text stringlengths 0 1.05M | meta dict |
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from functools import lru_cache
from collections import deque
from dataclasses import dataclass, field
import heapq
@dataclass(frozen=True)
class Point:
x: int
y: int
def dist(self, other):
return abs(self.x - other.x) + abs(self.y - other.y)
class PriorityQueue:
@dataclass(frozen=True, ord... | {
"repo_name": "suprzer0/aoc2016",
"path": "day13/solve.py",
"copies": "1",
"size": "3000",
"license": "mit",
"hash": -926780763725494900,
"line_mean": 20.7391304348,
"line_max": 80,
"alpha_frac": 0.5243333333,
"autogenerated": false,
"ratio": 3.239740820734341,
"config_test": false,
"has_no_k... |
from functools import lru_cache
from contextlib import contextmanager
import os
import glob
from hashlib import sha1
from scipy import sparse
import numpy as np
from scipy.integrate import simps
from scipy.ndimage import spline_filter
from astropy.table import Table
from astropy.coordinates import ICRS
import astropy.... | {
"repo_name": "drgmk/sdf",
"path": "sdf/utils.py",
"copies": "1",
"size": "13582",
"license": "mit",
"hash": -3233368995377309000,
"line_mean": 28.1459227468,
"line_max": 133,
"alpha_frac": 0.5853335297,
"autogenerated": false,
"ratio": 3.4263370332996974,
"config_test": false,
"has_no_keywor... |
from functools import lru_cache
from faker import Faker
from jinja2 import Template
class StringGenerator:
"""Sometimes in templates you want a reference to a variable to
call a function.
For example:
>>> x = template_utils.StringGenerator(datetime.today().isoformat)
>>> print(f"{x}")
2019-... | {
"repo_name": "SalesforceFoundation/CumulusCI",
"path": "cumulusci/core/template_utils.py",
"copies": "1",
"size": "1409",
"license": "bsd-3-clause",
"hash": 521737387662944300,
"line_mean": 22.8813559322,
"line_max": 76,
"alpha_frac": 0.6352022711,
"autogenerated": false,
"ratio": 3.622107969151... |
from functools import lru_cache
from hashlib import md5
from itertools import product
salt = b'qzyelonm'
lookahead_distance = 1000
def get_hex_digest(b):
return md5(b).hexdigest()
def first_repeat_char(hash_str, l=3):
matches = sorted((hash_str.find(c*l), c) for c in set(hash_str) if c*l in hash_str)
r... | {
"repo_name": "sclarke/adventofcode2016",
"path": "d14.py",
"copies": "1",
"size": "1100",
"license": "bsd-3-clause",
"hash": -853456757248792700,
"line_mean": 25.1904761905,
"line_max": 114,
"alpha_frac": 0.6554545455,
"autogenerated": false,
"ratio": 2.9177718832891246,
"config_test": false,
... |
from functools import lru_cache
from hashlib import md5
from time import time
from django.core.cache import cache
from django.utils.cache import _i18n_cache_key_suffix
from mezzanine.conf import settings
from mezzanine.utils.conf import middlewares_or_subclasses_installed
from mezzanine.utils.sites import current_sit... | {
"repo_name": "stephenmcd/mezzanine",
"path": "mezzanine/utils/cache.py",
"copies": "2",
"size": "3906",
"license": "bsd-2-clause",
"hash": 6980224498068520000,
"line_mean": 32.1016949153,
"line_max": 74,
"alpha_frac": 0.6592421915,
"autogenerated": false,
"ratio": 3.917753259779338,
"config_te... |
from functools import lru_cache
from io import BytesIO
from urllib.parse import urljoin
from PIL import Image
from urllib.request import Request, urlopen
import asyncio
from boards.database import engine
from bs4 import BeautifulSoup
import aiohttp
user_agent = 'Mozilla/5.0 (X11; Linux x86_64; rv:40.0) Gecko/20100101 ... | {
"repo_name": "mstojcevich/Boards",
"path": "boards/thumbnail.py",
"copies": "1",
"size": "4332",
"license": "mit",
"hash": -1695060703479431400,
"line_mean": 31.0888888889,
"line_max": 95,
"alpha_frac": 0.6350415512,
"autogenerated": false,
"ratio": 3.7025641025641027,
"config_test": false,
... |
from functools import lru_cache
from io import BytesIO
import pygame
import requests
class ChatImage:
def __init__(self, client_id, height=16):
self.session = requests.Session()
self.session.headers["Client-ID"] = client_id
self.session.headers["Accept"] = "application/vnd.twitchtv.v5+jso... | {
"repo_name": "shughes-uk/twitchchat_display",
"path": "twitchchat_display/images.py",
"copies": "1",
"size": "2426",
"license": "mit",
"hash": -507086209099794400,
"line_mean": 35.2089552239,
"line_max": 88,
"alpha_frac": 0.604286892,
"autogenerated": false,
"ratio": 3.4025245441795233,
"confi... |
from functools import lru_cache
from io import TextIOWrapper
from typing import Dict
import pytz
@lru_cache(maxsize=None)
def get_canonical_timezone_map() -> Dict[str, str]:
canonical = {}
with TextIOWrapper(
pytz.open_resource("tzdata.zi") # type: ignore[attr-defined] # Unclear if this is part of t... | {
"repo_name": "zulip/zulip",
"path": "zerver/lib/timezone.py",
"copies": "6",
"size": "1757",
"license": "apache-2.0",
"hash": -4953415391975245000,
"line_mean": 21.2405063291,
"line_max": 118,
"alpha_frac": 0.5350028458,
"autogenerated": false,
"ratio": 2.6865443425076454,
"config_test": false... |
from functools import lru_cache
from itertools import chain
import logging
import os
import sublime
from . import events, persist, util
logger = logging.getLogger(__name__)
COLORIZE = True
WHITE_SCOPE = 'region.whitish' # hopefully a white color
DEFAULT_STYLES = None # holds the styles we ship as the default sett... | {
"repo_name": "SublimeLinter/SublimeLinter3",
"path": "lint/style.py",
"copies": "1",
"size": "4137",
"license": "mit",
"hash": 7030456014647995000,
"line_mean": 28.9782608696,
"line_max": 92,
"alpha_frac": 0.6183224559,
"autogenerated": false,
"ratio": 3.7303877366997296,
"config_test": false,... |
from functools import lru_cache
from json import JSONDecodeError
from urllib.parse import urljoin, urlparse
import requests
from django.conf import settings
from django.db.models import Q
from workshops.models import (
Person,
Role,
Organization,
Sponsorship,
Task,
)
from workshops.util import cre... | {
"repo_name": "vahtras/amy",
"path": "pydata/api.py",
"copies": "1",
"size": "4704",
"license": "mit",
"hash": 2670075810124097000,
"line_mean": 31.6666666667,
"line_max": 89,
"alpha_frac": 0.5612244898,
"autogenerated": false,
"ratio": 4.363636363636363,
"config_test": false,
"has_no_keyword... |
from functools import lru_cache
from langcodes import Language, best_match
# Text in scripts written without spaces has to be handled specially in our
# tokenization regex (see TOKEN_RE in tokens.py). Also, when one of these is
# the script of the language we're analyzing, then we need to either have
# a specific tok... | {
"repo_name": "LuminosoInsight/wordfreq",
"path": "wordfreq/language_info.py",
"copies": "1",
"size": "6793",
"license": "mit",
"hash": 1412795037747228000,
"line_mean": 38.3895348837,
"line_max": 80,
"alpha_frac": 0.6748339483,
"autogenerated": false,
"ratio": 3.7266226622662266,
"config_test"... |
from functools import lru_cache
from logging import getLogger
from os.path import join
from typing import Any, Callable, Dict, Optional, List, Sequence, Set, Tuple
import requests
import json
import csv
from ..const import PROPER_STOP_NAMES, ACTIVE_RAIL_STATIONS, HEADERS, \
GIST_MISSING_STOPS, GIST_RAIL_PLATFORMS
... | {
"repo_name": "MKuranowski/WarsawGTFS",
"path": "static/converter/stophandler.py",
"copies": "1",
"size": "14868",
"license": "mit",
"hash": 3687844764460532700,
"line_mean": 35.515970516,
"line_max": 97,
"alpha_frac": 0.5389584174,
"autogenerated": false,
"ratio": 3.7606275303643724,
"config_t... |
from functools import lru_cache
from math import ceil, floor, log2
from .utils import argmin, greatest_pow2
@lru_cache(maxsize=None)
def C(p, q):
if p == 0:
return 1
if p > q:
return 0
return C(p, q - 1) + C(p - 1, q)
class RMQ:
def __init__(self, array):
self.array = array
... | {
