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from __future__ import absolute_import, division
from collections import defaultdict
from hashlib import md5
from lxml import etree
from sqlalchemy.exc import IntegrityError
from changes.artifacts.xml import DelegateParser
from changes.config import db, redis
from changes.lib.coverage import merge_coverage, get_cover... | {
"repo_name": "dropbox/changes",
"path": "changes/artifacts/coverage.py",
"copies": "1",
"size": "9431",
"license": "apache-2.0",
"hash": 7263816397557960000,
"line_mean": 35.5542635659,
"line_max": 99,
"alpha_frac": 0.5523274308,
"autogenerated": false,
"ratio": 4.51676245210728,
"config_test"... |
from __future__ import absolute_import, division
from collections import defaultdict
from hashlib import md5
from lxml import etree
from sqlalchemy.exc import IntegrityError
from changes.config import db, redis
from changes.models.filecoverage import FileCoverage
from changes.utils.diff_parser import DiffParser
from... | {
"repo_name": "alex/changes",
"path": "changes/artifacts/coverage.py",
"copies": "1",
"size": "5220",
"license": "apache-2.0",
"hash": 8763046951428787000,
"line_mean": 30.0714285714,
"line_max": 95,
"alpha_frac": 0.5203065134,
"autogenerated": false,
"ratio": 4.393939393939394,
"config_test": ... |
from __future__ import absolute_import, division
from collections import defaultdict
import numpy as np
import pandas as pd
from six import iteritems
from bokeh.charts import DEFAULT_PALETTE
from bokeh.core.enums import DashPattern
from bokeh.models.glyphs import Rect, Segment, Line, Patches, Arc
from bokeh.models.r... | {
"repo_name": "quasiben/bokeh",
"path": "bokeh/charts/glyphs.py",
"copies": "3",
"size": "36943",
"license": "bsd-3-clause",
"hash": -4883119939429555000,
"line_mean": 33.6232427366,
"line_max": 122,
"alpha_frac": 0.5810573045,
"autogenerated": false,
"ratio": 3.8716202054076714,
"config_test":... |
from __future__ import absolute_import, division
from collections import defaultdict
import numpy as np
import pandas as pd
from bokeh.charts import DEFAULT_PALETTE
from bokeh.core.enums import DashPattern
from bokeh.models.glyphs import Rect, Segment, Line, Patches, Arc
from bokeh.models.renderers import GlyphRende... | {
"repo_name": "azjps/bokeh",
"path": "bokeh/charts/glyphs.py",
"copies": "2",
"size": "36897",
"license": "bsd-3-clause",
"hash": -4083295950435120000,
"line_mean": 33.6125703565,
"line_max": 116,
"alpha_frac": 0.5808602325,
"autogenerated": false,
"ratio": 3.8720747192779936,
"config_test": fa... |
from __future__ import absolute_import, division
from collections import OrderedDict
from . import utils
class DefaultPerformance(object):
def __init__(self):
pass
def update(self, trial, status):
pass
def display(output=True):
pass
class Performance2AFC(object):
def __init... | {
"repo_name": "frsong/pyrl",
"path": "pyrl/performance.py",
"copies": "1",
"size": "4362",
"license": "mit",
"hash": 3924310844509342000,
"line_mean": 30.6086956522,
"line_max": 89,
"alpha_frac": 0.5018340211,
"autogenerated": false,
"ratio": 3.8842386464826357,
"config_test": false,
"has_no_... |
from __future__ import absolute_import, division
from copy import copy
from functools import partial
from .auto import tqdm as tqdm_auto
try:
import keras
except ImportError as e:
try:
from tensorflow import keras
except ImportError:
raise e
__author__ = {"github.com/": ["casperdcl"]}
__a... | {
"repo_name": "kayhayen/Nuitka",
"path": "nuitka/build/inline_copy/tqdm/tqdm/keras.py",
"copies": "1",
"size": "4211",
"license": "apache-2.0",
"hash": 1940361953200048000,
"line_mean": 33.8016528926,
"line_max": 81,
"alpha_frac": 0.5469009736,
"autogenerated": false,
"ratio": 3.899074074074074,
... |
from __future__ import absolute_import, division
from django.conf import settings
from django.core import urlresolvers
from django.db import connection
from django.db.models import Sum
from django.db.models.query import QuerySet
from django.http import HttpResponseNotFound, HttpRequest, HttpResponse
from django.templa... | {
"repo_name": "susansls/zulip",
"path": "analytics/views.py",
"copies": "3",
"size": "36986",
"license": "apache-2.0",
"hash": 4410646678229862400,
"line_mean": 32.4412296564,
"line_max": 123,
"alpha_frac": 0.5574000973,
"autogenerated": false,
"ratio": 3.889169295478444,
"config_test": false,
... |
from __future__ import absolute_import, division
from django.core import urlresolvers
from django.db import connection
from django.db.models import Sum
from django.db.models.query import QuerySet
from django.http import HttpResponseNotFound, HttpRequest, HttpResponse
from django.template import RequestContext, loader
... | {
"repo_name": "isht3/zulip",
"path": "analytics/views.py",
"copies": "1",
"size": "33085",
"license": "apache-2.0",
"hash": -1240770248560341000,
"line_mean": 31.4045053869,
"line_max": 133,
"alpha_frac": 0.5450808524,
"autogenerated": false,
"ratio": 3.9098321909714016,
"config_test": false,
... |
from __future__ import absolute_import, division
from django.core import urlresolvers
from django.db import connection
from django.db.models.query import QuerySet
from django.http import HttpResponseNotFound, HttpRequest, HttpResponse
from django.template import RequestContext, loader
from django.utils import timezone... | {
"repo_name": "Diptanshu8/zulip",
"path": "analytics/views.py",
"copies": "2",
"size": "30695",
"license": "apache-2.0",
"hash": -5163053249069646000,
"line_mean": 30.5467625899,
"line_max": 115,
"alpha_frac": 0.5391106043,
"autogenerated": false,
"ratio": 3.915678020155632,
"config_test": fals... |
from __future__ import absolute_import, division
from django.core.urlresolvers import reverse
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import get_object_or_404
from sentry.models import Group, GroupMeta
from sentry.plugins import plugins
from sentry.web.frontend.base import ProjectV... | {
"repo_name": "mitsuhiko/sentry",
"path": "src/sentry/web/frontend/group_plugin_action.py",
"copies": "4",
"size": "1079",
"license": "bsd-3-clause",
"hash": -7151608810416036000,
"line_mean": 31.696969697,
"line_max": 88,
"alpha_frac": 0.6895273401,
"autogenerated": false,
"ratio": 4.33333333333... |
from __future__ import absolute_import, division
from django.http import Http404, HttpResponse
from django.shortcuts import get_object_or_404
from sentry.models import Event, Group, GroupMeta, get_group_with_redirect
from sentry.utils import json
from sentry.web.frontend.base import ProjectView
class GroupEventJson... | {
"repo_name": "ifduyue/sentry",
"path": "src/sentry/web/frontend/group_event_json.py",
"copies": "2",
"size": "1352",
"license": "bsd-3-clause",
"hash": -4902960208101146000,
"line_mean": 37.6285714286,
"line_max": 89,
"alpha_frac": 0.6568047337,
"autogenerated": false,
"ratio": 4.035820895522388... |
from __future__ import absolute_import, division
from django.http import Http404, HttpResponse
from sentry import eventstore
from sentry.models import Event, Group, GroupMeta, get_group_with_redirect
from sentry.utils import json
