text stringlengths 0 1.05M | meta dict |
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from __future__ import absolute_import, division, print_function
from datetime import datetime
from functools import partial
from datashape import discover
from datashape import float32, float64, string, Option, object_, datetime_
import datashape
import pandas as pd
import numpy as np
from ..convert import convert... | {
"repo_name": "cowlicks/odo",
"path": "odo/backends/pandas.py",
"copies": "1",
"size": "2498",
"license": "bsd-3-clause",
"hash": 141218348342755790,
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"line_max": 109,
"alpha_frac": 0.6561248999,
"autogenerated": false,
"ratio": 3.5839311334289814,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from functools import partial
from datashape import discover
from datashape import string, object_, datetime_, Option
import datashape
import pandas as pd
import numpy as np
from ..convert import convert
possibly_missin... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/pandas.py",
"copies": "1",
"size": "2435",
"license": "bsd-3-clause",
"hash": -2816490791385178000,
"line_mean": 24.9042553191,
"line_max": 77,
"alpha_frac": 0.6554414784,
"autogenerated": false,
"ratio": 3.5967503692762186,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from rfc822 import parsedate_tz, mktime_tz
from urlparse import urlparse
from time import time
from typing import Any, Optional # NOQA
from changes.utils.http import build_patch_uri
from .base import Vcs, RevisionResult, ... | {
"repo_name": "dropbox/changes",
"path": "changes/vcs/hg.py",
"copies": "1",
"size": "8035",
"license": "apache-2.0",
"hash": -3294238981464419300,
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"line_max": 112,
"alpha_frac": 0.5632856254,
"autogenerated": false,
"ratio": 3.932941752325012,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from rfc822 import parsedate_tz, mktime_tz
from urlparse import urlparse
from time import time
from changes.utils.http import build_uri
from .base import Vcs, RevisionResult, BufferParser, CommandError, UnknownRevision
LO... | {
"repo_name": "bowlofstew/changes",
"path": "changes/vcs/hg.py",
"copies": "2",
"size": "6962",
"license": "apache-2.0",
"hash": 51399475761799250,
"line_mean": 29.4017467249,
"line_max": 103,
"alpha_frac": 0.5583165757,
"autogenerated": false,
"ratio": 3.9579306424104606,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from rfc822 import parsedate_tz, mktime_tz
from urlparse import urlparse
from .base import Vcs, RevisionResult, BufferParser
LOG_FORMAT = '{node}\x01{author}\x01{date|rfc822date}\x01{p1node} {p2node}\x01{branches}\x01{desc... | {
"repo_name": "alex/changes",
"path": "changes/vcs/hg.py",
"copies": "1",
"size": "2790",
"license": "apache-2.0",
"hash": -4492430468260170000,
"line_mean": 30.3483146067,
"line_max": 103,
"alpha_frac": 0.5394265233,
"autogenerated": false,
"ratio": 3.84297520661157,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from urlparse import urlparse
from typing import Any, Optional # NOQA
from changes.utils.cache import memoize
from changes.utils.http import build_patch_uri
from .base import (
Vcs, RevisionResult, BufferParser, Concu... | {
"repo_name": "dropbox/changes",
"path": "changes/vcs/git.py",
"copies": "1",
"size": "15157",
"license": "apache-2.0",
"hash": 5873495937274967000,
"line_mean": 35.0023752969,
"line_max": 120,
"alpha_frac": 0.5679883882,
"autogenerated": false,
"ratio": 4.00449141347424,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from urlparse import urlparse
from changes.utils.cache import memoize
from changes.utils.http import build_uri
from .base import Vcs, RevisionResult, BufferParser, CommandError, UnknownRevision
from time import time
LOG_... | {
"repo_name": "bowlofstew/changes",
"path": "changes/vcs/git.py",
"copies": "2",
"size": "8959",
"license": "apache-2.0",
"hash": 468944811673513300,
"line_mean": 30.7695035461,
"line_max": 93,
"alpha_frac": 0.5702645385,
"autogenerated": false,
"ratio": 4.015688032272523,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from urlparse import urlparse
from changes.utils.cache import memoize
from .base import Vcs, RevisionResult, BufferParser, CommandError
LOG_FORMAT = '%H\x01%an <%ae>\x01%at\x01%cn <%ce>\x01%ct\x01%P\x01%B\x02'
ORIGIN_PRE... | {
"repo_name": "alex/changes",
"path": "changes/vcs/git.py",
"copies": "1",
"size": "3714",
"license": "apache-2.0",
"hash": -2885829676541598700,
"line_mean": 30.4745762712,
"line_max": 84,
"alpha_frac": 0.5479267636,
"autogenerated": false,
"ratio": 3.9177215189873418,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from toolz import merge
import bisect
import numpy as np
import pandas as pd
from .core import new_dd_object, Series
from . import methods
from ..base import tokenize
class _LocIndexer(object):
""" Helper class for t... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/dataframe/indexing.py",
"copies": "1",
"size": "7647",
"license": "mit",
"hash": -4306386220820054500,
"line_mean": 33.2914798206,
"line_max": 81,
"alpha_frac": 0.5678043677,
"autogenerated": false,
"ratio": 3.8... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
import bisect
import numpy as np
import pandas as pd
def _partition_of_index_value(divisions, val):
""" In which partition does this value lie?
