text stringlengths 0 1.05M | meta dict |
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from __future__ import absolute_import, division, print_function
import bisect
from collections import Iterable, Iterator
from datetime import datetime
from distutils.version import LooseVersion
import operator
from operator import getitem, setitem
from pprint import pformat
import uuid
from toolz import merge, parti... | {
"repo_name": "pombredanne/dask",
"path": "dask/dataframe/core.py",
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"size": "86516",
"license": "bsd-3-clause",
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from __future__ import absolute_import, division, print_function
import bisect
from collections import Iterator
from datetime import datetime
from distutils.version import LooseVersion
import math
import operator
from operator import getitem, setitem
from pprint import pformat
import uuid
import warnings
from toolz i... | {
"repo_name": "mikegraham/dask",
"path": "dask/dataframe/core.py",
"copies": "1",
"size": "96459",
"license": "bsd-3-clause",
"hash": -1757877171288609500,
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"autogenerated": false,
"ratio": 3.8807129063405212,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import bitarray
import numpy as np
from .hashfunctions import generate_hashfunctions
class BloomFilter(object):
"""Basic Bloom Filter."""
def __init__(self, capacity, error_rate):
self.error_rate = error_rate
self.capacity = ca... | {
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"path": "probably/bloomfilter.py",
"copies": "1",
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... |
from __future__ import absolute_import, division, print_function
import blaze
from blaze.datadescriptor import dd_as_py
import numpy as np
import unittest
from blaze.py2help import skip
from blaze.tests.common import MayBeUriTest
class getitem(unittest.TestCase):
caps={'compress': False} # the default is non-co... | {
"repo_name": "zzmjohn/blaze",
"path": "blaze/tests/test_get_set.py",
"copies": "7",
"size": "1665",
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"alpha_frac": 0.6252252252,
"autogenerated": false,
"ratio": 2.9261862917398944,
"config_test... |
from __future__ import absolute_import, division, print_function
import bz2
import gzip
import os
import os.path
import pickle
import posixpath
import sys
import tempfile
from contextlib import contextmanager
from distutils.version import LooseVersion
from pathlib import Path
from unittest.mock import patch
import py... | {
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"path": "fsspec/implementations/tests/test_local.py",
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from __future__ import absolute_import, division, print_function
import calendar
import datetime
import json
import platform
import time
import uuid
import warnings
from collections import OrderedDict
import stripe
from stripe import error, oauth_error, http_client, version, util, six
from stripe.multipart_data_gener... | {
"repo_name": "stripe/stripe-python",
"path": "stripe/api_requestor.py",
"copies": "1",
"size": "14921",
"license": "mit",
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"line_max": 80,
"alpha_frac": 0.5456068628,
"autogenerated": false,
"ratio": 4.185413744740533,
"config_test": fal... |
from __future__ import (absolute_import, division, print_function)
import cgi
from owslib.etree import etree
from datetime import datetime
try: # Python 3
from urllib.parse import urlencode
except ImportError: # Python 2
from urllib import urlencode
from owslib import ows
from owslib.crs... | {
"repo_name": "b-cube/OWSLib",
"path": "owslib/swe/observation/sos100.py",
"copies": "18",
"size": "12996",
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"line_max": 145,
"alpha_frac": 0.6094952293,
"autogenerated": false,
"ratio": 4.241514360313316,
"conf... |
from __future__ import absolute_import, division, print_function
import cgi
import json
from twisted.internet.defer import Deferred, succeed
from twisted.internet.protocol import Protocol
from twisted.web.client import ResponseDone
from twisted.web.http import PotentialDataLoss
def _encoding_from_headers(headers):... | {
"repo_name": "pexip/os-python-treq",
"path": "src/treq/content.py",
"copies": "2",
"size": "3734",
"license": "mit",
"hash": 2018549367453233700,
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"line_max": 77,
"alpha_frac": 0.678361007,
"autogenerated": false,
"ratio": 4.186098654708521,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import cgi
import json
from twisted.python.compat import _PY3
from twisted.internet.defer import Deferred, succeed
from twisted.internet.protocol import Protocol
from twisted.web.client import ResponseDone
from twisted.web.http import PotentialDataLoss... | {
"repo_name": "mithrandi/treq",
"path": "src/treq/content.py",
"copies": "1",
"size": "3871",
"license": "mit",
"hash": 1902973390431397000,
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"line_max": 79,
"alpha_frac": 0.6667527771,
"autogenerated": false,
"ratio": 4.207608695652174,
"config_test": false,
"has_n... |
from __future__ import (absolute_import, division, print_function)
import cgi
try: # Python 3
from urllib.parse import urlencode
except ImportError: # Python 2
from urllib import urlencode
from owslib.etree import etree
from owslib.util import openURL, strip_bom
class WMSCapabilitiesR... | {
"repo_name": "geographika/OWSLib",
"path": "owslib/map/common.py",
"copies": "5",
"size": "2971",
"license": "bsd-3-clause",
"hash": -3685629638672800000,
"line_mean": 34.369047619,
"line_max": 89,
"alpha_frac": 0.5950858297,
"autogenerated": false,
"ratio": 4.244285714285715,
"config_test": f... |
from __future__ import absolute_import, division, print_function
import click
from future import standard_library
import cleanthermostat as ct
from caar.configparser_read import THERMOSTATS_FILE, POSTAL_FILE
standard_library.install_aliases()
"""This script file creates a Python pickle file from a raw data file th... | {
"repo_name": "nickpowersys/CaaR",
"path": "caar/picklert.py",
"copies": "1",
"size": "3677",
"license": "bsd-3-clause",
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"autogenerated": false,
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"config_test": false,... |
from __future__ import absolute_import, division, print_function
import click
import os
import yaml
from bag8.exceptions import NoProjectYaml
from bag8.utils import simple_name
CURR_DIR = os.path.realpath('.')
