text stringlengths 0 1.05M | meta dict |
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from __future__ import absolute_import, division, print_function
import platform
import datetime
__all__ = ['get_sys_dict', 'system_info']
def get_sys_dict():
"""
Test which packages are installed on system.
Returns
-------
sys_prop : `dict`
A dictionary containing the programs and ve... | {
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from __future__ import absolute_import, division, print_function
import platform
import sys
from threading import Thread, Lock
import json
import warnings
import time
import stripe
import pytest
if platform.python_implementation() == "PyPy":
pytest.skip("skip integration tests with PyPy", allow_module_level=True... | {
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from __future__ import absolute_import, division, print_function
import platform
import sys
import types
import warnings
PY2 = sys.version_info[0] == 2
PYPY = platform.python_implementation() == "PyPy"
HAS_F_STRINGS = (
sys.version_info[:2] >= (3, 7)
if not PYPY
else sys.version_info[:2] >= (3, 6)
)
PY31... | {
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"path": "src/attr/_compat.py",
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"ha... |
from __future__ import absolute_import, division, print_function
import pymongo
from contextlib import contextmanager
import datashape
from into import discover, convert, append, resource, dshape
from into.backends.mongo import *
from toolz import pluck
from copy import deepcopy
from bson.objectid import ObjectId
co... | {
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"path": "into/backends/tests/test_mongo.py",
"copies": "1",
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"autogenerated": false,
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"config_test... |
from __future__ import absolute_import, division, print_function
import pymongo
from pymongo.collection import Collection
from collections import Iterator
from datashape import discover, DataShape, Record, var
from datashape.predicates import isdimension
from datashape.dispatch import dispatch
from toolz import take, ... | {
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... |
from __future__ import absolute_import, division, print_function
import pymongo
from pymongo.collection import Collection
from collections import Iterator
from datashape import discover
from datashape.predicates import isdimension
from datashape.dispatch import dispatch
from toolz import take, partition_all, concat, p... | {
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"path": "into/backends/mongo.py",
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"autogenerated": false,
"ratio": 3.56,
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"has_no_... |
from __future__ import absolute_import, division, print_function
import pytest
from drms.utils import (
_pd_to_datetime_coerce, _pd_to_numeric_coerce,
_split_arg, _extract_series_name)
# test_pd_to_datetime
# test_pd_to_numeric
@pytest.mark.parametrize('in_obj, expected', [
('', []),
('asd', ['asd'... | {
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"path": "drms/tests/test_utils.py",
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"config_test": true,
"has_no_keywo... |
from __future__ import absolute_import, division, print_function
import pytest
from mock import MagicMock
from glue.core import ComponentID
from glue.config import link_function, link_helper
from ..link_equation import (function_label, helper_label,
LinkEquation, ArgumentWidget)
@link_... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/dialogs/link_editor/qt/tests/test_link_equation.py",
"copies": "4",
"size": "4988",
"license": "bsd-3-clause",
"hash": -926783851932668300,
"line_mean": 29.2303030303,
"line_max": 64,
"alpha_frac": 0.598436247,
"autogenerated": false,
"ratio": 3... |
from __future__ import absolute_import, division, print_function
import pytest
from mock import MagicMock
from glue.core import Data, DataCollection
from glue.core.component_id import ComponentID
from glue.external.echo.selection import SelectionCallbackProperty
from glue.core.state_objects import State
from ..data_... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/tests/test_data_combo_helper.py",
"copies": "1",
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"line_mean": 25.9110429448,
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"alpha_frac": 0.6499487063,
"autogenerated": false,
"ratio": 3.49661219609... |
from __future__ import absolute_import, division, print_function
import pytest
from mock import patch, MagicMock
from ..main import (die_on_error, restore_session, load_data_files,
main, start_glue)
from ..core import Data, DataCollection, Hub
def test_die_on_error_exception():
"""Decorator... | {
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"config_test": tr... |
from __future__ import absolute_import, division, print_function
import pytest
from odo.convert import (convert, list_to_numpy, iterator_to_numpy_chunks,
dataframe_to_chunks_dataframe, numpy_to_chunks_numpy,
chunks_dataframe_to_dataframe,
itera... | {
"repo_name": "quantopian/odo",
"path": "odo/tests/test_convert.py",
"copies": "4",
"size": "9291",
"license": "bsd-3-clause",
"hash": -577210499226597100,
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"line_max": 78,
"alpha_frac": 0.5849747067,
"autogenerated": false,
"ratio": 3.0214634146341464,
"config_test":... |
from __future__ import absolute_import, division, print_function
import pytest
from operator import (add, sub, mul, floordiv, mod, pow, truediv, eq, ne, lt,
gt, le, ge, getitem)
from functools import partial
from datetime import datetime
from datashape.util.testing import assert_dshape_equal
fro... | {
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"path": "blaze/expr/tests/test_symbol.py",
"copies": "3",
"size": "25185",
"license": "bsd-3-clause",
"hash": -857298987975311000,
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"line_max": 80,
"alpha_frac": 0.5617629541,
"autogenerated": false,
"ratio": 3.1115641215715346,
"con... |
from __future__ import absolute_import, division, print_function
import pytest
from sample_pb2 import MessageOfTypes
from mentor.protobuf import dict_to_protobuf, protobuf_to_dict
@pytest.fixture
def m():
m = MessageOfTypes()
m.dubl = 1.7e+308
m.flot = 3.4e+038
m.i32 = 2 ** 31 - 1 # 2147483647 #
... | {
"repo_name": "lensacom/satyr",
"path": "mentor/tests/test_protobuf.py",
"copies": "1",
"size": "4976",
"license": "apache-2.0",
"hash": 7564918650586295000,
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"line_max": 86,
"alpha_frac": 0.6131430868,
"autogenerated": false,
"ratio": 3.113892365456821,
"config_test"... |
from __future__ import absolute_import, division, print_function
import pytest
from sample_pb2 import MessageOfTypes
from proxo import dict_to_protobuf, protobuf_to_dict
@pytest.fixture
def m():
m = MessageOfTypes()
m.dubl = 1.7e+308
m.flot = 3.4e+038
m.i32 = 2 ** 31 - 1 # 2147483647 #
m.i64 = 2... | {
"repo_name": "kszucs/proxo",
"path": "proxo/tests/test_protobuf.py",
"copies": "1",
"size": "4961",
"license": "apache-2.0",
"hash": -705886448766327300,
"line_mean": 24.5721649485,
"line_max": 86,
"alpha_frac": 0.6125781093,
"autogenerated": false,
"ratio": 3.1142498430634022,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import pytest
import csv as csv_module
from blaze.data import CSV, JSON
import subprocess
import tempfile
import json
import os
from blaze.utils import filetext, tmpfile, raises
from blaze.compatibility import PY3, PY2
from datashape import discover, ds... | {
"repo_name": "vitan/blaze",
"path": "blaze/tests/test_mongo.py",
"copies": "1",
"size": "11099",
"license": "bsd-3-clause",
