text stringlengths 0 1.05M | meta dict |
|---|---|
from __future__ import absolute_import, division, print_function
import functools
import sys
import traceback
from tornado.concurrent import Future
from tornado import gen
from tornado.httpclient import HTTPError, HTTPRequest
from tornado.log import gen_log, app_log
from tornado.simple_httpclient import SimpleAsyncHT... | {
"repo_name": "Lancher/tornado",
"path": "tornado/test/websocket_test.py",
"copies": "2",
"size": "23022",
"license": "apache-2.0",
"hash": -3040779872807273500,
"line_mean": 34.4730354391,
"line_max": 103,
"alpha_frac": 0.6224046564,
"autogenerated": false,
"ratio": 3.996875,
"config_test": tr... |
from __future__ import absolute_import, division, print_function
import functools
import sys
import warnings
from collections import Mapping, defaultdict
from distutils.version import LooseVersion
from numbers import Number
import numpy as np
import pandas as pd
import xarray as xr
from . import (
alignment, du... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/dataset.py",
"copies": "1",
"size": "136388",
"license": "apache-2.0",
"hash": -8335074243642783000,
"line_mean": 37.7796417401,
"line_max": 92,
"alpha_frac": 0.563429334,
"autogenerated": false,
"ratio": 4.568806110143374,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import functools
import warnings
from distutils.version import LooseVersion
from io import BytesIO
import numpy as np
from .. import Variable
from ..core.indexing import NumpyIndexingAdapter
from ..core.pycompat import OrderedDict, basestring, iteritem... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/scipy_.py",
"copies": "1",
"size": "9010",
"license": "apache-2.0",
"hash": -4058955448310679000,
"line_mean": 35.7755102041,
"line_max": 78,
"alpha_frac": 0.584017758,
"autogenerated": false,
"ratio": 4.2884340790099955,
"config_test": f... |
from __future__ import absolute_import, division, print_function
import functools
import warnings
import numpy as np
import pandas as pd
from . import computation, groupby, indexing, ops, resample, rolling, utils
from ..plot.plot import _PlotMethods
from .accessors import DatetimeAccessor
from .alignment import alig... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/dataarray.py",
"copies": "1",
"size": "77486",
"license": "apache-2.0",
"hash": -824658212618687600,
"line_mean": 35.3784037559,
"line_max": 79,
"alpha_frac": 0.573639109,
"autogenerated": false,
"ratio": 4.540106638542216,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import functools
from ._compat import new_class
from ._make import _make_ne
_operation_names = {"eq": "==", "lt": "<", "le": "<=", "gt": ">", "ge": ">="}
def cmp_using(
eq=None,
lt=None,
le=None,
gt=None,
ge=None,
require_sam... | {
"repo_name": "python-attrs/attrs",
"path": "src/attr/_cmp.py",
"copies": "2",
"size": "4133",
"license": "mit",
"hash": -8286033524124914000,
"line_mean": 26.1907894737,
"line_max": 77,
"alpha_frac": 0.5831115413,
"autogenerated": false,
"ratio": 3.8843984962406015,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import functools
from toolz import merge
from multipledispatch import Dispatcher
from .convert import convert
from .append import append
from .resource import resource
from .utils import ignoring
import datashape
from datashape import discover
from d... | {
"repo_name": "quantopian/odo",
"path": "odo/into.py",
"copies": "5",
"size": "4965",
"license": "bsd-3-clause",
"hash": 1434546908081121000,
"line_mean": 30.6242038217,
"line_max": 92,
"alpha_frac": 0.6616314199,
"autogenerated": false,
"ratio": 3.816295157571099,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
import functools
import numpy as np
import pandas as pd
from . import dtypes, duck_array_ops, nputils, ops
from .arithmetic import SupportsArithmetic
from .combine import concat
from .common import ImplementsArrayReduce, ImplementsDatasetReduce
from .p... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/groupby.py",
"copies": "1",
"size": "25171",
"license": "apache-2.0",
"hash": 2869993255766389000,
"line_mean": 36.7376311844,
"line_max": 79,
"alpha_frac": 0.5917921418,
"autogenerated": false,
"ratio": 4.434637068357999,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import functools
import numpy as np
from .. import Variable
from ..core import indexing
from ..core.pycompat import OrderedDict, bytes_type, iteritems, unicode_type
from ..core.utils import FrozenOrderedDict, close_on_error
from .common import (
HD... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/h5netcdf_.py",
"copies": "1",
"size": "8611",
"license": "apache-2.0",
"hash": -2122231074646926000,
"line_mean": 35.7991452991,
"line_max": 79,
"alpha_frac": 0.589710835,
"autogenerated": false,
"ratio": 4.079109426811938,
"config_test":... |
from __future__ import absolute_import, division, print_function
import functools
import numpy as np
from .. import Variable
from ..core import indexing
from ..core.utils import Frozen, FrozenOrderedDict
from .common import AbstractDataStore, BackendArray, DataStorePickleMixin
class NioArrayWrapper(BackendArray):
... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/pynio_.py",
"copies": "1",
"size": "2731",
"license": "apache-2.0",
"hash": -7227445321616380000,
"line_mean": 31.5119047619,
"line_max": 76,
"alpha_frac": 0.6246796045,
"autogenerated": false,
"ratio": 3.935158501440922,
"config_test": f... |
from __future__ import absolute_import, division, print_function
import functools
import six
from rest_framework.response import Response
from sentry import analytics, eventstore, search
from sentry.api.base import DocSection, EnvironmentMixin
from sentry.api.bases.project import ProjectEndpoint, ProjectEventPermiss... | {
"repo_name": "mvaled/sentry",
"path": "src/sentry/api/endpoints/project_group_index.py",
"copies": "1",
"size": "13242",
"license": "bsd-3-clause",
"hash": -455965934252018700,
"line_mean": 42.5592105263,
"line_max": 95,
"alpha_frac": 0.5752152243,
"autogenerated": false,
"ratio": 4.801305293691... |
from __future__ import absolute_import, division, print_function
import gc
import io
import locale # system locale module, not tornado.locale
import logging
import operator
import textwrap
import sys
from tornado.httpclient import AsyncHTTPClient
from tornado.httpserver import HTTPServer
from tornado.ioloop import I... | {
"repo_name": "hhru/tornado",
"path": "tornado/test/runtests.py",
"copies": "1",
"size": "8554",
"license": "apache-2.0",
"hash": -1016291712964334000,
"line_mean": 37.7058823529,
"line_max": 92,
"alpha_frac": 0.6502221183,
"autogenerated": false,
"ratio": 4.090865614538498,
"config_test": true... |
from __future__ import absolute_import, division, print_function
import getpass
import logging
import os
import socket
from threading import Thread
from time import sleep
from mentos.subscription import Event, Subscription
from mentos.utils import encode_data, run_background
from toolz import merge
from tornado.ioloo... | {
"repo_name": "Arttii/malefico",
"path": "mentos/scheduler.py",
"copies": "2",
"size": "11355",
"license": "apache-2.0",
"hash": -4477812888790744000,
"line_mean": 31.8179190751,
"line_max": 86,
"alpha_frac": 0.515896081,
"autogenerated": false,
"ratio": 4.229050279329609,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import gym
class EnvWrapper:
"""Wrapper around OpenAI Gym environments allowing
for state and reward preprocessing."""