"repo_name": "mhozza/string_algorithms",
"path": "string_algorithms/rmq.py",
"copies": "1",
"size": "4323",
"license": "mit",
"hash": 5300163592047080000,
"line_mean": 30.3260869565,
"line_max": 106,
"alpha_frac": 0.5149201943,
"autogenerated": false,
"ratio": 3.2774829416224414,
"config_test"... |
from functools import lru_cache
from math import floor, log
from typing import Dict
d = {
# generate_d
0: 1,
1: 2,
2: 3,
4: 4,
8: 6,
16: 9,
32: 14,
64: 22,
128: 35,
256: 56,
512: 90,
1024: 145,
2048: 234,
4096: 378,
8192: 611,
16384: 988,
32768: 1... | {
"repo_name": "MartinThoma/algorithms",
"path": "Python/leetcode_600.py",
"copies": "1",
"size": "4681",
"license": "mit",
"hash": -1931442726737507000,
"line_mean": 22.405,
"line_max": 81,
"alpha_frac": 0.5176244392,
"autogenerated": false,
"ratio": 2.6902298850574713,
"config_test": false,
... |
from functools import lru_cache
from math import (
ceil,
sqrt,
)
from sequence import Sequence
class Prime(Sequence):
_NUMS = [2, 3]
@classmethod
def _append(cls):
cls._append_many()
@classmethod
def _append_one(cls):
(candidate, flag) = (cls._NUMS[-1], False)
whil... | {
"repo_name": "mackorone/euler",
"path": "src/prime.py",
"copies": "1",
"size": "1519",
"license": "mit",
"hash": 6836271841193496000,
"line_mean": 26.125,
"line_max": 68,
"alpha_frac": 0.5075707702,
"autogenerated": false,
"ratio": 3.9454545454545453,
"config_test": false,
"has_no_keywords":... |
from functools import lru_cache
from menpo.shape import PointCloud
from menpo.transform import Scale, Translation
from menpo3d.rasterize import (
rasterize_barycentric_coordinate_images,
rasterize_mesh_from_barycentric_coordinate_images,
rasterize_shape_image_from_barycentric_coordinate_images)
from menpode... | {
"repo_name": "menpo/lsfm",
"path": "lsfm/landmark.py",
"copies": "1",
"size": "3169",
"license": "bsd-3-clause",
"hash": -2888775015307180000,
"line_mean": 36.2823529412,
"line_max": 78,
"alpha_frac": 0.6667718523,
"autogenerated": false,
"ratio": 3.3252885624344177,
"config_test": false,
"h... |
from functools import lru_cache
from metrics import ratio_of_classes
from numpy import log2
from typing import Callable, Mapping, Sequence, List
from warnings import warn
import pandas as pd
class Gene:
"""Stores gene's identifier and description (multiton).
At a time there can be only one gene with given i... | {
"repo_name": "sienkie/pathways-analysis",
"path": "models.py",
"copies": "1",
"size": "15802",
"license": "mit",
"hash": -1136555631575083800,
"line_mean": 32.9827956989,
"line_max": 109,
"alpha_frac": 0.5651183395,
"autogenerated": false,
"ratio": 4.457545839210155,
"config_test": false,
"h... |
from functools import lru_cache
from operator import attrgetter
from os.path import sep, splitext, isdir, exists, join
from os import listdir
from urllib.parse import quote_plus
import ipgetter
from logging import getLogger
from discord import ChannelType
from roboto import config, disc
log = getLogger(__name__)
# ... | {
"repo_name": "leighmacdonald/roboto",
"path": "roboto/media.py",
"copies": "1",
"size": "5168",
"license": "mit",
"hash": 6970096636813686000,
"line_mean": 26.2,
"line_max": 99,
"alpha_frac": 0.6170665635,
"autogenerated": false,
"ratio": 3.5715272978576365,
"config_test": false,
"has_no_key... |
from functools import lru_cache
from pkg_resources import iter_entry_points
from typing import (
Any,
List,
Mapping,
Type,
)
from marshmallow.fields import Field
from microcosm_flask.swagger.parameters.base import ParameterBuilder
from microcosm_flask.swagger.parameters.default import DefaultParameter... | {
"repo_name": "globality-corp/microcosm-flask",
"path": "microcosm_flask/swagger/parameters/__init__.py",
"copies": "1",
"size": "1917",
"license": "apache-2.0",
"hash": -5411442114039876000,
"line_mean": 24.56,
"line_max": 89,
"alpha_frac": 0.6155451226,
"autogenerated": false,
"ratio": 4.406896... |
from functools import lru_cache
from pyramid.security import (
ALL_PERMISSIONS,
Allow,
Authenticated,
Deny,
DENY_ALL,
Everyone,
)
from pyramid.threadlocal import get_current_request
from pyramid.traversal import (
find_root,
traverse,
)
import contentbase
from ..schema_formats import is_... | {
"repo_name": "philiptzou/clincoded",
"path": "src/clincoded/types/base.py",
"copies": "1",
"size": "7287",
"license": "mit",
"hash": 2508191901959448000,
"line_mean": 31.53125,
"line_max": 101,
"alpha_frac": 0.6013448607,
"autogenerated": false,
"ratio": 3.8072100313479624,
"config_test": fals... |
from functools import lru_cache
from pyramid.security import (
ALL_PERMISSIONS,
Allow,
Authenticated,
Deny,
DENY_ALL,
Everyone,
)
from pyramid.traversal import (
find_root,
traverse,
)
import contentbase
from ..schema_formats import is_accession
@lru_cache()
def _award_viewing_group(aw... | {
"repo_name": "kidaa/encoded",
"path": "src/encoded/types/base.py",
"copies": "1",
"size": "7279",
"license": "mit",
"hash": 6828672249256526000,
"line_mean": 31.7882882883,
"line_max": 101,
"alpha_frac": 0.5992581399,
"autogenerated": false,
"ratio": 3.8169900367068696,
"config_test": false,
... |
from functools import lru_cache
from statistics import mean
from string import punctuation
import warnings
from nltk.corpus import cmudict
from nltk.tokenize import word_tokenize, sent_tokenize
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from otdet.util import lazyproperty
class R... | {
"repo_name": "kemskems/otdet",
"path": "otdet/feature_extraction.py",
"copies": "1",
"size": "7325",
"license": "mit",
"hash": 7621188799809032000,
"line_mean": 33.880952381,
"line_max": 78,
"alpha_frac": 0.606552901,
"autogenerated": false,
"ratio": 3.839098532494759,
"config_test": false,
... |
from functools import lru_cache
from typing import Any, Container, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple, Union
from urllib.parse import urlparse
import orjson
import requests
from django.conf import settings
from requests.adapters import ConnectionError, HTTPAdapter
from requests.models import Prep... | {
"repo_name": "hackerkid/zulip",
"path": "zerver/tornado/django_api.py",
"copies": "2",
"size": "5727",
"license": "apache-2.0",
"hash": 5565695577941948000,
"line_mean": 35.7115384615,
"line_max": 100,
"alpha_frac": 0.6476340143,
"autogenerated": false,
"ratio": 3.723667100130039,
"config_test... |
from functools import lru_cache
from typing import Any, Container, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple, Union
import orjson
import requests
from django.conf import settings
from requests.adapters import ConnectionError, HTTPAdapter
from requests.models import PreparedRequest, Response
from request... | {
"repo_name": "brainwane/zulip",
"path": "zerver/tornado/django_api.py",
"copies": "1",
"size": "4896",
"license": "apache-2.0",
"hash": 7708094520352694000,
"line_mean": 39.131147541,
"line_max": 122,
"alpha_frac": 0.6266339869,
"autogenerated": false,
"ratio": 3.7865429234338746,
"config_test... |
from functools import lru_cache
from typing import Callable, Dict, List, Optional, Any, cast
from xml.etree.ElementTree import Element
from xml.etree.ElementTree import tostring as et_str
import html5lib
import requests
import activesoup
_namespaces = ["http://www.w3.org/1999/xhtml"]
def _strip_namespace(etree: E... | {
"repo_name": "jelford/activesoup",
"path": "src/activesoup/html.py",
"copies": "1",
"size": "11008",
"license": "mit",
"hash": -2311447842219989000,
"line_mean": 34.7402597403,
"line_max": 168,
"alpha_frac": 0.5795784884,
"autogenerated": false,
"ratio": 4.157099697885196,
"config_test": false... |
from functools import lru_cache
from typing import Callable, Mapping, Sequence, List
from warnings import warn
import pandas as pd
class Gene:
"""Stores gene's identifier and description (multiton).