class Yaml(object):
def __init__(self, project):
self.project = project
self._data ... | {
"repo_name": "novafloss/bag8",
"path": "bag8/yaml.py",
"copies": "1",
"size": "4983",
"license": "mit",
"hash": 1986384885231814700,
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"line_max": 79,
"alpha_frac": 0.5243829019,
"autogenerated": false,
"ratio": 4.125,
"config_test": false,
"has_no_keywords": false,... |
from __future__ import absolute_import, division, print_function
import click
import os
import yaml
class Config(object):
def __init__(self):
# used in projects site.conf files and hosts command
self.tmpfolder = os.path.expanduser('~/.local/bag8/')
# load config
self.config_path ... | {
"repo_name": "novafloss/bag8",
"path": "bag8/config.py",
"copies": "1",
"size": "1890",
"license": "mit",
"hash": 1011683812807282800,
"line_mean": 37.5714285714,
"line_max": 75,
"alpha_frac": 0.5597883598,
"autogenerated": false,
"ratio": 3.6416184971098264,
"config_test": true,
"has_no_key... |
from __future__ import absolute_import, division, print_function
import codecs
import functools
import inspect
import io
import math
import os
import re
import shutil
import struct
import sys
import tempfile
from errno import ENOENT
from collections import Iterator
from contextlib import contextmanager
from importlib ... | {
"repo_name": "chrisbarber/dask",
"path": "dask/utils.py",
"copies": "1",
"size": "30069",
"license": "bsd-3-clause",
"hash": 5544105893736050000,
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"line_max": 98,
"alpha_frac": 0.5690245768,
"autogenerated": false,
"ratio": 3.9424413268650844,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import codecs
import grp
import json
import logging
import os
import pwd
# from typing import Dict, Union
import click
import jinja2.sandbox
import credsmash.api
from .util import read_many, read_many_str, minjson, envfile_quote, shell_quote, parse_man... | {
"repo_name": "3stack-software/credsmash",
"path": "credsmash/templates.py",
"copies": "1",
"size": "8699",
"license": "apache-2.0",
"hash": -2841289603700595000,
"line_mean": 35.0954356846,
"line_max": 124,
"alpha_frac": 0.6021381768,
"autogenerated": false,
"ratio": 3.8355379188712524,
"confi... |
from __future__ import absolute_import, division, print_function
import codecs
import os
import platform
import re
import sys
from distutils.command.build import build
from distutils.command.build_clib import build_clib
from distutils.errors import DistutilsSetupError
from setuptools import find_packages, setup
from... | {
"repo_name": "hynek/argon2_cffi",
"path": "setup.py",
"copies": "1",
"size": "12414",
"license": "mit",
"hash": 8916101834499119000,
"line_mean": 30.9948453608,
"line_max": 79,
"alpha_frac": 0.5807153214,
"autogenerated": false,
"ratio": 3.837403400309119,
"config_test": false,
"has_no_keywo... |
from __future__ import (absolute_import, division, print_function)
import codecs
import os
from setuptools import find_packages, setup
import versioneer
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
return codecs.open(os.path.join(here, *parts), 'r').read()
long_description = read('RE... | {
"repo_name": "ODM2/YODA-Tools",
"path": "setup.py",
"copies": "2",
"size": "2003",
"license": "bsd-3-clause",
"hash": -4946691523238783,
"line_mean": 27.2112676056,
"line_max": 72,
"alpha_frac": 0.6440339491,
"autogenerated": false,
"ratio": 3.628623188405797,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division, print_function
import collections
from contextlib import closing
import errno
import gzip
import logging
import os
import re
import socket
import ssl
import sys
from tornado.escape import to_unicode
from tornado import gen
from tornado.httpclient import AsyncHTTPClien... | {
"repo_name": "SuminAndrew/tornado",
"path": "tornado/test/simple_httpclient_test.py",
"copies": "1",
"size": "30620",
"license": "apache-2.0",
"hash": 3493872818087759400,
"line_mean": 38.5607235142,
"line_max": 107,
"alpha_frac": 0.6159046375,
"autogenerated": false,
"ratio": 4.177353342428376,... |
from __future__ import absolute_import, division, print_function
import collections
from functools import wraps
import inspect
import numpy as np
try:
import scipy
import scipy.fftpack
except ImportError:
scipy = None
from .creation import linspace as _linspace
from .core import (
concatenate as _co... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/fft.py",
"copies": "1",
"size": "7358",
"license": "bsd-3-clause",
"hash": -2483915042790306000,
"line_mean": 24.5486111111,
"line_max": 80,
"alpha_frac": 0.5453927698,
"autogenerated": false,
"ratio": 3.15929583512237,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import collections
from operator import itemgetter
import pytest
from appr.exception import (ChannelNotFound, Forbidden, InvalidRelease, PackageAlreadyExists,
PackageNotFound, PackageReleaseNotFound, InvalidUsage)
def conv... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/tests/test_models.py",
"copies": "2",
"size": "13801",
"license": "apache-2.0",
"hash": 3880998322085061600,
"line_mean": 42.128125,
"line_max": 104,
"alpha_frac": 0.6461850591,
"autogenerated": false,
"ratio": 3.147320410490308,
"config... |
from __future__ import absolute_import, division, print_function
import collections
import functools
import math
import maya.OpenMaya
from pymel.core import aimConstraint, addAttr, arclen, cluster, createNode, delete, duplicate, dt, group, hide, \
orientConstraint, parentConstraint, pointConstraint, PyNode, scal... | {
"repo_name": "patcorwin/fossil",
"path": "pdil/tool/fossil/rigging/_util.py",
"copies": "1",
"size": "34335",
"license": "bsd-3-clause",
"hash": -7297588423068803000,
"line_mean": 30.6160220994,
"line_max": 135,
"alpha_frac": 0.5744575506,
"autogenerated": false,
"ratio": 3.551774076755974,
"c... |
from __future__ import absolute_import, division, print_function
import collections
import importlib
import gc
import gevent
import hashlib
import math
import os
import sys
import threading
import traceback
import uuid
import six
class UndefinedType(object):
def __repr__(self):
return "Undefined"
d... | {
"repo_name": "vpikulik/lymph",
"path": "lymph/utils/__init__.py",
"copies": "3",
"size": "4048",
"license": "apache-2.0",
"hash": 6311165038677819000,
"line_mean": 23.6829268293,
"line_max": 90,
"alpha_frac": 0.5886857708,
"autogenerated": false,
"ratio": 3.790262172284644,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import collections
import importlib
import gc
import gevent
import math
import os
import sys
import threading
import traceback
import uuid
class UndefinedType(object):
def __repr__(self):
return "Undefined"
def __bool__(self):
... | {
"repo_name": "mamachanko/lymph",
"path": "lymph/utils/__init__.py",
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"alpha_frac": 0.5851795264,
"autogenerated": false,
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"config_test": fa... |
from __future__ import absolute_import, division, print_function
import collections
import importlib
import inspect
import gc
import gevent
import math
import os
import re
import sys
import threading
import traceback
import uuid
class UndefinedType(object):
def __repr__(self):
return "Undefined"
def... | {
"repo_name": "alazaro/lymph",
"path": "lymph/utils/__init__.py",
"copies": "1",
"size": "3952",
"license": "apache-2.0",
"hash": 7529416317088365000,
"line_mean": 23.8553459119,