def __init__(self, name, state_filter=None, reward_filter=None):
self.name = name
self.env = gym.make(na... | {
"repo_name": "domluna/deep_rl",
"path": "deep_rl/envs/env_wrapper.py",
"copies": "1",
"size": "1191",
"license": "mit",
"hash": 1467084896663312100,
"line_mean": 28.775,
"line_max": 77,
"alpha_frac": 0.6364399664,
"autogenerated": false,
"ratio": 3.7452830188679247,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import gzip
from datashape import discover, dshape
from collections import Iterator
from toolz import partial, concat
import uuid
import os
from ..compatibility import unicode
from ..chunks import chunks
from ..drop import drop
from ..temp import Temp
f... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/text.py",
"copies": "9",
"size": "2024",
"license": "bsd-3-clause",
"hash": 4503148597744755000,
"line_mean": 24.9487179487,
"line_max": 72,
"alpha_frac": 0.6818181818,
"autogenerated": false,
"ratio": 3.5261324041811846,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import h5py
import os
import datashape
from datashape import DataShape, Record, to_numpy, discover
from datashape.predicates import isrecord
from datashape.dispatch import dispatch
import numpy as np
from toolz import keyfilter
from ..numpy_dtype impor... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/h5py.py",
"copies": "9",
"size": "8231",
"license": "bsd-3-clause",
"hash": -6886017480040308000,
"line_mean": 29.3726937269,
"line_max": 78,
"alpha_frac": 0.5713765035,
"autogenerated": false,
"ratio": 3.374743747437474,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import hashlib
import linecache
import sys
import threading
import warnings
from operator import itemgetter
from . import _config
from ._compat import (
PY2, isclass, iteritems, metadata_proxy, ordered_dict, set_closure_cell
)
from .exceptions impo... | {
"repo_name": "larsbergstrom/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/attrs/src/attr/_make.py",
"copies": "41",
"size": "55996",
"license": "mpl-2.0",
"hash": 7017228721665356000,
"line_mean": 32.1533451747,
"line_max": 79,
"alpha_frac": 0.556932638,
"autogenerated": false,
... |
from __future__ import absolute_import, division, print_function
import hashlib
import linecache
import sys
import warnings
from operator import itemgetter
from . import _config
from ._compat import PY2, isclass, iteritems, metadata_proxy, set_closure_cell
from .exceptions import (
DefaultAlreadySetError, Frozen... | {
"repo_name": "nparley/mylatitude",
"path": "lib/attr/_make.py",
"copies": "1",
"size": "49291",
"license": "mit",
"hash": 7896157672638334000,
"line_mean": 31.6214427531,
"line_max": 79,
"alpha_frac": 0.5585603863,
"autogenerated": false,
"ratio": 4.09495721525297,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import hashlib
import linecache
import sys
from operator import itemgetter
from . import _config
from ._compat import PY2, isclass, iteritems, metadata_proxy, set_closure_cell
from .exceptions import (
DefaultAlreadySetError, FrozenInstanceError, N... | {
"repo_name": "anthgur/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/attrs/src/attr/_make.py",
"copies": "12",
"size": "46098",
"license": "mpl-2.0",
"hash": -2407760612302266400,
"line_mean": 32.0451612903,
"line_max": 79,
"alpha_frac": 0.5625189813,
"autogenerated": false,
"ra... |
from __future__ import absolute_import, division, print_function
import hashlib
import linecache
from operator import itemgetter
from . import _config
from ._compat import PY2, iteritems, isclass, iterkeys, metadata_proxy
from .exceptions import (
DefaultAlreadySetError,
FrozenInstanceError,
NotAnAttrsCl... | {
"repo_name": "whitehorse-io/encarnia",
"path": "pyenv/lib/python2.7/site-packages/attr/_make.py",
"copies": "2",
"size": "35624",
"license": "mit",
"hash": -3406400153928851000,
"line_mean": 32.6392823418,
"line_max": 79,
"alpha_frac": 0.5631596676,
"autogenerated": false,
"ratio": 4.08485265451... |
from __future__ import absolute_import, division, print_function
import hashlib
import os.path
import pytest
from appr import SYSTEM
from appr.pack import unpack_kub, ignore
TAR_MD5SUM = {
'darwin': "8ccd8af6ef21af7309839f1c521b6354",
'linux': "8ccd8af6ef21af7309839f1c521b6354",
'windows': '20bf57e5d5de... | {
"repo_name": "app-registry/appr",
"path": "tests/test_packager.py",
"copies": "2",
"size": "2742",
"license": "apache-2.0",
"hash": -4443208371163198500,
"line_mean": 28.8043478261,
"line_max": 95,
"alpha_frac": 0.5882567469,
"autogenerated": false,
"ratio": 2.8682008368200838,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import heapq
import sys
import random
import numpy as np
from .hashfunctions import generate_hashfunctions
class CountMinSketch(object):
""" Basic Count-Min Sketch """
def __init__(self, delta, epsilon, k):
self.nbr_bits = int(np.cei... | {
"repo_name": "Parsely/probably",
"path": "probably/countmin.py",
"copies": "1",
"size": "2109",
"license": "mit",
"hash": 4714278930368098000,
"line_mean": 27.5,
"line_max": 81,
"alpha_frac": 0.5467045993,
"autogenerated": false,
"ratio": 3.457377049180328,
"config_test": false,
"has_no_keyw... |
from __future__ import absolute_import, division, print_function
import hmac
import json
import time
from collections import OrderedDict
from hashlib import sha256
import stripe
from stripe import error, util
class Webhook(object):
DEFAULT_TOLERANCE = 300
@staticmethod
def construct_event(
payl... | {
"repo_name": "stripe/stripe-python",
"path": "stripe/webhook.py",
"copies": "1",
"size": "2720",
"license": "mit",
"hash": 8739211386317530000,
"line_mean": 29.9090909091,
"line_max": 78,
"alpha_frac": 0.5878676471,
"autogenerated": false,
"ratio": 4.51077943615257,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import inspect
from typing import List, Optional, Text
import numpy as np
import tensorflow as tf
from six import string_types
from tensorflow_probability.python import distributions as tfd
from tensorflow_probability.python.distributions import kullbac... | {
"repo_name": "imito/odin",
"path": "odin/bay/distributions/utils.py",
"copies": "1",
"size": "6375",
"license": "mit",
"hash": -799079870453626600,
"line_mean": 35.4285714286,
"line_max": 82,
"alpha_frac": 0.6407843137,
"autogenerated": false,
"ratio": 3.90625,
"config_test": false,
"has_no_... |
from __future__ import absolute_import, division, print_function
import inspect
import datetime
import tempfile
import os
import shutil
import numpy as np
from contextlib import contextmanager
from multiprocessing.pool import ThreadPool
from multipledispatch import Dispatcher
from datashape import dshape, Record
fr... | {
"repo_name": "cpcloud/odo",
"path": "odo/utils.py",
"copies": "1",
"size": "10214",
"license": "bsd-3-clause",
"hash": -1521450950646808300,
"line_mean": 24.2197530864,
"line_max": 80,
"alpha_frac": 0.5618758567,
"autogenerated": false,
"ratio": 3.8427389014296462,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import inspect
import io
import numbers
import os
import re
import string
import tarfile
import types
import warnings
from collections import (Iterable, Iterator, Mapping, OrderedDict, defaultdict,
deque)
from contextlib import c... | {
"repo_name": "imito/odin",
"path": "odin/utils/python_utils.py",
"copies": "1",
"size": "17126",
"license": "mit",
"hash": 8634052138890086000,
"line_mean": 26.8471544715,
"line_max": 79,
"alpha_frac": 0.5446105337,
"autogenerated": false,
"ratio": 3.86329799233025,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import inspect
import json
import sys
import weakref
from collections import namedtuple
