text stringlengths 0 1.05M | meta dict |
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from __future__ import absolute_import, division, print_function
from functools import wraps
__all__ = ['memoize', 'singleton', 'memoize_attr_check']
def _make_key(args, kwargs):
return args, frozenset(kwargs.items())
def memoize(func):
"""Save results of function calls to avoid repeated calculation"""
... | {
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from __future__ import absolute_import, division, print_function
from functools import wraps
import numpy as np
from matplotlib.patches import Polygon, Rectangle, Ellipse, PathPatch
from matplotlib.patches import Path as mplPath
from matplotlib.transforms import IdentityTransform, blended_transform_factory
import cop... | {
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"path": "glue/core/roi.py",
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... |
from __future__ import absolute_import, division, print_function
from functools import wraps
__all__ = ['memoize', 'singleton', 'memoize_attr_check']
def _make_key(args, kwargs):
return args, frozenset(kwargs.items())
def memoize(func):
"""Save results of function calls to avoid repeated calculation"""
... | {
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"path": "glue/core/decorators.py",
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"config_te... |
from __future__ import absolute_import, division, print_function
from functools import wraps, partial
import traceback
from .data_collection import DataCollection
from .data_factories import load_data
from . import command
from . import Data, Subset
from .hub import HubListener
from .util import PropertySetMixin
from... | {
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"path": "glue/core/application_base.py",
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"config_tes... |
from __future__ import absolute_import, division, print_function
from future import standard_library
standard_library.install_aliases()
from future.utils import iteritems
from typing import List, Dict, Any, Optional, NamedTuple, Tuple, Iterator, Iterable, Union, cast
from types import FrameType, TracebackType, CodeTy... | {
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"path": "tests/samples/bird.py",
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from __future__ import absolute_import, division, print_function
from ginga.misc import log
from ginga import toolkit
try:
toolkit.use('qt')
from ginga.gw import ColorBar
except ImportError:
# older versions of ginga
from ginga.qtw import ColorBar
from ginga.qtw.ImageViewCanvasQt import ImageViewCanvas... | {
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"path": "glue/plugins/ginga_viewer/qt/viewer_widget.py",
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... |
from __future__ import absolute_import, division, print_function
from glob import glob
from .chunks import Chunks, chunks
from .resource import resource
from .utils import copydoc
from toolz import memoize, first
from datashape import discover, var
import os
class _Directory(Chunks):
""" A directory of files on ... | {
"repo_name": "quantopian/odo",
"path": "odo/directory.py",
"copies": "4",
"size": "1996",
"license": "bsd-3-clause",
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"line_max": 78,
"alpha_frac": 0.6407815631,
"autogenerated": false,
"ratio": 3.5899280575539567,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from glob import glob
from .chunks import Chunks
from .resource import resource
from toolz import memoize, first
from datashape import discover, var
import os
class _Directory(Chunks):
""" A directory of files on disk
For typed containers see ... | {
"repo_name": "mrocklin/into",
"path": "into/directory.py",
"copies": "1",
"size": "1877",
"license": "bsd-3-clause",
"hash": 7361175921667981000,
"line_mean": 26.6029411765,
"line_max": 82,
"alpha_frac": 0.6446457112,
"autogenerated": false,
"ratio": 3.7094861660079053,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from glob import glob
from .chunks import Chunks
from .resource import resource
from .utils import copydoc
from toolz import memoize, first
from datashape import discover, var
import os
class _Directory(Chunks):
""" A directory of files on disk
... | {
"repo_name": "Dannnno/odo",
"path": "odo/directory.py",
"copies": "5",
"size": "1992",
"license": "bsd-3-clause",
"hash": -4025174196731448300,
"line_mean": 27.0563380282,
"line_max": 82,
"alpha_frac": 0.640562249,
"autogenerated": false,
"ratio": 3.595667870036101,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from glob import glob
import os
try:
from skimage.io import imread as sk_imread
except ImportError:
pass
from .core import Array
from ..base import tokenize
def add_leading_dimension(x):
return x[None, ...]
def imread(filename, imread=N... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/array/image.py",
"copies": "6",
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"license": "mit",
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"autogenerated": false,
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from __future__ import absolute_import, division, print_function
from glue.config import colormaps
from glue.external.echo import CallbackProperty, SelectionCallbackProperty, delay_callback
from glue.core.state_objects import StateAttributeLimitsHelper
from glue.core.data_combo_helper import ComponentIDComboHelper
fr... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/isosurface/layer_state.py",
"copies": "3",
"size": "1648",
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"line_mean": 28.9636363636,
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"alpha_frac": 0.6541262136,
"autogenerated": false,
"ratio": 4,
"con... |
from __future__ import absolute_import, division, print_function
from glue.config import colormaps
from glue.external.echo import (CallbackProperty, SelectionCallbackProperty,
keep_in_sync, delay_callback)
from glue.core.state_objects import StateAttributeLimitsHelper
from glue.core.dat... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/scatter/layer_state.py",
"copies": "3",
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"license": "bsd-2-clause",
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"line_max": 95,
"alpha_frac": 0.6114421931,
"autogenerated": false,
"ratio": 4.11274509803... |
from __future__ import absolute_import, division, print_function
from glue.core.data_factories.hdf5 import is_hdf5, extract_hdf5_datasets
from glue.core.data_factories.fits import is_fits, is_image_hdu
from glue.core.coordinates import coordinates_from_header
from glue.core.data import Component, Data
from glue.config... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/data_factories/deprecated.py",
"copies": "4",
"size": "4547",
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"autogenerated": false,
"ratio": 3.699755899104963... |
from __future__ import absolute_import, division, print_function
from glue.core.data import Data, Component
from glue.config import data_factory
from glue.core.data_factories.helpers import has_extension
__all__ = ['is_npy', 'npy_reader', 'is_npz', 'npz_reader']
# TODO: implement support for regular arrays, e.g., no... | {
"repo_name": "saimn/glue",