At a time there can be only one gene with given identifier,
i.e. after the first initialization, all subs... | {
"repo_name": "kn-bibs/pathways-analysis",
"path": "models.py",
"copies": "1",
"size": "15022",
"license": "mit",
"hash": -7627275604343066000,
"line_mean": 32.9864253394,
"line_max": 121,
"alpha_frac": 0.5673012914,
"autogenerated": false,
"ratio": 4.435193386477708,
"config_test": false,
"h... |
from functools import lru_cache
from typing import Dict, List
from ._cell_widths import CELL_WIDTHS
from ._lru_cache import LRUCache
def cell_len(text: str, _cache: Dict[str, int] = LRUCache(1024 * 4)) -> int:
"""Get the number of cells required to display text.
Args:
text (str): Text to display.
... | {
"repo_name": "willmcgugan/rich",
"path": "rich/cells.py",
"copies": "1",
"size": "3685",
"license": "mit",
"hash": -2591204797837050400,
"line_mean": 27.464,
"line_max": 81,
"alpha_frac": 0.5947161327,
"autogenerated": false,
"ratio": 3.331460674157303,
"config_test": false,
"has_no_keywords... |
from functools import lru_cache
from typing import Dict, List, Optional
from debug_toolbar.panels.templates import TemplatesPanel as BaseTemplatesPanel
from django.conf import settings
from django.contrib import messages
from django.contrib.humanize.templatetags.humanize import naturaltime
from django.utils.html impor... | {
"repo_name": "karolyi/forum-django",
"path": "backend/forum/jinja2.py",
"copies": "1",
"size": "5219",
"license": "mit",
"hash": 1198952770549557800,
"line_mean": 29.8816568047,
"line_max": 79,
"alpha_frac": 0.6516574056,
"autogenerated": false,
"ratio": 3.9093632958801496,
"config_test": fals... |
from functools import lru_cache
from typing import Iterable, Dict, Set, Tuple
from helpers.hashable_dict import HashableDict
from interfaces.expr import Signal
class Label(HashableDict): # TODO: use Expr instead (cube)
"""
_hashable_ dict: signal -> True/False
Label({}) means 'True'
And there is no ... | {
"repo_name": "5nizza/party-elli",
"path": "interfaces/automaton.py",
"copies": "1",
"size": "3598",
"license": "mit",
"hash": -1244348676524788000,
"line_mean": 30.5614035088,
"line_max": 100,
"alpha_frac": 0.5275152863,
"autogenerated": false,
"ratio": 3.7169421487603307,
"config_test": false... |
from functools import lru_cache
from typing import List
import librosa
import numpy as np
from mugen import paths
from mugen.events import EventList, Event
class AudioEvent(Event):
"""
An event in some audio
"""
pass
class End(AudioEvent):
"""
The end of some audio
"""
pass
class... | {
"repo_name": "scherroman/mugen",
"path": "mugen/audio/Audio.py",
"copies": "1",
"size": "4727",
"license": "mit",
"hash": -3696941281759082000,
"line_mean": 25.1160220994,
"line_max": 120,
"alpha_frac": 0.5553204993,
"autogenerated": false,
"ratio": 4.114012184508268,
"config_test": false,
"... |
from functools import lru_cache
from typing import List, Tuple, Iterable, Dict, Optional
import numpy as np
from opensfm import bow
from opensfm import feature_loader
from opensfm.dataset import DataSetBase
def unnormalized_vlad(features: np.ndarray, centers: np.ndarray) -> np.ndarray:
"""Compute unnormalized VL... | {
"repo_name": "mapillary/OpenSfM",
"path": "opensfm/vlad.py",
"copies": "1",
"size": "2311",
"license": "bsd-2-clause",
"hash": 7029261816028634000,
"line_mean": 29.012987013,
"line_max": 87,
"alpha_frac": 0.649935093,
"autogenerated": false,
"ratio": 3.5228658536585367,
"config_test": false,
... |
from functools import lru_cache
from typing import Optional
from django.core.exceptions import FieldDoesNotExist
from django.db import models
from django.db.models import QuerySet
from rest_framework.compat import coreapi, coreschema
from rest_framework.filters import BaseFilterBackend
from rest_framework.request impo... | {
"repo_name": "rsinger86/drf-flex-fields",
"path": "rest_flex_fields/filter_backends.py",
"copies": "1",
"size": "5946",
"license": "mit",
"hash": -4576592348556671500,
"line_mean": 32.593220339,
"line_max": 83,
"alpha_frac": 0.5082408342,
"autogenerated": false,
"ratio": 4.967418546365915,
"co... |
from functools import lru_cache
from typing import Optional
from indy_crypto.bls import ProofOfPossession, VerKey
from common.serializers.serialization import pool_state_serializer
from crypto.bls.indy_crypto.bls_crypto_indy_crypto import IndyCryptoBlsUtils
from plenum.common.constants import POOL_LEDGER_ID, NODE, DA... | {
"repo_name": "evernym/zeno",
"path": "plenum/server/request_handlers/node_handler.py",
"copies": "1",
"size": "10182",
"license": "apache-2.0",
"hash": -5821467442304997000,
"line_mean": 47.2559241706,
"line_max": 113,
"alpha_frac": 0.6166764879,
"autogenerated": false,
"ratio": 3.68779427743571... |
from functools import lru_cache
from typing import Optional
from ursa.bls import ProofOfPossession, VerKey
from common.serializers.serialization import pool_state_serializer
from crypto.bls.indy_crypto.bls_crypto_indy_crypto import IndyCryptoBlsUtils
from plenum.common.constants import POOL_LEDGER_ID, NODE, DATA, BLS... | {
"repo_name": "evernym/plenum",
"path": "plenum/server/request_handlers/node_handler.py",
"copies": "1",
"size": "10175",
"license": "apache-2.0",
"hash": 2232331412928904400,
"line_mean": 47.2227488152,
"line_max": 113,
"alpha_frac": 0.6165110565,
"autogenerated": false,
"ratio": 3.6879304095686... |
from functools import lru_cache
from typing import Sequence, Dict, Union, Tuple, List, Optional, cast, Iterable
import numpy as np
import quimb
import quimb.tensor as qtn
import cirq
@lru_cache()
def _qpos_tag(qubits: Union[cirq.LineQubit, Tuple[cirq.LineQubit]]):
"""Given a qubit or qubits, return a "position ... | {
"repo_name": "quantumlib/Cirq",
"path": "cirq-core/cirq/contrib/quimb/density_matrix.py",
"copies": "1",
"size": "8487",
"license": "apache-2.0",
"hash": -2706866796492286000,
"line_mean": 38.4744186047,
"line_max": 98,
"alpha_frac": 0.5805349358,
"autogenerated": false,
"ratio": 3.3139398672393... |
from functools import lru_cache
from wrapt import synchronized
from time import time
from collections import namedtuple
from util import iprint
TimeSignature = namedtuple("TimeSignature", ["top", "bottom"])
TimeReport = namedtuple("TimeReport", ["delta", "measure", "signature", "tick", "bpm", "prog", "playing"])
"""... | {
"repo_name": "echolox/smartbcr2k",
"path": "smci/clock.py",
"copies": "1",
"size": "3365",
"license": "mit",
"hash": -2677691082079889000,
"line_mean": 26.5819672131,
"line_max": 121,
"alpha_frac": 0.6005943536,
"autogenerated": false,
"ratio": 3.6299892125134843,
"config_test": false,
"has_... |
from functools import lru_cache
import json
import re
import typing
import warnings
from django import template
from django.conf import settings
from django.utils.encoding import force_str
from django.utils.html import format_html
from django.utils.safestring import mark_safe
import pubcode
from ..models import UITex... | {
"repo_name": "jlaunonen/kirppu",
"path": "kirppu/templatetags/kirppu_tags.py",
"copies": "1",
"size": "6029",
"license": "mit",
"hash": -2683243165230529500,
"line_mean": 30.0773195876,
"line_max": 96,
"alpha_frac": 0.6261403218,
"autogenerated": false,
"ratio": 3.656155245603396,
"config_test... |
from functools import lru_cache
import logging
import lxml.html
from cssselect import HTMLTranslator
class SelectorException(RuntimeError):
def __init__(self, selector, document):
self.selector = selector
self.doc = document
translator = HTMLTranslator()
@lru_cache()
def xpath(pattern):
re... | {
"repo_name": "orf/cyborg",
"path": "cyborg/selector.py",
"copies": "1",
"size": "1630",
"license": "apache-2.0",
"hash": 3957104478310924300,
"line_mean": 24.0769230769,