from copy import copy
from functools import partial, wraps
from decorator import decorator as decorator
from .compat.contextlib import suppress
from .exceptions imp... | {
"repo_name": "RazerM/bucketcache",
"path": "bucketcache/utilities.py",
"copies": "1",
"size": "8971",
"license": "mit",
"hash": 6003223853698706000,
"line_mean": 31.6218181818,
"line_max": 84,
"alpha_frac": 0.5601382232,
"autogenerated": false,
"ratio": 4.46318407960199,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import inspect
import os
from collections import Mapping
from contextlib import contextmanager
from six import add_metaclass
from six.moves import builtins, cPickle
from odin.backend import (keras_callbacks, keras_helpers, losses, metrics,
... | {
"repo_name": "imito/odin",
"path": "odin/backend/__init__.py",
"copies": "1",
"size": "1264",
"license": "mit",
"hash": -6411751419726807000,
"line_mean": 27.0888888889,
"line_max": 77,
"alpha_frac": 0.6083860759,
"autogenerated": false,
"ratio": 4.299319727891157,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import inspect
import os
from typing import Text, Type, Union
import numpy as np
import tensorflow as tf
import tensorflow_addons as tfa
import torch
from six import string_types
from tensorflow.python import keras
from odin.backend.maths import (momen... | {
"repo_name": "imito/odin",
"path": "odin/backend/alias.py",
"copies": "1",
"size": "6350",
"license": "mit",
"hash": -8952101936298481000,
"line_mean": 28.3981481481,
"line_max": 78,
"alpha_frac": 0.5982677165,
"autogenerated": false,
"ratio": 4.126055880441846,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
import inspect
import os
import re
from abc import ABCMeta, abstractmethod
from collections import Mapping
from enum import Enum
import numpy as np
from six import add_metaclass, string_types
from sklearn.base import BaseEstimator, TransformerMixin
from... | {
"repo_name": "imito/odin",
"path": "odin/preprocessing/base.py",
"copies": "1",
"size": "26283",
"license": "mit",
"hash": -7711228074606720000,
"line_mean": 33.0453367876,
"line_max": 89,
"alpha_frac": 0.5666019861,
"autogenerated": false,
"ratio": 3.835254633007442,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import inspect
import os
import numpy as np
import torch
from six import add_metaclass
from tensorflow.python.keras.utils import conv_utils
from torch import nn
from torch.nn import functional
from odin.backend import (parse_activation, parse_constrain... | {
"repo_name": "imito/odin",
"path": "odin/networks_torch/keras_torch.py",
"copies": "1",
"size": "19521",
"license": "mit",
"hash": -62344879765102130,
"line_mean": 37.0526315789,
"line_max": 80,
"alpha_frac": 0.5001792941,
"autogenerated": false,
"ratio": 4.622543215723419,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import inspect
class BasicRegistrationFactory(object):
"""
Generalized registerable factory type.
Widgets (classes) can be registered with an instance of this class.
Arguments to the factory's `__call__` method are then passed to a func... | {
"repo_name": "Alex-Ian-Hamilton/sunpy",
"path": "sunpy/util/datatype_factory_base.py",
"copies": "1",
"size": "5197",
"license": "bsd-2-clause",
"hash": -3293656992309893000,
"line_mean": 33.417218543,
"line_max": 166,
"alpha_frac": 0.6372907447,
"autogenerated": false,
"ratio": 5.01640926640926... |
from __future__ import absolute_import, division, print_function
import inspect
import numpy as np
try:
import scipy
import scipy.fftpack
except ImportError:
scipy = None
chunk_error = ("Dask array only supports taking an FFT along an axis that \n"
"has a single chunk. An FFT operation w... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/fft.py",
"copies": "1",
"size": "5765",
"license": "bsd-3-clause",
"hash": 8788931798378065000,
"line_mean": 26.0657276995,
"line_max": 80,
"alpha_frac": 0.5396357329,
"autogenerated": false,
"ratio": 3.2811610700056915,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import io
import json
import os.path
from collections import defaultdict
from functools import wraps
from glob import glob
from itertools import chain
def gen_dict(func):
@wraps(func)
def decorated(*args, **kwargs):
return dict(func(*ar... | {
"repo_name": "eisensheng/pytest-catchlog",
"path": "tests/perf/data.py",
"copies": "1",
"size": "2916",
"license": "mit",
"hash": 221081519422123520,
"line_mean": 33.3058823529,
"line_max": 79,
"alpha_frac": 0.6124828532,
"autogenerated": false,
"ratio": 3.5823095823095823,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import io
import logging
import os
import re
from glob import has_magic
# for backwards compat, we export cache things from here too
from .caching import ( # noqa: F401
BaseCache,
BlockCache,
BytesCache,
MMapCache,
ReadAheadCache,
... | {
"repo_name": "intake/filesystem_spec",
"path": "fsspec/core.py",
"copies": "1",
"size": "21270",
"license": "bsd-3-clause",
"hash": 7342794919521575000,
"line_mean": 31.2761760243,
"line_max": 87,
"alpha_frac": 0.5740479549,
"autogenerated": false,
"ratio": 4.148624926857812,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import io
import logging
import os.path
import sys
import pprint
from virtualenv.builders.base import BaseBuilder
from virtualenv._utils import copyfile
from virtualenv._utils import ensure_directory
SITE = b"""# -*- encoding: utf-8 -*-
import os
impor... | {
"repo_name": "ionelmc/virtualenv",
"path": "virtualenv/builders/legacy.py",
"copies": "1",
"size": "14244",
"license": "mit",
"hash": 9073391720060456000,
"line_mean": 37.7065217391,
"line_max": 120,
"alpha_frac": 0.6378124122,
"autogenerated": false,
"ratio": 3.8372844827586206,
"config_test"... |
from __future__ import absolute_import, division, print_function
import io
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
# Version is defined in biostructmap/__init__.py
__version__ = "Undefined"
for line in open('biostructmap/__init__.py'):
... | {
"repo_name": "andrewguy/biostructmap",
"path": "setup.py",
"copies": "1",
"size": "2221",
"license": "mit",
"hash": -8333615552728129000,
"line_mean": 30.2816901408,
"line_max": 100,
"alpha_frac": 0.6240432238,
"autogenerated": false,
"ratio": 3.8030821917808217,
"config_test": true,
"has_no... |
from __future__ import absolute_import, division, print_function
import io
import os.path
import tarfile
import tempfile
from requests.utils import urlparse
import appr.pack as packager
from appr.client import ApprClient
class FormatBase(object):
media_type = NotImplementedError
target = NotImplementedErro... | {
"repo_name": "app-registry/appr",
"path": "appr/formats/base.py",
"copies": "2",
"size": "2847",
"license": "apache-2.0",
"hash": 8255804244835634000,
"line_mean": 28.0510204082,
"line_max": 98,
"alpha_frac": 0.5753424658,
"autogenerated": false,
"ratio": 4.3071104387291985,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import ipaddress
import pytest
from cryptography.hazmat.backends import default_backend
from cryptography.x509 import load_pem_x509_certificate
from service_identity import SubjectAltNameWarning
from service_identity._common import (
DNS_ID,
D... | {
"repo_name": "pyca/service_identity",
"path": "tests/test_cryptography.py",
"copies": "1",
"size": "4109",
"license": "mit",
"hash": 5848667481885968000,
"line_mean": 32.1370967742,
"line_max": 78,
"alpha_frac": 0.6454125091,
"autogenerated": false,
"ratio": 3.7286751361161525,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import itertools
import copy
import numpy as np
from horton import *
from .fields_generate import Fields
from .function_fit import poly_fit,rat_fit, solve