"path": "glue/core/data_factories/npy.py",
"copies": "2",
"size": "2643",
"license": "bsd-3-clause",
"hash": -4987282703729713000,
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"line_max": 89,
"alpha_frac": 0.6375331063,
"autogenerated": false,
"ratio": 3.660664819944598,
"config_test... |
from __future__ import absolute_import, division, print_function
from glue.core import command
from glue.viewers.matplotlib.qt.toolbar import MatplotlibViewerToolbar
from glue.core.edit_subset_mode import EditSubsetMode
from glue.core.util import update_ticks
from glue.viewers.matplotlib.qt.data_viewer import Matplot... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/viewers/scatter/qt/data_viewer.py",
"copies": "1",
"size": "3061",
"license": "bsd-3-clause",
"hash": -7325583605861242000,
"line_mean": 38.2435897436,
"line_max": 93,
"alpha_frac": 0.6566481542,
"autogenerated": false,
"ratio": 3.60541813898704... |
from __future__ import absolute_import, division, print_function
from glue.core import Data, DataCollection
from qtpy import QtGui, QtWidgets
from qtpy.QtCore import Qt
from glue.core.hub import HubListener
from glue.core.message import (ComponentsChangedMessage,
DataCollectionAddMessage... | {
"repo_name": "saimn/glue",
"path": "glue/core/qt/data_combo_helper.py",
"copies": "1",
"size": "11368",
"license": "bsd-3-clause",
"hash": 2405121046332123600,
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"line_max": 94,
"alpha_frac": 0.6111893033,
"autogenerated": false,
"ratio": 4.275291462955998,
"config_te... |
from __future__ import absolute_import, division, print_function
from glue.core import Data, DataCollection
from qtpy import QtWidgets
from ..data_combo_helper import (ComponentIDComboHelper, ManualDataComboHelper,
DataCollectionComboHelper)
def _items_as_string(combo):
items = ... | {
"repo_name": "saimn/glue",
"path": "glue/core/qt/tests/test_data_combo_helper.py",
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... |
from __future__ import absolute_import, division, print_function
from glue.core import Data, DataCollection, Subset
from qtpy import QtGui, QtWidgets
from qtpy.QtCore import Qt
from glue.core.hub import HubListener
from glue.core.message import (ComponentsChangedMessage,
DataCollectionAd... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/qt/data_combo_helper.py",
"copies": "2",
"size": "14412",
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"alpha_frac": 0.5998473494,
"autogenerated": false,
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... |
from __future__ import absolute_import, division, print_function
from glue.core import Subset
from glue.core.subset import MaskSubsetState
__all__ = ['SubsetMaskImporter', 'SubsetMaskExporter']
class SubsetMaskImporter(object):
def get_filename_and_reader(self):
raise NotImplementedError
def run(s... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/io/subset_mask.py",
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"size": "2274",
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"autogenerated": false,
"ratio": 4.211111111111111,
"confi... |
from __future__ import absolute_import, division, print_function
from glue.core import Subset
from glue.external.echo import (CallbackProperty, SelectionCallbackProperty,
delay_callback)
from glue.core.state_objects import StateAttributeLimitsHelper
from glue.core.data_combo_helper impo... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/volume/layer_state.py",
"copies": "1",
"size": "1911",
"license": "bsd-2-clause",
"hash": 2214458956751394000,
"line_mean": 31.3898305085,
"line_max": 81,
"alpha_frac": 0.6117216117,
"autogenerated": false,
"ratio": 4.246666666666... |
from __future__ import absolute_import, division, print_function
from glue.core.message import (DataUpdateMessage,
SubsetUpdateMessage,
SubsetCreateMessage,
SubsetDeleteMessage,
DataCollectionDel... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/client.py",
"copies": "4",
"size": "5812",
"license": "bsd-3-clause",
"hash": 1220531006990243000,
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"line_max": 69,
"alpha_frac": 0.5688231246,
"autogenerated": false,
"ratio": 4.767842493847416,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from glue.core.state import lookup_class_with_patches
from glue.config import settings
from glue.core import message as msg
from qtpy.QtWidgets import QMessageBox
from ..common.vispy_data_viewer import BaseVispyViewer
from .layer_artist import VolumeLa... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/volume/volume_viewer.py",
"copies": "1",
"size": "4382",
"license": "bsd-2-clause",
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"line_mean": 34.6260162602,
"line_max": 118,
"alpha_frac": 0.5983569147,
"autogenerated": false,
"ratio": 4.34291377... |
from __future__ import absolute_import, division, print_function
from glue.core.util import disambiguate
from glue.core.message import (DataCollectionAddMessage,
DataCollectionDeleteMessage,
DataAddComponentMessage)
from glue.core.registry import Registry
f... | {
"repo_name": "saimn/glue",
"path": "glue/core/data_collection.py",
"copies": "1",
"size": "9736",
"license": "bsd-3-clause",
"hash": 75180354344016770,
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"line_max": 84,
"alpha_frac": 0.5780608053,
"autogenerated": false,
"ratio": 4.220199393151279,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from glue.external.echo import CallbackProperty, keep_in_sync
from glue.core.message import LayerArtistUpdatedMessage
from glue.viewers.common.state import LayerState
__all__ = ['VispyLayerState']
class VispyLayerState(LayerState):
"""
A base ... | {
"repo_name": "astrofrog/glue-vispy-viewers",
"path": "glue_vispy_viewers/common/layer_state.py",
"copies": "2",
"size": "1448",
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"hash": -318366996663089900,
"line_mean": 28.5510204082,
"line_max": 85,
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"autogenerated": false,
"ratio": 3.74160... |
from __future__ import absolute_import, division, print_function
from glue.external.echo import CallbackProperty, keep_in_sync
from glue.core.state_objects import State
__all__ = ['VispyLayerState']
class VispyLayerState(State):
"""
A base state object for all Vispy layers
"""
layer = CallbackPrope... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/common/layer_state.py",
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from __future__ import absolute_import, division, print_function
from glue.external.echo import keep_in_sync
from glue.core.layer_artist import LayerArtistBase
from glue.viewers.matplotlib.state import DeferredDrawCallbackProperty
# TODO: should use the built-in class for this, though we don't need
# the _sync_... | {
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"path": "glue/viewers/matplotlib/layer_artist.py",
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from __future__ import absolute_import, division, print_function
from glue.utils.qt.mime import PyMimeData
__all__ = ['GlueItemWidget']
class GlueItemWidget(object):
"""
A mixin for QtWidgets.QListWidget/GlueTreeWidget subclasses, that provides
drag+drop funtionality.
