text stringlengths 0 1.05M | meta dict |
|---|---|
from __future__ import absolute_import, division, print_function
import operator
from toolz import first
import numpy as np
import pandas as pd
from datashape import (
DataShape,
DateTime,
Option,
String,
TimeDelta,
coretypes as ct,
datetime_,
discover,
dshape,
optionify,
pr... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/expr/arithmetic.py",
"copies": "3",
"size": "10491",
"license": "bsd-3-clause",
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"autogenerated": false,
"ratio": 3.5181086519114686,
"config_tes... |
from __future__ import absolute_import, division, print_function
import operator
import bisect
from . import DDesc, Capabilities
def cat_descriptor_iter(ddlist):
for i, dd in enumerate(ddlist):
for el in dd:
yield el
class Cat_DDesc(DDesc):
"""
A Blaze data descriptor which concate... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/datadescriptor/cat_data_descriptor.py",
"copies": "3",
"size": "2808",
"license": "bsd-3-clause",
"hash": -2543626018772729000,
"line_mean": 32.8313253012,
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"autogenerated": false,
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from __future__ import absolute_import, division, print_function
import operator
import bisect
from . import IDataDescriptor, Capabilities
def cat_descriptor_iter(ddlist):
for i, dd in enumerate(ddlist):
for el in dd:
yield el
class CatDataDescriptor(IDataDescriptor):
"""
A Blaze d... | {
"repo_name": "zeeshanali/blaze",
"path": "blaze/datadescriptor/cat_data_descriptor.py",
"copies": "10",
"size": "2846",
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from __future__ import absolute_import, division, print_function
import operator
import logging
import numpy as np
import pandas as pd
from .contracts import contract
from .coordinates import Coordinates
from .visual import VisualAttributes
from .visual import COLORS
from .exceptions import IncompatibleAttribute
fro... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/data.py",
"copies": "1",
"size": "36278",
"license": "bsd-3-clause",
"hash": 4162764025858854000,
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"alpha_frac": 0.5859474061,
"autogenerated": false,
"ratio": 4.263485721001293,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import operator
import numbers
import numpy as np
from .visual import VisualAttributes, RED
from .decorators import memoize
from .message import SubsetDeleteMessage, SubsetUpdateMessage
from .exceptions import IncompatibleAttribute
from .registry impor... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/subset.py",
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"autogenerated": false,
"ratio": 4.099131419939577,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import operator
import sys
import types
PY3 = sys.version_info[0] == 3
PY2 = sys.version_info[0] == 2
if PY3:
import builtins
from queue import Queue, Empty
from itertools import zip_longest
from io import StringIO, BytesIO
from url... | {
"repo_name": "PhE/dask",
"path": "dask/compatibility.py",
"copies": "3",
"size": "1579",
"license": "bsd-3-clause",
"hash": 1519786199977895200,
"line_mean": 22.2205882353,
"line_max": 64,
"alpha_frac": 0.6453451552,
"autogenerated": false,
"ratio": 4.373961218836565,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import operator
import numpy as np
from toolz import merge
from ..base import tokenize
from ..compatibility import apply
from .core import top, dotmany, Array, eye
from .random import RandomState
def _cumsum_blocks(it):
total = 0
for x in it:... | {
"repo_name": "chrisbarber/dask",
"path": "dask/array/linalg.py",
"copies": "2",
"size": "27391",
"license": "bsd-3-clause",
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"line_max": 91,
"alpha_frac": 0.5301741448,
"autogenerated": false,
"ratio": 3.258505829169641,
"config_test": f... |
from __future__ import absolute_import, division, print_function
import operator
import numpy as np
import toolz
from ..base import tokenize
from ..compatibility import apply
from .. import sharedict
from .core import top, dotmany, Array, eye
from .random import RandomState
def _cumsum_blocks(it):
total = 0
... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/linalg.py",
"copies": "2",
"size": "27526",
"license": "bsd-3-clause",
"hash": -2251336822752956200,
"line_mean": 33.7550505051,
"line_max": 91,
"alpha_frac": 0.533858897,
"autogenerated": false,
"ratio": 3.266018035121025,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import operator
import numpy as np
from ..base import tokenize
from .core import top, dotmany, Array, eye
from .random import RandomState
def _cumsum_blocks(it):
total = 0
for x in it:
total_previous = total
total += x
... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/array/linalg.py",
"copies": "1",
"size": "25941",
"license": "mit",
"hash": 6704759274007398000,
"line_mean": 32.5588615783,
"line_max": 91,
"alpha_frac": 0.5340580548,
"autogenerated": false,
"ratio": 3.2540140... |
from __future__ import absolute_import, division, print_function
import operator
import numpy as np
from ..base import tokenize
from .core import top, dotmany, Array
from .random import RandomState
def _cumsum_blocks(it):
total = 0
for x in it:
total_previous = total
total += x
yiel... | {
"repo_name": "pombredanne/dask",
"path": "dask/array/linalg.py",
"copies": "2",
"size": "10601",
"license": "bsd-3-clause",
"hash": 2106684431642075400,
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"line_max": 80,
"alpha_frac": 0.5639090652,
"autogenerated": false,
"ratio": 3.174902665468703,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import operator
import numpy as np
from glue.external import six
from glue.core.component_link import BinaryComponentLink
from glue.core.subset import InequalitySubsetState
__all__ = ['PixelComponentID', 'ComponentID', 'PixelComponentID', 'ComponentI... | {
"repo_name": "saimn/glue",
"path": "glue/core/component_id.py",
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"alpha_frac": 0.6310633214,
"autogenerated": false,
"ratio": 4.039575289575289,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import operator
def weight(items, **kwargs):
if not len(kwargs):
raise ValueError('Missing attribute for weighting items!')
