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"""All models for the extension."""
from django.conf import settings
from django.dispatch import receiver
from django.db import models
from model_utils.models import StatusModel, TimeStampedModel
from geokey.projects.models import Project
from .base import STATUS, FORMAT
from .managers import WebResourceManager
c... | {
"repo_name": "ExCiteS/geokey-webresources",
"path": "geokey_webresources/models.py",
"copies": "1",
"size": "1612",
"license": "mit",
"hash": 1488738725783795200,
"line_mean": 27.2807017544,
"line_max": 76,
"alpha_frac": 0.6892059553,
"autogenerated": false,
"ratio": 4.133333333333334,
"config... |
"""All models for the extension."""
import sys
import json
import csv
from osgeo import ogr
from django.conf import settings
from django.dispatch import receiver
from django.db import models
from django.template.defaultfilters import slugify
from django.contrib.postgres.fields import ArrayField
from django.contrib.g... | {
"repo_name": "ExCiteS/geokey-dataimports",
"path": "geokey_dataimports/models.py",
"copies": "1",
"size": "11423",
"license": "mit",
"hash": -5647674630128379000,
"line_mean": 33.406626506,
"line_max": 80,
"alpha_frac": 0.5383874639,
"autogenerated": false,
"ratio": 4.919465977605513,
"config_... |
"""All models for the queue.
Important: Changes here need to be followed by `make refresh`.
"""
from sqlalchemy import asc
from sqlalchemy import desc
from flask import current_app
from werkzeug.local import LocalProxy
from flask_debugtoolbar import DebugToolbarExtension
from flask_sqlalchemy import SQLAlchemy
from s... | {
"repo_name": "alvinwan/quupod",
"path": "quupod/models.py",
"copies": "2",
"size": "28166",
"license": "apache-2.0",
"hash": 2107427806458085400,
"line_mean": 32.4910820452,
"line_max": 79,
"alpha_frac": 0.578392388,
"autogenerated": false,
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"config_test": false,
"... |
"""All models for the WeGovNow extension."""
import os
from django.db.models.signals import pre_save, post_save
from django.dispatch import receiver
from geokey.core.models import get_class_name, cross_check_fields
from geokey_wegovnow.base import LOG_MODELS, WATCHED_FIELDS
from geokey_wegovnow.logger import make_e... | {
"repo_name": "ExCiteS/geokey-wegovnow",
"path": "geokey_wegovnow/models.py",
"copies": "1",
"size": "2468",
"license": "mit",
"hash": -4216709030191537000,
"line_mean": 35.2941176471,
"line_max": 80,
"alpha_frac": 0.5490275527,
"autogenerated": false,
"ratio": 4.647834274952919,
"config_test":... |
""" all models shared in tests
class names should be unique across whole project
"""
from mongoengine import (
Document, DynamicDocument, DynamicEmbeddedDocument, EmbeddedDocument,
fields
)
class DumbDocument(Document):
name = fields.StringField()
foo = fields.IntField()
class IntIdDocument(Document... | {
"repo_name": "umutbozkurt/django-rest-framework-mongoengine",
"path": "tests/models.py",
"copies": "2",
"size": "1374",
"license": "mit",
"hash": -7786634229698272000,
"line_mean": 23.5357142857,
"line_max": 73,
"alpha_frac": 0.711790393,
"autogenerated": false,
"ratio": 3.9710982658959537,
"c... |
__all__ = ('ModManager')
import os
import json
from pocketthrone.managers.filemanager import FileManager
from pocketthrone.managers.unitmanager import UnitManager
from pocketthrone.managers.eventmanager import EventManager
from pocketthrone.entities.event import *
from pocketthrone.managers.pipe import L
from pocket... | {
"repo_name": "herrschr/pocket-throne",
"path": "pocketthrone/managers/modmanager.py",
"copies": "2",
"size": "3388",
"license": "bsd-2-clause",
"hash": -7578796371876426000,
"line_mean": 29.25,
"line_max": 93,
"alpha_frac": 0.7042502952,
"autogenerated": false,
"ratio": 3.1168353265869366,
"co... |
__all__ = "Mod"
from pocketthrone.managers.filemanager import FileManager
class Mod:
# engine identifiers
_id = -1
_tag = "[Mod] "
basename = None
# entity strings
name = None
desc = ""
desc_de = ""
author = ""
# entity flags
is_initialized = False
is_disabled = False
is_empty = False
def __init__(se... | {
"repo_name": "herrschr/prey-game",
"path": "pocketthrone/entities/mod.py",
"copies": "2",
"size": "2138",
"license": "bsd-2-clause",
"hash": 1407042309772149500,
"line_mean": 23.0224719101,
"line_max": 112,
"alpha_frac": 0.6697848457,
"autogenerated": false,
"ratio": 3.2344931921331317,
"confi... |
__all__ = ["Mofa"]
import numpy as np
import matplotlib.pyplot as pl
from scipy.cluster.vq import kmeans
from scipy.linalg import inv
from matplotlib.patches import Ellipse
from . import _algorithms
class Mofa(object):
"""
Mixture of Factor Analyzers
calling arguments:
[ROSS DOCUMENT HERE]
in... | {
"repo_name": "rossfadely/mofa",
"path": "mofa/mofa.py",
"copies": "1",
"size": "11258",
"license": "mit",
"hash": 8948368724834086000,
"line_mean": 30.3593314763,
"line_max": 81,
"alpha_frac": 0.5037306804,
"autogenerated": false,
"ratio": 3.406354009077156,
"config_test": false,
"has_no_key... |
__all__ = ['MongoBackend', 'CachedMongoBackend']
import string
from copy import copy
from ..utils import randutils
from ..utils.cacheutils import memoize_with_expiry
from base import BaseBackend
class MongoBackend(BaseBackend):
'''
Implements a collection using a mongo database backend.
'''
idFiel... | {
"repo_name": "colevscode/quickdata",
"path": "quickdata/backends/mongo.py",
"copies": "1",
"size": "3198",
"license": "mit",
"hash": 3956779924346384000,
"line_mean": 26.5689655172,
"line_max": 78,
"alpha_frac": 0.5769230769,
"autogenerated": false,
"ratio": 3.99250936329588,
"config_test": fa... |
__all__ = ['Monitor', 'get_monitor_files', 'load_results']
from gym.core import Wrapper
import time
from glob import glob
import csv
import os.path as osp
import json
class Monitor(Wrapper):
EXT = "monitor.csv"
f = None
def __init__(self, env, filename, allow_early_resets=False, reset_keywords=(), info_k... | {
"repo_name": "openai/baselines",
"path": "baselines/bench/monitor.py",
"copies": "1",
"size": "5741",
"license": "mit",
"hash": 1770098491501087000,
"line_mean": 34.2208588957,
"line_max": 174,
"alpha_frac": 0.5688904372,
"autogenerated": false,
"ratio": 3.87643484132343,
"config_test": false,... |
__all__ = ['Monitor', 'get_monitor_files', 'load_results']
import csv
import json
import os
import time
from glob import glob
from typing import Tuple, Dict, Any, List, Optional
import gym
import pandas
import numpy as np
class Monitor(gym.Wrapper):
"""
A monitor wrapper for Gym environments, it is used to ... | {
"repo_name": "hill-a/stable-baselines",
"path": "stable_baselines/bench/monitor.py",
"copies": "1",
"size": "7798",
"license": "mit",
"hash": 6931061600118927000,
"line_mean": 36.4903846154,
"line_max": 120,
"alpha_frac": 0.5846370864,
"autogenerated": false,
"ratio": 4.067814293166406,
"confi... |
__all__ = ['Monitor', 'get_monitor_files', 'load_results']
import gym
from gym.core import Wrapper
from os import path
import time
from glob import glob
try:
import ujson as json # Not necessary for monitor writing, but very useful for monitor loading
except ImportError:
import json
class Monitor(Wrapper):
... | {
"repo_name": "learnercys/baselines",
"path": "baselines/bench/monitor.py",
"copies": "3",
"size": "5053",
"license": "mit",
"hash": 9182285160155120000,
"line_mean": 33.6095890411,
"line_max": 174,
"alpha_frac": 0.5711458539,
"autogenerated": false,
"ratio": 3.7374260355029585,
"config_test": ... |
__all__ = ['Monitor', 'get_monitor_files', 'load_results']
import gym
from gym.core import Wrapper
import time
from glob import glob
import csv
import os.path as osp
import json
class Monitor(Wrapper):
EXT = "monitor.csv"
f = None
def __init__(self, env, filename, allow_early_resets=False, reset_keywords... | {
"repo_name": "brain-research/mirage-rl-bpttv",
"path": "baselines/bench/monitor.py",
"copies": "1",
"size": "4553",
"license": "mit",
"hash": 4052522776231246000,
"line_mean": 36.0243902439,
"line_max": 174,
"alpha_frac": 0.5695146058,
"autogenerated": false,
"ratio": 3.845439189189189,
"confi... |
__all__ = ['montage2d']
import numpy as np
from .. import exposure
EPSILON = 1e-6
def montage2d(arr_in, fill='mean', rescale_intensity=False, grid_shape=None):
"""Create a 2-dimensional 'montage' from a 3-dimensional input array
representing an ensemble of equally shaped 2-dimensional images.