"hash": -5910002439369789000,
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"alpha_frac": 0.5899630597,
"autogenerated": false,
"ratio": 3.386939273725969,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import pytest
import drms
@pytest.mark.jsoc
@pytest.mark.export
@pytest.mark.parametrize('method', ['url_quick', 'url'])
def test_export_asis_basic(jsoc_client_export, method):
r = jsoc_client_export.export(
'hmi.v_avg120[2150]{mean,power}'... | {
"repo_name": "kbg/drms",
"path": "drms/tests/online/test_jsoc_export.py",
"copies": "1",
"size": "1034",
"license": "mit",
"hash": 4402143745860950500,
"line_mean": 30.3333333333,
"line_max": 74,
"alpha_frac": 0.6373307544,
"autogenerated": false,
"ratio": 3.541095890410959,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import pytest
import mesos_pb2
from proxo import encode, decode, MessageProxy
from mesos import (CommandInfo, Cpus, Disk, FrameworkID,
FrameworkInfo, Mem, Offer, ResourcesMixin,
ScalarResource, TaskID, TaskInfo,
... | {
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"path": "proxo/tests/test_mesos.py",
"copies": "1",
"size": "7866",
"license": "apache-2.0",
"hash": -3259916911450432000,
"line_mean": 25.6644067797,
"line_max": 77,
"alpha_frac": 0.6117467582,
"autogenerated": false,
"ratio": 3.1565008025682184,
"config_test": tr... |
from __future__ import absolute_import, division, print_function
import pytest
import numpy as np
from mock import MagicMock
from glue.external.six.moves import range as xrange
from glue import core
from .. import command as c
from .. import roi
from ..data_factories import tabular_data
from .util import simple_sess... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/tests/test_command.py",
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"size": "3732",
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"hash": -4717385627639079000,
"line_mean": 25.2816901408,
"line_max": 73,
"alpha_frac": 0.597266881,
"autogenerated": false,
"ratio": 3.445983379501385,
"co... |
from __future__ import absolute_import, division, print_function
import pytest
import numpy as np
from glue.external.six import string_types, PY2
from ..array import (view_shape, coerce_numeric, stack_view, unique,
shape_to_string, check_sorted, pretty_number)
@pytest.mark.parametrize(('before... | {
"repo_name": "saimn/glue",
"path": "glue/utils/tests/test_array.py",
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"line_max": 100,
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"autogenerated": false,
"ratio": 3.015007898894155,
"config_test... |
from __future__ import absolute_import, division, print_function
import pytest
import numpy as np
from qtpy import QtCore, QtGui
from glue.utils.qt import get_qapp
from qtpy.QtCore import Qt
from glue.core import Data, DataCollection, Session
from glue.utils.qt import qt4_to_mpl_color
from glue.app.qt import GlueAppl... | {
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"autogenerated": false,
"ratio": 3.12213422259274... |
from __future__ import (absolute_import, division, print_function)
import pytest
import numpy as np
import mocsy
@pytest.fixture
def scalar_variables():
"""
Functions return 1-dimensional numpy arrays.
Scalar inputs return length-1 arrays.
DATA input: DIC and ALk in mol/kg, in situ temperature, pres... | {
"repo_name": "jamesorr/mocsy",
"path": "test/test_mocsy.py",
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"size": "1647",
"license": "mit",
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"alpha_frac": 0.5069823922,
"autogenerated": false,
"ratio": 3.347560975609756,
"config_test": true,
"has_no_keyw... |
from __future__ import absolute_import, division, print_function
import pytest
import os
import json
from datetime import datetime, timedelta
import pandas as pd
from pytz import utc
from blaze.server.serialization import (json_dumps, json_dumps_trusted,
object_hook, object_ho... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/server/tests/test_serialization.py",
"copies": "3",
"size": "1179",
"license": "bsd-3-clause",
"hash": -5075330953334770000,
"line_mean": 38.3,
"line_max": 85,
"alpha_frac": 0.6022052587,
"autogenerated": false,
"ratio": 3.43731778425656,
"confi... |
from __future__ import absolute_import, division, print_function
import pytest
import os
import numpy as np
import sqlalchemy as sa
from datashape import discover, dshape
import datashape
from into.backends.sql import (dshape_to_table, create_from_datashape,
dshape_to_alchemy)
from into.... | {
"repo_name": "mrocklin/into",
"path": "into/backends/tests/test_sql.py",
"copies": "1",
"size": "8312",
"license": "bsd-3-clause",
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"line_max": 81,
"alpha_frac": 0.5754331088,
"autogenerated": false,
"ratio": 3.444674678823042,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
import pandas as pd
from operator import (add, sub, mul, floordiv, mod, pow, truediv, eq, ne, lt,
gt, le, ge, getitem)
from functools import partial
from datetime import datetime
import datashape
from datashape.predic... | {
"repo_name": "vitan/blaze",
"path": "blaze/expr/tests/test_table.py",
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"ratio": 3.137116361227644,
"config_test... |
from __future__ import absolute_import, division, print_function
import pytest
import platform
pytestmark = pytest.mark.skipif('windows' in platform.platform().lower(),
reason='No Mongo support on Windows.')
pymongo = pytest.importorskip('pymongo')
from datetime import datetime
from to... | {
"repo_name": "cpcloud/blaze",
"path": "blaze/compute/tests/test_mongo_compute.py",
"copies": "2",
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"line_mean": 30.1221945137,
"line_max": 82,
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"autogenerated": false,
"ratio": 3.1901840490797544,... |
from __future__ import absolute_import, division, print_function
import pytest
import requests_mock
from appr.client import DEFAULT_PREFIX
from appr.commands.inspect import InspectCmd
def get_inspectcmd(cli_parser, args=[]):
options = cli_parser.parse_args(["inspect"] + args)
return InspectCmd(options)
de... | {
"repo_name": "app-registry/appr",
"path": "tests/commands/test_inspect.py",
"copies": "2",
"size": "2449",
"license": "apache-2.0",
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"line_mean": 41.9649122807,
"line_max": 117,
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"autogenerated": false,
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"confi... |
from __future__ import absolute_import, division, print_function
import pytest
import requests
import requests_mock
import appr
from appr.client import DEFAULT_PREFIX, DEFAULT_REGISTRY, ApprClient
from appr.commands.version import VersionCmd
def get_versioncmd(cli_parser, args=[]):
options = cli_parser.parse_ar... | {
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"path": "tests/commands/test_version.py",
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"config_... |
from __future__ import absolute_import, division, print_function
import pytest
import six
import drms
from drms.config import ServerConfig, register_server, _server_configs
def test_create_config_basic():
cfg = ServerConfig(name='TEST')
valid_keys = ServerConfig._valid_keys
assert 'name' in valid_keys
... | {
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"autogenerated": false,
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"config_test": true,
"has_no_... |
from __future__ import absolute_import, division, print_function
import pytest
import sys
def pytest_addoption(parser):
group = parser.getgroup("debugconfig")
group.addoption('--setuponly', '--setup-only', action="store_true",
help="only setup fixtures, do not execute tests.")