>>> _partition_of_index_value([0, 5, 10], 3)
0
>>> _partitio... | {
"repo_name": "cowlicks/dask",
"path": "dask/dataframe/indexing.py",
"copies": "2",
"size": "2876",
"license": "bsd-3-clause",
"hash": -4400707311823775000,
"line_mean": 26.1320754717,
"line_max": 78,
"alpha_frac": 0.6077885953,
"autogenerated": false,
"ratio": 3.4776299879081014,
"config_test"... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
import numpy as np
import numpy.ma as ma
from scipy.spatial import cKDTree as KDTree
import cf_units
import iris
from iris import Constraint
from iris.cube import CubeList
from iris.pandas import as_cube
from iris.exceptio... | {
"repo_name": "ocefpaf/utilities",
"path": "utilities/tardis.py",
"copies": "2",
"size": "24614",
"license": "mit",
"hash": 7318299326451595000,
"line_mean": 32.1278600269,
"line_max": 79,
"alpha_frac": 0.5768668238,
"autogenerated": false,
"ratio": 3.4579938184883394,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from datetime import datetime, timedelta
from django.db.models import Q
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response import Response
from sentry.app import search
from sentry.api.base import DocSe... | {
"repo_name": "1tush/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "2",
"size": "12113",
"license": "bsd-3-clause",
"hash": -5303712696215774000,
"line_mean": 32.9299719888,
"line_max": 106,
"alpha_frac": 0.5516387352,
"autogenerated": false,
"ratio": 4.51135940409... |
from __future__ import absolute_import, division, print_function
from datetime import datetime, timedelta
from functools import partial
from datashape import discover, Categorical, DateTime
from datashape import string, object_, datetime_, Option
import datashape
import pandas as pd
import numpy as np
from ..conver... | {
"repo_name": "quantopian/odo",
"path": "odo/backends/pandas.py",
"copies": "1",
"size": "3123",
"license": "bsd-3-clause",
"hash": 2349492924634632700,
"line_mean": 27.1351351351,
"line_max": 77,
"alpha_frac": 0.6452129363,
"autogenerated": false,
"ratio": 3.6526315789473682,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
from datetime import datetime
import astropy.units as u
from sunpy.time import parse_time
from sunpy import config
from sunpy.extern.six.moves import range
TIME_FORMAT = config.get('general', 'time_format')
__all__ = ['... | {
"repo_name": "Alex-Ian-Hamilton/sunpy",
"path": "sunpy/time/timerange.py",
"copies": "1",
"size": "10431",
"license": "bsd-2-clause",
"hash": 4260113573274030000,
"line_mean": 28.1368715084,
"line_max": 115,
"alpha_frac": 0.5175917937,
"autogenerated": false,
"ratio": 4.142573471008737,
"confi... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
from django.db import IntegrityError, transaction
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response import Response
from sentry.app import search
from sentry.api.base imp... | {
"repo_name": "nicholasserra/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "2",
"size": "21496",
"license": "bsd-3-clause",
"hash": 6713285384856708000,
"line_mean": 36.2547660312,
"line_max": 144,
"alpha_frac": 0.5289356159,
"autogenerated": false,
"ratio": 4.7747... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
from django.db.models import Q
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response import Response
from sentry.app import search
from sentry.api.base import DocSection, End... | {
"repo_name": "camilonova/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "1",
"size": "9766",
"license": "bsd-3-clause",
"hash": 1807118110907661300,
"line_mean": 31.7718120805,
"line_max": 95,
"alpha_frac": 0.5751587139,
"autogenerated": false,
"ratio": 4.249782419... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
from flask import make_response, request, current_app
from functools import update_wrapper
from ... import py2help
def crossdomain(origin=None, methods=None, headers=None,
automatic_headers=True,
... | {
"repo_name": "FrancescAlted/blaze",
"path": "blaze/io/server/crossdomain.py",
"copies": "6",
"size": "1834",
"license": "bsd-3-clause",
"hash": -2363745160118387700,
"line_mean": 38.0212765957,
"line_max": 87,
"alpha_frac": 0.6199563795,
"autogenerated": false,
"ratio": 4.1776765375854215,
"co... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
from uuid import uuid4
import six
from django.db import IntegrityError, transaction
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response import Response
from sentry.api.bas... | {
"repo_name": "BuildingLink/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "1",
"size": "28583",
"license": "bsd-3-clause",
"hash": 4345379878744416000,
"line_mean": 37.6779431664,
"line_max": 135,
"alpha_frac": 0.5207990764,
"autogenerated": false,
"ratio": 4.92385... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
import functools
import logging
from uuid import uuid4
import six
from django.db import IntegrityError, transaction
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response impo... | {
"repo_name": "ifduyue/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "1",
"size": "40265",
"license": "bsd-3-clause",
"hash": 907701814312215800,
"line_mean": 40.0448521916,
"line_max": 114,
"alpha_frac": 0.5156090898,
"autogenerated": false,
"ratio": 5.01432129514... |
from __future__ import absolute_import, division, print_function
from datetime import timedelta
import logging
from uuid import uuid4
import six
from django.db import IntegrityError, transaction
from django.utils import timezone
from rest_framework import serializers
from rest_framework.response import Response
from... | {
"repo_name": "jean/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "1",
"size": "37609",
"license": "bsd-3-clause",
"hash": 4815199713830203000,
"line_mean": 39.5269396552,
"line_max": 100,
"alpha_frac": 0.517588875,
"autogenerated": false,
"ratio": 4.98859265154529... |
from __future__ import absolute_import, division, print_function
from .disinfect import (
Field,
MappedValueError,
Mapping,
MultiValueError,
Test,
test_and_return,
validate,
sanitize,
)
from .tests import (
Boolean,
Date,
DateTime,
Email,
Enum,
Float,
Instanc... | {
"repo_name": "CorverDevelopment/Disinfect",
"path": "src/disinfect/__init__.py",
"copies": "1",
"size": "1094",
"license": "mit",
"hash": -4702460455042760000,
"line_mean": 15.0882352941,
"line_max": 64,
"alpha_frac": 0.5594149909,
"autogenerated": false,
"ratio": 3.2176470588235295,
"config_t... |
from __future__ import absolute_import, division, print_function
from distutils.version import LooseVersion
import difflib
import math
import os
import numpy as np
from toolz import frequencies, concat
from .core import Array
from ..async import get_sync
from ..sharedict import ShareDict
if LooseVersion(np.__versio... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/utils.py",
"copies": "1",
"size": "2735",
"license": "bsd-3-clause",
"hash": -2554400838261626400,
"line_mean": 26.0792079208,
"line_max": 74,
"alpha_frac": 0.5674588665,
"autogenerated": false,
"ratio": 3.427318295739348,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from distutils.version import LooseVersion
import pandas as pd
import numpy as np
from ..core import DataFrame, Series
from ...base import tokenize
def getnanos(rule):
try:
return getattr(rule, 'nanos', None)
except ValueError:
... | {
"repo_name": "mikegraham/dask",
"path": "dask/dataframe/tseries/resample.py",
"copies": "1",
"size": "5137",