from sentry.web.frontend.base import OrganizationView
class GroupEventJsonView(Organiz... | {
"repo_name": "mvaled/sentry",
"path": "src/sentry/web/frontend/group_event_json.py",
"copies": "1",
"size": "1137",
"license": "bsd-3-clause",
"hash": 2701015835722951000,
"line_mean": 32.4411764706,
"line_max": 89,
"alpha_frac": 0.6684256816,
"autogenerated": false,
"ratio": 3.9894736842105263,... |
from __future__ import absolute_import, division
from django.http import Http404, HttpResponse
from sentry import eventstore
from sentry.models import Group, GroupMeta, get_group_with_redirect
from sentry.utils import json
from sentry.web.frontend.base import OrganizationView
class GroupEventJsonView(OrganizationV... | {
"repo_name": "beeftornado/sentry",
"path": "src/sentry/web/frontend/group_event_json.py",
"copies": "1",
"size": "1080",
"license": "bsd-3-clause",
"hash": -107375942649704210,
"line_mean": 31.7272727273,
"line_max": 89,
"alpha_frac": 0.6712962963,
"autogenerated": false,
"ratio": 4,
"config_t... |
from __future__ import absolute_import, division
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import get_object_or_404
from django.utils.http import is_safe_url
from sentry.models import Group, GroupMeta
from sentry.plugins.base import plugins
from sentry.web.frontend.base import Projec... | {
"repo_name": "beeftornado/sentry",
"path": "src/sentry/web/frontend/group_plugin_action.py",
"copies": "2",
"size": "1077",
"license": "bsd-3-clause",
"hash": 7793431919279023000,
"line_mean": 32.65625,
"line_max": 79,
"alpha_frac": 0.6889507892,
"autogenerated": false,
"ratio": 4.12643678160919... |
from __future__ import absolute_import, division
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import get_object_or_404
from sudo.utils import is_safe_url
from sentry.models import Group, GroupMeta
from sentry.plugins import plugins
from sentry.web.frontend.base import ProjectView
clas... | {
"repo_name": "ifduyue/sentry",
"path": "src/sentry/web/frontend/group_plugin_action.py",
"copies": "2",
"size": "1111",
"license": "bsd-3-clause",
"hash": -8767747537867899000,
"line_mean": 30.7428571429,
"line_max": 70,
"alpha_frac": 0.6579657966,
"autogenerated": false,
"ratio": 4.273076923076... |
from __future__ import absolute_import, division
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from sentry.models import Group, GroupMeta, Event
from sentry.utils import json
from sentry.web.frontend.base import ProjectView
class GroupEventJsonView(ProjectView):
required_sc... | {
"repo_name": "nicholasserra/sentry",
"path": "src/sentry/web/frontend/group_event_json.py",
"copies": "3",
"size": "1032",
"license": "bsd-3-clause",
"hash": -8794861496284620000,
"line_mean": 37.2222222222,
"line_max": 86,
"alpha_frac": 0.6947674419,
"autogenerated": false,
"ratio": 3.822222222... |
from __future__ import absolute_import, division
from itertools import chain
from PySide import QtGui
from .. import wave_functions
class WaveScene(QtGui.QGraphicsScene):
def __init__(self, waveTable):
super(WaveScene, self).__init__()
self._table = waveTable
self.gridStep = 0x10
... | {
"repo_name": "timsavage/funktion-generator",
"path": "utils/wave-editor/wave_editor/gui/widgets.py",
"copies": "1",
"size": "2064",
"license": "bsd-3-clause",
"hash": 135686952714937060,
"line_mean": 28.0704225352,
"line_max": 81,
"alpha_frac": 0.5683139535,
"autogenerated": false,
"ratio": 3.21... |
from __future__ import absolute_import, division
from plotly import exceptions, optional_imports
import plotly.colors as clrs
from plotly.figure_factory import utils
from plotly.graph_objs import graph_objs
from plotly.validators.heatmap import ColorscaleValidator
# Optional imports, may be None for users that only u... | {
"repo_name": "plotly/plotly.py",
"path": "packages/python/plotly/plotly/figure_factory/_annotated_heatmap.py",
"copies": "1",
"size": "10279",
"license": "mit",
"hash": -164766190271062240,
"line_mean": 32.4820846906,
"line_max": 87,
"alpha_frac": 0.5679540811,
"autogenerated": false,
"ratio": 3... |
from __future__ import absolute_import, division
from scout.constants import CONSEQUENCE, FEATURE_TYPES, SO_TERM_KEYS
from .transcript import Transcript
gene = dict(
# The hgnc gene id
hgnc_id=int, # required
hgnc_symbol=str,
# A list of Transcript objects
transcripts=list, # list of <transcrip... | {
"repo_name": "Clinical-Genomics/scout",
"path": "scout/models/variant/gene.py",
"copies": "1",
"size": "1095",
"license": "bsd-3-clause",
"hash": -5490195804594078000,
"line_mean": 42.8,
"line_max": 102,
"alpha_frac": 0.7415525114,
"autogenerated": false,
"ratio": 3.7889273356401385,
"config_t... |
from __future__ import absolute_import, division
from sqlalchemy.engine.base import Engine
from sqlalchemy.exc import StatementError
from twisted._threads import ThreadWorker, AlreadyQuit
from twisted.internet.defer import Deferred, fail
from twisted.python.failure import Failure
from threading import Thread
try:
... | {
"repo_name": "alex/alchimia",
"path": "alchimia/engine.py",
"copies": "1",
"size": "6024",
"license": "mit",
"hash": 5682922467735901000,
"line_mean": 29.578680203,
"line_max": 78,
"alpha_frac": 0.6133798141,
"autogenerated": false,
"ratio": 4.117566643882434,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division
from sqlalchemy.sql import func, case
from changes.constants import Result
from changes.models import Build, TestCase, Source, Job
from changes.utils.http import build_uri
def get_flaky_tests(start_period, end_period, projects, maxFlakyTests):
test_queryset = Tes... | {
"repo_name": "wfxiang08/changes",
"path": "changes/lib/flaky_tests.py",
"copies": "2",
"size": "2345",
"license": "apache-2.0",
"hash": 6890584507589434000,
"line_mean": 31.5694444444,
"line_max": 84,
"alpha_frac": 0.568869936,
"autogenerated": false,
"ratio": 3.5801526717557253,
"config_test"... |
from __future__ import absolute_import, division
from sys import stdout
from os import remove
from os.path import join, abspath, isdir
import os.path
from time import time, sleep
from multiprocessing import RawValue, Lock, Process, cpu_count
from string import Template
import numpy as np
from numpy.fft import irfftn ... | {
"repo_name": "haddocking/powerfit",
"path": "powerfit/powerfitter.py",
"copies": "1",
"size": "22830",
"license": "apache-2.0",
"hash": -530803999587287000,
"line_mean": 34.8398744113,
"line_max": 97,
"alpha_frac": 0.5423127464,
"autogenerated": false,
"ratio": 3.6651147856798842,
"config_test... |
from __future__ import absolute_import, division
from sys import stdout
import numpy as np
def vectorize_labels(labels, vec_len):
vectorized = np.zeros((len(labels), vec_len))
for i in xrange(len(labels)):
vectorized[i][labels[i]] = 1
return vectorized
def devectorize_labels(vectorized):
dev... | {
"repo_name": "zhaoyan1117/NeuralNet",
"path": "nnet/util.py",
"copies": "1",
"size": "1140",
"license": "bsd-2-clause",
"hash": -6609278364835120000,
"line_mean": 29.8108108108,
"line_max": 77,
"alpha_frac": 0.6289473684,
"autogenerated": false,
"ratio": 3.619047619047619,