group.a... | {
"repo_name": "Varentsov/servo",
"path": "tests/wpt/web-platform-tests/tools/third_party/pytest/_pytest/setuponly.py",
"copies": "16",
"size": "2576",
"license": "mpl-2.0",
"hash": 8185484454531317000,
"line_mean": 33.8108108108,
"line_max": 77,
"alpha_frac": 0.6246118012,
"autogenerated": false,
... |
from __future__ import absolute_import, division, print_function
import pytest
import sys
pytest.importorskip('dynd')
from odo import create, convert, discover
from dynd import nd
import numpy as np
import datashape
@pytest.fixture
def x():
ds = datashape.dshape('3 * int32')
return convert(nd.array, [1, 2, ... | {
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from __future__ import absolute_import, division, print_function
import pytest
from characteristic import (
attributes,
with_cmp,
with_init,
with_repr,
)
@with_cmp(["a", "b"])
class CmpC(object):
def __init__(self, a, b):
self.a = a
self.b = b
class TestWithCmp(object):
def... | {
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"config_test": true,... |
from __future__ import absolute_import, division, print_function
import pytest
from contextlib import contextmanager
from odo.utils import tmpfile
from odo.chunks import chunks
from odo import into, append, convert, resource, discover, odo
import datashape
import pandas as pd
from datetime import datetime
import nump... | {
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"autogenerated": false,
"ratio": 3.3199426111908177,
"config... |
from __future__ import absolute_import, division, print_function
import pytest
from datashape import discover, dshape
from blaze.compute.core import (compute_up, compute, bottom_up_until_type_break,
top_then_bottom_then_top_again_etc,
swap_resources_int... | {
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"line_max": 80,
"alpha_frac": 0.5717803497,
"autogenerated": false,
"ratio": 3.2358565737051794,
... |
from __future__ import absolute_import, division, print_function
import pytest
from datetime import datetime
import pandas as pd
import pandas.util.testing as tm
import numpy as np
from pandas import DataFrame, Series
from blaze.compute.core import compute
from blaze import dshape, discover, transform
from blaze.exp... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/compute/tests/test_pandas_compute.py",
"copies": "1",
"size": "22170",
"license": "bsd-3-clause",
"hash": 6002215032312039000,
"line_mean": 32.7957317073,
"line_max": 80,
"alpha_frac": 0.5312584574,
"autogenerated": false,
"ratio": 3.2981255578696818... |
from __future__ import absolute_import, division, print_function
import pytest
from datetime import datetime, timedelta
import pandas as pd
import pandas.util.testing as tm
import numpy as np
from pandas import DataFrame, Series
from string import ascii_lowercase
from blaze.compute.core import compute
from blaze imp... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/compute/tests/test_pandas_compute.py",
"copies": "1",
"size": "24994",
"license": "bsd-3-clause",
"hash": -8789827874719136000,
"line_mean": 32.0171730515,
"line_max": 80,
"alpha_frac": 0.5355685364,
"autogenerated": false,
"ratio": 3.262924281984334... |
from __future__ import absolute_import, division, print_function
import pytest
from datetime import datetime, timedelta
import numpy as np
import pandas as pd
import pandas.util.testing as tm
from pandas import DataFrame, Series
from string import ascii_lowercase
from blaze.compute.core import compute
from blaze ... | {
"repo_name": "alexmojaki/blaze",
"path": "blaze/compute/tests/test_pandas_compute.py",
"copies": "1",
"size": "26918",
"license": "bsd-3-clause",
"hash": 3328872096729691000,
"line_mean": 31.8669108669,
"line_max": 80,
"alpha_frac": 0.5332119771,
"autogenerated": false,
"ratio": 3.24704463208685... |
from __future__ import absolute_import, division, print_function
import pytest
from flask import json
from datetime import datetime
from pandas import DataFrame
from blaze.utils import example
from blaze import discover, Symbol, by, CSV, compute, join, into
from blaze.server.server import Server, to_tree, from_tree
... | {
"repo_name": "vitan/blaze",
"path": "blaze/server/tests/test_server.py",
"copies": "1",
"size": "5959",
"license": "bsd-3-clause",
"hash": -1296069222700162000,
"line_mean": 30.6968085106,
"line_max": 78,
"alpha_frac": 0.5474072831,
"autogenerated": false,
"ratio": 3.731371321227301,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
from ..misc import as_variable_name, file_format, DeferredMethod, nonpartial, lookup_class, as_list
def test_as_variable_name():
def check(input, expected):
assert as_variable_name(input) == expected
tests = [('x', 'x'),... | {
"repo_name": "saimn/glue",
"path": "glue/utils/tests/test_misc.py",
"copies": "1",
"size": "2111",
"license": "bsd-3-clause",
"hash": -3686561961446025700,
"line_mean": 20.9895833333,
"line_max": 99,
"alpha_frac": 0.5722406442,
"autogenerated": false,
"ratio": 3.3668261562998407,
"config_test"... |
from __future__ import absolute_import, division, print_function
import pytest
from odo.numpy_dtype import dshape_to_pandas, unit_to_dtype, dshape_to_numpy
from datashape import dshape
import numpy as np
@pytest.mark.parametrize(
['ds', 'expected'],
[
('decimal[9,2]', np.float64),
('decimal[... | {
"repo_name": "ContinuumIO/odo",
"path": "odo/tests/test_numpy_dtype.py",
"copies": "4",
"size": "1756",
"license": "bsd-3-clause",
"hash": -817289840533496600,
"line_mean": 24.4492753623,
"line_max": 77,
"alpha_frac": 0.5506833713,
"autogenerated": false,
"ratio": 3.0328151986183074,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
from qtpy import QtTest
from qtpy.QtCore import Qt
from glue.core import Data
from ..equation_editor import EquationEditorDialog
class TestEquationEditor:
def setup_method(self, method):
self.data = Data(x=[1, 2, 3], y=[3, ... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/dialogs/component_manager/qt/tests/test_equation_editor.py",
"copies": "1",
"size": "2997",
"license": "bsd-3-clause",
"hash": 5676039562706889000,
"line_mean": 37.4230769231,
"line_max": 87,
"alpha_frac": 0.6529863197,
"autogenerated": false,
"... |
from __future__ import absolute_import, division, print_function
import pytest
from symantecssl.datastructures import CaseInsensitiveDict
class TestCaseInsensitiveDict:
@pytest.mark.parametrize(("initial", "expected"), [
({"a": "b"}, {"a": "b"}),
(None, {}),
])
def test_initial_data(sel... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "tests/unit/test_datastructures.py",
"copies": "1",
"size": "3186",
"license": "apache-2.0",
"hash": 2433546475573119500,
"line_mean": 27.7027027027,
"line_max": 78,
"alpha_frac": 0.4786566227,
"autogenerated": false,
"ratio": 3.7570754716981134,
"... |
from __future__ import absolute_import, division, print_function
import pytest
from symantecssl.exceptions import SymantecError