def finitefield_ham(ham, lf, obasis, f_order, field, xyz=None):
"""
This function return b... | {
"repo_name": "fhqgfss/polar",
"path": "polar/data_generate.py",
"copies": "1",
"size": "2615",
"license": "mit",
"hash": 6013025386175439000,
"line_mean": 24.1442307692,
"line_max": 100,
"alpha_frac": 0.6145315488,
"autogenerated": false,
"ratio": 3.48202396804261,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import itertools
import math
from glob import glob
import heapq
from collections import Iterable, Iterator
from toolz import (merge, concat, frequencies, merge_with, take, curry, reduce,
join, reduceby, compose, second, valmap, count, map, partit... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/bag/core.py",
"copies": "1",
"size": "11192",
"license": "bsd-3-clause",
"hash": -499842993702536770,
"line_mean": 31.6297376093,
"line_max": 86,
"alpha_frac": 0.5229628306,
"autogenerated": false,
"ratio": 3.607994842037395,
"config_test": tr... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import distributed
import numpy as np
from time import time
from toolz import concat, take
from .clients import DaskClient, SerialClient
from .stencil import RightHandedSimplexStencil
class Point(object):
__slots__ = ... | {
"repo_name": "eriknw/dask-patternsearch",
"path": "dask_patternsearch/search.py",
"copies": "1",
"size": "15377",
"license": "bsd-3-clause",
"hash": 1635532030601539600,
"line_mean": 41.3608815427,
"line_max": 120,
"alpha_frac": 0.5785914027,
"autogenerated": false,
"ratio": 4.238423373759647,
... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import tempfile
import heapq
import inspect
import gzip
import bz2
import os
from glob import glob
from collections import Iterable, Iterator, defaultdict
from functools import wraps, partial
from toolz import (merge, freq... | {
"repo_name": "esc/dask",
"path": "dask/bag/core.py",
"copies": "1",
"size": "29804",
"license": "bsd-3-clause",
"hash": -2592661406064875000,
"line_mean": 29.7574819401,
"line_max": 100,
"alpha_frac": 0.5401623943,
"autogenerated": false,
"ratio": 3.6817788758492895,
"config_test": true,
"ha... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import tempfile
import inspect
import gzip
import bz2
import os
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
from glob import glob
from collections import Iterable, Iterato... | {
"repo_name": "marianotepper/dask",
"path": "dask/bag/core.py",
"copies": "1",
"size": "30985",
"license": "bsd-3-clause",
"hash": 6790862722747664000,
"line_mean": 29.6175889328,
"line_max": 100,
"alpha_frac": 0.5421332903,
"autogenerated": false,
"ratio": 3.6720786916330885,
"config_test": tr... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import tempfile
import inspect
import gzip
import zlib
import bz2
import os
import codecs
from sys import getdefaultencoding
from fnmatch import fnmatchcase
from glob import glob
from collections import Iterable, Iterator, de... | {
"repo_name": "vikhyat/dask",
"path": "dask/bag/core.py",
"copies": "1",
"size": "40406",
"license": "bsd-3-clause",
"hash": -7639128239195336000,
"line_mean": 31.2216905901,
"line_max": 103,
"alpha_frac": 0.558803148,
"autogenerated": false,
"ratio": 3.692406104358951,
"config_test": true,
"... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import tempfile
import inspect
import gzip
import zlib
import bz2
import os
from fnmatch import fnmatchcase
from glob import glob
from collections import Iterable, Iterator, defaultdict
from functools import wraps, partial
f... | {
"repo_name": "jayhetee/dask",
"path": "dask/bag/core.py",
"copies": "1",
"size": "37332",
"license": "bsd-3-clause",
"hash": -7217649217156482000,
"line_mean": 31.0446351931,
"line_max": 109,
"alpha_frac": 0.5524215151,
"autogenerated": false,
"ratio": 3.6736862822279077,
"config_test": true,
... |
from __future__ import absolute_import, division, print_function
import itertools
import numpy as np
from dask_patternsearch.search import RightHandedSimplexStencil
from toolz import take
import gizeh
import moviepy.editor as mpy
# DB16 - DawnBringer's 16 Col Palette v1.0
# http://pixeljoint.com/forum/forum_posts.as... | {
"repo_name": "eriknw/dask-patternsearch",
"path": "tools/stencilgif.py",
"copies": "1",
"size": "3471",
"license": "bsd-3-clause",
"hash": 3038349069889144000,
"line_mean": 30.8440366972,
"line_max": 105,
"alpha_frac": 0.577355229,
"autogenerated": false,
"ratio": 3.0287958115183247,
"config_t... |
from __future__ import absolute_import, division, print_function
import itertools
from datashape import DataShape, iscollection
from toolz import curry, concat
from .collections import Shift
from .core import Node
from .expressions import Field, Map, ElemWise, symbol, shape, Coerce
from .arithmetic import maxshape, ... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/expr/broadcast.py",
"copies": "3",
"size": "4761",
"license": "bsd-3-clause",
"hash": -5249906757919316000,
"line_mean": 28.3888888889,
"line_max": 97,
"alpha_frac": 0.604494854,
"autogenerated": false,
"ratio": 3.6821345707656614,
"config_test"... |
from __future__ import absolute_import, division, print_function
import itertools
from llvm.core import Constant
from .llvm_array import (auto_const_intp,
intp_type,
store_at, load_at, get_shape_ptr, get_data_ptr,
get_strides_ptr, isinteger, ... | {
"repo_name": "aaronmartin0303/blaze",
"path": "blaze/compute/llgetitem.py",
"copies": "2",
"size": "11489",
"license": "bsd-3-clause",
"hash": -9084881157025577000,
"line_mean": 29.2342105263,
"line_max": 80,
"alpha_frac": 0.598833667,
"autogenerated": false,
"ratio": 3.35739333722969,
"config... |
from __future__ import absolute_import, division, print_function
import itertools
from toolz import curry
from datashape import DataShape, iscollection
from .collections import Shift
from .expressions import Field, Map, ElemWise, symbol, shape, Coerce
from .arithmetic import maxshape, UnaryOp, BinOp
from .datetime ... | {
"repo_name": "ChinaQuants/blaze",
"path": "blaze/expr/broadcast.py",
"copies": "1",
"size": "4361",
"license": "bsd-3-clause",
"hash": -1183051264635120400,
"line_mean": 27.5032679739,
"line_max": 97,
"alpha_frac": 0.5941297867,
"autogenerated": false,
"ratio": 3.6432748538011697,
"config_test... |
from __future__ import absolute_import, division, print_function
import itertools
from toolz import curry
from datashape import DataShape, iscollection
from .expressions import Field, Map, ElemWise, symbol, shape
from .arithmetic import maxshape, Arithmetic, UnaryOp
from .math import Math
from .datetime import Date... | {
"repo_name": "alexmojaki/blaze",
"path": "blaze/expr/broadcast.py",
"copies": "5",
"size": "4159",
"license": "bsd-3-clause",
"hash": -9201309584324724000,
"line_mean": 27.4863013699,
"line_max": 97,
"alpha_frac": 0.599903823,
"autogenerated": false,
"ratio": 3.6259808195292065,
"config_test":... |
from __future__ import absolute_import, division, print_function
import itertools
import numpy as np
_counter = itertools.count()
def parameterized(names, params):
def decorator(func):
func.param_names = names
func.params = params
return func
return decorator
def requires_dask():
... | {
"repo_name": "shoyer/xray",
"path": "asv_bench/benchmarks/__init__.py",
"copies": "1",
"size": "1128",
"license": "apache-2.0",
"hash": 5933893693757480000,
"line_mean": 22.5,
"line_max": 66,
"alpha_frac": 0.6320921986,
"autogenerated": false,
"ratio": 3.4922600619195046,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import json, ijson
from itertools import chain
def _build_value(data):
''' Build a value (number, array, whatever) from an ijson stream.