"""
# Implementation detai... | {
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"path": "glue/utils/qt/mixins.py",
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"ratio": 4.145348837209302,
"config_test... |
from __future__ import absolute_import, division, print_function
from glue.viewers.common.qt.data_viewer_with_state import DataViewerWithState
from glue.viewers.matplotlib.qt.widget import MplWidget
from glue.viewers.common.viz_client import init_mpl, update_appearance_from_settings
from glue.external.echo import dela... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/viewers/matplotlib/qt/data_viewer.py",
"copies": "1",
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"hash": -6686820566251339000,
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"autogenerated": false,
"ratio": 3.4855938158819395,
... |
from __future__ import absolute_import, division, print_function
from glue.viewers.matplotlib.qt.toolbar import MatplotlibViewerToolbar
from glue.core.edit_subset_mode import EditSubsetMode
from glue.core.util import update_ticks
from glue.core.roi import RangeROI
from glue.core import command
from glue.viewers.matpl... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/viewers/histogram/qt/data_viewer.py",
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"ratio": 3.6035805626598467,
... |
from __future__ import (absolute_import, division, print_function)
from gridded.pysgrid.sgrid import SGrid
from gridded.pyugrid.ugrid import UGrid
import numpy as np
from gridded.utilities import get_dataset, gen_celltree_mask_from_center_mask
from six import string_types
class GridBase(object):
'''
Base ob... | {
"repo_name": "NOAA-ORR-ERD/gridded",
"path": "gridded/grids.py",
"copies": "1",
"size": "24463",
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"config_test": fal... |
from __future__ import absolute_import, division, print_function
from .hub import Hub, HubListener
from .data import Data
from .link_manager import LinkManager
from .registry import Registry
from .visual import COLORS
from .message import (DataCollectionAddMessage,
DataCollectionDeleteMessage,
... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/data_collection.py",
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"hash": -2245078325687599600,
"line_mean": 30.9057239057,
"line_max": 84,
"alpha_frac": 0.5777754327,
"autogenerated": false,
"ratio": 4.230357142857143,
"config_test... |
from __future__ import absolute_import, division, print_function
from .hub import HubListener
from .data import Data
from .subset import Subset
from .data_collection import DataCollection
from .message import (DataUpdateMessage,
SubsetUpdateMessage,
SubsetCreateMessage,
... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/client.py",
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"alpha_frac": 0.5708792169,
"autogenerated": false,
"ratio": 4.771476230191826,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from . import IDataDescriptor, Capabilities
def blaze_func_iter(bfd, noiter_dims):
args = bfd.args
dim_size = 1
iters = []
for a, noiter in zip(args, noiter_dims):
if noiter:
iters.append(a)
else:
... | {
"repo_name": "zeeshanali/blaze",
"path": "blaze/datadescriptor/blaze_func_descriptor.py",
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from __future__ import absolute_import, division, print_function
from . import ops
from .groupby import DataArrayGroupBy, DatasetGroupBy
from .pycompat import OrderedDict, dask_array_type
RESAMPLE_DIM = '__resample_dim__'
class Resample(object):
"""An object that extends the `GroupBy` object with additional log... | {
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"path": "xarray/core/resample.py",
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"hash": -5081576379401345000,
"line_mean": 36.1025641026,
"line_max": 79,
"alpha_frac": 0.5866543807,
"autogenerated": false,
"ratio": 4.629576964095272,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from . import twisted
from ._core import (
Certificate,
DHParameters,
Key,
RSAPrivateKey,
parse,
parse_file,
)
from .twisted import (
certificateOptionsFromFiles as certificateOptionsFromFilesOriginal,
certificateOptionsFr... | {
"repo_name": "leandrotoledo/pem",
"path": "pem/__init__.py",
"copies": "1",
"size": "1596",
"license": "mit",
"hash": 105649644403248600,
"line_mean": 23.1818181818,
"line_max": 77,
"alpha_frac": 0.6810776942,
"autogenerated": false,
"ratio": 3.7116279069767444,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
from imps.core import Sorter
def test_smarkets_style():
input = '''from __future__ import absolute_import, division, print_function
import ast
import configparser
import os
import StringIO
import sys
from functools import *
from os import path
im... | {
"repo_name": "bootandy/imps",
"path": "imps/tests/test_smarkets.py",
"copies": "1",
"size": "2242",
"license": "apache-2.0",
"hash": 2559477037607645700,
"line_mean": 21.42,
"line_max": 95,
"alpha_frac": 0.7100802855,
"autogenerated": false,
"ratio": 3.402124430955994,
"config_test": true,
"... |
from __future__ import absolute_import, division, print_function
from imps.stdlib import get_paths, LOCAL, STDLIB, strip_to_first_module, THIRDPARTY
def test_strip_to_first_module():
assert strip_to_first_module('from alpha.beta import squid') == 'alpha'
assert strip_to_first_module('import sys') == 'sys'
... | {
"repo_name": "bootandy/imps",
"path": "imps/tests/test_stdlib.py",
"copies": "1",
"size": "1130",
"license": "apache-2.0",
"hash": 3827987076141693000,
"line_mean": 37.9655172414,
"line_max": 83,
"alpha_frac": 0.6584070796,
"autogenerated": false,
"ratio": 3.3333333333333335,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from inspect import getargspec
from ..external.qt.QtGui import (QWidget, QHBoxLayout, QVBoxLayout,
QLabel, QLineEdit)
from ..external.qt.QtGui import QSpacerItem, QSizePolicy
from .. import core
from ..compat.collectio... | {
"repo_name": "JudoWill/glue",
"path": "glue/qt/link_equation.py",
"copies": "1",
"size": "10206",
"license": "bsd-3-clause",
"hash": -197317345852547940,
"line_mean": 31.1955835962,
"line_max": 131,
"alpha_frac": 0.6034685479,
"autogenerated": false,
"ratio": 4.116982654296087,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from io import TextIOBase
import sys
import threading
if sys.version_info[0] < 3:
from Queue import Queue
else:
from queue import Queue
def start_thread(runnable):
threading.Thread(target=lambda: runnable.run()).start()
class ConsoleInpu... | {
"repo_name": "fyookball/electrum",
"path": "android/app/src/main/python/chaquopy/utils/console.py",
"copies": "1",
"size": "2993",
"license": "mit",
"hash": 5238465816921857000,
"line_mean": 26.712962963,
"line_max": 98,
"alpha_frac": 0.5760106916,
"autogenerated": false,
"ratio": 4.061058344640... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from dynd import nd
from collections import Iterator
from datashape import dshape, Record, DataShape, Mono
from datashape.predicates import isdimension
from toolz import partition_all, partial, map, compose, first
from ..dispa... | {
"repo_name": "vitan/blaze",
"path": "blaze/data/utils.py",
"copies": "1",
"size": "4949",
"license": "bsd-3-clause",
"hash": -8610963531535163000,
"line_mean": 25.8967391304,
"line_max": 78,
"alpha_frac": 0.5508183471,
"autogenerated": false,
"ratio": 3.2473753280839897,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from dynd import nd
from collections import Iterator
from datashape import dshape, Record
from datashape.predicates import isunit, isdimension
from toolz import partition_all, partial, map
from ..compatibility import _strtype... | {
"repo_name": "aterrel/blaze",
"path": "blaze/data/utils.py",
"copies": "1",
"size": "4043",
"license": "bsd-3-clause",
"hash": -974982947258924700,
"line_mean": 26.8827586207,
"line_max": 74,
"alpha_frac": 0.5426663369,
"autogenerated": false,
"ratio": 3.2036450079239303,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from dynd import nd
import datashape
from datashape.internal_utils import IndexCallable
from datashape import discover
from functools import partial
from ..dispatch import dispatch
from blaze.expr import Projection, Field
from... | {
"repo_name": "vitan/blaze",
"path": "blaze/data/core.py",
"copies": "1",
"size": "6508",
"license": "bsd-3-clause",
"hash": -5320380126648248000,
"line_mean": 31.8686868687,
"line_max": 79,
"alpha_frac": 0.6040258144,
"autogenerated": false,
"ratio": 3.885373134328358,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from dynd import nd
import datashape
from datashape.internal_utils import IndexCallable
from .utils import validate, coerce, coerce_to_ordered, ordered_index
from ..utils import partition_all
__all__ = ['DataDescriptor', 'di... | {
"repo_name": "aterrel/blaze",
"path": "blaze/data/core.py",
"copies": "1",
"size": "5728",
"license": "bsd-3-clause",
"hash": 4043698314402395000,
"line_mean": 31.5454545455,
"line_max": 78,
"alpha_frac": 0.6014315642,
"autogenerated": false,
"ratio": 3.947622329427981,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from dynd import nd
import datashape
from .utils import validate, coerce
from ..utils import partition_all
__all__ = ['DataDescriptor']
def isdimension(ds):
return isinstance(ds, (datashape.Var, datashape.Fixed))
cla... | {
"repo_name": "sethkontny/blaze",
"path": "blaze/data/core.py",
"copies": "1",
"size": "3681",
"license": "bsd-3-clause",
"hash": -7048420654411449000,
"line_mean": 30.1949152542,
"line_max": 91,
"alpha_frac": 0.6145069275,
"autogenerated": false,
"ratio": 4.058434399117972,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from itertools import chain
from .utils_test import add, inc # noqa: F401
def ishashable(x):
""" Is x hashable?