from symantecssl.email import ResendEmail
def test_resend_email_response_success():
xml = b"""
<?xml version="1.0" encoding="UTF-8"?>
<ResendEmail>
<OrderResponseHeader... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "tests/unit/test_email.py",
"copies": "1",
"size": "1439",
"license": "apache-2.0",
"hash": -2150734513724345300,
"line_mean": 28.9791666667,
"line_max": 76,
"alpha_frac": 0.6108408617,
"autogenerated": false,
"ratio": 3.7183462532299743,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
from symantecssl.exceptions import SymantecError
from symantecssl.order import(
Order, GetOrderByPartnerOrderID, GetOrdersByDateRange,
GetModifiedOrders, ModifyOrder, ChangeApproverEmail, Reissue, Revoke,
GetQuickApproverList, ... | {
"repo_name": "jmvrbanac/symantecssl",
"path": "tests/unit/test_order.py",
"copies": "1",
"size": "24086",
"license": "apache-2.0",
"hash": 3552062922617811500,
"line_mean": 32.6867132867,
"line_max": 83,
"alpha_frac": 0.5758116748,
"autogenerated": false,
"ratio": 3.82681919288211,
"config_tes... |
from __future__ import absolute_import, division, print_function
import pytest
from tlsenum.parse_hello import (
ClientHello, Extensions, HandshakeFailure, ServerHello
)
class TestClientHello(object):
@pytest.mark.parametrize("version_string,protocol_minor", [
("3.0", 0), ("1.0", 1), ("1.1", 2), ("1... | {
"repo_name": "Ayrx/tlsenum",
"path": "tests/test_parse_hello.py",
"copies": "1",
"size": "5543",
"license": "mit",
"hash": -8522006991290384000,
"line_mean": 33.4285714286,
"line_max": 79,
"alpha_frac": 0.5800108245,
"autogenerated": false,
"ratio": 2.888483585200625,
"config_test": true,
"h... |
from __future__ import absolute_import, division, print_function
import pytest
import itertools
import numpy as np
import pandas as pd
from datetime import datetime, date
from blaze.compute.core import compute, compute_up
from blaze.expr import symbol, by, exp, summary, Broadcast, join, concat
from blaze.expr impo... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/compute/tests/test_numpy_compute.py",
"copies": "3",
"size": "20852",
"license": "bsd-3-clause",
"hash": 1928576290793857000,
"line_mean": 28.7885714286,
"line_max": 82,
"alpha_frac": 0.5281987339,
"autogenerated": false,
"ratio": 2.95898964098197... |
from __future__ import absolute_import, division, print_function
import pytest
import numpy as np
import pandas as pd
from datetime import datetime, date
from blaze.compute.core import compute, compute_up
from blaze.expr import symbol, by, exp, summary, Broadcast, join, concat
from blaze import sin
from odo import i... | {
"repo_name": "maxalbert/blaze",
"path": "blaze/compute/tests/test_numpy_compute.py",
"copies": "3",
"size": "16537",
"license": "bsd-3-clause",
"hash": 2990124276218332700,
"line_mean": 28.5303571429,
"line_max": 82,
"alpha_frac": 0.5169619641,
"autogenerated": false,
"ratio": 2.997462388979518,... |
from __future__ import absolute_import, division, print_function
import pytest
import numpy as np
import tensorflow as tf
import logging
from lucid.optvis.param.cppn import cppn
log = logging.getLogger(__name__)
@pytest.mark.slow
def test_cppn_fits_xor():
with tf.Graph().as_default(), tf.Session() as sess:... | {
"repo_name": "tensorflow/lucid",
"path": "tests/optvis/param/test_cppn.py",
"copies": "1",
"size": "1302",
"license": "apache-2.0",
"hash": 6490602012742315000,
"line_mean": 27.3043478261,
"line_max": 74,
"alpha_frac": 0.4976958525,
"autogenerated": false,
"ratio": 3.6166666666666667,
"config_... |
from __future__ import absolute_import, division, print_function
import pytest
import os
import numpy as np
HAVE_COLAB_NVIDIA = (os.path.exists('/usr/lib64-nvidia/') and
os.path.exists('/opt/bin/nvidia-smi'))
WIDTH, HEIGHT = 200, 100
if HAVE_COLAB_NVIDIA:
from lucid.misc.gl import glcontext... | {
"repo_name": "tensorflow/lucid",
"path": "tests/test_gl.py",
"copies": "1",
"size": "1919",
"license": "apache-2.0",
"hash": -7593234174846766000,
"line_mean": 29.4761904762,
"line_max": 84,
"alpha_frac": 0.6263678999,
"autogenerated": false,
"ratio": 2.6876750700280114,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import pytest
import stripe
class TestUpdateableAPIResource(object):
class MyUpdateable(stripe.api_resources.abstract.UpdateableAPIResource):
OBJECT_NAME = "myupdateable"
@pytest.fixture
def obj(self, request_mock):
reques... | {
"repo_name": "stripe/stripe-python",
"path": "tests/api_resources/abstract/test_updateable_api_resource.py",
"copies": "1",
"size": "9736",
"license": "mit",
"hash": -6630615364906153000,
"line_mean": 27.0576368876,
"line_max": 79,
"alpha_frac": 0.4725760066,
"autogenerated": false,
"ratio": 3.8... |
from __future__ import absolute_import, division, print_function
import pytest
import stripe
TEST_RESOURCE_ID = "acap_123"
class TestCapability(object):
def construct_resource(self):
capability_dict = {
"id": TEST_RESOURCE_ID,
"object": "capability",
"account": "acc... | {
"repo_name": "stripe/stripe-python",
"path": "tests/api_resources/test_capability.py",
"copies": "1",
"size": "1286",
"license": "mit",
"hash": 1793848686913154800,
"line_mean": 28.9069767442,
"line_max": 78,
"alpha_frac": 0.6220839813,
"autogenerated": false,
"ratio": 3.9691358024691357,
"con... |
from __future__ import absolute_import, division, print_function
import pytest
import sys
import os
import numpy as np
import pandas as pd
import pandas.util.testing as tm
import gzip
import datashape
from datashape import Option, string
from collections import Iterator
from odo.backends.csv import (CSV, append, con... | {
"repo_name": "ContinuumIO/odo",
"path": "odo/backends/tests/test_csv.py",
"copies": "4",
"size": "16450",
"license": "bsd-3-clause",
"hash": 3496978353920562700,
"line_mean": 32.2323232323,
"line_max": 89,
"alpha_frac": 0.5688145897,
"autogenerated": false,
"ratio": 3.167725784710187,
"config_... |
from __future__ import absolute_import, division, print_function
import pytest
import tensorflow as tf
import numpy as np
from lucid.optvis import objectives, param, render, transform
from lucid.modelzoo.vision_models import InceptionV1
np.random.seed(42)
NUM_STEPS = 3
@pytest.fixture
def inceptionv1():
retu... | {
"repo_name": "tensorflow/lucid",
"path": "tests/optvis/test_objectives.py",
"copies": "1",
"size": "5254",
"license": "apache-2.0",
"hash": -17442955994175260,
"line_mean": 33.1168831169,
"line_max": 90,
"alpha_frac": 0.7032736962,
"autogenerated": false,
"ratio": 3.2075702075702077,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
from blaze import SQL
from blaze import CSV
from blaze.api.into import into
from blaze.utils import tmpfile
import sqlalchemy
import os
import csv as csv_module
import subprocess
@pytest.yield_fixture
def engine():
with tmpfile('db'... | {
"repo_name": "vitan/blaze",
"path": "blaze/tests/test_sqlite_into.py",
"copies": "1",