'''
for (prefix, event, value) in data:
if event in ('string', 'null', 'boolean'):
r... | {
"repo_name": "openaddresses/machine",
"path": "openaddr/sample.py",
"copies": "1",
"size": "3167",
"license": "isc",
"hash": -5912728485392540000,
"line_mean": 27.7909090909,
"line_max": 88,
"alpha_frac": 0.5402589201,
"autogenerated": false,
"ratio": 4.167105263157895,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import json
from abc import ABCMeta, abstractmethod
from functools import partial
from tempfile import TemporaryFile
import six
from represent import autorepr
from .compat.contextlib import suppress
__all__ = (
'DefaultKeyMaker',
'StreamingDef... | {
"repo_name": "RazerM/bucketcache",
"path": "bucketcache/keymakers.py",
"copies": "1",
"size": "2836",
"license": "mit",
"hash": -2068663004951174100,
"line_mean": 26.5339805825,
"line_max": 80,
"alpha_frac": 0.6096614951,
"autogenerated": false,
"ratio": 4.283987915407855,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import json
from base64 import b64decode
from flask import Blueprint, current_app, jsonify, request
import appr.api.impl.registry
from appr.api.app import getvalues, repo_name
from appr.exception import (
ApprException, ChannelNotFound, InvalidPara... | {
"repo_name": "app-registry/appr",
"path": "appr/api/registry.py",
"copies": "2",
"size": "9277",
"license": "apache-2.0",
"hash": 3209186167064203000,
"line_mean": 40.0486725664,
"line_max": 112,
"alpha_frac": 0.7001185728,
"autogenerated": false,
"ratio": 3.592951200619675,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import json
from base64 import b64encode
import pytest
import requests
import requests_mock
import appr
from appr.client import DEFAULT_PREFIX, DEFAULT_REGISTRY, ApprClient
@pytest.fixture()
def channels_data():
return {'dev': {'current': '1.0.0-... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "tests/test_registry.py",
"copies": "2",
"size": "8690",
"license": "apache-2.0",
"hash": -3619377675580104000,
"line_mean": 37.281938326,
"line_max": 132,
"alpha_frac": 0.6230149597,
"autogenerated": false,
"ratio": 3.139450867052023,
"config... |
from __future__ import absolute_import, division, print_function
import json
from blaze.catalog.blaze_url import split_array_base
import dynd
from dynd import nd, ndt
from dynd.nd import as_numpy
from blaze import array
class compute_session:
def __init__(self, base_url, array_name):
session_name, root_di... | {
"repo_name": "markflorisson/blaze-core",
"path": "blaze/io/server/compute_session.py",
"copies": "7",
"size": "7979",
"license": "bsd-3-clause",
"hash": 3726957083972581000,
"line_mean": 37.3605769231,
"line_max": 75,
"alpha_frac": 0.5354054393,
"autogenerated": false,
"ratio": 3.850868725868725... |
from __future__ import absolute_import, division, print_function
import json
from cStringIO import StringIO
import urllib
import bottle
from dossier.fc import FeatureCollection
import dossier.web.routes as routes
from dossier.web.tests import config_local, kvl, store, label_store # noqa
def rot14(s):
# Use `r... | {
"repo_name": "dossier/dossier.web",
"path": "dossier/web/tests/test_routes.py",
"copies": "1",
"size": "1347",
"license": "mit",
"hash": -4067338607863798300,
"line_mean": 24.9038461538,
"line_max": 78,
"alpha_frac": 0.6384558278,
"autogenerated": false,
"ratio": 2.9866962305986697,
"config_te... |
from __future__ import absolute_import, division, print_function
import json
from csv import DictReader
from io import StringIO
from base64 import b64decode
from operator import itemgetter
from os.path import join, dirname, splitext, relpath
from dateutil.parser import parse as parse_datetime
from urllib.parse import ... | {
"repo_name": "openaddresses/machine",
"path": "openaddr/summarize.py",
"copies": "1",
"size": "5331",
"license": "isc",
"hash": 5817250398828652000,
"line_mean": 27.8162162162,
"line_max": 85,
"alpha_frac": 0.6096417183,
"autogenerated": false,
"ratio": 3.689273356401384,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import json
from toolz.curried import map, take, pipe, pluck, get, concat, filter
from collections import Iterator, Iterable
import os
from contextlib import contextmanager
from datashape import discover, var, dshape, Record, DataShape
from datashape im... | {
"repo_name": "mrocklin/into",
"path": "into/backends/json.py",
"copies": "1",
"size": "7011",
"license": "bsd-3-clause",
"hash": 6566293374856239000,
"line_mean": 24.4945454545,
"line_max": 78,
"alpha_frac": 0.6083297675,
"autogenerated": false,
"ratio": 3.4435166994106092,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import json
import logging
import os
import os.path
from collections import OrderedDict
import jsonpatch
import yaml
from appr.display import print_deploy_result
from appr.formats.appr.kub_base import KubBase
from appr.platforms.kubernetes import ANNOT... | {
"repo_name": "app-registry/appr",
"path": "appr/formats/appr/kub.py",
"copies": "2",
"size": "7520",
"license": "apache-2.0",
"hash": 53601803445983910,
"line_mean": 36.9797979798,
"line_max": 98,
"alpha_frac": 0.5199468085,
"autogenerated": false,
"ratio": 4.460260972716489,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import json
import logging
import os
import os.path
import re
import jinja2
import yaml
import appr.template_filters as filters
from appr.utils import convert_utf8
logger = logging.getLogger(__name__)
with open(os.path.join(os.path.dirname(__file__), ... | {
"repo_name": "app-registry/appr",
"path": "appr/render_jsonnet.py",
"copies": "2",
"size": "4262",
"license": "apache-2.0",
"hash": -7556183672561099000,
"line_mean": 37.7454545455,
"line_max": 92,
"alpha_frac": 0.61238855,
"autogenerated": false,
"ratio": 3.7222707423580785,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import json
import os
import sys
import shutil
import requests
import logging
import tempfile
import zipfile
from subprocess import Popen, PIPE
import warnings
from .exceptions import CondaException
from .utils import shell_out
mini_file = "Miniconda-l... | {
"repo_name": "blaze/knit",
"path": "knit/env.py",
"copies": "2",
"size": "8326",
"license": "bsd-3-clause",
"hash": -689858093141764200,
"line_mean": 31.0230769231,
"line_max": 80,
"alpha_frac": 0.5679798222,
"autogenerated": false,
"ratio": 4.004810004810005,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division, print_function
import json
import os
from appr.exception import Forbidden, PackageAlreadyExists
from appr.models.blob_base import BlobBase
from appr.models.channel_base import ChannelBase
from appr.models.package_base import PackageBase
class ApprDB(object):
Cha... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/models/db_base.py",
"copies": "2",
"size": "2810",
"license": "apache-2.0",
"hash": -5053799959045351000,
"line_mean": 36.4666666667,
"line_max": 119,