scaled = []
for attr, weight in kwargs.items():
values = [float(getattr(item, attr)) for item in ite... | {
"repo_name": "lensacom/satyr",
"path": "mentor/binpack.py",
"copies": "1",
"size": "3414",
"license": "apache-2.0",
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"autogenerated": false,
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"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
import os
from bcolz import ctable, carray
import numpy as np
from toolz import keyfilter
import datashape
from datashape import discover
import shutil
from ..append import append
from ..convert import convert, ooc_types
from ..resource import resource
f... | {
"repo_name": "mrocklin/into",
"path": "into/backends/bcolz.py",
"copies": "1",
"size": "3377",
"license": "bsd-3-clause",
"hash": 8320109676157865000,
"line_mean": 29.7,
"line_max": 80,
"alpha_frac": 0.6295528576,
"autogenerated": false,
"ratio": 3.3435643564356434,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import os
from collections import defaultdict, Counter
from qtpy import QtWidgets, QtGui, QtCore
from qtpy.QtCore import Qt
from glue.core import ComponentID
from glue.core.parse import ParsedComponentLink, ParsedCommand
from glue.utils.qt import load_... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/dialogs/component_manager/qt/component_manager.py",
"copies": "1",
"size": "12326",
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"hash": 5105669272021516000,
"line_mean": 35.0409356725,
"line_max": 102,
"alpha_frac": 0.6010871329,
"autogenerated": false,
"ratio":... |
from __future__ import absolute_import, division, print_function
import os
from collections import defaultdict
from typing import Dict, Text
_FIGURE_LIST = defaultdict(dict)
class Visualizer(object):
""" Visualizer """
def assert_figure(self, fig):
from matplotlib import pyplot as plt
assert isinstance... | {
"repo_name": "imito/odin",
"path": "odin/visual/base.py",
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"size": "3121",
"license": "mit",
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"alpha_frac": 0.5616789491,
"autogenerated": false,
"ratio": 3.599769319492503,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division, print_function
import os
from collections import deque, OrderedDict
from qtpy import QtWidgets, QtCore
from qtpy.QtCore import Qt
from glue.core.parse import InvalidTagError, ParsedCommand, TAG_RE
from glue.utils.qt import load_ui, CompletionTextEdit
__all__ = ['Equ... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/dialogs/component_manager/qt/equation_editor.py",
"copies": "1",
"size": "6696",
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"autogenerated": false,
"ratio": 3.... |
from __future__ import absolute_import, division, print_function
import os
from collections import OrderedDict
import numpy as np
from astropy.io import fits
from glue.config import subset_mask_importer, subset_mask_exporter
from glue.core.data_factories.fits import is_fits
@subset_mask_importer(label='FITS', exten... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/io/formats/fits/subset_mask.py",
"copies": "3",
"size": "1716",
"license": "bsd-3-clause",
"hash": -2173280280907220700,
"line_mean": 31.3773584906,
"line_max": 113,
"alpha_frac": 0.6002331002,
"autogenerated": false,
"ratio": 3.821826280623608,... |
from __future__ import absolute_import, division, print_function
import os
from contextlib import contextmanager
from qtpy import QtCore, QtWidgets
from qtpy.QtCore import Qt
from qtpy.uic import loadUi
from glue.utils.qt import get_text
__all__ = ['update_combobox', 'GlueTabBar', 'load_ui', 'process_dialog', 'combo... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/utils/qt/helpers.py",
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"size": "5647",
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"hash": -47789446397426570,
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"line_max": 91,
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"autogenerated": false,
"ratio": 4.1829629629629625,
"config_te... |
from __future__ import absolute_import, division, print_function
import os
from dynd import nd
import datashape
import sys
from functools import partial
from datashape import dshape, Record, to_numpy_dtype, Option
from datashape.predicates import isscalar
import toolz
from toolz import concat, partition_all, first, me... | {
"repo_name": "vitan/blaze",
"path": "blaze/api/into.py",
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"size": "28712",
"license": "bsd-3-clause",
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"line_max": 104,
"alpha_frac": 0.6053566453,
"autogenerated": false,
"ratio": 3.3097406340057636,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
from functools import partial
from qtpy.QtCore import Qt
from qtpy import QtGui, QtWidgets
from glue.core import message as msg
from glue.viewers.histogram.client import HistogramClient
from glue.viewers.common.qt.mpl_toolbar import Matplotlib... | {
"repo_name": "saimn/glue",
"path": "glue/viewers/histogram/qt/viewer_widget.py",
"copies": "1",
"size": "8779",
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"hash": -3931380991496283600,
"line_mean": 33.6996047431,
"line_max": 90,
"alpha_frac": 0.5955120173,
"autogenerated": false,
"ratio": 4.0889613414066135,
... |
from __future__ import absolute_import, division, print_function
import os
from inspect import getargspec
from qtpy import QtWidgets
from qtpy import PYSIDE
from glue import core
from glue.config import link_function, link_helper
from glue.utils import nonpartial
from glue.utils.qt import load_ui, messagebox_on_error... | {
"repo_name": "saimn/glue",
"path": "glue/dialogs/link_editor/qt/link_equation.py",
"copies": "1",
"size": "10331",
"license": "bsd-3-clause",
"hash": 3284742952285944000,
"line_mean": 32.651465798,
"line_max": 131,
"alpha_frac": 0.6263672442,
"autogenerated": false,
"ratio": 4.1012306470821756,
... |
from __future__ import absolute_import, division, print_function
import os
from locale import getpreferredencoding
from os.path import abspath
from conda.compat import PY3
from conda.cli.conda_argparse import ArgumentParser
from conda_build.index import update_index
def main():
p = ArgumentParser(
desc... | {
"repo_name": "dan-blanchard/conda-build",
"path": "conda_build/main_index.py",
"copies": "8",
"size": "1619",
"license": "bsd-3-clause",
"hash": -8339690776249541000,
"line_mean": 24.6984126984,
"line_max": 86,
"alpha_frac": 0.6040765905,
"autogenerated": false,
"ratio": 3.920096852300242,
"co... |
from __future__ import absolute_import, division, print_function
import os
from multiprocessing import Process
import math
import argparse
import logging
import numpy as np
import torch
import torch.nn.functional as F
import torch.multiprocessing as mp
from torch.autograd import Variable
from envs import create_env
fr... | {
"repo_name": "ibrica/universe-server",
"path": "trainings/ES_train.py",
"copies": "1",
"size": "10266",
"license": "mit",
"hash": -4872763249916882000,
"line_mean": 38.6409266409,
"line_max": 88,
"alpha_frac": 0.5676992012,
"autogenerated": false,
"ratio": 3.7508220679576176,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import os
from os import path
from .catalog_arr import load_blaze_array
def is_valid_bpath(d):
"""Returns true if it's a valid blaze path"""
# Disallow backslashes in blaze paths
if '\\' in d:
return False
# There should not be ... | {
"repo_name": "zeeshanali/blaze",
"path": "blaze/catalog/catalog_dir.py",
"copies": "7",
"size": "3772",
"license": "bsd-3-clause",
"hash": 283608171693789540,
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"line_max": 76,
"alpha_frac": 0.5567338282,
"autogenerated": false,
"ratio": 3.658583899127061,
"config_tes... |
from __future__ import absolute_import, division, print_function
import os
from os import path
import glob
import shutil
import tempfile
from dynd import nd, ndt
from .. import array
def load_json_file_array(root, array_name):
# Load the datashape
dsfile = root + '.datashape'
if not path.isfile(dsfile)... | {
"repo_name": "cezary12/blaze",
"path": "blaze/catalog/array_provider.py",
"copies": "13",
"size": "5440",
"license": "bsd-3-clause",
"hash": 7926381133068320000,
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"alpha_frac": 0.5926470588,
"autogenerated": false,
"ratio": 3.6436704621567313,
"config... |
from __future__ import absolute_import, division, print_function
import os
from platform import platform
from itertools import product
import pytest
sa = pytest.importorskip('sqlalchemy')
from datashape import dshape, discover
from odo import resource, odo
from odo.utils import tmpfile, filetext
ds = dshape('var * ... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/tests/test_sqlite.py",
