text stringlengths 0 1.05M | meta dict |
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from __future__ import absolute_import, division, print_function
__metaclass__ = type
import errno
import six
import socket
import ssl
from abc import ABCMeta, abstractmethod
import logging
from threading import RLock
from ssl import SSLError
import datetime
import time
from . import compat
from .proto import Frame
f... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/transport.py",
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"size": "11809",
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from __future__ import absolute_import, division, print_function
__metaclass__ = type
import gc
import os
from signal import SIGHUP
import threading
import time
import signal
from amqpy.login import login_response_plain
import pytest
from .. import Channel, NotFound, FrameError, spec, Connection
from ..proto import ... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/tests/test_connection.py",
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from __future__ import absolute_import, division, print_function
__metaclass__ = type
import logging
import time
from functools import wraps
from . import compat
compat.patch() # monkey-patch time.perf_counter
log = logging.getLogger('amqpy')
def synchronized(lock_name):
"""Decorator for automatically acquir... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/concurrency.py",
"copies": "1",
"size": "2841",
"license": "mit",
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"alpha_frac": 0.5705737416,
"autogenerated": false,
"ratio": 4.397832817337461,
"config_test": false,
"has_... |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import logging
from .. import Message, AbstractConsumer
from ..exceptions import Timeout
log = logging.getLogger('amqpy')
class Consumer(AbstractConsumer):
def run(self, msg):
log.info('{.consumer_tag} received messa... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/tests/test_consumer.py",
"copies": "1",
"size": "2747",
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... |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import zipfile
import tarfile
import os
from ansible.plugins.action import ActionBase
from ansible.utils.display import Display
display = Display()
class ActionModule(ActionBase):
def run(self, tmp=None, task_vars=None):
... | {
"repo_name": "GoogleCloudPlatform/sap-deployment-automation",
"path": "third_party/github.com/ansible/awx/awx/playbooks/action_plugins/project_archive.py",
"copies": "1",
"size": "2493",
"license": "apache-2.0",
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from __future__ import absolute_import, division, print_function
__metaclass__ = type
"""
monotonic
~~~~~~~~~
This module provides a ``monotonic()`` function which returns the
value (in fractional seconds) of a clock which never goes backwards.
On Python 3.3 or newer, ``monotonic`` will be an alias of
``... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/support/monotonic.py",
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... |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
# see https://wiki.python.org/moin/PortingToPy3k/BilingualQuickRef
from os.path import join, basename
from astwro.exttools import Runner
from astwro.config import find_opt_file
#TODO: suport for configuration and conf files (xommon ... | {
"repo_name": "majkelx/astwro",
"path": "astwro/sex/Sextractor.py",
"copies": "1",
"size": "3625",
"license": "mit",
"hash": -47987725864221290,
"line_mean": 31.6576576577,
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"alpha_frac": 0.6284137931,
"autogenerated": false,
"ratio": 3.877005347593583,
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"... |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
# see https://wiki.python.org/moin/PortingToPy3k/BilingualQuickRef
from os.path import join, basename, splitext
from astwro.exttools import Runner
from astwro.config import find_opt_file
from .Sextractor import SexResults
class Sca... | {
"repo_name": "majkelx/astwro",
"path": "astwro/sex/Scamp.py",
"copies": "1",
"size": "3074",
"license": "mit",
"hash": 8100846608023938000,
"line_mean": 28.2761904762,
"line_max": 97,
"alpha_frac": 0.6255692908,
"autogenerated": false,
"ratio": 3.915923566878981,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division, print_function
"""
A module for encoding utils
"""
import io
import re
import six
# From IPython.utils.openpy
try:
from tokenize import detect_encoding
except ImportError:
from codecs import lookup, BOM_UTF8
# things we rely on and need to put it in cach... | {
"repo_name": "asmodehn/filefinder2",
"path": "filefinder2/_encoding_utils.py",
"copies": "1",
"size": "5398",
"license": "mit",
"hash": -2995716072463476700,
"line_mean": 32.3209876543,
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"autogenerated": false,
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"config_test... |
from __future__ import absolute_import, division, print_function
"""
A module for utils
"""
# We need to be extra careful with python versions
# Ref : https://docs.python.org/2/library/modules.html?highlight=imports
# Ref : https://docs.python.org/3/library/modules.html?highlight=imports
import os
import sys
def _v... | {
"repo_name": "asmodehn/filefinder2",
"path": "filefinder2/_utils.py",
"copies": "1",
"size": "1147",
"license": "mit",
"hash": -4354857201007341000,
"line_mean": 32.7352941176,
"line_max": 72,
"alpha_frac": 0.6556233653,
"autogenerated": false,
"ratio": 3.941580756013746,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
class ApprException(Exception):
status_code = 500
errorcode = "internal-error"
def __init__(self, message, payload=None):
super(ApprException, self).__init__()
self.payload = dict(payload or ())
self.message = messag... | {
"repo_name": "cn-app-registry/cnr-server",
"path": "appr/exception.py",
"copies": "2",
"size": "2930",
"license": "apache-2.0",
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"line_max": 99,
"alpha_frac": 0.6392491468,
"autogenerated": false,
"ratio": 3.970189701897019,
"config_test... |
from __future__ import absolute_import, division, print_function
class CurrencyAmount(object):
""" Amount of some given currency.
Protects against naively adding amounts in different currencies.
"""
# TODO Vectorize
def __init__(self, amount, currency):
self.amount = amount
se... | {
"repo_name": "caseyclements/pennies",
"path": "pennies/__init__.py",
"copies": "1",
"size": "4982",
"license": "apache-2.0",
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"alpha_frac": 0.5895222802,
"autogenerated": false,
"ratio": 4.566452795600367,
"config_test": f... |
from __future__ import absolute_import, division, print_function
class FrozenError(AttributeError):
"""
A frozen/immutable instance or attribute haave been attempted to be
modified.
It mirrors the behavior of ``namedtuples`` by using the same error message
and subclassing `AttributeError`.
.... | {
"repo_name": "pantsbuild/pex",
"path": "pex/vendor/_vendored/attrs/attr/exceptions.py",
"copies": "9",
"size": "1950",
"license": "apache-2.0",
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"alpha_frac": 0.6343589744,
"autogenerated": false,
"ratio": 4.12262156448203,... |
from __future__ import absolute_import, division, print_function
class FrozenError(AttributeError):
"""
A frozen/immutable instance or attribute have been attempted to be
modified.
It mirrors the behavior of ``namedtuples`` by using the same error message
and subclassing `AttributeError`.
