text stringlengths 0 1.05M | meta dict |
|---|---|
from functools import partial
from httplib import HTTPConnection, HTTPSConnection
from itertools import chain
from urlparse import urlparse
import multipart
def request(method, url, data, headers, callback=None):
url = urlparse(url)
# Connect
if url.scheme == 'https':
request = HTTPSConnection(u... | {
"repo_name": "jhaals/filebutler-upload",
"path": "filebutler_upload/httputils.py",
"copies": "1",
"size": "1372",
"license": "bsd-3-clause",
"hash": 2907101702800709000,
"line_mean": 23.0701754386,
"line_max": 70,
"alpha_frac": 0.6712827988,
"autogenerated": false,
"ratio": 4.170212765957447,
... |
from functools import partial
from ... import documentation_helpers
from ...component_index import component_index
from . import cfc_utils
SIDE_COLOR = "color(var(--bluish) blend(var(--background) 60%))"
def get_inline_documentation(cfml_view, doc_type):
if not cfml_view.project_name:
return None
c... | {
"repo_name": "thomasrotter/sublimetext-cfml",
"path": "src/plugins_/dotpaths/documentation.py",
"copies": "2",
"size": "4669",
"license": "mit",
"hash": -7729470483098628000,
"line_mean": 30.5472972973,
"line_max": 85,
"alpha_frac": 0.5776397516,
"autogenerated": false,
"ratio": 3.73221422861710... |
from functools import partial
from importlib import import_module
import inspect
from flask.ext.restful import Api, abort
import six
from flask_presst.schema import Schema
from flask_presst.resources import PresstResource, ModelResource
from flask_presst.utils.routes import route_from
class PresstApi(Api):
"""
... | {
"repo_name": "svenstaro/flask-presst",
"path": "flask_presst/api.py",
"copies": "1",
"size": "5264",
"license": "mit",
"hash": 1913830259911611600,
"line_mean": 35.8111888112,
"line_max": 104,
"alpha_frac": 0.5873860182,
"autogenerated": false,
"ratio": 4.238325281803543,
"config_test": false,... |
from functools import partial
from importlib import import_module
def import_string(dotted_path, dotted_attributes=None):
"""
Import a dotted module path and return the attribute/class designated by the
last name in the path. When a dotted attribute path is also provided, the
dotted attribute path wou... | {
"repo_name": "graphql-python/graphene",
"path": "graphene/utils/module_loading.py",
"copies": "1",
"size": "1645",
"license": "mit",
"hash": 2134580447413049000,
"line_mean": 34.7608695652,
"line_max": 90,
"alpha_frac": 0.6431610942,
"autogenerated": false,
"ratio": 4.620786516853933,
"config_... |
from functools import partial
from importlib import reload
from io import BytesIO, StringIO
import os
from pathlib import Path
import re
import threading
from urllib.error import URLError
import numpy as np
import pytest
from pandas.compat import is_platform_windows
from pandas.errors import ParserError
import pandas... | {
"repo_name": "jreback/pandas",
"path": "pandas/tests/io/test_html.py",
"copies": "1",
"size": "39911",
"license": "bsd-3-clause",
"hash": 325153387759483500,
"line_mean": 30.7257551669,
"line_max": 88,
"alpha_frac": 0.4731778207,
"autogenerated": false,
"ratio": 3.6733548090197883,
"config_tes... |
from functools import partial
from . import Path, PathOp, op
__all__ = [
"difference",
"intersection",
"reverse_difference",
"union",
"xor",
]
def _draw(contours):
path = Path()
pen = path.getPen()
for contour in contours:
contour.draw(pen)
return path
def union(
co... | {
"repo_name": "fonttools/skia-pathops",
"path": "src/python/pathops/operations.py",
"copies": "1",
"size": "1241",
"license": "bsd-3-clause",
"hash": 3766193227984432600,
"line_mean": 17.803030303,
"line_max": 63,
"alpha_frac": 0.6091861402,
"autogenerated": false,
"ratio": 3.485955056179775,
"... |
from functools import partial
from inject import assign_injectables
from getters import with_getters_for
""" Data access objects, representing rows in the database tables. """
class NoneId(Exception):
pass
def get_id_if_not_none(self):
"""
Modified ID getter function that raises an Exception instead of
sile... | {
"repo_name": "rahulraj/web_projects",
"path": "assignment6/advgame/dataaccess.py",
"copies": "1",
"size": "4098",
"license": "mit",
"hash": -3650735342452284000,
"line_mean": 31.5238095238,
"line_max": 77,
"alpha_frac": 0.6852122987,
"autogenerated": false,
"ratio": 3.412156536219817,
"config_... |
from functools import partial
from inspect import getargspec
from django import template
from django.template import Context
from django.template.base import Node, TemplateSyntaxError
from ..compat import generic_tag_compiler
register = template.Library()
def lazy_tag(self, func=None, takes_context=None, name=None,... | {
"repo_name": "andreif/djedi-cms",
"path": "djedi/templatetags/template.py",
"copies": "1",
"size": "2832",
"license": "bsd-3-clause",
"hash": 5295261771052345000,
"line_mean": 36.76,
"line_max": 103,
"alpha_frac": 0.615819209,
"autogenerated": false,
"ratio": 4.495238095238095,
"config_test": ... |
from functools import partial
from inspect import getargspec
from django import template
from django.template import Node, TemplateSyntaxError, generic_tag_compiler
register = template.Library()
def lazy_tag(self, func=None, takes_context=None, name=None, node_class=None):
"""
A tag function decorator, injec... | {
"repo_name": "chrippa/djedi-cms",
"path": "djedi/templatetags/template.py",
"copies": "2",
"size": "2761",
"license": "bsd-3-clause",
"hash": 1413380331979321600,
"line_mean": 37.3472222222,
"line_max": 103,
"alpha_frac": 0.6106483158,
"autogenerated": false,
"ratio": 4.504078303425775,
"confi... |
from functools import partial
from inspect import getfullargspec
from typing import Callable, Iterable, List, Union
from prompt_toolkit.completion import ( # type: ignore
CompleteEvent,
Completer,
WordCompleter,
)
from prompt_toolkit.document import Document # type: ignore
class ArgsCompleter(Completer... | {
"repo_name": "AndreaOrru/Gilgamesh",
"path": "gilgamesh/repl/completers.py",
"copies": "1",
"size": "1181",
"license": "bsd-2-clause",
"hash": -1378940996398734000,
"line_mean": 32.7428571429,
"line_max": 87,
"alpha_frac": 0.6477561389,
"autogenerated": false,
"ratio": 4.310218978102189,
"conf... |
from functools import partial
from inspect import getmembers
from mock import patch, ANY, call
from os import path
from time import sleep
from unittest import TestCase
from fixture.io import TempIO
from pyinotify import WatchManager, Notifier
from testrunner import default_config
from testrunner.configurator import C... | {
"repo_name": "mrfuxi/testrunner",
"path": "testrunner/tests/test_functional.py",
"copies": "1",
"size": "5619",
"license": "mit",
"hash": -2518644679485369300,
"line_mean": 35.9671052632,
"line_max": 79,
"alpha_frac": 0.6243103755,
"autogenerated": false,
"ratio": 3.7015810276679844,
"config_t... |
from functools import partial
from inspect import isclass
from graphql_relay import from_global_id, to_global_id
from ..types import ID, Field, Interface, ObjectType
from ..types.interface import InterfaceOptions
from ..types.utils import get_type
def is_node(objecttype):
"""
Check if the given objecttype h... | {
"repo_name": "graphql-python/graphene",