Examples
--------
>>> ishashable(1)
True
>>> ishashable([1])
False
"""
try:
hash(x)
... | {
"repo_name": "cpcloud/dask",
"path": "dask/core.py",
"copies": "1",
"size": "12150",
"license": "bsd-3-clause",
"hash": -1031776024656334800,
"line_mean": 25.6447368421,
"line_max": 84,
"alpha_frac": 0.5109465021,
"autogenerated": false,
"ratio": 3.7592821782178216,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from itertools import count
from functools import wraps
from collections import Iterator
import numpy as np
from toolz import merge, merge_sorted
from .core import Array
from ..base import tokenize
from .. import sharedict
@wraps(np.percentile)
def _... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/percentile.py",
"copies": "1",
"size": "6350",
"license": "bsd-3-clause",
"hash": -1907418161750873600,
"line_mean": 35.9186046512,
"line_max": 90,
"alpha_frac": 0.6207874016,
"autogenerated": false,
"ratio": 3.6747685185185186,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from itertools import count, product
from functools import partial
from toolz import curry
import numpy as np
from .core import Array, normalize_chunks
from .numpy_compat import full
names = ('wrapped_%d' % i for i in count(1))
def dims_from_size(si... | {
"repo_name": "freeman-lab/dask",
"path": "dask/array/wrap.py",
"copies": "5",
"size": "2996",
"license": "bsd-3-clause",
"hash": -9073903511037532000,
"line_mean": 25.052173913,
"line_max": 79,
"alpha_frac": 0.599799733,
"autogenerated": false,
"ratio": 3.4279176201372996,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from itertools import count, product
from toolz import curry
from .core import Array
import numpy as np
names = ('wrapped_%d' % i for i in count(1))
def dims_from_size(size, blocksize):
"""
>>> list(dims_from_size(30, 8))
[8, 8, 8, 6]
... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/wrap.py",
"copies": "1",
"size": "3237",
"license": "bsd-3-clause",
"hash": -2869510694894797000,
"line_mean": 25.975,
"line_max": 77,
"alpha_frac": 0.609206055,
"autogenerated": false,
"ratio": 3.393081761006289,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from itertools import count, product
from toolz import curry
import numpy as np
from .core import Array, normalize_chunks
from .numpy_compat import full
names = ('wrapped_%d' % i for i in count(1))
def dims_from_size(size, blocksize):
"""
>... | {
"repo_name": "minrk/dask",
"path": "dask/array/wrap.py",
"copies": "4",
"size": "2960",
"license": "bsd-3-clause",
"hash": 1470628939049209600,
"line_mean": 24.9649122807,
"line_max": 77,
"alpha_frac": 0.5962837838,
"autogenerated": false,
"ratio": 3.3944954128440368,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from itertools import cycle
from operator import itemgetter, add
from toolz import unique, groupby, accumulate, pluck
import bokeh.plotting as bp
from bokeh.io import _state
from bokeh.palettes import brewer
from bokeh.models import HoverTool, LinearAxi... | {
"repo_name": "pombredanne/dask",
"path": "dask/diagnostics/profile_visualize.py",
"copies": "1",
"size": "12738",
"license": "bsd-3-clause",
"hash": -7523364113404990000,
"line_mean": 32.171875,
"line_max": 87,
"alpha_frac": 0.5440414508,
"autogenerated": false,
"ratio": 3.611567904734902,
"co... |
from __future__ import absolute_import, division, print_function
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 plots require `bokeh` to be installed")
_TOOL... | {
"repo_name": "cowlicks/dask",
"path": "dask/diagnostics/profile_visualize.py",
"copies": "2",
"size": "13680",
"license": "bsd-3-clause",
"hash": -2443241040388121600,
"line_mean": 32.6117936118,
"line_max": 87,
"alpha_frac": 0.548245614,
"autogenerated": false,
"ratio": 3.5849056603773586,
"c... |
from __future__ import absolute_import, division, print_function
from itertools import ifilter, imap, islice
import json
import re
import sys
import traceback
import urllib
from urlparse import urljoin, urlparse, urlunparse
import urlnorm
from dossier.fc import FeatureCollection, StringCounter
from dossier.models.et... | {
"repo_name": "dossier/dossier.models",
"path": "dossier/models/etl/scrapy.py",
"copies": "1",
"size": "4702",
"license": "mit",
"hash": 6823929727462572000,
"line_mean": 28.949044586,
"line_max": 79,
"alpha_frac": 0.5586984262,
"autogenerated": false,
"ratio": 3.7287866772402856,
"config_test"... |
from __future__ import absolute_import, division, print_function
from itertools import product
from distutils.version import LooseVersion
import numpy as np
from .. import Variable, coding, conventions
from ..core import indexing
from ..core.pycompat import OrderedDict, integer_types, iteritems
from ..core.utils imp... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/backends/zarr.py",
"copies": "1",
"size": "18357",
"license": "apache-2.0",
"hash": -2325744561222545000,
"line_mean": 38.9065217391,
"line_max": 79,
"alpha_frac": 0.6195456774,
"autogenerated": false,
"ratio": 4.380100214745884,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from itertools import product
from functools import partial
from toolz import curry
import numpy as np
from ..base import tokenize
from .core import Array, normalize_chunks
from .numpy_compat import full
def dims_from_size(size, blocksize):
"""
... | {
"repo_name": "clarkfitzg/dask",
"path": "dask/array/wrap.py",
"copies": "4",
"size": "1978",
"license": "bsd-3-clause",
"hash": 4193349603082930700,
"line_mean": 24.6883116883,
"line_max": 82,
"alpha_frac": 0.6203235592,
"autogenerated": false,
"ratio": 3.4520069808027922,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from itertools import product
from math import ceil
from numbers import Number
from operator import getitem, add, itemgetter
import numpy as np
from toolz import merge, accumulate, pluck, memoize
from ..base import tokenize
from ..compatibility import ... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/slicing.py",
"copies": "1",
"size": "22671",
"license": "bsd-3-clause",
"hash": 4678590991876652000,
"line_mean": 30.8412921348,
"line_max": 119,
"alpha_frac": 0.5539676238,
"autogenerated": false,
"ratio": 3.417910447761194,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from itertools import product
from math import ceil
from numbers import Number
from operator import getitem, add
import numpy as np
from toolz import merge, first, accumulate
from ..base import tokenize
from ..compatibility import long
def sanitize_i... | {
"repo_name": "vikhyat/dask",
"path": "dask/array/slicing.py",
"copies": "1",
"size": "19485",
"license": "bsd-3-clause",
"hash": -7097070787210551000,
"line_mean": 30.6314935065,
