text stringlengths 0 1.05M | meta dict |
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from functools import reduce
from math import factorial
import click
__doc__ = """See https://jtara1.github.io/bernoulli.html
for an updated Bernoulli Trials Calc"""
@click.command()
@click.argument('trials', type=click.INT)
@click.argument('prob_of_success', type=click.FLOAT)
def bernoulli_trials(trials, prob_of_su... | {
"repo_name": "jtara1/MiscScripts",
"path": "misc_scripts/bernoulli_trials.py",
"copies": "1",
"size": "1406",
"license": "apache-2.0",
"hash": -4447280046224225300,
"line_mean": 32.4761904762,
"line_max": 80,
"alpha_frac": 0.5889046942,
"autogenerated": false,
"ratio": 3.6330749354005167,
"con... |
from functools import reduce
from math import fmod
from .. import Provider as SsnProvider
def zfix(d):
if d < 10:
return "0" + str(d)
else:
return d
class Provider(SsnProvider):
def ssn(self, dob=None, gender=None):
"""
Generates Hungarian SSN equivalent (személyazonosít... | {
"repo_name": "joke2k/faker",
"path": "faker/providers/ssn/hu_HU/__init__.py",
"copies": "1",
"size": "4300",
"license": "mit",
"hash": 5943084309570857000,
"line_mean": 29.7769784173,
"line_max": 112,
"alpha_frac": 0.4513791491,
"autogenerated": false,
"ratio": 3.6879310344827587,
"config_test... |
from functools import reduce
from math import frexp
import psutil
import time
import os
byte_names = 'KMGTPEZY'
def bytes_for_humans(byte_count: int):
# Get power of two directly from floating point exponent bits (mantissa)
power_of_2 = frexp(byte_count)[1] - 1
binary_multiple = power_of_2 // 10
# If... | {
"repo_name": "JohnStarich/python-pool-performance",
"path": "utils.py",
"copies": "1",
"size": "3481",
"license": "mit",
"hash": -805992299645185500,
"line_mean": 29.2695652174,
"line_max": 79,
"alpha_frac": 0.6176386096,
"autogenerated": false,
"ratio": 3.6260416666666666,
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from functools import reduce
from math import sqrt, log
from random import randint, getrandbits
# from matplotlib import pyplot as plt
from time import time
__author__ = 'Roland'
def product(l):
rez = 1
for a in l:
rez *= a
return rez
def lcm(l):
return product(l) // reduce(gcd, l, max(l))
... | {
"repo_name": "rolisz/hw3",
"path": "Crypto/labs/l4/factorization.py",
"copies": "1",
"size": "2500",
"license": "bsd-3-clause",
"hash": 4584868555468568000,
"line_mean": 21.9357798165,
"line_max": 113,
"alpha_frac": 0.4676,
"autogenerated": false,
"ratio": 3.1446540880503147,
"config_test": fa... |
from functools import reduce
from .models import PublicationStatus
from django_orghierarchy.models import Organization
class UserModelPermissionMixin:
"""Permission mixin for user models
A mixin class that provides permission check methods
for user models.
"""
def is_admin(self, publisher):
... | {
"repo_name": "City-of-Helsinki/linkedevents",
"path": "events/permissions.py",
"copies": "1",
"size": "2993",
"license": "mit",
"hash": 6197366422804372000,
"line_mean": 44.3484848485,
"line_max": 113,
"alpha_frac": 0.6819244905,
"autogenerated": false,
"ratio": 4.493993993993994,
"config_test... |
from functools import reduce
from mpi4py import MPI
from itertools import islice
from datetime import datetime as time
import logging
from collections import defaultdict
from decomposer import Decomposer
class MapReduce(object):
def __init__(self, mapper, reducer, communicator=None, subsample=1, shuffler=None, p... | {
"repo_name": "UCL-dataspring/cluster-code",
"path": "bluclobber/harness/mapreduce.py",
"copies": "1",
"size": "3829",
"license": "mit",
"hash": -6612310923042427000,
"line_mean": 36.5392156863,
"line_max": 111,
"alpha_frac": 0.5917994254,
"autogenerated": false,
"ratio": 4.16195652173913,
"con... |
from functools import reduce
from operator import add
from fca.context import Context
from fuzzy.fca.fuzzy_context import FuzzyContext
## Search result -> context
def getContextFromSR(documents, terms, relation, maxKeywords):
keywords = [x['keywords'][:maxKeywords] for x in documents]
keywords = [[y[0] for y in x] ... | {
"repo_name": "havrlant/fca-search",
"path": "src/fca_extension/utilities.py",
"copies": "1",
"size": "2154",
"license": "bsd-2-clause",
"hash": -9062217105849639000,
"line_mean": 24.6547619048,
"line_max": 88,
"alpha_frac": 0.7028783658,
"autogenerated": false,
"ratio": 3.2537764350453173,
"co... |
from functools import reduce
from operator import add
from pygame.math import Vector2 as V2
import pygame as pg, os
from src.display.tkinter_windows import create_menu
from src.core import constants
def init_display():
pg.init()
info = pg.display.Info()
dims = (int(info.current_w * 0.6), int(info.current... | {
"repo_name": "rschwa6308/Physics-2.0",
"path": "Physics 2.0.py",
"copies": "1",
"size": "8393",
"license": "mit",
"hash": -6545692374609549000,
"line_mean": 43.4074074074,
"line_max": 126,
"alpha_frac": 0.5721434529,
"autogenerated": false,
"ratio": 3.6270527225583407,
"config_test": false,
... |
from functools import reduce
from operator import add
import numpy as np
import sym
# Real-life example (ion speciation problem in water chemistry)
_ref = np.array([37.252574322668998, 22.321937961124899, 10.9011158998744,
20.190422234652999, 27.8679190043357, 33.933606208922598,
33.... | {
"repo_name": "bjodah/sym",
"path": "benchmarks/benchmarks/Lambdify.py",
"copies": "1",
"size": "5088",
"license": "bsd-2-clause",
"hash": -104008510235055380,
"line_mean": 36.6888888889,
"line_max": 125,
"alpha_frac": 0.5123820755,
"autogenerated": false,
"ratio": 2.4723032069970845,
"config_t... |
from functools import reduce
from operator import add
import re
from typing import Any, List, Dict, Set, Tuple, Optional
from werkzeug.datastructures import ImmutableOrderedMultiDict
EMAIL_REGEX = r'^[^@^\s]+@[^@^\.^\s]+(\.[^@^\.^\s]+)+$'
def get_validator(framework, content, answers):
"""
Retrieves a valid... | {
"repo_name": "alphagov/digitalmarketplace-supplier-frontend",
"path": "app/main/helpers/validation.py",
"copies": "1",
"size": "14230",
"license": "mit",
"hash": 1957619954695075300,
"line_mean": 40.2463768116,
"line_max": 119,
"alpha_frac": 0.628531272,
"autogenerated": false,
"ratio": 3.751647... |
from functools import reduce
from operator import add
from strategies import condition, do_one, exhaust
from ...core import Add, Expr, sympify
from ...core.logic import _fuzzy_group
from ...core.strategies import flatten, glom, rm_id, sort, unpack
from ...functions import adjoint
from ...utilities import default_sort... | {
"repo_name": "skirpichev/omg",
"path": "diofant/matrices/expressions/matadd.py",