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"size": "5015",
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"line_max": 80,
"alpha_frac": 0.5411764706,
"autogenerated": false,
"ratio": 3.361260053619303,
"config_tes... |
from __future__ import absolute_import, division, print_function
import os
from ply.lex import TOKEN, lex
__all__ = ['create_lexer', 'tokens']
keyworks = {'BEGIN', 'END', 'INPUT', 'OUTPUT'}
tokens = [
# with value.
'BOOLEAN',
'ID',
'SHORT_STRING',
'LONG_STRING',
'FLOAT_NUMBER',
'DECIMA... | {
"repo_name": "huntzhan/tcg",
"path": "tcg/ast/lexer.py",
"copies": "1",
"size": "2722",
"license": "mit",
"hash": 3271167666811264000,
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"line_max": 66,
"alpha_frac": 0.5808229243,
"autogenerated": false,
"ratio": 2.632495164410058,
"config_test": false,
"has_no_keyw... |
from __future__ import absolute_import, division, print_function
import os
from six import moves
import ssl
import tflearn
from tflearn.data_utils import *
path = "../../data/US_Cities.txt"
if not os.path.isfile(path):
context = ssl._create_unverified_context()
moves.urllib.request.urlretrieve("https://raw.g... | {
"repo_name": "hashware/tflearn-learn",
"path": "examples/nlp/lstm_generator_cityname.py",
"copies": "1",
"size": "1746",
"license": "mit",
"hash": 3024734390405894000,
"line_mean": 37.8,
"line_max": 153,
"alpha_frac": 0.6512027491,
"autogenerated": false,
"ratio": 3.117857142857143,
"config_te... |
from __future__ import absolute_import, division, print_function
import os
from time import ctime
from qtpy import QtWidgets
from glue import core
from glue.utils.qt import load_ui
class MessageWidget(QtWidgets.QWidget, core.hub.HubListener):
""" This simple class displays all messages broadcast
by a hub. I... | {
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"path": "glue/core/qt/message_widget.py",
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"size": "1541",
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"config_te... |
from __future__ import absolute_import, division, print_function
import os
import argparse
import torch
from envs import create_atari_env
from model import ES
from train import train_loop, render_env
parser = argparse.ArgumentParser(description='ES')
parser.add_argument('--env-name', default='PongDeterministic-v4',... | {
"repo_name": "atgambardella/pytorch-es",
"path": "main.py",
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"size": "2760",
"license": "mit",
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"alpha_frac": 0.6184782609,
"autogenerated": false,
"ratio": 3.786008230452675,
"config_test": false,
"has_no... |
from __future__ import (absolute_import, division, print_function)
import os
import contextlib
import pytest
import numpy as np
from netCDF4 import Dataset
from gridded.pyugrid.ugrid import UGrid
from gridded.pyugrid.grid_io import load_from_varnames
# @pytest.fixture
@contextlib.contextmanager
def non_compliant_... | {
"repo_name": "NOAA-ORR-ERD/gridded",
"path": "gridded/tests/test_ugrid/test_io_util.py",
"copies": "1",
"size": "2237",
"license": "unlicense",
"hash": -1073469762407732700,
"line_mean": 28.0519480519,
"line_max": 70,
"alpha_frac": 0.5994635673,
"autogenerated": false,
"ratio": 3.289705882352941... |
from __future__ import absolute_import, division, print_function
import os
import copy
import fnmatch
import warnings
from glob import glob
from io import BytesIO
try:
from HTMLParser import HTMLParser
except ImportError:
from html.parser import HTMLParser
from datetime import datetime, timedelta
try:
from... | {
"repo_name": "ocefpaf/utilities",
"path": "utilities/secoora.py",
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"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import datetime
from functools import wraps
from cytoolz import nth
from itertools import islice
from collections import Iterator
from multiprocessing.pool import ThreadPool
# these are used throughout blaze, don't remove them
from odo.utils ... | {
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"path": "blaze/utils.py",
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"alpha_frac": 0.5600948867,
"autogenerated": false,
"ratio": 3.3634751773049647,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
import os
import datetime
import re
from weakref import WeakKeyDictionary
try:
from cytoolz import nth, memoize, unique, concat, first, drop
except ImportError:
from toolz import nth, memoize, unique, concat, first, drop
from toolz.curried.oper... | {
"repo_name": "cpcloud/blaze",
"path": "blaze/utils.py",
"copies": "2",
"size": "6646",
"license": "bsd-3-clause",
"hash": -9206644118380723000,
"line_mean": 22.6512455516,
"line_max": 79,
"alpha_frac": 0.5723743605,
"autogenerated": false,
"ratio": 3.494216614090431,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
import os
import datetime
import re
from bs4 import BeautifulSoup
from sunpy.extern import six
from sunpy.extern.six.moves import range, zip
from sunpy.extern.six.moves.urllib.request import urlopen
__all__ = ['Scraper']
# regular expressions to conve... | {
"repo_name": "Alex-Ian-Hamilton/sunpy",
"path": "sunpy/util/scraper.py",
"copies": "1",
"size": "8456",
"license": "bsd-2-clause",
"hash": -8400999742058093000,
"line_mean": 37.4363636364,
"line_max": 98,
"alpha_frac": 0.5413907285,
"autogenerated": false,
"ratio": 4.236472945891784,
"config_t... |
from __future__ import absolute_import, division, print_function
import os
import datetime
import re
try:
from cytoolz import nth
except ImportError:
from toolz import nth
from toolz.curried.operator import setitem
from itertools import islice
from collections import Iterator
from multiprocessing.pool impor... | {
"repo_name": "ChinaQuants/blaze",
"path": "blaze/utils.py",
"copies": "1",
"size": "5636",
"license": "bsd-3-clause",
"hash": 1050704111056536400,
"line_mean": 22.4833333333,
"line_max": 79,
"alpha_frac": 0.5746983676,
"autogenerated": false,
"ratio": 3.4386821232458815,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import datetime
try:
from cytoolz import nth
except ImportError:
from toolz import nth
from itertools import islice
from collections import Iterator
from multiprocessing.pool import ThreadPool
# these are used throughout blaze, don't... | {
"repo_name": "maxalbert/blaze",
"path": "blaze/utils.py",
"copies": "10",
"size": "3822",
"license": "bsd-3-clause",
"hash": 2652509503612707000,
"line_mean": 22.4478527607,
"line_max": 79,
"alpha_frac": 0.5596546311,
"autogenerated": false,
"ratio": 3.3703703703703702,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import fnmatch
import numpy as np
from scipy.misc import imread, imresize, imsave
PROJECT_NAME = "Cervical Cancer Screening"
PROJECT_FOLDER_PATH = os.path.join(os.path.expanduser("~"),
"Documents/datasets", P... | {
"repo_name": "nixingyang/Kaggle-Competitions",
"path": "Cervical Cancer Screening/data_preprocessing.py",
"copies": "1",
"size": "2963",
"license": "mit",
"hash": 9166761521032873000,
"line_mean": 40.1527777778,
"line_max": 93,
"alpha_frac": 0.6422544718,
"autogenerated": false,
"ratio": 3.65802... |
from __future__ import absolute_import, division, print_function
import os
import glob
try:
import pydicom
except ImportError:
import dicom as pydicom
import numpy as np
from glue.logger import logger
from glue.core.data import Data
from glue.config import data_factory
__all__ = ['is_dicom', 'dicom_reader'... | {
"repo_name": "glue-viz/glue-medical",
"path": "glue_medical/dicom_factory.py",
"copies": "1",
"size": "3969",
"license": "bsd-3-clause",
"hash": -8404836052072223000,
"line_mean": 28.4,
"line_max": 84,
"alpha_frac": 0.6084656085,
"autogenerated": false,
"ratio": 3.9219367588932808,
"config_tes... |
from __future__ import absolute_import, division, print_function
import os
import imp
import sys
from collections import namedtuple
from glue.logger import logger
"""
Objects used to configure Glue at runtime.