"line_max": 119,
"alpha_frac": 0.5490377213,
"autogenerated": false,
"ratio": 3.388695652173913,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from itertools import product
from operator import getitem
import numpy as np
from .core import (normalize_chunks, Array, slices_from_chunks,
broadcast_shapes, broadcast_to)
from ..base import tokenize
from ..utils import different_s... | {
"repo_name": "cowlicks/dask",
"path": "dask/array/random.py",
"copies": "2",
"size": "15992",
"license": "bsd-3-clause",
"hash": -3918635735124103700,
"line_mean": 38.1960784314,
"line_max": 82,
"alpha_frac": 0.6016133067,
"autogenerated": false,
"ratio": 3.7487107360525083,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from itertools import product
from operator import mul
import numpy as np
from .core import Array
from ..base import tokenize
from ..core import flatten
from ..compatibility import reduce
from .. import sharedict
def reshape_rechunk(inshape, outshape... | {
"repo_name": "cpcloud/dask",
"path": "dask/array/reshape.py",
"copies": "1",
"size": "5917",
"license": "bsd-3-clause",
"hash": -7006342420301881000,
"line_mean": 30.3068783069,
"line_max": 107,
"alpha_frac": 0.5519689032,
"autogenerated": false,
"ratio": 3.404487917146145,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from itertools import product
import numpy as np
from .core import normalize_chunks, Array
from ..base import tokenize
from ..utils import different_seeds, ignoring
def doc_wraps(func):
""" Copy docstring from one function to another """
def _... | {
"repo_name": "mikegraham/dask",
"path": "dask/array/random.py",
"copies": "1",
"size": "12905",
"license": "bsd-3-clause",
"hash": -9215933013564944000,
"line_mean": 37.4077380952,
"line_max": 79,
"alpha_frac": 0.6333204184,
"autogenerated": false,
"ratio": 3.6290776152980877,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from keyword import iskeyword
import re
import datashape
from datashape import dshape, DataShape, Record, Var, Mono, Fixed
from datashape.predicates import isscalar, iscollection, isboolean, isrecord
import numpy as np
from odo.utils import copydoc
impo... | {
"repo_name": "xlhtc007/blaze",
"path": "blaze/expr/expressions.py",
"copies": "6",
"size": "23031",
"license": "bsd-3-clause",
"hash": -9032310935931768000,
"line_mean": 27.4333333333,
"line_max": 80,
"alpha_frac": 0.5645000217,
"autogenerated": false,
"ratio": 3.820670205706702,
"config_test"... |
from __future__ import absolute_import, division, print_function
from ..layout import Rectangle, snap_to_grid
class TestSnap(object):
@staticmethod
def check(input, expected, **kwargs):
result = snap_to_grid(input, **kwargs)
for i, e in zip(input, expected):
assert result[i] == e... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/core/tests/test_layout.py",
"copies": "5",
"size": "1757",
"license": "bsd-3-clause",
"hash": 3604348905946779600,
"line_mean": 26.8888888889,
"line_max": 64,
"alpha_frac": 0.4302788845,
"autogenerated": false,
"ratio": 2.8615635179153096,
"co... |
from __future__ import absolute_import, division, print_function
from .llvm_array import (array_type, const_intp, auto_const_intp,
intp_type, int_type,
store_at, load_at, get_shape_ptr, get_data_ptr,
get_strides_ptr, sizeof, isinteger, isiterab... | {
"repo_name": "cezary12/blaze",
"path": "blaze/compute/llgetitem.py",
"copies": "7",
"size": "11586",
"license": "bsd-3-clause",
"hash": 4172442806679004000,
"line_mean": 29.5699208443,
"line_max": 80,
"alpha_frac": 0.6002934576,
"autogenerated": false,
"ratio": 3.3524305555555554,
"config_test... |
from __future__ import absolute_import, division, print_function
from logging import getLogger
from os.path import isfile, join
from .core.link import UnlinkLinkTransaction
from .core.package_cache_data import ProgressiveFetchExtract
from .exceptions import CondaFileIOError
from .gateways.disk.link import islink
log... | {
"repo_name": "Microsoft/PTVS",
"path": "Python/Product/Miniconda/Miniconda3-x64/Lib/site-packages/conda/instructions.py",
"copies": "1",
"size": "2609",
"license": "apache-2.0",
"hash": 8638009812320842000,
"line_mean": 23.8476190476,
"line_max": 88,
"alpha_frac": 0.690302798,
"autogenerated": fal... |
from __future__ import absolute_import, division, print_function
from math import ceil
from operator import getitem
import os
from threading import Lock
from warnings import warn
import pandas as pd
import numpy as np
from toolz import merge
from ...base import tokenize
from ...compatibility import unicode, PY3
from... | {
"repo_name": "cpcloud/dask",
"path": "dask/dataframe/io/io.py",
"copies": "1",
"size": "19641",
"license": "bsd-3-clause",
"hash": 2977808181552649000,
"line_mean": 32.3463497453,
"line_max": 112,
"alpha_frac": 0.5871391477,
"autogenerated": false,
"ratio": 3.6691574817859145,
"config_test": t... |
from __future__ import absolute_import, division, print_function
from math import ceil
from operator import getitem
import os
from threading import Lock
import uuid
from warnings import warn
import pandas as pd
import numpy as np
from toolz import merge
from ...base import tokenize
from ...compatibility import unico... | {
"repo_name": "jeffery-do/Vizdoombot",
"path": "doom/lib/python3.5/site-packages/dask/dataframe/io/io.py",
"copies": "1",
"size": "18447",
"license": "mit",
"hash": -8264843338888125000,
"line_mean": 31.5918727915,
"line_max": 87,
"alpha_frac": 0.5843768634,
"autogenerated": false,
"ratio": 3.619... |
from __future__ import absolute_import, division, print_function
from matplotlib.colors import ColorConverter
from glue.config import settings
from glue.external.echo import callback_property
from glue.external import six
# Define acceptable line styles
VALID_LINESTYLES = ['solid', 'dashed', 'dash-dot', 'dotted', 'n... | {
"repo_name": "saimn/glue",
"path": "glue/core/visual.py",
"copies": "4",
"size": "5472",
"license": "bsd-3-clause",
"hash": -1179724166966962000,
"line_mean": 29.5698324022,
"line_max": 93,
"alpha_frac": 0.5858918129,
"autogenerated": false,
"ratio": 4.218966846569005,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from mentor.executor import OneOffExecutor, Running
from mentor.messages import PythonTask, PythonTaskStatus
from mentor.utils import RemoteException
class FakeThread(object):
def __init__(self, target):
self.target = target
def start... | {
"repo_name": "lensacom/satyr",
"path": "mentor/tests/test_executor.py",
"copies": "1",
"size": "1949",
"license": "apache-2.0",
"hash": 5379852632266473000,
"line_mean": 24.6447368421,
"line_max": 70,
"alpha_frac": 0.6859928168,
"autogenerated": false,
"ratio": 3.8290766208251474,