"line_max": 90,
"alpha_frac": 0.586791498,
"autogenerated": false,
"ratio": 3.818357487922705,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import collections
import itertools as it
import operator
import warnings
import numpy as np
import pandas as pd
from .core import (DataFrame, Series, aca, map_partitions, merge,
new_dd_object, no_default, split_out_on_index)
from .m... | {
"repo_name": "mraspaud/dask",
"path": "dask/dataframe/groupby.py",
"copies": "1",
"size": "38664",
"license": "bsd-3-clause",
"hash": -8083008032709018000,
"line_mean": 35.406779661,
"line_max": 109,
"alpha_frac": 0.5759621353,
"autogenerated": false,
"ratio": 3.901513622603431,
"config_test":... |
from __future__ import absolute_import, division, print_function
import collections
import itertools as it
import operator
import warnings
import numpy as np
import pandas as pd
from .core import DataFrame, Series, aca, map_partitions, no_default
from .shuffle import shuffle
from .utils import make_meta, insert_meta... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/dataframe/groupby.py",
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"license": "mit",
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"line_max": 95,
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"autogenerated": false,
"ratio": 3.89... |
from __future__ import (absolute_import, division, print_function)
import collections
import numpy as np
from addie.processing.mantid.master_table.import_from_database.gui_handler import FilterTableHandler, FilterResultTableHandler
class ApplyRuleHandler:
def __init__(self, parent=None):
self.parent = ... | {
"repo_name": "neutrons/FastGR",
"path": "addie/processing/mantid/master_table/import_from_database/apply_rule_handler.py",
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"autogenerated": false,
"ratio... |
from __future__ import (absolute_import, division, print_function)
import collections
from addie.processing.mantid.master_table.master_table_loader import FormatAsciiList
from addie.utilities.list_runs_parser import ListRunsParser
from addie.utilities.general import json_extractor
LIST_OF_METADATA_TO_CHECK = {"Mass ... | {
"repo_name": "neutrons/FastGR",
"path": "addie/processing/mantid/master_table/import_from_database/format_json_from_database_to_master_table.py",
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"license": "mit",
"hash": 6849246698823356000,
"line_mean": 42.6375545852,
"line_max": 120,
"alpha_frac": 0.5355749024,
"... |
from __future__ import absolute_import, division, print_function
import collections
class CaseInsensitiveDict(collections.MutableMapping):
def __init__(self, data=None, **kwargs):
self._store = dict()
if data is None:
data = {}
self.update(data, **kwargs)
def __setitem__... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "symantecssl/datastructures.py",
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"ratio": 4,
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... |
from __future__ import absolute_import, division, print_function
import colorsys
from fractions import Fraction
import numpy as np
import pylab
import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
from smartFormat import smartFormat, TeX
... | {
"repo_name": "jllanfranchi/pygeneric",
"path": "plotGoodies.py",
"copies": "1",
"size": "21446",
"license": "mit",
"hash": -3357342394156699000,
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"line_max": 130,
"alpha_frac": 0.5705959153,
"autogenerated": false,
"ratio": 3.1804834643333826,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import contextlib
import enum
import itertools
import logging
import threading
from six.moves import queue
import workflows
import workflows.logging
class Status(enum.Enum):
'''
Internal service status codes
--------------------------------------... | {
"repo_name": "xia2/workflows",
"path": "workflows/services/common_service.py",
"copies": "1",
"size": "17096",
"license": "bsd-3-clause",
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"line_max": 104,
"alpha_frac": 0.6655357978,
"autogenerated": false,
"ratio": 4.35123441079155,
"co... |
from __future__ import absolute_import, division, print_function
import contextlib
import logging
import multiprocessing
import threading
import time
import traceback
import warnings
from collections import Mapping, OrderedDict
import numpy as np
from ..conventions import cf_encoder
from ..core import indexing
from ... | {
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"path": "xarray/backends/common.py",
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from __future__ import absolute_import, division, print_function
import contextlib
"""
A module to find python file, but also embedding namespace package logic (PEP420)
"""
# We need to be extra careful with python versions
# Ref : https://docs.python.org/dev/library/importlib.html#importlib.import_module
import os... | {
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from __future__ import absolute_import, division, print_function
import copy
import hashlib
import inspect
import linecache
from ._compat import exec_, iteritems
from . import _config
class _Nothing(object):
"""
Sentinel class to indicate the lack of a value when ``None`` is ambiguous.
All instances of... | {
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"path": "attr/_make.py",
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"autogenerated": false,
"ratio": 3.943828529194383,
"config_test": false,
"has_no_keyword... |
from __future__ import absolute_import, division, print_function
import copy
import inspect
import linecache
import sys
import threading
import warnings
from operator import itemgetter
from . import _config, setters
from ._compat import (
HAS_F_STRINGS,
PY2,
PY310,
PYPY,
isclass,
iteritems,
... | {
"repo_name": "python-attrs/attrs",
"path": "src/attr/_make.py",
"copies": "2",
"size": "101447",
"license": "mit",
"hash": -1822634281005859600,
"line_mean": 31.2156240076,
"line_max": 79,
"alpha_frac": 0.5479610043,
"autogenerated": false,
"ratio": 4.136135687201859,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import copy
import json
import os.path
import shutil
import tempfile
import yaml
from appr.discovery import ishosted, split_package_name
from appr.formats.appr.manifest_jsonnet import ManifestJsonnet
from appr.formats.base import FormatBase
from appr.u... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/formats/appr/kub_base.py",
"copies": "2",
"size": "5923",
"license": "apache-2.0",
"hash": 6778166499572270000,
"line_mean": 31.1902173913,
"line_max": 99,
"alpha_frac": 0.5681242614,
"autogenerated": false,
"ratio": 4.390659747961453,
"... |
from __future__ import absolute_import, division, print_function
import copy
import json
import string
import workflows
try: # Python3 compatibility
basestring = basestring
except NameError:
basestring = (str, bytes)
class Recipe(object):
'''Object containing a processing recipe that can be passed to services... | {
"repo_name": "xia2/workflows",
"path": "workflows/recipe/recipe.py",
"copies": "1",
"size": "12389",
"license": "bsd-3-clause",
"hash": -8677705866911175000,
"line_mean": 36.0928143713,
"line_max": 127,
"alpha_frac": 0.619985471,
"autogenerated": false,
"ratio": 4.0407697325505545,
"config_tes... |
from __future__ import absolute_import, division, print_function
import copy
import linecache
import sys
import threading
import uuid