For examp... | {
"repo_name": "SamHames/scikit-image",
"path": "skimage/util/montage.py",
"copies": "3",
"size": "3204",
"license": "bsd-3-clause",
"hash": 1939502593469311700,
"line_mean": 28.1272727273,
"line_max": 77,
"alpha_frac": 0.534019975,
"autogenerated": false,
"ratio": 3.204,
"config_test": false,
... |
__all__ = ['montage2d']
import numpy as np
from .. import exposure
EPSILON = 1e-6
def montage2d(arr_in, fill='mean', rescale_intensity=False):
"""Create a 2-dimensional 'montage' from a 3-dimensional input array
representing an ensemble of equally shaped 2-dimensional images.
For example, montage2d(arr... | {
"repo_name": "emmanuelle/scikits.image",
"path": "skimage/util/montage.py",
"copies": "2",
"size": "2613",
"license": "bsd-3-clause",
"hash": -8174177404243759000,
"line_mean": 26.21875,
"line_max": 76,
"alpha_frac": 0.5545350172,
"autogenerated": false,
"ratio": 3.270337922403004,
"config_tes... |
__all__ = ["MonthBoxOffice"]
import tushare as ts
from flask import request,json
from flask_restful import Resource
def get_month_boxoffice(month=None):
if month == None:
result = ts.month_boxoffice().to_json()
else:
try:
result = ts.month_boxoffice(month).to_json()
except ... | {
"repo_name": "FinaceInfo/Chinese-box-office-info",
"path": "api/boxoffice/month_boxoffice.py",
"copies": "1",
"size": "1040",
"license": "mit",
"hash": -7809324577735618000,
"line_mean": 22.2972972973,
"line_max": 103,
"alpha_frac": 0.6357308585,
"autogenerated": false,
"ratio": 2.45584045584045... |
__all__ = ["MouseEvent", \
"TouchEvent", \
"KeyEvent", \
"kPressedMouseEventType", \
"kReleasedMouseEventType", \
"kMovedMouseEventType", \
"kLeftMouseButton", \
"kMiddleMouseButton", \
"kRightMouseButton", \
"kNoneMouseB... | {
"repo_name": "PeterWangIntel/crosswalk-webdriver-python",
"path": "browser/ui_events.py",
"copies": "1",
"size": "2339",
"license": "bsd-3-clause",
"hash": 6284396824353492000,
"line_mean": 27.1807228916,
"line_max": 90,
"alpha_frac": 0.6524155622,
"autogenerated": false,
"ratio": 3.485842026825... |
__all__ = ['MPI_allocator']
import os
import commands
import logging
from openmdao.main.mp_support import OpenMDAO_Manager, register
from openmdao.main.resource import FactoryAllocator, \
HOME_DIRECTORY, WORKING_DIRECTORY
from openmdao.main.objserverfactory import ObjServer
from ope... | {
"repo_name": "fzahle/MPI_allocator",
"path": "src/mpiallocator/mpiallocator.py",
"copies": "1",
"size": "9866",
"license": "apache-2.0",
"hash": 4613777893670449000,
"line_mean": 30.2215189873,
"line_max": 89,
"alpha_frac": 0.5450030407,
"autogenerated": false,
"ratio": 4.3196147110332745,
"co... |
__all__ = ['MultiLabelsFeatureSelector']
from .labels import MultiLabelsClassifier
from ..utils import get_class_from_module_path
import numpy as np
class MultiLabelsFeatureSelector(MultiLabelsClassifier):
def __init__(self, score_func=None, **kwargs):
super(MultiLabelsClassifier, self).__init__(**kwarg... | {
"repo_name": "skylander86/ycml",
"path": "ycml/classifiers/feature_selector.py",
"copies": "1",
"size": "1124",
"license": "apache-2.0",
"hash": -9061495526740382000,
"line_mean": 29.3783783784,
"line_max": 87,
"alpha_frac": 0.6387900356,
"autogenerated": false,
"ratio": 3.2769679300291545,
"c... |
__all__ = ['mvee']
import math
import numpy as np
try:
from scipy.spatial import ConvexHull
except ImportError:
def _getConvexHull(points):
return points
else:
def _getConvexHull(points):
hull = ConvexHull(points)
return points[np.unique(hull.simplices)]
def mvee(points, tol=1.e-4, ... | {
"repo_name": "manodeep/yymao-helpers",
"path": "helpers/mvee.py",
"copies": "1",
"size": "2395",
"license": "mit",
"hash": 1497706374908923400,
"line_mean": 31.8082191781,
"line_max": 126,
"alpha_frac": 0.5949895616,
"autogenerated": false,
"ratio": 3.1806108897742362,
"config_test": false,
... |
__all__ = ["n3_bias_field_correction", "n3_bias_field_correction2", "n4_bias_field_correction", "abp_n4"]
from . import process_args as pargs
from .get_mask import get_mask
from .iMath import iMath
from ..core import ants_image as iio
from .. import utils
def n3_bias_field_correction(image, downsample_factor=3):
... | {
"repo_name": "ANTsX/ANTsPy",
"path": "ants/utils/bias_correction.py",
"copies": "1",
"size": "8509",
"license": "apache-2.0",
"hash": -2783060727474430500,
"line_mean": 27.6498316498,
"line_max": 203,
"alpha_frac": 0.6198143143,
"autogenerated": false,
"ratio": 3.567714884696017,
"config_test"... |
__all__ = [
'AbortHandshake', 'ConnectionClosed', 'DuplicateParameter',
'InvalidHandshake', 'InvalidHeader', 'InvalidHeaderFormat',
'InvalidHeaderValue', 'InvalidMessage', 'InvalidOrigin',
'InvalidParameterName', 'InvalidParameterValue', 'InvalidState',
'InvalidStatusCode', 'InvalidUpgrade', 'Invali... | {
"repo_name": "gnmiller/craig-bot",
"path": "craig-bot/lib/python3.6/site-packages/websockets/exceptions.py",
"copies": "1",
"size": "5325",
"license": "mit",
"hash": 6457262638596644000,
"line_mean": 24.7246376812,
"line_max": 79,
"alpha_frac": 0.6264788732,
"autogenerated": false,
"ratio": 4.43... |
__all__ = [
'AddCellConnToPoints',
'PointsToTube',
'LonLatToUTM',
'RotatePoints',
'ExtractPoints',
'RotationTool',
'ExtractCellCenters',
'AppendCellCenters',
'IterateOverPoints',
'ConvertUnits',
'BuildSurfaceFromPoints',
]
__displayname__ = 'Point/Line Sets'
from datetime i... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/filters/xyz.py",
"copies": "1",
"size": "36851",
"license": "bsd-3-clause",
"hash": -6156719771944934000,
"line_mean": 34.7083333333,
"line_max": 101,
"alpha_frac": 0.5500529158,
"autogenerated": false,
"ratio": 3.76414708886619,
"... |
__all__ = [
'add_if_not_exists_clause',
'exactly_one',
'executing',
'one_or_none',
'scalar',
]
import contextlib
import sqlalchemy.engine
from sqlalchemy.schema import CreateIndex
from g1.bases.assertions import ASSERT
def add_if_not_exists_clause(index, connectable):
"""Add "IF NOT EXISTS"... | {
"repo_name": "clchiou/garage",
"path": "py/g1/databases/g1/databases/utils.py",
"copies": "1",
"size": "1638",
"license": "mit",
"hash": 5760225149889764000,
"line_mean": 26.7627118644,
"line_max": 72,
"alpha_frac": 0.6746031746,
"autogenerated": false,
"ratio": 3.9375,
"config_test": false,
... |
__all__ = [
"AdsClient",
"AdsConnection",
"AdsDatatype",
"AdsDevice",
"AdsException",
"AdsState",
"amspacket",
"AmsPacket",
"BinaryParser",
"SymbolInfo",
"HexBlock",
"AdsIO",
"ProcImage"
]