"config_test... |
from __future__ import absolute_import, division, print_function
from mock import MagicMock
import pytest
import numpy as np
from ... import core
from .. import roi
from .. import command as c
from ..data_factories import tabular_data
from .util import simple_session, simple_catalog
from ...external.six.moves import ... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/tests/test_command.py",
"copies": "1",
"size": "3669",
"license": "bsd-3-clause",
"hash": 4369406948513540000,
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"line_max": 73,
"alpha_frac": 0.5979831017,
"autogenerated": false,
"ratio": 3.4418386491557222,
"config_t... |
from __future__ import absolute_import, division, print_function
from mock import MagicMock
from ..application_base import Application
from .. import Data
from ...external.six.moves import cPickle as pickle
class MockApplication(Application):
def __init__(self, data=None, hub=None):
super(MockApplicati... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/tests/test_application_base.py",
"copies": "1",
"size": "1456",
"license": "bsd-3-clause",
"hash": 4910993275697213000,
"line_mean": 25,
"line_max": 64,
"alpha_frac": 0.6222527473,
"autogenerated": false,
"ratio": 3.6129032258064515,
"config_tes... |
from __future__ import absolute_import, division, print_function
from mock import patch
from matplotlib import cm
from glue.core import Data, DataCollection
from ..subset_facet import SubsetFacet
patched_facet = patch('glue.dialogs.subset_facet.qt.subset_facet.facet_subsets')
class TestSubsetFacet(object):
... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/dialogs/subset_facet/qt/tests/test_subset_facet.py",
"copies": "4",
"size": "1169",
"license": "bsd-3-clause",
"hash": -1800748357862443300,
"line_mean": 27.512195122,
"line_max": 80,
"alpha_frac": 0.5739948674,
"autogenerated": false,
"ratio": ... |
from __future__ import absolute_import, division, print_function
from mock import patch
from qtpy import QtWidgets
from glue import _plugin_helpers as ph
from glue.main import load_plugins
from ..plugin_manager import QtPluginManager
def setup_function(func):
from glue import config
func.CFG_DIR_ORIG = co... | {
"repo_name": "stscieisenhamer/glue",
"path": "glue/app/qt/tests/test_plugin_manager.py",
"copies": "3",
"size": "1640",
"license": "bsd-3-clause",
"hash": -8504459362969016000,
"line_mean": 20.5789473684,
"line_max": 80,
"alpha_frac": 0.6762195122,
"autogenerated": false,
"ratio": 3.636363636363... |
from __future__ import absolute_import, division, print_function
from multipledispatch import dispatch
from six import string_types
from pennies.trading.assets import Asset
from pennies.market.market import Market
BASE_ASSET = (Asset, object)
BASE_MARKET = (Market, object)
BASE_STRING = string_types + (object,)
@d... | {
"repo_name": "caseyclements/pennies",
"path": "pennies/calculators/assets.py",
"copies": "1",
"size": "5119",
"license": "apache-2.0",
"hash": 4056597498530552300,
"line_mean": 32.4575163399,
"line_max": 79,
"alpha_frac": 0.6665364329,
"autogenerated": false,
"ratio": 3.9407236335642803,
"conf... |
from __future__ import absolute_import, division, print_function
from multipledispatch import dispatch
from pennies.trading.assets import BulletPayment
from pennies.calculators.assets import AssetCalculator
from pennies import CurrencyAmount
from pennies.market.market import Market, RatesTermStructure
@dispatch(Bul... | {
"repo_name": "caseyclements/pennies",
"path": "pennies/calculators/payments.py",
"copies": "1",
"size": "2089",
"license": "apache-2.0",
"hash": 4311841912290494500,
"line_mean": 37.6851851852,
"line_max": 82,
"alpha_frac": 0.6840593585,
"autogenerated": false,
"ratio": 4.2719836400818,
"confi... |
from __future__ import absolute_import, division, print_function
from multipledispatch import MDNotImplementedError
from odo import Chunks, chunks, convert, discover, into
from collections import Iterator, Iterable
from toolz import curry, concat, map
from datashape.dispatch import dispatch
import pandas as pd
import... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/compute/chunks.py",
"copies": "1",
"size": "1792",
"license": "bsd-3-clause",
"hash": 3515949893189694500,
"line_mean": 28.3770491803,
"line_max": 68,
"alpha_frac": 0.69140625,
"autogenerated": false,
"ratio": 3.534516765285996,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from multipledispatch import MDNotImplementedError
from odo import Chunks, convert, into
from collections import Iterator, Iterable
from toolz import curry, concat
from datashape.dispatch import dispatch
import pandas as pd
import numpy as np
from ..ex... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/compute/chunks.py",
"copies": "16",
"size": "1826",
"license": "bsd-3-clause",
"hash": -1086373702137248600,
"line_mean": 26.6666666667,
"line_max": 68,
"alpha_frac": 0.6861993428,
"autogenerated": false,
"ratio": 3.504798464491363,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from nfldb.db import _upsert
class Entity (object):
"""
This is an abstract base class that handles most of the SQL
plumbing for entities in `nfldb`. Its interface is meant to be
declarative: specify the schema and let the methods defin... | {
"repo_name": "verdimrc/nfldb",
"path": "nfldb/sql.py",
"copies": "5",
"size": "15501",
"license": "unlicense",
"hash": 2931798795539151400,
"line_mean": 38.4427480916,
"line_max": 78,
"alpha_frac": 0.5810592865,
"autogenerated": false,
"ratio": 4.008533747090768,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
from numbers import Number
from toolz import concat, first, curry, compose
from datashape import DataShape
from blaze import compute, ndim
from blaze.dispatch import dispatch
from blaze.compute.core import compute_up, optimize
from blaze.expr import (El... | {
"repo_name": "LiaoPan/blaze",
"path": "blaze/compute/dask.py",
"copies": "3",
"size": "2914",
"license": "bsd-3-clause",
"hash": -5792800541194806000,
"line_mean": 32.1136363636,
"line_max": 83,
"alpha_frac": 0.6091283459,
"autogenerated": false,
"ratio": 3.5842558425584254,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from numbers import Number
import numpy as np
from toolz import concat, first, curry, compose
from datashape import DataShape
from blaze.dispatch import dispatch
from blaze.compute.core import compute_up, optimize
from blaze import compute, ndim
from bl... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/blaze.py",
"copies": "1",
"size": "2956",
"license": "bsd-3-clause",
"hash": 2220561997763636000,
"line_mean": 31.1304347826,
"line_max": 83,
"alpha_frac": 0.6339648173,