import warnings
from operator import itemgetter
from . import _config
from ._compat import (
PY2,
isclass,
iteritems,
metadata_proxy,
ordered_dict,
set_closure... | {
"repo_name": "sserrot/champion_relationships",
"path": "venv/Lib/site-packages/attr/_make.py",
"copies": "4",
"size": "70807",
"license": "mit",
"hash": -3664384271123570700,
"line_mean": 31.6600553506,
"line_max": 79,
"alpha_frac": 0.551993447,
"autogenerated": false,
"ratio": 4.135922897196262... |
from __future__ import absolute_import, division, print_function
import copy
import random
import pytest
import appr.semver
@pytest.fixture(scope='module')
def version_list():
l = ["1.4.0",
"1.6.0-alpha",
"1.6.0-alpha.1",
"1.6.0-alpha.beta",
"1.6.0-beta",
"1.6.0-bet... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "tests/test_semver.py",
"copies": "2",
"size": "2038",
"license": "apache-2.0",
"hash": -2190023654511110000,
"line_mean": 28.5362318841,
"line_max": 119,
"alpha_frac": 0.5009813543,
"autogenerated": false,
"ratio": 2.742934051144011,
"config_... |
from __future__ import absolute_import, division, print_function
import copy
from ._compat import iteritems
from ._make import Attribute, NOTHING, fields
def asdict(inst, recurse=True, filter=None):
"""
Return the ``attrs`` attribute values of *i* as a dict. Optionally recurse
into other ``attrs``-deco... | {
"repo_name": "cyli/attrs",
"path": "attr/_funcs.py",
"copies": "1",
"size": "2661",
"license": "mit",
"hash": 4144849698193384400,
"line_mean": 28.2417582418,
"line_max": 79,
"alpha_frac": 0.5475385194,
"autogenerated": false,
"ratio": 3.9716417910447763,
"config_test": false,
"has_no_keywor... |
from __future__ import absolute_import, division, print_function
import copy
from ._compat import iteritems
from ._make import NOTHING, _obj_setattr, fields
from .exceptions import AttrsAttributeNotFoundError
def asdict(inst, recurse=True, filter=None, dict_factory=dict,
retain_collection_types=False):
... | {
"repo_name": "emilio/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/attrs/src/attr/_funcs.py",
"copies": "54",
"size": "7894",
"license": "mpl-2.0",
"hash": -6401157151985768000,
"line_mean": 36.2358490566,
"line_max": 79,
"alpha_frac": 0.5557385356,
"autogenerated": false,
"rat... |
from __future__ import absolute_import, division, print_function
import copy
import numpy as np
from matplotlib.patches import Ellipse, Polygon, Rectangle, Path as MplPath, PathPatch
from matplotlib.transforms import IdentityTransform, blended_transform_factory
from glue.core.exceptions import UndefinedROI
from glue... | {
"repo_name": "saimn/glue",
"path": "glue/core/roi.py",
"copies": "1",
"size": "35257",
"license": "bsd-3-clause",
"hash": 8090697605407279000,
"line_mean": 26.8711462451,
"line_max": 97,
"alpha_frac": 0.5380208186,
"autogenerated": false,
"ratio": 3.820654529692241,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import copy
import numpy as np
from ..core.pycompat import OrderedDict
from ..core.variable import Variable
from .common import AbstractWritableDataStore
class InMemoryDataStore(AbstractWritableDataStore):
"""
Stores dimensions, variables and... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/memory.py",
"copies": "1",
"size": "1537",
"license": "apache-2.0",
"hash": 7802358578531043000,
"line_mean": 30.3673469388,
"line_max": 79,
"alpha_frac": 0.6629798308,
"autogenerated": false,
"ratio": 4.154054054054054,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import csv
import datetime
import functools
import time
import requests
from panoptes_client.panoptes import (
PanoptesAPIException,
Talk,
)
TALK_EXPORT_TYPES = (
'talk_comments',
'talk_tags',
)
talk = Talk()
class Exportable(objec... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/exportable.py",
"copies": "1",
"size": "5571",
"license": "apache-2.0",
"hash": 955584282095770400,
"line_mean": 29.6098901099,
"line_max": 79,
"alpha_frac": 0.5683001257,
"autogenerated": false,
"ratio": 4.42142857142857... |
from __future__ import absolute_import, division, print_function
import csv
import itertools as it
import os
from operator import itemgetter
from collections import Iterator
import sys
import datashape
from datashape.discovery import discover, null, string, unpack
from datashape import dshape, Record, Option, Fixed, ... | {
"repo_name": "aterrel/blaze",
"path": "blaze/data/csv.py",
"copies": "1",
"size": "7141",
"license": "bsd-3-clause",
"hash": -1764997209271546400,
"line_mean": 30.5973451327,
"line_max": 88,
"alpha_frac": 0.5353591934,
"autogenerated": false,
"ratio": 4.276047904191617,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import csv
import itertools as it
import os
import datashape
from dynd import nd
from .core import DataDescriptor
from .utils import coerce_record_to_row
from ..utils import partition_all, nth
from .. import py2help
__all__ = ['CSV']
def has_header(... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/data/csv.py",
"copies": "1",
"size": "4845",
"license": "bsd-3-clause",
"hash": 6584645608469060000,
"line_mean": 27.6686390533,
"line_max": 75,
"alpha_frac": 0.5490196078,
"autogenerated": false,
"ratio": 3.96481178396072,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import csv
import itertools as it
import os
import datashape
from dynd import nd
from .. import py2help
from .data_descriptor import DDesc, Capabilities
from .dynd_data_descriptor import DyND_DDesc
def open_file(path, mode, has_header):
"""Return... | {
"repo_name": "talumbau/blaze",
"path": "blaze/datadescriptor/csv_data_descriptor.py",
"copies": "3",
"size": "7159",
"license": "bsd-3-clause",
"hash": -1985219243039403300,
"line_mean": 33.9219512195,
"line_max": 83,
"alpha_frac": 0.5759184244,
"autogenerated": false,
"ratio": 4.130986728216965... |
from __future__ import absolute_import, division, print_function
import csv
import re
import datashape
from datashape import discover, Record, Option
from datashape.predicates import isrecord
from datashape.dispatch import dispatch
from collections import Iterator
from toolz import concat, keyfilter, assoc
import pan... | {
"repo_name": "mrocklin/into",
"path": "into/backends/csv.py",
"copies": "1",
"size": "7720",
"license": "bsd-3-clause",
"hash": 5095160124585989000,
"line_mean": 30.0040160643,
"line_max": 85,
"alpha_frac": 0.5893782383,
"autogenerated": false,
"ratio": 3.67444074250357,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import ctypes
from .. import llvm_array as lla
import llvm.core as lc
from llvm.core import Type, Function, Module
from ..llvm_array import (void_type, intp_type,
SCALAR, POINTER, array_kinds, check_array,
get_cpp_template... | {
"repo_name": "zeeshanali/blaze",
"path": "blaze/compute/bkernel/llutil.py",
"copies": "7",
"size": "4665",
"license": "bsd-3-clause",
"hash": -2294513906888643000,
"line_mean": 36.6209677419,
"line_max": 89,
"alpha_frac": 0.5852090032,
"autogenerated": false,
"ratio": 3.6906645569620253,
"conf... |
from __future__ import absolute_import, division, print_function
import ctypes
import llvm.core as lc
from llvm.core import Type
from ..llvm_array import (void_type, intp_type)
from blaze.py2help import PY2
int32_type = Type.int(32)
intp_type = Type.int(8*ctypes.sizeof(ctypes.c_void_p))
int8_p_type = Type.pointer(Typ... | {
"repo_name": "aaronmartin0303/blaze",
"path": "blaze/compute/bkernel/llutil.py",
"copies": "2",
"size": "4477",
"license": "bsd-3-clause",
"hash": -4093268613956062700,