"""
__all__ = ['Registry', 'SettingRegistry', 'ExporterRegistry',
'ColormapRegistry', 'DataFacto... | {
"repo_name": "saimn/glue",
"path": "glue/config.py",
"copies": "1",
"size": "21193",
"license": "bsd-3-clause",
"hash": -358768000017613400,
"line_mean": 30.2581120944,
"line_max": 100,
"alpha_frac": 0.6271410371,
"autogenerated": false,
"ratio": 4.2411446868120874,
"config_test": true,
"has... |
from __future__ import (absolute_import, division, print_function)
import os
import importlib
import time
import glob
import numpy as np
from copy import copy
import astropy.io.fits as astropy_fitsio
from astropy.table import Table, Column
import astropy.table
from desitarget.targetmask import desi_mask
from ... | {
"repo_name": "desihub/fiberassign",
"path": "old/py/desitarget.py",
"copies": "1",
"size": "27168",
"license": "bsd-3-clause",
"hash": 5347282858880854000,
"line_mean": 44.8918918919,
"line_max": 161,
"alpha_frac": 0.6337971143,
"autogenerated": false,
"ratio": 3.6748275395644527,
"config_test... |
from __future__ import absolute_import, division, print_function
import os
import json
from glue.core import Subset
DISPATCH = {}
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 to save
:param label: Tab label
... | {
"repo_name": "saimn/glue",
"path": "glue/plugins/export_d3po.py",
"copies": "1",
"size": "8913",
"license": "bsd-3-clause",
"hash": -7839673022892680000,
"line_mean": 27.5673076923,
"line_max": 121,
"alpha_frac": 0.6159542242,
"autogenerated": false,
"ratio": 3.669411280362289,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import os
import json
from itertools import islice
import datashape
from dynd import nd
from collections import Iterator
from datashape.discovery import discover
from datashape import var
from ..utils import partition_all, nth, nth_list, ndget
from .. ... | {
"repo_name": "vitan/blaze",
"path": "blaze/data/json.py",
"copies": "1",
"size": "6612",
"license": "bsd-3-clause",
"hash": 326317375781498750,
"line_mean": 29.1917808219,
"line_max": 78,
"alpha_frac": 0.5499092559,
"autogenerated": false,
"ratio": 4.007272727272727,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
import os
import json
from itertools import islice
import datashape
from dynd import nd
from ..utils import partition_all, nth
from .. import py2help
from ..py2help import _inttypes
from .core import DataDescriptor, isdimension
from .utils import coerc... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/data/json.py",
"copies": "1",
"size": "4702",
"license": "bsd-3-clause",
"hash": -5262594590482127000,
"line_mean": 28.7594936709,
"line_max": 78,
"alpha_frac": 0.5621012335,
"autogenerated": false,
"ratio": 3.9612468407750634,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
import os
import logging
import platform
import traceback
import numpy as np
from qtpy import QtCore, QtGui, QtWidgets, compat
from qtpy.QtCore import Qt
from glue.external.six.moves import range as xrange
from glue.core.exceptions import Incompatible... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/plugins/tools/spectrum_tool/qt/spectrum_tool.py",
"copies": "1",
"size": "31628",
"license": "bsd-3-clause",
"hash": -2655220350510963000,
"line_mean": 30.6913827655,
"line_max": 101,
"alpha_frac": 0.5857784242,
"autogenerated": false,
"ratio": ... |
from __future__ import absolute_import, division, print_function
import os
import logging
import traceback
import numpy as np
from qtpy import QtCore, QtGui, QtWidgets, compat
from qtpy.QtCore import Qt
from glue.external.six.moves import range as xrange
from glue.core.aggregate import Aggregate
from glue.core.exce... | {
"repo_name": "saimn/glue",
"path": "glue/plugins/tools/spectrum_tool/qt/spectrum_tool.py",
"copies": "1",
"size": "30416",
"license": "bsd-3-clause",
"hash": -4290394163628995600,
"line_mean": 30.5191709845,
"line_max": 95,
"alpha_frac": 0.5851854287,
"autogenerated": false,
"ratio": 3.918072909... |
from __future__ import absolute_import, division, print_function
import os
import math
import numpy as np
import torch
import torch.legacy.optim as legacyOptim
import torch.nn.functional as F
import torch.multiprocessing as mp
from torch.autograd import Variable
from envs import create_atari_env
from model import E... | {
"repo_name": "lolz0r/pytorch-es",
"path": "train.py",
"copies": "1",
"size": "12054",
"license": "mit",
"hash": 8557483933046480000,
"line_mean": 38.1363636364,
"line_max": 94,
"alpha_frac": 0.5398208064,
"autogenerated": false,
"ratio": 3.800126103404792,
"config_test": false,
"has_no_keywo... |
from __future__ import absolute_import, division, print_function
import os
import matplotlib
from matplotlib.backends.backend_qt4 import NavigationToolbar2QT
from ..external.qt import QtCore, QtGui
from ..external.qt.QtGui import QMenu
from ..external.qt.QtCore import Qt, Signal
from ..core.callback_property import ad... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/glue_toolbar.py",
"copies": "1",
"size": "8275",
"license": "bsd-3-clause",
"hash": -1227912194831938800,
"line_mean": 31.32421875,
"line_max": 78,
"alpha_frac": 0.5749848943,
"autogenerated": false,
"ratio": 4.005324298160697,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import os
import networkx as nx
from math import log
from toolz import pluck
from .convert import convert, ooc_types
from .append import append
from .utils import cls_name
# Write out as dot
def dot_graph(filename='conversions'):
# Edges from Conv... | {
"repo_name": "cowlicks/odo",
"path": "odo/dot.py",
"copies": "10",
"size": "1363",
"license": "bsd-3-clause",
"hash": 3820760647684321300,
"line_mean": 26.26,
"line_max": 68,
"alpha_frac": 0.5964783566,
"autogenerated": false,
"ratio": 3.140552995391705,
"config_test": false,
"has_no_keyword... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
from dynd import nd
import datashape
from . import DDesc, Capabilities
from .dynd_data_descriptor import DyND_DDesc
from .stream_data_descriptor import Stream_DDesc
from ..optional_packages import netCDF4_is_here
if netCDF4_... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/datadescriptor/netcdf4_data_descriptor.py",
"copies": "1",
"size": "4286",
"license": "bsd-3-clause",
"hash": 5152880818035013000,
"line_mean": 32.7480314961,
"line_max": 76,
"alpha_frac": 0.5732617825,
"autogenerated": false,
"ratio": 3.7012089810... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
from dynd import nd
import datashape
from . import DDesc, Capabilities
from ..optional_packages import tables_is_here
if tables_is_here:
import tables as tb
from .dynd_data_descriptor import DyND_DDesc
# WARNING! PyTab... | {
"repo_name": "talumbau/blaze",
"path": "blaze/datadescriptor/hdf5_data_descriptor.py",
"copies": "1",
"size": "4019",
"license": "bsd-3-clause",
"hash": 6067877637165708000,
"line_mean": 33.0593220339,
"line_max": 74,
"alpha_frac": 0.5956705648,
"autogenerated": false,
"ratio": 3.569271758436945... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
from matplotlib import cm
from qtpy import QtWidgets, QtGui
from glue.core.util import colorize_subsets, facet_subsets
from glue.utils.qt import load_ui
from glue.utils.qt.widget_properties import (ButtonProperty, FloatLineP... | {
"repo_name": "saimn/glue",
