code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from builtins import range
import numpy as np
import pandas as pd
from sklearn import preprocessing
class Standardize(object):
"""
Standardize all columns where the values are numerical.
Parameters
----------
strategy: string, optional (default='normalize')
available options: 'normalize', ... | /run_regression-0.7.tar.gz/run_regression-0.7/run_regression/data_preprocessing/normalize_numerical_columns.py | 0.777891 | 0.620765 | normalize_numerical_columns.py | pypi |
import pathlib
from typing import Any, Callable, List, Optional
from absl import flags
_QUIET = flags.DEFINE_bool(
'quiet', False, 'Don\'t prompt for user confirmation, go with the default '
'option automatically')
def bool_prompt(prompt: str, default_opt: str = '') -> bool:
assert default_opt in ['', 'y'... | /run_rx-0.0.11.tar.gz/run_rx-0.0.11/rx/client/menu.py | 0.713132 | 0.266046 | menu.py | pypi |
import functools
import itertools
import shlex
import subprocess
import time
__version__ = '0.9.1'
_SUBPROCESS_KWDS = {
'shell': False,
'stderr': subprocess.PIPE,
'stdout': subprocess.PIPE,
}
def run(cmd, out=print, err=None, sleep=0, count=None, **kwds):
"""
Run a subprocess, read its stdin and... | /run_subprocess-0.9.1.tar.gz/run_subprocess-0.9.1/run_subprocess.py | 0.59561 | 0.181844 | run_subprocess.py | pypi |
from __future__ import annotations
import abc
import numbers
import jax.numpy as jnp
from jax import grad, jit
class ConstraintModule(abc.ABC):
"""Base class implementation for safety constraints
Implements constraint with form of h(x) >= 0
Parameters
----------
alpha : ConstraintStrengthener
... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/constraint.py | 0.940538 | 0.562777 | constraint.py | pypi |
from __future__ import annotations
import abc
from typing import Dict, Union
import jax.numpy as jnp
from jax import jacfwd, jit
class RTABackupController(abc.ABC):
"""Base Class for backup controllers used by backup control based RTA methods
"""
def __init__(self, controller_state_initial: Union[jnp.n... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/controller.py | 0.956094 | 0.498718 | controller.py | pypi |
from functools import partial
import jax.numpy as jnp
import numpy as np
from jax import jit
@partial(jit, static_argnames=['delta'])
def norm_with_delta(x: jnp.ndarray, delta: float):
"""
Computes the norm of the vector with a small positive delta factor added inside the square root.
Allows norm functio... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/utils.py | 0.944035 | 0.767559 | utils.py | pypi |
from collections import OrderedDict
from typing import Dict, Tuple, Union
import jax.numpy as jnp
import numpy as np
import scipy
from safe_autonomy_dynamics.base_models import BaseLinearODESolverDynamics
from safe_autonomy_dynamics.cwh import M_DEFAULT, N_DEFAULT, generate_cwh_matrices
from run_time_assurance.constr... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/zoo/cwh/docking_3d.py | 0.939616 | 0.424233 | docking_3d.py | pypi |
from collections import OrderedDict
from typing import Dict, Tuple, Union
import jax.numpy as jnp
import numpy as np
import scipy
from safe_autonomy_dynamics.base_models import BaseLinearODESolverDynamics
from safe_autonomy_dynamics.cwh import M_DEFAULT, N_DEFAULT, generate_cwh_matrices
from run_time_assurance.constr... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/zoo/cwh/docking_2d.py | 0.931119 | 0.467149 | docking_2d.py | pypi |
from __future__ import annotations
import abc
import warnings
from typing import Any, Dict, Union
import jax.numpy as jnp
import numpy as np
import quadprog
from jax import jacfwd, jit, vmap
from run_time_assurance.constraint import ConstraintModule
from run_time_assurance.controller import RTABackupController
from ... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/rta/asif.py | 0.939658 | 0.407481 | asif.py | pypi |
from __future__ import annotations
import abc
from typing import Any
import jax.numpy as jnp
from jax import jit, vmap
from run_time_assurance.controller import RTABackupController
from run_time_assurance.rta.base import BackupControlBasedRTA
from run_time_assurance.utils import add_dim_jit, jnp_stack_jit
class Si... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/rta/simplex.py | 0.950261 | 0.430806 | simplex.py | pypi |
from __future__ import annotations
import abc
from collections import OrderedDict
from typing import Any, Dict, List, Optional, Union
import jax.numpy as jnp
import numpy as np
from run_time_assurance.constraint import ConstraintModule
from run_time_assurance.controller import RTABackupController
from run_time_assur... | /run-time-assurance-1.0.1.tar.gz/run-time-assurance-1.0.1/run_time_assurance/rta/base.py | 0.94766 | 0.364269 | base.py | pypi |
import torch
import torch.utils.data as data
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
import warnings
def create_dataloader(features, targets, batch_size, train_size=0.8,