from pyads.symbolinfo import *
from pyads.adsdatatype import *
from pyads.adse... | {
"repo_name": "chwiede/pyads",
"path": "pyads/__init__.py",
"copies": "1",
"size": "1278",
"license": "mit",
"hash": 6288976157838024000,
"line_mean": 23.5961538462,
"line_max": 73,
"alpha_frac": 0.607198748,
"autogenerated": false,
"ratio": 3.435483870967742,
"config_test": false,
"has_no_ke... |
__all__ = [
'Agent',
'Connector',
]
import re
import sys
import errno
import base64
import socket
import urlparse
try:
import ssl
except ImportError:
# if import _ssl in sll fails, then subsequent
# import ssl statements would succeed
# workaround that, so other modules have
# a chance to d... | {
"repo_name": "snaury/kitsu.http",
"path": "kitsu/http/client.py",
"copies": "1",
"size": "16465",
"license": "mit",
"hash": -9048164586709878000,
"line_mean": 35.1074561404,
"line_max": 158,
"alpha_frac": 0.5551776496,
"autogenerated": false,
"ratio": 4.365058324496289,
"config_test": false,
... |
__all__ = ['nagios', 'json']
from check_delivery.timer import Timer
class Output(object):
def __init__(self, *args, **kwargs):
super(Output, self).__init__(*args, **kwargs)
self._status = None
self._message = None
self._details = None
self._step = None
self._expe... | {
"repo_name": "Leryan/check_delivery",
"path": "check_delivery/output/__init__.py",
"copies": "1",
"size": "1523",
"license": "mit",
"hash": -71533911434968330,
"line_mean": 19.0526315789,
"line_max": 70,
"alpha_frac": 0.5528562049,
"autogenerated": false,
"ratio": 4.27808988764045,
"config_tes... |
__all__ = [
'AlertApi',
]
class AlertApi(object):
""" DEPRECATED: Used the methods in `MonitorApi` instead. """
def alert(self, query, name=None, message=None, silenced=False,
notify_no_data=None, timeout_h=None):
"""
Create a new metric alert for the given *query*. If *name* i... | {
"repo_name": "DataDog/dogapi",
"path": "src/dogapi/http/alerts.py",
"copies": "1",
"size": "3555",
"license": "bsd-3-clause",
"hash": 3993802941278999600,
"line_mean": 30.7410714286,
"line_max": 103,
"alpha_frac": 0.558931083,
"autogenerated": false,
"ratio": 3.868335146898803,
"config_test": ... |
__all__ = [
'AlertApi',
]
class AlertApi(object):
def alert(self, query, name=None, message=None, silenced=False,
notify_no_data=None, timeout_h=None):
"""
Create a new metric alert for the given *query*. If *name* is unset,
the alert will be given a name based on the query... | {
"repo_name": "edx/dogapi",
"path": "src/dogapi/http/alerts.py",
"copies": "1",
"size": "3391",
"license": "bsd-3-clause",
"hash": 7665095326831591000,
"line_mean": 30.1100917431,
"line_max": 103,
"alpha_frac": 0.5552934238,
"autogenerated": false,
"ratio": 3.884306987399771,
"config_test": fal... |
__all__ = [
'alerts',
]
from collections import namedtuple
from pathlib import Path
import contextlib
import datetime
import enum
import fcntl
import json
import logging
import os
import re
import selectors
import subprocess
import sys
import urllib.error
import urllib.request
from garage import apps
from garage ... | {
"repo_name": "clchiou/garage",
"path": "py/ops/ops/onboard/alerts.py",
"copies": "1",
"size": "12867",
"license": "mit",
"hash": -1643927742996718800,
"line_mean": 28.1108597285,
"line_max": 76,
"alpha_frac": 0.5539752856,
"autogenerated": false,
"ratio": 4.03480714957667,
"config_test": true,... |
__all__ = [
'AlgorithmBase',
'ReaderBaseBase',
'ReaderBase',
'FilterBase',
'FilterPreserveTypeBase',
'TwoFileReaderBase',
'WriterBase',
'InterfacedBaseReader',
]
__displayname__ = 'Base Classes'
import warnings
# Outside Imports:
import vtk # NOTE: This is the first import executed ... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/base.py",
"copies": "1",
"size": "25248",
"license": "bsd-3-clause",
"hash": -1424093899177424100,
"line_mean": 34.7620396601,
"line_max": 118,
"alpha_frac": 0.5944233207,
"autogenerated": false,
"ratio": 4.304859335038363,
"config... |
__all__ = [
'Aligner',
'PrefixComparer',
'SuffixComparer',
'hamming_sphere',
'hamming_environment',
'edit_environment',
'edit_distance',
]
from typing import Iterator, Tuple
from cutadapt._align import Aligner, PrefixComparer, SuffixComparer
# flags for global alignment
# The interpretat... | {
"repo_name": "marcelm/cutadapt",
"path": "src/cutadapt/align.py",
"copies": "1",
"size": "6234",
"license": "mit",
"hash": 7054827613049480000,
"line_mean": 30.4747474747,
"line_max": 88,
"alpha_frac": 0.542843389,
"autogenerated": false,
"ratio": 3.594002306805075,
"config_test": false,
"ha... |
__all__ = (
'allow_tags',
'humanized',
'filter_class',
'filter_by',
'order_by',
'sorter_class',
)
def allow_tags(func):
"""Allows HTML tags to be returned from resource without escaping"""
if isinstance(func, property):
func = func.fget
func.allow_tags = True
return fun... | {
"repo_name": "druids/django-pyston",
"path": "pyston/utils/decorators.py",
"copies": "1",
"size": "1840",
"license": "bsd-3-clause",
"hash": -701576403707325700,
"line_mean": 25.2857142857,
"line_max": 76,
"alpha_frac": 0.6092391304,
"autogenerated": false,
"ratio": 4.088888888888889,
"config_... |
__all__ = ['NameVerDetectionError', 'Artifact', 'LocalArtifact', 'LocalRpmArtifact', 'RemoteArtifact']
import six.moves.urllib.parse
import itertools
import re
import os
import logging
logger = logging.getLogger(__name__)
class ArtifactError(Exception):
pass
class NameVerDetectionError(ArtifactError):
pass... | {
"repo_name": "packagemgmt/repositorytools",
"path": "repositorytools/lib/artifact.py",
"copies": "2",
"size": "4777",
"license": "apache-2.0",
"hash": -1681071178715789800,
"line_mean": 34.1323529412,
"line_max": 120,
"alpha_frac": 0.5897006489,
"autogenerated": false,
"ratio": 4.338782924613987... |
__all__ = [
'AnimateTBM',
]
import vtk
from ..base import AlgorithmBase
class AnimateTBM(AlgorithmBase):
"""This filter analyzes a vtkTable containing position information about a Tunnel Boring Machine (TBM). This Filter iterates over each row of the table as a timestep and uses the XYZ coordinates of the t... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/tunneling/animate.py",
"copies": "1",
"size": "3253",
"license": "bsd-3-clause",
"hash": -5531578759989260000,
"line_mean": 36.8255813953,
"line_max": 285,
"alpha_frac": 0.5976022133,
"autogenerated": false,
"ratio": 3.68820861678004... |
__all__ = (
'Annotation',
'InputAnnotation',
'Vars',
#'WrapsMixin',
#'InputWraps',
'InputFlush',
'Test',
'Inhibitor',
'OutputAnnotation',