"line_mean": 36,
"line_max": 89,
"alpha_frac": 0.5832030377,
"autogenerated": false,
"ratio": 3.6969446738232867,
"config_tes... |
from __future__ import absolute_import, division, print_function
import ctypes
import operator
import llvm.core as lc
from llvm.core import Type, Function, Module
import llvm.ee as le
from llvm.passes import build_pass_managers
from .. import llvm_array as lla
from blaze.py2help import izip, _strtypes, c_ssize_t, PY... | {
"repo_name": "AbhiAgarwal/blaze",
"path": "blaze/compute/bkernel/jit_ckernel.py",
"copies": "7",
"size": "13944",
"license": "bsd-3-clause",
"hash": 586995942842595800,
"line_mean": 42.1702786378,
"line_max": 90,
"alpha_frac": 0.5808232932,
"autogenerated": false,
"ratio": 3.61993769470405,
"c... |
from __future__ import absolute_import, division, print_function
import ctypes
import unittest
import datashape
from datashape import dshape, error
from datashape.py2help import skip
class TestDataShapeCreation(unittest.TestCase):
def test_raise_on_bad_input(self):
# Make sure it raises exceptions on a... | {
"repo_name": "talumbau/datashape",
"path": "datashape/tests/test_creation.py",
"copies": "1",
"size": "6153",
"license": "bsd-2-clause",
"hash": 6901419608142554000,
"line_mean": 46.6976744186,
"line_max": 80,
"alpha_frac": 0.6330245409,
"autogenerated": false,
"ratio": 3.498010233086981,
"con... |
from __future__ import absolute_import, division, print_function
import ctypes
from dynd import ndt, _lowlevel
import datashape
from .dynd_data_descriptor import DyNDDataDescriptor
def data_descriptor_from_ctypes(cdata, writable):
"""
Parameters
----------
cdata : ctypes data instance
The c... | {
"repo_name": "aaronmartin0303/blaze",
"path": "blaze/datadescriptor/membuf_data_descriptor.py",
"copies": "10",
"size": "1892",
"license": "bsd-3-clause",
"hash": -8144940776442677000,
"line_mean": 32.7857142857,
"line_max": 77,
"alpha_frac": 0.6358350951,
"autogenerated": false,
"ratio": 3.6525... |
from __future__ import absolute_import, division, print_function
import ctypes
from dynd import ndt, _lowlevel
import datashape
from .dynd_data_descriptor import DyND_DDesc
def data_descriptor_from_ctypes(cdata, writable):
"""
Parameters
----------
cdata : ctypes data instance
The ctypes da... | {
"repo_name": "FrancescAlted/blaze",
"path": "blaze/datadescriptor/membuf_data_descriptor.py",
"copies": "2",
"size": "1868",
"license": "bsd-3-clause",
"hash": 4605142460420198000,
"line_mean": 32.3571428571,
"line_max": 77,
"alpha_frac": 0.6295503212,
"autogenerated": false,
"ratio": 3.58541266... |
from __future__ import absolute_import, division, print_function
import curses
import threading
import time
import workflows.transport
from workflows.services.common_service import CommonService
try: # Python3 compatibility
basestring = basestring
except NameError:
basestring = (str, bytes)
class Monitor(): # p... | {
"repo_name": "xia2/workflows",
"path": "workflows/contrib/status_monitor.py",
"copies": "1",
"size": "7034",
"license": "bsd-3-clause",
"hash": 3147657323622373400,
"line_mean": 38.7401129944,
"line_max": 130,
"alpha_frac": 0.5978106341,
"autogenerated": false,
"ratio": 3.74746936600959,
"conf... |
from __future__ import absolute_import, division, print_function
import dask.array as da
from dask.utils import ignoring
from dask.array.reductions import arg_aggregate
import numpy as np
def eq(a, b):
if isinstance(a, da.Array):
a = a.compute()
if isinstance(b, da.Array):
b = b.compute()
... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/tests/test_reductions.py",
"copies": "1",
"size": "1663",
"license": "bsd-3-clause",
"hash": -8341213176583273000,
"line_mean": 30.9807692308,
"line_max": 67,
"alpha_frac": 0.5868911606,
"autogenerated": false,
"ratio": 2.7351973684210527,... |
from __future__ import absolute_import, division, print_function
import dask
from dask.array.blaze import *
from dask.array.into import into
from into import discover, convert, into
from collections import Iterable
from toolz import concat
from operator import getitem
def eq(a, b):
if isinstance(a, Array):
... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/tests/test_blaze.py",
"copies": "1",
"size": "4473",
"license": "bsd-3-clause",
"hash": -4750765025605636000,
"line_mean": 28.2352941176,
"line_max": 81,
"alpha_frac": 0.5325285044,
"autogenerated": false,
"ratio": 2.898898250162022,
"co... |
from __future__ import absolute_import, division, print_function
import dask
import dask.array as da
from dask.array.core import *
from dask.utils import raises
from toolz import merge
from operator import getitem, add, mul
inc = lambda x: x + 1
def test_getem():
assert getem('X', blockshape=(2, 3), shape=(4, ... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/tests/test_array_core.py",
"copies": "1",
"size": "13349",
"license": "bsd-3-clause",
"hash": -8179767841774279000,
"line_mean": 29.2013574661,
"line_max": 86,
"alpha_frac": 0.4852048843,
"autogenerated": false,
"ratio": 2.634497730412473,... |
from __future__ import absolute_import, division, print_function
import dask
from dask.async import (start_state_from_dask, get_sync, finish_task, sortkey,
remote_exception)
from dask.order import order
from dask.utils_test import GetFunctionTestMixin, inc, add
fib_dask = {'f0': 0, 'f1': 1, ... | {
"repo_name": "cowlicks/dask",
"path": "dask/tests/test_async.py",
"copies": "2",
"size": "5897",
"license": "bsd-3-clause",
"hash": -4677153238792300000,
"line_mean": 27.6262135922,
"line_max": 78,
"alpha_frac": 0.4612514838,
"autogenerated": false,
"ratio": 3.287068004459309,
"config_test": t... |
from __future__ import absolute_import, division, print_function
import datashape
from ..catalog.blaze_url import add_indexers_to_url
from .data_descriptor import DDesc, Capabilities
from dynd import nd, ndt
class Remote_DDesc(DDesc):
"""
A Blaze data descriptor which exposes an array on another
server.
... | {
"repo_name": "FrancescAlted/blaze",
"path": "blaze/datadescriptor/remote_data_descriptor.py",
"copies": "3",
"size": "2419",
"license": "bsd-3-clause",
"hash": 4032346576026830300,
"line_mean": 31.6891891892,
"line_max": 93,
"alpha_frac": 0.5874328235,
"autogenerated": false,
"ratio": 4.01827242... |
from __future__ import absolute_import, division, print_function
import datashape
from ..catalog.blaze_url import add_indexers_to_url
from .data_descriptor import IDataDescriptor, Capabilities
from dynd import nd, ndt
class RemoteDataDescriptor(IDataDescriptor):
"""
A Blaze data descriptor which exposes an ar... | {
"repo_name": "zeeshanali/blaze",
"path": "blaze/datadescriptor/remote_data_descriptor.py",
"copies": "7",
"size": "2470",
"license": "bsd-3-clause",
"hash": 2374037271377915000,
"line_mean": 32.8356164384,
"line_max": 93,
"alpha_frac": 0.5979757085,
"autogenerated": false,
"ratio": 4.11666666666... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import (discover, Tuple, Record, dshape, Fixed, DataShape,
to_numpy_dtype, isdimension, var)
from datashape.predicates import iscollection, isscalar, isrecord
from pandas import DataFrame, Series
import itertools
impor... | {
"repo_name": "vitan/blaze",
"path": "blaze/api/interactive.py",
"copies": "1",
"size": "6383",
"license": "bsd-3-clause",
"hash": 9000879130301823000,
"line_mean": 27.8823529412,
"line_max": 79,
"alpha_frac": 0.5874980417,
"autogenerated": false,