test_size=0.2, validation_size=0, seed=42,
... | /run_torch_model-1.0.2-py3-none-any.whl/run_torch_model/tools.py | 0.82887 | 0.751603 | tools.py | pypi |
[](https://travis-ci.org/hz-inova/run_jnb)
[](https://ci.appveyor.com/project/aplamada/run-jnb/branch/master)
[](https://github.com/psf/black)
[](https://opensource.org/licenses/MIT)
[](https://pypi.org/project/runc... | /runcon-1.2.0a2.tar.gz/runcon-1.2.0a2/README.md | 0.662469 | 0.963678 | README.md | pypi |
from .relational import One2many
from .record import Record
from .defaults import _sentinelle
from copy import deepcopy
from .tools.serialization import get_random_id
class RecordSet:
def __init__(self, table, key="id", one2many={}):
self._table = table
self._data = {}
if not isinstance(key... | /rundb-0.6-py3-none-any.whl/RunDB/recordset.py | 0.67405 | 0.151969 | recordset.py | pypi |
__docformat__ = "restructuredtext en"
def child2dict(el):
"""Turns an ElementTree.Element's children into a dict using the node names as dict keys and
and the node text as dict values
:Parameters:
el : ElementTree.Element
:return: a dictionary of element key(tag name)/value(node text) pairs
... | /rundeckrun-0.2.1.tar.gz/rundeckrun-0.2.1/rundeck/util.py | 0.852813 | 0.619615 | util.py | pypi |
===============================
runenv
===============================
.. image:: https://img.shields.io/travis/onjin/runenv.svg
:target: https://travis-ci.org/onjin/runenv
.. image:: https://img.shields.io/pypi/v/runenv.svg
:target: https://pypi.python.org/pypi/runenv
.. image:: https://img.shields.... | /runenv-1.0.1.tar.gz/runenv-1.0.1/README.rst | 0.762513 | 0.668718 | README.rst | pypi |
from datetime import datetime, timezone
from rs3_api.httpService.http_request import http_get
from .endpoints import GRAND_EXCHANGE_API_ENDPOINTS
from .utils.jagex import abbrv_price_to_num, is_int, is_str, is_valid_category, unwrap_category_dict
class GrandExchange:
""" Grand Exchange """
def get_catalogue(s... | /runescape3_api-2.0.0-py3-none-any.whl/rs3_api/grand_exchange.py | 0.69987 | 0.283124 | grand_exchange.py | pypi |
SKILLS = [
"overall",
"attack",
"defence",
"strength",
"constitution",
"ranged",
"prayer",
"magic",
"cooking",
"woodcutting",
"fletching",
"fishing",
"firemaking",
"crafting",
"smithing",
"mining",
"herblore",
"agility",
"thieving",
"slayer... | /runescape3_api-2.0.0-py3-none-any.whl/rs3_api/models.py | 0.429429 | 0.546436 | models.py | pypi |
from .endpoints import HISCORE_API_ENDPOINTS
from .models import SKILLS, ACTIVITIES
from .utils.jagex import parse_player_to_dict, is_str, is_int
from .httpService.http_request import http_get
class Hiscores:
"""Player Hiscores"""
def get_ranking(self, index: int = 0, category: str = "skill", size: int = 25) ... | /runescape3_api-2.0.0-py3-none-any.whl/rs3_api/hiscores.py | 0.520253 | 0.221025 | hiscores.py | pypi |
__author__ = 'isaiahmayerchak'
#acbart did most of this code, I mostly just changed the template
from docutils import nodes
from docutils.parsers.rst import directives
from runestone.assess import Assessment
from runestone.server.componentdb import addQuestionToDB, addHTMLToDB
from runestone.common.runestonedirective ... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/shortanswer/shortanswer.py | 0.453262 | 0.182134 | shortanswer.py | pypi |
__author__ = 'isaiahmayerchak'
from docutils import nodes
from docutils.parsers.rst import directives
from runestone.common.runestonedirective import RunestoneDirective, RunestoneNode
def setup(app):
#Add directives/javascript/css
app.add_directive('tabbed', TabbedStuffDirective)
app.add_directive('tab', TabD... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/tabbedStuff/tabbedStuff.py | 0.494873 | 0.231593 | tabbedStuff.py | pypi |
__author__ = 'tconzett'
from docutils import nodes
from docutils.parsers.rst import directives
from docutils.parsers.rst import Directive
from runestone.server.componentdb import addQuestionToDB, addHTMLToDB
from runestone.common.runestonedirective import RunestoneIdDirective
def setup(app):
app.add_directive('sh... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/showeval/showeval.py | 0.46563 | 0.194483 | showeval.py | pypi |
SimpleTreeModel = function() //construct the model
{
}
SimpleTreeModel.prototype.init = function(ctl)
{
var model = [
{ nodelist: {C_0: {color: 'blue', style: 'filled'},
H_0: {type: 's', shape: 'record', color: 'blue', label: 'foo'},
H_1: {type: 's'}, H_2: {type: 's'},
C_1: {type: 's'}, H_3: {type... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/animation/simpletree.js | 0.62223 | 0.678852 | simpletree.js | pypi |
(function($) { // Hide scope, no $ conflict
$.extend($.gchart._defaults, {
// Maps -------------------
mapLatLong: false, // True to use lat/long coords in mapArea
mapArea: null, // New maps: (number) pixel border all around or
// (number[4]) individual pixel borders or lat/long