"line_max": 82,
"alpha_frac": 0.6404907975,
"autogenerated": false,
"ratio": 4.201030927835052,
"config_test": false,
"has... |
from functools import lru_cache
import logging
import pandas as pd
from discoutils.thesaurus_loader import Vectors
from eval.pipeline.bov import ThesaurusVectorizer
class MultiVectors(Vectors):
def __init__(self, vectors):
self.vectors = vectors
def init_sims(self, *args, **kwargs):
for v in ... | {
"repo_name": "mbatchkarov/dc_evaluation",
"path": "eval/pipeline/multivectors.py",
"copies": "1",
"size": "3155",
"license": "bsd-3-clause",
"hash": -2026673979519361500,
"line_mean": 42.2328767123,
"line_max": 115,
"alpha_frac": 0.5635499208,
"autogenerated": false,
"ratio": 4.162269129287599,
... |
from functools import lru_cache
import logging
import requests
import urllib
from eva_cttv_pipeline.trait_mapping.utils import json_request
OLS_EFO_SERVER = 'https://www.ebi.ac.uk/ols'
# The setting for local OLS installation should be uncommented if necessary. Note that the link
# for the local deployment is differ... | {
"repo_name": "EBIvariation/eva-cttv-pipeline",
"path": "eva_cttv_pipeline/trait_mapping/ols.py",
"copies": "1",
"size": "3709",
"license": "apache-2.0",
"hash": 5185457994106447000,
"line_mean": 36.8469387755,
"line_max": 118,
"alpha_frac": 0.6872472365,
"autogenerated": false,
"ratio": 3.535748... |
from functools import lru_cache
import logging
import warnings
import civis
from civis.resources import generate_classes_maybe_cached
from civis._utils import get_api_key
from civis._deprecation import deprecate_param
log = logging.getLogger(__name__)
RETRY_CODES = [429, 502, 503, 504]
RETRY_VERBS = ['HEAD', 'TRACE... | {
"repo_name": "civisanalytics/civis-python",
"path": "civis/civis.py",
"copies": "1",
"size": "14803",
"license": "bsd-3-clause",
"hash": -5328278124501232000,
"line_mean": 34.3293556086,
"line_max": 79,
"alpha_frac": 0.5673174357,
"autogenerated": false,
"ratio": 4.5241442542787285,
"config_te... |
from functools import lru_cache
import math
class Solution:
def mergeStones(self, stones, K: int) -> int:
if (len(stones) - 1) % (K - 1):
return -1
presum = [0] * (1 + len(stones))
for i in range(len(stones)):
presum[i + 1] = presum[i] + stones[i]
@lru_cache(... | {
"repo_name": "jiadaizhao/LeetCode",
"path": "0901-1000/1000-Minimum Cost to Merge Stones/1000-Minimum Cost to Merge Stones.py",
"copies": "1",
"size": "1455",
"license": "mit",
"hash": -7542997399918738000,
"line_mean": 33.6428571429,
"line_max": 105,
"alpha_frac": 0.4652920962,
"autogenerated": f... |
from functools import lru_cache
import math
from skimage.transform import resize
from rectpack import newPacker, SORT_AREA
from rectpack.guillotine import GuillotineBafSlas
import numpy as np
import pandas as pd
from ifcb.data.adc import SCHEMA_VERSION_1
from ifcb.data.stitching import InfilledImages
class Mosaic(... | {
"repo_name": "joefutrelle/pyifcb",
"path": "ifcb/viz/mosaic.py",
"copies": "1",
"size": "2322",
"license": "mit",
"hash": 4971968666164284000,
"line_mean": 35.873015873,
"line_max": 98,
"alpha_frac": 0.5684754522,
"autogenerated": false,
"ratio": 3.3997071742313323,
"config_test": false,
"ha... |
from functools import lru_cache
import numpy as np
from menpo3d.correspond import non_rigid_icp
from .data import load_template
def smootherstep(x, x_min, x_max):
y = np.clip((x - x_min) / (x_max - x_min), 0, 1)
return 6 * (y ** 5) - 15 * (y ** 4) + 10 * (y ** 3)
def generate_data_weights(template, nosetip,... | {
"repo_name": "menpo/lsfm",
"path": "lsfm/correspond.py",
"copies": "1",
"size": "2864",
"license": "bsd-3-clause",
"hash": 3206032790369035000,
"line_mean": 38.7777777778,
"line_max": 79,
"alpha_frac": 0.5101256983,
"autogenerated": false,
"ratio": 3.269406392694064,
"config_test": false,
"h... |
from functools import lru_cache
import os
from subprocess import call, DEVNULL
from time import sleep
# Only available on MacOS
# Install with `pip install pyobj`
from AppKit import NSScreen
from . import BaseSystem
class System(BaseSystem):
@property
def browser_path(self):
return os.path.join('/'... | {
"repo_name": "foxxyz/multibrowse",
"path": "systems/mac.py",
"copies": "1",
"size": "1161",
"license": "mit",
"hash": -2261566442469482000,
"line_mean": 29.5526315789,
"line_max": 107,
"alpha_frac": 0.5831180017,
"autogenerated": false,
"ratio": 4.088028169014085,
"config_test": false,
"has_... |
from functools import lru_cache
import os
from subprocess import check_output, CalledProcessError, STDOUT
def _check(path):
if type(path) is not str:
raise ValueError(
"path must be specified as str (actual: {})".format(type(path)))
if not os.path.exists(path):
raise FileNotFoundEr... | {
"repo_name": "chantera/teras",
"path": "teras/utils/git.py",
"copies": "1",
"size": "1945",
"license": "mit",
"hash": 299325095899491800,
"line_mean": 27.1884057971,
"line_max": 76,
"alpha_frac": 0.6107969152,
"autogenerated": false,
"ratio": 3.5108303249097474,
"config_test": false,
"has_no... |
from functools import lru_cache
import os
import glob
import copy
from itertools import product
import numpy as np
from scipy.ndimage import map_coordinates
from scipy.interpolate import interp1d,RegularGridInterpolator,\
UnivariateSpline
import astropy.units as u
from astropy.io import... | {
"repo_name": "drgmk/sdf",
"path": "sdf/model.py",
"copies": "1",
"size": "47700",
"license": "mit",
"hash": 5627041390633751000,
"line_mean": 35.3290175171,
"line_max": 90,
"alpha_frac": 0.5379035639,
"autogenerated": false,
"ratio": 3.9581777445855115,
"config_test": false,
"has_no_keywords... |
from functools import lru_cache
import os
import glob
import binarytree as bt
import numpy as np
import emcee
# in case we don't have this module
try:
import classifier.photometry
import classifier.spectra
classifier_module = True
except ImportError:
classifier_module = False
from . import model
from... | {
"repo_name": "drgmk/sdf",
"path": "sdf/fitting.py",
"copies": "1",
"size": "21568",
"license": "mit",
"hash": -6115587222771727000,
"line_mean": 30.7176470588,
"line_max": 104,
"alpha_frac": 0.5699183976,
"autogenerated": false,
"ratio": 3.447019338341058,
"config_test": false,
"has_no_keywo... |
from functools import lru_cache
import os
import rethinkdb as r
from sondra.document.schema_parser import ValueHandler
try:
from werkzeug.utils import secure_filename
except ImportError:
import re
def secure_filename(name):
name = re.sub(r'\s+', '-', name) # Replace white space with dash
... | {
"repo_name": "JeffHeard/sondra",
"path": "sondra/files.py",
"copies": "1",
"size": "7919",
"license": "apache-2.0",
"hash": 7843037000418739000,
"line_mean": 33.5807860262,
"line_max": 119,
"alpha_frac": 0.6036115671,
"autogenerated": false,
"ratio": 3.9555444555444557,
"config_test": false,
... |
from functools import lru_cache
import os.path
import pickle
import glob
import time
import json
import numpy as np
from scipy.stats import truncnorm
from scipy.optimize import minimize
import matplotlib.pyplot as plt
import corner
import astropy.units as u
from . import photometry
from . import spectrum
from . impor... | {
"repo_name": "drgmk/sdf",
"path": "sdf/result.py",
"copies": "1",
"size": "39493",
"license": "mit",
"hash": 1001727455177722800,
"line_mean": 37.1574879227,
"line_max": 109,
"alpha_frac": 0.5347276733,
"autogenerated": false,
"ratio": 3.6936962214739992,
"config_test": false,
"has_no_keywor... |
from functools import lru_cache
import pandas as pd
import numpy as np
from collections import namedtuple
from pathlib import Path
import artistools
def parse_adata(fadata, phixsdict, ionlist):
"""Generate ions and their level lists from adata.txt."""