"path": "graphene/relay/node.py",
"copies": "1",
"size": "4099",
"license": "mit",
"hash": 3513349553710882300,
"line_mean": 30.7751937984,
"line_max": 92,
"alpha_frac": 0.6011222249,
"autogenerated": false,
"ratio": 3.848826291079812,
"config_test": fal... |
from functools import partial
from inspect import isfunction
from .mock import Mock
from .regex import isregex
from .mock_engine import MockEngine
from .exceptions import PookNoMatches, PookExpiredMock
class Engine(object):
"""
Engine represents the mock interceptor and matcher engine responsible
of trigg... | {
"repo_name": "h2non/pook",
"path": "pook/engine.py",
"copies": "1",
"size": "13979",
"license": "mit",
"hash": 8089552689612547000,
"line_mean": 30.3430493274,
"line_max": 79,
"alpha_frac": 0.5922455111,
"autogenerated": false,
"ratio": 4.843728343728344,
"config_test": false,
"has_no_keywor... |
from functools import partial
from io import BytesIO
from operator import attrgetter
import unicodecsv as csv
from django.core.exceptions import ImproperlyConfigured
try:
from django.utils.encoding import force_text
except ImportError: # Django < 1.4
from django.utils.encoding import force_unicode as force_... | {
"repo_name": "fusionbox/django-separated",
"path": "separated/utils.py",
"copies": "1",
"size": "3832",
"license": "bsd-2-clause",
"hash": -3443047417813258000,
"line_mean": 30.1544715447,
"line_max": 79,
"alpha_frac": 0.624217119,
"autogenerated": false,
"ratio": 4.183406113537118,
"config_te... |
from functools import partial
from io import BytesIO
from os import path
from django.core.exceptions import ImproperlyConfigured
from django.core.files.uploadedfile import SimpleUploadedFile
from django.db import models
from django.db.models import signals
from django.forms import Textarea, ValidationError
from django... | {
"repo_name": "ellmetha/django-machina",
"path": "machina/models/fields.py",
"copies": "1",
"size": "10513",
"license": "bsd-3-clause",
"hash": -481433791678441500,
"line_mean": 37.937037037,
"line_max": 100,
"alpha_frac": 0.638067155,
"autogenerated": false,
"ratio": 4.228881737731295,
"config... |
from functools import partial
from io import StringIO
import os
from os.path import join
from unittest.mock import call, mock_open, Mock
import psutil
from app.subcommands.stop_subcommand import Configuration, StopSubcommand
from test.framework.base_unit_test_case import BaseUnitTestCase
class TestStopSubcommand(Ba... | {
"repo_name": "josephharrington/ClusterRunner",
"path": "test/unit/subcommands/test_stop_subcommand.py",
"copies": "3",
"size": "6628",
"license": "apache-2.0",
"hash": 5100339790978438000,
"line_mean": 37.7602339181,
"line_max": 116,
"alpha_frac": 0.6430295715,
"autogenerated": false,
"ratio": 3... |
from functools import partial
from itertools import accumulate as accumulate_, chain, islice, tee
MYPY = False
if MYPY:
from typing import Callable, Iterable, Iterator, List, Optional, Set, Tuple, TypeVar
T = TypeVar('T')
filter_ = partial(filter, None) # type: Callable[[Iterable[Optional[T]]], Iterator[T]]... | {
"repo_name": "divmain/GitSavvy",
"path": "core/fns.py",
"copies": "1",
"size": "3300",
"license": "mit",
"hash": -1071184683616708000,
"line_mean": 29,
"line_max": 91,
"alpha_frac": 0.5875757576,
"autogenerated": false,
"ratio": 3.3880903490759753,
"config_test": false,
"has_no_keywords": fa... |
from functools import partial
from itertools import chain, izip
from pycparser import c_ast
from pyc_fmtstr_parser.printf_parse import printf_parse, Arg_type as p_Arg_type
from pyc_fmtstr_parser.scanf_parse import scanf_parse, Arg_type as s_Arg_type
from decomp import ida, utils
from decomp.c import decl as cdecl, type... | {
"repo_name": "nihilus/epanos",
"path": "decomp/cpu/mips/abi/n32.py",
"copies": "1",
"size": "8197",
"license": "mit",
"hash": 1934216864747196000,
"line_mean": 33.7330508475,
"line_max": 89,
"alpha_frac": 0.6086373063,
"autogenerated": false,
"ratio": 2.866083916083916,
"config_test": false,
... |
from functools import partial
from itertools import chain
from math import ceil
from multiprocessing.dummy import Pool
from .request import request
def parallel(worker):
def wrapper(self, args):
pool = Pool(len(args))
results = pool.map(partial(worker, self), args)
pool.close()
poo... | {
"repo_name": "AntonSever/umat",
"path": "endpoints/service/collect.py",
"copies": "1",
"size": "1668",
"license": "mit",
"hash": -3699188848073569000,
"line_mean": 27.7586206897,
"line_max": 62,
"alpha_frac": 0.5995203837,
"autogenerated": false,
"ratio": 3.7823129251700682,
"config_test": fal... |
from functools import partial
from itertools import chain
from operator import attrgetter
import collections
import copy
import inspect
import logging
import warnings
from django.apps import apps
from django.conf import settings
from django.core import validators
from django.db.models import options
from django.db.mod... | {
"repo_name": "r4fek/django-cassandra-engine",
"path": "django_cassandra_engine/models/__init__.py",
"copies": "1",
"size": "32499",
"license": "bsd-2-clause",
"hash": -1024666503662155800,
"line_mean": 36.3551724138,
"line_max": 112,
"alpha_frac": 0.5651250808,
"autogenerated": false,
"ratio": 4... |
from functools import partial
from itertools import chain
import operator as op
import random
import numpy as np
def sanitize_table_name(table_name):
return table_name.replace('\'', '\'\'')
# benchmark => "'benchmark'"
# 100 => "100"
def quote(x):
if type(x) in [str, unicode]: return "\'{}\'".format(x)
else: ... | {
"repo_name": "plum-umd/adaptive-concretization",
"path": "util.py",
"copies": "1",
"size": "3856",
"license": "mit",
"hash": 8051133744522881000,
"line_mean": 25.4109589041,
"line_max": 113,
"alpha_frac": 0.5692427386,
"autogenerated": false,
"ratio": 2.820775420629115,
"config_test": false,
... |
from functools import partial
from itertools import chain
import factory
from pycroft.model.user import Membership, PropertyGroup
from .base import BaseFactory
from .user import UserFactory
class MembershipFactory(BaseFactory):
class Meta:
model = Membership
begins_at = None
ends_at = None
... | {
"repo_name": "lukasjuhrich/pycroft",
"path": "tests/factories/property.py",
"copies": "1",
"size": "1737",
"license": "apache-2.0",
"hash": 4139817203823906000,
"line_mean": 27.4754098361,
"line_max": 81,
"alpha_frac": 0.6586067933,
"autogenerated": false,
"ratio": 3.8859060402684564,
"config_... |
from functools import partial
from itertools import chain, tee
import logging
import numpy as np
log = logging.getLogger(__name__)
PI2 = 2 * np.pi
def pairwise(iterable):
one, two = tee(iterable)
next(two, None)
return zip(one, two)
def grouper(iterable, n):
return zip(*([iter(iterable)] * n))
... | {
"repo_name": "ivanovwaltz/wavelet_sound_microscope",
"path": "analyze/wavelet/base.py",
"copies": "1",
"size": "5440",
"license": "mit",
"hash": 4357567612382354400,
"line_mean": 25.475,
"line_max": 78,
"alpha_frac": 0.6171860246,
"autogenerated": false,
"ratio": 3.1820913461538463,
"config_te... |
from functools import partial
from itertools import count
class MemoizedGenerator(object):
"""Memoize a generator to avoid computing any term more than once.