..... | {
"repo_name": "python-attrs/attrs",
"path": "src/attr/exceptions.py",
"copies": "2",
"size": "1949",
"license": "mit",
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"line_mean": 20.1847826087,
"line_max": 78,
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"autogenerated": false,
"ratio": 4.129237288135593,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
class Identifier(object):
@property
def valid(self):
return False
def to_dict(self):
raise NotImplementedError
def to_frozenset(self, data=None):
if data is None:
data = self.to_dict()
if ty... | {
"repo_name": "OpenEntityMap/oem-client",
"path": "oem/media/core/base/identifier.py",
"copies": "1",
"size": "1178",
"license": "bsd-3-clause",
"hash": -4771432578384559000,
"line_mean": 22.0980392157,
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"alpha_frac": 0.4974533107,
"autogenerated": false,
"ratio": 4.445283018867925... |
from __future__ import (absolute_import, division, print_function)
class MantidScriptHandler(object):
script = None
def __init__(self, parameters=None, run=None):
script = "SNSPowderReduction( Filename = '{}',\n \
MaxChunkSize = {}, \n \
PreserveEvents = {}, \n \
PushDataPos... | {
"repo_name": "neutrons/FastGR",
"path": "addie/processing/idl/mantid_script_handler.py",
"copies": "1",
"size": "2548",
"license": "mit",
"hash": 2212594812738616600,
"line_mean": 46.1851851852,
"line_max": 80,
"alpha_frac": 0.4148351648,
"autogenerated": false,
"ratio": 5.352941176470588,
"co... |
from __future__ import (absolute_import, division, print_function)
class Namespaces(object):
"""
Class for holding and maniputlating a dictionary containing the various namespaces for
each standard.
"""
namespace_dict = {
'atom' : 'http://www.w3.org/2005/Atom',
'csw' ... | {
"repo_name": "b-cube/pipeline-demo",
"path": "demo/bcube_owslib/namespaces.py",
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"size": "5547",
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"ratio": 3.1023489932885906,
"config_te... |
from __future__ import (absolute_import, division, print_function)
class serviceBase(object):
def __init__(self, session_factory, debug=False):
"""Must send in either a session_factory."""
self._session_factory = session_factory
self._session = self._session_factory.getSession()
... | {
"repo_name": "ODM2/ODM2PythonAPI",
"path": "odm2api/base.py",
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"autogenerated": false,
"ratio": 4.018867924528302,
"config_test": false... |
from __future__ import (absolute_import, division, print_function)
class Step1Utilities(object):
def __init__(self, main_window=None):
self.main_window = main_window
def is_diamond_text_empty(self):
_diamond_field = str(self.main_window.autonom_ui.diamond.text()).strip().replace(" ", "")
... | {
"repo_name": "neutrons/FastGR",
"path": "addie/autoNOM/step1_utilities.py",
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"size": "1894",
"license": "mit",
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"alpha_frac": 0.5876451954,
"autogenerated": false,
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"config_test"... |
from __future__ import absolute_import, division, print_function
class VisitorHistory(object):
"""
``VisitorHistory`` objects store fully or partially aggregated state about
the previous events related to a given visitor. Instances of this class are
intended to be stored with a reference to the visito... | {
"repo_name": "storborg/manhattan",
"path": "manhattan/backend/model.py",
"copies": "1",
"size": "2015",
"license": "mit",
"hash": 8321024497616162000,
"line_mean": 34.350877193,
"line_max": 79,
"alpha_frac": 0.6461538462,
"autogenerated": false,
"ratio": 4.278131634819533,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed ... | {
"repo_name": "JWDebelius/scikit-bio",
"path": "skbio/tree/_majority_rule.py",
"copies": "2",
"size": "11013",
"license": "bsd-3-clause",
"hash": 9112306109940162000,
"line_mean": 34.8729641694,
"line_max": 79,
"alpha_frac": 0.5386361573,
"autogenerated": false,
"ratio": 3.962936308024469,
"con... |
from __future__ import absolute_import, division, print_function
def filter_hdulist_by_shape(hdulist, use_hdu='all'):
"""
Remove empty HDUs, and ensure that all HDUs can be
packed into a single Data object (ie have the same shape)
Parameters
----------
use_hdu : 'all' or list of integers (opt... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/data_factories/io.py",
"copies": "1",
"size": "3727",
"license": "bsd-3-clause",
"hash": 4740536820061952000,
"line_mean": 28.816,
"line_max": 74,
"alpha_frac": 0.6452911189,
"autogenerated": false,
"ratio": 3.7419678714859437,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
'''
From https://github.com/fchollet/deep-learning-models
'''
import json
from keras.utils.data_utils import get_file
from keras import backend as K
import numpy as np
CLASS_INDEX = None
CLASS_INDEX_PATH = 'https://s3.amazonaws.com/deep-learning-m... | {
"repo_name": "keplr-io/quiver",
"path": "quiver_engine/imagenet_utils.py",
"copies": "1",
"size": "2049",
"license": "mit",
"hash": 1149729683121910100,
"line_mean": 31.5238095238,
"line_max": 105,
"alpha_frac": 0.5275744265,
"autogenerated": false,
"ratio": 3.5696864111498257,
"config_test": ... |
from __future__ import absolute_import, division, print_function
import datashape
from datashape import DataShape, Option, Record, Unit, dshape, var, Fixed, Var
from datashape.predicates import isscalar, iscollection, isrecord
from toolz import (
isdistinct, frequencies, concat as tconcat, unique, get, first,
)
f... | {
"repo_name": "scls19fr/blaze",
"path": "blaze/expr/collections.py",
"copies": "6",
"size": "18724",
"license": "bsd-3-clause",
"hash": -4491809594082047000,
"line_mean": 26.8630952381,
"line_max": 79,
"alpha_frac": 0.5464644307,
"autogenerated": false,
"ratio": 3.7018584420719653,
"config_test... |
from __future__ import absolute_import, division, print_function
IMPORT_LIB = r'^import\s+([\w\.]+)'
FROM_IMPORT_LIB = r'^from\s+([\w\.]+)\s+import'
TRIPLE_DOUBLE = '"""'
TRIPLE_SINGLE = "'''"
def _is_hash_a_comment(s):
return ("'" not in s or s.index('#') < s.index("'")) and ('"' not in s or s.index('#') < s.... | {
"repo_name": "bootandy/imps",
"path": "imps/strings.py",
"copies": "1",
"size": "1951",
"license": "apache-2.0",
"hash": 6554600673643824000,
"line_mean": 27.6911764706,
"line_max": 106,
"alpha_frac": 0.5504869298,
"autogenerated": false,
"ratio": 3.156957928802589,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
import os
import re
import socket
import sys
from itertools import count
from functools import partial
from subprocess import Popen
from subprocess import PIPE
from time import sleep
import click
from distutils.spawn import find_executable
from comp... | {
"repo_name": "novafloss/bag8",
"path": "bag8/utils.py",
"copies": "1",
"size": "2243",
"license": "mit",
"hash": -8531375075510445000,
"line_mean": 20.1603773585,
"line_max": 66,
"alpha_frac": 0.6192599198,
"autogenerated": false,
"ratio": 3.6003210272873196,
"config_test": false,
"has_no_ke... |
from __future__ import (absolute_import, division, print_function)
import sys
import warnings
try:
from setuptools import setup
except ImportError:
try:
from setuptools.core import setup
except ImportError:
from distutils.core import setup
from distutils.core import setup, Extension
impor... | {
"repo_name": "giltis/xray-vision",
"path": "setup.py",
"copies": "3",
"size": "2090",
"license": "bsd-3-clause",
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"line_max": 69,
"alpha_frac": 0.5263157895,
"autogenerated": false,
"ratio": 4.163346613545817,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
"""
A module for spec utils
"""
# We need to be extra careful with python versions
# Ref : https://docs.python.org/2/library/modules.html?highlight=imports
# Ref : https://docs.python.org/3/library/modules.html?highlight=imports
import os
import sys
... | {
"repo_name": "asmodehn/filefinder2",
"path": "filefinder2/_module_utils.py",
"copies": "1",
"size": "12603",
"license": "mit",
"hash": -35201387478491412,
"line_mean": 36.9608433735,
"line_max": 83,
"alpha_frac": 0.5608981988,
"autogenerated": false,
"ratio": 4.222110552763819,
"config_test": ... |
from __future__ import absolute_import, division, print_function
"""
JVM Gateway
"""
import os
import sys
import subprocess
import time
import logging
import py4j
from threading import Thread
from py4j.java_gateway import JavaGateway, GatewayClient, launch_gateway, java_import
logging.basicConfig()
logger = loggi... | {
"repo_name": "ContinuumIO/nutchpy",
"path": "nutchpy/JVM.py",
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"size": "2694",
"license": "apache-2.0",
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"line_mean": 27.0625,
"line_max": 104,
"alpha_frac": 0.6525612472,
"autogenerated": false,
"ratio": 3.4941634241245136,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
"""
Say 'yes' to types but 'no' to typing!