"copies": "1",
"size": "3262",
"license": "bsd-3-clause",
"hash": 5121473153398543000,
"line_mean": 25.096,
"line_max": 71,
"alpha_frac": 0.5717351318,
"autogenerated": false,
"ratio": 3.4591728525980914,
"config_... |
from functools import reduce
from operator import and_
from operator import or_
from django.db import models
from django.db.models import Q
__all__ = [
'LookupManager',
'LookupManagerMixin',
'OrderedSearchManager',
'OrderedSearchManagerMixin',
'SearchManager',
'SearchManagerMixin',
]
class ... | {
"repo_name": "jleeothon/inquisition",
"path": "inquisition/managers.py",
"copies": "1",
"size": "2489",
"license": "mit",
"hash": 8629245437145161000,
"line_mean": 28.9879518072,
"line_max": 78,
"alpha_frac": 0.6508638007,
"autogenerated": false,
"ratio": 4.1072607260726075,
"config_test": fal... |
from functools import reduce
from operator import and_, or_
from common.funcfun import lmap
from retrieval.boolean_parser import Node
import shelve
from other.constants import INDEX_FOLDER_NAME, DOCUMENT_INFO_NAME, INFO_FOLDER_NAME, STEMSDICT_NAME,\
KEYWORDSINDOCUMENTS_NAME, SCORES_TABLE
from retrieval.stem import Ste... | {
"repo_name": "havrlant/fca-search",
"path": "src/retrieval/index.py",
"copies": "1",
"size": "3978",
"license": "bsd-2-clause",
"hash": -1280858361503991600,
"line_mean": 27.4214285714,
"line_max": 101,
"alpha_frac": 0.7099044746,
"autogenerated": false,
"ratio": 3.0647149460708785,
"config_te... |
from functools import reduce
from operator import getitem
from inspect import getdoc
from werkzeug.exceptions import NotFound
from yggdrasil.record import Record
from . import Page
class Root(Page):
def __init__(self, urlmap):
self.urlmap = urlmap
def render_rule(self, request, rule):
resul... | {
"repo_name": "Evgenus/yggdrasil",
"path": "yggdrasil/app/pages/root.py",
"copies": "1",
"size": "1356",
"license": "mit",
"hash": -106253939665195860,
"line_mean": 24.6037735849,
"line_max": 78,
"alpha_frac": 0.6091445428,
"autogenerated": false,
"ratio": 4.490066225165563,
"config_test": fals... |
from functools import reduce
from operator import getitem
from typing import Any, Callable, Sequence, Tuple
from basic_utils.seq_helpers import butlast, last
__all__ = [
'get_in_dict',
'get_keys',
'prune_dict',
'set_in_dict',
]
def get_keys(d: dict, keys: Sequence[Any], default: Callable=None) -> Tu... | {
"repo_name": "Jackevansevo/basic-utils",
"path": "basic_utils/dict_helpers.py",
"copies": "1",
"size": "1903",
"license": "mit",
"hash": 4739013772402712000,
"line_mean": 23.0886075949,
"line_max": 76,
"alpha_frac": 0.5496584341,
"autogenerated": false,
"ratio": 3.0792880258899675,
"config_tes... |
from functools import reduce
from operator import getitem
from werkzeug.exceptions import HTTPException, NotFound
from werkzeug.wrappers import Request
from werkzeug import routing
from yggdrasil.record import Record
class WebApp:
def __init__(self, urlmap, namespace):
self.urlmap = urlmap
self.n... | {
"repo_name": "Evgenus/yggdrasil",
"path": "yggdrasil/app/__init__.py",
"copies": "1",
"size": "1753",
"license": "mit",
"hash": -3152881796342467000,
"line_mean": 28.7118644068,
"line_max": 62,
"alpha_frac": 0.6240730177,
"autogenerated": false,
"ratio": 4.3606965174129355,
"config_test": fals... |
from functools import reduce
from operator import iand, ior
from string import punctuation
import django
from django.apps import apps
from django.contrib.sites.managers import CurrentSiteManager as DjangoCSM
from django.core.exceptions import ImproperlyConfigured
from django.db.models import CharField, Manager, Q, Tex... | {
"repo_name": "stephenmcd/mezzanine",
"path": "mezzanine/core/managers.py",
"copies": "2",
"size": "17672",
"license": "bsd-2-clause",
"hash": -1636184606120646400,
"line_mean": 38.7123595506,
"line_max": 88,
"alpha_frac": 0.5766183794,
"autogenerated": false,
"ratio": 4.552292632663575,
"confi... |
from functools import reduce
from operator import ior
from dal import autocomplete
from django.contrib.auth.decorators import user_passes_test
from django.http.response import JsonResponse
from django.shortcuts import redirect
from django.utils.decorators import method_decorator
from django.views.generic import ListVi... | {
"repo_name": "bwhicks/PlinyProject",
"path": "backend/prosopography/views.py",
"copies": "1",
"size": "5725",
"license": "mit",
"hash": 8519941288550193000,
"line_mean": 34.5590062112,
"line_max": 81,
"alpha_frac": 0.5322270742,
"autogenerated": false,
"ratio": 4.310993975903615,
"config_test"... |
from functools import reduce
from operator import itemgetter
from pprint import pformat
from six import viewkeys, iteritems
from six.moves import map, zip
from toolz import curry, flip
from .sentinel import sentinel
@curry
def apply(f, *args, **kwargs):
"""Apply a function to arguments.
Parameters
----... | {
"repo_name": "quantopian/zipline",
"path": "zipline/utils/functional.py",
"copies": "1",
"size": "10260",
"license": "apache-2.0",
"hash": -5660203899356712000,
"line_mean": 23.4285714286,
"line_max": 79,
"alpha_frac": 0.5478557505,
"autogenerated": false,
"ratio": 3.9085714285714284,
"config_... |
from functools import reduce
from operator import mul
from itertools import combinations_with_replacement
def lcg():
"""Linear Congruential Generator."""
TWO_POW_20 = reduce(mul, (2 for _ in range(20)))
t = 0
while True:
t = 615949*t + 797807
t %= TWO_POW_20
yield t - TWO_POW_20... | {
"repo_name": "peterstace/project-euler",
"path": "OLD_PY_CODE/project_euler_old_old/150/150.py",
"copies": "1",
"size": "1967",
"license": "unlicense",
"hash": 7294832828322204000,
"line_mean": 22.987804878,
"line_max": 80,
"alpha_frac": 0.5566853076,
"autogenerated": false,
"ratio": 3.112341772... |
from functools import reduce
from operator import mul
from quantecon import cartesian
import numpy as np
from numpy import zeros
from typing import TypeVar, Generic, Dict
T = TypeVar("T")
S = TypeVar("S")
def prod(l):
return reduce(mul, l, 1.0)
from dolo.numeric.misc import mlinspace
class Grid:
def __m... | {
"repo_name": "EconForge/dolo",
"path": "dolo/numeric/grids.py",
"copies": "1",
"size": "5197",
"license": "bsd-2-clause",
"hash": 7666026254038726000,
"line_mean": 21.3004291845,
"line_max": 84,
"alpha_frac": 0.577752117,
"autogenerated": false,
"ratio": 3.1936078672403196,
"config_test": fals... |
from functools import reduce
from operator import mul
import time
start_time = time.time()
n = 100000
def factorization(n):
"""
Generate the prime factorization of n in the form of pairs (p, k)
where the prime p appears k times in the factorization.