"""
def __init__(self, gen):
# The underlying generator
self.__gen = gen
# Memoization fields
self.__cache = []
... | {
"repo_name": "ActiveState/code",
"path": "recipes/Python/577992_Memoize_Generator/recipe-577992.py",
"copies": "1",
"size": "1723",
"license": "mit",
"hash": -2767489896494934500,
"line_mean": 33.46,
"line_max": 70,
"alpha_frac": 0.5548461985,
"autogenerated": false,
"ratio": 4.894886363636363,
... |
from functools import partial
from itertools import cycle
import logging
import numpy as np
import os
import pickle
from scipy import sparse as sp
import tensorflow as tf
from .errors import (
ModelNotBiasedException, ModelNotFitException, ModelWithoutAttentionException, BatchNonSparseInputException,
TfVersion... | {
"repo_name": "jfkirk/tensorrec",
"path": "tensorrec/tensorrec.py",
"copies": "1",
"size": "47774",
"license": "apache-2.0",
"hash": 1213120234606242300,
"line_mean": 51.0981461287,
"line_max": 119,
"alpha_frac": 0.6222422238,
"autogenerated": false,
"ratio": 4.231157559117881,
"config_test": f... |
from functools import partial
from itertools import groupby
from operator import attrgetter
from django.forms.models import (
ModelChoiceIterator, ModelChoiceField, ModelMultipleChoiceField
)
class GroupedModelChoiceIterator(ModelChoiceIterator):
def __init__(self, field, groupby):
self.groupby = gro... | {
"repo_name": "gamernetwork/gn-django",
"path": "gn_django/form/grouped_model_choice_field.py",
"copies": "1",
"size": "1541",
"license": "mit",
"hash": -6905279933611327000,
"line_mean": 31.1041666667,
"line_max": 90,
"alpha_frac": 0.6567164179,
"autogenerated": false,
"ratio": 4.479651162790698... |
from functools import partial
from itertools import groupby
from operator import attrgetter
try:
from itertools import ifilter
from itertools import imap
except ImportError:
imap = map
ifilter = filter
import logging
import heapq
from karld import is_py3
#generator that gets sorted iterator
def m... | {
"repo_name": "johnwlockwood/karl_data",
"path": "karld/merger.py",
"copies": "1",
"size": "3172",
"license": "apache-2.0",
"hash": 7613787576726257000,
"line_mean": 27.0707964602,
"line_max": 92,
"alpha_frac": 0.5952080706,
"autogenerated": false,
"ratio": 3.5963718820861676,
"config_test": fa... |
from functools import partial
from itertools import groupby
import numpy as np
import sympy
from devito.exceptions import InvalidOperator
from devito.ir.support import Any, Backward, Forward, IterationSpace
from devito.ir.clusters.analysis import analyze
from devito.ir.clusters.cluster import Cluster, ClusterGroup
fr... | {
"repo_name": "opesci/devito",
"path": "devito/ir/clusters/algorithms.py",
"copies": "1",
"size": "11936",
"license": "mit",
"hash": 6383802306931843000,
"line_mean": 39.7372013652,
"line_max": 90,
"alpha_frac": 0.591655496,
"autogenerated": false,
"ratio": 4.151652173913043,
"config_test": fal... |
from functools import partial
from itertools import imap, ifilter, islice, takewhile, dropwhile
import operator
from pipetools.debug import set_name, repr_args, get_name
from pipetools.decorators import data_structure_builder, regex_condition
from pipetools.decorators import pipe_util, auto_string_formatter
from pipet... | {
"repo_name": "jD0T/pipetools",
"path": "pipetools/utils.py",
"copies": "3",
"size": "7002",
"license": "mit",
"hash": -1276415535051169300,
"line_mean": 22.8976109215,
"line_max": 78,
"alpha_frac": 0.6033990288,
"autogenerated": false,
"ratio": 3.4957563654518222,
"config_test": false,
"has_... |
from functools import partial
from itertools import imap, ifilter, islice, takewhile
import operator
from pipetools.debug import set_name, repr_args, get_name
from pipetools.decorators import data_structure_builder
from pipetools.decorators import pipe_util, auto_string_formatter
from pipetools.main import pipe, X, _i... | {
"repo_name": "starenka/pipetools",
"path": "pipetools/utils.py",
"copies": "1",
"size": "5594",
"license": "mit",
"hash": -4169721544889463300,
"line_mean": 21.8326530612,
"line_max": 78,
"alpha_frac": 0.6011798355,
"autogenerated": false,
"ratio": 3.563057324840764,
"config_test": false,
"h... |
from functools import partial
from itertools import imap
import string
# Higher order
from standardize_address import expand_standardize_abbr
from standardize_address import lookup_standardize_abbr
from standardize_address import title_case_string
def lower_getter(getter, data):
"""
Lower cases the result of... | {
"repo_name": "johnwlockwood/txt2vote",
"path": "txttovote/info_extractors/__init__.py",
"copies": "1",
"size": "5782",
"license": "apache-2.0",
"hash": 4299744699552664600,
"line_mean": 26.2735849057,
"line_max": 78,
"alpha_frac": 0.6191629194,
"autogenerated": false,
"ratio": 4.02086230876217,
... |
from functools import partial
from itertools import izip
import csv
# n k
# a b c r
## {{{ http://code.activestate.com/recipes/164740/ (r1)
import sys
def iterslice(sequence, start=None, stop=None, step=1):
if step == 0:
raise ValueError, "Attempt to use 0 as step value"
if stop is None:
stop ... | {
"repo_name": "jdotjdot/Coding-Fun",
"path": "Facebook Hacker Cup/findthemin.py",
"copies": "1",
"size": "4040",
"license": "mit",
"hash": 3013382388439178000,
"line_mean": 27.6524822695,
"line_max": 82,
"alpha_frac": 0.495049505,
"autogenerated": false,
"ratio": 3.3087633087633086,
"config_tes... |
from functools import partial
from itertools import (
dropwhile,
takewhile,
islice,
count,
product,
chain,
starmap,
filterfalse,
)
import collections
import types
from functional.execution import ExecutionStrategies
#: Defines a Transformation from a name, function, and execution_stra... | {
"repo_name": "EntilZha/ScalaFunctional",
"path": "functional/transformations.py",
"copies": "1",
"size": "17277",
"license": "mit",
"hash": -454844308131215900,
"line_mean": 23.5761024182,
"line_max": 100,
"alpha_frac": 0.6305492852,
"autogenerated": false,
"ratio": 3.9993055555555554,
"config... |
from functools import partial
from itertools import permutations
from typing import (Iterable,
List)
from hypothesis import strategies
from hypothesis.searchstrategy import SearchStrategy
from sqlalchemy import Column
from cetus.types import RecordType
from .utils import values_strategies_by_pytho... | {
"repo_name": "lycantropos/cetus",
"path": "tests/strategies/records.py",
"copies": "1",
"size": "2896",
"license": "mit",
"hash": -1413063946963916300,
"line_mean": 35.2,
"line_max": 71,
"alpha_frac": 0.6149861878,
"autogenerated": false,
"ratio": 4.4829721362229105,
"config_test": false,
"h... |
from functools import partial
from itertools import permutations
import numpy as np
import unittest
from numba.core.compiler import compile_isolated, Flags
from numba import jit, njit, from_dtype, typeof
from numba.core.errors import TypingError
from numba.core import types, errors
from numba.tests.support import (Te... | {
"repo_name": "stuartarchibald/numba",
"path": "numba/tests/test_array_manipulation.py",
"copies": "5",
"size": "27786",
"license": "bsd-2-clause",
"hash": 6846337517345113000,
"line_mean": 31.1597222222,
"line_max": 102,
"alpha_frac": 0.5493413949,
"autogenerated": false,
"ratio": 3.437585055053... |
from functools import partial
from itertools import product
from .core import make_vjp, make_jvp, vspace
from .util import subvals
from .wrap_util import unary_to_nary, get_name
TOL = 1e-6
RTOL = 1e-6
def scalar_close(a, b):
return abs(a - b) < TOL or abs(a - b) / abs(a + b) < RTOL
EPS = 1e-6
def make_numerica... | {
"repo_name": "HIPS/autograd",
"path": "autograd/test_util.py",
"copies": "3",
"size": "2881",
"license": "mit",
"hash": -5422958327604389000,
"line_mean": 35.9358974359,
"line_max": 76,
"alpha_frac": 0.5501561958,
"autogenerated": false,
"ratio": 2.5117698343504795,
"config_test": false,
"ha... |
from functools import partial
from itertools import product
from django import forms
from django.core.exceptions import ValidationError
from django.db import transaction
from django.forms import BaseInlineFormSet
from django.forms.widgets import flatatt
from django.utils.encoding import force_text
from django.utils.htm... | {
"repo_name": "Unicorn-rzl/pretix",
"path": "src/pretix/control/forms/__init__.py",
"copies": "1",
"size": "16922",
"license": "apache-2.0",
"hash": 6316455510951900000,
"line_mean": 40.8836633663,
"line_max": 112,
"alpha_frac": 0.597009633,
"autogenerated": false,
"ratio": 4.472905101771081,
"... |
from functools import partial
from itertools import product
from operator import eq
class StreamMapper:
"""The stream mapper can be used to simplify the process of creating
stream objects from data.
:param cmp: This callable is used to compare each mapping's key
with a value.