"""
__version__ = "0.2.0dev"
__author__ = "Hynek Schlawack"
__license__ = "MIT"
__copyright__ = "Copyright 2014 Hynek Schlawack"
def with_cmp(attrs):
"""
A class decorator that adds comparison method... | {
"repo_name": "alex/characteristic",
"path": "characteristic.py",
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"size": "4254",
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"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
"""
Test for lib_module
Reference : http://pythontesting.net/framework/nose/nose-introduction/
"""
import unittest
try:
# Python >= 3.3
import unittest.mock as mock
except ImportError:
import mock as mock
import pytest
try:
from io imp... | {
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"path": "ros1_pip_pytemplate/ros1_pip_pytemplate/tests/test_lib_module_embedded.py",
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"autogenerated": fals... |
from __future__ import absolute_import, division, print_function
"""
This is for 3D selection in Glue 3d scatter plot viewer.
"""
import math
import numpy as np
try:
from sklearn.neighbors import NearestNeighbors
SKLEARN_INSTALLED = True
except ImportError:
SKLEARN_INSTALLED = False
from glue.core impo... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/scatter/scatter_toolbar.py",
"copies": "1",
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"autogenerated": false,
"ratio": 4.273584... |
from __future__ import absolute_import, division, print_function
"""
This is for 3D selection in Glue 3d scatter plot viewer.
"""
import numpy as np
from glue.config import viewer_tool
from glue.core.roi import Roi, Projected3dROI
from ..common.selection_tools import VispyMouseMode
class NearestNeighborROI(Roi):
... | {
"repo_name": "astrofrog/glue-vispy-viewers",
"path": "glue_vispy_viewers/scatter/scatter_toolbar.py",
"copies": "2",
"size": "1875",
"license": "bsd-2-clause",
"hash": 922404011067260900,
"line_mean": 24.6849315068,
"line_max": 86,
"alpha_frac": 0.568,
"autogenerated": false,
"ratio": 3.49813432... |
from __future__ import absolute_import, division, print_function
"""
This is for 3D selection in Glue 3d scatter plot viewer.
"""
import numpy as np
from glue.core import Data
from glue.config import viewer_tool
from glue.core.roi import RectangularROI, CircularROI
from glue.viewers.common.qt.tool import CheckableTo... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/common/selection_tools.py",
"copies": "1",
"size": "10992",
"license": "bsd-2-clause",
"hash": -110542073372431600,
"line_mean": 32.4103343465,
"line_max": 98,
"alpha_frac": 0.5932496361,
"autogenerated": false,
"ratio": 3.7786180... |
from __future__ import absolute_import, division, print_function
"""
This is for 3D selection in Glue 3d volume rendering viewer, with shape selection and advanced
selection (not available now).
"""
import math
import numpy as np
from glue.core import Subset
from glue.config import viewer_tool
from ..common.toolba... | {
"repo_name": "PennyQ/glue-3d-viewer",
"path": "glue_vispy_viewers/volume/volume_toolbar.py",
"copies": "1",
"size": "7866",
"license": "bsd-2-clause",
"hash": 2754376998310729700,
"line_mean": 35.4166666667,
"line_max": 94,
"alpha_frac": 0.5729722858,
"autogenerated": false,
"ratio": 3.585232452... |
from __future__ import absolute_import, division, print_function
OPTIONS = {
'display_width': 80,
'arithmetic_join': 'inner',
'enable_cftimeindex': False
}
class set_options(object):
"""Set options for xarray in a controlled context.
Currently supported options:
- ``display_width``: maximum... | {
"repo_name": "jcmgray/xarray",
"path": "xarray/core/options.py",
"copies": "1",
"size": "1588",
"license": "apache-2.0",
"hash": -662777179104357000,
"line_mean": 28.9622641509,
"line_max": 78,
"alpha_frac": 0.6007556675,
"autogenerated": false,
"ratio": 3.882640586797066,
"config_test": false... |
from __future__ import absolute_import, division, print_function
# note: py.io capture tests where copied from
# pylib 1.4.20.dev2 (rev 13d9af95547e)
from __future__ import with_statement
import pickle
import os
import sys
from io import UnsupportedOperation
import _pytest._code
import py
import pytest
import contextl... | {
"repo_name": "MichaelAquilina/pytest",
"path": "testing/test_capture.py",
"copies": "1",
"size": "36309",
"license": "mit",
"hash": 204528762613949060,
"line_mean": 29.8225806452,
"line_max": 97,
"alpha_frac": 0.5506899116,
"autogenerated": false,
"ratio": 3.9821232726475104,
"config_test": tr... |
from __future__ import (absolute_import, division, print_function)
# NOTE: unicode_literals removed from __future__ due to issues with cherrypy
import logging
import time
import sys
import cherrypy
import pprint
import json
import boundary_plugin
import boundary_accumulator
class BrixbitsApp(object):
def __init_... | {
"repo_name": "BoundaryDev/boundary-plugin-brixbits-poc",
"path": "plugin.py",
"copies": "1",
"size": "7393",
"license": "apache-2.0",
"hash": 863301044580857000,
"line_mean": 45.7911392405,
"line_max": 110,
"alpha_frac": 0.6163938861,
"autogenerated": false,
"ratio": 3.6293568973981345,
"confi... |
from __future__ import absolute_import, division, print_function
# pylint: disable=wildcard-import,redefined-builtin,unused-wildcard-import
from builtins import *
# pylint: enable=wildcard-import,redefined-builtin,unused-wildcard-import
from io import StringIO
import pandas as pd
# pylint: disable=import-error
from... | {
"repo_name": "jrderuiter/pybiomart",
"path": "src/pybiomart/mart.py",
"copies": "1",
"size": "4194",
"license": "mit",
"hash": 8835436125980904000,
"line_mean": 31.765625,
"line_max": 77,
"alpha_frac": 0.5939437291,
"autogenerated": false,
"ratio": 4.127952755905512,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
"""
The LinkManager class is responsible for maintaining the conistency
of the "web of links" in a DataCollection. It discovers how to
combine ComponentLinks together to discover all of the ComponentIDs
that a Data object can derive,
As a trivial example... | {
"repo_name": "JudoWill/glue",
"path": "glue/core/link_manager.py",
"copies": "1",
"size": "6984",
"license": "bsd-3-clause",
"hash": -4244539079751018000,
"line_mean": 29.7665198238,
"line_max": 78,
"alpha_frac": 0.6033791523,
"autogenerated": false,
"ratio": 4.1745367603108186,
"config_test":... |
from __future__ import absolute_import, division, print_function
THEMES = ["classic", "vim", "dark vim", "midnight", "solarized", "agr-256", "monokai", "monokai-256"]
from pudb.py3compat import execfile, raw_input
import urwid
def get_palette(may_use_fancy_formats, theme="classic"):
if may_use_fancy_formats:
... | {
"repo_name": "albfan/pudb",
"path": "pudb/theme.py",