"path": "glue/dialogs/subset_facet/qt/subset_facet.py",
"copies": "4",
"size": "3234",
"license": "bsd-3-clause",
"hash": -6001564366702185000,
"line_mean": 33.0421052632,
"line_max": 85,
"alpha_frac": 0.6428571429,
"autogenerated": false,
"ratio": 3.8091872791519434,
... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import json
from PIL import Image
from ..datasets import OTB
from ..utils.metrics import rect_iou, center_error
from ..utils.viz import show_frame
class ExperimentOTB(objec... | {
"repo_name": "got-10k/toolkit",
"path": "got10k/experiments/otb.py",
"copies": "1",
"size": "12541",
"license": "mit",
"hash": 4123912430474350000,
"line_mean": 39.7175324675,
"line_max": 92,
"alpha_frac": 0.5349653138,
"autogenerated": false,
"ratio": 3.8375152998776008,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
import pandas as pd
from gensim.models import KeyedVectors
from string import ascii_lowercase, punctuation
# Dataset
PROJECT_NAME = "Quora Question Pairs"
PROJECT_FOLDER_PATH = os.path.join(os.path.expanduser("~"), "Document... | {
"repo_name": "nixingyang/Kaggle-Face-Verification",
"path": "Quora Question Pairs/text_cleaning.py",
"copies": "1",
"size": "4509",
"license": "mit",
"hash": 4252468084966441500,
"line_mean": 51.4302325581,
"line_max": 184,
"alpha_frac": 0.7039254824,
"autogenerated": false,
"ratio": 3.377528089... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
from qtpy.QtCore import Qt
from qtpy import QtCore, QtGui, QtWidgets
from matplotlib.colors import ColorConverter
from glue.utils.qt import get_qapp
from glue.config import viewer_tool
from glue.core.layer_artist import Lay... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/viewers/table/qt/data_viewer.py",
"copies": "1",
"size": "10792",
"license": "bsd-3-clause",
"hash": -1967949678296990500,
"line_mean": 32.9371069182,
"line_max": 99,
"alpha_frac": 0.610544848,
"autogenerated": false,
"ratio": 4.090978013646702,... |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
from qtpy.QtCore import Qt
from qtpy import QtCore, QtGui, QtWidgets
from qtpy import PYQT5
from matplotlib.colors import ColorConverter
from glue.utils.qt import get_qapp
from glue.config import viewer_tool
from glue.core.... | {
"repo_name": "saimn/glue",
"path": "glue/viewers/table/qt/viewer_widget.py",
"copies": "1",
"size": "10223",
"license": "bsd-3-clause",
"hash": 3724234378972284400,
"line_mean": 32.0841423948,
"line_max": 92,
"alpha_frac": 0.6126381688,
"autogenerated": false,
"ratio": 4.071286340103544,
"conf... |
from __future__ import absolute_import, division, print_function
import os
import numpy
import json
import sys
import re
import scipy.signal
import logging
import ast
import inspect
import collections
import numbers
try:
import cPickle as pickle
except:
import pickle
from collections import namedtuple, Ordered... | {
"repo_name": "danithaca/mxnet",
"path": "example/reinforcement-learning/dqn/utils.py",
"copies": "16",
"size": "10786",
"license": "apache-2.0",
"hash": -5272291885398858000,
"line_mean": 31.1011904762,
"line_max": 103,
"alpha_frac": 0.6153346931,
"autogenerated": false,
"ratio": 3.5433639947437... |
from __future__ import absolute_import, division, print_function
import os
import os.path
import re
from subprocess import Popen, PIPE
from changes.constants import PROJECT_ROOT
from changes.db.utils import create_or_update, get_or_create
from changes.models import Author, Revision
class CommandError(Exception):
... | {
"repo_name": "alex/changes",
"path": "changes/vcs/base.py",
"copies": "1",
"size": "4965",
"license": "apache-2.0",
"hash": -4475856234694951400,
"line_mean": 26.4309392265,
"line_max": 72,
"alpha_frac": 0.5597180262,
"autogenerated": false,
"ratio": 4.0763546798029555,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import os.path
import re
import shutil
import tempfile
from subprocess import Popen, PIPE, check_call, CalledProcessError
from typing import Any, List, Optional, Set, Union # NOQA
from changes.constants import PROJECT_ROOT
from changes.db.ut... | {
"repo_name": "dropbox/changes",
"path": "changes/vcs/base.py",
"copies": "1",
"size": "14387",
"license": "apache-2.0",
"hash": -1313017522074860800,
"line_mean": 31.6977272727,
"line_max": 94,
"alpha_frac": 0.5936609439,
"autogenerated": false,
"ratio": 4.264078245406046,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
import os
import os.path
import re
import shutil
import tempfile
from subprocess import Popen, PIPE, check_call, CalledProcessError
from changes.constants import PROJECT_ROOT
from changes.db.utils import create_or_update, get_or_create, try_create
from... | {
"repo_name": "bowlofstew/changes",
"path": "changes/vcs/base.py",
"copies": "2",
"size": "10849",
"license": "apache-2.0",
"hash": -1072897624959513100,
"line_mean": 31.4820359281,
"line_max": 100,
"alpha_frac": 0.5811595539,
"autogenerated": false,
"ratio": 4.300039635354737,
"config_test": f... |
from __future__ import (absolute_import, division, print_function)
import os
import os.path
import unittest
from PIL import Image
import imagehash
class TestImageHash(unittest.TestCase):
@staticmethod
def get_data_image(fname=None):
if fname is None:
fname = 'imagehash.png'
dnam... | {
"repo_name": "JohannesBuchner/imagehash",
"path": "tests/utils.py",
"copies": "1",
"size": "2788",
"license": "bsd-2-clause",
"hash": -7766981027278081000,
"line_mean": 40.6119402985,
"line_max": 79,
"alpha_frac": 0.5638450502,
"autogenerated": false,
"ratio": 4.142644873699852,
"config_test":... |
from __future__ import absolute_import, division, print_function
import os
import pickle
from six.moves import urllib
import tflearn
from tflearn.data_utils import *
path = "alltext.txt"
char_idx_file = 'char_idx.pickle'
maxlen = 25
char_idx = None
X, Y, char_idx = textfile_to_semi_redundant_sequences(path, seq_m... | {
"repo_name": "aicentral/writestyle",
"path": "RunThis.py",
"copies": "1",
"size": "1468",
"license": "mit",
"hash": 5609450723688931000,
"line_mean": 31.6222222222,
"line_max": 92,
"alpha_frac": 0.6457765668,
"autogenerated": false,
"ratio": 3.0647181628392484,
"config_test": false,
"has_no_... |
from __future__ import absolute_import, division, print_function
import os
import pickle
from six.moves import urllib
import tflearn
from tflearn.data_utils import *
path = "../../data/shakespeare/shakespeare_input.txt"
char_idx_file = '../../data/shakespeare/char_idx.pickle'
if not os.path.isfile(path):
urllib... | {
"repo_name": "hashware/tflearn-learn",
"path": "examples/nlp/lstm_generator_shakespeare.py",
"copies": "1",
"size": "1906",
"license": "mit",
"hash": -8632769314464578000,
"line_mean": 34.9622641509,
"line_max": 138,
"alpha_frac": 0.648478489,
"autogenerated": false,
"ratio": 3.069243156199678,
... |
from __future__ import absolute_import, division, print_function
import os
import pickle
from six.moves import urllib
import tflearn
from tflearn.data_utils import *
path = "great gatsby.txt"
char_idx_file = 'char_idx.pickle'
maxlen = 25
char_idx = None
if os.path.isfile(char_idx_file):
print('Loading previous c... | {
"repo_name": "arcyfelix/ML-DL-AI",
"path": "Supervised Learning/NLP/Deep Gatsby/gatsby_gen.py",
"copies": "1",
"size": "1624",
"license": "apache-2.0",