"""
... | {
"repo_name": "streamlink/streamlink",
"path": "src/streamlink/plugin/api/mapper.py",
"copies": "3",
"size": "1634",
"license": "bsd-2-clause",
"hash": 8431959147377303000,
"line_mean": 31.0392156863,
"line_max": 78,
"alpha_frac": 0.5575275398,
"autogenerated": false,
"ratio": 4.722543352601156,
... |
from functools import partial
from itertools import product
from operator import eq
class StreamMapper(object):
"""The stream mapper can be used to simplify the process of creating
stream objects from data.
:param cmp: This callable is used to compare each mapping's key
with a value.
... | {
"repo_name": "intact/livestreamer",
"path": "src/livestreamer/plugin/api/mapper.py",
"copies": "37",
"size": "1625",
"license": "bsd-2-clause",
"hash": -1954877691183692500,
"line_mean": 32.1632653061,
"line_max": 78,
"alpha_frac": 0.5643076923,
"autogenerated": false,
"ratio": 4.62962962962963,... |
from functools import partial
from itertools import product
from pgcli.packages.parseutils.meta import FunctionMetadata, ForeignKey
from prompt_toolkit.completion import Completion
from prompt_toolkit.document import Document
from mock import Mock
import pytest
parametrize = pytest.mark.parametrize
qual = ['if_more_t... | {
"repo_name": "koljonen/pgcli",
"path": "tests/metadata.py",
"copies": "1",
"size": "8649",
"license": "bsd-3-clause",
"hash": -1002618050899870700,
"line_mean": 34.1585365854,
"line_max": 88,
"alpha_frac": 0.5826107064,
"autogenerated": false,
"ratio": 3.8525612472160358,
"config_test": false,... |
from functools import partial
from itertools import product
from string import ascii_letters
import warnings
import numpy as np
from pandas import (
Categorical, DataFrame, MultiIndex, Series, TimeGrouper, Timestamp,
date_range, period_range)
import pandas.util.testing as tm
method_blacklist = {
'object... | {
"repo_name": "GuessWhoSamFoo/pandas",
"path": "asv_bench/benchmarks/groupby.py",
"copies": "1",
"size": "18257",
"license": "bsd-3-clause",
"hash": 3655812322681993700,
"line_mean": 32.684501845,
"line_max": 79,
"alpha_frac": 0.5313030618,
"autogenerated": false,
"ratio": 3.425971101519985,
"c... |
from functools import partial
from itertools import product
from string import ascii_letters
import numpy as np
from pandas import (
Categorical, DataFrame, MultiIndex, Series, Timestamp,
date_range, period_range)
import pandas.util.testing as tm
method_blacklist = {
'object': {'median', 'prod', 'sem', ... | {
"repo_name": "cbertinato/pandas",
"path": "asv_bench/benchmarks/groupby.py",
"copies": "1",
"size": "17920",
"license": "bsd-3-clause",
"hash": -1634311501073507000,
"line_mean": 32.3085501859,
"line_max": 79,
"alpha_frac": 0.5272879464,
"autogenerated": false,
"ratio": 3.4224598930481283,
"co... |
from functools import partial
from itertools import product
from string import ascii_letters
import numpy as np
from pandas import (
Categorical,
DataFrame,
MultiIndex,
Series,
Timestamp,
date_range,
period_range,
)
import pandas.util.testing as tm
method_blacklist = {
"object": {
... | {
"repo_name": "toobaz/pandas",
"path": "asv_bench/benchmarks/groupby.py",
"copies": "1",
"size": "18203",
"license": "bsd-3-clause",
"hash": -4320618054754957300,
"line_mean": 27.9395866455,
"line_max": 88,
"alpha_frac": 0.5190902598,
"autogenerated": false,
"ratio": 3.3696778970751575,
"config... |
from functools import partial
from itertools import product
from django import forms
from django.core.exceptions import ValidationError
from django.db import transaction
from django.forms import BaseInlineFormSet
from django.forms.widgets import flatatt
from django.utils.encoding import force_text
from django.utils.ht... | {
"repo_name": "lab2112/pretix",
"path": "src/pretix/control/forms/__init__.py",
"copies": "1",
"size": "16923",
"license": "apache-2.0",
"hash": 8853770675807326000,
"line_mean": 40.7827160494,
"line_max": 112,
"alpha_frac": 0.5969743529,
"autogenerated": false,
"ratio": 4.471987315010571,
"con... |
from functools import partial
from itertools import product
import numpy as np
from scipy.optimize import OptimizeResult
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_less
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import asse... | {
"repo_name": "glouppe/scikit-optimize",
"path": "skopt/tests/test_common.py",
"copies": "1",
"size": "8198",
"license": "bsd-3-clause",
"hash": -9048855812515792000,
"line_mean": 36.6055045872,
"line_max": 77,
"alpha_frac": 0.5783117834,
"autogenerated": false,
"ratio": 3.403071814030718,
"con... |
from functools import partial
from itertools import product
import numpy as np
from tlz import curry
from ..base import tokenize
from ..utils import funcname
from .core import Array, normalize_chunks
from .utils import meta_from_array
def _parse_wrap_args(func, args, kwargs, shape):
if isinstance(shape, np.nda... | {
"repo_name": "ContinuumIO/dask",
"path": "dask/array/wrap.py",
"copies": "2",
"size": "4804",
"license": "bsd-3-clause",
"hash": -4105232491476505000,
"line_mean": 26.7687861272,
"line_max": 87,
"alpha_frac": 0.6117818485,
"autogenerated": false,
"ratio": 3.4461979913916787,
"config_test": fal... |
from functools import partial
from itertools import zip_longest
from math import floor
from operator import is_not
from django.contrib.postgres.fields import ArrayField
from django.core.exceptions import ValidationError
from django.db import models
from . import base
class RuneObjectBase(base.Stats, base.Quality, b... | {
"repo_name": "PeteAndersen/swarfarm",
"path": "bestiary/models/runes.py",
"copies": "1",
"size": "55214",
"license": "apache-2.0",
"hash": -4914527458287914000,
"line_mean": 41.4723076923,
"line_max": 148,
"alpha_frac": 0.5129858369,
"autogenerated": false,
"ratio": 3.3054358237547894,
"config... |
from functools import partial
from kivent_cython import GameSystem
from kivy.app import App
from kivy.clock import Clock
from kivy.properties import StringProperty
from kivy.uix.widget import Widget
from math import radians
from random import randint
import kivent_cython # import needed for kv to work!