"license": "bsd-3-clause",
"hash": -421743431968018750,
"line_mean": 30.9068322981,
"line_max": 79,
"alpha_frac": 0.5693984816,
"autogenerated": false,
"ratio": 3.6381019830028327,
"con... |
from __future__ import absolute_import, division, print_function
from django.conf.urls import include, url
from django.contrib import admin
from rest_framework.routers import SimpleRouter
from rest_framework_docs.views import DRFDocsView
from tests import views
accounts_urls = [
url(r'^login/$', views.LoginView.a... | {
"repo_name": "manosim/django-rest-framework-docs",
"path": "tests/urls.py",
"copies": "2",
"size": "1967",
"license": "bsd-2-clause",
"hash": 1385682343277960000,
"line_mean": 44.7441860465,
"line_max": 111,
"alpha_frac": 0.6929334011,
"autogenerated": false,
"ratio": 3.4388111888111887,
"conf... |
from __future__ import absolute_import, division, print_function
from dynd import nd
from glob import glob
from itertools import chain
from datashape import dshape, var
from datashape.predicates import isdimension
from .core import DataDescriptor
from .. import compatibility
from ..utils import get, ndget
__all__ = ... | {
"repo_name": "aterrel/blaze",
"path": "blaze/data/meta.py",
"copies": "2",
"size": "2025",
"license": "bsd-3-clause",
"hash": 3433165095077093400,
"line_mean": 28.347826087,
"line_max": 73,
"alpha_frac": 0.6004938272,
"autogenerated": false,
"ratio": 3.87189292543021,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from dynd import nd
from glob import glob
from itertools import chain
from datashape import dshape, Var
from .core import DataDescriptor
from .. import py2help
__all__ = 'Files',
class Files(DataDescriptor):
immutable = True
deferred = False
... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/data/filesystem.py",
"copies": "1",
"size": "1228",
"license": "bsd-3-clause",
"hash": -4884883343233145000,
"line_mean": 26.9090909091,
"line_max": 73,
"alpha_frac": 0.5716612378,
"autogenerated": false,
"ratio": 4.370106761565836,
"config_test"... |
from __future__ import absolute_import, division, print_function
from dynd import nd
import datashape
from datashape import DataShape, dshape, Record
from datashape.user import validate, issubschema
from numbers import Number
from collections import Iterable
import numpy as np
from ..dispatch import dispatch
__all_... | {
"repo_name": "aterrel/blaze",
"path": "blaze/api/into.py",
"copies": "1",
"size": "2388",
"license": "bsd-3-clause",
"hash": -6126362583294449000,
"line_mean": 22.1844660194,
"line_max": 71,
"alpha_frac": 0.6507537688,
"autogenerated": false,
"ratio": 3.081290322580645,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from dynd import nd
from blaze.compute.core import compute
from blaze.expr import *
from blaze.compute.dynd import *
def eq(a, b):
return nd.as_py(a) == nd.as_py(b)
n = Symbol('n', '3 * 5 * int')
nx = nd.array([[ 1, 2, 3, 4, 5],
... | {
"repo_name": "vitan/blaze",
"path": "blaze/compute/tests/test_dynd_compute.py",
"copies": "1",
"size": "1070",
"license": "bsd-3-clause",
"hash": -606230794249742800,
"line_mean": 25.0975609756,
"line_max": 64,
"alpha_frac": 0.5504672897,
"autogenerated": false,
"ratio": 2.772020725388601,
"co... |
from __future__ import absolute_import, division, print_function
from dynd import nd
from blaze.serve.server import Server
from blaze.data.python import Python
from blaze.serve.index import parse_index, emit_index
from blaze.serve.client import Client
accounts = Python([['Alice', 100], ['Bob', 200]],
... | {
"repo_name": "aterrel/blaze",
"path": "blaze/serve/tests/test_client.py",
"copies": "1",
"size": "1222",
"license": "bsd-3-clause",
"hash": 718005206594917500,
"line_mean": 25.5652173913,
"line_max": 74,
"alpha_frac": 0.6464811784,
"autogenerated": false,
"ratio": 3.2586666666666666,
"config_t... |
from __future__ import absolute_import, division, print_function
from dynd.ndt.type import make_var_dim, make_fixed_dim, make_fixed_dim_kind, type as w_type
__all__ = ['var', 'fixed']
class _Dim(object):
__slots__ = []
def __mul__(self, rhs):
if isinstance(rhs, w_type):
# Apply all the ... | {
"repo_name": "libdynd/dynd-python",
"path": "dynd/ndt/dim_helpers.py",
"copies": "8",
"size": "2558",
"license": "bsd-2-clause",
"hash": -2271444841386698000,
"line_mean": 22.9158878505,
"line_max": 91,
"alpha_frac": 0.5293197811,
"autogenerated": false,
"ratio": 3.5185694635488307,
"config_te... |
from __future__ import absolute_import, division, print_function
from dynd._pydynd import w_type as type, \
make_byteswap, make_fixedbytes, make_convert, \
make_view, \
make_unaligned, make_fixedstring, make_string, \
make_pointer, make_struct, make_cstruct, \
make_strided_dim, ... | {
"repo_name": "aterrel/dynd-python",
"path": "dynd/ndt/__init__.py",
"copies": "1",
"size": "1457",
"license": "bsd-2-clause",
"hash": -6558407968968507000,
"line_mean": 30,
"line_max": 74,
"alpha_frac": 0.693891558,
"autogenerated": false,
"ratio": 3.252232142857143,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
from dynd._pydynd import w_type, \
make_var_dim, make_strided_dim, make_fixed_dim, make_cfixed_dim
__all__ = ['var', 'strided', 'fixed', 'cfixed']
class _Dim(object):
__slots__ = []
def __mul__(self, rhs):
if isinstance(rhs, w... | {
"repo_name": "aterrel/dynd-python",
"path": "dynd/ndt/dim_helpers.py",
"copies": "1",
"size": "4145",
"license": "bsd-2-clause",
"hash": -3439929169362638300,
"line_mean": 23.0988372093,
"line_max": 78,
"alpha_frac": 0.5305186972,
"autogenerated": false,
"ratio": 3.4426910299003324,
"config_te... |
from __future__ import absolute_import, division, print_function
from enum import Enum
class CipherSuites(Enum):
TLS_NULL_WITH_NULL_NULL = 0x0000
TLS_RSA_WITH_NULL_MD5 = 0x0001
TLS_RSA_WITH_NULL_SHA = 0x0002
TLS_RSA_EXPORT_WITH_RC4_40_MD5 = 0x0003
TLS_RSA_WITH_RC4_128_MD5 = 0x0004
TLS_RSA_WIT... | {
"repo_name": "Ayrx/tlsenum",
"path": "tlsenum/mappings.py",
"copies": "1",
"size": "16201",
"license": "mit",
"hash": 5690872095771614000,
"line_mean": 43.2650273224,
"line_max": 64,
"alpha_frac": 0.6931670885,
"autogenerated": false,
"ratio": 2.1541018481584895,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
from enum import Flag, auto
from numbers import Number
import numpy as np
import tensorflow as tf
from tensorflow_probability import distributions as tfd
from odin.bay import distributions as obd
# ====================================================... | {
"repo_name": "imito/odin",
"path": "odin/bay/helpers.py",
"copies": "1",
"size": "3549",
"license": "mit",
"hash": -2688553872197972500,
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"alpha_frac": 0.547632469,
"autogenerated": false,
"ratio": 3.8691384950926935,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division, print_function
from examples.helpers import authenticate
from trakt import Trakt
from trakt.objects import Movie, Show
import logging
import os
logging.basicConfig(level=logging.DEBUG)
if __name__ == '__main__':
# Configure
Trakt.configuration.defaults.clie... | {
"repo_name": "fuzeman/trakt.py",
"path": "examples/collection.py",
"copies": "1",
"size": "2527",
"license": "mit",
"hash": -4542371561525351400,
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"line_max": 70,
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"autogenerated": false,
"ratio": 3.495159059474412,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from examples.helpers import authenticate