// Original maps: the gener... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/animation/jqchart/jquery.gchart.ext.js | 0.564339 | 0.562177 | jquery.gchart.ext.js | pypi |
$('div selector').gchart({type: 'pie', series: [$.gchart.series([101, 84])]});
*/
(function($) { // Hide scope, no $ conflict
/* Google Charting manager. */
function GChart() {
this._defaults = {
width: 0, // Width of the chart
height: 0, // Height of the chart
format: 'png', // Returned format: png, gif
... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/animation/jqchart/jquery.gchart.js | 0.578686 | 0.697032 | jquery.gchart.js | pypi |
__author__ = 'isaiahmayerchak'
from docutils import nodes
from docutils.parsers.rst import directives
from runestone.common.runestonedirective import RunestoneIdDirective, RunestoneNode
#add directives/javascript/css
def setup(app):
app.add_directive('reveal', RevealDirective)
app.add_js_file('reveal.js')
... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/reveal/reveal.py | 0.450601 | 0.174727 | reveal.py | pypi |
__author__ = 'isaiahmayerchak'
from docutils import nodes
from docutils.parsers.rst import directives
from runestone.common.runestonedirective import RunestoneIdDirective, RunestoneNode
#add directives/javascript/css
class TimedNode(nodes.General, nodes.Element, RunestoneNode):
def __init__(self, content, **kwa... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/assess/timedassessment.py | 0.523908 | 0.251177 | timedassessment.py | pypi |
<h2>Multiple Choice</h2>
<ul data-component="multiplechoice" data-multipleanswers="true" data-random id="question-1">
The Question can go right here.
<li data-component="answer" id="123" >Answer One</li>
<li data-component="feedback" for="123">Feedback for One</li>
<li data-component="answer" id="456">... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/assess/README.md | 0.521715 | 0.700152 | README.md | pypi |
from docutils import nodes
from docutils.parsers.rst import directives
from runestone.common.runestonedirective import RunestoneIdDirective, RunestoneNode
__author__ = 'bmiller'
def setup(app):
app.add_directive('question', QuestionDirective)
app.add_node(QuestionNode, html=(visit_question_node, depart_que... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/question/question.py | 0.450601 | 0.27349 | question.py | pypi |
dftTableAttr = 'cellspacing="0" cellpadding="10"'
class Matrix :
def __init__ (self, nrows=1, ncols=1, data=None,
dftFormat="", dftStyle="", title="",
tableAttr=dftTableAttr, tableHeaders=None,
Expand=True) :
self.nrows = nrows
self.ncols = nco... | /runestone-petljadoc-3.1.2.5.tar.gz/runestone-petljadoc-3.1.2.5/runestone/codelens/matrix.py | 0.522933 | 0.307735 | matrix.py | pypi |
from enum import Enum
from re import S
class _PropAttr(Enum):
key = 'key'
value = 'value'
class Properties:
_props = []
def __init__(self, equals_character:str = '='):
self.equals_character = equals_character
def _is_a_valid_line(self, line:str) -> bool:
return line and not line... | /runfalcon_build_tools-1.4.1-py3-none-any.whl/runfalconbuildtools/properties.py | 0.533519 | 0.220521 | properties.py | pypi |
# Runfile
Runfiles are generic task files defined in Markdown.
For an example, look at [this project’s
Runfile](https://github.com/awkspace/runfile/blob/master/Runfile.md).
## Installation
Install from [PyPI](https://pypi.org/project/runfile/):
```sh
pip install runfile
```
Then add `source <(run --bash-completio... | /runfile-1.0.7.tar.gz/runfile-1.0.7/README.md | 0.870542 | 0.800926 | README.md | pypi |
from collections import defaultdict
class Data:
"""
A class to hold ground truth or predictions data in an easy to work with format.
Note that any time they appear, bounding boxes are [x, y, width, height] where
x,y are the coordinates of the top_left corner, and masks are either a list of
polygon... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/data.py | 0.938906 | 0.637581 | data.py | pypi |
import json
from collections import defaultdict
from copy import copy
from typing import List, Tuple
from tidecv.data import Data
from tidecv.errors.error import Error
def json_to_Data(json_path: str) -> Tuple[Data, Data]:
"""
Parse a json file obtained from a vaex dataframe df_box via .to_records()
and ... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/helpers.py | 0.688783 | 0.374791 | helpers.py | pypi |
import os
import sys
import numpy as np
def mean(arr: list):
if len(arr) == 0:
return 0
return sum(arr) / len(arr)
def find_first(arr: np.array) -> int:
"""Finds the index of the first instance of true in a vector or None if not found."""
if len(arr) == 0:
return None
idx = arr.... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/functions.py | 0.520253 | 0.615781 | functions.py | pypi |
from collections import defaultdict
from typing import Dict
import numpy as np
from pycocotools import mask as mask_utils
from .data import Data
class APDataObject:
"""
Stores all the information necessary to calculate the AP for one IoU and one class.