class DebugPan... | {
"repo_name": "nightmarebadger/kivy-trying-out",
"path": "KivEnt/tutorials/4-physics-callback/main.py",
"copies": "1",
"size": "5529",
"license": "mit",
"hash": 1371928492169876200,
"line_mean": 28.8864864865,
"line_max": 78,
"alpha_frac": 0.5604991861,
"autogenerated": false,
"ratio": 3.71073825... |
from functools import partial
from kivy.app import App
from kivy.lang import Builder
from kivy.uix.boxlayout import BoxLayout
from kivy.utils import get_color_from_hex as to_rgba
from kivy.properties import (
BooleanProperty, DictProperty,
StringProperty, NumericProperty
)
from kivy.logger import Logger... | {
"repo_name": "Zenohm/mafiademonstration",
"path": "src/player.py",
"copies": "1",
"size": "5582",
"license": "mit",
"hash": -1711779030140454700,
"line_mean": 31.0804597701,
"line_max": 93,
"alpha_frac": 0.6184163382,
"autogenerated": false,
"ratio": 3.884481558803062,
"config_test": false,
... |
from functools import partial
from kivy.properties import ObjectProperty, StringProperty, OptionProperty
from kivy.uix.accordion import AccordionItem
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
from kivy.uix.gridlayout import GridLayout
from kivy.uix.modalview import ModalView
from kivy.... | {
"repo_name": "kived/kivy-designer",
"path": "designer/uix/playground_size_selector.py",
"copies": "1",
"size": "8430",
"license": "mit",
"hash": 6181774279963239000,
"line_mean": 34.4201680672,
"line_max": 79,
"alpha_frac": 0.534282325,
"autogenerated": false,
"ratio": 3.82486388384755,
"confi... |
from functools import partial
from kivy.properties import ObjectProperty, StringProperty, OptionProperty
from kivy.uix.accordion import AccordionItem
from kivy.uix.button import Button
from kivy.uix.gridlayout import GridLayout
from kivy.uix.modalview import ModalView
from kivy.uix.togglebutton import ToggleButton
cl... | {
"repo_name": "mohammadj22/kivy-designer",
"path": "designer/uix/playground_size_selector.py",
"copies": "4",
"size": "8095",
"license": "mit",
"hash": -59340151062976990,
"line_mean": 34.6607929515,
"line_max": 79,
"alpha_frac": 0.5460160593,
"autogenerated": false,
"ratio": 3.7880205896116053,
... |
from functools import partial
from .lexerconstants import HAS_ARGS, NUM_CONST, NUM_SIGN_CONST
from .stack import Stack
from .heap import Heap
from .ws_io import IO as ws_io
import sys
class Parser(object):
def __init__(self, tokens):
self.token_list = tokens
self.stack = Stack()
self.heap ... | {
"repo_name": "yasn77/whitepy",
"path": "whitepy/parser.py",
"copies": "1",
"size": "3610",
"license": "apache-2.0",
"hash": -4993445505638697000,
"line_mean": 32.4259259259,
"line_max": 74,
"alpha_frac": 0.491966759,
"autogenerated": false,
"ratio": 3.717816683831102,
"config_test": false,
"... |
from functools import partial
from locust import events
from statsd.timer import Timer as BaseTimer
from stuf import stuf
import statsd
class Timer(BaseTimer):
def send_raw(self, subname, ms):
'''Send the data to statsd via self.connection
:keyword subname: The subname to report the data to (app... | {
"repo_name": "whitmo/loadwarrior",
"path": "loadwarrior/statsdext.py",
"copies": "1",
"size": "2223",
"license": "bsd-2-clause",
"hash": 5790581802225346000,
"line_mean": 33.2,
"line_max": 90,
"alpha_frac": 0.6401259559,
"autogenerated": false,
"ratio": 3.4680187207488298,
"config_test": false... |
from functools import partial
from logging import getLogger
from threading import Thread
import os
import zlib
import signal
from zmq.eventloop.ioloop import IOLoop, install
from engine.utils.mathutils import random_id
from engine.utils.timeutils import milliseconds
class ProcessException(Exception):
def __init... | {
"repo_name": "kollad/turbo-ninja",
"path": "utils/process.py",
"copies": "1",
"size": "7587",
"license": "mit",
"hash": 7623930601043482000,
"line_mean": 27.8479087452,
"line_max": 119,
"alpha_frac": 0.602873336,
"autogenerated": false,
"ratio": 4.079032258064516,
"config_test": false,
"has_... |
from functools import partial
from logging import getLogger
from contextlib import suppress
from multiprocessing.pool import ThreadPool
from raptiformica.actions.slave import slave_machine
from raptiformica.shell.raptiformica import clean
from raptiformica.utils import load_json
log = getLogger(__name__)
def read_... | {
"repo_name": "vdloo/raptiformica",
"path": "raptiformica/actions/deploy.py",
"copies": "1",
"size": "4583",
"license": "mit",
"hash": 3403237994523287000,
"line_mean": 34.5271317829,
"line_max": 82,
"alpha_frac": 0.6500109099,
"autogenerated": false,
"ratio": 3.9238013698630136,
"config_test":... |
from functools import partial
from logging import getLogger
from django.conf import settings
from django.core.paginator import Paginator
from django.http import HttpResponseNotFound
from django.shortcuts import render
from redis.exceptions import ResponseError
from .utils import PY3
from .utils import LazySlicingIter... | {
"repo_name": "ionelmc/django-redisboard",
"path": "src/redisboard/views.py",
"copies": "1",
"size": "8372",
"license": "bsd-2-clause",
"hash": 1191330748191314000,
"line_mean": 28.0694444444,
"line_max": 82,
"alpha_frac": 0.5341614907,
"autogenerated": false,
"ratio": 3.8333333333333335,
"conf... |
from functools import partial
from logging import getLogger
from django.contrib import messages
from django.contrib.sites.models import Site
from django.core.cache import cache
from django.core.exceptions import ValidationError
from django.urls import NoReverseMatch
from django.utils.functional import cached_property
... | {
"repo_name": "rsalmaso/django-cms",
"path": "menus/menu_pool.py",
"copies": "1",
"size": "14606",
"license": "bsd-3-clause",
"hash": 7428805208692991000,
"line_mean": 38.5826558266,
"line_max": 95,
"alpha_frac": 0.6021498015,
"autogenerated": false,
"ratio": 4.313644418192558,
"config_test": f... |
from functools import partial
from logging import getLogger
from os.path import isdir, join
from raptiformica.settings import conf, Config
from raptiformica.shell.execute import run_command_print_ready, raise_failure_factory, log_success_factory
from raptiformica.shell.raptiformica import create_remote_raptiformica_c... | {
"repo_name": "vdloo/raptiformica",
"path": "raptiformica/shell/rsync.py",
"copies": "1",
"size": "5032",
"license": "mit",
"hash": -3857957405777932300,
"line_mean": 39.9105691057,
"line_max": 106,
"alpha_frac": 0.6641494436,
"autogenerated": false,
"ratio": 4.032051282051282,
"config_test": f... |
from functools import partial
from lxml.etree import ParseError
from nose.tools import eq_
from requests import RequestException
from _utils import RequestStub, ResponseStub, FunctionStub
from _utils import assert_http_redirect, assert_http_not_found
from ...server_app.handler.pypi_index_handler import PyPIIndexHandler... | {
"repo_name": "teamfruit/defend_against_fruit",
"path": "pypi_redirect/pypi_redirect/test/unit_tests/pypi_index_handler_test.py",
"copies": "1",
"size": "3321",
"license": "apache-2.0",
"hash": 6697571824741685000,
"line_mean": 27.6293103448,
"line_max": 77,
"alpha_frac": 0.6440831075,
"autogenerat... |
from functools import partial
from lxml import etree
from kivy import Logger
from kivy.animation import Animation
from kivy.properties import StringProperty, BooleanProperty
from kivy.clock import Clock
from tests.GUI.tools import execution_step, without_schedule_seconds
class Simulator(object):
TO_WAIT = 1
... | {
"repo_name": "RemuTeam/Remu",
"path": "project/tests/GUI/simulation.py",
"copies": "1",
"size": "7877",
"license": "mit",
"hash": -4706380895906011000,
"line_mean": 34.9680365297,
"line_max": 118,
"alpha_frac": 0.5961660531,
"autogenerated": false,
"ratio": 3.8330900243309003,
"config_test": f... |
from functools import partial
from math import log, exp, sqrt
class memoize_inst_meth(object):
"""cache the return value of a method
This class is meant to be used as a decorator of methods. The return value
from a given method invocation will be cached on the instance whose method
was invoked. All ar... | {
"repo_name": "SsnL/amcmc",