firstlevelnumber = 1
for line in fadata:
if n... | {
"repo_name": "lukeshingles/artistools",
"path": "artistools/atomic/__init__.py",
"copies": "1",
"size": "6708",
"license": "mit",
"hash": -3191612066305810400,
"line_mean": 35.6612021858,
"line_max": 118,
"alpha_frac": 0.6042039356,
"autogenerated": false,
"ratio": 3.5586206896551724,
"config_... |
from functools import lru_cache
import random
import re
from sqlalchemy import Column, String
from seabird.plugin import Plugin, CommandMixin
from .db import Base, DatabaseMixin
class Bleep(Base):
__tablename__ = "bleep"
bad_word = Column(String, primary_key=True)
replacement = Column(String)
class ... | {
"repo_name": "belak/pyseabird",
"path": "seabird/modules/bleep.py",
"copies": "2",
"size": "2600",
"license": "mit",
"hash": 9129577346569968000,
"line_mean": 27.5714285714,
"line_max": 80,
"alpha_frac": 0.5753846154,
"autogenerated": false,
"ratio": 3.903903903903904,
"config_test": false,
... |
from functools import lru_cache
import re
from subprocess import call, check_output, DEVNULL, CalledProcessError
from . import BaseSystem
BINARIES = [
'chromium-browser', # ubuntu/debian
'chromium', # arch
'google-chrome-stable', # arch
]
class System(BaseSystem):
@property
@lru_... | {
"repo_name": "foxxyz/multibrowse",
"path": "systems/linux.py",
"copies": "1",
"size": "1121",
"license": "mit",
"hash": -8443970751044435000,
"line_mean": 31.0285714286,
"line_max": 114,
"alpha_frac": 0.5637823372,
"autogenerated": false,
"ratio": 3.9059233449477353,
"config_test": false,
"h... |
from functools import lru_cache
import re
from discord.ext import commands
from ..data import fighters as _fighters
from .errors import SmashError
WORD = re.compile(r'\W+')
def find_ngrams(text: str, number: int = 3) -> set:
"""https://stackoverflow.com/a/52389482
returns a set of ngrams for the given stri... | {
"repo_name": "mikevb1/discordbot",
"path": "cogs/smash/models/fighter.py",
"copies": "1",
"size": "3267",
"license": "mit",
"hash": -4853336788604306000,
"line_mean": 28.1696428571,
"line_max": 102,
"alpha_frac": 0.6192225283,
"autogenerated": false,
"ratio": 3.594059405940594,
"config_test": ... |
from functools import lru_cache
import requests
from urllib.parse import quote_plus
import config
_headers = {"user-agent": "/u/gracefulcharity card bot",
"X-Mashape-Authorization": config.MASHAPE_API_KEY}
BASE_URI = 'https://yugiohprices.p.mashape.com'
@lru_cache(maxsize=128)
def get_card_data(card_n... | {
"repo_name": "burkean/gracefulcharitybot",
"path": "gracefulcharity/yugiohprices.py",
"copies": "1",
"size": "1027",
"license": "mit",
"hash": -4387691744370818600,
"line_mean": 26.0263157895,
"line_max": 77,
"alpha_frac": 0.5959104187,
"autogenerated": false,
"ratio": 3.694244604316547,
"conf... |
from functools import lru_cache
import requests, re, isodate
from cache import TimedObjCache
import config
# YouTube utilities
_yt_sigs = ["youtube.com", "youtu.be"]
_yt_headers = {"User-Agent": config.useragent}
_yt_api_base = "https://www.googleapis.com/youtube/v3/"
_yt_video_url = _yt_api_base+"videos?part={type}&... | {
"repo_name": "TheEnigmaBlade/SpamShark",
"path": "media_util.py",
"copies": "1",
"size": "5284",
"license": "mit",
"hash": 5188566427218651000,
"line_mean": 28.1933701657,
"line_max": 155,
"alpha_frac": 0.6905753217,
"autogenerated": false,
"ratio": 2.8937568455640745,
"config_test": false,
... |
from functools import lru_cache
import time
from sauna.plugins.base import PsutilPlugin
from sauna.plugins import human_to_bytes, bytes_to_human, PluginRegister
my_plugin = PluginRegister('Network')
@my_plugin.plugin()
class Network(PsutilPlugin):
def __init__(self, config):
super().__init__(config)
... | {
"repo_name": "NicolasLM/sauna",
"path": "sauna/plugins/ext/network.py",
"copies": "1",
"size": "3029",
"license": "bsd-2-clause",
"hash": -3209681635300051500,
"line_mean": 28.9900990099,
"line_max": 73,
"alpha_frac": 0.5546384946,
"autogenerated": false,
"ratio": 3.5803782505910164,
"config_t... |
from functools import lru_cache
from aiohttp_session import get_session
from wtforms import Form, PasswordField
from wtforms.fields.html5 import EmailField
from wtforms.validators import Required, EqualTo, Length, Email
from wtforms.csrf.session import SessionCSRF
from .cfg import cfg
from .utils import is_confirmati... | {
"repo_name": "imbolc/aiohttp-login",
"path": "aiohttp_login/forms.py",
"copies": "1",
"size": "4297",
"license": "isc",
"hash": 2105188118332951000,
"line_mean": 29.9136690647,
"line_max": 70,
"alpha_frac": 0.5466604608,
"autogenerated": false,
"ratio": 4.706462212486309,
"config_test": false,... |
from functools import lru_cache
from aiohttp.web_exceptions import HTTPNotFound
from .models import Departamentos
import chilero.web
@lru_cache()
def departamentos():
return Departamentos.load()
@lru_cache()
def search(keywords):
def _do_search():
for m in departamentos().as_complete_choices():
... | {
"repo_name": "guate/division-politica",
"path": "guate/division_politica/resources.py",
"copies": "1",
"size": "2335",
"license": "mit",
"hash": 2446156780124314000,
"line_mean": 27.4756097561,
"line_max": 99,
"alpha_frac": 0.5498929336,
"autogenerated": false,
"ratio": 4.025862068965517,
"con... |
from functools import lru_cache
from .concurrency import ConcurrentShelf
class AddressDictionary():
def __init__(self, file_name):
self._file_name = file_name
self._closed = False
self._shelf = None
self._shelf = ConcurrentShelf(file_name)
self._shelf.lock()
if '__... | {
"repo_name": "probprog/pyprob",
"path": "pyprob/address_dictionary.py",
"copies": "1",
"size": "1116",
"license": "bsd-2-clause",
"hash": -6442568795722627000,
"line_mean": 30,
"line_max": 49,
"alpha_frac": 0.5304659498,
"autogenerated": false,
"ratio": 3.509433962264151,
"config_test": false,... |
from functools import lru_cache
from conditional import ldap
def _ldap_get_group_members(group):
return ldap.get_group(group).get_members()
def _ldap_is_member_of_group(member, group):
group_list = member.get("memberOf")
for group_dn in group_list:
if group == group_dn.split(",")[0][3:]:
... | {
"repo_name": "RamZallan/conditional",
"path": "conditional/util/ldap.py",
"copies": "1",
"size": "3553",
"license": "mit",
"hash": -5255855859427642000,
"line_mean": 24.3785714286,
"line_max": 66,
"alpha_frac": 0.7016605685,
"autogenerated": false,
"ratio": 3.163846838824577,
"config_test": fa... |
from functools import lru_cache
from custom import rewards
from stats.models import Award, Reward
_awards_tour = Award.objects.filter(type='tour')
_awards_mission = Award.objects.filter(type='mission')
_awards_sortie = Award.objects.filter(type='sortie')
@lru_cache(maxsize=32)
def get_reward_func(func_name):
r... | {
"repo_name": "Flyingfox646/flyingfox",
"path": "src/stats/rewards.py",
"copies": "1",
"size": "1117",
"license": "mit",
"hash": 1857266294850504700,
"line_mean": 27.641025641,
"line_max": 79,
"alpha_frac": 0.7072515667,
"autogenerated": false,