"""
p = 1
while p * p < n:
p += 1
... | {
"repo_name": "GodMode-On/Tasks-from-different-sites",
"path": "Hackerrank/Project Euler #95: Amicable chains.py",
"copies": "1",
"size": "1969",
"license": "unlicense",
"hash": 4910177555205934000,
"line_mean": 24.5714285714,
"line_max": 76,
"alpha_frac": 0.4520060945,
"autogenerated": false,
"r... |
from functools import reduce
from operator import mul
__author__ = 'anuvrat'
'''
Exceeds time limit
'''
class Memoize(object):
def __init__(self, f):
self.f = f
self.cache = {}
def __call__(self, *args):
if args not in self.cache:
self.cache[args] = self.f(*args)
... | {
"repo_name": "anuvrat/spoj",
"path": "problems/tutorial/000074_divsum.py",
"copies": "1",
"size": "1779",
"license": "mit",
"hash": -6486141029699924000,
"line_mean": 24.0563380282,
"line_max": 126,
"alpha_frac": 0.5182686903,
"autogenerated": false,
"ratio": 2.906862745098039,
"config_test": ... |
from functools import reduce
from operator import mul
from lasagne.layers import Layer
from lasagne.layers import Conv2DLayer
from lasagne.layers import MaxPool2DLayer
import numpy as np
from tabulate import tabulate
convlayers = [Conv2DLayer]
maxpoollayers = [MaxPool2DLayer]
try:
from lasagne.layers.cuda_convnet... | {
"repo_name": "scottlittle/nolearn",
"path": "nolearn/lasagne/util.py",
"copies": "5",
"size": "5836",
"license": "mit",
"hash": -1914668629933426400,
"line_mean": 32.1590909091,
"line_max": 98,
"alpha_frac": 0.6038382454,
"autogenerated": false,
"ratio": 3.4168618266978923,
"config_test": fals... |
from functools import reduce
from operator import mul, rshift
from ..concrete.list import List
from ..utils.decorators import annotate
from .monoid import mappend
from .pure import identity
__all__ = ('fmap', 'unit', 'lift', 'multiapply', 'multibind',
'cons', 'mcons', 'sequence', 'mapM')
@annotate(type="... | {
"repo_name": "justanr/pynads",
"path": "pynads/funcs/lifted.py",
"copies": "1",
"size": "3140",
"license": "mit",
"hash": 2326675607620457500,
"line_mean": 28.0740740741,
"line_max": 77,
"alpha_frac": 0.5961783439,
"autogenerated": false,
"ratio": 3.250517598343685,
"config_test": false,
"ha... |
from functools import reduce
from operator import not_
from typing import Any, Callable, Iterator
__all__ = [
'comp',
'complement',
'compose',
'dec',
'even',
'identity',
'inc',
'natural_nums',
'odd',
]
sentinel = object()
def natural_nums(start: int=0, end: int=None) -> Iterator[... | {
"repo_name": "Jackevansevo/basic-utils",
"path": "basic_utils/primitives.py",
"copies": "1",
"size": "1743",
"license": "mit",
"hash": -521563974577361400,
"line_mean": 15.1388888889,
"line_max": 76,
"alpha_frac": 0.53643144,
"autogenerated": false,
"ratio": 3.486,
"config_test": false,
"has... |
from functools import reduce
from operator import or_, add
from typing import List, Union, Iterable, TypeVar
from django.contrib.postgres.search import TrigramSimilarity
from django.db import models
from django.db.models import Q, F, When, Case, Value, BooleanField
from django.shortcuts import _get_queryset
# generic... | {
"repo_name": "fidals/refarm-site",
"path": "search/search.py",
"copies": "1",
"size": "4742",
"license": "mit",
"hash": -8247908616544271000,
"line_mean": 31.2585034014,
"line_max": 91,
"alpha_frac": 0.6140868832,
"autogenerated": false,
"ratio": 3.941812136325852,
"config_test": false,
"has... |
from functools import reduce
from operator import or_
import random
import sc2
from sc2 import Race, Difficulty
from sc2.constants import *
from sc2.player import Bot, Computer
from sc2.data import race_townhalls
import enum
class BroodlordBot(sc2.BotAI):
def select_target(self):
if self.known_enemy_stru... | {
"repo_name": "Dentosal/python-sc2",
"path": "examples/zerg/onebase_broodlord.py",
"copies": "1",
"size": "4717",
"license": "mit",
"hash": 2135451834562277600,
"line_mean": 38.9745762712,
"line_max": 98,
"alpha_frac": 0.6039855841,
"autogenerated": false,
"ratio": 3.420594633792603,
"config_te... |
from functools import reduce
from operator import or_
from chamber.shortcuts import get_object_or_none
from django.utils.translation import ugettext
from django.db.models.query import QuerySet
from django.db.models import Q
from django.db.models.expressions import OrderBy
from django.utils.translation import ugettext... | {
"repo_name": "druids/django-pyston",
"path": "pyston/paginator.py",
"copies": "1",
"size": "8554",
"license": "bsd-3-clause",
"hash": 3477494264881346000,
"line_mean": 33.6356275304,
"line_max": 115,
"alpha_frac": 0.5713116671,
"autogenerated": false,
"ratio": 4.063657957244655,
"config_test":... |
from functools import reduce
from operator import or_
from django.db.models import Q
from django.conf import settings
from django.contrib.auth.models import User
from django.http import JsonResponse
from cities_light.models import City, Country, Region
from dal import autocomplete
from pytz import country_timezones
... | {
"repo_name": "mozilla/mozillians",
"path": "mozillians/users/views.py",
"copies": "2",
"size": "9979",
"license": "bsd-3-clause",
"hash": -1560303883583743200,
"line_mean": 32.7128378378,
"line_max": 98,
"alpha_frac": 0.5949493937,
"autogenerated": false,
"ratio": 4.0614570614570615,
"config_t... |
from functools import reduce
from operator import or_
from django.db.models import Q
from django.http import JsonResponse
from django.shortcuts import get_object_or_404
from django.urls import reverse
from django.utils.html import escape
from django.views import View
from tagging.models import Tag
from account.models... | {
"repo_name": "ultmaster/eoj3",
"path": "home/search_api.py",
"copies": "1",
"size": "4625",
"license": "mit",
"hash": 1188256850368374500,
"line_mean": 32.5144927536,
"line_max": 111,
"alpha_frac": 0.6534054054,
"autogenerated": false,
"ratio": 3.370991253644315,
"config_test": true,
"has_no... |
from functools import reduce
from operator import xor
from docutils import nodes
from semantic_version import Version as StrictVersion, Spec
import six
class Version(StrictVersion):
"""
Version subclass toggling ``partial=True`` by default.
"""
def __init__(self, version_string, partial=True):
... | {
"repo_name": "bitprophet/releases",
"path": "releases/models.py",
"copies": "1",
"size": "7419",
"license": "bsd-2-clause",
"hash": -5430787993442334000,
"line_mean": 35.7277227723,
"line_max": 79,
"alpha_frac": 0.5888933819,
"autogenerated": false,
"ratio": 4.30586186883343,
"config_test": fa... |
from functools import reduce
from optparse import make_option
from dateutil.relativedelta import relativedelta
from django.contrib.auth.models import User
from django.core.management.base import BaseCommand, CommandError
from django.db.models import Q
from django.utils import timezone
from timepiece import utils
fro... | {
"repo_name": "caktus/django-timepiece",
"path": "timepiece/management/commands/check_entries.py",
"copies": "1",
"size": "8286",
"license": "mit",
"hash": -1305716946856635000,
"line_mean": 38.4571428571,
"line_max": 82,
"alpha_frac": 0.5300506879,
"autogenerated": false,
"ratio": 4.361052631578... |
from functools import reduce
from optparse import OptionParser, make_option
from dateutil.relativedelta import relativedelta
from django.contrib.auth.models import User
from django.core.management.base import BaseCommand, CommandError
from django.db.models import Q
from django.utils import timezone
from timepiece im... | {
"repo_name": "BocuStudio/django-timepiece",
"path": "timepiece/management/commands/check_entries.py",
"copies": "2",
"size": "9169",
"license": "mit",
"hash": 8698935303657345000,
"line_mean": 38.3519313305,
"line_max": 82,
"alpha_frac": 0.5172865089,
"autogenerated": false,
"ratio": 4.457462323... |
from functools import reduce
from os import path
from collections import Mapping, MutableSequence
import keyword
import logging
import yaml
import numpy as np
from pkg_resources import resource_filename
from .. import geometry as geom
from .validator import Validator
class FrozenJSON(object):
"""A facade for na... | {
"repo_name": "jinhyunglee/yass",
"path": "src/yass/config/config.py",
"copies": "1",
"size": "7292",
"license": "apache-2.0",
"hash": -760875185414757900,
"line_mean": 34.3980582524,
"line_max": 108,
"alpha_frac": 0.5555403182,
"autogenerated": false,
"ratio": 4.264327485380117,
"config_test":... |
from functools import reduce
from os import system
from os.path import exists
import requests
from xlrd import open_workbook
from django.conf import settings
from django.db.models import Q
from django.db.utils import IntegrityError
from django.core.management.base import BaseCommand, CommandError
from hospitals.model... | {
"repo_name": "syndbg/django-bulstrad",
"path": "hospitals/management/commands/ingest.py",
"copies": "1",
"size": "9093",
"license": "mit",
"hash": -4684034911744370000,
"line_mean": 41.7783018868,
"line_max": 104,
"alpha_frac": 0.576469291,
"autogenerated": false,
"ratio": 3.5803395183576785,
... |
from functools import reduce
from pprint import pformat
from six import viewkeys
from six.moves import map, zip
from toolz import curry, flip
from .sentinel import sentinel
@curry
def apply(f, *args, **kwargs):
"""Apply a function to arguments.
Parameters
----------
f : callable
The functio... | {
"repo_name": "florentchandelier/zipline",
"path": "zipline/utils/functional.py",
"copies": "2",
"size": "9650",
"license": "apache-2.0",
"hash": -8733192931981522000,
"line_mean": 23.6173469388,
"line_max": 79,
"alpha_frac": 0.552746114,
"autogenerated": false,
"ratio": 3.958162428219852,
"con... |
from functools import reduce
from pprint import pformat
from six import viewkeys
from six.moves import map, zip
from toolz import curry, flip
@curry
def apply(f, *args, **kwargs):
"""Apply a function to arguments.
Parameters
----------
f : callable
The function to call.