"hash": 7684173786753657000,
"line_mean": 32.1428571429,
"line_max": 79,
"alpha_frac": 0.631773399,
"autogenerated": false,
"ratio": 3.129094412... |
from __future__ import absolute_import, division, print_function
import os
import pickle
import shutil
from collections import Mapping, OrderedDict
from typing import Any, Text
import numpy as np
from six import string_types
from six.moves import cPickle, range, zip
from bigarray import MmapArray, MmapArrayWriter, r... | {
"repo_name": "imito/odin",
"path": "odin/fuel/dataset.py",
"copies": "1",
"size": "19397",
"license": "mit",
"hash": -8876937914407351000,
"line_mean": 34.3959854015,
"line_max": 81,
"alpha_frac": 0.5524565654,
"autogenerated": false,
"ratio": 3.634438823308975,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
import os
import pickle
import shutil
import warnings
from collections import OrderedDict, defaultdict
from enum import Enum
from numbers import Number
import numba as nb
import numpy as np
from scipy.io import wavfile
from odin import fuel as F
from o... | {
"repo_name": "imito/odin",
"path": "examples/nist_sre/helpers.py",
"copies": "1",
"size": "40884",
"license": "mit",
"hash": 722396515581426400,
"line_mean": 38.8868292683,
"line_max": 105,
"alpha_frac": 0.5609773995,
"autogenerated": false,
"ratio": 3.407567927987998,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import pickle
import numpy as np
from bigarray import MmapArray, MmapArrayWriter
from odin.ml.base import BaseEstimator, DensityMixin, TransformerMixin
from odin.ml.gmm_tmat import GMM, Tmatrix, _split_jobs
from odin.utils import (Progbar, Un... | {
"repo_name": "imito/odin",
"path": "odin/ml/ivector.py",
"copies": "1",
"size": "17873",
"license": "mit",
"hash": 4750664660206398000,
"line_mean": 33.908203125,
"line_max": 85,
"alpha_frac": 0.5169809209,
"autogenerated": false,
"ratio": 3.6180161943319837,
"config_test": false,
"has_no_ke... |
from __future__ import absolute_import, division, print_function
import os
import platform
import numpy as np
from matplotlib.colors import ColorConverter
from qtpy import QtWidgets
from glue.core.message import SettingsChangeMessage
from glue.utils import nonpartial
from glue.utils.qt import load_ui, ColorProperty,... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/app/qt/preferences.py",
"copies": "1",
"size": "4644",
"license": "bsd-3-clause",
"hash": 2006968099715392000,
"line_mean": 34.1818181818,
"line_max": 102,
"alpha_frac": 0.6300602929,
"autogenerated": false,
"ratio": 3.800327332242226,
"config... |
from __future__ import absolute_import, division, print_function
import os
import pytest
from mock import patch
from glue.tests.helpers import requires_qt
from ..core import Data
from ..main import die_on_error, load_data_files, main, start_glue
@requires_qt
def test_die_on_error_exception():
"""Decorator shou... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/tests/test_main.py",
"copies": "2",
"size": "4262",
"license": "bsd-3-clause",
"hash": -4296110484367957500,
"line_mean": 30.1094890511,
"line_max": 78,
"alpha_frac": 0.5516189582,
"autogenerated": false,
"ratio": 3.5605680868838765,
"config_t... |
from __future__ import absolute_import, division, print_function
import os
import pytest
tb = pytest.importorskip('tables')
import numpy as np
from blaze.compute.core import compute
from blaze.expr import symbol
from blaze import drop, discover, create_index
from blaze.utils import tmpfile
t = symbol('t', 'var * {... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/compute/tests/test_pytables_compute.py",
"copies": "3",
"size": "7685",
"license": "bsd-3-clause",
"hash": 101404500487275490,
"line_mean": 26.9454545455,
"line_max": 78,
"alpha_frac": 0.5854261548,
"autogenerated": false,
"ratio": 3.2535986452159... |
from __future__ import absolute_import, division, print_function
import os
import re
import json
import time
import piexif
import requests
import argparse
from datetime import datetime
# http://bugs.python.org/issue22377
# https://docs.python.org/2/library/time.html
os.environ["TZ"] = "CST"
time.tzset()
class Cooki... | {
"repo_name": "nixingyang/Miscellaneous-Projects",
"path": "Renren Albums/solution.py",
"copies": "1",
"size": "8152",
"license": "mit",
"hash": 7043418634954964000,
"line_mean": 34.4434782609,
"line_max": 160,
"alpha_frac": 0.5588812561,
"autogenerated": false,
"ratio": 3.883754168651739,
"con... |
from __future__ import absolute_import, division, print_function
import os
import re
import requests
import logging
from subprocess import Popen, PIPE
from .utils import parse_xml
from .env import CondaCreator
from .compatibility import FileNotFoundError, urlparse
from .exceptions import HDFSConfigException, KnitExce... | {
"repo_name": "NielsZeilemaker/knit",
"path": "knit/core.py",
"copies": "1",
"size": "8596",
"license": "bsd-3-clause",
"hash": -5972192433371652000,
"line_mean": 27.6533333333,
"line_max": 102,
"alpha_frac": 0.5348999535,
"autogenerated": false,
"ratio": 4.097235462345091,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
import os
import re
import shutil
import stat
def ensure_directory(directory, *args, **kwargs):
# Fail if the destination exists and it's not a directory
if not os.path.isdir(directory):
os.makedirs(directory, *args, **kwargs)
def cop... | {
"repo_name": "ionelmc/virtualenv",
"path": "virtualenv/_utils.py",
"copies": "1",
"size": "1837",
"license": "mit",
"hash": -1442255240079679200,
"line_mean": 33.6603773585,
"line_max": 92,
"alpha_frac": 0.6265650517,
"autogenerated": false,
"ratio": 3.867368421052632,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import re
import shutil
import string
import sys
import time
import unittest
from collections import defaultdict, namedtuple, OrderedDict
import numpy as np
import ray
import ray.test.test_functions as test_functions
import ray.test.test_util... | {
"repo_name": "Wapaul1/ray",
"path": "test/runtest.py",
"copies": "1",
"size": "63837",
"license": "apache-2.0",
"hash": 6193776593717088000,
"line_mean": 31.9566339701,
"line_max": 79,
"alpha_frac": 0.5427573351,
"autogenerated": false,
"ratio": 3.73709167544784,
"config_test": true,
"has_no... |
from __future__ import absolute_import, division, print_function
import os
import re
import subprocess
import sys
import decimal
from operator import attrgetter
from itertools import chain
from collections import Iterator
from datetime import datetime, date
from distutils.spawn import find_executable
import pandas a... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/sql.py",
"copies": "1",
"size": "25079",
"license": "bsd-3-clause",
"hash": 3755807654230929000,
"line_mean": 32.5729585007,
"line_max": 113,
"alpha_frac": 0.608038598,
"autogenerated": false,
"ratio": 3.7952481840193704,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import re
import subprocess
import uuid
import mmap
from contextlib import closing
from functools import partial
from distutils.spawn import find_executable
import sqlalchemy as sa
from sqlalchemy.ext.compiler import compiles
from sqlalchemy.... | {
"repo_name": "ywang007/odo",
"path": "odo/backends/sql_csv.py",
"copies": "1",
"size": "7714",
"license": "bsd-3-clause",
"hash": 5750614919694681000,
"line_mean": 37.1881188119,