"ratio": 3.01078167115903,
"config_test": false,
... |
from functools import lru_cache
from deuce import conf
import deuce
import importlib
from deuce.drivers.metadatadriver import MetadataStorageDriver,\
OverlapError, GapError, ConstraintError
# SQL schemas. Note: the schema is versions
# in such a way that new instances always start
# with user version 1, then pr... | {
"repo_name": "rackerlabs/deuce",
"path": "deuce/drivers/sqlite/sqlitemetadatadriver.py",
"copies": "1",
"size": "24162",
"license": "apache-2.0",
"hash": -5310298507624648000,
"line_mean": 25.9064587973,
"line_max": 79,
"alpha_frac": 0.5645641917,
"autogenerated": false,
"ratio": 3.7547785547785... |
from functools import lru_cache
from django.conf import settings
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models import ManyToOneRel
from django.utils import timezone
from django.utils.crypto import get_random_string
from django.utils.translation import ugettext_la... | {
"repo_name": "City-of-Helsinki/kerrokantasi",
"path": "democracy/models/base.py",
"copies": "1",
"size": "7831",
"license": "mit",
"hash": -1523579263042091500,
"line_mean": 39.5751295337,
"line_max": 119,
"alpha_frac": 0.6368279913,
"autogenerated": false,
"ratio": 4.360244988864142,
"config_... |
from functools import lru_cache
from django.contrib.auth import get_permission_codename
from django.db.models import Q
from froide.team.models import Team
AUTH_MAPPING = {
'read': 'view',
'write': 'change',
}
def check_permission(obj, request, verb):
user = request.user
if not user.is_staff:
... | {
"repo_name": "stefanw/froide",
"path": "froide/helper/auth.py",
"copies": "1",
"size": "4514",
"license": "mit",
"hash": -6740018870848722000,
"line_mean": 23.6666666667,
"line_max": 77,
"alpha_frac": 0.6240584847,
"autogenerated": false,
"ratio": 3.6848979591836737,
"config_test": false,
"h... |
from functools import lru_cache
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.utils.text import capfirst
from django.utils.translation import gettext as _
fr... | {
"repo_name": "zerolab/wagtail",
"path": "wagtail/contrib/settings/views.py",
"copies": "10",
"size": "3579",
"license": "bsd-3-clause",
"hash": 4990418021477917000,
"line_mean": 34.0882352941,
"line_max": 104,
"alpha_frac": 0.666387259,
"autogenerated": false,
"ratio": 3.8986928104575163,
"con... |
from functools import lru_cache
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.text import capfirst
from django.utils.translation import ugettext as _
from wagtail.admin import messages
from wagtail... | {
"repo_name": "mixxorz/wagtail",
"path": "wagtail/contrib/settings/views.py",
"copies": "3",
"size": "3474",
"license": "bsd-3-clause",
"hash": 3138329064386283500,
"line_mean": 33.74,
"line_max": 104,
"alpha_frac": 0.6614853195,
"autogenerated": false,
"ratio": 3.877232142857143,
"config_test"... |
from functools import lru_cache
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from events.models import Event, Keyword, KeywordSet, DataSource
HELSINKI_KEYWORD_SET_DATA = {
'id': 'helsinki:audiences',
'name_en': 'Helsinki audiences',
'name_fi': 'Helsi... | {
"repo_name": "City-of-Helsinki/linkedevents",
"path": "events/management/commands/add_helsinki_audience.py",
"copies": "1",
"size": "5368",
"license": "mit",
"hash": -7952355949957708000,
"line_mean": 41.1653543307,
"line_max": 117,
"alpha_frac": 0.6162464986,
"autogenerated": false,
"ratio": 3.... |
from functools import lru_cache
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from events.models import Event, Keyword, KeywordSet
HELSINKI_KEYWORD_SET_DATA = {
'id': 'helsinki:audiences',
'name_en': 'Helsinki audiences',
'name_fi': 'Helsinki kohderyh... | {
"repo_name": "tuomas777/linkedevents",
"path": "events/management/commands/add_helsinki_audience.py",
"copies": "2",
"size": "4899",
"license": "bsd-3-clause",
"hash": -4053264242396634000,
"line_mean": 39.0655737705,
"line_max": 117,
"alpha_frac": 0.6123158756,
"autogenerated": false,
"ratio": ... |
from functools import lru_cache
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from events.models import Keyword, KeywordSet, DataSource
HELFI_KEYWORD_SET_DATA = {
'id': 'helfi:topics',
'name_en': 'www.hel.fi themes',
'name_fi': 'www.hel.fi-aihepiirit'... | {
"repo_name": "City-of-Helsinki/linkedevents",
"path": "events/management/commands/add_helfi_topics.py",
"copies": "1",
"size": "4146",
"license": "mit",
"hash": 2507051638608980500,
"line_mean": 33.475,
"line_max": 116,
"alpha_frac": 0.5678027556,
"autogenerated": false,
"ratio": 3.3606823720552... |
from functools import lru_cache
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from events.models import Keyword, KeywordSet, DataSource
HELSINKI_KEYWORD_SET_DATA = {
'id': 'helsinki:topics',
'name_en': 'Helsinki topics',
'name_fi': 'Helsinki-aihepiiri... | {
"repo_name": "City-of-Helsinki/linkedevents",
"path": "events/management/commands/add_helsinki_topics.py",
"copies": "1",
"size": "3012",
"license": "mit",
"hash": 6162979680510005000,
"line_mean": 35.265060241,
"line_max": 114,
"alpha_frac": 0.6255813953,
"autogenerated": false,
"ratio": 3.1321... |
from functools import lru_cache
from django import http
from django.conf import settings
from catalog import typing
from catalog.context.base import Products, Tags
from images.models import ImageQuerySet
from refarm_pagination.context import PaginationContext
class ProductBrands(Products):
def __init__(self, p... | {
"repo_name": "fidals/refarm-site",
"path": "catalog/context/products.py",
"copies": "1",
"size": "2173",
"license": "mit",
"hash": 2764574087406159400,
"line_mean": 25.5,
"line_max": 82,
"alpha_frac": 0.5996318454,
"autogenerated": false,
"ratio": 4.294466403162056,
"config_test": false,
"ha... |
from functools import lru_cache
from django import template
from django.conf import settings
from django.forms.formsets import BaseFormSet
from django.template.loader import get_template
from crispy_forms.helper import FormHelper
from crispy_forms.utils import TEMPLATE_PACK, get_template_pack
register = template.Lib... | {
"repo_name": "django-crispy-forms/django-crispy-forms",
"path": "crispy_forms/templatetags/crispy_forms_tags.py",
"copies": "2",
"size": "10384",
"license": "mit",
"hash": -7153359252313214000,
"line_mean": 37.1764705882,
"line_max": 116,
"alpha_frac": 0.6126733436,
"autogenerated": false,
"rati... |
from functools import lru_cache
from django import template
from django.conf import settings
from django.forms import boundfield
from django.forms.formsets import BaseFormSet
from django.template import Context
from django.template.loader import get_template
from django.utils.safestring import mark_safe
from crispy_f... | {
"repo_name": "maraujop/django-crispy-forms",
"path": "crispy_forms/templatetags/crispy_forms_filters.py",
"copies": "2",
"size": "4743",
"license": "mit",
"hash": -2199933348697774000,
"line_mean": 29.0189873418,
"line_max": 88,
"alpha_frac": 0.6209150327,
"autogenerated": false,