"alpha_frac": 0.5544483986,
"autogenerated": false,
"ratio": 4.108187134502924,
"confi... |
from __future__ import absolute_import, division, print_function
import json
import os
from ..qt.widgets import ScatterWidget, HistogramWidget
from ..core import Subset
def save_page(page, page_number, label, subset):
""" Convert a tab of a glue session into a D3PO page
:param page: Tuple of data viewers t... | {
"repo_name": "JudoWill/glue",
"path": "glue/plugins/export_d3po.py",
"copies": "1",
"size": "8773",
"license": "bsd-3-clause",
"hash": 1987512367408500500,
"line_mean": 28.0496688742,
"line_max": 121,
"alpha_frac": 0.6130172119,
"autogenerated": false,
"ratio": 3.6938947368421053,
"config_test... |
from __future__ import absolute_import, division, print_function
import json
import os.path as op
import six
import numpy as np
import scipy.signal as sig
import scipy.io.wavfile as sciwav
MAXINT16 = 2**15 - 1
FS = 44100
COEFF_DIR = op.join(op.dirname(op.abspath(__file__)), 'coeffs')
def normalize(data, maxamp=1):
... | {
"repo_name": "nicktimko/pots-sim",
"path": "potsim/filters.py",
"copies": "1",
"size": "4324",
"license": "mit",
"hash": -9061933648046750000,
"line_mean": 27.2614379085,
"line_max": 79,
"alpha_frac": 0.5811748381,
"autogenerated": false,
"ratio": 3.5794701986754967,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
import json
import random
import numpy as np
from stt_utils import calc_feat_dim, spectrogram_from_file
from config_util import generate_file_path
from log_util import LogUtil
from label_util import LabelUtil
from stt_bi_graphemes_util import generate_... | {
"repo_name": "arikpoz/mxnet",
"path": "example/speech_recognition/stt_datagenerator.py",
"copies": "11",
"size": "10656",
"license": "apache-2.0",
"hash": -3992392670688260000,
"line_mean": 44.9310344828,
"line_max": 112,
"alpha_frac": 0.5914039039,
"autogenerated": false,
"ratio": 3.91908789996... |
from __future__ import absolute_import, division, print_function
import json
import tarfile
from os.path import basename
def dist_fn(fn):
if fn.endswith('.tar'):
return fn[:-4]
elif fn.endswith('.tar.bz2'):
return fn[:-8]
else:
raise Exception('did not expect filename: %r' % fn)
... | {
"repo_name": "rmcgibbo/conda-build",
"path": "conda_build/tarcheck.py",
"copies": "8",
"size": "1943",
"license": "bsd-3-clause",
"hash": 429311510727633800,
"line_mean": 30.8524590164,
"line_max": 87,
"alpha_frac": 0.5409161091,
"autogenerated": false,
"ratio": 3.679924242424242,
"config_test... |
from __future__ import absolute_import, division, print_function
import json
import time
from workflows.services.common_service import CommonService
class SampleConsumer(CommonService):
'''An example service building on top of the workflow.services architecture,
demonstrating how this architecture can be used... | {
"repo_name": "xia2/workflows",
"path": "workflows/services/sample_consumer.py",
"copies": "1",
"size": "1401",
"license": "bsd-3-clause",
"hash": 9056505030460099000,
"line_mean": 35.8684210526,
"line_max": 86,
"alpha_frac": 0.6174161313,
"autogenerated": false,
"ratio": 4.0964912280701755,
"c... |
from __future__ import absolute_import, division, print_function
import json
import unittest
from io import BytesIO
from ..sample import sample_geojson
class TestSample (unittest.TestCase):
def test_sample(self):
geojson_input = b'''{ "type": "FeatureCollection", "features": [
... | {
"repo_name": "slibby/machine",
"path": "openaddr/tests/sample.py",
"copies": "1",
"size": "2980",
"license": "isc",
"hash": -8177020759239320000,
"line_mean": 57.431372549,
"line_max": 271,
"alpha_frac": 0.5929530201,
"autogenerated": false,
"ratio": 3.7064676616915424,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import json
from blaze.catalog.blaze_url import split_array_base
import dynd
from dynd import nd
from dynd.nd import as_numpy
from blaze import array
class compute_session:
def __init__(self, base_url, array_name):
session_name, root_dir =... | {
"repo_name": "xsixing/blaze",
"path": "blaze/io/server/compute_session.py",
"copies": "3",
"size": "7976",
"license": "bsd-3-clause",
"hash": 8057779961791861000,
"line_mean": 36.980952381,
"line_max": 75,
"alpha_frac": 0.5352306921,
"autogenerated": false,
"ratio": 3.8531400966183575,
"config... |
from __future__ import (absolute_import, division, print_function)
import json
from twisted.internet.protocol import Factory, Protocol, connectionDone
from twisted.internet import task, threads, defer
from danex import _dane, _tls
class DaneDoctorProtocol(Protocol):
def dataReceived(self, data):
domai... | {
"repo_name": "hynek/tnw",
"path": "dane_doctor/protocol.py",
"copies": "1",
"size": "1597",
"license": "mit",
"hash": -3885106744660154400,
"line_mean": 28.5740740741,
"line_max": 77,
"alpha_frac": 0.5272385723,
"autogenerated": false,
"ratio": 4.4484679665738165,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
import json
import pytest
import stripe
class TestListObject(object):
@pytest.fixture
def list_object(self):
return stripe.ListObject.construct_from(
{"object": "list", "url": "/my/path", "data": ["foo"]}, "mykey"
... | {
"repo_name": "stripe/stripe-python",
"path": "tests/api_resources/test_list_object.py",
"copies": "1",
"size": "10295",
"license": "mit",
"hash": 4120485119183714000,
"line_mean": 29.0145772595,
"line_max": 79,
"alpha_frac": 0.4842156387,
"autogenerated": false,
"ratio": 3.7974917004795277,
"c... |
from __future__ import absolute_import, division, print_function
import json
import stripe
from stripe import six, util
from stripe.stripe_response import StripeResponse, StripeStreamResponse
class RequestMock(object):
def __init__(self, mocker):
self._mocker = mocker
self._real_request = strip... | {
"repo_name": "stripe/stripe-python",
"path": "tests/request_mock.py",
"copies": "1",
"size": "7167",
"license": "mit",
"hash": 9179226620747470000,
"line_mean": 34.835,
"line_max": 79,
"alpha_frac": 0.5826705735,
"autogenerated": false,
"ratio": 4.223335297583971,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
import json
class ManifestError(Exception):
"""Something is wrong with the manifest format."""
pass
def _make_property(name):
@property
def getter(self):
return self._data.get(name)
return getter
_required_keys = {'qss_f... | {
"repo_name": "zyantific/IDASkins",
"path": "plugins/idaskins/thememanifest.py",
"copies": "1",
"size": "1247",
"license": "mit",
"hash": -1688466534349475800,
"line_mean": 25.5319148936,
"line_max": 67,
"alpha_frac": 0.5942261427,
"autogenerated": false,
"ratio": 3.909090909090909,
"config_tes... |
from __future__ import absolute_import, division, print_function
import linecache
import logging
import os.path
import sys
def get_exception_source():
'''Returns full file path, file name, line number, function name, and line contents
causing the last exception.'''