"copies": "1",
"size": "38702",
"license": "mit",
"hash": -246185625876987600,
"line_mean": 38.2913705584,
"line_max": 108,
"alpha_frac": 0.4913441166,
"autogenerated": false,
"ratio": 4.151238871607852,
"config_test": false,
"has_no_keywo... |
from __future__ import absolute_import, division, print_function
"""
The rechunk module defines:
intersect_chunks: a function for
converting chunks to new dimensions
rechunk: a function to convert the blocks
of an existing dask array to new chunks or blockshape
"""
from itertools import count, ... | {
"repo_name": "marianotepper/dask",
"path": "dask/array/rechunk.py",
"copies": "2",
"size": "7667",
"license": "bsd-3-clause",
"hash": 6063678160818981000,
"line_mean": 32.6271929825,
"line_max": 89,
"alpha_frac": 0.5488457024,
"autogenerated": false,
"ratio": 3.1668731928954976,
"config_test":... |
from __future__ import absolute_import, division, print_function
# Third-party
import numpy as np
from numpy.testing import assert_array_equal
# Package
from glue.core import data_factories as df
def test_npy_load(tmpdir):
data = np.array([("a",152.2352,-21.513), ("b",21.412,35.1341)],
dtype=... | {
"repo_name": "saimn/glue",
"path": "glue/core/data_factories/tests/test_numpy.py",
"copies": "2",
"size": "1569",
"license": "bsd-3-clause",
"hash": 4988003828737545000,
"line_mean": 34.6590909091,
"line_max": 76,
"alpha_frac": 0.5595920969,
"autogenerated": false,
"ratio": 3.0173076923076922,
... |
from __future__ import absolute_import, division, print_function
"""
This module contains some example ``Rollup`` objects, each implementing the
interface expected by the Manhattan backend for rollup aggregations.
"""
import time
from datetime import datetime, timedelta
import pytz
class LocalRollup(object):
d... | {
"repo_name": "storborg/manhattan",
"path": "manhattan/backend/rollups.py",
"copies": "1",
"size": "1756",
"license": "mit",
"hash": -3280859895393880000,
"line_mean": 26.873015873,
"line_max": 77,
"alpha_frac": 0.6514806378,
"autogenerated": false,
"ratio": 3.834061135371179,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
# This should be moved to llvmpy
#
# There are different array kinds parameterized by eltype and nd
#
# Contiguous or Fortran
# struct {
# eltype *data;
# intp shape[nd];
# void *meta;
# } contiguous_array(eltype, nd)
#
# struct {
# eltype *d... | {
"repo_name": "xsixing/blaze",
"path": "blaze/compute/llvm_array.py",
"copies": "2",
"size": "25281",
"license": "bsd-3-clause",
"hash": 6182586962852621000,
"line_mean": 31.1641221374,
"line_max": 92,
"alpha_frac": 0.5919069657,
"autogenerated": false,
"ratio": 3.431654676258993,
"config_test"... |
from __future__ import absolute_import, division, print_function
try:
from collections import OrderedDict
except ImportError:
from ordereddict import OrderedDict
from collections import defaultdict
import datetime
import itertools
import enum
from psycopg2.extensions import AsIs, ISQLQuote
import pytz
impo... | {
"repo_name": "BurntSushi/nfldb",
"path": "nfldb/types.py",
"copies": "1",
"size": "87567",
"license": "unlicense",
"hash": -4909060185579621000,
"line_mean": 34.5385551948,
"line_max": 80,
"alpha_frac": 0.5660808295,
"autogenerated": false,
"ratio": 3.8315830926752428,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
try:
from specter.psf import load_psf
nospecter = False
except ImportError:
from desiutil.log import get_logger
log = get_logger()
log.error('specter not installed; skipping extraction tests')
nospecter = True
import unittest
imp... | {
"repo_name": "desihub/desispec",
"path": "py/desispec/test/test_extract.py",
"copies": "1",
"size": "6596",
"license": "bsd-3-clause",
"hash": 6476238949012834000,
"line_mean": 41.2820512821,
"line_max": 147,
"alpha_frac": 0.6400848999,
"autogenerated": false,
"ratio": 3.1499522445081185,
"con... |
from __future__ import absolute_import, division, print_function
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import greplin.scales
import greplin.scales.formats
import greplin.scales.util
def scales_stats(request):
parts = request.matchdict.get('prefix')
path = '/'... | {
"repo_name": "wosc/pyramid_scales",
"path": "src/pyramid_scales/__init__.py",
"copies": "1",
"size": "1480",
"license": "bsd-3-clause",
"hash": 780143237284034700,
"line_mean": 34.2380952381,
"line_max": 78,
"alpha_frac": 0.6844594595,
"autogenerated": false,
"ratio": 3.8046272493573263,
"conf... |
from __future__ import absolute_import, division, print_function
try:
from threading import local
except ImportError:
from django.utils._threading_local import local
_thread_locals = local()
def get_current_request():
""" returns the request object for this thread """
return getattr(_thread_locals, ... | {
"repo_name": "exildev/Piscix",
"path": "Piscix/middleware.py",
"copies": "2",
"size": "1131",
"license": "mit",
"hash": -1492557289073657600,
"line_mean": 27.275,
"line_max": 82,
"alpha_frac": 0.6746242263,
"autogenerated": false,
"ratio": 4.470355731225297,
"config_test": false,
"has_no_key... |
from __future__ import absolute_import, division, print_function
try:
import bpython # noqa
# Access a property to verify module exists in case
# there's a demand loader wrapping module imports
# See https://github.com/inducer/pudb/issues/177
bpython.__version__
except ImportError:
HAVE_BPYTHO... | {
"repo_name": "albfan/pudb",
"path": "pudb/shell.py",
"copies": "1",
"size": "6010",
"license": "mit",
"hash": -7321483349218338000,
"line_mean": 26.6958525346,
"line_max": 78,
"alpha_frac": 0.6499168053,
"autogenerated": false,
"ratio": 3.8950097213220998,
"config_test": true,
"has_no_keywor... |
from __future__ import absolute_import, division, print_function
try:
import cPickle as pickle
except ImportError:
import pickle
from . import serialize
import tempfile
try:
from cytoolz import groupby, take, concat, curry
except ImportError:
from toolz import groupby, take, concat, curry
import os
im... | {
"repo_name": "esc/dask",
"path": "pbag/core.py",
"copies": "4",
"size": "5711",
"license": "bsd-3-clause",
"hash": 2685155293268708000,
"line_mean": 27.2722772277,
"line_max": 77,
"alpha_frac": 0.5506916477,
"autogenerated": false,
"ratio": 3.957726957726958,
"config_test": false,
"has_no_ke... |
from __future__ import (absolute_import, division, print_function)
try:
import cPickle as pickle
except ImportError:
import pickle
import gzip
import os
import struct
import numpy as np
xkey, ykey = 'times_cpu', 'rmsd_over_atol'
def read():
basename = os.path.splitext(os.path.basename(__file__))[0]
... | {
"repo_name": "bjodah/chemreac",
"path": "examples/plot_rmsd_vs_texec.py",
"copies": "2",
"size": "5000",
"license": "bsd-2-clause",
"hash": -7133027400877302000,