from trakt import Trakt
from datetime import datetime
import logging
import os
logging.basicConfig(level=logging.DEBUG)
if __name__ == '__main__':
# Configure
Trakt.configuration.defaults.client(
... | {
"repo_name": "fuzeman/trakt.py",
"path": "examples/history.py",
"copies": "1",
"size": "1667",
"license": "mit",
"hash": 8130554255942685000,
"line_mean": 27.2542372881,
"line_max": 107,
"alpha_frac": 0.5776844631,
"autogenerated": false,
"ratio": 3.451345755693582,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from examples.helpers import authenticate
import logging
import os
if __name__ == '__main__':
logging.basicConfig(level=logging.DEBUG)
from trakt import Trakt
# Configure
Trakt.configuration.defaults.client(
id=os.environ.get... | {
"repo_name": "fuzeman/trakt.py",
"path": "examples/lists.py",
"copies": "1",
"size": "1259",
"license": "mit",
"hash": -7525251905356537000,
"line_mean": 22.7547169811,
"line_max": 64,
"alpha_frac": 0.5361397935,
"autogenerated": false,
"ratio": 3.873846153846154,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
from .expressions import ElemWise, schema_method_list, method_properties
import datashape
from datashape import dshape, isdatelike, isnumeric
from datashape.coretypes import timedelta_
from ..compatibility import basestring
__all__ = ['DateTime', 'Dat... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/expr/datetime.py",
"copies": "3",
"size": "10146",
"license": "bsd-3-clause",
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"line_max": 107,
"alpha_frac": 0.6242854327,
"autogenerated": false,
"ratio": 3.5315001740341105,
"config_tes... |
from __future__ import absolute_import, division, print_function
from .expressions import Expr, ElemWise
from datashape import dshape
import datashape
__all__ = ['DateTime', 'Date', 'date', 'Year', 'year', 'Month', 'month', 'Day',
'day', 'Hour', 'hour', 'Second', 'second', 'Millisecond',
'milli... | {
"repo_name": "LiaoPan/blaze",
"path": "blaze/expr/datetime.py",
"copies": "3",
"size": "5037",
"license": "bsd-3-clause",
"hash": 4041801985907352600,
"line_mean": 20.343220339,
"line_max": 79,
"alpha_frac": 0.5975779234,
"autogenerated": false,
"ratio": 3.5698086463501064,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from .expressions import Expr, ElemWise
from datashape import dshape, Record, DataShape, Unit, Option, date_, datetime_
import datashape
__all__ = ['DateTime', 'Date', 'date', 'Year', 'year', 'Month', 'month', 'Day',
'day', 'Hour', 'hour', 'Seco... | {
"repo_name": "vitan/blaze",
"path": "blaze/expr/datetime.py",
"copies": "1",
"size": "2247",
"license": "bsd-3-clause",
"hash": -1624166945605099000,
"line_mean": 21.0294117647,
"line_max": 79,
"alpha_frac": 0.6444147753,
"autogenerated": false,
"ratio": 3.4045454545454548,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from .expressions import Expr, ndim, symbol
from datashape import DataShape
from collections import Iterable
__all__ = 'Transpose', 'TensorDot', 'dot', 'transpose', 'tensordot'
class Transpose(Expr):
""" Transpose dimensions in an N-Dimensional arr... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/expr/arrays.py",
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"size": "3752",
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"line_max": 79,
"alpha_frac": 0.5386460554,
"autogenerated": false,
"ratio": 3.4327538883806037,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from ..expr import (Expr, Symbol, Field, Arithmetic, Math,
Date, Time, DateTime, Millisecond, Microsecond, broadcast,
sin, cos, Map, UTCFromTimestamp, DateTimeTruncate, symbol,
USub, Not)
from .... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/compute/pyfunc.py",
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"autogenerated": false,
"ratio": 3.2573411639081686,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from ..expr import (Expr, Symbol, Field, Arithmetic, RealMath, Map, Not,
USub, Date, Time, DateTime, Millisecond, Microsecond, broadcast, sin,
cos, isnan, UnaryOp, symbol)
import datetime
from datashape import iscollection
import math
fro... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/compute/numexpr.py",
"copies": "1",
"size": "2321",
"license": "bsd-3-clause",
"hash": 907984567619242100,
"line_mean": 29.9466666667,
"line_max": 77,
"alpha_frac": 0.6182679879,
"autogenerated": false,
"ratio": 3.5928792569659445,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from ..expr import (Expr, Symbol, Field, Arithmetic, RealMath, Not,
USub, Date, Time, DateTime, Millisecond, Microsecond,
broadcast, sin, cos, isnan, UnaryOp, symbol)
from toolz import curry
import itertools
from .... | {
"repo_name": "caseyclements/blaze",
"path": "blaze/compute/numexpr.py",
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"autogenerated": false,
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"config_t... |
from __future__ import absolute_import, division, print_function
from ..expr import (Expr, Symbol, Field, Arithmetic, UnaryMath, Not, USub,
isnan, UnaryOp, BinOp)
from toolz import curry
import itertools
from ..expr.broadcast import broadcast_collect
funcnames = ('func_%d' % i for i in itertools.... | {
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"path": "blaze/compute/numexpr.py",
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"autogenerated": false,
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"config_test"... |
from __future__ import absolute_import, division, print_function
from ...external.qt import QtGui
from ...external.qt.QtCore import Qt
from ... import core
from ...clients.scatter_client import ScatterClient
from ..glue_toolbar import GlueToolbar
from ..mouse_mode import (RectangleMode, CircleMode,
... | {
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"path": "glue/qt/widgets/scatter_widget.py",
"copies": "1",
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"hash": 7163589458533899000,
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"line_max": 80,
"alpha_frac": 0.6091117536,
"autogenerated": false,
"ratio": 3.8849728892331528,
"config... |
from __future__ import absolute_import, division, print_function
from ...external.qt import QtGui
from ...external.qt.QtCore import Qt, Signal
from ... import core
from ..mime import LAYER_MIME_TYPE, LAYERS_MIME_TYPE
class GlueMdiArea(QtGui.QMdiArea):
"""Glue's MdiArea implementation.
Drop events with :cl... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/widgets/glue_mdi_area.py",
"copies": "1",
"size": "3117",
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"hash": -4857368453920461000,
"line_mean": 31.8105263158,
"line_max": 77,
"alpha_frac": 0.6326596086,
"autogenerated": false,
"ratio": 3.801219512195122,
"config_... |
from __future__ import absolute_import, division, print_function
from ...external.qt import QtGui
from ...core.edit_subset_mode import (EditSubsetMode, OrMode, AndNotMode,
AndMode, XorMode, ReplaceMode)
from ..actions import act
from ..qtutil import nonpartial
def set_mode(mode... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/widgets/edit_subset_mode_toolbar.py",
"copies": "1",
"size": "2391",
"license": "bsd-3-clause",
"hash": -2621465117561346000,
"line_mean": 35.2272727273,
"line_max": 79,
"alpha_frac": 0.5788373066,
"autogenerated": false,
"ratio": 3.9261083743842367... |
from __future__ import absolute_import, division, print_function
from ..external.qt.QtCore import QMimeData, QByteArray