_, _, tb = sys.exc_info()
while tb.tb_nex... | {
"repo_name": "xia2/workflows",
"path": "workflows/logging/__init__.py",
"copies": "1",
"size": "2221",
"license": "bsd-3-clause",
"hash": 7995685854873166000,
"line_mean": 33.703125,
"line_max": 85,
"alpha_frac": 0.7019360648,
"autogenerated": false,
"ratio": 4.052919708029197,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import linecache
import sys
import warnings
import pytest
from characteristic import (
Attribute,
NOTHING,
PY26,
_attrs_to_script,
_ensure_attributes,
attributes,
immutable,
with_cmp,
with_init,
with_repr,
)
PY2... | {
"repo_name": "hynek/characteristic",
"path": "test_characteristic.py",
"copies": "1",
"size": "23985",
"license": "mit",
"hash": 5225856543588228000,
"line_mean": 26.3177676538,
"line_max": 79,
"alpha_frac": 0.5089430894,
"autogenerated": false,
"ratio": 4.0216297786720325,
"config_test": true... |
from __future__ import absolute_import, division, print_function
import locale
import re
import os
import sys
import stat
from glob import glob
from os.path import (basename, dirname, join, splitext, isdir, isfile, exists,
islink, realpath, relpath)
try:
from os import readlink
except ImportEr... | {
"repo_name": "sandhujasmine/conda-build",
"path": "conda_build/post.py",
"copies": "1",
"size": "15124",
"license": "bsd-3-clause",
"hash": 84291779202404860,
"line_mean": 35.798053528,
"line_max": 96,
"alpha_frac": 0.5717402803,
"autogenerated": false,
"ratio": 3.6968956245416766,
"config_tes... |
from __future__ import absolute_import, division, print_function
import logging
from abc import ABCMeta, abstractmethod
from glue.utils import CallbackMixin
from glue.core.data_factories import load_data
MAX_UNDO = 50
"""
The classes in this module allow user actions to be stored as commands,
which can be undone/re... | {
"repo_name": "saimn/glue",
"path": "glue/core/command.py",
"copies": "2",
"size": "7773",
"license": "bsd-3-clause",
"hash": -8640250691673295000,
"line_mean": 23.7547770701,
"line_max": 83,
"alpha_frac": 0.6146918822,
"autogenerated": false,
"ratio": 4.059007832898172,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import logging
from abc import ABCMeta, abstractproperty, abstractmethod
import numpy as np
from matplotlib.cm import gray
from glue.external import six
from glue.core.exceptions import IncompatibleAttribute
from glue.core.layer_artist import Matplotli... | {
"repo_name": "saimn/glue",
"path": "glue/viewers/image/layer_artist.py",
"copies": "2",
"size": "11664",
"license": "bsd-3-clause",
"hash": 1057277214242277200,
"line_mean": 31.7640449438,
"line_max": 106,
"alpha_frac": 0.5568415638,
"autogenerated": false,
"ratio": 4.038781163434903,
"config_... |
from __future__ import absolute_import, division, print_function
import logging
from contextlib import contextmanager
from weakref import WeakKeyDictionary
from inspect import getmro
from collections import defaultdict
from glue.core.exceptions import InvalidSubscriber, InvalidMessage
from glue.core.message import Me... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/hub.py",
"copies": "2",
"size": "8577",
"license": "bsd-3-clause",
"hash": 1125380766443342500,
"line_mean": 33.4457831325,
"line_max": 79,
"alpha_frac": 0.6083712254,
"autogenerated": false,
"ratio": 4.870528109028961,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import logging
from contextlib import contextmanager
import string
from itertools import count
import numpy as np
import pandas as pd
from ..external.six.moves import reduce
from ..external.six import string_types
__all__ = ["identity", "relim", "spl... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/util.py",
"copies": "1",
"size": "10109",
"license": "bsd-3-clause",
"hash": 7090319416678223000,
"line_mean": 27.9656160458,
"line_max": 82,
"alpha_frac": 0.607280641,
"autogenerated": false,
"ratio": 3.8716966679433167,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import logging
from datetime import datetime
from errno import ENOTEMPTY
from io import BytesIO
from fsspec import AbstractFileSystem
logger = logging.Logger("fsspec.memoryfs")
class MemoryFileSystem(AbstractFileSystem):