"path": "utils/utils.py",
"copies": "1",
"size": "1573",
"license": "mit",
"hash": 3167870545995790300,
"line_mean": 28.679245283,
"line_max": 78,
"alpha_frac": 0.5880483153,
"autogenerated": false,
"ratio": 3.7995169082125604,
"config_test": false,
"has_no_keyword... |
from functools import partial
from math import radians
from typing import (Callable,
Tuple)
# TODO: sort out the mess with numpy and/or pandas
import numpy as np
import pandas as pd
SOLAR_ABSOLUTE_BOLOMETRIC_MAGNITUDE = 4.75
DEC_GPOLE = radians(27.128336)
RA_GPOLE = radians(192.859508)
AUX_ANGLE =... | {
"repo_name": "wolvespack/alcor",
"path": "alcor/services/plots/utils.py",
"copies": "2",
"size": "2132",
"license": "mit",
"hash": -3468727625067533000,
"line_mean": 40.8039215686,
"line_max": 79,
"alpha_frac": 0.5844277674,
"autogenerated": false,
"ratio": 3.2699386503067487,
"config_test": f... |
from functools import partial
from maya import cmds
from maya import mel
import os
import miUvUtils
import commands
reload(commands)
reload(miUvUtils)
class MiUV(object):
def __init__(self):
self.windowName = "CustomUvEditor"
if cmds.window(self.windowName, q=True, exists=True) is True:
... | {
"repo_name": "minoue/miUV",
"path": "miUV.py",
"copies": "1",
"size": "16517",
"license": "mit",
"hash": 309318118403127940,
"line_mean": 34.5969827586,
"line_max": 166,
"alpha_frac": 0.5352061512,
"autogenerated": false,
"ratio": 3.9223462360484445,
"config_test": false,
"has_no_keywords": ... |
from functools import partial
from menpobench.config import resolve_cache_dir
from menpobench.managed import WebSource, MENPO_CDN_URL, managed_asset
from menpobench.utils import create_path, extract_archive
MENPO_CDN_DATASET_URL = MENPO_CDN_URL + 'datasets/'
MENPO_GITHUB_URL_TEMPLATE = 'https://github.com/menpo/{name}... | {
"repo_name": "nontas/menpobench",
"path": "menpobench/dataset/managed.py",
"copies": "2",
"size": "3967",
"license": "bsd-3-clause",
"hash": 5874648983486375000,
"line_mean": 35.7314814815,
"line_max": 103,
"alpha_frac": 0.690446181,
"autogenerated": false,
"ratio": 3.5419642857142857,
"config... |
from functools import partial
from menpo.shape.pointcloud import PointCloud
from menpofit.builder import compute_reference_shape
from menpofit.builder import rescale_images_to_reference_shape
from menpofit.fitter import (noisy_shape_from_bounding_box,
align_shape_with_bounding_box)
from pat... | {
"repo_name": "trigeorgis/mdm",
"path": "data_provider.py",
"copies": "1",
"size": "11900",
"license": "bsd-3-clause",
"hash": -7535956031189412000,
"line_mean": 34.5223880597,
"line_max": 96,
"alpha_frac": 0.6125210084,
"autogenerated": false,
"ratio": 3.644716692189893,
"config_test": false,
... |
from functools import partial
from mimetypes import guess_type
from os import path
from urllib.parse import quote_plus
from aiofiles import open as open_async
from multidict import CIMultiDict
from sanic.cookies import CookieJar
from sanic.helpers import STATUS_CODES, has_message_body, remove_entity_headers
try:
... | {
"repo_name": "lixxu/sanic",
"path": "sanic/response.py",
"copies": "1",
"size": "12676",
"license": "mit",
"hash": -8688221657318452000,
"line_mean": 27.874715262,
"line_max": 79,
"alpha_frac": 0.5775481224,
"autogenerated": false,
"ratio": 4.0602178090967325,
"config_test": false,
"has_no_k... |
from functools import partial
from mkcrowbar import zypper
from fake import LocalCommand, LocalCommands, expect_args, return_ok
def stub_cmd(required, *args):
cmd = LocalCommand('zypper', expect_args(required, return_ok()))
cmd[args]
return cmd
def test_cmd(monkeypatch):
local = LocalCommands()
... | {
"repo_name": "felixsch/mkcrowbar",
"path": "tests/test_zypper.py",
"copies": "1",
"size": "2234",
"license": "apache-2.0",
"hash": -6181761813278891000,
"line_mean": 28.3947368421,
"line_max": 104,
"alpha_frac": 0.6629364369,
"autogenerated": false,
"ratio": 3.1464788732394364,
"config_test": ... |
from functools import partial
from mongoengine.queryset.queryset import QuerySet
__all__ = ('queryset_manager', 'QuerySetManager')
class QuerySetManager(object):
"""
The default QuerySet Manager.
Custom QuerySet Manager functions can extend this class and users can
add extra queryset functionality. ... | {
"repo_name": "9nix00/mongoengine",
"path": "mongoengine/queryset/manager.py",
"copies": "44",
"size": "2230",
"license": "mit",
"hash": 1915849601356725000,
"line_mean": 38.1228070175,
"line_max": 79,
"alpha_frac": 0.6730941704,
"autogenerated": false,
"ratio": 4.645833333333333,
"config_test"... |
from functools import partial
from multiprocessing import Pool
from multiprocessing.dummy import Pool as ThreadPool
import requests
import bs4
BS = partial(bs4.BeautifulSoup, features='html.parser')
class UrlGetter(object):
instance = None
single_page_instance = None
@staticmethod
def get_instance(... | {
"repo_name": "hronecviktor/reality_parse",
"path": "rparse.py",
"copies": "1",
"size": "1760",
"license": "mit",
"hash": -6608139471875193000,
"line_mean": 34.2,
"line_max": 120,
"alpha_frac": 0.65,
"autogenerated": false,
"ratio": 3.52,
"config_test": false,
"has_no_keywords": false,
"few... |
from functools import partial
from multiprocessing import Pool
import numpy as np
import cv2
try:
import cv_gpu
use_gpu = True
except ImportError:
use_gpu = False
# From Programming Computer Vision in Python
# some constants and default parameters
lk_params = dict(winSize=(15, 15), maxLevel=2,
... | {
"repo_name": "vrdabomb5717/COMS_W4731_Final_Project",
"path": "lktrack.py",
"copies": "1",
"size": "6263",
"license": "mit",
"hash": -9178224089871675000,
"line_mean": 33.6022099448,
"line_max": 95,
"alpha_frac": 0.5422321571,
"autogenerated": false,
"ratio": 3.576813249571673,
"config_test": ... |
from functools import partial
from multiprocessing.pool import ThreadPool
from skimage import measure
import multiprocessing
import itertools
import numpy as np
import time
from . import progress, stl
WORKERS = multiprocessing.cpu_count()
SAMPLES = 2 ** 22
BATCH_SIZE = 32
def _marching_cubes(volume, level=0):
v... | {
"repo_name": "fogleman/sdf",
"path": "sdf/mesh.py",
"copies": "1",
"size": "6893",
"license": "mit",
"hash": -2529376324084737000,
"line_mean": 27.366255144,
"line_max": 79,
"alpha_frac": 0.5066008995,
"autogenerated": false,
"ratio": 2.6665377176015475,
"config_test": false,
"has_no_keyword... |
from functools import partial
from nltk import word_tokenize, tokenize
from pprint import pprint
import operator
import json
import random
from docopt import docopt
from goalexp import Goal
version = "0.0.1"
cmdline = """
Generates useful info from raw text or from previous session.
Usage:
structure [<filename>]
... | {
"repo_name": "marto1/sdre",
"path": "structure.py",
"copies": "1",
"size": "4961",
"license": "isc",
"hash": -1000164860428973200,
"line_mean": 23.5594059406,
"line_max": 73,
"alpha_frac": 0.5537190083,
"autogenerated": false,
"ratio": 3.7356927710843375,
"config_test": false,
"has_no_keywor... |
from functools import partial
from nose.tools import assert_raises
from syn.base_utils import compose
from syn.python.b import Statement, from_source, from_ast, Pass, Num, Name, \
Assign, Return, ProgN, Module, Alias, Import, Break, Continue
mparse = compose(partial(from_source, mode='exec'), str)
#--------------... | {
"repo_name": "mbodenhamer/syn",
"path": "syn/python/b/tests/test_statements.py",
"copies": "1",
"size": "3662",
"license": "mit",
"hash": -7742579217029413000,
"line_mean": 28.5322580645,
"line_max": 80,
"alpha_frac": 0.4486619334,
"autogenerated": false,
"ratio": 3.7405515832482124,
"config_t... |
from functools import partial
from nose.tools import eq_
from os import path
from threading import Thread
from time import sleep, time
from unittest import main, TestCase
from spacq.devices.config import DeviceConfig
from spacq.interface.pulse.program import Program
from spacq.interface.resources import Resource
from ... | {
"repo_name": "0/SpanishAcquisition",
"path": "spacq/iteration/tests/test_sweep.py",
"copies": "1",
"size": "9768",
"license": "bsd-2-clause",