"config_test": false... |
from __future__ import absolute_import, division
from twisted.internet import defer
from twisted.python import log, failure
from twisted.web import server
from twisted.web.iweb import IRenderable
from twisted.web.resource import Resource, IResource, getChildForRequest
from twisted.web.template import flattenString
fro... | {
"repo_name": "brighid/klein",
"path": "klein/resource.py",
"copies": "1",
"size": "8627",
"license": "mit",
"hash": -7650919095263021000,
"line_mean": 31.4323308271,
"line_max": 98,
"alpha_frac": 0.5854874232,
"autogenerated": false,
"ratio": 4.292039800995025,
"config_test": false,
"has_no_... |
from __future__ import absolute_import, division
from twisted.trial import unittest
import copy
import sys
from mock import Mock, patch
from twisted.python.components import registerAdapter
from klein import Klein
from klein.app import KleinRequest
from klein.interfaces import IKleinRequest
from klein.test.util im... | {
"repo_name": "joac/klein",
"path": "src/klein/test/test_app.py",
"copies": "1",
"size": "11218",
"license": "mit",
"hash": -6502252046380933000,
"line_mean": 28.2135416667,
"line_max": 83,
"alpha_frac": 0.5727402389,
"autogenerated": false,
"ratio": 3.6245557350565427,
"config_test": true,
"... |
from __future__ import absolute_import, division
from uuid import uuid4
from datetime import datetime
from sqlalchemy import Column, DateTime, ForeignKey, String
from sqlalchemy.orm import relationship
from sqlalchemy.schema import Index, UniqueConstraint
from changes.config import db
from changes.db.types.guid impo... | {
"repo_name": "bowlofstew/changes",
"path": "changes/models/failurereason.py",
"copies": "3",
"size": "1947",
"license": "apache-2.0",
"hash": 6459041088107098000,
"line_mean": 40.4255319149,
"line_max": 100,
"alpha_frac": 0.6979969183,
"autogenerated": false,
"ratio": 3.957317073170732,
"confi... |
from __future__ import absolute_import, division
import abc
import copy
import logging
import threading
import time
import weakref
from kafka.vendor import six
from kafka.coordinator.heartbeat import Heartbeat
from kafka import errors as Errors
from kafka.future import Future
from kafka.metrics import AnonMeasurable... | {
"repo_name": "scrapinghub/kafka-python",
"path": "kafka/coordinator/base.py",
"copies": "1",
"size": "45793",
"license": "apache-2.0",
"hash": -8793720392441014000,
"line_mean": 43.9391560353,
"line_max": 131,
"alpha_frac": 0.5956150503,
"autogenerated": false,
"ratio": 4.703954802259887,
"con... |
from __future__ import absolute_import, division
import AppKit
import Quartz
import os
from .pdfContext import PDFContext
from .baseContext import Color
def _nsDataConverter(value):
if isinstance(value, AppKit.NSData):
return value
return AppKit.NSData.dataWithBytes_length_(value, len(value))
def... | {
"repo_name": "schriftgestalt/drawbot",
"path": "drawBot/context/imageContext.py",
"copies": "1",
"size": "7678",
"license": "bsd-2-clause",
"hash": 5102690850530563000,
"line_mean": 41.8938547486,
"line_max": 406,
"alpha_frac": 0.6202135973,
"autogenerated": false,
"ratio": 4.234969663541092,
... |
from __future__ import absolute_import, division
import base64
import datetime
import hmac
import json
from hashlib import sha256
import phonenumbers
import pkg_resources
import six
from django.conf import settings
from django_redis import get_redis_connection
from rest_framework.exceptions import AuthenticationFaile... | {
"repo_name": "praekeltfoundation/ndoh-hub",
"path": "ndoh_hub/utils.py",
"copies": "1",
"size": "5990",
"license": "bsd-3-clause",
"hash": -1241683130017856000,
"line_mean": 26.6036866359,
"line_max": 87,
"alpha_frac": 0.6941569282,
"autogenerated": false,
"ratio": 3.4092202618099035,
"config_... |
from __future__ import absolute_import, division
import collections
import copy
import errno
import io
import logging
from random import shuffle, uniform
# selectors in stdlib as of py3.4
try:
import selectors # pylint: disable=import-error
except ImportError:
# vendored backport module
from kafka.vendor... | {
"repo_name": "Yelp/kafka-python",
"path": "kafka/conn.py",
"copies": "1",
"size": "65180",
"license": "apache-2.0",
"hash": 7639884263143005000,
"line_mean": 43.4914675768,
"line_max": 131,
"alpha_frac": 0.5793648358,
"autogenerated": false,
"ratio": 4.388634527336386,
"config_test": true,
"... |
from __future__ import absolute_import, division
import collections
import copy
import functools
import logging
import time
from kafka.vendor import six
from kafka.coordinator.base import BaseCoordinator, Generation
from kafka.coordinator.assignors.range import RangePartitionAssignor
from kafka.coordinator.assignors... | {
"repo_name": "Aloomaio/kafka-python",
"path": "kafka/coordinator/consumer.py",
"copies": "1",
"size": "38546",
"license": "apache-2.0",
"hash": -4062537523424029000,
"line_mean": 45.6658595642,
"line_max": 138,
"alpha_frac": 0.6001141493,
"autogenerated": false,
"ratio": 4.829115509897269,
"co... |
from __future__ import absolute_import, division
import collections
import copy
import logging
import random
import socket
import threading
import time
import weakref
# selectors in stdlib as of py3.4
try:
import selectors # pylint: disable=import-error
except ImportError:
# vendored backport module
from... | {
"repo_name": "dpkp/kafka-python",
"path": "kafka/client_async.py",
"copies": "3",
"size": "45265",
"license": "apache-2.0",
"hash": -4958425075171728000,
"line_mean": 41.0287836583,
"line_max": 131,
"alpha_frac": 0.5944548768,
"autogenerated": false,
"ratio": 4.489239313696321,
"config_test": ... |
from __future__ import absolute_import, division
import collections
import copy
import logging
import threading
import time
from kafka.vendor import six
from kafka import errors as Errors
from kafka.metrics.measurable import AnonMeasurable
from kafka.metrics.stats import Avg, Max, Rate
from kafka.protocol.produce im... | {
"repo_name": "Yelp/kafka-python",
"path": "kafka/producer/sender.py",
"copies": "2",
"size": "21856",
"license": "apache-2.0",
"hash": -4967074597308093000,
"line_mean": 42.712,
"line_max": 113,
"alpha_frac": 0.5858345534,
"autogenerated": false,
"ratio": 4.489728841413312,
"config_test": true... |
from __future__ import absolute_import, division
import collections
import io
import threading
import time
from ..codec import (has_gzip, has_snappy, has_lz4,
gzip_encode, snappy_encode,
lz4_encode, lz4_encode_old_kafka)
from .. import errors as Errors
from ..metrics.stats im... | {
"repo_name": "andresher/bigdata-project2",
"path": "kafka/producer/buffer.py",
"copies": "3",
"size": "16780",
"license": "mit",
"hash": -3322086831085530000,
"line_mean": 39.1435406699,
"line_max": 156,
"alpha_frac": 0.5672228844,
"autogenerated": false,
"ratio": 4.66759388038943,
"config_tes... |
from __future__ import absolute_import, division
import collections
import io
import threading
import time
from kafka.metrics.stats import Rate
import kafka.errors as Errors
class SimpleBufferPool(object):
"""A simple pool of BytesIO objects with a weak memory ceiling."""