'Expr',
#'OutputWraps',
'OutputFlush',
'Flush',
)
import abc
import collections
import itertools
from .black_token import BlackT... | {
"repo_name": "simone-campagna/petra",
"path": "petra/annotation.py",
"copies": "1",
"size": "8637",
"license": "apache-2.0",
"hash": 7436855474642049000,
"line_mean": 30.4072727273,
"line_max": 147,
"alpha_frac": 0.6274169272,
"autogenerated": false,
"ratio": 4.433778234086242,
"config_test": ... |
__all__ = [
'Anomaly',
'Bandit',
'Burst',
'Classifier',
'Clustering',
'NearestNeighbor',
'Recommender',
'Regression',
'Stat',
'Graph',
'Weight',
]
class _EmbeddedUnavailable(object):
def __init__(self, *args, **kwargs):
raise RuntimeError('Embedded Jubatus Python... | {
"repo_name": "jubatus/jubatus-python-client",
"path": "jubatus/embedded.py",
"copies": "1",
"size": "1234",
"license": "mit",
"hash": 118139915532590820,
"line_mean": 28.380952381,
"line_max": 78,
"alpha_frac": 0.7155591572,
"autogenerated": false,
"ratio": 4.269896193771626,
"config_test": fa... |
__all__ = [
'Application',
'HttpError',
'Request',
'Response',
'ResponseClosed',
]
import collections.abc
import dataclasses
import enum
import logging
import typing
import urllib.parse
from g1.asyncs.bases import locks
from g1.asyncs.bases import queues
from g1.asyncs.bases import servers
from g1... | {
"repo_name": "clchiou/garage",
"path": "py/g1/webs/g1/webs/wsgi_apps.py",
"copies": "1",
"size": "14211",
"license": "mit",
"hash": -5161332765299994000,
"line_mean": 29.6271551724,
"line_max": 76,
"alpha_frac": 0.6064316375,
"autogenerated": false,
"ratio": 4.113169319826339,
"config_test": f... |
__all__ = [
'ArchiveTypes',
'Compressors',
'assert_command_exist',
'check_command_exist',
'export_path',
'get_url_path',
'guess_archive_type',
'guess_compressor',
'remove_archive_suffix',
]
import enum
import logging
import os
import shutil
import urllib.parse
from pathlib import Pa... | {
"repo_name": "clchiou/garage",
"path": "py/g1/scripts/g1/scripts/utils.py",
"copies": "1",
"size": "2637",
"license": "mit",
"hash": 2980067654430274600,
"line_mean": 24.3557692308,
"line_max": 79,
"alpha_frac": 0.6533940083,
"autogenerated": false,
"ratio": 3.3464467005076144,
"config_test": ... |
__all__ = [
'arguments',
'example',
'keyword',
'seealso',
'table',
'underline'
]
class Parser:
def __init__(self, pctxt):
self.pctxt = pctxt
def parse(self, line):
return line
class PContext:
def __init__(self, templates = None):
self.set_content_list([])
... | {
"repo_name": "cbonte/haproxy-dconv",
"path": "parser/__init__.py",
"copies": "1",
"size": "1941",
"license": "apache-2.0",
"hash": -5776088203086298000,
"line_mean": 22.962962963,
"line_max": 71,
"alpha_frac": 0.561566203,
"autogenerated": false,
"ratio": 3.828402366863905,
"config_test": fals... |
__all__ = [
'ArrayMath',
'NormalizeArray',
'PercentThreshold',
'ArraysToRGBA',
]
__displayname__ = 'Math Operations'
import numpy as np
import vtk
from vtk.numpy_interface import dataset_adapter as dsa
import pyvista as pv
from .. import _helpers, interface
from ..base import FilterBase, FilterPrese... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/filters/math.py",
"copies": "1",
"size": "27308",
"license": "bsd-3-clause",
"hash": 2288933896356771800,
"line_mean": 34.1907216495,
"line_max": 84,
"alpha_frac": 0.5700527318,
"autogenerated": false,
"ratio": 3.9485251590514747,
... |
__all__ = [
'Array',
'Context',
'GlobalContext',
'HandleScope',
'Isolate',
'JavaScriptError',
'Object',
'Script',
'UNDEFINED',
'UndefinedType',
'Value',
'from_python',
'to_python',
'run',
'shutdown',
]
import atexit
import collections.abc
import logging
# Di... | {
"repo_name": "clchiou/garage",
"path": "py/g1/third-party/v8/v8/__init__.py",
"copies": "1",
"size": "2800",
"license": "mit",
"hash": -1627891428961286100,
"line_mean": 24.4545454545,
"line_max": 70,
"alpha_frac": 0.6475,
"autogenerated": false,
"ratio": 3.830369357045144,
"config_test": fals... |
__all__ = [
'ASSERT',
'Assertions',
]
class Assertions:
def __init__(self, exc_type):
self._exc_type = exc_type
def __call__(self, cond, message, *args):
if not cond:
raise self._exc_type(message % args)
return cond
def fail(self, message, *args):
rai... | {
"repo_name": "clchiou/garage",
"path": "py/garage/garage/assertions.py",
"copies": "1",
"size": "2548",
"license": "mit",
"hash": 8132271697843178000,
"line_mean": 27,
"line_max": 79,
"alpha_frac": 0.5784929356,
"autogenerated": false,
"ratio": 3.92,
"config_test": false,
"has_no_keywords": ... |
__all__ = [
'AtomicInt',
'AtomicSet',
'Priority',
'generate_names',
'make_get_thread_local',
'set_pthread_name',
]
import collections.abc
import functools
import logging
import threading
from garage.assertions import ASSERT
LOG = logging.getLogger(__name__)
class AtomicInt:
def __init... | {
"repo_name": "clchiou/garage",
"path": "py/garage/garage/threads/utils.py",
"copies": "1",
"size": "4652",
"license": "mit",
"hash": 2057758160163037200,
"line_mean": 27.1939393939,
"line_max": 74,
"alpha_frac": 0.5902837489,
"autogenerated": false,
"ratio": 3.8669991687448046,
"config_test": ... |
__all__ = [
'__author__', '__author_email__', '__classifiers__', '__desc__', '__license__',
'__package_name__', '__scripts__', '__team__', '__url__', '__version__',
]
__author__ = 'Luke Powers'
__author_email__ = 'luke.powers@openx.com'
__classifiers__ = ['Development Status :: 4 - Beta',
'E... | {
"repo_name": "luke-powers/triconf",
"path": "src/triconf/__about__.py",
"copies": "1",
"size": "1153",
"license": "bsd-3-clause",
"hash": -3862259556438485000,
"line_mean": 40.1785714286,
"line_max": 107,
"alpha_frac": 0.5394622723,
"autogenerated": false,
"ratio": 3.7679738562091503,
"config_... |
__all__ = [
'__author__', '__classifiers__', '__desc__', '__license__',
'__package_name__', '__scripts__', '__url__', '__version__',
]
__author__ = 'Luke Powers'
__author_email__ = 'luke-powers@users.noreply.github.com'
# For more classifiers, see http://goo.gl/zZQaZ
__classifiers__ = [
'Development Status... | {
"repo_name": "luke-powers/NSCollector",
"path": "src/nscollector/__about__.py",
"copies": "1",
"size": "1147",
"license": "apache-2.0",
"hash": 2738054058965365000,
"line_mean": 29.1842105263,
"line_max": 86,
"alpha_frac": 0.5693112467,
"autogenerated": false,
"ratio": 3.383480825958702,
"conf... |
__all__ = [
'AutoInitAndCloseable',
'Disposable',
'NoReentrantContext',
'DisposableContext',
]
class AutoInitAndCloseable(object):
"""