*args, **kwargs
... | {
"repo_name": "magne-max/zipline-ja",
"path": "zipline/utils/functional.py",
"copies": "1",
"size": "9663",
"license": "apache-2.0",
"hash": 4142193595594846000,
"line_mean": 23.6505102041,
"line_max": 79,
"alpha_frac": 0.5532443341,
"autogenerated": false,
"ratio": 3.957002457002457,
"config_t... |
from functools import reduce
from pymongo import MongoClient
import osm_address
__author__ = 'tmshv'
"""
Populate documents with OSM_ID by matching document address & osm_features.tsv
"""
mongo = MongoClient()
db = mongo['k2']
osm_dict = osm_address.get_streets_dict()
def find_osm_id(doc):
street, n = doc['a... | {
"repo_name": "tmshv/k2",
"path": "Tools/db_populate_with_osm_id.py",
"copies": "1",
"size": "1210",
"license": "mit",
"hash": -999569642497826600,
"line_mean": 18.7049180328,
"line_max": 78,
"alpha_frac": 0.5765391015,
"autogenerated": false,
"ratio": 2.9826302729528535,
"config_test": false,
... |
from functools import reduce
from pymongo import MongoClient
import re
__author__ = 'tmshv'
"""
Correct 'address' field
"""
mongo = MongoClient()
db = mongo['k2']
rules = [
[{'function': {'$exists': False}}, {'function': 'unknown'}],
[{'function': 'unknown', 'name': re.compile('[Дд]етский сад')}, {'functi... | {
"repo_name": "tmshv/k2",
"path": "Tools/db_set_functions_by_name.py",
"copies": "1",
"size": "2997",
"license": "mit",
"hash": -7833306507029489000,
"line_mean": 44.8928571429,
"line_max": 111,
"alpha_frac": 0.5887159533,
"autogenerated": false,
"ratio": 2.4735322425409048,
"config_test": fals... |
from functools import reduce
from pymongo import MongoClient
__author__ = 'tmshv'
"""
Correct 'address' field
"""
mongo = MongoClient()
db = mongo['k2']
BSON_ARRAY = 4
fix_rules_street = [
['Обводного набережная канала', 'Набережная Обводного канала'],
['проспект Большой ПС', 'Большой проспект П.С.'],
... | {
"repo_name": "tmshv/k2",
"path": "Tools/db_fix_address.py",
"copies": "1",
"size": "1769",
"license": "mit",
"hash": -86851717822465780,
"line_mean": 24.8181818182,
"line_max": 108,
"alpha_frac": 0.5757575758,
"autogenerated": false,
"ratio": 1.780426599749059,
"config_test": false,
"has_no_... |
from functools import reduce
from pymongo import MongoClient
__author__ = 'tmshv'
"""
Correct 'years' field.
Transform '1911-1951, 1953' -> [[1911, 1951], [1953]]
"""
def periods(raw):
"""
Transform '1911-1951, 1953' -> [[1911, 1951], [1953]]
:param raw: string like '1911-1951, 1953'
:return: list ... | {
"repo_name": "tmshv/k2",
"path": "Tools/db_fix_years.py",
"copies": "1",
"size": "1123",
"license": "mit",
"hash": -9209754699105101000,
"line_mean": 20.1886792453,
"line_max": 74,
"alpha_frac": 0.589492431,
"autogenerated": false,
"ratio": 3.110803324099723,
"config_test": false,
"has_no_ke... |
from functools import reduce
from pyquantum.qgate import QGate, X, I, P0, P1
import numpy as np
# Used by QuantumCircuit to handle gates controlled by gates on a position
# lower than index
class ControlledQGate(QGate):
# Creates a new quantum gate on a given index of some column of a
# quantum circuit
de... | {
"repo_name": "miguelfrde/pyquantum",
"path": "pyquantum/qcircuit.py",
"copies": "1",
"size": "4393",
"license": "mit",
"hash": 7779948624816765000,
"line_mean": 36.8706896552,
"line_max": 95,
"alpha_frac": 0.5920783064,
"autogenerated": false,
"ratio": 3.6008196721311476,
"config_test": false,... |
from functools import reduce
from ..Qt import QtGui, QtCore, isQObjectAlive
from ..GraphicsScene import GraphicsScene
from ..Point import Point
from .. import functions as fn
import weakref
import operator
from ..util.lru_cache import LRUCache
class GraphicsItem(object):
"""
**Bases:** :class:`object`
Ab... | {
"repo_name": "campagnola/acq4",
"path": "acq4/pyqtgraph/graphicsItems/GraphicsItem.py",
"copies": "3",
"size": "23411",
"license": "mit",
"hash": -1551532586221088000,
"line_mean": 39.1560891938,
"line_max": 851,
"alpha_frac": 0.5837426851,
"autogenerated": false,
"ratio": 4.32415958625785,
"c... |
from functools import reduce
from random import random, shuffle
class cwr2gb_Negotiator:
# Constructor - Note that you can add other fields here; the only
# required fields are self.preferences and self.offer
def __init__(self):
self.preferences = []
self.offer = []
self.iter_limit... | {
"repo_name": "cwr2gb/HW3-A.I.",
"path": "cwr2gb.py",
"copies": "1",
"size": "3819",
"license": "mit",
"hash": -2964479585382716000,
"line_mean": 41.4333333333,
"line_max": 169,
"alpha_frac": 0.609321812,
"autogenerated": false,
"ratio": 4.252783964365256,
"config_test": false,
"has_no_keywor... |
from functools import reduce
from random import random, shuffle
class first_Negotiator:
# Constructor - Note that you can add other fields here; the only
# required fields are self.preferences and self.offer
def __init__(self):
self.preferences = []
self.offer = []
self.iter_limit ... | {
"repo_name": "cwr2gb/HW3-A.I.",
"path": "firstnegotiator.py",
"copies": "1",
"size": "2292",
"license": "mit",
"hash": 4841623173041521000,
"line_mean": 43.9607843137,
"line_max": 169,
"alpha_frac": 0.6518324607,
"autogenerated": false,
"ratio": 4.182481751824818,
"config_test": false,
"has_... |
from functools import reduce
from random import sample
from django.core.cache import cache
from django.db.models import Q
from django.db.models.aggregates import Count
from kolibri.content import models, serializers
from kolibri.content.content_db_router import get_active_content_database
from kolibri.logger.models im... | {
"repo_name": "jayoshih/kolibri",
"path": "kolibri/content/api.py",
"copies": "1",
"size": "8360",
"license": "mit",
"hash": 2838202764874714600,
"line_mean": 41.8717948718,
"line_max": 140,
"alpha_frac": 0.6557416268,
"autogenerated": false,
"ratio": 4.17373939091363,
"config_test": false,
"... |
from functools import reduce
from random import sample
from django.db.models import Q
from kolibri.content import models, serializers
from rest_framework import filters, pagination, viewsets
from .utils.search import fuzz
class ChannelMetadataCacheViewSet(viewsets.ModelViewSet):
serializer_class = serializers.Ch... | {
"repo_name": "66eli77/kolibri",
"path": "kolibri/content/api.py",
"copies": "2",
"size": "3267",
"license": "mit",
"hash": -3450518716482969600,
"line_mean": 40.3544303797,
"line_max": 140,
"alpha_frac": 0.7101316192,
"autogenerated": false,
"ratio": 4.063432835820896,
"config_test": false,
... |
from functools import reduce
from rlib.unroll import unrolling_iterable
from som.interp_type import is_ast_interpreter, is_bytecode_interpreter
"""Captures the known primitives at load time of this module, i.e., at compile
time with RPython.