def __init__(self, memory, poolabl... | {
"repo_name": "mumrah/kafka-python",
"path": "kafka/producer/buffer.py",
"copies": "5",
"size": "4370",
"license": "apache-2.0",
"hash": 6262416520791315000,
"line_mean": 37,
"line_max": 100,
"alpha_frac": 0.5581235698,
"autogenerated": false,
"ratio": 4.818081587651599,
"config_test": false,
... |
from __future__ import absolute_import, division
import collections
try:
basestring #PY2
bytes = str
range = xrange
except NameError:
basestring = str #PY3
unicode = str
def setdefault(obj, attr, value, search_mro=False, overwrite_none=False):
if search_mro:
exists = hasattr(obj, att... | {
"repo_name": "mlyundin/schematics",
"path": "schematics/util.py",
"copies": "1",
"size": "1091",
"license": "bsd-3-clause",
"hash": -8750721991879476000,
"line_mean": 19.5849056604,
"line_max": 73,
"alpha_frac": 0.5912007333,
"autogenerated": false,
"ratio": 3.9672727272727273,
"config_test": ... |
from __future__ import absolute_import, division
import contextlib
import itertools
import logging
import sys
import time
from signal import SIGINT, default_int_handler, signal
from pip._vendor import six
from pip._vendor.progress.bar import (
Bar, ChargingBar, FillingCirclesBar, FillingSquaresBar, IncrementalBar... | {
"repo_name": "zvezdan/pip",
"path": "src/pip/_internal/utils/ui.py",
"copies": "7",
"size": "13637",
"license": "mit",
"hash": -1685821907862129000,
"line_mean": 31.3919239905,
"line_max": 79,
"alpha_frac": 0.6352570213,
"autogenerated": false,
"ratio": 4.151293759512938,
"config_test": false,... |
from __future__ import absolute_import, division
import contextlib
import itertools
import logging
import sys
import time
from pip._vendor.progress import HIDE_CURSOR, SHOW_CURSOR
from pip._internal.utils.compat import WINDOWS
from pip._internal.utils.logging import get_indentation
from pip._internal.utils.typing im... | {
"repo_name": "jsirois/pex",
"path": "pex/vendor/_vendored/pip/pip/_internal/cli/spinners.py",
"copies": "4",
"size": "5509",
"license": "apache-2.0",
"hash": -5204615404775641000,
"line_mean": 30.8439306358,
"line_max": 78,
"alpha_frac": 0.6159012525,
"autogenerated": false,
"ratio": 4.006545454... |
from __future__ import absolute_import, division
import copy
import errno
import io
import logging
from random import shuffle, uniform
# selectors in stdlib as of py3.4
try:
import selectors # pylint: disable=import-error
except ImportError:
# vendored backport module
from kafka.vendor import selectors34... | {
"repo_name": "scrapinghub/kafka-python",
"path": "kafka/conn.py",
"copies": "1",
"size": "68402",
"license": "apache-2.0",
"hash": -4989628922058063000,
"line_mean": 43.6196999348,
"line_max": 131,
"alpha_frac": 0.5782140873,
"autogenerated": false,
"ratio": 4.36599221293164,
"config_test": tr... |
from __future__ import absolute_import, division
import copy
import logging
import socket
import time
from kafka.errors import KafkaConfigurationError, UnsupportedVersionError
from kafka.vendor import six
from kafka.client_async import KafkaClient, selectors
from kafka.consumer.fetcher import Fetcher
from kafka.con... | {
"repo_name": "Aloomaio/kafka-python",
"path": "kafka/consumer/group.py",
"copies": "1",
"size": "55616",
"license": "apache-2.0",
"hash": -9064776579291590000,
"line_mean": 46.5757057314,
"line_max": 123,
"alpha_frac": 0.6398878021,
"autogenerated": false,
"ratio": 4.830293555671356,
"config_t... |
from __future__ import absolute_import, division
import cudamat as cm
import numpy as np
from ._base import LayerBase
from .._neural_net_exception import NeuralNetException
import nnet.activation_func as af
class OutputLayer(LayerBase):
SUPPORTED_LOSS_FUNC = [
'MSE',
'CEE'
]
SUPPORTED_C... | {
"repo_name": "zhaoyan1117/NeuralNet",
"path": "nnet/layer/_output_layer.py",
"copies": "1",
"size": "3626",
"license": "bsd-2-clause",
"hash": 1521059551373180000,
"line_mean": 32.2660550459,
"line_max": 104,
"alpha_frac": 0.5890788748,
"autogenerated": false,
"ratio": 3.541015625,
"config_tes... |
from __future__ import absolute_import, division
import enum
from zeus.config import db
from zeus.db.mixins import RepositoryBoundMixin, StandardAttributes
from zeus.db.types import GUID, StrEnum
from zeus.db.utils import model_repr
class FailureReason(RepositoryBoundMixin, StandardAttributes, db.Model):
class ... | {
"repo_name": "getsentry/zeus",
"path": "zeus/models/failurereason.py",
"copies": "1",
"size": "1288",
"license": "apache-2.0",
"hash": 3234852153573868500,
"line_mean": 29.6666666667,
"line_max": 88,
"alpha_frac": 0.6242236025,
"autogenerated": false,
"ratio": 3.722543352601156,
"config_test":... |
from __future__ import absolute_import, division
import hashlib
import logging
import random as insecure_random
import re
from datetime import datetime
from flask import current_app
from sqlalchemy.exc import IntegrityError
from sqlalchemy.sql import func
from changes.config import db
from changes.constants import R... | {
"repo_name": "dropbox/changes",
"path": "changes/models/testresult.py",
"copies": "1",
"size": "11482",
"license": "apache-2.0",
"hash": -4147516400314370600,
"line_mean": 33.6888217523,
"line_max": 119,
"alpha_frac": 0.5823027347,
"autogenerated": false,
"ratio": 4.360805165210786,
"config_te... |
from __future__ import absolute_import, division
import itertools
import mock
import pytz
from datetime import datetime, timedelta
from sentry.testutils import TestCase
from sentry.tsdb.base import BaseTSDB, ONE_MINUTE, ONE_HOUR, ONE_DAY
from sentry.utils.dates import to_timestamp
from six.moves import xrange
clas... | {
"repo_name": "ifduyue/sentry",
"path": "tests/sentry/tsdb/test_base.py",
"copies": "3",
"size": "5410",
"license": "bsd-3-clause",
"hash": -3726191629301871000,
"line_mean": 39.9848484848,
"line_max": 93,
"alpha_frac": 0.6001848429,
"autogenerated": false,
"ratio": 3.499353169469599,
"config_t... |
from __future__ import absolute_import, division
import json
import logging
import random
import re
import requests
import sys
import time
import uuid
from cStringIO import StringIO