Note: I type annotated this because why not.
""... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/ap.py | 0.911885 | 0.602588 | ap.py | pypi |
import json
import os
import shutil
import urllib.request
import zipfile
from collections import defaultdict
from pathlib import Path
from appdirs import user_data_dir
from . import functions as f
from .data import Data
def default_name(path: str) -> str:
return os.path.splitext(os.path.basename(path))[0]
def... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/datasets.py | 0.49585 | 0.190705 | datasets.py | pypi |
from typing import Union
class Error:
"""A base class for all error types."""
def fix(self) -> Union[tuple, None]:
"""
Returns a fixed version of the AP data point for this error or
None if this error should be suppressed.
Return type is:
class:int, (score:flo... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/errors/error.py | 0.905483 | 0.362913 | error.py | pypi |
from .error import BestGTMatch, Error
class ClassError(Error):
description = (
"Error caused when a prediction would have been marked positive "
+ "if it had the correct class."
)
short_name = "Cls"
def __init__(self, pred: dict, gt: dict):
self.pred = pred
self.gt = ... | /rungalileo-tidecv-0.0.5.tar.gz/rungalileo-tidecv-0.0.5/tidecv/errors/main_errors.py | 0.826537 | 0.268171 | main_errors.py | pypi |
# rungutan-cli
## What is Rungutan?
[Rungutan](https://rungutan.com) is the first API Load Testing SaaS platform worldwide, 100% Serverless, which helps you simulate workflows to emulate user experience, so it's easier to design workflow oriented strategies.
## Where do I sign up?
Although we love our [landing pa... | /rungutan-1.9.0.tar.gz/rungutan-1.9.0/README.md | 0.455441 | 0.731922 | README.md | pypi |
from odbms import DBMS, Model
class Project(Model):
TABLE_NAME = 'projects'
def __init__(self, user_id, name, version="0.0.1", description="", homepage="",
language="", runtime="", start_file="", private=False, author={}, created_at=None, updated_at=None, id=None):
super().__init__(created_at, upd... | /runit_server-0.2.4-py3-none-any.whl/runit_server/models/project.py | 0.609873 | 0.167015 | project.py | pypi |
import inspect
from typing import Dict, Optional
from uuid import UUID
from pydantic import BaseModel
from sdk import globals
from sdk.constants.enums import Mode
from sdk.primitive import Primitive
class ContextKey(BaseModel):
key: str
class Context:
def __getitem__(self, key):
return ContextKey(... | /runllm-0.0.0-py3-none-any.whl/sdk/task.py | 0.672869 | 0.194005 | task.py | pypi |
Usage
=====
Runmanager is the primary means of defining and managing the set of experiment parameters
(global variables - see §5.1.3) used in the labscript experiment logic. Runmanager also
handles the creation of each hdf5 shot file, and the invocation of labscript via the execution
of a user specified labscript expe... | /runmanager-3.2.0rc1.tar.gz/runmanager-3.2.0rc1/docs/source/usage.rst | 0.947143 | 0.867148 | usage.rst | pypi |
"""The vision/dataset module containing the vision Dataset class and its functions."""
# pylint: disable=protected-access
import random
from abc import abstractmethod
from collections import defaultdict
from copy import copy
from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Type, TypeVar, Unio... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/vision_data.py | 0.963446 | 0.514644 | vision_data.py | pypi |
"""The vision/dataset module containing the vision Dataset class and its functions."""
from abc import abstractmethod
from typing import List, Union
import torch
from runml_checks.core.errors import runml_checksNotImplementedError, ValidationError
from runml_checks.vision.vision_data import TaskType, VisionData
cla... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/classification_data.py | 0.973418 | 0.922831 | classification_data.py | pypi |
"""The vision/dataset module containing the vision Dataset class and its functions."""
from abc import abstractmethod
from typing import List, Sequence
import torch
from runml_checks.core.errors import runml_checksNotImplementedError, ValidationError
from runml_checks.vision.vision_data import TaskType, VisionData
... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/detection_data.py | 0.979036 | 0.918663 | detection_data.py | pypi |
"""Contains code for BatchWrapper."""
from operator import itemgetter
from typing import TYPE_CHECKING, Any, Callable, Iterable, Tuple, TypeVar, cast
import torch
from runml_checks.core import DatasetKind
from runml_checks.vision.task_type import TaskType
if TYPE_CHECKING:
from runml_checks.vision.context import... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/batch_wrapper.py | 0.95165 | 0.408365 | batch_wrapper.py | pypi |
"""Module for vision base checks."""
from typing import Any, Dict, Mapping, Optional, Sequence, Union
import torch
from ignite.metrics import Metric
from torch import nn
from runml_checks.core.check_result import CheckResult
from runml_checks.core.checks import DatasetKind, ModelOnlyBaseCheck, SingleDatasetBaseCheck,... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/base_checks.py | 0.960007 | 0.397441 | base_checks.py | pypi |
"""Module for Metric Mixin."""
import typing as t
from abc import abstractmethod
import numpy as np
from runml_checks.vision.metrics_utils.iou_utils import compute_pairwise_ious, group_class_detection_label, jaccard_iou
class MetricMixin:
"""Metric util function mixin."""