"ratio": 3.7672... |
from functools import lru_cache
from django.utils.crypto import salted_hmac, constant_time_compare
from django.urls import reverse
from django.conf import settings
from crossdomainmedia import CrossDomainMediaAuth
from froide.helper.auth import (
can_read_object, can_write_object,
can_manage_object, has_auth... | {
"repo_name": "stefanw/froide",
"path": "froide/foirequest/auth.py",
"copies": "1",
"size": "5149",
"license": "mit",
"hash": 2059938595774656000,
"line_mean": 27.9269662921,
"line_max": 78,
"alpha_frac": 0.6791610021,
"autogenerated": false,
"ratio": 3.7474526928675402,
"config_test": false,
... |
from functools import lru_cache
from fastapi import Depends
from opentrons.api import MainRouter
from opentrons.hardware_control import ThreadManager, ThreadedAsyncLock
from robot_server.service.session.manager import SessionManager
from robot_server.service.legacy.rpc import RPCServer
from . import HARDWARE_APP_KEY
... | {
"repo_name": "OpenTrons/opentrons_sdk",
"path": "robot-server/robot_server/service/dependencies.py",
"copies": "1",
"size": "1535",
"license": "apache-2.0",
"hash": -2461046836795708000,
"line_mean": 27.9622641509,
"line_max": 77,
"alpha_frac": 0.7185667752,
"autogenerated": false,
"ratio": 3.83... |
from functools import lru_cache
from gfxutils import Color, V2
from . import core
from .image import Image, Sprite
class Font:
def __init__(self, renderer, filename, size=24):
self.renderer = renderer
self.font = core.open_font(filename.encode('utf-8'), size)
@lru_cache()
def render(se... | {
"repo_name": "Steven-Wilson/pyxlgame",
"path": "font.py",
"copies": "1",
"size": "1075",
"license": "mit",
"hash": -9098668530189352000,
"line_mean": 32.59375,
"line_max": 74,
"alpha_frac": 0.6046511628,
"autogenerated": false,
"ratio": 3.7587412587412588,
"config_test": false,
"has_no_keywo... |
from functools import lru_cache
from gfxutils import V2, Color, Rect
from . import core
DRAW_BORDERS = False
class Image:
'Stores image data -- Cannot be drawn directly'
def __init__(self, renderer, texture, size, frames):
self.renderer = renderer
self.texture = texture
self.size ... | {
"repo_name": "Steven-Wilson/pyxlgame",
"path": "image.py",
"copies": "1",
"size": "4574",
"license": "mit",
"hash": 7121355629803069000,
"line_mean": 31.2112676056,
"line_max": 93,
"alpha_frac": 0.5172715348,
"autogenerated": false,
"ratio": 3.859915611814346,
"config_test": false,
"has_no_k... |
from functools import lru_cache
from hwt.hdl.operatorDefs import AllOps
from hwtHls.allocator.allocator import HlsAllocator
from math import log2
from hwtHls.platform.opRealizationMeta import OpRealizationMeta
from hwtHls.scheduler.force_directed import ForceDirectedScheduler
from hwtHls.scheduler.list_schedueling imp... | {
"repo_name": "Nic30/hwtHls",
"path": "hwtHls/platform/virtual.py",
"copies": "1",
"size": "2845",
"license": "mit",
"hash": -3404496479752239000,
"line_mean": 25.3425925926,
"line_max": 78,
"alpha_frac": 0.5901581722,
"autogenerated": false,
"ratio": 3.17877094972067,
"config_test": false,
"... |
from functools import lru_cache
from hwtHls.platform.interpolations import interpolate_area_2d, downscale_width
class AbstractXilinxPlatform():
def __init__(self):
# {inputCnt: (lut6_coef, mux7f_coef, mux8f_coef)}
self.mux_coefs = self._initMuxCoefs()
self.mux_coefs_inputs = list(self.mux... | {
"repo_name": "Nic30/hwtHls",
"path": "hwtHls/platform/xilinx/abstract.py",
"copies": "1",
"size": "3632",
"license": "mit",
"hash": 9179609975619353000,
"line_mean": 31.7207207207,
"line_max": 79,
"alpha_frac": 0.5547907489,
"autogenerated": false,
"ratio": 3.588932806324111,
"config_test": fa... |
from functools import lru_cache
from . import app, configure, request
from . import get_or_create, commit
from . import BaseIngestResource, QueryResource
from ..models.cinder import (
Snapshot, AvailabilityZone, Volume, VolumeSnapshot, VolumeStatus, VolumeState,
VolumeAttachment)
class SnapshotResource(Quer... | {
"repo_name": "eResearchSA/reporting-unified",
"path": "unified/apis/cinder.py",
"copies": "1",
"size": "3285",
"license": "apache-2.0",
"hash": -2861473051433048600,
"line_mean": 28.0707964602,
"line_max": 82,
"alpha_frac": 0.5482496195,
"autogenerated": false,
"ratio": 5.239234449760765,
"con... |
from functools import lru_cache
from . import app, configure, request
from . import get_or_create, commit
from . import QueryResource, BaseIngestResource
from nectar import get_domain
from ..models.keystone import (
Snapshot, Account, Tenant, Domain, Membership,
AccountReference, AccountReferenceMapping)
cl... | {
"repo_name": "eResearchSA/reporting-unified",
"path": "unified/apis/keystone.py",
"copies": "1",
"size": "3389",
"license": "apache-2.0",
"hash": -2952160291906767000,
"line_mean": 26.7786885246,
"line_max": 79,
"alpha_frac": 0.5768663323,
"autogenerated": false,
"ratio": 4.961932650073207,
"c... |
from functools import lru_cache
from notifications_utils.columns import Columns
from notifications_utils.sanitise_text import SanitiseASCII
from .data import (
ADDITIONAL_SYNONYMS,
COUNTRIES_AND_TERRITORIES,
EUROPEAN_ISLANDS,
ROYAL_MAIL_EUROPEAN,
UK,
UK_ISLANDS,
WELSH_NAMES,
Postage,
)... | {
"repo_name": "alphagov/notifications-utils",
"path": "notifications_utils/countries/__init__.py",
"copies": "1",
"size": "2164",
"license": "mit",
"hash": 8113664969215347000,
"line_mean": 24.6666666667,
"line_max": 72,
"alpha_frac": 0.6108534323,
"autogenerated": false,
"ratio": 3.6981132075471... |
from functools import lru_cache
from numpy import (
asarray,
atleast_2d,
concatenate,
empty,
eye,
kron,
log,
sqrt,
tensordot,
zeros_like,
)
from numpy.linalg import eigh
from optimix import Function
from ._free import FreeFormCov
from ._lrfree import LRFreeFormCov
from .._util... | {
"repo_name": "glimix/limix-inference",
"path": "glimix_core/cov/_kron2sum.py",
"copies": "1",
"size": "11640",
"license": "mit",
"hash": -3970539704452696000,
"line_mean": 25.0092592593,
"line_max": 88,
"alpha_frac": 0.4744571022,
"autogenerated": false,
"ratio": 2.8125156445556945,
"config_te... |
from functools import lru_cache
from scipy.special import binom
from vectortween.Animation import Animation
from vectortween.ParallelAnimation import ParallelAnimation
from vectortween.ParametricAnimation import ParametricAnimation
class BezierCurveAnimation(Animation):
"""
animation of a 2d position (conve... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/BezierCurveAnimation.py",
"copies": "1",
"size": "2705",
"license": "mit",
"hash": -6104968054944312000,
"line_mean": 43.3442622951,
"line_max": 115,
"alpha_frac": 0.6277264325,
"autogenerated": false,
"ratio": 3.665311653116531,
"confi... |
from functools import lru_cache
from sqlparse import parse, tokens
from sqlparse.sql import Comment, IdentifierList, Parenthesis, Token
@lru_cache(maxsize=500)
def sql_fingerprint(query, hide_columns=True):
"""
Simplify a query, taking away exact values and fields selected.