from contextlib import closing
from datetime import datetime
from flask import current_app
from lxml import etree, objectify
from typing... | {
"repo_name": "dropbox/changes",
"path": "changes/backends/jenkins/builder.py",
"copies": "1",
"size": "36175",
"license": "apache-2.0",
"hash": 705409330078255600,
"line_mean": 36.9192872117,
"line_max": 118,
"alpha_frac": 0.5829716655,
"autogenerated": false,
"ratio": 4.242904058174994,
"conf... |
from __future__ import absolute_import, division
import json
import logging
import re
import requests
import time
from cStringIO import StringIO
from contextlib import closing
from datetime import datetime
from flask import current_app
from lxml import etree, objectify
from changes.artifacts.coverage import Coverage... | {
"repo_name": "alex/changes",
"path": "changes/backends/jenkins/builder.py",
"copies": "1",
"size": "29270",
"license": "apache-2.0",
"hash": -584135660296518900,
"line_mean": 33.4758539458,
"line_max": 124,
"alpha_frac": 0.5485138367,
"autogenerated": false,
"ratio": 4.192208536236036,
"config... |
from __future__ import absolute_import, division
import logging
import re
from functools import wraps
from itertools import chain
from textwrap import dedent
import docker
import requests
from requests.exceptions import HTTPError, RequestException
DOCKER_PORT = 2375
DOCKER_VERSION = "1.15"
TIMEOUT = 15
def _ignor... | {
"repo_name": "Trundle/harpoon",
"path": "harpoon/docker.py",
"copies": "1",
"size": "5377",
"license": "mit",
"hash": 1120484453636972700,
"line_mean": 29.7257142857,
"line_max": 79,
"alpha_frac": 0.6062860331,
"autogenerated": false,
"ratio": 3.902031930333817,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division
import logging
import re
import time
from record import Record
NULL_BSSID = "00:00:00:00:00:00"
MIN_ACCURACY, MAX_ACCURACY = 0, 20000 # radius in meters
MIN_ALTITUDE, MAX_ALTITUDE = -418, 8848 # meters, Dead Sea, Mount Everest :)
MIN_LATITUDE, MAX_LATITUDE ... | {
"repo_name": "cpeterso/stumbler-tsv",
"path": "tsv/wifi.py",
"copies": "1",
"size": "7414",
"license": "mpl-2.0",
"hash": 1310801603094752000,
"line_mean": 28.7751004016,
"line_max": 227,
"alpha_frac": 0.5319665498,
"autogenerated": false,
"ratio": 3.2403846153846154,
"config_test": true,
"h... |
from __future__ import absolute_import, division
import logging
import six
from datetime import timedelta
from django.utils import timezone
from sentry.auth.exceptions import IdentityNotValid
from sentry.models import AuthIdentity, OrganizationMember
from sentry.tasks.base import instrumented_task
from sentry.utils ... | {
"repo_name": "mvaled/sentry",
"path": "src/sentry/tasks/check_auth.py",
"copies": "3",
"size": "3250",
"license": "bsd-3-clause",
"hash": -2367514026526764000,
"line_mean": 33.2105263158,
"line_max": 98,
"alpha_frac": 0.6593846154,
"autogenerated": false,
"ratio": 3.958587088915956,
"config_te... |
from __future__ import absolute_import, division
import logging
from lxml import etree
from changes.constants import Result
from changes.models import TestResult, TestResultManager
from .base import ArtifactHandler
class XunitHandler(ArtifactHandler):
logger = logging.getLogger('xunit')
def process(self,... | {
"repo_name": "alex/changes",
"path": "changes/artifacts/xunit.py",
"copies": "1",
"size": "3665",
"license": "apache-2.0",
"hash": 1408055693619089400,
"line_mean": 29.2892561983,
"line_max": 78,
"alpha_frac": 0.5091405184,
"autogenerated": false,
"ratio": 4.686700767263427,
"config_test": tru... |
from __future__ import absolute_import, division
import math
import numpy as np
import cudamat as cm
from ._base import LayerBase
from .._neural_net_exception import NeuralNetException
class FullyConnectedLayer(LayerBase):
def __init__(self, level, size, activation_func,
sigma='c', use_bias=Tr... | {
"repo_name": "zhaoyan1117/NeuralNet",
"path": "nnet/layer/_fully_connected_layer.py",
"copies": "1",
"size": "10157",
"license": "bsd-2-clause",
"hash": -2613913611071390000,
"line_mean": 33.3141891892,
"line_max": 81,
"alpha_frac": 0.5687703062,
"autogenerated": false,
"ratio": 3.55139860139860... |
from __future__ import absolute_import, division
import mock
from treq.test.util import TestCase
import treq
from treq._utils import set_global_pool
class TreqAPITests(TestCase):
def setUp(self):
set_global_pool(None)
agent_patcher = mock.patch('treq.api.Agent')
self.Agent = agent_patch... | {
"repo_name": "mithrandi/treq",
"path": "src/treq/test/test_api.py",
"copies": "3",
"size": "1562",
"license": "mit",
"hash": -2008709315475113700,
"line_mean": 27.4,
"line_max": 67,
"alpha_frac": 0.6434058899,
"autogenerated": false,
"ratio": 3.763855421686747,
"config_test": true,
"has_no_k... |
from __future__ import absolute_import, division
import mock
from twisted.trial.unittest import TestCase
import treq
from treq._utils import set_global_pool
class TreqAPITests(TestCase):
def setUp(self):
set_global_pool(None)
agent_patcher = mock.patch('treq.api.Agent')
self.Agent = ag... | {
"repo_name": "pexip/os-python-treq",
"path": "src/treq/test/test_api.py",
"copies": "2",
"size": "1571",
"license": "mit",
"hash": 3594283512873735000,
"line_mean": 27.0535714286,
"line_max": 67,
"alpha_frac": 0.6448122215,
"autogenerated": false,
"ratio": 3.7855421686746986,
"config_test": tr... |
from __future__ import absolute_import, division
import numpy as np
from scipy.ndimage.interpolation import map_coordinates as sp_map_coordinates
import tensorflow as tf
def tf_flatten(a):
"""Flatten tensor"""
return tf.reshape(a, [-1])
def tf_repeat(a, repeats, axis=0):
"""TensorFlow version of np.rep... | {
"repo_name": "andrewv587/pycharm-project",
"path": "deform-conv-dir/deform_conv.py",
"copies": "1",
"size": "4992",
"license": "apache-2.0",
"hash": 5017687186991629000,
"line_mean": 28.8922155689,
"line_max": 77,
"alpha_frac": 0.6061698718,
"autogenerated": false,
"ratio": 3.0701107011070112,
... |
from __future__ import absolute_import, division
import numpy as np
from shapely.geometry import box, Polygon
def center_error(rects1, rects2):
r"""Center error.