@abstractmethod
def get_confid... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/metrics_utils/metric_mixin.py | 0.923152 | 0.578508 | metric_mixin.py | pypi |
"""Module for computing Intersection over Unions."""
from collections import defaultdict
import numpy as np
import torch
def jaccard_iou(dt: np.array, gt: np.array):
"""Calculate the jaccard IoU.
See https://en.wikipedia.org/wiki/Jaccard_index
Parameters
----------
dt: np.array
Single D... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/metrics_utils/iou_utils.py | 0.934433 | 0.805881 | iou_utils.py | pypi |
"""Module for defining metrics for the vision module."""
import typing as t
from copy import copy
import numpy as np
import pandas as pd
import torch
from ignite.engine import Engine
from ignite.metrics import Metric, Precision, Recall
from runml_checks.core import DatasetKind
from runml_checks.core.errors import run... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/metrics_utils/metrics.py | 0.954995 | 0.531392 | metrics.py | pypi |
"""Module for custom scorer metric."""
import typing as t
import numpy as np
import torch
from ignite.metrics import Metric
from ignite.metrics.metric import reinit__is_reduced, sync_all_reduce
class CustomScorer(Metric):
"""Metric that runs a custom scorer in the compute on the y, y_pred (can work with sklearn ... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/metrics_utils/custom_scorer.py | 0.944074 | 0.353958 | custom_scorer.py | pypi |
"""Module of ImagePropertyOutliers check."""
import typing as t
import numpy as np
from runml_checks.vision import Batch, VisionData
from runml_checks.vision.checks.data_integrity.abstract_property_outliers import AbstractPropertyOutliers
from runml_checks.vision.utils.image_properties import default_image_properties... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/data_integrity/image_property_outliers.py | 0.91967 | 0.73179 | image_property_outliers.py | pypi |
"""Module contains LabelPropertyOutliers check."""
import typing as t
import numpy as np
from runml_checks.core.errors import runml_checksProcessError
from runml_checks.vision import Batch
from runml_checks.vision.checks.data_integrity.abstract_property_outliers import AbstractPropertyOutliers
from runml_checks.visio... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/data_integrity/label_property_outliers.py | 0.933979 | 0.733237 | label_property_outliers.py | pypi |
"""Module containing class performance check."""
import typing as t
from collections import defaultdict
import pandas as pd
import torch
from runml_checks import CheckFailure
from runml_checks.core import CheckResult, DatasetKind
from runml_checks.core.errors import runml_checksProcessError, runml_checksValueError
fr... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/model_error_analysis.py | 0.9357 | 0.508056 | model_error_analysis.py | pypi |
"""Module containing mean average precision report check."""
import math
from typing import Tuple, TypeVar
import numpy as np
import pandas as pd
import plotly.express as px
from runml_checks.core import CheckResult, ConditionResult, DatasetKind
from runml_checks.core.condition import ConditionCategory
from runml_che... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/mean_average_precision_report.py | 0.971524 | 0.497009 | mean_average_precision_report.py | pypi |
"""Module containing simple comparison check."""
from typing import Any, Dict, Hashable, List
import numpy as np
import pandas as pd
import plotly.express as px
import torch
from ignite.metrics import Fbeta
from runml_checks.core import CheckResult, ConditionCategory, ConditionResult, DatasetKind
from runml_checks.co... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/simple_model_comparison.py | 0.942334 | 0.583856 | simple_model_comparison.py | pypi |
"""Module containing a check for computing a scalar performance metric for a single dataset."""
import numbers
import typing as t
import warnings
import torch
from ignite.metrics import Accuracy, Metric
from runml_checks.core import CheckResult, ConditionResult, DatasetKind
from runml_checks.core.condition import Con... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/single_dataset_scalar_performance.py | 0.961198 | 0.483039 | single_dataset_scalar_performance.py | pypi |
"""Module containing class performance check."""
from typing import Dict, List, TypeVar
import pandas as pd
import plotly.express as px
from ignite.metrics import Metric
from runml_checks.core import CheckResult, DatasetKind
from runml_checks.core.check_utils.class_performance_utils import (
get_condition_class_p... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/class_performance.py | 0.962935 | 0.418756 | class_performance.py | pypi |
"""Module containing mean average recall report check."""
import math
from typing import Tuple, TypeVar
import numpy as np
import pandas as pd
from runml_checks.core import CheckResult, ConditionResult, DatasetKind
from runml_checks.core.condition import ConditionCategory
from runml_checks.utils.strings import format... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/checks/model_evaluation/mean_average_recall_report.py | 0.968959 | 0.519887 | mean_average_recall_report.py | pypi |
"""Module for converting YOLO annotations to COCO format."""