"ratio": 3.8244457759137207,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import (dshape, DataShape, Record, isdimension, Option,
discover, Tuple)
from .dispatch import dispatch
from .expr import Expr
from .compatibility import _strtypes
__all__ = []
try:
import pyspark
from p... | {
"repo_name": "vitan/blaze",
"path": "blaze/sparksql.py",
"copies": "1",
"size": "6243",
"license": "bsd-3-clause",
"hash": -5786337599849421000,
"line_mean": 34.6742857143,
"line_max": 114,
"alpha_frac": 0.5720006407,
"autogenerated": false,
"ratio": 4.032945736434108,
"config_test": true,
"... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import Record, DataShape, dshape, TimeDelta, Decimal, Option
from datashape import coretypes as ct
from datashape.predicates import iscollection, isboolean, isnumeric, isdatelike
from numpy import inf
from odo.utils import... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/expr/reductions.py",
"copies": "3",
"size": "9312",
"license": "bsd-3-clause",
"hash": 7065385435187259000,
"line_mean": 27.1329305136,
"line_max": 80,
"alpha_frac": 0.5678694158,
"autogenerated": false,
"ratio": 3.783827712312068,
"config_test"... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import Record, DataShape, dshape, TimeDelta
from datashape import coretypes as ct
from datashape.predicates import iscollection, isboolean, isnumeric, isdatelike
from numpy import inf
from odo.utils import copydoc
import t... | {
"repo_name": "jdmcbr/blaze",
"path": "blaze/expr/reductions.py",
"copies": "10",
"size": "8915",
"license": "bsd-3-clause",
"hash": 8618265578898406000,
"line_mean": 26.600619195,
"line_max": 80,
"alpha_frac": 0.5623107123,
"autogenerated": false,
"ratio": 3.742653232577666,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import String, DataShape, Option, bool_
from odo.utils import copydoc
from .expressions import schema_method_list, ElemWise
from .arithmetic import Interp, Repeat, _mkbin, repeat, interp, _add, _radd
from ..compatibility ... | {
"repo_name": "cpcloud/blaze",
"path": "blaze/expr/strings.py",
"copies": "2",
"size": "1851",
"license": "bsd-3-clause",
"hash": 9044334406268298000,
"line_mean": 25.4428571429,
"line_max": 79,
"alpha_frac": 0.622906537,
"autogenerated": false,
"ratio": 3.5190114068441063,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import String
from datashape.predicates import isrecord, iscollection
from .expressions import Expr, schema_method_list, ElemWise
__all__ = ['Like', 'like', 'strlen', 'UnaryStringFunction']
class Like(Expr):
""" Fi... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/expr/strings.py",
"copies": "1",
"size": "1774",
"license": "bsd-3-clause",
"hash": -2493880716499492400,
"line_mean": 26.2923076923,
"line_max": 74,
"alpha_frac": 0.5868094701,
"autogenerated": false,
"ratio": 3.7584745762711864,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import String
from datashape.predicates import isrecord
from .expressions import Expr, schema_method_list, ElemWise
from .arithmetic import Interp, Repeat, _mkbin, repeat, interp, _add, _radd
__all__ = ['Like', 'like', 's... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/expr/strings.py",
"copies": "1",
"size": "1988",
"license": "bsd-3-clause",
"hash": -4918247206733027000,
"line_mean": 27,
"line_max": 77,
"alpha_frac": 0.5890342052,
"autogenerated": false,
"ratio": 3.5627240143369177,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import String
from datashape.predicates import isrecord
from odo.utils import copydoc
from .expressions import Expr, schema_method_list, ElemWise
from .arithmetic import Interp, Repeat, _mkbin, repeat, interp, _add, _radd... | {
"repo_name": "jcrist/blaze",
"path": "blaze/expr/strings.py",
"copies": "10",
"size": "2006",
"license": "bsd-3-clause",
"hash": 3489335385711116300,
"line_mean": 26.4794520548,
"line_max": 77,
"alpha_frac": 0.5947158524,
"autogenerated": false,
"ratio": 3.550442477876106,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import datashape
import datetime
from datashape import discover, Tuple, Record, DataShape, var
from datashape.predicates import iscollection, isscalar, isrecord
from pandas import DataFrame, Series
import itertools
from functools import reduce
import num... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/interactive.py",
"copies": "1",
"size": "9027",
"license": "bsd-3-clause",
"hash": 9174926787857535000,
"line_mean": 25.6283185841,
"line_max": 78,
"alpha_frac": 0.5973191537,
"autogenerated": false,
"ratio": 3.64874696847211,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import datashape
import datetime
import operator
import itertools
import warnings
from collections import Iterator
from functools import reduce
from datashape import discover, Tuple, Record, DataShape, var
from datashape.predicates import iscollection,... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/interactive.py",
"copies": "1",
"size": "9540",
"license": "bsd-3-clause",
"hash": 8447383822870959000,
"line_mean": 26.652173913,
"line_max": 78,
"alpha_frac": 0.5850104822,
"autogenerated": false,
"ratio": 3.7149532710280373,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import datashape
import blaze
from blaze.optional_packages import tables_is_here
import unittest
from blaze.catalog.tests.catalog_harness import CatalogHarness
from blaze.py2help import skipIf
class TestCatalog(unittest.TestCase):
def setUp(self):... | {
"repo_name": "markflorisson/blaze-core",
"path": "blaze/catalog/tests/test_catalog.py",
"copies": "5",
"size": "3630",
"license": "bsd-3-clause",
"hash": -3648254729173832700,
"line_mean": 37.2105263158,
"line_max": 73,
"alpha_frac": 0.5608815427,
"autogenerated": false,
"ratio": 3.4084507042253... |
from __future__ import absolute_import, division, print_function
import datetime as dt
import glob
import math
import os
import time
import zlib
import bitarray
import numpy as np
from six.moves import cPickle as pickle
from six.moves import range
from .bloomfilter import BloomFilter
from .hashfunctions import gener... | {
"repo_name": "Parsely/probably",
"path": "probably/temporal_daily.py",
"copies": "1",
"size": "8286",
"license": "mit",
"hash": -3118767756969751000,
"line_mean": 40.223880597,
"line_max": 126,
"alpha_frac": 0.6342022689,
"autogenerated": false,
"ratio": 3.9608030592734225,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import datetime
from collections import Iterator
from itertools import islice, product
import os
import re
try:
from cytoolz import nth, unique, concat
except ImportError:
from toolz import nth, unique, concat
import numpy as np
# these are use... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/utils.py",
"copies": "3",
"size": "7079",
"license": "bsd-3-clause",
"hash": -135684928601881540,
"line_mean": 23.4948096886,
"line_max": 80,
"alpha_frac": 0.5633564063,
"autogenerated": false,
"ratio": 3.6508509541000516,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import datetime
from functools import partial
from datashape import Mono, DataShape
import pandas as pd
from blaze.dispatch import dispatch
from blaze.compatibility import unicode
json_dumps_ns = dict()
dispatch = partial(dispatch, namespace=json_dum... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/server/serialization/json_dumps.py",
"copies": "3",
"size": "1089",
"license": "bsd-3-clause",
"hash": 6788164172767670000,
"line_mean": 19.5471698113,
"line_max": 64,
"alpha_frac": 0.6721763085,
"autogenerated": false,
"ratio": 3.330275229357798,... |