"line_mean": 34.2112676056,
"line_max": 79,
"alpha_frac": 0.5804,
"autogenerated": false,
"ratio": 3.0525030525030523,
"config_test"... |
from __future__ import absolute_import, division, print_function
try:
import flask
from flask import Flask, request
except ImportError:
pass
import blaze
import socket
import json
from toolz import assoc
from functools import partial, wraps
from blaze import into, compute
from blaze.expr import utils as e... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/server/server.py",
"copies": "1",
"size": "7939",
"license": "bsd-3-clause",
"hash": -1490804352162555100,
"line_mean": 26.2817869416,
"line_max": 77,
"alpha_frac": 0.5470462275,
"autogenerated": false,
"ratio": 3.668669131238447,
"config_test": tr... |
from __future__ import absolute_import, division, print_function
try:
import flask
from flask import json
import requests
except ImportError:
pass
from odo import resource
from datashape import dshape
from ..expr import Expr
from ..dispatch import dispatch
from .server import DEFAULT_PORT
# These a... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/server/client.py",
"copies": "1",
"size": "2962",
"license": "bsd-3-clause",
"hash": 8022446243667642000,
"line_mean": 22.3228346457,
"line_max": 72,
"alpha_frac": 0.6191762323,
"autogenerated": false,
"ratio": 3.8769633507853403,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
try:
import h5py # if we import h5py after tables we segfault
except ImportError:
pass
from pandas import DataFrame
from odo import odo, convert, append, resource, drop
from odo.backends.csv import CSV
from odo.backends.json import JSON, JSONLi... | {
"repo_name": "mrocklin/blaze",
"path": "blaze/__init__.py",
"copies": "1",
"size": "4835",
"license": "bsd-3-clause",
"hash": -1114532890222164500,
"line_mean": 30.3961038961,
"line_max": 80,
"alpha_frac": 0.6825232678,
"autogenerated": false,
"ratio": 3.8312202852614896,
"config_test": true,
... |
from __future__ import absolute_import, division, print_function
"""
Various utility functions used by Manhattan. It is not expected that these will
be used externally.
"""
import os
import random
import bisect
import hmac
import hashlib
import binascii
"""
A 1 pixel transparent GIF as a bytestring. For use as a tra... | {
"repo_name": "storborg/manhattan",
"path": "manhattan/util.py",
"copies": "1",
"size": "6242",
"license": "mit",
"hash": -2663176791994192400,
"line_mean": 25.1171548117,
"line_max": 79,
"alpha_frac": 0.6163088754,
"autogenerated": false,
"ratio": 3.884256378344742,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
# WCS utilities taken from spectral_cube project
__all__ = ['reindex_wcs', 'drop_axis']
def reindex_wcs(wcs, inds):
"""
Re-index a WCS given indices. The number of axes may be reduced.
Parameters
----------
wcs: astropy.wcs.WCS
... | {
"repo_name": "JudoWill/glue",
"path": "glue/utils/wcs.py",
"copies": "1",
"size": "2131",
"license": "bsd-3-clause",
"hash": 1677233635745779200,
"line_mean": 29.884057971,
"line_max": 83,
"alpha_frac": 0.5800093853,
"autogenerated": false,
"ratio": 3.129221732745962,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
# rework as biquads with zeros/poles
import itertools
import json
import numpy as np
import scipy.signal as sig
FS = 44100
filtergroups = {
'pots': {
'signal': [
{'func': sig.butter, 'N': 2, 'fn': 200, 'btype': 'high'},
... | {
"repo_name": "nicktimko/pots-sim",
"path": "potsim/coeffs/coeff_gen.py",
"copies": "1",
"size": "2552",
"license": "mit",
"hash": 5843845755789976000,
"line_mean": 27.043956044,
"line_max": 79,
"alpha_frac": 0.5286050157,
"autogenerated": false,
"ratio": 3.023696682464455,
"config_test": false... |
from __future__ import absolute_import, division, print_function
# Standard
from collections import OrderedDict as odict
import multiprocessing
import ctypes as C
# Scientific
import utool as ut
import numpy as np
import time
from os.path import join
from pybing.pybing_helpers import (_load_c_shared_library, _cast_list... | {
"repo_name": "bluemellophone/pybing",
"path": "pybing/_pybing.py",
"copies": "1",
"size": "9858",
"license": "bsd-3-clause",
"hash": 8727042700767793000,
"line_mean": 30.8,
"line_max": 145,
"alpha_frac": 0.4939135727,
"autogenerated": false,
"ratio": 4.002436053593179,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
try:
from collections.abc import Hashable
except ImportError:
from collections import Hashable
from types import GeneratorType
from ._vendor.six import wraps
# TODO: spend time filling out functionality and make these more robust
def memoize(f... | {
"repo_name": "int19h/PTVS",
"path": "Python/Product/Miniconda/Miniconda3-x64/Lib/site-packages/conda/_vendor/auxlib/decorators.py",
"copies": "7",
"size": "10577",
"license": "apache-2.0",
"hash": -3819140168408250400,
"line_mean": 29.3936781609,
"line_max": 99,
"alpha_frac": 0.5568686773,
"autoge... |
from __future__ import absolute_import, division, print_function
try:
from guitool_ibeis import api_tree_node_cython
if 'api_tree_node_cython' not in globals():
raise ImportError('')
print('[test_treenode] cython ON')
except ImportError:
print('[test_treenode] cython OFF')
from guitool_ibeis imp... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/tests/test_treenode.py",
"copies": "1",
"size": "2822",
"license": "apache-2.0",
"hash": 3716520215212929500,
"line_mean": 30.010989011,
"line_max": 91,
"alpha_frac": 0.5747696669,
"autogenerated": false,
"ratio": 3.3396449704142013,
"con... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
#from src.backtrader_indicator_decisions import Decision
from src.stock import Stock, str2date
import datetime # For datetime objects
import os.path # To manage paths
import sys # To find out the script name (in argv[0])
# I... | {
"repo_name": "tbkraf08/trader",
"path": "backtrader_main.py",
"copies": "1",
"size": "5401",
"license": "mit",
"hash": -6485780436352620000,
"line_mean": 26.8453608247,
"line_max": 83,
"alpha_frac": 0.6902425477,
"autogenerated": false,
"ratio": 2.938520130576714,
"config_test": false,
"has_... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
__author__ = 'arkilic'
import os
import yaml
import logging
logger = logging.getLogger(__name__)
def load_configuration(name, prefix, fields):
"""
Load configuration data form a cascading series of loc... | {
"repo_name": "mrkraimer/metadataservice",
"path": "metadataservice/client/conf.py",
"copies": "1",
"size": "2204",
"license": "bsd-3-clause",
"hash": 8706665766088192000,
"line_mean": 31.8955223881,
"line_max": 80,
"alpha_frac": 0.5730490018,
"autogenerated": false,
"ratio": 4.190114068441065,
... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .aes import aes