"""
EXPECTED_NUMBER_OF_PRIMITIVE_FILES = 13
class PrimitivesNotFound(E... | {
"repo_name": "SOM-st/PySOM",
"path": "src/som/primitives/known.py",
"copies": "2",
"size": "2509",
"license": "mit",
"hash": 6195368320483205000,
"line_mean": 26.8777777778,
"line_max": 84,
"alpha_frac": 0.6301315265,
"autogenerated": false,
"ratio": 3.695139911634757,
"config_test": false,
... |
from functools import reduce
from SDWLE.agents.trade.util import memoized
class FakeCard:
def __init__(self, card):
self.health = card.health
self.attack = card.base_attack
self.base_attack = card.base_attack
if hasattr(card, "taunt"):
self.taunt = card.taunt
class Tr... | {
"repo_name": "jomyhuang/sdwle",
"path": "SDWLE/agents/trade/trade.py",
"copies": "1",
"size": "7723",
"license": "mit",
"hash": -4452775827157405000,
"line_mean": 28.7038461538,
"line_max": 78,
"alpha_frac": 0.5527644698,
"autogenerated": false,
"ratio": 3.4945701357466064,
"config_test": fals... |
from functools import reduce
from stango.views import file_from_tar, static_file
import collections
import os
import tarfile
FilespecBase = collections.namedtuple('Filespec', 'path view kwargs')
class Filespec(FilespecBase):
def __new__(cls, path, view, kwargs={}):
if not isinstance(path, str):
... | {
"repo_name": "akheron/stango",
"path": "stango/files.py",
"copies": "1",
"size": "3894",
"license": "mit",
"hash": 7348075467001293000,
"line_mean": 27.4233576642,
"line_max": 86,
"alpha_frac": 0.5469953775,
"autogenerated": false,
"ratio": 4.146964856230032,
"config_test": false,
"has_no_ke... |
from functools import reduce
from sys import intern
__author__ = 'Aaron Hosford'
__all__ = [
'Property',
'Category',
]
class Property:
def __init__(self, name):
if isinstance(name, Property):
self._name = name._name
self._hash = name._hash
else:
self.... | {
"repo_name": "hosford42/pyramids",
"path": "pyramids/categorization.py",
"copies": "1",
"size": "8391",
"license": "mit",
"hash": 6518556732465800000,
"line_mean": 32.0354330709,
"line_max": 74,
"alpha_frac": 0.555714456,
"autogenerated": false,
"ratio": 4.729988726042841,
"config_test": false... |
from functools import reduce
from sys import intern
__author__ = 'Aaron Hosford'
__all__ = [
'Tokenizer',
'StandardTokenizer',
'tokenize',
'TokenSequence',
]
class Tokenizer:
def tokenize(self, text):
raise NotImplementedError()
class StandardTokenizer(Tokenizer):
def __init__(se... | {
"repo_name": "hosford42/pyramids",
"path": "pyramids/tokenization.py",
"copies": "1",
"size": "5603",
"license": "mit",
"hash": 4946316912973830000,
"line_mean": 30.4775280899,
"line_max": 75,
"alpha_frac": 0.4709976798,
"autogenerated": false,
"ratio": 4.453895071542131,
"config_test": false,... |
# from functools import reduce
from time import time
def get_dict_squares(n):
'''
Función para obtener diccionario con la suma de los cuadrados
de los dígitos de cada número en el rango especificado.
'''
# Lo más rápido
res = {0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36,
7: 49, 8: 6... | {
"repo_name": "floppp/programming_challenges",
"path": "project_euler/051-100/92.py",
"copies": "1",
"size": "2442",
"license": "mit",
"hash": -3752411034492624400,
"line_mean": 25.6373626374,
"line_max": 66,
"alpha_frac": 0.5688943894,
"autogenerated": false,
"ratio": 2.8023121387283236,
"conf... |
from functools import reduce
from typing import Iterable
import dask
import dask.array
from dask.delayed import Delayed
from rechunker.types import (
MultiStagePipeline,
ParallelPipelines,
PipelineExecutor,
Stage,
)
class DaskPipelineExecutor(PipelineExecutor[Delayed]):
"""An execution engine ba... | {
"repo_name": "pangeo-data/rechunker",
"path": "rechunker/executors/dask.py",
"copies": "1",
"size": "3001",
"license": "mit",
"hash": 3786606171733185500,
"line_mean": 28.1359223301,
"line_max": 90,
"alpha_frac": 0.6437854049,
"autogenerated": false,
"ratio": 3.2619565217391306,
"config_test":... |
from functools import reduce
from typing import TYPE_CHECKING, Dict, List, Sequence, Tuple, Union
from django.db.models import CharField, Q, Value
from django.db.models.functions import Concat
if TYPE_CHECKING:
from django.db.models import QuerySet
class SearchQuerySetMixin:
"""Mixin to add a searches metho... | {
"repo_name": "marcosgabarda/django-belt",
"path": "belt/managers.py",
"copies": "1",
"size": "1700",
"license": "mit",
"hash": -4878625203462672000,
"line_mean": 36.7777777778,
"line_max": 100,
"alpha_frac": 0.5782352941,
"autogenerated": false,
"ratio": 4.485488126649076,
"config_test": false... |
from functools import reduce
from urllib.parse import urlparse
import time
def timeit(method):
def timed(*args, **kw):
ts = time.time()
result = method(*args, **kw)
te = time.time()
print('Time: %2.2f sec, function: %r, args: (%r, %r).' % (te - ts, method.__name__, args, kw))
... | {
"repo_name": "max-andr/deepanswer",
"path": "src/utils.py",
"copies": "1",
"size": "1204",
"license": "apache-2.0",
"hash": -8963181303209944000,
"line_mean": 24.6170212766,
"line_max": 102,
"alpha_frac": 0.5938538206,
"autogenerated": false,
"ratio": 3.2717391304347827,
"config_test": false,
... |
from functools import reduce
from utils import convert_kwarg, format_expression, random_expression
import random
from sympy import *
def addition(digits=2, values=2):
digits = convert_kwarg(digits, int)
values = convert_kwarg(values, int)
sym_vars = [''.join(['_', str(i)]) for i in range(0, values)]
s... | {
"repo_name": "tutorgen/problem_generator",
"path": "problems/algebra_1/arithmetic.py",
"copies": "1",
"size": "3519",
"license": "bsd-3-clause",
"hash": -1254942571230841300,
"line_mean": 29.6,
"line_max": 82,
"alpha_frac": 0.6362603012,
"autogenerated": false,
"ratio": 3.439882697947214,
"con... |
from functools import reduce
from utils import convert_kwarg, format_expression, random_expression, random_tens_int
import random
from sympy import *
# def solving_equations_with_the_distributive_property_and_by_combining_like_terms():
# pass
# def solving_two_step_equations_simple_values():
# pass
# def w... | {
"repo_name": "tutorgen/problem_generator",
"path": "problems/algebra_1/solving_multi_step_equations.py",
"copies": "1",
"size": "2931",
"license": "bsd-3-clause",
"hash": -64056196011978580,
"line_mean": 20.0863309353,
"line_max": 86,
"alpha_frac": 0.6680313886,
"autogenerated": false,
"ratio": ... |
from functools import reduce
from utils import convert_kwarg
import random
from sympy import *
# def dividing_polynomials_iii():
# pass
def polynomials_in_standard_form():
terms = [str(random.randint(0, 10)) for x in range(0, 4)]
terms[0] = ''.join([terms[0], 'x^3'])
terms[1] = ''.join([terms[1], 'x... | {
"repo_name": "tutorgen/problem_generator",
"path": "problems/algebra_1/polynomials.py",
"copies": "1",
"size": "1447",
"license": "bsd-3-clause",
"hash": -8884343033216442000,
"line_mean": 15.8255813953,
"line_max": 76,
"alpha_frac": 0.6447823082,
"autogenerated": false,
"ratio": 3.0918803418803... |
from functools import reduce
from xpath import dsl as x
import capybara
from capybara.compat import str_
from capybara.helpers import desc
from capybara.selector.filter_set import add_filter_set, remove_filter_set, filter_sets
from capybara.selector.selector import add_selector, remove_selector, selectors
from capybar... | {
"repo_name": "elliterate/capybara.py",
"path": "capybara/selector/__init__.py",
"copies": "1",
"size": "12150",
"license": "mit",
"hash": 8793891696528201000,
"line_mean": 29.604534005,
"line_max": 99,
"alpha_frac": 0.5741563786,
"autogenerated": false,
"ratio": 3.8473717542748576,
"config_tes... |