class PyMimeData(QMimeData):
"""
A custom MimeData object that stores live python objects
Associate specific objects with a mime type by passing
mime type / object kev/value pairs ... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/mime.py",
"copies": "1",
"size": "1799",
"license": "bsd-3-clause",
"hash": -1622374647008352000,
"line_mean": 30.5614035088,
"line_max": 79,
"alpha_frac": 0.6498054475,
"autogenerated": false,
"ratio": 3.8605150214592276,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from ..external.qt.QtGui import QAction
from .qtutil import get_icon
def act(name, parent, tip='', icon=None, shortcut=None):
""" Factory for making a new action """
a = QAction(name, parent)
a.setToolTip(tip)
if icon:
a.setIcon... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/actions.py",
"copies": "1",
"size": "2189",
"license": "bsd-3-clause",
"hash": 307613344573699140,
"line_mean": 29.8309859155,
"line_max": 77,
"alpha_frac": 0.5710370032,
"autogenerated": false,
"ratio": 4.217726396917149,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from ...external.qt.QtGui import (QAction, QLabel, QCursor, QMainWindow,
QToolButton, QIcon, QMessageBox
)
from ...external.qt.QtCore import Qt, QRect, Signal
from .data_viewer import ... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/widgets/image_widget.py",
"copies": "1",
"size": "19700",
"license": "bsd-3-clause",
"hash": 4673547099472136000,
"line_mean": 32.7328767123,
"line_max": 103,
"alpha_frac": 0.5879695431,
"autogenerated": false,
"ratio": 3.965378421900161,
"config_... |
from __future__ import absolute_import, division, print_function
from ...external.qt.QtGui import (QDialog, QDoubleValidator, QIcon)
import numpy as np
from matplotlib import cm
from ..qtutil import pretty_number, cmap2pixmap, load_ui
from ...core.util import colorize_subsets, facet_subsets, Pointer
from ..widget_pr... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/widgets/subset_facet.py",
"copies": "1",
"size": "2833",
"license": "bsd-3-clause",
"hash": -2600776059852832300,
"line_mean": 32.3294117647,
"line_max": 85,
"alpha_frac": 0.626897282,
"autogenerated": false,
"ratio": 3.8335588633288227,
"config_t... |
from __future__ import absolute_import, division, print_function
from ..external.qt.QtGui import QDialog, QListWidgetItem, QWidget
from .. import core
from .qtutil import load_ui
class LinkEditor(object):
def __init__(self, collection, functions=None, parent=None):
self._collection = collection
... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/link_editor.py",
"copies": "1",
"size": "3870",
"license": "bsd-3-clause",
"hash": 5575908791014250000,
"line_mean": 29.234375,
"line_max": 72,
"alpha_frac": 0.603875969,
"autogenerated": false,
"ratio": 3.917004048582996,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from ...external.qt.QtGui import QWidget, QDrag
from ...external.qt.QtCore import QMimeData, Qt
from ...external.qt.QtTest import QTest
from .. import mime
import pytest
class TestWidget(QWidget):
def __init__(self, out_mime, parent=None):
... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/tests/test_mime.py",
"copies": "1",
"size": "3203",
"license": "bsd-3-clause",
"hash": 1388360724479105500,
"line_mean": 29.5047619048,
"line_max": 79,
"alpha_frac": 0.6250390259,
"autogenerated": false,
"ratio": 3.251776649746193,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from ..external.qt.QtGui import QWidget, QListWidgetItem
from ..external.qt.QtCore import Signal
from .qtutil import load_ui
class ComponentSelector(QWidget):
""" An interface to view the components and data of a DataCollection
Components can... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/component_selector.py",
"copies": "1",
"size": "4354",
"license": "bsd-3-clause",
"hash": -965535995508611200,
"line_mean": 27.6447368421,
"line_max": 72,
"alpha_frac": 0.5962333486,
"autogenerated": false,
"ratio": 3.8840321141837646,
"config_tes... |
from __future__ import absolute_import, division, print_function
from ..extern.vispy import scene
from ..extern.vispy.geometry import create_cube
from ..extern.vispy.visuals.transforms import STTransform, ChainTransform
class AxesVisual3D(object):
def __init__(self, view=None, transform=None, **kwargs):
... | {
"repo_name": "astrofrog/glue-vispy-viewers",
"path": "glue_vispy_viewers/common/axes.py",
"copies": "3",
"size": "4760",
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"line_mean": 28.0243902439,
"line_max": 80,
"alpha_frac": 0.556092437,
"autogenerated": false,
"ratio": 3.600605143721... |
from __future__ import absolute_import, division, print_function
from flask import Blueprint, current_app, jsonify, request, url_for
import appr
info_app = Blueprint(
'info',
__name__, )
@info_app.before_request
def pre_request_logging():
jsonbody = request.get_json(force=True, silent=True)
values ... | {
"repo_name": "app-registry/appr",
"path": "appr/api/info.py",
"copies": "2",
"size": "1751",
"license": "apache-2.0",
"hash": -4554707177456860700,
"line_mean": 26.7936507937,
"line_max": 100,
"alpha_frac": 0.610508281,
"autogenerated": false,
"ratio": 3.4400785854616895,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
from functools import wraps
from glob import glob
from math import ceil
from operator import getitem
import os
from threading import Lock
import uuid
from warnings import warn
import pandas as pd
import numpy as np
from toolz... | {
"repo_name": "mikegraham/dask",
"path": "dask/dataframe/io.py",
"copies": "1",
"size": "24678",
"license": "bsd-3-clause",
"hash": 5854856073040914000,
"line_mean": 32.0361445783,
"line_max": 98,
"alpha_frac": 0.5757354729,
"autogenerated": false,
"ratio": 3.681085918854415,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
from functools import wraps
from glob import glob
import io
from math import ceil
from operator import getitem
import os
from threading import Lock
import multiprocessing
import uuid
from warnings import warn
import sys
impor... | {
"repo_name": "cowlicks/dask",
"path": "dask/dataframe/io.py",
"copies": "1",
"size": "29652",
"license": "bsd-3-clause",
"hash": 7687687358721241000,
"line_mean": 32.5809739524,
"line_max": 106,
"alpha_frac": 0.5806353703,
"autogenerated": false,
"ratio": 3.7420494699646643,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
from functools import wraps
from glob import glob
import os
from threading import Lock
import multiprocessing
import uuid
from warnings import warn
import pandas as pd
import dask
from toolz import merge
from ...async import... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/dataframe/io/hdf.py",
"copies": "1",
"size": "11095",
"license": "mit",
"hash": -608692107418220800,
"line_mean": 33.8899371069,
"line_max": 98,
"alpha_frac": 0.580261379,
"autogenerated": false,
"ratio": 3.9695... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
from functools import wraps, partial
from glob import glob
from math import ceil
from operator import getitem
import os
import re
from threading import Lock
import uuid
import pandas as pd
import numpy as np
from toolz import... | {
"repo_name": "pombredanne/dask",
"path": "dask/dataframe/io.py",
"copies": "1",
"size": "27492",
"license": "bsd-3-clause",
"hash": 7474663693914020000,
"line_mean": 32.9826946848,
"line_max": 168,
"alpha_frac": 0.5793321694,
"autogenerated": false,
"ratio": 3.7246985503319334,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