from . import colors, shapes, size, linetypes, alphas
def assign_visual_mapping(data, aes, gg):
"""Assigns the visual mapping to the given data and adds the right legend
Parameter... | {
"repo_name": "ricket1978/ggplot",
"path": "ggplot/components/__init__.py",
"copies": "12",
"size": "1402",
"license": "bsd-2-clause",
"hash": -4193330693419276000,
"line_mean": 34.05,
"line_max": 77,
"alpha_frac": 0.6390870185,
"autogenerated": false,
"ratio": 3.938202247191011,
"config_test":... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from bson import ObjectId
from bson.errors import InvalidId
import six
from doct import Document
from jsonschema import validate as js_validate
import uuid
import time as ttime
import pymongo
class DatumNotFou... | {
"repo_name": "NSLS-II/filestore",
"path": "filestore/core.py",
"copies": "1",
"size": "7127",
"license": "bsd-3-clause",
"hash": -5547259772572776000,
"line_mean": 26.4115384615,
"line_max": 75,
"alpha_frac": 0.5880454609,
"autogenerated": false,
"ratio": 3.898796498905908,
"config_test": fals... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from builtins import str # noqa pylint: disable=redefined-builtin
import copy
import os
try:
from unittest.mock import sentinel, patch
except ImportError:
from mock import sentinel, patch
import pyte... | {
"repo_name": "digitalrounin/py-lambda-packer",
"path": "tests/test_config.py",
"copies": "1",
"size": "13473",
"license": "mit",
"hash": -804239002096910500,
"line_mean": 38.9792284866,
"line_max": 78,
"alpha_frac": 0.5783418689,
"autogenerated": false,
"ratio": 3.7962806424344886,
"config_tes... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from ccdproc import CCDData
import argparse
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
# disables the s key event for saving.
# plt.rcParams['keymap.save'] = ''
import astropy.uni... | {
"repo_name": "simontorres/goodman",
"path": "dev-tools/plot-fits-file.py",
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"autogenerated": false,
"ratio": 3.69937106918239,
"config_t... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from citeproc.py2compat import *
import re
import unicodedata
import sys
from functools import reduce, cmp_to_key
from operator import itemgetter
from lxml import etree
from . import NAMES, DATES, NUMBERS
fr... | {
"repo_name": "jayvdb/citeproc-py",
"path": "citeproc/model.py",
"copies": "2",
"size": "56622",
"license": "bsd-2-clause",
"hash": -190875467550723460,
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"line_max": 81,
"alpha_frac": 0.5151884427,
"autogenerated": false,
"ratio": 4.2980112342492784,
"config_test": fa... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from collections import OrderedDict
import importlib
import sys
import six
def watermark():
"""
Give the version of each of the dependencies -- useful for bug reports.
Returns
-------
resu... | {
"repo_name": "ericdill/databroker",
"path": "databroker/utils/diagnostics.py",
"copies": "1",
"size": "1336",
"license": "bsd-3-clause",
"hash": 5386953142595245000,
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"line_max": 75,
"alpha_frac": 0.6032934132,
"autogenerated": false,
"ratio": 4.409240924092409,
"con... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from collections import OrderedDict
import six
BASE_COLORS = {
'b': (0, 0, 1),
'g': (0, 0.5, 0),
'r': (1, 0, 0),
'c': (0, 0.75, 0.75),
'm': (0.75, 0, 0.75),
'y': (0.75, 0.75, 0),
'k... | {
"repo_name": "ammarkhann/FinalSeniorCode",
"path": "lib/python2.7/site-packages/matplotlib/_color_data.py",
"copies": "12",
"size": "34896",
"license": "mit",
"hash": 7722995428267179000,
"line_mean": 29.4237140366,
"line_max": 76,
"alpha_frac": 0.5059892251,
"autogenerated": false,
"ratio": 2.6... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .colors import palettes
import itertools
SHAPES = [
'o',#circle
'^',#triangle up
'D',#diamond
'v',#triangle down
# '+',#plus # doesn't render in legend for some reason
# 'x',#x # al... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/discretemappers.py",
"copies": "1",
"size": "1404",
"license": "bsd-2-clause",
"hash": -9179615389275454000,
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"line_max": 68,
"alpha_frac": 0.5512820513,
"autogenerated": false,
"ratio": 3.2128146453089244,
"config_test": fa... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
from ggplot.components import aes
from pandas import DataFrame
__ALL__ = ["geom"]
class geom(object):
"""Base class of all Geoms"""
VALID_AES = []
data = None
aes = No... | {
"repo_name": "eco32i/ggplot",
"path": "ggplot/geoms/geom.py",
"copies": "1",
"size": "1377",
"license": "bsd-2-clause",
"hash": 3150812113927458300,
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"line_max": 84,
"alpha_frac": 0.498184459,
"autogenerated": false,
"ratio": 4.026315789473684,
"config_test": false,
"has_no... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
from .ggplot import ggplot
class ggtitle(object):
"""
Add a title to your plot
Parameters
----------
title:
Your plot title
Examples
--------
... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/chart_components.py",
"copies": "1",
"size": "4623",
"license": "bsd-2-clause",
"hash": -4620767025204918000,
"line_mean": 22.8298969072,
"line_max": 111,
"alpha_frac": 0.4715552671,
"autogenerated": false,
"ratio": 3.836514522821577,
"config_test": ... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
from ggplot.utils.exceptions import GgplotError
class ggtitle(object):
def __init__(self, title):
if title is None:
raise GgplotError("Arguments to", self.__cl... | {
"repo_name": "assad2012/ggplot",
"path": "ggplot/geoms/chart_components.py",
"copies": "12",
"size": "2997",
"license": "bsd-2-clause",
"hash": 5701658987707839000,
"line_mean": 27.2735849057,
"line_max": 84,
"alpha_frac": 0.4734734735,
"autogenerated": false,
"ratio": 3.943421052631579,
"conf... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
import math
from ..utils.ggutils import add_ggplotrc_params
from ggplot.utils.exceptions import GgplotError
class facet_wrap(object):
def __init__(self, x=None, y=None, ncol=None, ... | {
"repo_name": "udacity/ggplot",
"path": "ggplot/geoms/facet_wrap.py",
"copies": "12",
"size": "1806",
"license": "bsd-2-clause",
"hash": 6704561223507445000,
"line_mean": 31.8363636364,
"line_max": 87,
"alpha_frac": 0.5437430786,
"autogenerated": false,
"ratio": 3.213523131672598,
"config_test"... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
import math
from ..utils.utils import add_ggplotrc_params
from .facet_wrap import facet_wrap
class facet_grid(object):
def __init__(self, x=None, y=None, scales=None):
add... | {