Classes with :meth:`init()` to initialize its internal states, and also
:meth:`close()` to destroy these states. The :meth:`init()` method can
be repe... | {
"repo_name": "korepwx/tfsnippet",
"path": "tfsnippet/utils/concepts.py",
"copies": "1",
"size": "3955",
"license": "mit",
"hash": 5872066902974685000,
"line_mean": 28.0808823529,
"line_max": 79,
"alpha_frac": 0.5716814159,
"autogenerated": false,
"ratio": 4.479048697621744,
"config_test": fals... |
__all__ = ["NavigationTracker"]
from status import *
from devtools_event_listener import DevToolsEventListener
# Tracks the navigation state of the page.
class NavigationTracker(DevToolsEventListener):
kUnknown = 0
kLoading = 1
kNotLoading = 2
def __init__(self, client, known_state=0):
self.client = cli... | {
"repo_name": "PeterWangIntel/crosswalk-webdriver-python",
"path": "browser/navigation_tracker.py",
"copies": "1",
"size": "6720",
"license": "bsd-3-clause",
"hash": 7160231154555095000,
"line_mean": 45.993006993,
"line_max": 86,
"alpha_frac": 0.6808035714,
"autogenerated": false,
"ratio": 4.0653... |
__all__ = [
'BadRequestException',
'BadStateException',
'CsrfException',
'DropboxOAuth2Flow',
'DropboxOAuth2FlowNoRedirect',
'NotApprovedException',
'ProviderException',
]
import base64
import os
import six
import sys
import urllib
from .dropbox import Dropbox
from .session import pinned_s... | {
"repo_name": "ewjoachim/dropbox-sdk-python",
"path": "dropbox/oauth.py",
"copies": "1",
"size": "16593",
"license": "mit",
"hash": 6121741112827093000,
"line_mean": 36.2040358744,
"line_max": 88,
"alpha_frac": 0.6071837522,
"autogenerated": false,
"ratio": 4.304280155642023,
"config_test": fal... |
__all__ = [
'ballsave',
'ballsearch',
'drops'
'replay',
'scoredisplay',
'scoredisplayhd'
'service',
'trough',
'OSC',
'dmdhelper',
'attract',
'tilt',
'switchmonitor',
'rgbshow'
]
from ballsave import *
from ballsearch import *
from drops import *
from replay import... | {
"repo_name": "mjocean/PyProcGameHD-SkeletonGame",
"path": "procgame/modes/__init__.py",
"copies": "1",
"size": "2381",
"license": "mit",
"hash": 2914828939698002000,
"line_mean": 29.9220779221,
"line_max": 105,
"alpha_frac": 0.6442671147,
"autogenerated": false,
"ratio": 3.827974276527331,
"co... |
__all__ = [
'BaseDatadog',
]
import os
import logging
import re
import socket
import time
from contextlib import contextmanager
from pprint import pformat
try:
import simplejson as json
except ImportError:
import json
http_log = logging.getLogger('dd.dogapi.http')
log = logging.getLogger('dd.dogapi')
fr... | {
"repo_name": "DataDog/dogapi",
"path": "src/dogapi/http/base.py",
"copies": "2",
"size": "8358",
"license": "bsd-3-clause",
"hash": 2502027126064669000,
"line_mean": 36.3125,
"line_max": 202,
"alpha_frac": 0.5516870065,
"autogenerated": false,
"ratio": 4.35539343408025,
"config_test": false,
... |
__all__ = (
'BaseForm',
'Form',
)
class BaseForm(object):
"""
Base Form Class. Provides core behaviour like field construction,
validation, and data and error proxying.
"""
def __init__(self, fields, prefix=''):
"""
:param fields:
A dict or sequence of 2-tuples... | {
"repo_name": "BarcampBangalore/Barcamp-Bangalore-Android-App",
"path": "gcm_flask/wtforms/form.py",
"copies": "15",
"size": "10228",
"license": "apache-2.0",
"hash": -6870739214644900000,
"line_mean": 34.2689655172,
"line_max": 113,
"alpha_frac": 0.5913179507,
"autogenerated": false,
"ratio": 4.... |
__all__ = [
'BASE_IMAGE_RELEASE_CODE_NAME',
# Pod.
'PodConfig',
'generate_machine_name',
'generate_pod_id',
'validate_pod_id',
'validate_pod_name',
'validate_pod_version',
# XAR.
'validate_xar_name',
# App.
'validate_app_name',
# Image.
'validate_image_id',
'v... | {
"repo_name": "clchiou/garage",
"path": "py/g1/containers/g1/containers/models.py",
"copies": "1",
"size": "5857",
"license": "mit",
"hash": -5538121317481386000,
"line_mean": 25.1473214286,
"line_max": 75,
"alpha_frac": 0.6003073246,
"autogenerated": false,
"ratio": 3.3430365296803655,
"config... |
__all__ = (
'BasePlace',
'Place',
)
from .node import BasePlace
from .token_list import TokenList
class Place(BasePlace):
def __init__(self, name, *, net=None, tokens=None, token_type=None):
super().__init__(name=name, net=net)
self._tokens = None
self.update(tokens=tokens, token_t... | {
"repo_name": "simone-campagna/petra",
"path": "petra/place.py",
"copies": "1",
"size": "1186",
"license": "apache-2.0",
"hash": -3807733241480469000,
"line_mean": 27.9268292683,
"line_max": 105,
"alpha_frac": 0.5809443508,
"autogenerated": false,
"ratio": 3.694704049844237,
"config_test": fals... |
__all__ = [
'BaseSession',
'Request',
'Response',
'Sender',
]
import functools
import itertools
import json
import logging
import urllib.parse
import lxml.etree
import requests
import requests.adapters
import requests.cookies
import urllib3.exceptions
import urllib3.util.ssl_
from g1.asyncs.bases imp... | {
"repo_name": "clchiou/garage",
"path": "py/g1/http/clients/g1/http/clients/bases.py",
"copies": "1",
"size": "16547",
"license": "mit",
"hash": 6069847564674486000,
"line_mean": 32.5638945233,
"line_max": 77,
"alpha_frac": 0.5799238533,
"autogenerated": false,
"ratio": 4.398458266879319,
"conf... |
__all__ = (
'BaseTransition',
'Transition',
)
import collections
import itertools
from .errors import AnnotationError
from .expression import make_expression
from .iterable import Iterable
from .node import BaseTransition
from .token_list import TokenList
class Substitution(collections.OrderedDict):
pas... | {
"repo_name": "simone-campagna/petra",
"path": "petra/transition.py",
"copies": "1",
"size": "3240",
"license": "apache-2.0",
"hash": 844382075591611800,
"line_mean": 31.0792079208,
"line_max": 113,
"alpha_frac": 0.5978395062,
"autogenerated": false,
"ratio": 4.396200814111262,
"config_test": f... |
__all__ = [
'binnig_update',
'binning',
'uniform_mapping',
'greedy_max_entropy_mapping',
'almost_uniform_mapping'
]
import numpy as np
from .special import COUNT_T, RGB_T, RAW_T, BIN_T
from .special import binning_rgb
from .special import binning_raw
from .utils import wrong_dtype_exception
def binnig_up... | {
"repo_name": "yandexdataschool/crayimage",
"path": "crayimage/imgutils/binning.py",
"copies": "1",
"size": "3078",
"license": "mit",
"hash": 308721026403810750,
"line_mean": 27.7663551402,
"line_max": 109,
"alpha_frac": 0.6452241715,
"autogenerated": false,
"ratio": 3.0235756385068764,
"config... |
__all__ = [
'BufferHandler',
'DirHandler',
'FileHandler',
'make_buffer_handler',
'make_dir_handler',
'make_file_handler',
# Context.
'LOCAL_PATH',
]
import mimetypes
from g1.bases import labels
from .. import consts
from .. import wsgi_apps
from . import composers
from . import etags... | {
"repo_name": "clchiou/garage",
"path": "py/g1/webs/g1/webs/handlers/files.py",
"copies": "1",
"size": "6805",
"license": "mit",
"hash": 1321641003932177400,
"line_mean": 29.7918552036,
"line_max": 77,
"alpha_frac": 0.6240999265,
"autogenerated": false,
"ratio": 3.8598979013045946,
"config_test... |
__all__ = [
'build_image',
]
import contextlib
import dataclasses
import json
import logging
import tempfile
from pathlib import Path
import foreman
from g1 import scripts
from g1.bases.assertions import ASSERT
from g1.containers import models as ctr_models
from g1.containers import scripts as ctr_scripts
impor... | {
"repo_name": "clchiou/garage",
"path": "shipyard2/shipyard2/rules/images/build_image.py",
"copies": "1",
"size": "6975",
"license": "mit",
"hash": 46870623332532470,
"line_mean": 30.995412844,
"line_max": 109,
"alpha_frac": 0.592688172,
"autogenerated": false,
"ratio": 3.560490045941807,
"conf... |
__all__ = [
'Cache',
'NULL_CACHE',
]
import collections
import contextlib
import dataclasses
import hashlib
import io
import logging
import random
import shutil
import tempfile
import threading
from pathlib import Path
import g1.files
from g1.bases import timers
from g1.bases.assertions import ASSERT
LOG = l... | {
"repo_name": "clchiou/garage",
"path": "py/g1/files/g1/files/caches.py",
"copies": "1",
"size": "10465",
"license": "mit",
"hash": -7733741168624707000,
"line_mean": 29.1585014409,
"line_max": 76,
"alpha_frac": 0.5855709508,
"autogenerated": false,
"ratio": 3.760330578512397,
"config_test": fa... |
__all__ = [
'_calculate_time_range',
'update_time_steps',
'get_requested_time',
'get_input_time_steps',
'get_combined_input_time_steps',
]
import collections
import numpy as np
def _calculate_time_range(nt, dt=1.0):
"""Discretizes time range accoridng to step size ``dt`` in seconds"""
re... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/_helpers/timeseries.py",
"copies": "1",
"size": "4533",
"license": "bsd-3-clause",
"hash": -3240956809086617600,
"line_mean": 34.6929133858,
"line_max": 99,
"alpha_frac": 0.6463710567,
"autogenerated": false,
"ratio": 3.8513169073916... |
__all__ = [
'category',
'entry',
'sequence',
'HD_InitialEntryMode'
]
from category import *
from entry import *
from sequence import *
from hd_initialentry import *
import time
import locale
from .. import dmd
def generate_highscore_frames(categories, width, height):
"""Utility function t... | {
"repo_name": "mjocean/PyProcGameHD-SkeletonGame",
"path": "procgame/highscore/__init__.py",
"copies": "1",
"size": "1835",
"license": "mit",
"hash": -7657306159784471000,
"line_mean": 35.7,
"line_max": 103,
"alpha_frac": 0.629972752,
"autogenerated": false,
"ratio": 4.068736141906873,
"config_... |
__all__ = (
'Category',
)
class Category(tuple):
"""
This type acts as tuple with one key difference - two instances of it are
equal only when they have the same type. This allows you to easily mitigate
collisions when using common types (like string) in a dict or as a Wiring
:term:`specificat... | {
"repo_name": "msiedlarek/wiring",
"path": "wiring/categories.py",
"copies": "1",
"size": "1412",
"license": "apache-2.0",
"hash": 8547945390414328000,
"line_mean": 24.6727272727,
"line_max": 79,
"alpha_frac": 0.540368272,
"autogenerated": false,
"ratio": 4.189910979228487,
"config_test": false... |
__all__ = [
'check_numpy',
]
__displayname__ = 'Version Verifier'
try:
from ._helpers import PVGeoError
except ImportError:
PVGeoError = RuntimeError
def check_numpy(alert='print'):
"""A method to check the active environment's version of NumPy for
compatibility with PVGeo.