"""A filesystem based on ... | {
"repo_name": "intake/filesystem_spec",
"path": "fsspec/implementations/memory.py",
"copies": "1",
"size": "8484",
"license": "bsd-3-clause",
"hash": 8873974750892605000,
"line_mean": 32.2705882353,
"line_max": 86,
"alpha_frac": 0.4909240924,
"autogenerated": false,
"ratio": 4.404984423676012,
... |
from __future__ import absolute_import, division, print_function
import logging
from functools import wraps
import numpy as np
from ..external.modest_image import extract_matched_slices
from ..core.exceptions import IncompatibleAttribute
from ..core.data import Data
from ..core.subset import Subset, RoiSubsetState
f... | {
"repo_name": "JudoWill/glue",
"path": "glue/clients/image_client.py",
"copies": "1",
"size": "26469",
"license": "bsd-3-clause",
"hash": -8795166618981454000,
"line_mean": 29.8856476079,
"line_max": 82,
"alpha_frac": 0.558464619,
"autogenerated": false,
"ratio": 3.9850948509485096,
"config_tes... |
from __future__ import absolute_import, division, print_function
import logging
from functools import wraps
import numpy as np
from glue.external.modest_image import extract_matched_slices
from glue.core.edit_subset_mode import EditSubsetMode
from glue.core.callback_property import (
callback_property, CallbackP... | {
"repo_name": "saimn/glue",
"path": "glue/viewers/image/client.py",
"copies": "1",
"size": "28957",
"license": "bsd-3-clause",
"hash": 6251882682900647000,
"line_mean": 30.1031149302,
"line_max": 95,
"alpha_frac": 0.5601063646,
"autogenerated": false,
"ratio": 3.9924169309251343,
"config_test":... |
from __future__ import absolute_import, division, print_function
import logging
from functools import wraps
import numpy as np
# We avoid importing matplotlib up here otherwise Matplotlib and therefore Qt
# get imported as soon as glue.utils is imported.
from glue.external.axescache import AxesCache
from glue.utils... | {
"repo_name": "saimn/glue",
"path": "glue/utils/matplotlib.py",
"copies": "2",
"size": "7665",
"license": "bsd-3-clause",
"hash": -1435514187026761500,
"line_mean": 26.0848056537,
"line_max": 79,
"alpha_frac": 0.6275277234,
"autogenerated": false,
"ratio": 3.69041887337506,
"config_test": false... |
from __future__ import absolute_import, division, print_function
import logging
from inspect import getmro
from collections import defaultdict
from glue.core.exceptions import InvalidSubscriber, InvalidMessage
from glue.core.message import Message
__all__ = ['Hub', 'HubListener']
class Hub(object):
"""The hu... | {
"repo_name": "saimn/glue",
"path": "glue/core/hub.py",
"copies": "2",
"size": "7787",
"license": "bsd-3-clause",
"hash": -449945022321079550,
"line_mean": 33.9192825112,
"line_max": 79,
"alpha_frac": 0.6110183639,
"autogenerated": false,
"ratio": 4.833643699565488,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import logging
from inspect import getmro
from collections import defaultdict
from .message import Message
from .exceptions import InvalidSubscriber, InvalidMessage
__all__ = ['Hub', 'HubListener']
class Hub(object):
"""The hub manages communica... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/hub.py",
"copies": "1",
"size": "7741",
"license": "bsd-3-clause",
"hash": 4333110494248442000,
"line_mean": 33.8693693694,
"line_max": 79,
"alpha_frac": 0.6094819791,
"autogenerated": false,
"ratio": 4.8654934003771215,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import logging
from itertools import count
from functools import partial
import numpy as np
import pandas as pd
from matplotlib.ticker import AutoLocator, MaxNLocator, LogLocator
from matplotlib.ticker import (LogFormatterMathtext, ScalarFormatter,
... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/util.py",
"copies": "1",
"size": "11445",
"license": "bsd-3-clause",
"hash": -3899604487544298000,
"line_mean": 29.6016042781,
"line_max": 87,
"alpha_frac": 0.5994757536,
"autogenerated": false,
"ratio": 3.729227761485826,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import logging
from time import time
import numpy as np
from ginga.misc import Bunch
from ginga.util import wcsmod
from ginga import AstroImage, BaseImage
from glue.core.util import split_component_view
from glue.core.exceptions import IncompatibleAttr... | {
"repo_name": "saimn/glue",
"path": "glue/plugins/ginga_viewer/qt/client.py",
"copies": "1",
"size": "13126",
"license": "bsd-3-clause",
"hash": 1973570190032169700,
"line_mean": 28.8997722096,
"line_max": 111,
"alpha_frac": 0.5815937833,
"autogenerated": false,
"ratio": 3.803535207186323,
"con... |
from __future__ import absolute_import, division, print_function
import logging
import docker.errors
from urllib3.exceptions import TimeoutError
from requests.exceptions import Timeout
from ..decorators import retry
from ..exceptions import ClipperException
logger = logging.getLogger(__name__)
def create_network(d... | {
"repo_name": "ucbrise/clipper",
"path": "clipper_admin/clipper_admin/docker/docker_api_utils.py",
"copies": "1",
"size": "2242",
"license": "apache-2.0",
"hash": -823434625730076000,
"line_mean": 33.4923076923,
"line_max": 80,
"alpha_frac": 0.6601248885,
"autogenerated": false,
"ratio": 4.025134... |
from __future__ import absolute_import, division, print_function
import logging
import multiprocessing
import threading
import time
import workflows
import workflows.frontend.utilization
import workflows.services
import workflows.transport
import workflows.util
from workflows.services.common_service import CommonServ... | {
"repo_name": "xia2/workflows",
"path": "workflows/frontend/__init__.py",
"copies": "1",
"size": "16220",
"license": "bsd-3-clause",
"hash": 1695671499647257000,
"line_mean": 40.0632911392,
"line_max": 101,
"alpha_frac": 0.6411837238,
"autogenerated": false,
"ratio": 4.43048347446053,
"config_t... |
from __future__ import absolute_import, division, print_function
import logging
import numpy
import xarray
from itertools import groupby
from collections import defaultdict, OrderedDict
from ..model import GeoBox
from ..utils import check_intersect
from .query import Query, query_group_by
from .core import Datacube, ... | {
"repo_name": "ceos-seo/Data_Cube_v2",
"path": "agdc-v2/datacube/api/grid_workflow.py",
"copies": "1",
"size": "9765",
"license": "apache-2.0",
"hash": -4582628576569607000,
"line_mean": 38.6951219512,
"line_max": 118,
"alpha_frac": 0.5819764465,
"autogenerated": false,
"ratio": 4.203616013775290... |
from __future__ import absolute_import, division, print_function
import logging
import operator
import numbers
import numpy as np
from .util import join_component_view
from .subset import InequalitySubsetState
from .contracts import contract, ContractsMeta
from ..external.six import add_metaclass
__all__ = ['Compon... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/component_link.py",
"copies": "1",
"size": "12236",
"license": "bsd-3-clause",
"hash": -8295404549606741000,
"line_mean": 32.8011049724,
"line_max": 79,
"alpha_frac": 0.6052631579,
"autogenerated": false,
"ratio": 4.0637661906343405,
"config_tes... |
from __future__ import absolute_import, division, print_function
import logging
import operator
import warnings
import numpy as np
import pandas as pd
from glue.core.subset import (RoiSubsetState, RangeSubsetState,
CategoricalROISubsetState, AndState,
Categ... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/component.py",
"copies": "2",
"size": "23534",
"license": "bsd-3-clause",
"hash": -7402596534527506000,
"line_mean": 32.8618705036,
"line_max": 90,
"alpha_frac": 0.5583411235,
"autogenerated": false,
"ratio": 4.666666666666667,
"config_te... |
from __future__ import absolute_import, division, print_function
import logging
import os
import re
import requests
import socket
from subprocess import STDOUT
try:
from subprocess import SubprocessError
except ImportError: # pragma: no cover
# py2
from subprocess import CalledProcessError as SubprocessEr... | {
"repo_name": "blaze/knit",
"path": "knit/yarn_api.py",
"copies": "2",
"size": "12916",
"license": "bsd-3-clause",
"hash": -7954509776072803000,
"line_mean": 34.2896174863,
"line_max": 80,
"alpha_frac": 0.5252400124,
"autogenerated": false,
"ratio": 4.278237827095064,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
import logging
import os
import sys
from conda_build.conda_interface import ArgumentParser
from conda_build import api
from conda_build.index import MAX_THREADS_DEFAULT
from conda_build.utils import DEFAULT_SUBDIRS
logging.basicConfig(level=logging.IN... | {
"repo_name": "pelson/conda-build",
"path": "conda_build/cli/main_index.py",
"copies": "2",
"size": "2870",
"license": "bsd-3-clause",
"hash": 8094977412411163000,
"line_mean": 30.5384615385,
"line_max": 115,
"alpha_frac": 0.6229965157,
"autogenerated": false,
"ratio": 3.953168044077135,
"confi... |
from __future__ import absolute_import, division, print_function
import logging
import os
import tensorflow as tf
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model import (signature_constants, tag_constants)
def get_optimizer_by_name(optimizer_name, learning_... | {
"repo_name": "tobegit3hub/deep_recommend_system",
"path": "util.py",
"copies": "1",
"size": "3354",
"license": "apache-2.0",
"hash": 8266081195671842000,
"line_mean": 30.641509434,
"line_max": 78,
"alpha_frac": 0.675313059,
"autogenerated": false,
"ratio": 3.9182242990654204,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import logging
import os
import time
import uuid
from os import environ as env
from threading import Thread
from time import sleep
from mentos.exceptions import ExecutorException
from mentos.subscription import Event, Subscription
from mentos.utils impo... | {
"repo_name": "Arttii/malefico",
"path": "mentos/executor.py",
"copies": "2",
"size": "8173",
"license": "apache-2.0",
"hash": 8053147359128773000,
"line_mean": 35.3244444444,
"line_max": 80,
"alpha_frac": 0.581793711,
"autogenerated": false,
"ratio": 4.008337420304071,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import logging
import os
import pytest
import py.path
logger = logging.getLogger(__name__)
@pytest.fixture(scope='session', autouse=True)
def aws_credentials():
# Handle change in https://github.com/spulec/moto/issues/1924
# Ensure AWS SDK fi... | {
"repo_name": "remind101/stacker",
"path": "stacker/tests/conftest.py",
"copies": "1",
"size": "1230",
"license": "bsd-2-clause",
"hash": -6445209468204074000,
"line_mean": 26.9545454545,
"line_max": 74,
"alpha_frac": 0.6203252033,
"autogenerated": false,
"ratio": 3.6070381231671553,
"config_te... |
from __future__ import absolute_import, division, print_function
import logging
import pywt
import numpy as np
from TotalActivation.filters.filter_boundary import filter_boundary_normal, filter_boundary_transpose
# from TotalActivation.process.utils import mad
logging.basicConfig(format='%(levelname)s:%(message)s'... | {
"repo_name": "mfalkiewicz/pyTotalActivation",
"path": "TotalActivation/process/temporal.py",
"copies": "2",
"size": "4292",
"license": "mit",
"hash": -7822646072191780000,
"line_mean": 33.6129032258,
"line_max": 115,
"alpha_frac": 0.5775862069,
"autogenerated": false,
"ratio": 2.9157608695652173... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.