"size": "1200",
"license": "bsd-3-clause",
"hash": -8975521517304900000,
"line_mean": 23.4897959184,
"line_max": 99,
"alpha_frac": 0.64,
"autogenerated": false,
"ratio": 3.380281690140845,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import pytest
np = pytest.importorskip('numpy')
import dask.array as da
from dask.array.utils import assert_eq
def test_ufunc_meta():
assert da.log.__name__ == 'log'
assert da.log.__doc__.replace(' # doctest: +SKIP', '') == np.log.__doc__
... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/tests/test_ufunc.py",
"copies": "1",
"size": "8152",
"license": "bsd-3-clause",
"hash": 6625311100792822000,
"line_mean": 33.2521008403,
"line_max": 83,
"alpha_frac": 0.6079489696,
"autogenerated": false,
"ratio": 2.978443551333577,
"config_tes... |
from __future__ import absolute_import, division, print_function
import pytest
psycopg2 = pytest.importorskip('psycopg2')
import subprocess
ps = subprocess.Popen("ps aux | grep postgres",shell=True, stdout=subprocess.PIPE)
output = ps.stdout.read()
pytestmark = pytest.mark.skipif(len(output.split('\n')) < 6, reason="... | {
"repo_name": "quasiben/TravisTesting",
"path": "test_postgres.py",
"copies": "1",
"size": "1530",
"license": "bsd-3-clause",
"hash": -6500757372008466000,
"line_mean": 25.8421052632,
"line_max": 95,
"alpha_frac": 0.6549019608,
"autogenerated": false,
"ratio": 3.477272727272727,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import pytest
pymysql = pytest.importorskip('pymysql')
from decimal import Decimal
from datashape import var, DataShape, Record, dshape
import itertools
from odo.backends.csv import CSV
from odo import resource, odo
import sqlalchemy
import sqlalchemy ... | {
"repo_name": "cowlicks/odo",
"path": "odo/backends/tests/test_mysql.py",
"copies": "1",
"size": "7217",
"license": "bsd-3-clause",
"hash": -5976768823582634000,
"line_mean": 26.5458015267,
"line_max": 80,
"alpha_frac": 0.56089788,
"autogenerated": false,
"ratio": 3.203284509542832,
"config_tes... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('dask')
from toolz import merge
from odo.backends.dask import append
from dask.array.core import insert_to_ooc, Array
from dask import core
from odo import convert, into, odo
from odo.utils import tmpfile
import numpy ... | {
"repo_name": "ContinuumIO/odo",
"path": "odo/backends/tests/test_dask_array.py",
"copies": "9",
"size": "1748",
"license": "bsd-3-clause",
"hash": -6406182462798293000,
"line_mean": 22,
"line_max": 64,
"alpha_frac": 0.6035469108,
"autogenerated": false,
"ratio": 2.814814814814815,
"config_test... |
from __future__ import absolute_import, division, print_function
import pytest
sa = pytest.importorskip('sqlalchemy')
import itertools
from distutils.version import LooseVersion
import datashape
from odo import into, resource, discover
from pandas import DataFrame
from toolz import unique
from blaze.compute.sql i... | {
"repo_name": "ChinaQuants/blaze",
"path": "blaze/compute/tests/test_sql_compute.py",
"copies": "1",
"size": "57932",
"license": "bsd-3-clause",
"hash": 9071161787863940000,
"line_mean": 29.3626834382,
"line_max": 89,
"alpha_frac": 0.5619174204,
"autogenerated": false,
"ratio": 3.520204168438962,... |
from __future__ import absolute_import, division, print_function
import pytest
sa = pytest.importorskip('sqlalchemy')
import itertools
import re
from distutils.version import LooseVersion
import datashape
from odo import into, resource, discover
from pandas import DataFrame
from toolz import unique
from blaze.com... | {
"repo_name": "nkhuyu/blaze",
"path": "blaze/compute/tests/test_sql_compute.py",
"copies": "2",
"size": "53619",
"license": "bsd-3-clause",
"hash": 2504637123533615600,
"line_mean": 30.2465034965,
"line_max": 89,
"alpha_frac": 0.561778474,
"autogenerated": false,
"ratio": 3.517383888743112,
"co... |
from __future__ import absolute_import, division, print_function
import pytest
pymongo = pytest.importorskip('pymongo')
from datetime import datetime
from toolz import pluck, reduceby, groupby
from datashape import Record
from blaze import into, compute, compute_up, discover, dshape, Data
from blaze.compute.mongo i... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/compute/tests/test_mongo_compute.py",
"copies": "1",
"size": "12208",
"license": "bsd-3-clause",
"hash": 578315092615927900,
"line_mean": 29.9063291139,
"line_max": 82,
"alpha_frac": 0.5540629096,
"autogenerated": false,
"ratio": 3.1766848816029145,
... |
from __future__ import absolute_import, division, print_function
import pytest
pyspark = pytest.importorskip('pyspark')
import pandas as pd
from blaze import compute, symbol, summary, exp, by, join, merge
from toolz import identity
data = [['Alice', 100, 1],
['Bob', 200, 2],
['Alice', 50, 3]]
data2... | {
"repo_name": "LiaoPan/blaze",
"path": "blaze/compute/tests/test_spark.py",
"copies": "3",
"size": "7842",
"license": "bsd-3-clause",
"hash": -5265908584477134000,
"line_mean": 26.0413793103,
"line_max": 87,
"alpha_frac": 0.5248661056,
"autogenerated": false,
"ratio": 3.11067036890123,
"config_... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('dill')
from toolz import (merge, join, pipe, filter, identity, merge_with, take,
partial)
import math
from dask.bag.core import (Bag, lazify, lazify_task, fuse, map, collect,
reduceby, bz2_stream, strea... | {
"repo_name": "esc/dask",
"path": "dask/bag/tests/test_bag.py",
"copies": "1",
"size": "11489",
"license": "bsd-3-clause",
"hash": -8498418526715922000,
"line_mean": 27.57960199,
"line_max": 81,
"alpha_frac": 0.521107146,
"autogenerated": false,
"ratio": 2.9428790983606556,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('dill')
from toolz import (merge, join, pipe, filter, identity, merge_with, take,
partial, valmap)
import math
from dask.bag.core import (Bag, lazify, lazify_task, fuse, map, collect,
reduceby, bz2_strea... | {
"repo_name": "simudream/dask",
"path": "dask/bag/tests/test_bag.py",
"copies": "4",
"size": "16038",
"license": "bsd-3-clause",
"hash": 7355202932834508000,
"line_mean": 28.2664233577,
"line_max": 90,
"alpha_frac": 0.5288065844,
"autogenerated": false,
"ratio": 2.904382470119522,
"config_test"... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('flask')
from base64 import b64encode
import datashape
import numpy as np
from datetime import datetime
from pandas import DataFrame
from toolz import pipe
from odo import odo
from blaze.utils import example
from blaz... | {
"repo_name": "jdmcbr/blaze",
"path": "blaze/server/tests/test_server.py",
"copies": "3",
"size": "13833",
"license": "bsd-3-clause",
"hash": -4390652995162344400,
"line_mean": 27.3463114754,
"line_max": 78,
"alpha_frac": 0.5990023856,
"autogenerated": false,
"ratio": 3.5487429451000514,
"confi... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('flask')
from pandas import DataFrame
from blaze import compute, Data, by, into, discover