import datetime
import json
import os
import os.path as osp
import uuid
from typing import Optional, Sequence, Union
import cv2
import numpy as np
YOLO_PATH = "/Users/nirbenzvi/code/runml_checks/coco128"
# Complete this by putting COCO labels
CATEGORIES = (... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/datasets/detection/yolo_to_coco.py | 0.76207 | 0.340622 | yolo_to_coco.py | pypi |
"""Module for loading a sample of the COCO dataset and the yolov5s model."""
import contextlib
import logging
import os
import typing as t
import warnings
from pathlib import Path
from typing import Iterable, List
import albumentations as A
import cv2
import numpy as np
import torch
from PIL import Image
from torch im... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/datasets/detection/coco.py | 0.940776 | 0.751397 | coco.py | pypi |
"""Module containing measurements for labels and predictions."""
import warnings
from typing import Any, Dict, List, Sequence
import torch
from runml_checks.core.errors import runml_checksValueError
# Labels
def _get_bbox_area(labels: List[torch.Tensor]) -> List[List[int]]:
"""Return a list containing the area... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/label_prediction_properties.py | 0.873363 | 0.750244 | label_prediction_properties.py | pypi |
"""Module for defining detection encoders."""
from collections import Counter
from typing import Iterable, List, Sequence, Tuple, Union
import numpy as np
import torch
from PIL.Image import Image
__all__ = ['verify_bbox_format_notation', 'convert_batch_of_bboxes', 'convert_bbox', 'DEFAULT_PREDICTION_FORMAT']
DEFAUL... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/detection_formatters.py | 0.883132 | 0.499634 | detection_formatters.py | pypi |
"""Module for defining functions related to image data."""
import io
import typing as t
import cv2
import numpy as np
import PIL.Image as pilimage
import PIL.ImageDraw as pildraw
import PIL.ImageOps as pilops
import plotly.graph_objects as go
import torch
from runml_checks.core.errors import runml_checksValueError
fr... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/image_functions.py | 0.944112 | 0.569494 | image_functions.py | pypi |
"""Module for validation of the vision module."""
import os
import random
import traceback
import imgaug
import numpy as np
import torch
from IPython.display import HTML, display
from runml_checks.core.errors import ValidationError
from runml_checks.utils.ipython import is_headless, is_notebook
from runml_checks.util... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/validation.py | 0.764496 | 0.371279 | validation.py | pypi |
"""Module containing the image formatter class for the vision module."""
import warnings
from typing import Any, Dict, List, Tuple
import numpy as np
from skimage.color import rgb2gray
from runml_checks.core.errors import runml_checksValueError
__all__ = ['default_image_properties',
'aspect_ratio',
... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/image_properties.py | 0.935317 | 0.732629 | image_properties.py | pypi |
"""Module for defining functions related to vision transforms."""
import abc
import typing as t
from copy import copy
import albumentations
import imgaug.augmenters as iaa
import numpy as np
import torch
import torchvision.transforms as T
from PIL import Image
from runml_checks.core.errors import runml_checksNotSuppo... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/utils/transformations.py | 0.942777 | 0.473596 | transformations.py | pypi |
import warnings
from typing import Any, Dict, List, Tuple
from ignite.metrics import Metric
from runml_checks.vision import Suite
from runml_checks.vision.checks import (ClassPerformance, ConfusionMatrixReport, FeatureLabelCorrelationChange,
HeatmapComparison, ImageDatasetDrift, ... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/vision/suites/default_suites.py | 0.881717 | 0.49823 | default_suites.py | pypi |
"""Module containing the base checks."""
# pylint: disable=broad-except
import abc
import enum
from collections import OrderedDict
from typing import Any, Callable, ClassVar, Dict, List, Optional, Type, Union
from typing_extensions import TypedDict
from runml_checks.core import check_result as check_types # pylint: ... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/checks.py | 0.902789 | 0.355915 | checks.py | pypi |
"""Module containing the check results classes."""
# pylint: disable=broad-except,import-outside-toplevel,unused-argument
import io
import traceback
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Union, cast
import jsonpickle
import jsonpickle.ext.pandas as jsonpickle_pd
import pandas as pd
fro... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/check_result.py | 0.935169 | 0.215929 | check_result.py | pypi |
"""Module with all runml_checks error types."""
__all__ = ['runml_checksValueError', 'runml_checksNotSupportedError', 'runml_checksProcessError',
'NumberOfFeaturesLimitError', 'DatasetValidationError', 'ModelValidationError',
'runml_checksNotImplementedError', 'ValidationError', 'runml_checksBase... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/errors.py | 0.919331 | 0.405802 | errors.py | pypi |
"""Module containing the check results classes."""