"line_max": 82,
"alpha_frac": 0.5885403163,
"autogenerated": false,
"ratio": 4.142857142857143,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import os
import re
import sys
from os.path import isdir, isfile, join
from conda.compat import iteritems, PY3, text_type
from conda.utils import memoized, md5_file
import conda.config as cc
from conda.resolve import MatchSpec
from conda.cli.common impo... | {
"repo_name": "shastings517/conda-build",
"path": "conda_build/metadata.py",
"copies": "1",
"size": "16867",
"license": "bsd-3-clause",
"hash": -4633069554477546000,
"line_mean": 33.2825203252,
"line_max": 117,
"alpha_frac": 0.5270646825,
"autogenerated": false,
"ratio": 3.8247165532879817,
"co... |
from __future__ import absolute_import, division, print_function
import os
import re
import time
import warnings
from collections import OrderedDict
from six import string_types
from six.moves.urllib.request import urlretrieve
from six.moves.urllib.error import HTTPError, URLError
from six.moves.urllib.parse import ur... | {
"repo_name": "kbg/drms",
"path": "drms/client.py",
"copies": "1",
"size": "45619",
"license": "mit",
"hash": -6056168776419825000,
"line_mean": 34.7235708692,
"line_max": 78,
"alpha_frac": 0.5533440014,
"autogenerated": false,
"ratio": 4.381386861313868,
"config_test": false,
"has_no_keyword... |
from __future__ import absolute_import, division, print_function
import os
import re
from qtpy import QtCore, QtWidgets
from qtpy.QtCore import Qt
from glue.core import parse
from glue import core
from glue.utils import nonpartial
from glue.utils.qt import load_ui
from glue.utils.qt import CompletionTextEdit
__all__... | {
"repo_name": "saimn/glue",
"path": "glue/dialogs/custom_component/qt/widget.py",
"copies": "3",
"size": "9093",
"license": "bsd-3-clause",
"hash": -950441107761636700,
"line_mean": 31.1307420495,
"line_max": 101,
"alpha_frac": 0.5836357638,
"autogenerated": false,
"ratio": 4.153951576062129,
"... |
from __future__ import absolute_import, division, print_function
import os
import requests
import logging
from functools import wraps
from subprocess import Popen, PIPE
from .utils import shell_out
from .exceptions import YARNException
logger = logging.getLogger(__name__)
def check_app_id(func):
@wraps(func)
... | {
"repo_name": "NielsZeilemaker/knit",
"path": "knit/yarn_api.py",
"copies": "1",
"size": "4820",
"license": "bsd-3-clause",
"hash": 1266856071328565800,
"line_mean": 27.5207100592,
"line_max": 94,
"alpha_frac": 0.5298755187,
"autogenerated": false,
"ratio": 3.9411283728536386,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
import os
import shutil
from os.path import expanduser
import tarfile
import requests
from appr import SYSTEM
from appr.commands.command_base import CommandBase
from appr.utils import mkdir_p, get_current_script_path
LOCAL_DIR = os.path.dirname(__file... | {
"repo_name": "app-registry/appr",
"path": "appr/commands/plugins.py",
"copies": "2",
"size": "3024",
"license": "apache-2.0",
"hash": -1903250345991551500,
"line_mean": 28.9405940594,
"line_max": 97,
"alpha_frac": 0.6226851852,
"autogenerated": false,
"ratio": 3.4718714121699197,
"config_test"... |
from __future__ import (absolute_import, division, print_function)
import os
import shutil
import subprocess
import sys
import tempfile
import warnings
import glob
from distutils.errors import CompileError
from distutils.sysconfig import get_config_var
from .util import (
get_abspath, make_dirs, copy, Glob, Arbit... | {
"repo_name": "kaushik94/sympy",
"path": "sympy/utilities/_compilation/compilation.py",
"copies": "1",
"size": "20653",
"license": "bsd-3-clause",
"hash": 2992897030267556400,
"line_mean": 31.6787974684,
"line_max": 103,
"alpha_frac": 0.59967075,
"autogenerated": false,
"ratio": 3.830304154302670... |
from __future__ import absolute_import, division, print_function
import os
import signal
import subprocess
from contextlib import contextmanager
try:
from urllib import urlopen
from urlparse import urlparse
except ImportError:
from urllib.request import urlopen
from urllib.parse import urlparse
# Scie... | {
"repo_name": "ocefpaf/utilities",
"path": "utilities/pytools.py",
"copies": "2",
"size": "12082",
"license": "mit",
"hash": 9135481297576960000,
"line_mean": 27.0976744186,
"line_max": 78,
"alpha_frac": 0.5312862109,
"autogenerated": false,
"ratio": 3.5091489979668893,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import socket
import subprocess
import sys
import time
class StripeMock(object):
PATH_SPEC = (
os.path.dirname(os.path.realpath(__file__)) + "/openapi/spec3.json"
)
PATH_FIXTURES = (
os.path.dirname(os.path.realpat... | {
"repo_name": "stripe/stripe-python",
"path": "tests/stripe_mock.py",
"copies": "1",
"size": "1976",
"license": "mit",
"hash": -3566392560669174000,
"line_mean": 23.3950617284,
"line_max": 79,
"alpha_frac": 0.5278340081,
"autogenerated": false,
"ratio": 4.016260162601626,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import stat
import sys
from os.path import isfile, join, expanduser
from conda_build.conda_interface import root_dir
from glob2 import glob
def find_executable(executable, prefix=None, all_matches=False):
# dir_paths is referenced as a m... | {
"repo_name": "pelson/conda-build",
"path": "conda_build/os_utils/external.py",
"copies": "3",
"size": "2520",
"license": "bsd-3-clause",
"hash": 3053520997627999700,
"line_mean": 35.5217391304,
"line_max": 90,
"alpha_frac": 0.5384920635,
"autogenerated": false,
"ratio": 4.1042345276872965,
"co... |
from __future__ import absolute_import, division, print_function
import os
import subprocess
import imp
from setuptools import setup, find_packages
# Version info
MAJOR = 0
MINOR = 4
MICRO = 0
ISRELEASED = False
VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
CLASSIFIERS = ["Development Status :: 3 - Alpha",
... | {
"repo_name": "altair-viz/schemapi",
"path": "setup.py",
"copies": "2",
"size": "4629",
"license": "bsd-3-clause",
"hash": 7542510371094770000,
"line_mean": 30.4897959184,
"line_max": 85,
"alpha_frac": 0.5893281486,
"autogenerated": false,
"ratio": 3.9905172413793104,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
import os
import subprocess
import sys
import yaml
from appr.client import ApprClient
from appr.pack import ApprPackage
from appr.utils import mkdir_p, parse_package_name, parse_version_req
DEFAULT_CHARTS = "appr_charts"
class Helm(object):
def ... | {
"repo_name": "app-registry/appr",
"path": "appr/plugins/helm.py",
"copies": "2",
"size": "3480",
"license": "apache-2.0",
"hash": 6821989980123252000,
"line_mean": 37.2417582418,
"line_max": 97,
"alpha_frac": 0.5804597701,
"autogenerated": false,
"ratio": 4.128113879003559,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import os
import subprocess
import uuid
import mmap
from contextlib import closing
from functools import partial
from distutils.spawn import find_executable
import sqlalchemy as sa
from sqlalchemy.ext.compiler import compiles
from sqlalchemy.sql.elemen... | {
"repo_name": "cowlicks/odo",
"path": "odo/backends/sql_csv.py",
"copies": "1",
"size": "7473",
"license": "bsd-3-clause",
"hash": 6891637471659927000,
"line_mean": 36.7424242424,
"line_max": 82,
"alpha_frac": 0.5903920781,
"autogenerated": false,