from blaze.expr import Expr, symbol, Field
from blaze.dispatch import dispatch
from blaze.server import Server
from blaze.server.... | {
"repo_name": "jdmcbr/blaze",
"path": "blaze/server/tests/test_client.py",
"copies": "13",
"size": "2942",
"license": "bsd-3-clause",
"hash": 2232242739188173800,
"line_mean": 25.5045045045,
"line_max": 82,
"alpha_frac": 0.6363018355,
"autogenerated": false,
"ratio": 3.489916963226572,
"config_... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
from operator import add
from tempfile import mkdtemp
import shutil
import os
from toolz import merge
from toolz.curried import identity
import dask
import dask.array as da
from dask.async import get_sync
fro... | {
"repo_name": "pombredanne/dask",
"path": "dask/array/tests/test_array_core.py",
"copies": "1",
"size": "47817",
"license": "bsd-3-clause",
"hash": -6772545908611036000,
"line_mean": 29.6519230769,
"line_max": 92,
"alpha_frac": 0.5044858523,
"autogenerated": false,
"ratio": 2.698780900778869,
"... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
from operator import add
from toolz import merge
from toolz.curried import identity
import dask
import dask.array as da
from dask.array.core import *
from dask.utils import raises, ignoring, tmpfile
inc = l... | {
"repo_name": "marianotepper/dask",
"path": "dask/array/tests/test_array_core.py",
"copies": "2",
"size": "31939",
"license": "bsd-3-clause",
"hash": 797746825579494100,
"line_mean": 29.1311320755,
"line_max": 83,
"alpha_frac": 0.4914681111,
"autogenerated": false,
"ratio": 2.62829163923634,
"c... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
from operator import add, sub
from tempfile import mkdtemp
import shutil
import os
from toolz import merge
from toolz.curried import identity
import dask
import dask.array as da
from dask.async import get_syn... | {
"repo_name": "vikhyat/dask",
"path": "dask/array/tests/test_array_core.py",
"copies": "1",
"size": "53268",
"license": "bsd-3-clause",
"hash": -5817916251116970000,
"line_mean": 29.5085910653,
"line_max": 92,
"alpha_frac": 0.5073214688,
"autogenerated": false,
"ratio": 2.707395171537484,
"conf... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
from operator import add, sub
import os
import shutil
import time
from toolz import merge, countby
from toolz.curried import identity
import dask
import dask.array as da
from dask.delayed import delayed
from ... | {
"repo_name": "mikegraham/dask",
"path": "dask/array/tests/test_array_core.py",
"copies": "1",
"size": "62339",
"license": "bsd-3-clause",
"hash": -5042705004294711000,
"line_mean": 29.573320255,
"line_max": 92,
"alpha_frac": 0.5210061117,
"autogenerated": false,
"ratio": 2.638017857898523,
"co... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
import dask.array as da
from dask.array.utils import assert_eq as _assert_eq
from dask.core import get_deps
from dask.context import set_options
import numpy as np
# temporary until numpy functions migrated
tr... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/tests/test_reductions.py",
"copies": "1",
"size": "14323",
"license": "bsd-3-clause",
"hash": 1115947319936954000,
"line_mean": 37.6064690027,
"line_max": 86,
"alpha_frac": 0.603295399,
"autogenerated": false,
"ratio": 2.573302191879267,
"confi... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
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 isinstan... | {
"repo_name": "simudream/dask",
"path": "dask/array/tests/test_reductions.py",
"copies": "4",
"size": "8980",
"license": "bsd-3-clause",
"hash": 1479019833814786000,
"line_mean": 38.2139737991,
"line_max": 84,
"alpha_frac": 0.6190423163,
"autogenerated": false,
"ratio": 2.5196408529741863,
"con... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
import numpy as np
from dask.array.chunk import coarsen, keepdims_wrapper
import dask.array as da
def test_keepdims_wrapper_no_axis():
def summer(a, axis=None):
return a.sum(axis=axis)
summe... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/tests/test_chunk.py",
"copies": "6",
"size": "2956",
"license": "bsd-3-clause",
"hash": 2271109899541926100,
"line_mean": 24.9298245614,
"line_max": 77,
"alpha_frac": 0.5818673884,
"autogenerated": false,
"ratio": 2.8098859315589353,
"config_tes... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('numpy')
import numpy as np
from dask.array.chunk import coarsen, keepdims_wrapper, trim
import dask.array as da
def test_keepdims_wrapper_no_axis():
def summer(a, axis=None):
return a.sum(axis=axis)
... | {
"repo_name": "jayhetee/dask",
"path": "dask/array/tests/test_chunk.py",
"copies": "12",
"size": "3060",
"license": "bsd-3-clause",
"hash": 2776134822795118000,
"line_mean": 24.2892561983,
"line_max": 77,
"alpha_frac": 0.5777777778,
"autogenerated": false,
"ratio": 2.809917355371901,
"config_te... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('sqlalchemy')
import os
from decimal import Decimal
from functools import partial
from textwrap import dedent
import datashape
from datashape import (
date_,
datetime_,
discover,
dshape,
int_,
i... | {
"repo_name": "quantopian/odo",
"path": "odo/backends/tests/test_sql.py",
"copies": "1",
"size": "30276",
"license": "bsd-3-clause",
"hash": 8226027051478876000,
"line_mean": 32.161007667,
"line_max": 114,
"alpha_frac": 0.5120557537,
"autogenerated": false,
"ratio": 3.644637053087757,
"config_t... |
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('sqlalchemy')
import os
from decimal import Decimal
import numpy as np
import pandas as pd
import sqlalchemy as sa
import toolz as tz
from datashape import discover, dshape, float32, float64
import datashape
from odo... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/tests/test_sql.py",
"copies": "1",
"size": "25128",
"license": "bsd-3-clause",
"hash": -5406466391290609000,
"line_mean": 33.1413043478,
"line_max": 114,
"alpha_frac": 0.4980101878,
"autogenerated": false,
"ratio": 3.727636849132176,
"config_te... |
from __future__ import absolute_import, division, print_function
import pytest
sqlalchemy = pytest.importorskip('sqlalchemy')
sa = sqlalchemy
import re
import datashape
from blaze.compute.sql import (compute, computefull, select, lower_column,
compute_up)
from blaze.expr import *
from... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/compute/tests/test_sql_compute.py",
"copies": "1",
"size": "38303",
"license": "bsd-3-clause",
"hash": -275609333618784960,
"line_mean": 30.5770816158,
"line_max": 88,
"alpha_frac": 0.5558311359,
"autogenerated": false,
"ratio": 3.5066373706857092,
... |
from __future__ import absolute_import, division, print_function
import random
from bisect import bisect_left
from itertools import cycle
from operator import itemgetter, add
from ..utils import funcname, import_required
from ..core import istask
from ..compatibility import apply
_BOKEH_MISSING_MSG = "Diagnostics p... | {
"repo_name": "chrisbarber/dask",