Args:
rects1 (numpy.ndarray): An N x 4 numpy array, each line represent a rectangle
(left, top, width, height).
rects2... | {
"repo_name": "got-10k/toolkit",
"path": "got10k/utils/metrics.py",
"copies": "1",
"size": "5804",
"license": "mit",
"hash": 3400233062668201500,
"line_mean": 36.6883116883,
"line_max": 120,
"alpha_frac": 0.5689179876,
"autogenerated": false,
"ratio": 3.127155172413793,
"config_test": false,
... |
from __future__ import absolute_import, division
import numpy as np
import catboost
from eli5.explain import explain_weights
from eli5._feature_importances import get_feature_importance_explanation
DESCRIPTION_CATBOOST = """CatBoost feature importances;
values are numbers 0 <= x <= 1; all values sum to 1."""
@expl... | {
"repo_name": "TeamHG-Memex/eli5",
"path": "eli5/catboost.py",
"copies": "1",
"size": "3786",
"license": "mit",
"hash": -139734811684731220,
"line_mean": 43.5529411765,
"line_max": 89,
"alpha_frac": 0.5969360803,
"autogenerated": false,
"ratio": 4.605839416058394,
"config_test": false,
"has_n... |
from __future__ import absolute_import, division
import numpy as np
from ._base import PreprocessingBase
class NormalizeRmZeroStd(PreprocessingBase):
"""
Not exact a PCA, only remove features with std 0.
"""
def fit(self, X):
self.means = np.empty((0,))
self.stds = np.empty((0,))
... | {
"repo_name": "zhaoyan1117/NeuralNet",
"path": "nnet/preprocessing/_normalize_rm_zero_std.py",
"copies": "1",
"size": "1873",
"license": "bsd-2-clause",
"hash": -8554707934880720000,
"line_mean": 28.7301587302,
"line_max": 79,
"alpha_frac": 0.5125467165,
"autogenerated": false,
"ratio": 3.8302658... |
from __future__ import absolute_import, division
import numpy as np
from ._base import PreprocessingBase
class Normalize(PreprocessingBase):
def fit(self, X):
self.means = np.empty((0,))
self.stds = np.empty((0,))
transformed = np.empty(X.shape)
for c in xrange(X.shape[1]):
... | {
"repo_name": "zhaoyan1117/NeuralNet",
"path": "nnet/preprocessing/_normalize.py",
"copies": "1",
"size": "1066",
"license": "bsd-2-clause",
"hash": 4449069613367455000,
"line_mean": 27.8108108108,
"line_max": 56,
"alpha_frac": 0.5262664165,
"autogenerated": false,
"ratio": 3.7142857142857144,
... |
from __future__ import absolute_import, division
import numpy as np
from ..logger import msg
from ..constants import ZGLOBAL
def add_k0s(k0, mesh, prop_from_node, alpha, maxl_from_area, silent=True):
msg('Adding K0s to K0...', silent=silent)
dof = 5
for tria in mesh.elements.values():
# n1 -> n2... | {
"repo_name": "compmech/meshless",
"path": "meshless/espim/plate2d_add_k0s_cell_based_no_smoothing.py",
"copies": "1",
"size": "9397",
"license": "bsd-2-clause",
"hash": -5724293151182580000,
"line_mean": 63.8068965517,
"line_max": 152,
"alpha_frac": 0.4770671491,
"autogenerated": false,
"ratio":... |
from __future__ import absolute_import, division
import numpy as np
from ..logger import msg
from ..utils import area_of_polygon, getMid
def calc_kG(d, mesh, prop_from_node, silent=True):
"""Calculate the geometric stiffness matrix for a given input mesh
Parameters
----------
d : (N) array-like
... | {
"repo_name": "compmech/meshless",
"path": "meshless/espim/plate2d_calc_kG.py",
"copies": "1",
"size": "11838",
"license": "bsd-2-clause",
"hash": 2069918762163999700,
"line_mean": 65.5056179775,
"line_max": 418,
"alpha_frac": 0.5601452948,
"autogenerated": false,
"ratio": 1.940655737704918,
"c... |
from __future__ import absolute_import, division
import operator
import re
from functools import partial, reduce
from django.apps import apps
from django.db import connections
from django.db.models import Q
from django.utils.lru_cache import lru_cache
from django.utils.six.moves import zip_longest
from wagtail.wagtai... | {
"repo_name": "wagtail/wagtail-pg-search-backend",
"path": "wagtail_pgsearchbackend/utils.py",
"copies": "1",
"size": "4196",
"license": "mit",
"hash": -8986085859116415000,
"line_mean": 32.0393700787,
"line_max": 111,
"alpha_frac": 0.6530028599,
"autogenerated": false,
"ratio": 3.797285067873303... |
from __future__ import absolute_import, division
import os
import unittest
from unittest import TestCase
from unittest.mock import patch
from dnaStreaming.config import Config
class TestConfig(TestCase):
def tearDown(self):
self.ensure_remove_environment_variable(Config.ENV_VAR_USER_KEY)
self.en... | {
"repo_name": "dowjones/dj-dna-streams-python",
"path": "dnaStreaming/test/test_config.py",
"copies": "1",
"size": "5590",
"license": "mit",
"hash": 1336545254640459800,
"line_mean": 32.0769230769,
"line_max": 99,
"alpha_frac": 0.624686941,
"autogenerated": false,
"ratio": 3.823529411764706,
"c... |
from __future__ import absolute_import, division
import os
from io import BytesIO
from six.moves.urllib.parse import parse_qs
from mock import Mock, call
from twisted.internet.defer import succeed, Deferred, fail, CancelledError
from twisted.internet.error import ConnectionLost
from twisted.internet.unix import Ser... | {
"repo_name": "joac/klein",
"path": "src/klein/test/test_resource.py",
"copies": "2",
"size": "32047",
"license": "mit",
"hash": 4703557324631047000,
"line_mean": 26.7463203463,
"line_max": 96,
"alpha_frac": 0.5943146004,
"autogenerated": false,
"ratio": 3.992898081235983,
"config_test": true,
... |
from __future__ import absolute_import, division
import os
import numpy as np
from pyrl import fittools, runtools, tasktools, utils
from pyrl.figtools import apply_alpha, Figure
#/////////////////////////////////////////////////////////////////////////////////////////
def plot_trial(pg, m, init, init_b, r... | {
"repo_name": "frsong/pyrl",
"path": "examples/analysis/mante.py",
"copies": "1",
"size": "51395",
"license": "mit",
"hash": -1213279458656972000,
"line_mean": 32.0089916506,
"line_max": 95,
"alpha_frac": 0.4163440023,
"autogenerated": false,
"ratio": 3.6160557236332935,
"config_test": false,
... |
from __future__ import absolute_import, division
import os
import numpy as np
from pyrl import runtools, tasktools, utils
from pyrl.figtools import Figure, mpl
#/////////////////////////////////////////////////////////////////////////////////////////