from functools import reduce
import abc
class Matchable:
@abc.abstractmethod
def decompose(self):
raise UnimplementedException('decompose unimplemented in class %s' % self.__class__)
@classmethod
@abc.abstractmethod
def pattern(cls, *args):
raise UnimplementedException('pattern unim... | {
"repo_name": "mvitousek/pypat",
"path": "pypat.py",
"copies": "1",
"size": "5003",
"license": "mit",
"hash": 771442406940316500,
"line_mean": 32.1324503311,
"line_max": 103,
"alpha_frac": 0.5712572457,
"autogenerated": false,
"ratio": 3.996006389776358,
"config_test": false,
"has_no_keywords... |
from functools import reduce
import base64
from six import BytesIO
import matplotlib
class EvaluatorHTMLSerializer:
"""
Wraps ClassifierEvaluator so attributes and methods return an HTML
serializable version of them
"""
def __init__(self, evaluator):
self.evaluator = evaluator
def __g... | {
"repo_name": "edublancas/sklearn-model-evaluation",
"path": "src/sklearn_evaluation/report/serialize.py",
"copies": "2",
"size": "1882",
"license": "mit",
"hash": -3969593066717116000,
"line_mean": 24.7808219178,
"line_max": 71,
"alpha_frac": 0.6073326249,
"autogenerated": false,
"ratio": 3.5711... |
from functools import reduce
import collections
class Solution:
def longestWord(self, words: 'List[str]') -> 'str':
Trie = lambda: collections.defaultdict(Trie)
trie = Trie()
END = True
for i, word in enumerate(words):
reduce(dict.__getitem__, word, trie)[END] = i
... | {
"repo_name": "jiadaizhao/LeetCode",
"path": "0701-0800/0720-Longest Word in Dictionary/0720-Longest Word in Dictionary.py",
"copies": "1",
"size": "1468",
"license": "mit",
"hash": -2497369014260709400,
"line_mean": 30.2340425532,
"line_max": 89,
"alpha_frac": 0.4993188011,
"autogenerated": false,... |
from functools import reduce
import gc
import io
import locale # system locale module, not tornado.locale
import logging
import operator
import textwrap
import sys
import unittest
import warnings
from tornado.httpclient import AsyncHTTPClient
from tornado.httpserver import HTTPServer
from tornado.netutil import Resol... | {
"repo_name": "dongpinglai/my_tornado",
"path": "tornado/test/runtests.py",
"copies": "5",
"size": "8348",
"license": "apache-2.0",
"hash": -8835842092684174000,
"line_mean": 33.6390041494,
"line_max": 100,
"alpha_frac": 0.6436272161,
"autogenerated": false,
"ratio": 4.060311284046692,
"config_... |
from functools import reduce
import glob
import os
import numpy as np
from bird import utils
from bird import signal_processing as sp
from bird import preprocessing as pp
# def gaussian_probability_density(x, mu, sigma):
# p = 1/(2*np.pi*(sigma**2))**(1/2) * np.exp(-((x-mu)**2)/(2*sigma**2))
# return p
def ... | {
"repo_name": "johnmartinsson/bird-species-classification",
"path": "bird/analysis.py",
"copies": "1",
"size": "1353",
"license": "mit",
"hash": -4627692277314064000,
"line_mean": 32,
"line_max": 78,
"alpha_frac": 0.6977087953,
"autogenerated": false,
"ratio": 3.206161137440758,
"config_test": ... |
from functools import reduce
import io
import os
import tempfile
import binascii
import numpy as np
import networkx as nx
from . import db
from .svgoverlay import get_overlay, _make_layer, _find_layer, parser
from lxml import etree
from .dataset import Vertex
from .polyutils import Surface, boundary_edges
from .utils... | {
"repo_name": "gallantlab/pycortex",
"path": "cortex/rois.py",
"copies": "1",
"size": "8871",
"license": "bsd-2-clause",
"hash": -3164041819651560000,
"line_mean": 39.8801843318,
"line_max": 144,
"alpha_frac": 0.5583361515,
"autogenerated": false,
"ratio": 3.727310924369748,
"config_test": fals... |
from functools import reduce
import itertools
import math
import random
from mongoframes.factory.makers import Maker
from mongoframes import ASC
__all__ = [
'Cycle',
'OneOf',
'RandomReference',
'SomeOf'
]
class Cycle(Maker):
"""
Pick the next item from a list of makers and/or values cycl... | {
"repo_name": "GetmeUK/MongoFrames",
"path": "mongoframes/factory/makers/selections.py",
"copies": "1",
"size": "9581",
"license": "mit",
"hash": -1074303563776917100,
"line_mean": 29.6102236422,
"line_max": 86,
"alpha_frac": 0.5734265734,
"autogenerated": false,
"ratio": 4.597408829174664,
"co... |
from functools import reduce
import itertools
import numbers
import operator
from . import util
def pylast_tracks_to_play_links(lastfm_tracks, network=None):
if network is None:
network = lastfm_tracks[0].network
return (l for l in itertools.chain(
*(network.get_track_play_links(track_group)
... | {
"repo_name": "IvanMalison/mopidy-lastfm",
"path": "mopidy_lastfm/score.py",
"copies": "1",
"size": "4906",
"license": "apache-2.0",
"hash": -292148224437172860,
"line_mean": 28.5542168675,
"line_max": 106,
"alpha_frac": 0.6324908276,
"autogenerated": false,
"ratio": 3.7336377473363775,
"config... |
from functools import reduce
import itertools
def identity(x):
return x
def thread_first(val, *forms):
""" Thread value through a sequence of functions/forms
>>> def double(x): return 2*x
>>> def inc(x): return x + 1
>>> thread_first(1, inc, double)
4
If the function expects more tha... | {
"repo_name": "mrocklin/functoolz",
"path": "functoolz/core.py",
"copies": "1",
"size": "5113",
"license": "bsd-3-clause",
"hash": -5979853251364691000,
"line_mean": 23.0046948357,
"line_max": 79,
"alpha_frac": 0.5345198514,
"autogenerated": false,
"ratio": 3.52864044168392,
"config_test": fals... |
from functools import reduce
import itertools
def identity(x):
return x
def thread_first(val, *forms):
""" Thread value through a sequence of functions/forms
>>> def double(x): return 2*x
>>> def inc(x): return x + 1
>>> thread_first(1, inc, double)
4
If the function expects more th... | {
"repo_name": "JNRowe/toolz",
"path": "toolz/functoolz/core.py",
"copies": "2",
"size": "4877",
"license": "bsd-3-clause",
"hash": 1474672204108983000,
"line_mean": 22.9068627451,
"line_max": 79,
"alpha_frac": 0.5273733853,
"autogenerated": false,
"ratio": 3.6422703510082153,
"config_test": fal... |
from functools import reduce
import json
from typing import Dict, List, NamedTuple, Optional
from django.contrib.auth import get_user_model
from django.utils import timezone
from problem.models import ProblemInstance, ProblemAuthLog
User = get_user_model()
def calculate_problem_score(problem_instance, effective_so... | {
"repo_name": "PLUS-POSTECH/study.plus.or.kr",
"path": "src/problem/helpers/score.py",
"copies": "1",
"size": "9240",
"license": "apache-2.0",
"hash": -5413071642158421000,
"line_mean": 39.704845815,
"line_max": 119,
"alpha_frac": 0.6180735931,
"autogenerated": false,
"ratio": 3.938618925831202,
... |
from functools import reduce
import json
import os
from lib.alerttask import AlertTask
from mozdef_util.query_models import SearchQuery, TermMatch, QueryStringMatch
_CONFIG_FILE = os.path.join(
os.path.dirname(__file__),
'aws_privilege_share.json')
_AGGREGATE_KEY = 'details.requestparameters.username'
_IAM... | {
"repo_name": "jeffbryner/MozDef",
"path": "alerts/aws_privilege_share.py",
"copies": "1",
"size": "1986",
"license": "mpl-2.0",
"hash": -1515901782248190700,
"line_mean": 30.5238095238,
"line_max": 78,
"alpha_frac": 0.639979859,
"autogenerated": false,
"ratio": 3.833976833976834,
"config_test"... |
from functools import reduce
import logging
from sys import stdout
from django.db.models import Model
from django.db.models.query import QuerySet
from .utils import (
get_rendition_key_set,
get_url_from_image_key,
validate_versatileimagefield_sizekey_list
)
logger = logging.getLogger(__name__)
def cli_... | {