from glob import glob
import os
import uuid
from warnings import warn
import pandas as pd
from toolz import merge
from ...async import get_sync
from ...base import tokenize
from ...compatibility import PY3
from ...context im... | {
"repo_name": "gameduell/dask",
"path": "dask/dataframe/io/hdf.py",
"copies": "2",
"size": "13946",
"license": "bsd-3-clause",
"hash": 7106480953043793000,
"line_mean": 34.3959390863,
"line_max": 89,
"alpha_frac": 0.5890577943,
"autogenerated": false,
"ratio": 4.05406976744186,
"config_test": t... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
def filenames(hdfs, path):
"""
Filenames in Hadoop File System under specific path
Parameters
----------
hdfs: pywebhdfs.webhdfs.PyWebHdfsClient instance
path: string
Directory on HDFS
... | {
"repo_name": "vikhyat/dask",
"path": "dask/hdfs_utils.py",
"copies": "2",
"size": "1079",
"license": "bsd-3-clause",
"hash": 3005724060357743600,
"line_mean": 28.9722222222,
"line_max": 70,
"alpha_frac": 0.594068582,
"autogenerated": false,
"ratio": 3.9094202898550723,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from fractions import Fraction
import sys
import subprocess
sys.path.insert(0, '../')
from compiler import *
from constructs import *
def test_tree_graph():
R = Parameter(Int, "R")
C = Parameter(Int, "C")
x = Variable(Int, "x")
y = Va... | {
"repo_name": "bollu/polymage",
"path": "sandbox/tests/test_grouping.py",
"copies": "1",
"size": "1428",
"license": "apache-2.0",
"hash": -8775009632833237000,
"line_mean": 24.0526315789,
"line_max": 77,
"alpha_frac": 0.5196078431,
"autogenerated": false,
"ratio": 2.9812108559498958,
"config_te... |
from __future__ import absolute_import, division, print_function
from fractions import Fraction
import sys
import subprocess
sys.path.insert(0, '../')
from compiler import *
from constructs import *
def test_blur():
R = Parameter(Int, "R")
C = Parameter(Int, "C")
x = Variable(Int, "x")
y = Variable(... | {
"repo_name": "bollu/polymage",
"path": "sandbox/tests/test_blur.py",
"copies": "1",
"size": "1954",
"license": "apache-2.0",
"hash": 7811141571456449000,
"line_mean": 27.7352941176,
"line_max": 67,
"alpha_frac": 0.4892528147,
"autogenerated": false,
"ratio": 3.043613707165109,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from fractions import Fraction
import sys
sys.path.insert(0, '../')
from compiler import *
from constructs import *
from expression import *
R = Parameter(Int, "R")
C = Parameter(Int, "C")
P = Parameter(Int, "P")
B = Parameter(Int, "B")
x = Variable(I... | {
"repo_name": "bollu/polymage",
"path": "sandbox/tests/test_alignment.py",
"copies": "1",
"size": "4404",
"license": "apache-2.0",
"hash": 1805524718191090400,
"line_mean": 32.1127819549,
"line_max": 69,
"alpha_frac": 0.4943233424,
"autogenerated": false,
"ratio": 2.8541801685029164,
"config_te... |
from __future__ import absolute_import, division, print_function
from fractions import Fraction
import sys
sys.path.insert(0, '../')
from compiler import *
from constructs import *
def test_histogram():
R = Parameter(Int, "R")
C = Parameter(Int, "C")
x = Variable(Int, "x")
y = Variable(Int, "y")
... | {
"repo_name": "bollu/polymage",
"path": "sandbox/tests/test_hist.py",
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"size": "1912",
"license": "apache-2.0",
"hash": -4185547047279912000,
"line_mean": 28.4153846154,
"line_max": 75,
"alpha_frac": 0.4665271967,
"autogenerated": false,
"ratio": 3.408199643493761,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from fractions import Fraction
import sys
sys.path.insert(0, '../')
from constructs import *
from expression import *
def test_affine():
N = Parameter(UInt, "N")
x = Variable(UInt, "x")
y = Variable(UInt, "y")
assert(isAffine(x + y) == ... | {
"repo_name": "bollu/polymage",
"path": "sandbox/tests/test_expression.py",
"copies": "1",
"size": "1502",
"license": "apache-2.0",
"hash": 7544326229378586000,
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"line_max": 66,
"alpha_frac": 0.5579227696,
"autogenerated": false,
"ratio": 2.7014388489208634,
"config_t... |
from __future__ import absolute_import, division, print_function
from ._funcs import (
asdict,
assoc,
astuple,
evolve,
has,
)
from ._make import (
Attribute,
Factory,
NOTHING,
attr,
attributes,
fields,
make_class,
validate,
)
from ._config import (
get_run_valida... | {
"repo_name": "Alecto3-D/testable-greeter",
"path": "bb-master/sandbox/lib/python3.5/site-packages/attr/__init__.py",
"copies": "2",
"size": "1173",
"license": "mit",
"hash": 4878455908172199000,
"line_mean": 15.5211267606,
"line_max": 64,
"alpha_frac": 0.5652173913,
"autogenerated": false,
"rati... |
from __future__ import absolute_import, division, print_function
from functools import partial
from .csv import *
from .json import *
from .hdf5 import *
from .filesystem import *
from .sql import *
from glob import glob
import gzip
from ..compatibility import urlopen
from ..py2help import _strtypes
__all__ = ['resou... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/data/usability.py",
"copies": "1",
"size": "2752",
"license": "bsd-3-clause",
"hash": 5925662245249328000,
"line_mean": 30.2727272727,
"line_max": 80,
"alpha_frac": 0.5904796512,
"autogenerated": false,
"ratio": 3.8870056497175143,
"config_test":... |
from __future__ import absolute_import, division, print_function
from functools import partial
from hashlib import md5
from operator import attrgetter
import os
import sys
import uuid
import warnings
from toolz import merge, groupby, curry, identity
from toolz.functoolz import Compose
from .compatibility import bind... | {
"repo_name": "vikhyat/dask",
"path": "dask/base.py",
"copies": "1",
"size": "7836",
"license": "bsd-3-clause",
"hash": 5843821734337380000,
"line_mean": 31.65,
"line_max": 90,
"alpha_frac": 0.6010719755,
"autogenerated": false,
"ratio": 3.8506142506142504,
"config_test": false,
"has_no_keywo... |
from __future__ import absolute_import, division, print_function
from functools import partial
from hashlib import md5
from operator import attrgetter
import pickle
import os
import uuid
import warnings
from toolz import merge, groupby, curry, identity
from toolz.functoolz import Compose
from .compatibility import b... | {
"repo_name": "mikegraham/dask",
"path": "dask/base.py",
"copies": "2",
"size": "11960",
"license": "bsd-3-clause",
"hash": -5314435182935780000,
"line_mean": 32.7853107345,
"line_max": 90,
"alpha_frac": 0.6008361204,
"autogenerated": false,
"ratio": 4.1015089163237315,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from functools import partial
from hashlib import md5
from operator import attrgetter
import pickle
import os
import uuid
from toolz import merge, groupby, curry, identity
from toolz.functoolz import Compose
from .compatibility import bind_method, unic... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/base.py",
"copies": "1",
"size": "12334",
"license": "mit",
"hash": -2786354958232452000,
"line_mean": 32.5163043478,
"line_max": 90,
"alpha_frac": 0.5946165072,
"autogenerated": false,
"ratio": 4.08681245858184... |
from __future__ import absolute_import, division, print_function
from functools import partial
from itertools import chain
import datashape
from datashape import (
DataShape, Option, Record, Unit, dshape, var, Fixed, Var, promote, object_,
)
from datashape.predicates import isscalar, iscollection, isrecord
from t... | {
"repo_name": "alexmojaki/blaze",