cmap = mpl.cm.jet
norm = mpl.colors.Normalize(vmin=10, ... | {
"repo_name": "frsong/pyrl",
"path": "examples/analysis/romo.py",
"copies": "1",
"size": "7096",
"license": "mit",
"hash": 8372435807800582000,
"line_mean": 28.8151260504,
"line_max": 90,
"alpha_frac": 0.4199549042,
"autogenerated": false,
"ratio": 3.6483290488431876,
"config_test": true,
"ha... |
from __future__ import absolute_import, division
import posixpath
from braces.views import AjaxResponseMixin
from django import http, shortcuts
from django.conf import settings
from django.contrib import messages
from django.core.files.base import ContentFile
from django.core.urlresolvers import reverse
from django.u... | {
"repo_name": "lyoniionly/django-cobra",
"path": "src/cobra/apps/svnkit/views.py",
"copies": "1",
"size": "13501",
"license": "apache-2.0",
"hash": 4986688258263391000,
"line_mean": 39.6686746988,
"line_max": 124,
"alpha_frac": 0.6408414192,
"autogenerated": false,
"ratio": 3.8508271534512266,
... |
from __future__ import absolute_import, division
import pprint
import re
import copy
import itertools
import operator
import pymongo
import six
from bson.code import Code
from . import signals
from functools import reduce
__all__ = ['queryset_manager', 'Q', 'InvalidQueryError',
'DO_NOTHING', 'NULLIFY', '... | {
"repo_name": "conversocial/mongoengine",
"path": "mongoengine/queryset.py",
"copies": "1",
"size": "65638",
"license": "mit",
"hash": 3737054200342665000,
"line_mean": 35.3847006652,
"line_max": 114,
"alpha_frac": 0.5389103873,
"autogenerated": false,
"ratio": 4.571209694268403,
"config_test":... |
from __future__ import absolute_import, division
import pytz
import six
from datetime import datetime, timedelta
from sentry.testutils.cases import OutcomesSnubaTest
from sentry.tsdb.base import TSDBModel
from sentry.tsdb.snuba import SnubaTSDB
from sentry.utils.dates import to_timestamp
from sentry.utils.outcomes im... | {
"repo_name": "beeftornado/sentry",
"path": "tests/sentry/tsdb/test_snuba.py",
"copies": "1",
"size": "9972",
"license": "bsd-3-clause",
"hash": -5009904867030452000,
"line_mean": 40.7238493724,
"line_max": 100,
"alpha_frac": 0.5768150822,
"autogenerated": false,
"ratio": 3.8133843212237095,
"c... |
from __future__ import absolute_import, division
import re
from changes.config import db
from changes.db.utils import get_or_create
from changes.jobs.sync_job_step import sync_job_step
from changes.models import JobPhase
from .builder import JenkinsBuilder
BASE_XPATH = '/freeStyleProject/build[action/cause/upstream... | {
"repo_name": "alex/changes",
"path": "changes/backends/jenkins/factory_builder.py",
"copies": "1",
"size": "2659",
"license": "apache-2.0",
"hash": 7501269454299409000,
"line_mean": 34.9324324324,
"line_max": 136,
"alpha_frac": 0.5885671305,
"autogenerated": false,
"ratio": 3.8817518248175182,
... |
from __future__ import absolute_import, division
import six
import itertools
from functools import reduce, partial
from operator import or_
from django.db.models import Q
from sentry.models import Release, Project, ProjectStatus, EventUser
from sentry.utils.dates import to_timestamp
from sentry.utils.geo import geo_... | {
"repo_name": "beeftornado/sentry",
"path": "src/sentry/api/serializers/snuba.py",
"copies": "1",
"size": "10945",
"license": "bsd-3-clause",
"hash": 2720376784241565700,
"line_mean": 31.2861356932,
"line_max": 100,
"alpha_frac": 0.5806304249,
"autogenerated": false,
"ratio": 3.7227891156462585,
... |
from __future__ import absolute_import, division
import sys
from collections import OrderedDict
import numpy as np
import theano
from theano import tensor
from . import matrixtools, nptools, theanotools
from .debug import DEBUG
from .recurrent import Recurrent
from . import tasktools
configs_requ... | {
"repo_name": "frsong/pyrl",
"path": "pyrl/gru.py",
"copies": "1",
"size": "14283",
"license": "mit",
"hash": -20953905864797276,
"line_mean": 35.6230769231,
"line_max": 96,
"alpha_frac": 0.3829027515,
"autogenerated": false,
"ratio": 4.0669134396355355,
"config_test": true,
"has_no_keywords"... |
from __future__ import absolute_import, division
import tensorflow as tf
from keras.layers import Conv2D
from keras.initializers import RandomNormal
from deform_conv import tf_batch_map_offsets
class ConvOffset2D(Conv2D):
"""ConvOffset2D
Convolutional layer responsible for learning the 2D offsets and output ... | {
"repo_name": "andrewv587/pycharm-project",
"path": "deform-conv-dir/layers.py",
"copies": "1",
"size": "2533",
"license": "apache-2.0",
"hash": -2990394093258062300,
"line_mean": 28.8,
"line_max": 78,
"alpha_frac": 0.5479668377,
"autogenerated": false,
"ratio": 3.234993614303959,
"config_test"... |
from __future__ import absolute_import, division
import textwrap
from pprint import PrettyPrinter
from _plotly_utils.utils import *
from _plotly_utils.data_utils import *
# Pretty printing
def _list_repr_elided(v, threshold=200, edgeitems=3, indent=0, width=80):
"""
Return a string representation for of a li... | {
"repo_name": "plotly/plotly.py",
"path": "packages/python/plotly/plotly/utils.py",
"copies": "1",
"size": "6190",
"license": "mit",
"hash": 6601925392878992000,
"line_mean": 28.6172248804,
"line_max": 86,
"alpha_frac": 0.5431340872,
"autogenerated": false,
"ratio": 4.011665586519767,
"config_t... |
from __future__ import absolute_import, division
import textwrap
from pprint import PrettyPrinter
from _plotly_utils.utils import *
# Pretty printing
def _list_repr_elided(v, threshold=200, edgeitems=3, indent=0, width=80):
"""
Return a string representation for of a list where list is elided if
it has ... | {
"repo_name": "plotly/python-api",
"path": "packages/python/plotly/plotly/utils.py",
"copies": "1",
"size": "6152",
"license": "mit",
"hash": 1368567271607791400,
"line_mean": 28.4354066986,
"line_max": 86,
"alpha_frac": 0.5416124837,
"autogenerated": false,
"ratio": 4.0209150326797385,
"config... |
from __future__ import absolute_import, division
import textwrap
def chunked(iterator, chunk_size):
"""
Given an iterator, chunk it up into ~chunk_size, but be aware of newline
termination as an intended goal.