"repo_name": "respondcreate/django-versatileimagefield",
"path": "versatileimagefield/image_warmer.py",
"copies": "1",
"size": "5664",
"license": "mit",
"hash": 1137002021412042200,
"line_mean": 35.7792207792,
"line_max": 79,
"alpha_frac": 0.5667372881,
"autogenerated": false,
"ratio": 4.1677704... |
from functools import reduce
import logging
import os
from random import sample
from pickle import load
from copy import deepcopy
import numpy as np
import scipy.sparse as sp
import pandas as pd
import six
from composes.composition.lexical_function import LexicalFunction
from discoutils.tokens import DocumentFeature... | {
"repo_name": "mbatchkarov/vector_builder",
"path": "builder/composers/vectorstore.py",
"copies": "1",
"size": "21805",
"license": "bsd-3-clause",
"hash": -743606114635063800,
"line_mean": 40.4543726236,
"line_max": 119,
"alpha_frac": 0.6345333639,
"autogenerated": false,
"ratio": 3.7032948369565... |
from functools import reduce
import logging
import platform
import re
import unittest
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__file__)
from common import get_check
from monasca_agent.collector.checks.system.unix import Cpu
from monasca_agent.collector.checks.system.unix import Disk
from m... | {
"repo_name": "sapcc/monasca-agent",
"path": "tests_to_fix/test_system.py",
"copies": "1",
"size": "11608",
"license": "bsd-3-clause",
"hash": -5444452183412632000,
"line_mean": 48.3957446809,
"line_max": 129,
"alpha_frac": 0.5537560303,
"autogenerated": false,
"ratio": 2.9424588086185044,
"con... |
from functools import reduce
import logging
from django.conf import settings as django_settings
from rest_framework import exceptions
from waldur_core.core.permissions import SAFE_METHODS, IsAdminOrReadOnly
from waldur_core.structure import models
logger = logging.getLogger(__name__)
# TODO: this is a temporary pe... | {
"repo_name": "opennode/nodeconductor",
"path": "waldur_core/structure/permissions.py",
"copies": "1",
"size": "2681",
"license": "mit",
"hash": 104132609789461010,
"line_mean": 27.8279569892,
"line_max": 106,
"alpha_frac": 0.6926519955,
"autogenerated": false,
"ratio": 3.7132963988919667,
"con... |
from functools import reduce
import math
from collections import Counter
def build_structure(f):
d = {
'male': [],
'female': [],
'lastname_1': [],
'lastname_2': [],
}
keys = list(d.keys())
k = keys.pop(0)
for line in open(f).readlines():
line = line.strip()... | {
"repo_name": "matslindh/codingchallenges",
"path": "knowit2019/18.py",
"copies": "1",
"size": "1487",
"license": "mit",
"hash": -5055254277627946000,
"line_mean": 25.0877192982,
"line_max": 119,
"alpha_frac": 0.5615332885,
"autogenerated": false,
"ratio": 3.130526315789474,
"config_test": fals... |
from functools import reduce
import mmap
from multiprocessing.managers import DictProxy, SyncManager, Server
import os
import random
import struct
import sys
try:
from posixshmem import _PosixSharedMemory, Error, ExistentialError, O_CREX
except ImportError as ie:
if os.name != "nt":
# On Windows, posixs... | {
"repo_name": "applio/proto_shmem",
"path": "shared_memory.py",
"copies": "1",
"size": "18492",
"license": "mit",
"hash": -1180574135648953000,
"line_mean": 33.6941838649,
"line_max": 86,
"alpha_frac": 0.5693272767,
"autogenerated": false,
"ratio": 4.0588235294117645,
"config_test": false,
"h... |
from functools import reduce
import nltk.cluster
import numpy
distances = []
def get_clusters_k_means(vectors, k, distance_func, num_of_repeats):
feature_vectors = [numpy.array(f) for f in vectors]
clusterer = nltk.cluster.KMeansClusterer(
num_means=k,
distance=lambda x, y: distance_func(x, ... | {
"repo_name": "miromir2217/style_breach",
"path": "style_breach/cluster/clustering.py",
"copies": "1",
"size": "1786",
"license": "apache-2.0",
"hash": 1508933437238472400,
"line_mean": 37,
"line_max": 116,
"alpha_frac": 0.640537514,
"autogenerated": false,
"ratio": 3.9513274336283186,
"config_... |
from functools import reduce
import numpy as np
from menpo.transform import Homogeneous, Translation, Scale, NonUniformScale
def dims_3to2():
r"""
Returns
------
:map`Homogeneous`
:map`Homogeneous` that strips off the 3D axis of a 3D shape
leaving just the first two axes.
"""
... | {
"repo_name": "grigorisg9gr/menpo3d",
"path": "menpo3d/rasterize/transform.py",
"copies": "3",
"size": "4300",
"license": "bsd-3-clause",
"hash": -6152028573756367000,
"line_mean": 32.59375,
"line_max": 79,
"alpha_frac": 0.5818604651,
"autogenerated": false,
"ratio": 3.6502546689303905,
"config... |
from functools import reduce
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
from skimage.draw import polygon
LEFT_CLICK = 1
RIGHT_CLICK = 3
# Borrowed from skimage.future
def _mask_from_vertices(vertices... | {
"repo_name": "pskeshu/doodle",
"path": "doodle/manual_segment.py",
"copies": "1",
"size": "3240",
"license": "mit",
"hash": 7061240301488484000,
"line_mean": 29,
"line_max": 78,
"alpha_frac": 0.6361111111,
"autogenerated": false,
"ratio": 3.737024221453287,
"config_test": false,
"has_no_keyw... |
from functools import reduce
import numpy as np
import tensorflow as tf
# TODO: check the methods of _TensorLike
class TensorTrainBase(object):
"""An abstract class that represents a collection of Tensor Train cores.
"""
def __init__(self, tt_cores):
"""Creates a `TensorTrainBase`."""
pass
def get_r... | {
"repo_name": "Bihaqo/t3f",
"path": "t3f/tensor_train_base.py",
"copies": "1",
"size": "5565",
"license": "mit",
"hash": -892522016806643000,
"line_mean": 30.0893854749,
"line_max": 87,
"alpha_frac": 0.6603773585,
"autogenerated": false,
"ratio": 3.7986348122866893,
"config_test": false,
"has... |
from functools import reduce
import numpy as np
import time
from scarab import EncryptedArray, EncryptedBit, \
PrivateKey, PublicKey, generate_pair
_ADD = lambda a, b: a + b
_MUL = lambda a, b: a * b
_AND = lambda a, b: a & b
_XOR = lambda a, b: a ^ b
pk, sk = None, None
def binary(num, size=32):
"""Binary... | {
"repo_name": "blindstore/blindstore-old-scarab",
"path": "pir.py",
"copies": "1",
"size": "3021",
"license": "mit",
"hash": 6609702121587240000,
"line_mean": 28.3300970874,
"line_max": 109,
"alpha_frac": 0.6338960609,
"autogenerated": false,
"ratio": 3.2310160427807486,
"config_test": false,
... |
from functools import reduce
import numpy as np
from tools.utils import flatten
import acpc_python_client as acpc
def get_utility(hole_cards, board_cards, players_folded, pot_commitment):
num_players = len(players_folded)
flattened_board_cards = flatten(board_cards)
complete_hands = [
flatten(hol... | {
"repo_name": "JakubPetriska/poker-cfr",
"path": "tools/hand_evaluation.py",
"copies": "1",
"size": "2731",
"license": "mit",
"hash": 5624747605925258000,
"line_mean": 36.4109589041,
"line_max": 115,
"alpha_frac": 0.6195532772,
"autogenerated": false,
"ratio": 3.396766169154229,
"config_test": ... |
from functools import reduce
import numpy as np
# Qubit representation on a Ket or Bra state. Allows to create only
# basis qubits |0> or |1>. By performing operations defined operations
# it's possible to get other qubits or qubit registers.
class Qubit:
KET = True
BRA = False
# Creates a new qubit |... | {
"repo_name": "miguelfrde/pyquantum",
"path": "pyquantum/qubit.py",
"copies": "1",
"size": "3624",
"license": "mit",
"hash": -201153547473917200,
"line_mean": 35.9795918367,
"line_max": 81,
"alpha_frac": 0.6261037528,
"autogenerated": false,
"ratio": 3.7093142272262027,
"config_test": false,
... |
from functools import reduce
import numpy
from pyscf import gto, scf, mcscf
'''
Compare two CASSCF active space.