Args:
al... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/version.py",
"copies": "1",
"size": "1027",
"license": "bsd-3-clause",
"hash": 2440664839277276700,
"line_mean": 27.5277777778,
"line_max": 213,
"alpha_frac": 0.6192794547,
"autogenerated": false,
"ratio": 3.7481751824817517,
"conf... |
__all__ = [
'ClientBase',
]
import capnp
from garage.asyncs import futures
from garage.asyncs import queues
from garage.asyncs.messaging import reqrep
class ClientBase:
"""Abstract base class for implementing reqrep client."""
def _parse_response(self, request, response_message):
"""Parse respo... | {
"repo_name": "clchiou/garage",
"path": "py/garage/garage/asyncs/messaging/utils.py",
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__all__ = [
'Client',
'ServerTimeoutError',
]
import logging
import nng
import nng.asyncs
from g1.bases import classes
from g1.bases import collections
from g1.bases.assertions import ASSERT
from . import utils
LOG = logging.getLogger(__name__)
# This is just an alias for now.
ServerTimeoutError = nng.err... | {
"repo_name": "clchiou/garage",
"path": "py/g1/messaging/g1/messaging/reqrep/clients.py",
"copies": "1",
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"autogenerated": false,
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"c... |
__all__ = [
"CLOEXEC",
"NONBLOCK",
"ACCESS",
"MODIFY",
"ATTRIB",
"CLOSE_WRITE",
"CLOSE_NOWRITE",
"CLOSE",
"OPEN",
"MOVED_FROM",
"MOVED_TO",
"MOVE",
"CREATE",
"DELETE",
"DELETE_SELF",
"MOVE_SELF",
"UNMOUNT",
"Q_OVERFLOW",
"IGNORED",
"ONLYDI... | {
"repo_name": "tsavola/pyinotify-basic",
"path": "inotify/__init__.py",
"copies": "1",
"size": "4503",
"license": "mit",
"hash": -4917993005044944000,
"line_mean": 19.9441860465,
"line_max": 115,
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"autogenerated": false,
"ratio": 3.153361344537815,
"config_test": fals... |
__all__ = [
'cloudinit',
]
from pathlib import Path
import logging
# Prefer ruamel.yaml over PyYAML.
try:
from ruamel.yaml import YAML
import io
_YAML = YAML()
def yaml_dump(data):
with io.StringIO() as output:
_YAML.dump(data, output)
return output.getvalue()
... | {
"repo_name": "clchiou/garage",
"path": "py/ops/ops/mob/cloudinit.py",
"copies": "1",
"size": "5364",
"license": "mit",
"hash": -5575308496075629000,
"line_mean": 29.3050847458,
"line_max": 74,
"alpha_frac": 0.6137211037,
"autogenerated": false,
"ratio": 3.701863354037267,
"config_test": false,... |
__all__ = [
'cmd_build',
'cmd_release',
'cmd_unrelease',
]
import json
import logging
from pathlib import Path
import foreman
from g1 import scripts
from g1.bases import argparses
from g1.bases.assertions import ASSERT
import shipyard2
from . import repos
REPO_ROOT_PATH = Path(__file__).parent.parent.... | {
"repo_name": "clchiou/garage",
"path": "shipyard2/shipyard2/releases/build.py",
"copies": "1",
"size": "5770",
"license": "mit",
"hash": 4848672242771401000,
"line_mean": 25.5898617512,
"line_max": 75,
"alpha_frac": 0.6116117851,
"autogenerated": false,
"ratio": 3.230683090705487,
"config_test... |
__all__ = [
'cmd_cleanup',
]
import collections
import logging
import foreman
from g1.bases import argparses
from g1.bases.assertions import ASSERT
from . import repos
LOG = logging.getLogger(__name__)
@argparses.begin_parser(
'cleanup',
**argparses.make_help_kwargs('clean up build artifacts'),
)
@ar... | {
"repo_name": "clchiou/garage",
"path": "shipyard2/shipyard2/releases/cleanup.py",
"copies": "1",
"size": "4640",
"license": "mit",
"hash": 7606659219471721000,
"line_mean": 29.3267973856,
"line_max": 74,
"alpha_frac": 0.6439655172,
"autogenerated": false,
"ratio": 3.4808702175543886,
"config_t... |
__all__ = [
'cmd_init',
'get_repo_path',
# Command-line arguments.
'grace_period_arguments',
'make_grace_period_kwargs',
# App-specific helpers.
'chown_app',
'chown_root',
'make_dir',
'rsync_copy',
'setup_file',
]
import logging
import shutil
from pathlib import Path
from g... | {
"repo_name": "clchiou/garage",
"path": "py/g1/containers/g1/containers/bases.py",
"copies": "1",
"size": "2931",
"license": "mit",
"hash": 5028007680462324000,
"line_mean": 23.0245901639,
"line_max": 75,
"alpha_frac": 0.6236779256,
"autogenerated": false,
"ratio": 3.485136741973841,
"config_te... |
__all__ = [
'columnar_arguments',
'make_columnar_kwargs',
]
from g1.bases import argparses
from g1.bases import functionals
from g1.bases.assertions import ASSERT
from . import Formats
def columnar_arguments(columns, default_columns):
return functionals.compose(
argparses.argument(
'... | {
"repo_name": "clchiou/garage",
"path": "py/g1/texts/g1/texts/columns/argparses.py",
"copies": "1",
"size": "1483",
"license": "mit",
"hash": 5087140734717455000,
"line_mean": 26.9811320755,
"line_max": 78,
"alpha_frac": 0.5387727579,
"autogenerated": false,
"ratio": 4.2250712250712255,
"config... |
__all__ = (
'Column', 'TextColumn', 'NumberColumn',
)
class Column(object):
"""Represents a single column of a table.
``verbose_name`` defines a display name for this column used for output.
``name`` is the internal name of the column. Normally you don't need to
specify this, as the attribute tha... | {
"repo_name": "icomms/wqmanager",
"path": "apps/django_tables/columns.py",
"copies": "3",
"size": "3196",
"license": "bsd-3-clause",
"hash": -326920432366089400,
"line_mean": 39.4683544304,
"line_max": 80,
"alpha_frac": 0.6736545682,
"autogenerated": false,
"ratio": 4.457461645746164,
"config_t... |
__all__ = [
'CombineTables',
'ReshapeTable',
'ExtractArray',
'SplitTableOnArray',
'AppendTableToCellData',
]
__displayname__ = 'Table Operations'
import numpy as np
import vtk
from vtk.numpy_interface import dataset_adapter as dsa
import pyvista as pv
from .. import _helpers, interface
from ..ba... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/filters/tables.py",
"copies": "1",
"size": "15362",
"license": "bsd-3-clause",
"hash": 5322099062648182000,
"line_mean": 34.1533180778,
"line_max": 88,
"alpha_frac": 0.5621663846,
"autogenerated": false,
"ratio": 4.150770062145366,
... |
__all__ = [
'Command',
]
class Command(object):
"""A GTP command.