"path": "blaze/expr/collections.py",
"copies": "1",
"size": "20040",
"license": "bsd-3-clause",
"hash": 9182114499936217000,
"line_mean": 26.8720445063,
"line_max": 79,
"alpha_frac": 0.5426147705,
"autogenerated": false,
"ratio": 3.7193763919821827,
"config_tes... |
from __future__ import absolute_import, division, print_function
from functools import partial
from itertools import product
import numpy as np
from toolz import curry
from ..base import tokenize
from .core import Array, normalize_chunks
from .numpy_compat import full
def dims_from_size(size, blocksize):
"""
... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/array/wrap.py",
"copies": "3",
"size": "2043",
"license": "mit",
"hash": -478737828738086340,
"line_mean": 24.8607594937,
"line_max": 82,
"alpha_frac": 0.6172295644,
"autogenerated": false,
"ratio": 3.4804088586... |
from __future__ import absolute_import, division, print_function
from functools import partial
from itertools import product
import numpy as np
try:
from cytoolz import curry
except ImportError:
from toolz import curry
from ..base import tokenize
from .core import Array, normalize_chunks
from .numpy_compat ... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/wrap.py",
"copies": "1",
"size": "2103",
"license": "bsd-3-clause",
"hash": 4928302954157824000,
"line_mean": 24.3373493976,
"line_max": 82,
"alpha_frac": 0.6195910604,
"autogenerated": false,
"ratio": 3.487562189054726,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from functools import partial
from multipledispatch import Dispatcher
__all__ = 'select_functions',
def match(condition, data):
""" Does the condition match the data
>>> match(1, 1)
True
>>> match(int, 1)
True
>>> match(lambda ... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/expr/method_dispatch.py",
"copies": "18",
"size": "1334",
"license": "bsd-3-clause",
"hash": -164464064857052640,
"line_mean": 24.1698113208,
"line_max": 64,
"alpha_frac": 0.5869565217,
"autogenerated": false,
"ratio": 4.19496855345912,
"config_... |
from __future__ import absolute_import, division, print_function
from functools import partial
import itertools
import numpy as np
from .core import Array, normalize_chunks, stack
from .wrap import empty
from . import chunk
from ..base import tokenize
def linspace(start, stop, num=50, chunks=None, dtype=None):
... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/creation.py",
"copies": "1",
"size": "5528",
"license": "bsd-3-clause",
"hash": -4266472822170771000,
"line_mean": 26.9191919192,
"line_max": 79,
"alpha_frac": 0.5982272069,
"autogenerated": false,
"ratio": 4.052785923753666,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from functools import partial
import json
import math
import os
import traceback
import PySide2
from pymel.core import Callback, colorEditor, colorIndex, columnLayout, objectType, NurbsCurveCV
from pymel.core import palettePort, PyNode, rotate, select,... | {
"repo_name": "patcorwin/fossil",
"path": "pdil/tool/fossil/ui/controllerEdit.py",
"copies": "1",
"size": "16489",
"license": "bsd-3-clause",
"hash": -2290697681728292900,
"line_mean": 32.6530612245,
"line_max": 134,
"alpha_frac": 0.537995027,
"autogenerated": false,
"ratio": 4.077398615232443,
... |
from __future__ import absolute_import, division, print_function
from functools import partial
import json
import os
import re
import time
import datetime
import jinja2
from .conda_interface import PY3
from .environ import get_dict as get_environ
from .utils import (get_installed_packages, apply_pin_expressions, get... | {
"repo_name": "pelson/conda-build",
"path": "conda_build/jinja_context.py",
"copies": "2",
"size": "24722",
"license": "bsd-3-clause",
"hash": -8923736294765678,
"line_mean": 45.382739212,
"line_max": 167,
"alpha_frac": 0.5962300785,
"autogenerated": false,
"ratio": 3.9733204757312763,
"config_... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
import tables as tb
from datashape import Record, from_numpy, datetime_, date_
from blaze.expr import (Selection, Head, Field, Broadcast, Projection, Symbol,
Sort, Reduction, count... | {
"repo_name": "xlhtc007/blaze",
"path": "blaze/compute/pytables.py",
"copies": "10",
"size": "4785",
"license": "bsd-3-clause",
"hash": 708549473064104800,
"line_mean": 27.8253012048,
"line_max": 80,
"alpha_frac": 0.6570532915,
"autogenerated": false,
"ratio": 3.297725706409373,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
import tables as tb
import datashape as ds
from blaze.expr import (Selection, Head, Field, Broadcast, Projection,
Symbol, Sort, Reduction, count, Symbol, Slice)
from blaze.expr imp... | {
"repo_name": "vitan/blaze",
"path": "blaze/compute/pytables.py",
"copies": "1",
"size": "3582",
"license": "bsd-3-clause",
"hash": -4663923710757874000,
"line_mean": 26.984375,
"line_max": 80,
"alpha_frac": 0.644332775,
"autogenerated": false,
"ratio": 3.262295081967213,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from functools import partial
from ...external.qt import QtGui
from ...external.qt.QtCore import Qt
from ...core import message as msg
from ...clients.histogram_client import HistogramClient
from ..widget_properties import (connect_int_spin, ButtonProp... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/widgets/histogram_widget.py",
"copies": "1",
"size": "8704",
"license": "bsd-3-clause",
"hash": -879310024402242700,
"line_mean": 32.0950570342,
"line_max": 80,
"alpha_frac": 0.5960477941,
"autogenerated": false,
"ratio": 4.048372093023255,
"confi... |
from __future__ import absolute_import, division, print_function
from functools import partial
from . import converters, exceptions, filters, validators
from ._config import get_run_validators, set_run_validators
from ._funcs import asdict, assoc, astuple, evolve, has
from ._make import (
NOTHING, Attribute, Fact... | {
"repo_name": "cbrewster/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/attrs/src/attr/__init__.py",
"copies": "41",
"size": "1196",
"license": "mpl-2.0",
"hash": -7945556152844370000,
"line_mean": 19.9824561404,
"line_max": 68,
"alpha_frac": 0.6045150502,
"autogenerated": false,
... |
from __future__ import absolute_import, division, print_function
from functools import partial
import cloudpickle
from dask.callbacks import Callback
from kazoo.client import NoNodeError
from kazoo.recipe.lock import Lock as ZkLock
class ZookeeperBase(Callback):
def __init__(self, zk, name, ns='/epos', ephemer... | {
"repo_name": "lensacom/dask.mesos",
"path": "daskos/context.py",
"copies": "1",
"size": "2267",
"license": "apache-2.0",
"hash": 2089901027017111800,
"line_mean": 28.4415584416,
"line_max": 77,
"alpha_frac": 0.5765328628,
"autogenerated": false,
"ratio": 3.644694533762058,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from matplotlib.ticker import AutoLocator, MaxNLocator, LogLocator
from matplotlib.ticker import (LogFormatterMathtext, ScalarFormatter,
FuncFormatter)
from ..core.data impo... | {
"repo_name": "JudoWill/glue",
"path": "glue/clients/util.py",
"copies": "1",
"size": "3412",
"license": "bsd-3-clause",
"hash": -1243107895231004400,
"line_mean": 28.6695652174,
"line_max": 79,
"alpha_frac": 0.6377491208,
"autogenerated": false,
"ratio": 3.8423423423423424,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from scipy.spatial import KDTree
from scipy.special import psi
from joblib import Parallel, delayed
def estimate(X, Y, k=None, n_jobs=1):
""" Estimate univesal k-NN divergence.