It's important to compare multi-reference calculations based on the comparable
reference states. Here we compute the SVD eig and the determinant value of
the CAS space overlap to measure how close two CAS... | {
"repo_name": "sunqm/pyscf",
"path": "examples/mcscf/42-compare_cas_space.py",
"copies": "1",
"size": "1288",
"license": "apache-2.0",
"hash": -1202593119262572000,
"line_mean": 33.8108108108,
"line_max": 78,
"alpha_frac": 0.6886645963,
"autogenerated": false,
"ratio": 2.430188679245283,
"confi... |
from functools import reduce
import operator as op
import numpy as np
def interp1(x, xp, fp):
"""
Interpolate the 1d piecewise linear interpolant to a function with given
values at discrete data points
:param x: The x-coordinates of the interpolated values
:param xp: The x-coordinates of the ... | {
"repo_name": "hoogamaphone/chromathicity",
"path": "chromathicity/math.py",
"copies": "1",
"size": "1762",
"license": "bsd-3-clause",
"hash": 2118405404469277400,
"line_mean": 29.9122807018,
"line_max": 78,
"alpha_frac": 0.6424517594,
"autogenerated": false,
"ratio": 3.5885947046843176,
"confi... |
from functools import reduce
import operator
from django.contrib.auth.models import Group, Permission
from django.db.models import Q
from django.test import TestCase, override_settings
from django.urls import reverse
from django.utils.crypto import get_random_string
from accounts.models import User
from zentral.contrib... | {
"repo_name": "zentralopensource/zentral",
"path": "tests/jamf/test_jamf_setup_views.py",
"copies": "1",
"size": "12926",
"license": "apache-2.0",
"hash": 6094893842579865000,
"line_mean": 45.6642599278,
"line_max": 110,
"alpha_frac": 0.6045180257,
"autogenerated": false,
"ratio": 3.8619659396474... |
from functools import reduce
import operator
from django.contrib.auth.models import Group, Permission
from django.db.models import Q
from django.urls import reverse
from django.utils.crypto import get_random_string
from django.test import TestCase
from accounts.models import User
from zentral.contrib.inventory.models i... | {
"repo_name": "zentralopensource/zentral",
"path": "tests/monolith/test_setup_views.py",
"copies": "1",
"size": "7005",
"license": "apache-2.0",
"hash": 2761206418430039000,
"line_mean": 37.489010989,
"line_max": 100,
"alpha_frac": 0.6663811563,
"autogenerated": false,
"ratio": 3.825778263244129,... |
from functools import reduce
import operator
from urllib.parse import urljoin
from django.apps import apps
from django.conf import settings
from django.core import checks
from django.core.cache import cache
from django.db import models
from django.db.models.aggregates import Sum
from django.db.models.functions import ... | {
"repo_name": "awesto/django-shop",
"path": "shop/models/product.py",
"copies": "1",
"size": "16044",
"license": "bsd-3-clause",
"hash": -2669159924297466000,
"line_mean": 39.5151515152,
"line_max": 112,
"alpha_frac": 0.6588755921,
"autogenerated": false,
"ratio": 4.638334778837814,
"config_tes... |
from functools import reduce
import operator
import datetime
import time
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.db.models import Q
from django.utils.timezone import make_aware, get_current_timezone
from obcy.models import Joke
SITE_URL = {
'wykop': 'http://wykop.pl'... | {
"repo_name": "jchmura/suchary-django",
"path": "obcy/extras/prepare_view.py",
"copies": "1",
"size": "4222",
"license": "mit",
"hash": 6270075118385788000,
"line_mean": 28.7394366197,
"line_max": 119,
"alpha_frac": 0.6229275225,
"autogenerated": false,
"ratio": 3.3938906752411575,
"config_test... |
from functools import reduce
import operator
import math
from llvmlite import ir
import llvmlite.binding as ll
from numba.core.imputils import Registry
from numba.core.typing.npydecl import parse_dtype, signature
from numba.core import types, cgutils
from .cudadrv import nvvm
from numba import cuda
from numba.cuda im... | {
"repo_name": "gmarkall/numba",
"path": "numba/cuda/cudaimpl.py",
"copies": "1",
"size": "33252",
"license": "bsd-2-clause",
"hash": -7004433995104263000,
"line_mean": 35.3409836066,
"line_max": 114,
"alpha_frac": 0.6378864429,
"autogenerated": false,
"ratio": 3.2587220697765584,
"config_test":... |
from functools import reduce
import operator
import math
from llvmlite.llvmpy.core import Type, InlineAsm
import llvmlite.llvmpy.core as lc
import llvmlite.binding as ll
from numba.core.imputils import Registry
from numba.core.typing.npydecl import parse_dtype
from numba.core import types, cgutils
from .cudadrv impor... | {
"repo_name": "sklam/numba",
"path": "numba/cuda/cudaimpl.py",
"copies": "1",
"size": "27366",
"license": "bsd-2-clause",
"hash": 7769188903916740000,
"line_mean": 35.5367156208,
"line_max": 80,
"alpha_frac": 0.6429145655,
"autogenerated": false,
"ratio": 3.219529411764706,
"config_test": false... |
from functools import reduce
import operator
import pprint
import uuid
from celery import states
from django.db import models
from django.contrib import admin
from django.utils.html import format_html
from project import celery_app
from share.admin.util import FuzzyPaginator
class TaskNameFilter(admin.SimpleListF... | {
"repo_name": "aaxelb/SHARE",
"path": "share/admin/celery.py",
"copies": "1",
"size": "3689",
"license": "apache-2.0",
"hash": 4370947550267204000,
"line_mean": 29.7416666667,
"line_max": 115,
"alpha_frac": 0.6072106262,
"autogenerated": false,
"ratio": 3.949678800856531,
"config_test": false,
... |
from functools import reduce
import operator
import pytz
from django.contrib import messages
from django.utils import timezone
def get_report_date(request):
user_tz = pytz.timezone(request.user.profile.timezone)
date_string = request.GET.get('report_date')
if date_string:
try:
report_... | {
"repo_name": "peap/djarzeit",
"path": "reports/utils.py",
"copies": "1",
"size": "2683",
"license": "mit",
"hash": 7110657426809058000,
"line_mean": 31.7195121951,
"line_max": 78,
"alpha_frac": 0.6276556094,
"autogenerated": false,
"ratio": 3.5630810092961487,
"config_test": false,
"has_no_k... |
from functools import reduce
import operator
import re
from dal import autocomplete
from django.contrib.auth.models import Group
from django.conf.urls import url
from django.db.models import Q, Count
from workshops import models
from workshops.util import OnlyForAdminsNoRedirectMixin
class EventLookupView(OnlyForAd... | {
"repo_name": "vahtras/amy",
"path": "workshops/lookups.py",
"copies": "1",
"size": "4742",
"license": "mit",
"hash": 3227650137332039700,
"line_mean": 30.6133333333,
"line_max": 91,
"alpha_frac": 0.6012231126,
"autogenerated": false,
"ratio": 4.127067014795474,
"config_test": false,
"has_no_... |
from functools import reduce
import operator
import textwrap
from plugins import BasePlugin
__author__ = 'peter'
class XORPlugin(BasePlugin):
short_description = 'XOR all hexstring input(s) with eachother'
header = 'XOR of the hex inputs'
default = False
description = textwrap.dedent('''\
This ... | {
"repo_name": "Sakartu/stringinfo",
"path": "plugins/xor_plugin.py",
"copies": "1",
"size": "1107",
"license": "mit",
"hash": 1606363866072719000,
"line_mean": 28.1315789474,
"line_max": 81,
"alpha_frac": 0.5889792231,
"autogenerated": false,
"ratio": 3.6058631921824102,
"config_test": false,
... |
from functools import reduce
import operator
arabic_to_roman = {
1: "I",
5: "V",
10: "X",
50: "L",
100: "C",
500: "D",
1000: "M"}
roman_to_arabic = {roman: arabic for (arabic, roman) in arabic_to_roman.items()}
MAX = 4999
def unfold(f, initial_state):
next_item, state = f(initial_st... | {
"repo_name": "takemyoxygen/playground",
"path": "py/numerals/numerals.py",
"copies": "1",
"size": "1964",
"license": "mit",
"hash": -8238291038610440000,
"line_mean": 28.3134328358,
"line_max": 97,
"alpha_frac": 0.6206720978,
"autogenerated": false,
"ratio": 3.323181049069374,
"config_test": f... |
from functools import reduce
import operator
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Q
from rest_framework.filters import BaseFilterBackend
class CMSPagesFilterBackend(BaseFilterBackend):
"""
Use this backend to only show products assigned to the current page.
... | {
"repo_name": "awesto/django-shop",
"path": "shop/rest/filters.py",
"copies": "1",
"size": "1687",
"license": "bsd-3-clause",
"hash": -3719191531598573000,
"line_mean": 42.2564102564,
"line_max": 102,
"alpha_frac": 0.7065797273,
"autogenerated": false,
"ratio": 3.9881796690307327,
"config_test"... |
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