"repo_name": "eco32i/ggplot",
"path": "ggplot/geoms/facet_grid.py",
"copies": "1",
"size": "1947",
"license": "bsd-2-clause",
"hash": 7490102003766881000,
"line_mean": 26.4225352113,
"line_max": 66,
"alpha_frac": 0.489470981,
"autogenerated": false,
"ratio": 3.3225255972696246,
"config_test": ... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
import math
from ..utils.utils import add_ggplotrc_params
class facet_wrap(object):
def __init__(self, x=None, y=None, ncol=None, nrow=None, scales="free"):
if x is None an... | {
"repo_name": "eco32i/ggplot",
"path": "ggplot/geoms/facet_wrap.py",
"copies": "1",
"size": "1798",
"license": "bsd-2-clause",
"hash": 386275062830202300,
"line_mean": 31.6909090909,
"line_max": 85,
"alpha_frac": 0.5350389321,
"autogenerated": false,
"ratio": 3.2454873646209386,
"config_test": ... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
import warnings
THEME_PARAMETERS = {
"axis_line": "?",
"axis_text": "?",
"axis_text_x": "?",
"axis_text_y": "?",
"axis_title": "?",
"axis_title_x": "?",
"ax... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/themes/theme.py",
"copies": "1",
"size": "3984",
"license": "bsd-2-clause",
"hash": 9009798452405012000,
"line_mean": 27.0563380282,
"line_max": 178,
"alpha_frac": 0.5323795181,
"autogenerated": false,
"ratio": 3.449350649350649,
"config_test": false... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
class ggtitle(object):
def __init__(self, title):
self.title = title
def __radd__(self, gg):
gg = deepcopy(gg)
gg.title = self.title
return gg
... | {
"repo_name": "eco32i/ggplot",
"path": "ggplot/geoms/chart_components.py",
"copies": "1",
"size": "1462",
"license": "bsd-2-clause",
"hash": 7793525908812903000,
"line_mean": 21.84375,
"line_max": 66,
"alpha_frac": 0.5157318741,
"autogenerated": false,
"ratio": 3.234513274336283,
"config_test":... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
class scale_identity(object):
"""
Use the value that you've passed for an aesthetic in the plot without mapping
it to something else. Classic example is if you have a data ... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/scales/scale_identity.py",
"copies": "1",
"size": "1712",
"license": "bsd-2-clause",
"hash": 5730894995999189000,
"line_mean": 26.1746031746,
"line_max": 85,
"alpha_frac": 0.6331775701,
"autogenerated": false,
"ratio": 3.97215777262181,
"config_test"... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import deepcopy
import pandas as pd
import numpy as np
from matplotlib.cbook import iterable
from ggplot.utils import is_string
import ggplot.stats
from ggplot.utils import is_scalar_or_string
from g... | {
"repo_name": "xguse/ggplot",
"path": "ggplot/geoms/geom.py",
"copies": "12",
"size": "13443",
"license": "bsd-2-clause",
"hash": -1784524022633546200,
"line_mean": 34.7526595745,
"line_max": 91,
"alpha_frac": 0.572788812,
"autogenerated": false,
"ratio": 4.0008928571428575,
"config_test": fals... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from cycler import cycler
from .theme import theme_base
from cycler import cycler
class theme_538(theme_base):
"""
Theme for 538.
Copied from CamDavidsonPilon's gist:
https://gist.github.co... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/themes/theme_538.py",
"copies": "1",
"size": "2149",
"license": "bsd-2-clause",
"hash": -8280359643509341000,
"line_mean": 42.8571428571,
"line_max": 94,
"alpha_frac": 0.5751512331,
"autogenerated": false,
"ratio": 3.1372262773722626,
"config_test": ... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from datetime import datetime
from .crypto import Crypter
from .serializer import URLSafeCookieSerializer
from .session import Session
from .util import parse_settings
def session_factory_factory(secret,
... | {
"repo_name": "storborg/gimlet",
"path": "gimlet/factories.py",
"copies": "1",
"size": "2049",
"license": "mit",
"hash": -8501411064591871000,
"line_mean": 29.1323529412,
"line_max": 76,
"alpha_frac": 0.5915080527,
"autogenerated": false,
"ratio": 4.563474387527839,
"config_test": true,
"has_... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .date_utils import date_breaks, date_format
from .scale import scale
from copy import deepcopy
import six
class scale_x_date(scale):
"""
Position scale, date
Parameters
----------
lab... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/scales/scale_x_date.py",
"copies": "1",
"size": "1756",
"license": "bsd-2-clause",
"hash": 6191775886401853000,
"line_mean": 34.12,
"line_max": 66,
"alpha_frac": 0.5495444191,
"autogenerated": false,
"ratio": 3.752136752136752,
"config_test": false,
... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from ..extern import six
from ..extern.six.moves import zip as izip
import platform
import warnings
import numpy as np
from ..utils.exceptions import AstropyUserWarning
__all__ = ['TableGroups', 'ColumnGrou... | {
"repo_name": "piotroxp/scibibscan",
"path": "scib/lib/python3.5/site-packages/astropy/table/groups.py",
"copies": "1",
"size": "13125",
"license": "mit",
"hash": 4695564784196390000,
"line_mean": 33.1796875,
"line_max": 99,
"alpha_frac": 0.5730285714,
"autogenerated": false,
"ratio": 4.227053140... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from functools import wraps
import numpy as np
import pandas as pd
from numpy.testing import assert_allclose, assert_equal
from scipy.spatial import cKDTree
def sort_positions(actual, expected):
assert_equ... | {
"repo_name": "rbnvrw/circletracking",
"path": "circletracking/tests/common.py",
"copies": "1",
"size": "4479",
"license": "bsd-3-clause",
"hash": 4252565725663310000,
"line_mean": 35.7131147541,
"line_max": 77,
"alpha_frac": 0.4896182184,
"autogenerated": false,
"ratio": 3.999107142857143,
"co... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.utils import python_2_unicode_compatible
from ..exceptions import ExecuteMSQLError
from ..models import MemberSuiteObject
from ..memberships import services as membership_services
from ..organizatio... | {
"repo_name": "AASHE/python-membersuite-api-client",
"path": "membersuite_api_client/security/models.py",
"copies": "1",
"size": "6476",
"license": "mit",
"hash": -5742916225707472000,
"line_mean": 34.3879781421,
"line_max": 79,
"alpha_frac": 0.6043854231,
"autogenerated": false,
"ratio": 4.32598... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.utils import python_2_unicode_compatible
from ..models import MemberSuiteObject
from ..utils import get_new_client, value_for_key
from ..financial import services as financial_services
@python_2_u... | {
"repo_name": "AASHE/python-membersuite-api-client",
"path": "membersuite_api_client/orders/models.py",
"copies": "1",
"size": "3066",
"license": "mit",