Parameters
-... | {
"repo_name": "slaypni/universal-divergence",
"path": "src/estimator.py",
"copies": "1",
"size": "3010",
"license": "mit",
"hash": 7462912781235174000,
"line_mean": 31.7173913043,
"line_max": 75,
"alpha_frac": 0.5641196013,
"autogenerated": false,
"ratio": 2.810457516339869,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
import numpy.fft as npfft
from .core import map_blocks
chunk_error = ("Dask array only supports taking an FFT along an axis that \n"
"has a single chunk. An FFT operation was tried on ax... | {
"repo_name": "pombredanne/dask",
"path": "dask/array/fft.py",
"copies": "3",
"size": "2467",
"license": "bsd-3-clause",
"hash": 1902008013467571000,
"line_mean": 22.9514563107,
"line_max": 77,
"alpha_frac": 0.5905958654,
"autogenerated": false,
"ratio": 2.9975698663426487,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from ..core.client import Client
from ..core.data import Data, IncompatibleAttribute, ComponentID, CategoricalComponent
from ..core.subset import RoiSubsetState, RangeSubsetState, CategoricalRoiSubsetSta... | {
"repo_name": "JudoWill/glue",
"path": "glue/clients/scatter_client.py",
"copies": "1",
"size": "16522",
"license": "bsd-3-clause",
"hash": 7072736969692220000,
"line_mean": 31.8469184891,
"line_max": 97,
"alpha_frac": 0.5601016826,
"autogenerated": false,
"ratio": 3.999515855725006,
"config_te... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from .core import Array, normalize_chunks
from ..base import tokenize
def linspace(start, stop, num=50, chunks=None, dtype=None):
"""
Return `num` evenly spaced values over the closed interval ... | {
"repo_name": "vikhyat/dask",
"path": "dask/array/creation.py",
"copies": "2",
"size": "4936",
"license": "bsd-3-clause",
"hash": 6356779549676619000,
"line_mean": 26.8870056497,
"line_max": 79,
"alpha_frac": 0.5836709887,
"autogenerated": false,
"ratio": 3.9236883942766294,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from .core import Array, normalize_chunks
from . import chunk
from ..base import tokenize
def linspace(start, stop, num=50, chunks=None, dtype=None):
"""
Return `num` evenly spaced values over ... | {
"repo_name": "gameduell/dask",
"path": "dask/array/creation.py",
"copies": "3",
"size": "3795",
"license": "bsd-3-clause",
"hash": 763515359029443300,
"line_mean": 26.700729927,
"line_max": 79,
"alpha_frac": 0.6018445323,
"autogenerated": false,
"ratio": 3.982161594963274,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from functools import partial
import numpy as np
from glue.core.callback_property import (CallbackProperty, add_callback,
delay_callback)
from glue.core.message import ComponentReplacedMessage, SettingsChangeMes... | {
"repo_name": "saimn/glue",
"path": "glue/viewers/scatter/client.py",
"copies": "2",
"size": "15861",
"license": "bsd-3-clause",
"hash": 8732573729360618000,
"line_mean": 31.568788501,
"line_max": 87,
"alpha_frac": 0.5652228737,
"autogenerated": false,
"ratio": 3.985175879396985,
"config_test":... |
from __future__ import absolute_import, division, print_function
from functools import partial, wraps
from itertools import product
from math import factorial, log, ceil
import numpy as np
from toolz import compose, partition_all, merge, get
from . import chunk
from .core import _concatenate2, Array, atop, sqrt, lol... | {
"repo_name": "vikhyat/dask",
"path": "dask/array/reductions.py",
"copies": "1",
"size": "17067",
"license": "bsd-3-clause",
"hash": -6765742454215944000,
"line_mean": 35.3901918977,
"line_max": 85,
"alpha_frac": 0.6002226519,
"autogenerated": false,
"ratio": 3.3869815439571345,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from functools import partial, wraps
from itertools import product, repeat
from math import factorial, log, ceil
import operator
import numpy as np
from toolz import compose, partition_all, get, accumulate, pluck
from . import chunk
from .core import _... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/reductions.py",
"copies": "1",
"size": "23040",
"license": "bsd-3-clause",
"hash": 2528149604603851000,
"line_mean": 34.5555555556,
"line_max": 86,
"alpha_frac": 0.5967013889,
"autogenerated": false,
"ratio": 3.4183976261127595,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from functools import partial, wraps
from math import factorial
import numpy as np
from toolz import compose
from . import chunk
from .core import _concatenate2, Array, atop, sqrt, elemwise
from .numpy_compat import divide
from .slicing import insert_m... | {
"repo_name": "pombredanne/dask",
"path": "dask/array/reductions.py",
"copies": "1",
"size": "11793",
"license": "bsd-3-clause",
"hash": -7251283381934206000,
"line_mean": 30.5320855615,
"line_max": 85,
"alpha_frac": 0.6006953277,
"autogenerated": false,
"ratio": 3.3210363277949875,
"config_tes... |
from __future__ import absolute_import, division, print_function
from functools import partial, wraps
from toolz import merge
import pandas as pd
from ..base import tokenize
from ..utils import M
def rolling_chunk(func, part1, part2, window, *args):
if part1.shape[0] < window - 1:
raise NotImplementedE... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/dataframe/rolling.py",
"copies": "1",
"size": "9313",
"license": "mit",
"hash": 3721957123295669000,
"line_mean": 38.4618644068,
"line_max": 100,
"alpha_frac": 0.5590035434,
"autogenerated": false,
"ratio": 3.97... |
from __future__ import absolute_import, division, print_function
from functools import partial, wraps
from toolz import merge
import pandas as pd
from ..base import tokenize
def rolling_chunk(func, part1, part2, window, *args):
if part1.shape[0] < window-1:
raise NotImplementedError("Window larger than... | {
"repo_name": "mikegraham/dask",
"path": "dask/dataframe/rolling.py",
"copies": "1",
"size": "6779",
"license": "bsd-3-clause",
"hash": 8245465353481434000,
"line_mean": 37.2994350282,
"line_max": 79,
"alpha_frac": 0.6114471161,
"autogenerated": false,
"ratio": 3.737045203969129,
"config_test":... |
from __future__ import absolute_import, division, print_function
from functools import reduce
import operator
import warnings
import datashape
from datashape import var, Map
from datashape.predicates import (
isscalar,
iscollection,
isrecord,
istabular,
)
from odo import odo
from pandas import DataFra... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/interactive.py",
"copies": "3",
"size": "4644",
"license": "bsd-3-clause",
"hash": -1531395286350966800,
"line_mean": 23.4421052632,
"line_max": 77,
"alpha_frac": 0.6106804479,
"autogenerated": false,
"ratio": 3.3897810218978104,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from functools import wraps
from collections import defaultdict
from glue.core.util import disambiguate
from glue.core.decorators import singleton
@singleton
class Registry(object):
""" Stores labels for classes of objects. Ensures uniqueness
... | {
"repo_name": "saimn/glue",
"path": "glue/core/registry.py",
"copies": "5",
"size": "2605",
"license": "bsd-3-clause",
"hash": 7838172009700650000,
"line_mean": 26.4210526316,
"line_max": 79,
"alpha_frac": 0.5888675624,
"autogenerated": false,
"ratio": 4.181380417335474,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from functools import wraps
from collections import Iterator
import numpy as np
from toolz import merge, merge_sorted
from .core import Array
from ..base import tokenize
from .. import sharedict
@wraps(np.percentile)
def _percentile(a, q, interpolati... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/percentile.py",
"copies": "2",
"size": "6272",
"license": "bsd-3-clause",
"hash": -6131227793143068000,
"line_mean": 36.3333333333,
"line_max": 90,
"alpha_frac": 0.620057398,
"autogenerated": false,
"ratio": 3.678592375366569,
"config_test": fa... |
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