from __future__ import absolute_import, division, print_function
import datetime
import hashlib
import json
import re
import semantic_version
from appr.exception import (InvalidUsage, InvalidRelease, PackageAlreadyExists,
PackageReleaseNotFound, raise_package_not_found)
from appr.models.... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/models/package_base.py",
"copies": "2",
"size": "8827",
"license": "apache-2.0",
"hash": -8093664008787529000,
"line_mean": 31.6925925926,
"line_max": 99,
"alpha_frac": 0.5963521015,
"autogenerated": false,
"ratio": 4.268375241779497,
"c... |
from __future__ import absolute_import, division, print_function
import datetime
import json
from copy import deepcopy
import stripe
from stripe import api_requestor, util, six
def _compute_diff(current, previous):
if isinstance(current, dict):
previous = previous or {}
diff = current.copy()
... | {
"repo_name": "stripe/stripe-python",
"path": "stripe/stripe_object.py",
"copies": "1",
"size": "11864",
"license": "mit",
"hash": -1205466749329961000,
"line_mean": 31.0648648649,
"line_max": 79,
"alpha_frac": 0.5533546864,
"autogenerated": false,
"ratio": 4.2041105598866055,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import datetime
import json
import tempfile
import uuid
from collections import OrderedDict
import pytest
import stripe
from stripe import six, util
from stripe.stripe_response import StripeResponse, StripeStreamResponse
from stripe.six.moves.urllib.p... | {
"repo_name": "stripe/stripe-python",
"path": "tests/test_api_requestor.py",
"copies": "1",
"size": "25332",
"license": "mit",
"hash": -7947236868041611000,
"line_mean": 31.7286821705,
"line_max": 78,
"alpha_frac": 0.5481999053,
"autogenerated": false,
"ratio": 3.832375189107413,
"config_test":... |
from __future__ import absolute_import, division, print_function
import datetime
import json
import appr.semver
from appr.exception import (PackageAlreadyExists, PackageNotFound, ResourceNotFound,
raise_channel_not_found, raise_package_not_found)
DEFAULT_LOCK_TIMEOUT = 3
class ModelsInd... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/models/kv/models_index_base.py",
"copies": "2",
"size": "13077",
"license": "apache-2.0",
"hash": -3535560254784361000,
"line_mean": 35.8366197183,
"line_max": 94,
"alpha_frac": 0.5705437027,
"autogenerated": false,
"ratio": 4.345962113659... |
from __future__ import absolute_import, division, print_function
import datetime
import os
import platform
import sys
import uuid
import copy
import numpy
import xarray
from pandas import to_datetime
import datacube
from ..model import GeoPolygon, CRS, Dataset
import yaml
try:
from yaml import CSafeDumper as Sa... | {
"repo_name": "ceos-seo/Data_Cube_v2",
"path": "agdc-v2/datacube/model/utils.py",
"copies": "1",
"size": "7075",
"license": "apache-2.0",
"hash": -638702947836383100,
"line_mean": 31.1590909091,
"line_max": 114,
"alpha_frac": 0.5725795053,
"autogenerated": false,
"ratio": 3.7374537770734286,
"c... |
from __future__ import absolute_import, division, print_function
import datetime
import warnings
from functools import wraps
import pandas as pd
from pandas.core.window import Rolling as pd_Rolling
from ..base import tokenize
from ..utils import M, funcname, derived_from
from .core import _emulate
from .utils import... | {
"repo_name": "mraspaud/dask",
"path": "dask/dataframe/rolling.py",
"copies": "2",
"size": "12635",
"license": "bsd-3-clause",
"hash": 5927844971846327000,
"line_mean": 34.3921568627,
"line_max": 93,
"alpha_frac": 0.5921646221,
"autogenerated": false,
"ratio": 3.790879087908791,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import datetime
import numpy as np
from pandas import DataFrame, Series
from datashape import to_numpy, to_numpy_dtype
from numbers import Number
from ..expr import (
Reduction, Field, Projection, Broadcast, Selection, ndim,
Distinct, Sort, Tai... | {
"repo_name": "cpcloud/blaze",
"path": "blaze/compute/numpy.py",
"copies": "2",
"size": "12793",
"license": "bsd-3-clause",
"hash": 2202862593433332200,
"line_mean": 28.075,
"line_max": 84,
"alpha_frac": 0.6330024232,
"autogenerated": false,
"ratio": 3.1847149614139907,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import datetime
try:
from cytoolz import curry
except ImportError:
from toolz import curry
from datashape import dshape
import numpy as np
import pandas as pd
from pandas.io.packers import decode
# Imports that replace older utils.
from blaze.... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/server/serialization/object_hook.py",
"copies": "3",
"size": "2571",
"license": "bsd-3-clause",
"hash": 7754648920608950000,
"line_mean": 22.8055555556,
"line_max": 78,
"alpha_frac": 0.6468300272,
"autogenerated": false,
"ratio": 3.808888888888888... |
from __future__ import absolute_import, division, print_function
import enum
from .utils import xml_to_dict
from .models import BaseModel
class ProductCode(enum.Enum):
QuickSSLPremium = "QuickSSLPremium"
QuickSSL = "QuickSSL"
FreeSSL = "FreeSSL"
RapidSSL = "RapidSSL"
EnterpriseSSL = "ESSL"
... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "symantecssl/order.py",
"copies": "1",
"size": "6071",
"license": "apache-2.0",
"hash": 1291378351544392000,
"line_mean": 23.9835390947,
"line_max": 75,
"alpha_frac": 0.6300444737,
"autogenerated": false,
"ratio": 3.641871625674865,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import enum
import lxml
from .datastructures import CaseInsensitiveDict
from .exceptions import SymantecError
class BaseModel(object):
_responsetype = "XML"
def __init__(self, **kwargs):
self.data = CaseInsensitiveDict(kwargs)
... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "symantecssl/models.py",
"copies": "1",
"size": "2811",
"license": "apache-2.0",
"hash": 9140226084404838000,
"line_mean": 26.5588235294,
"line_max": 75,
"alpha_frac": 0.4966204198,
"autogenerated": false,
"ratio": 4.512038523274478,
"config_test":... |
from __future__ import absolute_import, division, print_function
import errno
import inspect
from collections import Container
from contextlib import contextmanager
from datetime import datetime, timedelta
from hashlib import md5
from pathlib import Path
import six
from boltons.formatutils import DeferredValue as DV
... | {
"repo_name": "RazerM/bucketcache",
"path": "bucketcache/buckets.py",
"copies": "1",
"size": "16989",
"license": "mit",
"hash": -332298416887734000,
"line_mean": 32.3772102161,
"line_max": 91,
"alpha_frac": 0.5675437048,
"autogenerated": false,
"ratio": 4.322900763358779,
"config_test": true,
... |
from __future__ import absolute_import, division, print_function
import flask
import requests
from odo import resource
from datashape import dshape
from ..expr import Expr
from ..dispatch import dispatch
from .server import DEFAULT_PORT
from .serialization import json
# These are a hack for testing
# It's convenien... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/server/client.py",
"copies": "1",
"size": "3276",
"license": "bsd-3-clause",
"hash": -3073289098982557700,
"line_mean": 25,
"line_max": 71,
"alpha_frac": 0.6068376068,
"autogenerated": false,
"ratio": 3.913978494623656,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import fnmatch
from toolz import compose, identity
from datashape.predicates import isscalar
from ..expr import (
Apply,
By,
Distinct,
ElemWise,
Expr,
Head,
Join,
Label,
Like,
Merge,
ReLabel,
Reduction,
... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/compute/spark.py",
"copies": "3",
"size": "5897",
"license": "bsd-3-clause",
"hash": 7260012619172740000,
"line_mean": 23.7773109244,
"line_max": 78,
"alpha_frac": 0.6252331694,
"autogenerated": false,
"ratio": 3.3988472622478385,
"config_test":... |
from __future__ import absolute_import, division, print_function
import fnmatch
from toolz import compose, identity
from datashape.predicates import isscalar
from ..expr import (
Expr, ElemWise, SimpleSelection, Sort, Apply, Distinct, Join, By, Label,
Summary, by, ReLabel, Like, Reduction, Head
)
from .pytho... | {
"repo_name": "cpcloud/blaze",
"path": "blaze/compute/spark.py",
"copies": "2",
"size": "5598",
"license": "bsd-3-clause",
"hash": -7543090797152899000,
"line_mean": 25.6571428571,
"line_max": 78,
"alpha_frac": 0.6332618792,
"autogenerated": false,
"ratio": 3.3783946891973446,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import functools
from six import string_types, with_metaclass
class MethodsInjector(type):
def __new__(cls, *args, **kwargs):
generated_cls = type.__new__(cls, *args, **kwargs)
def _init(self, value):
value_type = geta... | {
"repo_name": "huntzhan/tcg",
"path": "tcg/ast/elements.py",
"copies": "1",
"size": "2369",
"license": "mit",
"hash": -5444955809567215000,
"line_mean": 25.9204545455,
"line_max": 75,
"alpha_frac": 0.6057408189,
"autogenerated": false,
"ratio": 3.8836065573770493,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
import functools
import hmac
import io
import logging
import sys
import os
import re
import stripe
from stripe import six
from stripe.six.moves.urllib.parse import parse_qsl
STRIPE_LOG = os.environ.get("STRIPE_LOG")
logger = logging.getLogger("stripe... | {
"repo_name": "stripe/stripe-python",
"path": "stripe/util.py",
"copies": "1",
"size": "6925",
"license": "mit",
"hash": -5246313024708685000,
"line_mean": 27.9748953975,
"line_max": 79,
"alpha_frac": 0.6053429603,
"autogenerated": false,
"ratio": 3.733153638814016,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import functools
import inspect
import operator
import sys
import types
PY3 = sys.version_info[0] == 3
PY2 = sys.version_info[0] == 2
if PY3:
import builtins
from queue import Queue, Empty
from itertools import zip_longest
from io impor... | {
"repo_name": "pombredanne/dask",
"path": "dask/compatibility.py",
"copies": "2",
"size": "2080",
"license": "bsd-3-clause",
"hash": 6442610088047308000,
"line_mean": 22.908045977,
"line_max": 80,
"alpha_frac": 0.6466346154,
"autogenerated": false,
"ratio": 4.416135881104034,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import functools
import inspect
import sys
import warnings
from collections import OrderedDict
import attr
import py
from py._code.code import FormattedExcinfo
import _pytest
from _pytest import nodes
from _pytest._code.code import TerminalRepr
from _p... | {
"repo_name": "avadacatavra/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/pytest/_pytest/fixtures.py",
"copies": "15",
"size": "45996",
"license": "mpl-2.0",
"hash": -2146177017441203700,
"line_mean": 39.1011333915,
"line_max": 111,
"alpha_frac": 0.6082702844,
"autogenerated": fal... |
from __future__ import absolute_import, division, print_function
import functools
import itertools
from collections import defaultdict
from datetime import timedelta
import numpy as np
import pandas as pd
import xarray as xr # only for Dataset and DataArray
from . import (
arithmetic, common, dtypes, duck_arra... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/variable.py",
"copies": "1",
"size": "70803",
"license": "apache-2.0",
"hash": 6490055112699620000,
"line_mean": 36.4817363684,
"line_max": 79,
"alpha_frac": 0.5813312995,
"autogenerated": false,
"ratio": 4.396882568465504,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import functools
import itertools
import warnings
import numpy as np
from ..core.formatting import format_item
from ..core.pycompat import getargspec
from .utils import (
_determine_cmap_params, _infer_xy_labels, import_matplotlib_pyplot)
# Overri... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/plot/facetgrid.py",
"copies": "1",
"size": "15298",
"license": "apache-2.0",
"hash": -7728895621259051000,
"line_mean": 34.167816092,
"line_max": 79,
"alpha_frac": 0.5656948621,
"autogenerated": false,
"ratio": 4.276768241543192,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import functools
import operator
from collections import Hashable, defaultdict
from datetime import timedelta
import numpy as np
import pandas as pd
from . import duck_array_ops, nputils, utils
from .pycompat import (
dask_array_type, integer_types... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/indexing.py",
"copies": "1",
"size": "46534",
"license": "apache-2.0",
"hash": 3760284252601153000,
"line_mean": 35.75671406,
"line_max": 86,
"alpha_frac": 0.6060299996,
"autogenerated": false,
"ratio": 4.099550700378821,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import functools
import operator
import warnings
from collections import defaultdict
import numpy as np
from . import utils
from .indexing import get_indexer_nd
from .pycompat import OrderedDict, iteritems, suppress
from .utils import is_dict_like, is_... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/alignment.py",
"copies": "1",
"size": "18616",
"license": "apache-2.0",
"hash": 5063458242454570000,
"line_mean": 34.662835249,
"line_max": 79,
"alpha_frac": 0.5881499785,
"autogenerated": false,
"ratio": 4.37406015037594,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import functools
import operator
import warnings
from distutils.version import LooseVersion
import numpy as np
from .. import Variable, coding
from ..coding.variables import pop_to
from ..core import indexing
from ..core.pycompat import (
PY3, Orde... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/netCDF4_.py",
"copies": "1",
"size": "17244",
"license": "apache-2.0",
"hash": -4800416034808279000,
"line_mean": 36.7330415755,
"line_max": 79,
"alpha_frac": 0.5845511482,
"autogenerated": false,
"ratio": 4.118461905899212,
"config_test"... |
from __future__ import absolute_import, division, print_function
import functools
import six
from django.conf import settings
from rest_framework.exceptions import ParseError, PermissionDenied
from rest_framework.response import Response
from sentry import features
from sentry.api.bases import OrganizationEventsEnd... | {
"repo_name": "beeftornado/sentry",
"path": "src/sentry/api/endpoints/organization_group_index.py",
"copies": "1",
"size": "15942",
"license": "bsd-3-clause",
"hash": 61428417555670460,
"line_mean": 43.4066852368,
"line_max": 133,
"alpha_frac": 0.5769037762,
"autogenerated": false,
"ratio": 4.863... |
from __future__ import absolute_import, division, print_function
import functools
import six
from django.conf import settings
from rest_framework.exceptions import PermissionDenied
from rest_framework.response import Response
from sentry import features
from sentry.api.bases import OrganizationEventsEndpointBase, O... | {
"repo_name": "mvaled/sentry",
"path": "src/sentry/api/endpoints/organization_group_index.py",
"copies": "1",
"size": "14036",
"license": "bsd-3-clause",
"hash": -2762507686516122000,
"line_mean": 43.417721519,
"line_max": 98,
"alpha_frac": 0.5777286976,
"autogenerated": false,
"ratio": 4.9773049... |
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