"hash": -3811004133289965600,
"line_mean": 27.4781341108,
"line_max": 113,
"alpha_frac": 0.6401515152,
"autogenerated": false,
"ratio": 2.7163515016685205... |
from functools import partial
from nose.tools import eq_
def _validate_content_type(expected_type, result):
eq_(result.headers['Content-Type'], expected_type)
def _validate_content_length(expected_length, result):
eq_(int(result.headers['content-length']), expected_length)
def _validate_md5(expected_md5, ... | {
"repo_name": "teamfruit/defend_against_fruit",
"path": "pypi_redirect/pypi_redirect_integration/tests/_assertion_helper.py",
"copies": "1",
"size": "2900",
"license": "apache-2.0",
"hash": -3818745949007112000,
"line_mean": 31.5842696629,
"line_max": 73,
"alpha_frac": 0.684137931,
"autogenerated":... |
from functools import partial
from nose.tools import *
import unittest
import pandas as pd
import numpy as np
import six
import py_entitymatching.feature.tokenizers as tok
class TokenizerTestCases(unittest.TestCase):
def test_get_global_tokenizers(self):
x = tok._global_tokenizers
def test_get_tokeni... | {
"repo_name": "anhaidgroup/py_entitymatching",
"path": "py_entitymatching/tests/test_feature_tokenizers.py",
"copies": "1",
"size": "2542",
"license": "bsd-3-clause",
"hash": -6761037949009006000,
"line_mean": 32.012987013,
"line_max": 66,
"alpha_frac": 0.6506687648,
"autogenerated": false,
"rati... |
from functools import partial
from operator import add, methodcaller
import numpy
import FIAT
import gem
from gem.utils import cached_property
from finat.finiteelementbase import FiniteElementBase
class EnrichedElement(FiniteElementBase):
"""A finite element whose basis functions are the union of the
basi... | {
"repo_name": "FInAT/FInAT",
"path": "finat/enriched.py",
"copies": "1",
"size": "6044",
"license": "mit",
"hash": 2784746841456592400,
"line_mean": 34.9761904762,
"line_max": 101,
"alpha_frac": 0.600099272,
"autogenerated": false,
"ratio": 4.398835516739447,
"config_test": false,
"has_no_key... |
from functools import partial
from operator import attrgetter, itemgetter
from pathlib import Path
from random import randint
import jinja2
import ujson
from aiohttp.web import Response, json_response
from sqlalchemy import select
from .models import sa_fortunes, sa_worlds, Fortune, World
json_response = partial(jso... | {
"repo_name": "lneves/FrameworkBenchmarks",
"path": "frameworks/Python/aiohttp/app/views.py",
"copies": "3",
"size": "4758",
"license": "bsd-3-clause",
"hash": 6980382488958874000,
"line_mean": 27.4910179641,
"line_max": 94,
"alpha_frac": 0.6252627154,
"autogenerated": false,
"ratio": 3.662817551... |
from functools import partial
from operator import attrgetter, itemgetter
from random import randint
from email.utils import formatdate
import os
import sys
from bottle import Bottle, route, request, run, template, response
from bottle.ext import sqlalchemy
from sqlalchemy import create_engine, Column, Integer, Unico... | {
"repo_name": "actframework/FrameworkBenchmarks",
"path": "frameworks/Python/bottle/app.py",
"copies": "22",
"size": "6537",
"license": "bsd-3-clause",
"hash": -8701602800693640000,
"line_mean": 30.7330097087,
"line_max": 112,
"alpha_frac": 0.6565702922,
"autogenerated": false,
"ratio": 3.4387164... |
from functools import partial
from operator import attrgetter, itemgetter
from random import randint
import os
import sys
from bottle import Bottle, route, request, run, template, response
from bottle.ext import sqlalchemy
from sqlalchemy import create_engine, Column, Integer, Unicode
from sqlalchemy.ext.declarative ... | {
"repo_name": "martin-g/FrameworkBenchmarks",
"path": "frameworks/Python/bottle/app.py",
"copies": "58",
"size": "5667",
"license": "bsd-3-clause",
"hash": -8013717442965961000,
"line_mean": 28.0615384615,
"line_max": 112,
"alpha_frac": 0.6419622375,
"autogenerated": false,
"ratio": 3.45759609517... |
from functools import partial
from operator import attrgetter
import os
from random import randint
import sys
import json
from jinja2 import Environment, PackageLoader
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from tg import expose, TGController, AppConfig
from model... | {
"repo_name": "jebbstewart/FrameworkBenchmarks",
"path": "frameworks/Python/turbogears/app.py",
"copies": "51",
"size": "2684",
"license": "bsd-3-clause",
"hash": 4396387257624442000,
"line_mean": 27.5531914894,
"line_max": 111,
"alpha_frac": 0.6516393443,
"autogenerated": false,
"ratio": 3.65667... |
from functools import partial
from operator import eq, ne
IRRELEVANT = object()
class ChangeWatcher(object):
POSTCONDITION_FAILURE_MESSAGE = {
ne: 'Value did not change',
eq: 'Value changed from {before} to {after}',
'invalid': 'Value changed to {after}, not {expected_after}'
}
... | {
"repo_name": "gterzian/exam",
"path": "exam/asserts.py",
"copies": "3",
"size": "2077",
"license": "mit",
"hash": -5710107327512687000,
"line_mean": 30.4696969697,
"line_max": 79,
"alpha_frac": 0.6340876264,
"autogenerated": false,
"ratio": 3.9411764705882355,
"config_test": false,
"has_no_k... |
from functools import partial
from operator import eq
from typing import Any
import pytest # type: ignore
from basic_utils.dict_helpers import (
filter_keys,
filter_values,
get_in_dict,
get_keys,
prune_dict,
set_in_dict
)
from basic_utils.primitives import even
@pytest.mark.parametrize("dat... | {
"repo_name": "Jackevansevo/basic-utils",
"path": "tests/test_dict_helpers.py",
"copies": "1",
"size": "2153",
"license": "mit",
"hash": -2518121011230166000,
"line_mean": 31.1343283582,
"line_max": 78,
"alpha_frac": 0.5234556433,
"autogenerated": false,
"ratio": 2.7496807151979565,
"config_tes... |
from functools import partial
from operator import getitem, setitem
from typing import Any, Callable, NamedTuple, Optional
class Field(NamedTuple):
source: Optional[str] = None
field: Optional['Field'] = None
getter: Optional[Callable] = None
setter: Optional[Callable] = None
loader: Callable = la... | {
"repo_name": "c6401/python-blocks",
"path": "blocks/mapping.py",
"copies": "1",
"size": "1461",
"license": "mit",
"hash": -9164484323475303000,
"line_mean": 26.5660377358,
"line_max": 70,
"alpha_frac": 0.5920602327,
"autogenerated": false,
"ratio": 4.115492957746479,
"config_test": false,
"h... |
from functools import partial
from operator import itemgetter
from ubuntui.ev import EventLoop
from ubuntui.utils import Color, Padding
from ubuntui.widgets.buttons import menu_btn
from urwid import Columns, Filler, Frame, Pile, Text, WidgetWrap
class DestroyView(WidgetWrap):
def __init__(self, app, models, cb)... | {
"repo_name": "ubuntu/conjure-up",
"path": "conjureup/ui/views/destroy.py",
"copies": "3",
"size": "3733",
"license": "mit",
"hash": 7332558836088061000,
"line_mean": 34.8942307692,
"line_max": 73,
"alpha_frac": 0.4813822663,
"autogenerated": false,
"ratio": 4.61433868974042,
"config_test": fal... |
from functools import partial
from operator import methodcaller
from django.core.exceptions import ImproperlyConfigured
from django.db import models
from django.db.models.query import ModelIterable
type_cast_iterator = partial(map, methodcaller('type_cast'))
type_cast_prefetch_iterator = partial(map, methodcaller('ty... | {
"repo_name": "charettes/django-polymodels",
"path": "polymodels/managers.py",
"copies": "1",
"size": "4084",
"license": "mit",
"hash": -5534211559819731000,
"line_mean": 41.1030927835,
"line_max": 99,
"alpha_frac": 0.624632713,
"autogenerated": false,
"ratio": 4.715935334872979,
"config_test":... |
from functools import partial
from operator import methodcaller
try:
from itertools import chain
from itertools import ifilter
from itertools import imap
except ImportError:
imap = map
ifilter = filter
import os
from iter_karld_tools import i_batch
from iter_karld_tools import yield_nth_of
from ... | {
"repo_name": "johnwlockwood/karl_data",
"path": "karld/run_together.py",
"copies": "1",
"size": "8490",
"license": "apache-2.0",
"hash": 964248192798779400,
"line_mean": 32.557312253,
"line_max": 80,
"alpha_frac": 0.6389870436,
"autogenerated": false,