"path": "dask/diagnostics/profile_visualize.py",
"copies": "5",
"size": "13994",
"license": "bsd-3-clause",
"hash": 3151739303329082400,
"line_mean": 32.8837772397,
"line_max": 87,
"alpha_frac": 0.5519508361,
"autogenerated": false,
"ratio": 3.602059202059202,
... |
from __future__ import absolute_import, division, print_function
import random
from weakref import WeakKeyDictionary
from .core import CallbackProperty
__all__ = ['ChoiceSeparator', 'SelectionCallbackProperty']
class ChoiceSeparator(str):
pass
class SelectionCallbackProperty(CallbackProperty):
def __ini... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/external/echo/selection.py",
"copies": "1",
"size": "3306",
"license": "bsd-3-clause",
"hash": -6064434104924679000,
"line_mean": 33.4375,
"line_max": 103,
"alpha_frac": 0.610707804,
"autogenerated": false,
"ratio": 4.598052851182198,
"config_... |
from __future__ import absolute_import, division, print_function
import random
import io
import stripe
class MultipartDataGenerator(object):
def __init__(self, chunk_size=1028):
self.data = io.BytesIO()
self.line_break = "\r\n"
self.boundary = self._initialize_boundary()
self.chu... | {
"repo_name": "stripe/stripe-python",
"path": "stripe/multipart_data_generator.py",
"copies": "1",
"size": "2745",
"license": "mit",
"hash": 3818181858686663000,
"line_mean": 32.0722891566,
"line_max": 78,
"alpha_frac": 0.5322404372,
"autogenerated": false,
"ratio": 4.178082191780822,
"config_t... |
from __future__ import absolute_import, division, print_function
import random
import threading
import tempfile
import logging
import numpy as np
import tensorflow as tf
from tensorflow.contrib import layers, learn
import gym
from deep_rl.agents import A3CAgent
from deep_rl.graphs import create_a3c_graph
from deep_r... | {
"repo_name": "domluna/deep_rl",
"path": "examples/run_a3c.py",
"copies": "1",
"size": "3805",
"license": "mit",
"hash": 8206693651668566000,
"line_mean": 35.2380952381,
"line_max": 131,
"alpha_frac": 0.6509855453,
"autogenerated": false,
"ratio": 3.6977648202138,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
import random
import time
from workflows.services.common_service import CommonService
class SampleTxn(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_transaction.py",
"copies": "1",
"size": "3078",
"license": "bsd-3-clause",
"hash": 2098202327255600400,
"line_mean": 33.2,
"line_max": 111,
"alpha_frac": 0.6656920078,
"autogenerated": false,
"ratio": 4.298882681564246,
"config_... |
from __future__ import absolute_import, division, print_function
import random
import numpy as np
import tensorflow as tf
from tensorflow.contrib.rnn.python.ops import core_rnn
from tensorflow.contrib.rnn.python.ops import core_rnn_cell
def build_data(n):
xs = []
ys = []
for i in range(0, 2000):
... | {
"repo_name": "DeepVisionTeam/TensorFlowBook",
"path": "rnn/sin/lstm_sin.py",
"copies": "2",
"size": "3352",
"license": "apache-2.0",
"hash": 2088985318783766300,
"line_mean": 31.5436893204,
"line_max": 72,
"alpha_frac": 0.5868138425,
"autogenerated": false,
"ratio": 2.9769094138543517,
"config... |
from __future__ import absolute_import, division, print_function
import random
import numpy
# Various pre-crafted datasets/variables for testing
# !!! Must not be changed -- only appended !!!
# while testing numpy we better not rely on numpy to produce random
# sequences
random.seed(1)
# but will seed it nevertheles... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/numpy-master/benchmarks/benchmarks/common.py",
"copies": "1",
"size": "2655",
"license": "mit",
"hash": 646335982683305500,
"line_mean": 21.3109243697,
"line_max": 72,
"alpha_frac": 0.6485875706,
"autogenerated": false,
"ratio": 3.5165... |
from __future__ import absolute_import, division, print_function
import random
import tensorflow as tf
import gym
from deep_rl.graphs import create_a3c_graph
from deep_rl.misc import first_in_collection
from deep_rl.trajectories import discount
from six.moves import range
EPSILON_ENDS = [0.1, 0.01, 0.5]
class A3... | {
"repo_name": "domluna/deep_rl",
"path": "deep_rl/agents/a3c.py",
"copies": "1",
"size": "4504",
"license": "mit",
"hash": -5563279794707713000,
"line_mean": 32.8646616541,
"line_max": 100,
"alpha_frac": 0.4735790409,
"autogenerated": false,
"ratio": 4.237064910630291,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import recordlinkage as rl
from recordlinkage.datasets import load_febrl1, load_febrl4
class CompareRecordLinkage(object):
timeout = 30 * 60
def setup(self):
# download data
self.A, self.B = load_febrl4()
# make pair... | {
"repo_name": "J535D165/recordlinkage",
"path": "benchmarks/bench_comparing.py",
"copies": "1",
"size": "6937",
"license": "bsd-3-clause",
"hash": 4714079973345498000,
"line_mean": 33.8592964824,
"line_max": 74,
"alpha_frac": 0.574023353,
"autogenerated": false,
"ratio": 3.347972972972973,
"con... |
from __future__ import absolute_import, division, print_function
import recordlinkage as rl
from recordlinkage.datasets import load_febrl1, load_febrl4
class PairsRecordLinkage(object):
timeout = 30 * 60
def setup(self):
# download data
self.A, self.B = load_febrl4()
def time_full_ind... | {
"repo_name": "J535D165/recordlinkage",
"path": "benchmarks/bench_indexing.py",
"copies": "1",
"size": "1699",
"license": "bsd-3-clause",
"hash": -8827227398262038000,
"line_mean": 18.3068181818,
"line_max": 67,
"alpha_frac": 0.5744555621,
"autogenerated": false,
"ratio": 3.4185110663983904,
"c... |
from __future__ import absolute_import, division, print_function
import re
from collections import OrderedDict
from imps.stdlib import FUTURE, get_paths, LOCAL, RELATIVE, STDLIB, THIRDPARTY
NOQA = r'.*\s*\#\sNOQA' # wont work if NOQA is inside a triple string.
PYLINT_IGNORE = r'.*\s*\#\s*pylint:\s*disable\=.*$' #... | {
"repo_name": "bootandy/imps",
"path": "imps/rebuilders.py",
"copies": "1",
"size": "7692",
"license": "apache-2.0",
"hash": -7344063784257826000,
"line_mean": 33.1866666667,
"line_max": 110,
"alpha_frac": 0.5733229329,
"autogenerated": false,
"ratio": 3.3796133567662565,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import re
from functools import partial
from graphviz import Digraph
from .core import istask, get_dependencies, ishashable
from .utils import funcname
def task_label(task):
"""Label for a task on a dot graph.
Examples
--------
>>> f... | {
"repo_name": "vikhyat/dask",
"path": "dask/dot.py",
"copies": "1",
"size": "6252",
"license": "bsd-3-clause",
"hash": 155931264962897400,
"line_mean": 27.4181818182,
"line_max": 80,
"alpha_frac": 0.5746960972,
"autogenerated": false,
"ratio": 3.7280858676207513,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
import re
from functools import partial
from graphviz import Digraph
from .core import istask, get_dependencies, ishashable
def task_label(task):
"""Label for a task on a dot graph.