"autogenerated": false,
"ratio": 3.4573099415204678,
"config_test":... |
from __future__ import absolute_import, division, print_function
from numpy import inf
import toolz
import datashape
from datashape import Record, DataShape, dshape, TimeDelta
from datashape import coretypes as ct
from datashape.predicates import iscollection, isboolean, isnumeric, isdatelike
from .core import com... | {
"repo_name": "dwillmer/blaze",
"path": "blaze/expr/reductions.py",
"copies": "1",
"size": "8872",
"license": "bsd-3-clause",
"hash": 4537954242533676000,
"line_mean": 26.2147239264,
"line_max": 80,
"alpha_frac": 0.561767358,
"autogenerated": false,
"ratio": 3.756138865368332,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from .object_hook import object_hook, register
import werkzeug.exceptions as wz_ex
from blaze.compatibility import builtins, reduce
import numpy as np
import pandas as pd
_converters_trusted = object_hook._converters.copy()
def object_hook_trusted(ob,... | {
"repo_name": "ContinuumIO/blaze",
"path": "blaze/server/serialization/object_hook_trusted.py",
"copies": "3",
"size": "1121",
"license": "bsd-3-clause",
"hash": 4076010981351232000,
"line_mean": 31.0285714286,
"line_max": 76,
"alpha_frac": 0.6949152542,
"autogenerated": false,
"ratio": 3.9893238... |
from __future__ import (absolute_import, division, print_function)
from odm2api.base import modelBase
from sqlalchemy import BigInteger, Boolean, Column, Date, DateTime, Float, ForeignKey, Integer, String, case
from sqlalchemy.dialects import mysql, postgresql, sqlite
from sqlalchemy.orm import relationship
Base = m... | {
"repo_name": "ODM2/ODM2PythonAPI",
"path": "odm2api/models.py",
"copies": "1",
"size": "91033",
"license": "bsd-3-clause",
"hash": 1418426195318752800,
"line_mean": 46.167357513,
"line_max": 110,
"alpha_frac": 0.7172893346,
"autogenerated": false,
"ratio": 4.33098625053523,
"config_test": fals... |
from __future__ import (absolute_import, division, print_function)
from odm2api.ODMconnection import dbconnection
from odm2api.models import CVElevationDatum
import pytest
from sqlalchemy.engine import reflection
__author__ = 'valentine'
dbs_readonly = [
['mysql_odm2_odm', 'mysql', 'localhost', 'odm2', 'ODM',... | {
"repo_name": "ODM2/ODM2PythonAPI",
"path": "tests/test_connection.py",
"copies": "1",
"size": "1559",
"license": "bsd-3-clause",
"hash": 1969935578429236500,
"line_mean": 27.8703703704,
"line_max": 102,
"alpha_frac": 0.6619627967,
"autogenerated": false,
"ratio": 3.241164241164241,
"config_tes... |
from __future__ import (absolute_import, division, print_function)
from odm2api.ODMconnection import SessionFactory
from odm2api.models import CVElevationDatum, setSchema
import pytest
__author__ = 'valentine'
dbs_readonly = [
['mysql:ODM@Localhost/', 'mysql', 'mysql+pymysql://ODM:odm@localhost/'],
['mysql... | {
"repo_name": "ODM2/ODM2PythonAPI",
"path": "tests/test_SessionFactory.py",
"copies": "1",
"size": "1682",
"license": "bsd-3-clause",
"hash": 7110009812174243000,
"line_mean": 34.0416666667,
"line_max": 98,
"alpha_frac": 0.6831153389,
"autogenerated": false,
"ratio": 3.2284069097888675,
"config... |
from __future__ import absolute_import, division, print_function
from odo.core import NetworkDispatcher, path
from datashape import discover
d = NetworkDispatcher('foo')
@d.register(float, int, cost=1.0)
def f(x, **kwargs):
return float(x)
@d.register(str, float, cost=1.0)
def g(x, **kwargs):
return str(x)
... | {
"repo_name": "Dannnno/odo",
"path": "odo/tests/test_core.py",
"copies": "3",
"size": "1515",
"license": "bsd-3-clause",
"hash": 6266833701682457000,
"line_mean": 26.5454545455,
"line_max": 81,
"alpha_frac": 0.596039604,
"autogenerated": false,
"ratio": 2.8747628083491463,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from oem_core.core.plugin import PluginManager
from oem_framework.plugin import Plugin
from oem_framework.storage import ProviderStorage
class Provider(Plugin):
def __init__(self, storage):
self._storage = storage
self._client = No... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/core/providers/base.py",
"copies": "1",
"size": "1564",
"license": "bsd-3-clause",
"hash": 7217312248077255000,
"line_mean": 21.6666666667,
"line_max": 78,
"alpha_frac": 0.6221227621,
"autogenerated": false,
"ratio": 4.533333333333333,
"con... |
from __future__ import absolute_import, division, print_function
from oem.core.exceptions import AbsoluteNumberRequiredError
from oem.media.movie.identifier import MovieIdentifier
from oem.media.show.identifier import EpisodeIdentifier
from oem.media.show.match import EpisodeMatch
from oem_framework.core.helpers impor... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/show/mapper.py",
"copies": "1",
"size": "10001",
"license": "bsd-3-clause",
"hash": 5635340066726829000,
"line_mean": 30.9520766773,
"line_max": 116,
"alpha_frac": 0.5608439156,
"autogenerated": false,
"ratio": 5.076649746192893,
"con... |
from __future__ import absolute_import, division, print_function
from oem.core.providers.base import Provider
from oem.version import __version__
from oem_core.core.plugin import PluginManager
import inspect
import logging
import six
log = logging.getLogger(__name__)
class Client(object):
version = __version__... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/client.py",
"copies": "1",
"size": "4409",
"license": "bsd-3-clause",
"hash": -1233422667628177700,
"line_mean": 28.3933333333,
"line_max": 94,
"alpha_frac": 0.5788160581,
"autogenerated": false,
"ratio": 4.621593291404612,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from oem_framework.core.elapsed import Elapsed
from oem_framework.plugin import Plugin
import logging
log = logging.getLogger(__name__)
class Service(Plugin):
__databases__ = {}
__packages__ = {}
__services__ = {}
def __init__(self, ... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/core/services/base.py",
"copies": "1",
"size": "2285",
"license": "bsd-3-clause",
"hash": -7651818612636543000,
"line_mean": 23.8369565217,
"line_max": 114,
"alpha_frac": 0.572428884,
"autogenerated": false,
"ratio": 4.215867158671586,
"con... |
from __future__ import absolute_import, division, print_function
from oem.media.core.base.identifier import Identifier
class EpisodeIdentifier(Identifier):
__slots__ = ['season_num', 'episode_num', 'absolute_num', 'progress']
def __init__(self, season_num=None, episode_num=None, absolute_num=None, progress=... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/show/identifier.py",
"copies": "1",
"size": "2086",
"license": "bsd-3-clause",
"hash": -8820015782052436000,
"line_mean": 27.9722222222,
"line_max": 103,