"hash": 2984745573632088000,
"line_mean": 33.8409090909,
"line_max": 75,
"alpha_frac": 0.6053489889,
"autogenerated": false,
"ratio": 4.10991957... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.utils import python_2_unicode_compatible
@python_2_unicode_compatible
class MemberSuiteAPIError(Exception):
def __init__(self, result):
self.result = result
self.exception_type... | {
"repo_name": "AASHE/python-membersuite-api-client",
"path": "membersuite_api_client/exceptions.py",
"copies": "1",
"size": "1095",
"license": "mit",
"hash": -4950093015576821000,
"line_mean": 23.8863636364,
"line_max": 77,
"alpha_frac": 0.6566210046,
"autogenerated": false,
"ratio": 3.9388489208... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .geom import geom
from scipy.stats import gaussian_kde
import numpy as np
class geom_density(geom):
DEFAULT_AES = {'alpha': None, 'color': 'black', 'fill': None,
'linetype': 'solid'... | {
"repo_name": "bitemyapp/ggplot",
"path": "ggplot/geoms/geom_density.py",
"copies": "12",
"size": "1225",
"license": "bsd-2-clause",
"hash": 2265743410668405500,
"line_mean": 32.1081081081,
"line_max": 70,
"alpha_frac": 0.5355102041,
"autogenerated": false,
"ratio": 3.441011235955056,
"config_t... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .geom import geom
class geom_hline(geom):
DEFAULT_AES = {'color': 'black', 'linetype': 'solid',
'size': 1.0, 'alpha': None, 'y': None,
'xmin': None, 'xmax': None}... | {
"repo_name": "mizzao/ggplot",
"path": "ggplot/geoms/geom_hline.py",
"copies": "12",
"size": "1035",
"license": "bsd-2-clause",
"hash": 1622467416635078000,
"line_mean": 32.3870967742,
"line_max": 66,
"alpha_frac": 0.5304347826,
"autogenerated": false,
"ratio": 3.6062717770034842,
"config_test"... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .geom import geom
class geom_vline(geom):
DEFAULT_AES = {'color': 'black', 'linetype': 'solid',
'size': 1.0, 'alpha': None, 'x': None,
'ymin': None, 'ymax': None}... | {
"repo_name": "benslice/ggplot",
"path": "ggplot/geoms/geom_vline.py",
"copies": "12",
"size": "1496",
"license": "bsd-2-clause",
"hash": 8351964687573554000,
"line_mean": 35.487804878,
"line_max": 66,
"alpha_frac": 0.5414438503,
"autogenerated": false,
"ratio": 3.6666666666666665,
"config_test... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from ..ggplot import ggplot
from ..aes import aes
class geom(object):
_aes_renames = {}
DEFAULT_AES = {}
REQUIRED_AES = {}
def __init__(self, *args, **kwargs):
self.layers = [self]
... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/geoms/geom.py",
"copies": "1",
"size": "2915",
"license": "bsd-2-clause",
"hash": 391765440212007300,
"line_mean": 31.3888888889,
"line_max": 81,
"alpha_frac": 0.5313893654,
"autogenerated": false,
"ratio": 3.912751677852349,
"config_test": false,
... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .handlers_base import HandlerBase
import errno
import six
import logging
import numpy as np
import uuid
import os
import os.path as op
import datetime
import filestore.api as fsc
from .utils import _make_... | {
"repo_name": "ericdill/fileStore",
"path": "filestore/file_writers.py",
"copies": "2",
"size": "3826",
"license": "bsd-3-clause",
"hash": -5846959921100458000,
"line_mean": 28.4307692308,
"line_max": 77,
"alpha_frac": 0.5776267642,
"autogenerated": false,
"ratio": 4.1814207650273225,
"config_t... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from hashlib import sha1
from sqlalchemy import Column, ForeignKey, types, orm
from sqlalchemy.ext.declarative import declarative_base
from ..mixin import ElasticMixin, ESMapping, ESString, ESField
Base = de... | {
"repo_name": "storborg/pyramid_es",
"path": "pyramid_es/tests/data.py",
"copies": "1",
"size": "3879",
"license": "mit",
"hash": -2813141910894979600,
"line_mean": 26.1258741259,
"line_max": 66,
"alpha_frac": 0.5287445218,
"autogenerated": false,
"ratio": 3.6354264292408622,
"config_test": fal... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from importlib import import_module
from inspect import getmembers, isclass
import six
from .backends.base import BaseBackend
def parse_settings(settings, prefix='gimlet.'):
"""Parse settings and return ... | {
"repo_name": "storborg/gimlet",
"path": "gimlet/util.py",
"copies": "1",
"size": "2659",
"license": "mit",
"hash": -6976359520701304000,
"line_mean": 36.4507042254,
"line_max": 73,
"alpha_frac": 0.611884167,
"autogenerated": false,
"ratio": 4.240829346092504,
"config_test": false,
"has_no_ke... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .. import QtCore, QtGui
import six
import sys
import logging
logger = logging.getLogger(__name__)
_defaults = {
"expanded": False,
}
class DisplayDict(QtGui.QMainWindow):
def __init__(self, pa... | {
"repo_name": "licode/xray-vision",
"path": "xray_vision/qt_widgets/displaydict.py",
"copies": "6",
"size": "4397",
"license": "bsd-3-clause",
"hash": 7535762434622688000,
"line_mean": 29.324137931,
"line_max": 87,
"alpha_frac": 0.5549238117,
"autogenerated": false,
"ratio": 4.187619047619048,
... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.dates import DateFormatter
from matplotlib.dates import MinuteLocator, HourLocator, DayLocator
from matplotlib.dates import WeekdayLocator, MonthLocator, YearLocator
def date_format(format='%Y-%... | {
"repo_name": "yhat/ggplot",
"path": "ggplot/scales/date_utils.py",
"copies": "1",
"size": "1661",
"license": "bsd-2-clause",
"hash": 2517925686804399600,
"line_mean": 24.5538461538,
"line_max": 88,
"alpha_frac": 0.6092715232,
"autogenerated": false,
"ratio": 3.80091533180778,
"config_test": fa... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
import os
import re
import signal
import sys
from matplotlib.externals.six import unichr
import matplotlib
from matplotlib.cbook import is_string_like
from matplotlib.back... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/matplotlib/backends/backend_qt5.py",
"copies": "3",
"size": "29695",
"license": "mit",
"hash": 2839919013954376700,
"line_mean": 33.9352941176,
"line_max": 101,
"alpha_frac": 0.5793904698,
"autogenerated": false,
"ratio":... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from nose.tools import (assert_equal, assert_is, assert_is_not,
assert_raises)
import pandas as pd
from ggplot import *
from ggplot.utils.exceptions import GgplotError
from . import clea... | {
"repo_name": "bitemyapp/ggplot",
"path": "ggplot/tests/test_stat_calculate_methods.py",
"copies": "12",
"size": "2240",
"license": "bsd-2-clause",
"hash": 2629700246106637300,
"line_mean": 27.7179487179,
"line_max": 69,
"alpha_frac": 0.6236607143,
"autogenerated": false,
"ratio": 3.2,
"config_... |
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