch:
default:
target: '50'
informational: true
github_checks:
annotations: false
| 0 |
public_repos | public_repos/pandas/pyright_reportGeneralTypeIssues.json | {
"typeCheckingMode": "off",
"reportGeneralTypeIssues": true,
"useLibraryCodeForTypes": false,
"include":
[
"pandas",
"typings"
],
"exclude":
[
"pandas/tests",
"pandas/io/clipboard",
"pandas/util/version",
"pandas/_testing/__init__.... | 0 |
public_repos | public_repos/pandas/README.md | <div align="center">
<img src="https://pandas.pydata.org/static/img/pandas.svg"><br>
</div>
-----------------
# pandas: powerful Python data analysis toolkit
| | |
| --- | --- |
| Testing | [](https://github.com/pandas-dev... | 0 |
public_repos | public_repos/pandas/LICENSE | BSD 3-Clause License
Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
Copyright (c) 2011-2023, Open source contributors.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the followin... | 0 |
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