Imperfect but better than sup... | {
"repo_name": "YPlan/django-perf-rec",
"path": "src/django_perf_rec/sql.py",
"copies": "1",
"size": "4796",
"license": "mit",
"hash": -4027937071381561000,
"line_mean": 28.975,
"line_max": 84,
"alpha_frac": 0.5806922435,
"autogenerated": false,
"ratio": 3.7645211930926217,
"config_test": false,... |
from functools import lru_cache
from starlette import status
from fastapi import Depends, HTTPException
from opentrons.api import MainRouter
from opentrons.hardware_control import ThreadManager, ThreadedAsyncLock
from robot_server.hardware_wrapper import HardwareWrapper
from robot_server.service.session.manager impor... | {
"repo_name": "OpenTrons/opentrons-api",
"path": "robot-server/robot_server/service/dependencies.py",
"copies": "2",
"size": "2299",
"license": "apache-2.0",
"hash": 2336353709215379000,
"line_mean": 29.25,
"line_max": 77,
"alpha_frac": 0.708568943,
"autogenerated": false,
"ratio": 4.090747330960... |
from functools import lru_cache
from sympy import Symbol
from sympy.parsing.sympy_parser import parse_expr
from vectortween.Animation import Animation
from vectortween.Tween import Tween
class ParametricAnimation(Animation):
"""
class to animate the value of a number between startframe and stopframe
twe... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/ParametricAnimation.py",
"copies": "1",
"size": "4846",
"license": "mit",
"hash": 6925188636088629000,
"line_mean": 36.2769230769,
"line_max": 121,
"alpha_frac": 0.5980189847,
"autogenerated": false,
"ratio": 3.988477366255144,
"config_... |
from functools import lru_cache
from sympy import Symbol, pi, sin, cos
from sympy.parsing.sympy_parser import parse_expr
from vectortween.Animation import Animation
from vectortween.ParallelAnimation import ParallelAnimation
from vectortween.ParametricAnimation import ParametricAnimation
class PolarAnimation(Animat... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/PolarAnimation.py",
"copies": "1",
"size": "7189",
"license": "mit",
"hash": -696790920484641500,
"line_mean": 43.93125,
"line_max": 116,
"alpha_frac": 0.5868688274,
"autogenerated": false,
"ratio": 3.5695134061569016,
"config_test": fa... |
from functools import lru_cache
from vectortween.Animation import Animation
from vectortween.Mapping import Mapping
from vectortween.Tween import Tween
class NumberAnimation(Animation):
"""
class to animate the value of a number between startframe and stopframe
tweening optionally can be applied (default... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/NumberAnimation.py",
"copies": "1",
"size": "2356",
"license": "mit",
"hash": -6466285005523409000,
"line_mean": 33.6470588235,
"line_max": 107,
"alpha_frac": 0.6056876061,
"autogenerated": false,
"ratio": 4.184724689165186,
"config_tes... |
from functools import lru_cache
from vectortween.Animation import Animation
from vectortween.NumberAnimation import NumberAnimation
from vectortween.Tween import Tween
class PointAnimation(Animation):
"""
animation of a 2d position (convenience class composing two number animations)
"""
def __init__... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/PointAnimation.py",
"copies": "1",
"size": "2417",
"license": "mit",
"hash": -9050388031006177000,
"line_mean": 45.4807692308,
"line_max": 107,
"alpha_frac": 0.6578402979,
"autogenerated": false,
"ratio": 3.7472868217054263,
"config_tes... |
from functools import lru_cache
from vectortween.Animation import Animation
from vectortween.NumberAnimation import NumberAnimation
class ColorAnimation(Animation):
"""
class to animate a color
colors are specified as tuples (r,g,b) where for each color component c 0<=c<=1
"""
def __init__(... | {
"repo_name": "shimpe/pyvectortween",
"path": "vectortween/ColorAnimation.py",
"copies": "1",
"size": "3700",
"license": "mit",
"hash": 1762736590989704000,
"line_mean": 45.835443038,
"line_max": 132,
"alpha_frac": 0.6364864865,
"autogenerated": false,
"ratio": 3.9278131634819533,
"config_test"... |
from functools import lru_cache
import hashlib
salt = 'yjdafjpo'
#salt = 'abc'
hashes = {}
@lru_cache(None)
def first_with_three(s):
cnt = 0
prev_x = None
for x in s:
if prev_x != x:
cnt = 0
cnt += 1
if cnt == 3:
return x
prev_x = x
return... | {
"repo_name": "matslindh/codingchallenges",
"path": "adventofcode2016/14.py",
"copies": "1",
"size": "1448",
"license": "mit",
"hash": -9010889376516700000,
"line_mean": 15.6551724138,
"line_max": 73,
"alpha_frac": 0.4613259669,
"autogenerated": false,
"ratio": 3.196467991169978,
"config_test":... |
from functools import lru_cache
import jsonref
from ocdsmerge.util import get_release_schema_url, get_tags
def get_merge_rules(schema=None):
"""
Returns merge rules as key-value pairs, in which the key is a JSON path as a tuple, and the value is a list of
merge properties whose values are `true`.
""... | {
"repo_name": "open-contracting/ocds-merge",
"path": "ocdsmerge/rules.py",
"copies": "1",
"size": "3045",
"license": "bsd-3-clause",
"hash": -657399837298094800,
"line_mean": 38.5454545455,
"line_max": 119,
"alpha_frac": 0.6357963875,
"autogenerated": false,
"ratio": 3.6078199052132702,
"config... |
from functools import lru_cache
import logging
from typing import Dict
import spot
from config import LTL3BA_PATH
from helpers.python_ext import is_empty_str
from helpers.shell import execute_shell
from interfaces.LTL_to_automaton import LTLToAutomaton
from interfaces.automaton import Automaton
from interfaces.expr ... | {
"repo_name": "5nizza/party-elli",
"path": "LTL_to_atm/translator_via_ltl3ba.py",
"copies": "1",
"size": "2069",
"license": "mit",
"hash": -1540349401247320000,
"line_mean": 39.568627451,
"line_max": 112,
"alpha_frac": 0.6457225713,
"autogenerated": false,
"ratio": 3.4085667215815487,
"config_t... |
from functools import lru_cache
import math
from scipy import optimize, stats, integrate
import numpy as np
import quaternion # adds to numpy # noqa # pylint: disable=unused-import
import cv2
from scipy.optimize import leastsq
from visnav.settings import *
class ImageProc:
latest_opt = None
show_fit = No... | {
"repo_name": "oknuutti/visnav-py",
"path": "visnav/algo/image.py",
"copies": "1",
"size": "16219",
"license": "mit",
"hash": -6727986656705697000,
"line_mean": 36.6310904872,
"line_max": 159,
"alpha_frac": 0.5298107158,
"autogenerated": false,
"ratio": 3.226377561169684,
"config_test": false,
... |
from functools import lru_cache
import numpy as np
from opensfm import bow
from opensfm import feature_loader
from opensfm.dataset import DataSetBase
def unnormalized_vlad(features, centers):
"""Compute unnormalized VLAD histograms from a set of
features in relation to centers.
Returns the unnormalized ... | {
"repo_name": "oscarlorentzon/OpenSfM",
"path": "opensfm/vlad.py",
"copies": "1",
"size": "2003",
"license": "bsd-2-clause",
"hash": 6615733892999443000,
"line_mean": 26.0675675676,
"line_max": 69,
"alpha_frac": 0.6350474289,
"autogenerated": false,
"ratio": 3.4956369982547995,
"config_test": f... |
from functools import lru_cache
import numpy as np
import lie_learn.spaces.S2 as S2
def change_coordinates(coords, p_from='C', p_to='S'):
"""
Change Spherical to Cartesian coordinates and vice versa, for points x in S^3.
We use the following coordinate system:
https://en.wikipedia.org/wiki/N-sphere#... | {
"repo_name": "AMLab-Amsterdam/lie_learn",
"path": "lie_learn/spaces/S3.py",
"copies": "1",
"size": "6760",
"license": "mit",
"hash": 1355352404733448000,
"line_mean": 32.631840796,
"line_max": 119,
"alpha_frac": 0.5434235834,
"autogenerated": false,
"ratio": 3.287451361867704,
"config_test": f... |
from functools import lru_cache
import numpy as np
from ...core.utils import as_id_array
from ...utils.decorators import read_only_array
from ..voronoi.voronoi import DelaunayGraph
class RadialGraphLayout:
@staticmethod
def number_of_nodes(shape):
return np.sum(np.arange(1, shape[0] + 1)) * shape[1]... | {
"repo_name": "cmshobe/landlab",
"path": "landlab/graph/radial/radial.py",
"copies": "3",
"size": "7137",
"license": "mit",
"hash": -384920638785078850,
"line_mean": 26.2404580153,
"line_max": 87,
"alpha_frac": 0.5376208491,
"autogenerated": false,
"ratio": 3.421380632790029,
"config_test": fal... |
from functools import lru_cache
import requests
@lru_cache(maxsize=100000)
def get_label_from_rxcui(rxcui):
url = "https://rxnav.nlm.nih.gov/REST/rxcui/{}/properties.json".format(rxcui)
d = requests.get(url).json()
if d:
return d['properties']['name']
@lru_cache(maxsize=100000)
def get_rxcui_br... | {
"repo_name": "SuLab/scheduled-bots",
"path": "scheduled_bots/drugs/pharma/rxnorm.py",
"copies": "1",
"size": "2134",
"license": "mit",
"hash": -8218233992204811000,
"line_mean": 31.3333333333,
"line_max": 105,
"alpha_frac": 0.6640112465,
"autogenerated": false,
"ratio": 2.8190224570673714,
"co... |
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