# pylint: disable=super-init-not-called
import base64
import io
from typing import Any, Dict, List, Union
import jsonpickle
import pandas as pd
import plotly
from runml_checks.core.check_result import CheckFailure, CheckResult, DisplayMap
from runml_checks.core.condi... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/check_json.py | 0.902371 | 0.275221 | check_json.py | pypi |
"""Module with check/suite result display strategy in different envs."""
import abc
import html
import io
import sys
import typing as t
import plotly.io as pio
from IPython.core.display import display, display_html
from ipywidgets import Widget
from runml_checks.core.serialization.abc import HTMLFormatter, HtmlSerial... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/display.py | 0.625324 | 0.210644 | display.py | pypi |
"""Main serialization abstractions."""
import abc
import io
import typing as t
import pandas as pd
from ipywidgets.widgets import Widget
from pandas.io.formats.style import Styler
from plotly.basedatatypes import BaseFigure
from typing_extensions import Protocol, runtime_checkable
from runml_checks.core import check_... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/abc.py | 0.859413 | 0.178723 | abc.py | pypi |
"""Module containing html serializer for the CheckResult type."""
import textwrap
import typing as t
from plotly.basedatatypes import BaseFigure
from plotly.io import to_html
from typing_extensions import Literal
from runml_checks.core import check_result as check_types
from runml_checks.core.serialization.abc import... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/check_result/html.py | 0.889361 | 0.18279 | html.py | pypi |
"""Module containing Wandb serializer for the CheckResult type."""
import typing as t
from collections import OrderedDict
import pandas as pd
from pandas.io.formats.style import Styler
from plotly.basedatatypes import BaseFigure
from runml_checks.core import check_result as check_types
from runml_checks.core.serializ... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/check_result/wandb.py | 0.925044 | 0.285531 | wandb.py | pypi |
"""Module containing ipywidget serializer for the CheckResult type."""
import typing as t
import pandas as pd
import plotly.graph_objects as go
from ipywidgets import HTML, Tab, VBox, Widget
from plotly.basedatatypes import BaseFigure
from runml_checks.core import check_result as check_types
from runml_checks.core.se... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/check_result/widget.py | 0.932806 | 0.200108 | widget.py | pypi |
"""Module containing json serializer for the CheckResult type."""
import base64
import typing as t
import pandas as pd
from pandas.io.formats.style import Styler
from plotly.basedatatypes import BaseFigure
from typing_extensions import TypedDict
from runml_checks.core import check_result as check_types
from runml_che... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/check_result/json.py | 0.933363 | 0.236527 | json.py | pypi |
"""Module containing html serializer for the pandas.DataFrame type."""
import typing as t
import warnings
import pandas as pd
from pandas.io.formats.style import Styler
from runml_checks.core.serialization.abc import HtmlSerializer
__all__ = ['DataFrameSerializer']
DataFrameOrStyler = t.Union[pd.DataFrame, Styler]... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/dataframe/html.py | 0.889517 | 0.227587 | html.py | pypi |
"""Module containing Wandb serializer for the SuiteResult type."""
import typing as t
from collections import OrderedDict
from runml_checks.core import check_result as check_types
from runml_checks.core import suite
from runml_checks.core.serialization.abc import WandbSerializer
from runml_checks.core.serialization.ch... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/suite_result/wandb.py | 0.889265 | 0.252137 | wandb.py | pypi |
"""Module containing SuiteResult serialization logic."""
import typing as t
from IPython.display import HTML
from runml_checks.core import check_result as check_types
from runml_checks.core import suite
from runml_checks.core.serialization.abc import IPythonFormatter, IPythonSerializer
from runml_checks.core.serializ... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/suite_result/ipython.py | 0.881475 | 0.172137 | ipython.py | pypi |
"""Module containing JSON serializer for the SuiteResult type."""
import typing as t
from runml_checks.core import check_result as check_types
from runml_checks.core import suite
from runml_checks.core.serialization.abc import JsonSerializer
from runml_checks.core.serialization.check_failure.json import CheckFailureSe... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/suite_result/json.py | 0.890836 | 0.171737 | json.py | pypi |
"""Module containing html serializer for the CheckFailuer type."""
from typing import Optional
from runml_checks.core import check_result as check_types
from runml_checks.core.serialization.abc import HtmlSerializer
__all__ = ['CheckFailureSerializer']
class CheckFailureSerializer(HtmlSerializer['check_types.CheckF... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/serialization/check_failure/html.py | 0.936037 | 0.150778 | html.py | pypi |
"""Module containing class performance condition utils."""
import typing as t
import numpy as np
import pandas as pd
from runml_checks.core import ConditionResult
from runml_checks.core.condition import ConditionCategory
from runml_checks.core.errors import runml_checksValueError
from runml_checks.utils.dict_funcs im... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/check_utils/class_performance_utils.py | 0.936227 | 0.401864 | class_performance_utils.py | pypi |
"""Module containing common feature label correlation (PPS) utils."""
from typing import Optional
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import runml_checks.ppscore as pps
from runml_checks.utils.plot import colors
from runml_checks.utils.strings import format_percent
from runml_chec... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/check_utils/feature_label_correlation_utils.py | 0.960426 | 0.584093 | feature_label_correlation_utils.py | pypi |
"""Module containing common WholeDatasetDriftCheck (domain classifier drift) utils."""