A GTP command contains:
- An optional sequence number (used for matching up responses with
commands)
- A command name, e.g. 'genmove'
- One or more arguments to the command, e.g. 'black'
"""
def __init__(self, seq... | {
"repo_name": "maxpumperla/betago",
"path": "betago/gtp/command.py",
"copies": "1",
"size": "1284",
"license": "mit",
"hash": -4506880383006361600,
"line_mean": 25.2040816327,
"line_max": 76,
"alpha_frac": 0.5755451713,
"autogenerated": false,
"ratio": 3.7876106194690267,
"config_test": false,
... |
__all__ = [
'ComponentStore',
]
from pathlib import Path
import copy
import hashlib
import json
import logging
import requests
import tempfile
from typing import Callable, Iterable
from . import _components as comp
from .structures import ComponentReference
from ._key_value_store import KeyValueStore
_COMPONENT_... | {
"repo_name": "kubeflow/pipelines",
"path": "sdk/python/kfp/components/_component_store.py",
"copies": "1",
"size": "13085",
"license": "apache-2.0",
"hash": 6916295595545179000,
"line_mean": 42.3278145695,
"line_max": 183,
"alpha_frac": 0.6022927016,
"autogenerated": false,
"ratio": 4.3028609010... |
__all__ = [
'ComponentStore',
]
from pathlib import Path
import copy
import requests
from typing import Callable
from . import _components as comp
from .structures import ComponentReference
class ComponentStore:
def __init__(self, local_search_paths=None, url_search_prefixes=None):
self.local_search_p... | {
"repo_name": "kubeflow/kfp-tekton-backend",
"path": "sdk/python/kfp/components/_component_store.py",
"copies": "1",
"size": "6197",
"license": "apache-2.0",
"hash": -1577578450024795600,
"line_mean": 43.2642857143,
"line_max": 183,
"alpha_frac": 0.6496691948,
"autogenerated": false,
"ratio": 4.3... |
__all__ = [
'compute_etag',
'compute_etag_from_file',
'maybe_raise_304',
]
import hashlib
import logging
import re
from .. import consts
from .. import wsgi_apps
LOG = logging.getLogger(__name__)
_CHUNK_SIZE = 8192
def compute_etag(content):
hasher = hashlib.md5()
hasher.update(content)
re... | {
"repo_name": "clchiou/garage",
"path": "py/g1/webs/g1/webs/handlers/etags.py",
"copies": "1",
"size": "1787",
"license": "mit",
"hash": -4296764127639388000,
"line_mean": 23.4794520548,
"line_max": 72,
"alpha_frac": 0.5987688864,
"autogenerated": false,
"ratio": 3.4103053435114505,
"config_tes... |
__all__ = [
'ConnectionManager',
]
import collections
import contextlib
import logging
from g1.asyncs.bases import locks
from g1.asyncs.bases import timers
from g1.bases import assertions
from g1.bases.assertions import ASSERT
from g1.operations.databases.bases import interfaces
LOG = logging.getLogger(__name__)... | {
"repo_name": "clchiou/garage",
"path": "py/g1/operations/databases/servers/g1/operations/databases/servers/connections.py",
"copies": "1",
"size": "5880",
"license": "mit",
"hash": -1977415965759700700,
"line_mean": 31.3076923077,
"line_max": 78,
"alpha_frac": 0.5964285714,
"autogenerated": false,... |
__all__ = [
"ConsulError",
"ConflictError",
"NotFound",
"SupportDisabled",
"TransactionError",
"UnauthorizedError"
]
class ConsulError(Exception):
"""Consul base error
Attributes:
value (Object): object of the error
meta (Meta): meta of the error
"""
def __init... | {
"repo_name": "johnnoone/aioconsul",
"path": "aioconsul/exceptions.py",
"copies": "1",
"size": "1964",
"license": "bsd-3-clause",
"hash": 3017824726051999000,
"line_mean": 22.9512195122,
"line_max": 75,
"alpha_frac": 0.5809572301,
"autogenerated": false,
"ratio": 4.251082251082251,
"config_test... |
__all__ = [
'ContextBase',
'DialerBase',
'Protocols',
'SocketBase',
]
import ctypes
import enum
from g1.bases import classes
from g1.bases.assertions import ASSERT
from . import _nng
from . import errors
from . import options
Protocols = enum.Enum(
'Protocols',
[(
name.upper(),
... | {
"repo_name": "clchiou/garage",
"path": "py/g1/third-party/nng/nng/bases.py",
"copies": "1",
"size": "9827",
"license": "mit",
"hash": -4038693703162032000,
"line_mean": 25.4878706199,
"line_max": 79,
"alpha_frac": 0.6151419558,
"autogenerated": false,
"ratio": 3.186446173800259,
"config_test":... |
__all__ = [
'Context',
]
import collections
import collections.abc
from . import classes
from .assertions import ASSERT
class Context(collections.abc.MutableMapping):
"""Context.
This is just a thin wrapper of collections.ChainMap.
"""
def __init__(self, content=None, *, _context=None):
... | {
"repo_name": "clchiou/garage",
"path": "py/g1/bases/g1/bases/contexts.py",
"copies": "1",
"size": "1609",
"license": "mit",
"hash": 3408155465053020000,
"line_mean": 25.3770491803,
"line_max": 71,
"alpha_frac": 0.5978868863,
"autogenerated": false,
"ratio": 4.032581453634085,
"config_test": fa... |
__all__ = [
'copy_exec',
'get_repo_path',
'get_zipapp_target_path',
'make_dir',
'set_dir_attrs',
'set_exec_attrs',
'set_file_attrs',
]
import logging
import shutil
from pathlib import Path
from g1.apps import parameters
from g1.bases.assertions import ASSERT
LOG = logging.getLogger(__name... | {
"repo_name": "clchiou/garage",
"path": "py/g1/operations/cores/g1/operations/cores/bases.py",
"copies": "1",
"size": "1964",
"license": "mit",
"hash": 2235058019174360300,
"line_mean": 21.5747126437,
"line_max": 65,
"alpha_frac": 0.616089613,
"autogenerated": false,
"ratio": 3.3175675675675675,
... |
__all__ = [
"CorruptedMessage",
"Stats",
"UnexpectedCommand",
"UnexpectedEOF",
"UnknownCommand",
"log",
]
import logging
import struct
log = logging.getLogger("offhand")
class UnexpectedEOF(Exception):
def __init__(self):
Exception.__init__(self, "Connection closed unexpectedly"... | {
"repo_name": "ninchat/offhand",
"path": "python/offhand/__init__.py",
"copies": "1",
"size": "1817",
"license": "bsd-2-clause",
"hash": 5965481283021618000,
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"line_max": 86,
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"autogenerated": false,
"ratio": 3.932900432900433,
"config_test"... |
__all__ = [
"create_ants_transform",
"new_ants_transform",
"read_transform",
"write_transform",
"transform_from_displacement_field",
]
import os
import numpy as np
from . import ants_image as iio
from . import ants_transform as tio
from .. import utils
def new_ants_transform(
precision="floa... | {
"repo_name": "ANTsX/ANTsPy",
"path": "ants/core/ants_transform_io.py",
"copies": "1",
"size": "9186",
"license": "apache-2.0",
"hash": 7761440627765396000,
"line_mean": 26.0973451327,
"line_max": 91,
"alpha_frac": 0.6257348138,
"autogenerated": false,
"ratio": 3.93573264781491,
"config_test": ... |
__all__ = [
'CreateEvenRectilinearGrid',
'CreateUniformGrid',
'CreateTensorMesh',
]
__displayname__ = 'Grids'
import numpy as np
import vtk
from .. import interface
from ..base import AlgorithmBase
def _makeSpatialCellData(nx, ny, nz):
"""Used for testing"""
arr = np.fromfunction(lambda k, j, i... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "PVGeo/model_build/grids.py",
"copies": "1",
"size": "12708",
"license": "bsd-3-clause",
"hash": 3741089605596108300,
"line_mean": 35.1022727273,
"line_max": 87,
"alpha_frac": 0.5774315392,
"autogenerated": false,
"ratio": 3.484507814642171... |
__all__ = (
'create_graph',
'draw',
)
import os
import graphviz as gv
def create_graph(net, *, name=None, format=None, engine=None):
print(name, format)
graph = gv.Digraph(name=name, format=format, engine=None)
#graph.node_attr["charset"] = "UTF-8"
#graph.node_attr["fillcolor"] = "#FFFFFF"
... | {
"repo_name": "simone-campagna/petra",
"path": "petra/utils/graph.py",
"copies": "1",
"size": "1505",
"license": "apache-2.0",
"hash": 7612651568433648000,
"line_mean": 32.4444444444,
"line_max": 77,
"alpha_frac": 0.6166112957,
"autogenerated": false,
"ratio": 3.4518348623853212,
"config_test":... |
__all__ = ['nCube','nCubeMesh','RegularCubeMesh']
from numpy import ndarray,array,asarray,rank,bitwise_xor,eye,hstack,vstack,arange,zeros
from simplex import Simplex
class RegularCubeMesh:
"""
A regular grid of hypercubes.