"ratio": 4.149361465852304,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
import os
import subprocess
import weakref
import numpy as np
from pymor.algorithms.timestepping import ExplicitEulerTimeStepper
from pymor.core.interfaces import ImmutableInterface
from pymor.discretizations.basic import InstationaryDiscretization
fro... | {
"repo_name": "pymor/dune-burgers-demo",
"path": "dune-burgers/pymor-wrapper/dune_burgers.py",
"copies": "1",
"size": "7529",
"license": "bsd-2-clause",
"hash": -3313495520445588500,
"line_mean": 32.1674008811,
"line_max": 109,
"alpha_frac": 0.6093770753,
"autogenerated": false,
"ratio": 3.614498... |
from __future__ import absolute_import, division, print_function
import os
import sys
from os.path import isfile, join, expanduser
import conda.config as cc
from conda_build.config import config
def find_executable(executable):
# dir_paths is referenced as a module-level variable
# in other code
global ... | {
"repo_name": "shastings517/conda-build",
"path": "conda_build/external.py",
"copies": "5",
"size": "1075",
"license": "bsd-3-clause",
"hash": 6477200613203948000,
"line_mean": 30.6176470588,
"line_max": 64,
"alpha_frac": 0.568372093,
"autogenerated": false,
"ratio": 3.9667896678966788,
"config... |
from __future__ import absolute_import, division, print_function
import os
import sys
from os.path import join, isdir, isfile, abspath, expanduser
from shutil import copytree, copy2
from subprocess import check_call, Popen, PIPE, CalledProcessError
import locale
from conda.fetch import download
from conda.utils impor... | {
"repo_name": "sandhujasmine/conda-build",
"path": "conda_build/source.py",
"copies": "1",
"size": "9958",
"license": "bsd-3-clause",
"hash": 42665194595769784,
"line_mean": 32.1933333333,
"line_max": 100,
"alpha_frac": 0.5726049408,
"autogenerated": false,
"ratio": 3.4516464471403814,
"config_... |
from __future__ import absolute_import, division, print_function
import os
import sys
from os.path import join, isdir, isfile, abspath, expanduser
from shutil import copytree, ignore_patterns, copy2
from subprocess import check_call, Popen, PIPE
from conda.fetch import download
from conda.utils import hashsum_file
f... | {
"repo_name": "takluyver/conda-build",
"path": "conda_build/source.py",
"copies": "1",
"size": "8418",
"license": "bsd-3-clause",
"hash": -7404552572830516000,
"line_mean": 31.7548638132,
"line_max": 100,
"alpha_frac": 0.5773342837,
"autogenerated": false,
"ratio": 3.3902537253322595,
"config_t... |
from __future__ import absolute_import, division, print_function
import os
import sys
import ctypes
import traceback
import idaapi
import idc
from ctypes import (c_int, c_void_p, create_string_buffer, cast)
from PyQt5.QtCore import Qt, QTimer, QObject
from PyQt5.QtGui import QShowEvent
from PyQt5.QtWidgets import QW... | {
"repo_name": "zyantific/IDASkins",
"path": "plugins/idaskins/clrapplier.py",
"copies": "1",
"size": "3725",
"license": "mit",
"hash": -6940119221450813000,
"line_mean": 28.8,
"line_max": 84,
"alpha_frac": 0.6238926174,
"autogenerated": false,
"ratio": 3.6235408560311284,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import sys
import random
import subprocess
import socket
import time
import blaze
import datashape
import unittest
from blaze.catalog.tests.catalog_harness import CatalogHarness
from blaze.datadescriptor import dd_as_py, RemoteDataDescriptor
... | {
"repo_name": "zzmjohn/blaze",
"path": "blaze/io/server/tests/test_server.py",
"copies": "7",
"size": "2901",
"license": "bsd-3-clause",
"hash": -836406605611010000,
"line_mean": 36.1923076923,
"line_max": 76,
"alpha_frac": 0.5480868666,
"autogenerated": false,
"ratio": 4.012448132780083,
"conf... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
from os.path import dirname, isdir, isfile, join, exists
import conda.config as cc
from conda.compat import iteritems
from conda_build.config import config
from conda_build import environ
from conda_build import sourc... | {
"repo_name": "takluyver/conda-build",
"path": "conda_build/windows.py",
"copies": "2",
"size": "3589",
"license": "bsd-3-clause",
"hash": -2797613596972959000,
"line_mean": 29.1596638655,
"line_max": 74,
"alpha_frac": 0.5408191697,
"autogenerated": false,
"ratio": 3.730769230769231,
"config_te... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
import requests
import logging
import zipfile
from subprocess import Popen, PIPE
from .exceptions import CondaException
from .utils import shell_out
mini_file = "Miniconda-latest.sh"
miniconda_urls = {"linux": "https:... | {
"repo_name": "NielsZeilemaker/knit",
"path": "knit/env.py",
"copies": "1",
"size": "6466",
"license": "bsd-3-clause",
"hash": 3025558000420495400,
"line_mean": 27.4845814978,
"line_max": 99,
"alpha_frac": 0.559696876,
"autogenerated": false,
"ratio": 3.862604540023895,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
import tarfile
import zipfile
import subprocess
from os.path import dirname, getmtime, getsize, isdir, join
from conda.utils import md5_file
from conda.compat import PY3
from conda_build import external
# Backwards c... | {
"repo_name": "takluyver/conda-build",
"path": "conda_build/utils.py",
"copies": "1",
"size": "2219",
"license": "bsd-3-clause",
"hash": 6269701412845278000,
"line_mean": 24.5057471264,
"line_max": 68,
"alpha_frac": 0.5822442542,
"autogenerated": false,
"ratio": 3.4086021505376345,
"config_test... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
import tarfile
import zipfile
import subprocess
import operator
from os.path import dirname, getmtime, getsize, isdir, join
from collections import defaultdict
from conda.utils import md5_file
from conda.compat import ... | {
"repo_name": "sandhujasmine/conda-build",
"path": "conda_build/utils.py",
"copies": "1",
"size": "5174",
"license": "bsd-3-clause",
"hash": 3072997189865280000,
"line_mean": 27.4285714286,
"line_max": 99,
"alpha_frac": 0.5566293003,
"autogenerated": false,
"ratio": 3.449333333333333,
"config_t... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
import tarfile
import zipfile
import subprocess
import operator
import fnmatch
from os.path import dirname, getmtime, getsize, isdir, join
from collections import defaultdict
from conda.utils import md5_file
from conda... | {
"repo_name": "ilastik/conda-build",
"path": "conda_build/utils.py",
"copies": "2",
"size": "5465",
"license": "bsd-3-clause",
"hash": -2602475588564392000,
"line_mean": 27.1701030928,
"line_max": 99,
"alpha_frac": 0.5557182068,
"autogenerated": false,
"ratio": 3.441435768261965,
"config_test":... |
from __future__ import absolute_import, division, print_function
import os
import sys
import shutil
import tarfile
import zipfile
import subprocess
import operator
import time
from os.path import dirname, getmtime, getsize, isdir, join
from collections import defaultdict
from conda.utils import md5_file
from conda.c... | {
"repo_name": "rmcgibbo/conda-build",
"path": "conda_build/utils.py",
"copies": "2",
"size": "7618",
"license": "bsd-3-clause",
"hash": 8918207048973063000,
"line_mean": 31.0084033613,
"line_max": 99,
"alpha_frac": 0.545287477,
"autogenerated": false,
"ratio": 3.9146968139773897,
"config_test":... |
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