"ratio": 3.8277727682596936,
"config_test"... |
from functools import partial
from ophyd.sim import motor1, motor2
RE.clear_suspenders()
# here is what we used to figure out how to prime the detector before we
# stripped it down
def hf2dxrf_test(*, xstart, xnumstep, xstepsize,
ystart, ynumstep, ystepsize,
#wait=None, simulate=Fal... | {
"repo_name": "NSLS-II-SRX/ipython_ophyd",
"path": "profile_xf05id1/tests/test_priming_old.py",
"copies": "1",
"size": "5070",
"license": "bsd-2-clause",
"hash": -7693613479316920000,
"line_mean": 36.8358208955,
"line_max": 134,
"alpha_frac": 0.63234714,
"autogenerated": false,
"ratio": 3.3355263... |
from functools import partial
from os import environ
from shlex import quote
from subprocess import Popen, PIPE
from logging import getLogger
from sys import stdout
from threading import Timer
from contextlib import contextmanager
from raptiformica.settings import conf
log = getLogger(__name__)
COMMAND_TIMEOUT = 12... | {
"repo_name": "vdloo/raptiformica",
"path": "raptiformica/shell/execute.py",
"copies": "1",
"size": "18161",
"license": "mit",
"hash": -4824745419633049000,
"line_mean": 41.2348837209,
"line_max": 111,
"alpha_frac": 0.6745773911,
"autogenerated": false,
"ratio": 4.319933396764986,
"config_test"... |
from functools import partial
from os import environ
from invocations import travis
from invocations.checks import blacken
from invocations.docs import docs, www, sites, watch_docs
from invocations.pytest import test, integration as integration_, coverage
from invocations.packaging import release
from invocations.util... | {
"repo_name": "fabric/fabric",
"path": "tasks.py",
"copies": "1",
"size": "3716",
"license": "bsd-2-clause",
"hash": -589021143419219700,
"line_mean": 29.9666666667,
"line_max": 79,
"alpha_frac": 0.6412809473,
"autogenerated": false,
"ratio": 3.8388429752066116,
"config_test": true,
"has_no_k... |
from functools import partial
from os import getcwd
import pdb
import sys
from warnings import warn
from nose.plugins import Plugin
from noseprogressive.runner import ProgressiveRunner
from noseprogressive.tracebacks import DEFAULT_EDITOR_SHORTCUT_TEMPLATE
from noseprogressive.wrapping import cmdloop, set_trace, Stre... | {
"repo_name": "veo-labs/nose-progressive",
"path": "noseprogressive/plugin.py",
"copies": "4",
"size": "10478",
"license": "mit",
"hash": -8494470440132122000,
"line_mean": 49.375,
"line_max": 84,
"alpha_frac": 0.5355029586,
"autogenerated": false,
"ratio": 4.804218248509858,
"config_test": tru... |
from functools import partial
from os import getcwd
import pdb
import sys
from nose.plugins import Plugin
from noseprogressive.runner import ProgressiveRunner
from noseprogressive.wrapping import cmdloop, set_trace, StreamWrapper
class ProgressivePlugin(Plugin):
"""A nose plugin which has a progress bar and for... | {
"repo_name": "enkiv2/popcorn_maker",
"path": "vendor-local/lib/python/noseprogressive/plugin.py",
"copies": "3",
"size": "9303",
"license": "bsd-3-clause",
"hash": 468756564662518700,
"line_mean": 48.4840425532,
"line_max": 84,
"alpha_frac": 0.5354186821,
"autogenerated": false,
"ratio": 4.80030... |
from functools import partial
from os import makedirs
from os.path import dirname, join as pjoin, realpath
import numpy as np
from pyradigm import (ClassificationDataset as ClfDataset, MultiDatasetClassify,
MultiDatasetRegress, RegressionDataset as RegrDataset)
from pyradigm.utils import (datase... | {
"repo_name": "raamana/pyradigm",
"path": "pyradigm/tests/test_MultiDataset.py",
"copies": "1",
"size": "4507",
"license": "mit",
"hash": -7255523337245605000,
"line_mean": 35.9426229508,
"line_max": 90,
"alpha_frac": 0.5810960728,
"autogenerated": false,
"ratio": 3.6642276422764226,
"config_te... |
from functools import partial
from os import path
from django.conf.urls import include, url
from django.conf.urls.i18n import i18n_patterns
from django.utils.translation import gettext_lazy as _
from django.views import defaults, i18n, static
from . import views
base_dir = path.dirname(path.abspath(__file__))
media_... | {
"repo_name": "camilonova/django",
"path": "tests/view_tests/urls.py",
"copies": "7",
"size": "3556",
"license": "bsd-3-clause",
"hash": 1194942756119306500,
"line_mean": 32.2336448598,
"line_max": 104,
"alpha_frac": 0.6507311586,
"autogenerated": false,
"ratio": 3.03154305200341,
"config_test"... |
from functools import partial
from os import path
from flask import abort, current_app
from notifications_utils.formatters import strip_whitespace
from notifications_utils.recipients import RecipientCSV
from notifications_utils.timezones import utc_string_to_aware_gmt_datetime
from werkzeug.utils import cached_propert... | {
"repo_name": "alphagov/notifications-admin",
"path": "app/models/contact_list.py",
"copies": "1",
"size": "4759",
"license": "mit",
"hash": -6741668659439992000,
"line_mean": 26.6686046512,
"line_max": 77,
"alpha_frac": 0.6024374869,
"autogenerated": false,
"ratio": 3.8691056910569106,
"config... |
from functools import partial
from os import path
class LinuxCpuTemperatureReader():
files = [
'/sys/devices/LNXSYSTM:00/LNXTHERM:00/LNXTHERM:01/thermal_zone/temp',
'/sys/bus/acpi/devices/LNXTHERM:00/thermal_zone/temp',
'/proc/acpi/thermal_zone/THM0/temperature',
'/proc/acpi/therma... | {
"repo_name": "uzumaxy/pyspectator",
"path": "pyspectator/temperature_reader.py",
"copies": "1",
"size": "1884",
"license": "bsd-3-clause",
"hash": -6962041354935885000,
"line_mean": 29.3870967742,
"line_max": 77,
"alpha_frac": 0.5891719745,
"autogenerated": false,
"ratio": 3.966315789473684,
"... |
from functools import partial
from os.path import join, expanduser
from unittest.mock import MagicMock
import uuid
from genty import genty, genty_dataset, genty_args
from app.subcommands.deploy_subcommand import DeploySubcommand
from app.util.network import Network
from test.framework.base_unit_test_case import BaseU... | {
"repo_name": "box/ClusterRunner",
"path": "test/unit/subcommands/test_deploy_subcommand.py",
"copies": "1",
"size": "9609",
"license": "apache-2.0",
"hash": 3232647974515858400,
"line_mean": 43.4861111111,
"line_max": 116,
"alpha_frac": 0.6032885836,
"autogenerated": false,
"ratio": 3.7711930926... |
from functools import partial
from os.path import join
from kivy.uix.scrollview import ScrollView
from designer.utils import constants
from designer.utils.utils import get_kd_data_dir
from kivy.factory import Factory
from kivy.properties import ObjectProperty
from kivy.uix.boxlayout import BoxLayout
NEW_PROJECTS = ... | {
"repo_name": "aron-bordin/kivy-designer",
"path": "designer/components/dialogs/new_project.py",
"copies": "2",
"size": "5582",
"license": "mit",
"hash": -916347915262550000,
"line_mean": 36.2133333333,
"line_max": 79,
"alpha_frac": 0.6313149409,
"autogenerated": false,
"ratio": 3.956059532246633... |
from functools import partial
from os.path import join
from pythonforandroid.toolchain import Recipe, shprint, current_directory
import sh
class OpenSSLRecipe(Recipe):
version = '1.0.2h'
url = 'https://www.openssl.org/source/openssl-{version}.tar.gz'
def should_build(self, arch):
return not self... | {
"repo_name": "wexi/python-for-android",
"path": "pythonforandroid/recipes/openssl/__init__.py",
"copies": "1",
"size": "2738",
"license": "mit",
"hash": -6950994870275438000,
"line_mean": 37.5633802817,
"line_max": 94,
"alpha_frac": 0.5624543462,
"autogenerated": false,
"ratio": 3.57908496732026... |
from functools import partial
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn.apionly as sns
from ..analysis.csv_analysis import analyze_data, load_surveys
from ..data.survey_utils import ExperimentType
from .latexify import latexify, figure, fig_size
fro... | {
"repo_name": "masasin/spirit",
"path": "src/visualization/plot_thesis.py",
"copies": "1",
"size": "13531",
"license": "mit",
"hash": -8634962383404471000,
"line_mean": 42.0923566879,
"line_max": 80,
"alpha_frac": 0.5411277807,
"autogenerated": false,
"ratio": 3.2754780924715567,
"config_test":... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.