Examples:
# create a 2x2 cube mesh
bitmap = ones((2,2),dtyp... | {
"repo_name": "pkuwwt/pydec",
"path": "pydec/mesh/ncube.py",
"copies": "6",
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"config_test": false... |
__all__ = [
'customAxisTicks',
'resetAxisTicks',
'scaleAxis',
'setAxisLabelsFromBounds',
]
import vtk
def customAxisTicks(rng, axis=0, uniform=False):
"""Use to set custom axis ticks in the render view
Args:
rng (list(float)): A list or tuple of floats for the axis ticks
axis... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "pvmacros/vis/axes.py",
"copies": "1",
"size": "4099",
"license": "bsd-3-clause",
"hash": -2056325974394472000,
"line_mean": 29.1397058824,
"line_max": 80,
"alpha_frac": 0.6391802879,
"autogenerated": false,
"ratio": 3.5924627519719543,
"... |
__all__ = [
'DashApi',
]
try:
import simplejson as json
except ImportError:
import json
class DashApi(object):
def dashboard(self, dash_id):
"""
Return the dashboard with the given id.
See the `dashboard API documentation <http://docs.datadoghq.com/api/#dashboard>`_ for the
... | {
"repo_name": "DataDog/dogapi",
"path": "src/dogapi/http/dashes.py",
"copies": "2",
"size": "2573",
"license": "bsd-3-clause",
"hash": -477662402951493950,
"line_mean": 31.5696202532,
"line_max": 104,
"alpha_frac": 0.5713175282,
"autogenerated": false,
"ratio": 4.288333333333333,
"config_test":... |
__all__ = [
'DATABASE_PORT',
'DATABASE_PUBLISHER_PORT',
# Database interface.
'DatabaseInterface',
'DatabaseRequest',
'DatabaseResponse',
# Database watcher interface.
'DatabaseEvent',
# Type aliases.
'Expiration',
'Key',
'LeaseId',
'Revision',
'TransactionId',
... | {
"repo_name": "clchiou/garage",
"path": "py/g1/operations/databases/bases/g1/operations/databases/bases/interfaces.py",
"copies": "1",
"size": "14289",
"license": "mit",
"hash": 835693825143514100,
"line_mean": 24.9328493648,
"line_max": 74,
"alpha_frac": 0.6164182238,
"autogenerated": false,
"ra... |
__all__ = [
'DatabaseServer',
]
import collections
import functools
import logging
import time
import sqlalchemy
from g1.asyncs.bases import tasks
from g1.asyncs.bases import timers
from g1.bases.assertions import ASSERT
from g1.operations.databases.bases import interfaces
from . import connections
from . impor... | {
"repo_name": "clchiou/garage",
"path": "py/g1/operations/databases/servers/g1/operations/databases/servers/servers.py",
"copies": "1",
"size": "9279",
"license": "mit",
"hash": 8730191180591167000,
"line_mean": 32.0213523132,
"line_max": 78,
"alpha_frac": 0.5982325682,
"autogenerated": false,
"r... |
__all__ = [
"dedent_block_string_value",
"print_block_string",
"get_block_string_indentation",
]
def dedent_block_string_value(raw_string: str) -> str:
"""Produce the value of a block string from its parsed raw value.
Similar to CoffeeScript's block string, Python's docstring trim or Ruby's
s... | {
"repo_name": "graphql-python/graphql-core",
"path": "src/graphql/language/block_string.py",
"copies": "1",
"size": "3198",
"license": "mit",
"hash": -6614283977143846000,
"line_mean": 30.0485436893,
"line_max": 79,
"alpha_frac": 0.6138211382,
"autogenerated": false,
"ratio": 3.895249695493301,
... |
__all__ = [
'DEFAULT_FILTERS',
'DEFAULT_XAR_FILTERS',
'merge_image',
]
import contextlib
import logging
import tempfile
from pathlib import Path
from g1 import scripts
from g1.containers import models
from g1.containers import scripts as ctr_scripts
from . import utils
LOG = logging.getLogger(__name__)
... | {
"repo_name": "clchiou/garage",
"path": "shipyard2/shipyard2/rules/images/merge_image.py",
"copies": "1",
"size": "5627",
"license": "mit",
"hash": -3166568908898312000,
"line_mean": 33.3109756098,
"line_max": 78,
"alpha_frac": 0.5997867425,
"autogenerated": false,
"ratio": 3.5323289391086,
"co... |
__all__ = [
'DEFAULT_USER_AGENT',
'make_connection_pool_params_dict',
'make_params_dict',
'make_rate_limit',
'make_retry',
]
from g1.apps import parameters
from .. import policies
DEFAULT_USER_AGENT = 'Mozilla/5.0'
def make_params_dict(
# Cache.
cache_size=8,
# Circuit breaker.
... | {
"repo_name": "clchiou/garage",
"path": "py/g1/http/clients/g1/http/clients/parts/bases.py",
"copies": "1",
"size": "3262",
"license": "mit",
"hash": 5030547067880569000,
"line_mean": 24.2868217054,
"line_max": 78,
"alpha_frac": 0.5533415083,
"autogenerated": false,
"ratio": 4.062266500622665,
... |
__all__ = [
'deleteDownstream',
]
__displayname__ = 'Pipeline'
def deleteDownstream(input_source=None):
"""Delete downstream filters for a given input source. If no input source
provided, all filters on the pipeline will be deleted.
Args:
input_source (str): The name of the object on the pip... | {
"repo_name": "banesullivan/ParaViewGeophysics",
"path": "pvmacros/pipeline.py",
"copies": "1",
"size": "1263",
"license": "bsd-3-clause",
"hash": 9080383847292226000,
"line_mean": 29.8048780488,
"line_max": 79,
"alpha_frac": 0.5993665875,
"autogenerated": false,
"ratio": 4.048076923076923,
"co... |
__all__ = [
'depends',
'config_fields',
'run'
]
import glob
import os
depends = [
]
config_fields = {
"locations": list,
}
def run(tracker):
for location in tracker.config['locations']:
tracker.run_job(job_clean, "Cleaning %s" % location, location)
tracker.run_job(job_clean_no_remov... | {
"repo_name": "ammongit/ucr-class-map",
"path": "scripts/target_clean.py",
"copies": "1",
"size": "1210",
"license": "mit",
"hash": 8210196982293180000,
"line_mean": 22.2692307692,
"line_max": 73,
"alpha_frac": 0.5851239669,
"autogenerated": false,
"ratio": 3.6336336336336337,
"config_test": fa... |
__all__ = [
'depends',
'config_fields',
'run'
]
import glob
import os
depends = [
]
config_fields = {
}
def run(tracker):
for location in ('js', 'tests'):
tracker.run_job(job_clean, "Cleaning %s" % location, location)
tracker.run_job(job_clean_no_remove_regex, "Cleaning regex", "regex")... | {
"repo_name": "BradleyCai/ucr-schedule-visualizer",
"path": "scripts/target_clean.py",
"copies": "2",
"size": "1177",
"license": "mit",
"hash": 6005885149075181000,
"line_mean": 21.2075471698,
"line_max": 73,
"alpha_frac": 0.577740017,
"autogenerated": false,
"ratio": 3.599388379204893,
"config... |
__all__ = [
'depends',
'config_fields',
'run',
]
import random
depends = [
# Specify dependencies here. Each of these is a target
# as specified in a target_* file.
]
config_fields = {
# Settings can be passed to a target as a JSON file
# Specify the types of each field here
# If thi... | {
"repo_name": "ammongit/ucr-class-map",
"path": "scripts/target_sample.py",
"copies": "1",
"size": "1186",
"license": "mit",
"hash": 3373570609063107000,
"line_mean": 25.3555555556,
"line_max": 71,
"alpha_frac": 0.6374367622,
"autogenerated": false,
"ratio": 3.4080459770114944,
"config_test": f... |
__all__ = [
'depends',
'config_fields',
'run',
]
"""
The purpose of this target is to 'compile' the regular expressions
found in the regex/ directory and inject them into their respective
Javascript sources in the js/ directory. This is done by invoking a
Python script in regex/ that combines multiple *.re... | {
"repo_name": "ammongit/ucr-class-map",
"path": "scripts/target_build.py",
"copies": "1",
"size": "7049",
"license": "mit",
"hash": -995953861065559800,
"line_mean": 31.3348623853,
"line_max": 127,
"alpha_frac": 0.6033479926,
"autogenerated": false,
"ratio": 3.9139367018323155,
"config_test": t... |
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