Examples
--------
>>> from operator import add
... | {
"repo_name": "clarkfitzg/dask",
"path": "dask/dot.py",
"copies": "1",
"size": "6019",
"license": "bsd-3-clause",
"hash": -1726018515621820000,
"line_mean": 26.9953488372,
"line_max": 80,
"alpha_frac": 0.5736833361,
"autogenerated": false,
"ratio": 3.724628712871287,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import re
from functools import partial
from tornado import httputil
from tornado.httpserver import _CallableAdapter
from tornado.escape import url_escape, url_unescape, utf8
from tornado.log import app_log
from tornado.util import basestring_type, impo... | {
"repo_name": "baixuexue123/pyagent",
"path": "tornado_routing.py",
"copies": "1",
"size": "15904",
"license": "mit",
"hash": -7525367047206485000,
"line_mean": 34.5,
"line_max": 105,
"alpha_frac": 0.6038103622,
"autogenerated": false,
"ratio": 4.457399103139013,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
import re
from html.parser import HTMLParser
import requests
package_regexp = "(.+?)/(.+)"
class MetaHTMLParser(HTMLParser):
def __init__(self, variables):
self.meta = {}
self.variables = variables
HTMLParser.__init__(self... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/discovery.py",
"copies": "2",
"size": "2037",
"license": "apache-2.0",
"hash": -6581868122980772000,
"line_mean": 27.6901408451,
"line_max": 76,
"alpha_frac": 0.5483554246,
"autogenerated": false,
"ratio": 3.9707602339181287,
"config_tes... |
from __future__ import absolute_import, division, print_function
import re
from itertools import count
from operator import getitem
from .compatibility import unicode, zip_longest
from .core import add, inc # noqa: F401
from .core import (istask, get_dependencies, subs, toposort, flatten,
reverse... | {
"repo_name": "chrisbarber/dask",
"path": "dask/optimize.py",
"copies": "1",
"size": "22029",
"license": "bsd-3-clause",
"hash": 2286143074462763300,
"line_mean": 29.2181069959,
"line_max": 91,
"alpha_frac": 0.5274411004,
"autogenerated": false,
"ratio": 3.44203125,
"config_test": true,
"has_... |
from __future__ import (absolute_import, division, print_function)
import re
from qtpy.QtCore import QModelIndex
from qtpy.QtGui import QStandardItem, QStandardItemModel
from qtpy.QtWidgets import QAction
from addie.utilities import customtreeview as base
from addie.widgets.filedialog import get_save_file
from addie.r... | {
"repo_name": "neutrons/FastGR",
"path": "addie/rietveld/braggtree.py",
"copies": "1",
"size": "17364",
"license": "mit",
"hash": 113451641830986780,
"line_mean": 33.3841584158,
"line_max": 94,
"alpha_frac": 0.5738309145,
"autogenerated": false,
"ratio": 3.893273542600897,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import re
from subprocess import check_call, CalledProcessError
from graphviz import Digraph
from .core import istask, get_dependencies, ishashable
from .compatibility import BytesIO
def task_label(task):
"""Label for a task on a dot graph.
... | {
"repo_name": "ssanderson/dask",
"path": "dask/dot.py",
"copies": "1",
"size": "4440",
"license": "bsd-3-clause",
"hash": -4877502341369513000,
"line_mean": 25.5868263473,
"line_max": 80,
"alpha_frac": 0.5137387387,
"autogenerated": false,
"ratio": 3.657331136738056,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import re
from toolz import take
from datashape import discover, isdimension
from .compatibility import basestring, map
from .compute.mongo import dispatch
from .resource import resource
try:
import pymongo
from pymongo.collection import Collec... | {
"repo_name": "vitan/blaze",
"path": "blaze/mongo.py",
"copies": "1",
"size": "2528",
"license": "bsd-3-clause",
"hash": 1888218301617784800,
"line_mean": 24.5353535354,
"line_max": 93,
"alpha_frac": 0.6499208861,
"autogenerated": false,
"ratio": 3.5159944367176634,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import re
import os
from functools import partial
from .compatibility import apply
from .core import istask, get_dependencies, ishashable
from .utils import funcname, import_required
graphviz = import_required("graphviz", "Drawing dask graphs requires... | {
"repo_name": "cpcloud/dask",
"path": "dask/dot.py",
"copies": "3",
"size": "7527",
"license": "bsd-3-clause",
"hash": -1228811108125859600,
"line_mean": 29.2289156627,
"line_max": 87,
"alpha_frac": 0.5601169124,
"autogenerated": false,
"ratio": 3.7522432701894317,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
import re
import os
from functools import partial
from .core import istask, get_dependencies, ishashable
from .utils import funcname, import_required
graphviz = import_required("graphviz", "Drawing dask graphs requires the "
... | {
"repo_name": "cowlicks/dask",
"path": "dask/dot.py",
"copies": "2",
"size": "7248",
"license": "bsd-3-clause",
"hash": -3474547760852108000,
"line_mean": 28.9504132231,
"line_max": 87,
"alpha_frac": 0.5616721854,
"autogenerated": false,
"ratio": 3.7476732161323683,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
import re
import os
from functools import partial
from graphviz import Digraph
from .core import istask, get_dependencies, ishashable
from .utils import funcname
def task_label(task):
"""Label for a task on a dot graph.
Examples
--------... | {
"repo_name": "mikegraham/dask",
"path": "dask/dot.py",
"copies": "1",
"size": "6972",
"license": "bsd-3-clause",
"hash": -2134006818025583900,
"line_mean": 28.2941176471,
"line_max": 87,
"alpha_frac": 0.5672690763,
"autogenerated": false,
"ratio": 3.688888888888889,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import re
import random
from glue.core.component_link import ComponentLink
from glue.core.subset import Subset, SubsetState
from glue.core.data import ComponentID
TAG_RE = re.compile('\{\s*(?P<tag>\S+)\s*\}')
__all__ = ['ParsedCommand', 'ParsedSubset... | {
"repo_name": "saimn/glue",
"path": "glue/core/parse.py",
"copies": "3",
"size": "8323",
"license": "bsd-3-clause",
"hash": -8315131398652751000,
"line_mean": 29.4871794872,
"line_max": 87,
"alpha_frac": 0.6027874564,
"autogenerated": false,
"ratio": 4.357591623036649,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import re
import six
import pandas as pd
import numpy as np
__all__ = ['to_datetime']
# Compatibility functions for older pandas versions.
if tuple(map(int, pd.__version__.split('.')[:2])) < (0, 17):
def _pd_to_datetime_coerce(arg):
return... | {
"repo_name": "kbg/drms",
"path": "drms/utils.py",
"copies": "1",
"size": "2740",
"license": "mit",
"hash": 2826334684050906600,
"line_mean": 32.0120481928,
"line_max": 72,
"alpha_frac": 0.6375912409,
"autogenerated": false,
"ratio": 3.586387434554974,
"config_test": false,
"has_no_keywords":... |
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