import warnings
from typing import Container, List
import numpy as np
import pandas as pd
import plotly.graph_objects as go
from sklearn.compose import ColumnTransformer
with warnings.catch_warnings():
warnings.simplefilter('ig... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/core/check_utils/whole_dataset_drift_utils.py | 0.925445 | 0.562477 | whole_dataset_drift_utils.py | pypi |
"""Module containing methods for calculating correlation between variables."""
import math
from collections import Counter
from typing import List, Union
import numpy as np
import pandas as pd
from scipy.stats import entropy
from runml_checks.utils.distribution.preprocessing import value_frequency
def conditional_... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/correlation_methods.py | 0.966663 | 0.822866 | correlation_methods.py | pypi |
"""Contain functions for handling dataframes in checks."""
import typing as t
import numpy as np
import pandas as pd
from pandas.core.dtypes.common import is_integer_dtype, is_numeric_dtype
from runml_checks.core.errors import runml_checksValueError
from runml_checks.utils.typing import Hashable
from runml_checks.uti... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/dataframes.py | 0.926295 | 0.656713 | dataframes.py | pypi |
"""Module with usefull decorators."""
import textwrap
import typing as t
from functools import wraps
from runml_checks.utils.logger import get_logger
__all__ = ['Substitution', 'Appender', 'deprecate_kwarg']
F = t.TypeVar('F', bound=t.Callable[..., t.Any])
INDENT = ' '
# Substitution and Appender are derived f... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/decorators.py | 0.811564 | 0.253982 | decorators.py | pypi |
"""Utils module containing feature importance calculations."""
# TODO: move tabular functionality to the tabular sub-package
import time
import typing as t
import numpy as np
import pandas as pd
from pandas.core.dtypes.common import is_datetime_or_timedelta_dtype, is_float_dtype, is_numeric_dtype
from sklearn.inspec... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/features.py | 0.774071 | 0.437163 | features.py | pypi |
"""Utils module containing utilities for plotting."""
import matplotlib.pyplot as plt
import numpy as np
import plotly.graph_objects as go
from matplotlib.cm import ScalarMappable
from matplotlib.colors import LinearSegmentedColormap
from runml_checks.utils.strings import format_number_if_not_nan
__all__ = ['create_c... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/plot.py | 0.943699 | 0.544256 | plot.py | pypi |
"""Utils module containing useful global functions."""
import logging
import os
import time
import typing as t
from functools import lru_cache
import tqdm
from ipykernel.zmqshell import ZMQInteractiveShell
from IPython import get_ipython
from IPython.display import display
from IPython.terminal.interactiveshell import... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/ipython.py | 0.741674 | 0.175467 | ipython.py | pypi |
"""Common metrics to calculate performance on single samples."""
from typing import Union
import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn.preprocessing import LabelBinarizer
from runml_checks import Dataset
from runml_checks.core.errors import runml_checksNotImplementedError
from runml... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/single_sample_metrics.py | 0.931967 | 0.541348 | single_sample_metrics.py | pypi |
"""Module of preprocessing functions."""
import warnings
# pylint: disable=invalid-name,unused-argument
from collections import Counter
from typing import List, Tuple, Union
import numpy as np
import pandas as pd
with warnings.catch_warnings():
warnings.simplefilter(action='ignore', category=FutureWarning)
fr... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/distribution/preprocessing.py | 0.93318 | 0.416737 | preprocessing.py | pypi |
"""A module containing utils for plotting distributions."""
import typing as t
from functools import cmp_to_key
from numbers import Number
import numpy as np
import pandas as pd
import plotly.graph_objs as go
from scipy.stats import gaussian_kde
from typing_extensions import Literal as L
__all__ = ['feature_distribut... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/distribution/plot.py | 0.961262 | 0.545709 | plot.py | pypi |
"""Common utilities for distribution checks."""
from numbers import Number
from typing import Callable, Dict, Hashable, Optional, Tuple, Union
import numpy as np
import pandas as pd
from plotly.subplots import make_subplots
from scipy.stats import chi2_contingency, wasserstein_distance
from runml_checks import Condit... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/distribution/drift.py | 0.962027 | 0.452778 | drift.py | pypi |
# pylint: disable=invalid-name
from typing import Tuple
import numpy as np
from sklearn.neighbors import KDTree, KNeighborsClassifier
from runml_checks.utils.logger import get_logger
__all__ = ['TrustScore']
class TrustScore:
"""Calculate trust score.
Parameters
----------
k_filter : int , default... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/distribution/trust_score.py | 0.933907 | 0.508727 | trust_score.py | pypi |
"""Module of RareCategoryEncoder."""
from collections import defaultdict
from typing import List, Optional
import pandas as pd
from runml_checks.utils.typing import Hashable
__all__ = ['RareCategoryEncoder']
class RareCategoryEncoder:
"""Encodes rare categories into an "other" parameter.
Note that this en... | /runml_checks-1.0.0-py3-none-any.whl/runml_checks/utils/distribution/rare_category_encoder.py | 0.957238 | 0.560914 | rare_category_encoder.py | pypi |
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