"alpha_frac": 0.5570469799,
"autogenerated": false,
"ratio": 3.9657794676806084,
... |
from __future__ import absolute_import, division, print_function
from oem.media.movie.identifier import MovieIdentifier
from oem.media.movie.match import MovieMatch
from oem.media.show import EpisodeIdentifier
from copy import deepcopy
class MovieMapper(object):
def __init__(self, service):
self._servic... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/movie/mapper.py",
"copies": "1",
"size": "2523",
"license": "bsd-3-clause",
"hash": -6386671481307321000,
"line_mean": 26.4239130435,
"line_max": 107,
"alpha_frac": 0.6155370591,
"autogenerated": false,
"ratio": 5.005952380952381,
"co... |
from __future__ import absolute_import, division, print_function
from oem.media.movie.identifier import MovieIdentifier
class MovieMatch(MovieIdentifier):
def __init__(self, identifiers, progress=None):
super(MovieMatch, self).__init__(progress)
self.identifiers = identifiers or {}
def to_d... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/movie/match.py",
"copies": "1",
"size": "1147",
"license": "bsd-3-clause",
"hash": -5334837377906126000,
"line_mean": 26.3095238095,
"line_max": 96,
"alpha_frac": 0.508282476,
"autogenerated": false,
"ratio": 4.361216730038023,
"confi... |
from __future__ import absolute_import, division, print_function
from oem.media.show.identifier import EpisodeIdentifier
class EpisodeMatch(EpisodeIdentifier):
def __init__(self, identifiers, season_num=None, episode_num=None, absolute_num=None,
progress=None, part=None, mappings=None):
... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/show/match.py",
"copies": "1",
"size": "2241",
"license": "bsd-3-clause",
"hash": -9010289649903734000,
"line_mean": 29.2837837838,
"line_max": 96,
"alpha_frac": 0.5408299866,
"autogenerated": false,
"ratio": 4.111926605504587,
"confi... |
from __future__ import absolute_import, division, print_function
from operator import add, getitem
import inspect
from collections import Iterable
from bisect import bisect
import operator
import math
from itertools import product, count
from collections import Iterator
from functools import partial, wraps
from toolz.... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/array/core.py",
"copies": "1",
"size": "35780",
"license": "bsd-3-clause",
"hash": 3056052325529438000,
"line_mean": 30.719858156,
"line_max": 107,
"alpha_frac": 0.5531861375,
"autogenerated": false,
"ratio": 3.2726607518521904,
"config_test":... |
from __future__ import absolute_import, division, print_function
from operator import add
from copy import deepcopy
import dask
import pytest
from dask.async import *
fib_dask = {'f0': 0, 'f1': 1, 'f2': 1, 'f3': 2, 'f4': 3, 'f5': 5, 'f6': 8}
def test_start_state():
dsk = {'x': 1, 'y': 2, 'z': (inc, 'x'), 'w'... | {
"repo_name": "vikhyat/dask",
"path": "dask/tests/test_async.py",
"copies": "1",
"size": "5332",
"license": "bsd-3-clause",
"hash": 3231773629763026000,
"line_mean": 27.2116402116,
"line_max": 75,
"alpha_frac": 0.4441110278,
"autogenerated": false,
"ratio": 3.210114388922336,
"config_test": tru... |
from __future__ import absolute_import, division, print_function
from operator import add
from itertools import chain
def inc(x):
return x + 1
def ishashable(x):
""" Is x hashable?
Example
-------
>>> ishashable(1)
True
>>> ishashable([1])
False
"""
try:
hash(x)
... | {
"repo_name": "PeterDSteinberg/dask",
"path": "dask/core.py",
"copies": "1",
"size": "9803",
"license": "bsd-3-clause",
"hash": -4226190287708716000,
"line_mean": 24.4623376623,
"line_max": 84,
"alpha_frac": 0.4957666021,
"autogenerated": false,
"ratio": 3.67016098839386,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from operator import add
from itertools import chain
def inc(x):
return x + 1
def ishashable(x):
""" Is x hashable?
Examples
--------
>>> ishashable(1)
True
>>> ishashable([1])
False
"""
try:
hash(x)
... | {
"repo_name": "mikegraham/dask",
"path": "dask/core.py",
"copies": "1",
"size": "11813",
"license": "bsd-3-clause",
"hash": 8167303752778612000,
"line_mean": 24.8490153173,
"line_max": 84,
"alpha_frac": 0.5012274613,
"autogenerated": false,
"ratio": 3.658408175905853,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
from operator import attrgetter
import os
import re
import subprocess
from itertools import chain
from collections import Iterator
from datetime import datetime, date
from distutils.spawn import find_executable
import pandas as pd
import sqlalchemy as ... | {
"repo_name": "cowlicks/odo",
"path": "odo/backends/sql.py",
"copies": "1",
"size": "25054",
"license": "bsd-3-clause",
"hash": 2545432010387069000,
"line_mean": 33.462173315,
"line_max": 113,
"alpha_frac": 0.6141933424,
"autogenerated": false,
"ratio": 3.7607325127589313,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from operator import getitem
from functools import partial
import numpy as np
from toolz import curry
from .core import Array, elemwise, atop, apply_infer_dtype, asarray
from ..base import Base
from .. import core, sharedict
from ..utils import skip_do... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/ufunc.py",
"copies": "1",
"size": "8125",
"license": "bsd-3-clause",
"hash": 3994483543135494700,
"line_mean": 30.25,
"line_max": 92,
"alpha_frac": 0.6235076923,
"autogenerated": false,
"ratio": 3.1190019193857967,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
from operator import getitem
from itertools import product
from toolz import merge, pipe, concat, partial
from toolz.curried import map
from . import chunk, wrap
from .core import Array, map_blocks, concatenate, concatenate3, reshapelist
from .. import... | {
"repo_name": "mraspaud/dask",
"path": "dask/array/ghost.py",
"copies": "1",
"size": "12823",
"license": "bsd-3-clause",
"hash": -8458673774919209000,
"line_mean": 30.199513382,
"line_max": 93,
"alpha_frac": 0.5181314825,
"autogenerated": false,
"ratio": 3.179518968509794,
"config_test": true,
... |
from __future__ import absolute_import, division, print_function
from operator import getitem
from itertools import product
from toolz import merge, pipe, concat, partition, partial
from toolz.curried import map
from ..base import tokenize
from ..core import flatten
from ..utils import concrete
from .core import Arr... | {
"repo_name": "cowlicks/dask",
"path": "dask/array/ghost.py",
"copies": "5",
"size": "12873",
"license": "bsd-3-clause",
"hash": -7447980645462090000,
"line_mean": 29.65,
"line_max": 93,
"alpha_frac": 0.5153421891,
"autogenerated": false,
"ratio": 3.184021766015335,
"config_test": true,
"has_... |
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