"""
result = ''
for chunk in iterator:
result += chunk
while len(re... | {
"repo_name": "bowlofstew/changes",
"path": "changes/utils/text.py",
"copies": "3",
"size": "1050",
"license": "apache-2.0",
"hash": -985502997929510100,
"line_mean": 26.6315789474,
"line_max": 76,
"alpha_frac": 0.5838095238,
"autogenerated": false,
"ratio": 3.9622641509433962,
"config_test": f... |
from __future__ import absolute_import, division
import time
import os
import sys
import errno
from . import (LockBase, LockFailed, NotLocked, NotMyLock, LockTimeout,
AlreadyLocked)
class MkdirLockFile(LockBase):
"""Lock file by creating a directory."""
def __init__(self, path, threaded=True):... | {
"repo_name": "alivesay/squire",
"path": "lib/lockfile-0.9.1/lockfile/mkdirlockfile.py",
"copies": "18",
"size": "2701",
"license": "unlicense",
"hash": -1346094643958306000,
"line_mean": 33.1898734177,
"line_max": 76,
"alpha_frac": 0.4853757867,
"autogenerated": false,
"ratio": 4.427868852459016... |
from __future__ import absolute_import, division
import time
import os
from . import LockBase, NotLocked, NotMyLock, LockTimeout, AlreadyLocked
class SQLiteLockFile(LockBase):
"Demonstrate SQL-based locking."
import tempfile
_fd, testdb = tempfile.mkstemp()
os.close(_fd)
os.unlink(testdb)
de... | {
"repo_name": "sorenh/cc",
"path": "vendor/lockfile/lockfile/sqlitelockfile.py",
"copies": "3",
"size": "4984",
"license": "apache-2.0",
"hash": -1206400192914358500,
"line_mean": 34.0985915493,
"line_max": 72,
"alpha_frac": 0.4691011236,
"autogenerated": false,
"ratio": 4.710775047258979,
"con... |
from __future__ import absolute_import, division
import time
import os
try:
unicode
except NameError:
unicode = str
from . import LockBase, NotLocked, NotMyLock, LockTimeout, AlreadyLocked
class SQLiteLockFile(LockBase):
"Demonstrate SQL-based locking."
testdb = None
def __init__(self, path, ... | {
"repo_name": "GiovanniConserva/TestDeploy",
"path": "venv/Lib/site-packages/pip/_vendor/lockfile/sqlitelockfile.py",
"copies": "536",
"size": "5506",
"license": "bsd-3-clause",
"hash": 7542428149643833000,
"line_mean": 34.2948717949,
"line_max": 75,
"alpha_frac": 0.4734834726,
"autogenerated": fal... |
from __future__ import absolute_import, division
import torch
from torch.autograd import Variable
import numpy as np
from scipy.ndimage.interpolation import map_coordinates as sp_map_coordinates
def th_flatten(a):
"""Flatten tensor"""
return a.contiguous().view(a.nelement())
def th_repeat(a, repeats, axis... | {
"repo_name": "oeway/pytorch-deform-conv",
"path": "torch_deform_conv/deform_conv.py",
"copies": "1",
"size": "6144",
"license": "mit",
"hash": 4894246253913568000,
"line_mean": 31.5079365079,
"line_max": 142,
"alpha_frac": 0.6153971354,
"autogenerated": false,
"ratio": 3.1077389984825494,
"con... |
from __future__ import absolute_import, division
import torch
import torch.nn as nn
import numpy as np
from torch_deform_conv.deform_conv import th_batch_map_offsets, th_generate_grid
class ConvOffset2D(nn.Conv2d):
"""ConvOffset2D
Convolutional layer responsible for learning the 2D offsets and output the
... | {
"repo_name": "oeway/pytorch-deform-conv",
"path": "torch_deform_conv/layers.py",
"copies": "1",
"size": "3001",
"license": "mit",
"hash": -613533520039269500,
"line_mean": 33.1022727273,
"line_max": 108,
"alpha_frac": 0.5788070643,
"autogenerated": false,
"ratio": 3.155625657202944,
"config_te... |
from __future__ import absolute_import, division
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch_deform_conv.layers import ConvOffset2D
class ConvNet(nn.Module):
def __init__(self):
super(ConvNet, self).__init__()
# conv11
self.conv11 = nn.Conv2d(1, 32, 3, pa... | {
"repo_name": "oeway/pytorch-deform-conv",
"path": "torch_deform_conv/cnn.py",
"copies": "1",
"size": "3415",
"license": "mit",
"hash": -3918284970811787000,
"line_mean": 26.5403225806,
"line_max": 89,
"alpha_frac": 0.5373352855,
"autogenerated": false,
"ratio": 3.1215722120658134,
"config_test... |
from __future__ import absolute_import, division
import uuid
from datetime import datetime
from sqlalchemy import Column, DateTime, ForeignKey, String, Text, Integer
from sqlalchemy.orm import relationship
from sqlalchemy.schema import Index, UniqueConstraint
from changes.config import db
from changes.db.types.guid ... | {
"repo_name": "dropbox/changes",
"path": "changes/models/filecoverage.py",
"copies": "1",
"size": "1845",
"license": "apache-2.0",
"hash": 8695273067251792000,
"line_mean": 33.1666666667,
"line_max": 91,
"alpha_frac": 0.6818428184,
"autogenerated": false,
"ratio": 3.9006342494714588,
"config_te... |
from __future__ import absolute_import, division
import uuid
from datetime import datetime
from sqlalchemy import Column, DateTime, ForeignKey, Text, Integer
from changes.config import db
from changes.constants import Result, ResultSource, Status
from changes.db.types.enum import Enum
from changes.db.types.guid impo... | {
"repo_name": "dropbox/changes",
"path": "changes/models/bazeltarget.py",
"copies": "1",
"size": "1396",
"license": "apache-2.0",
"hash": 4154827816043156000,
"line_mean": 38.8857142857,
"line_max": 83,
"alpha_frac": 0.6948424069,
"autogenerated": false,
"ratio": 3.8885793871866294,
"config_tes... |
from __future__ import absolute_import, division
import uuid
from sqlalchemy import Column, ForeignKey, String
from sqlalchemy.orm import relationship
from sqlalchemy.schema import UniqueConstraint
from changes.config import db
from changes.constants import Result
from changes.db.types.enum import Enum
from changes.... | {
"repo_name": "dropbox/changes",
"path": "changes/models/revisionresult.py",
"copies": "1",
"size": "1184",
"license": "apache-2.0",
"hash": 2488367511353378000,
"line_mean": 32.8285714286,
"line_max": 91,
"alpha_frac": 0.6959459459,
"autogenerated": false,
"ratio": 4,
"config_test": false,
"... |
from __future__ import absolute_import, division
from keras.layers import Input, Conv2D, Activation, GlobalAvgPool2D, Dense, BatchNormalization
from layers import ConvOffset2D
def get_cnn():
inputs = l = Input((28, 28, 1), name='input')
# conv11
l = Conv2D(32, (3, 3), padding='same', name='conv11')(l)
... | {
"repo_name": "andrewv587/pycharm-project",
"path": "deform-conv-dir/cnn.py",
"copies": "1",
"size": "2420",
"license": "apache-2.0",
"hash": 4663909647229439000,
"line_mean": 33.5714285714,
"line_max": 105,
"alpha_frac": 0.6198347107,
"autogenerated": false,
"ratio": 3.025,
"config_test": fals... |
from __future__ import absolute_import, division
import collections
import importlib
import math
import uuid
class Undefined(object):
def __repr__(self):
return "Undefined"
def __bool__(self):
return False
def __nonzero__(self):
return False
Undefined = Undefined()
def impo... | {
"repo_name": "kpanic/lymph",
"path": "iris/utils/__init__.py",
"copies": "2",
"size": "2825",
"license": "apache-2.0",
"hash": -5229553133795462000,
"line_mean": 23.5652173913,
"line_max": 90,
"alpha_frac": 0.5663716814,
"autogenerated": false,
"ratio": 3.912742382271468,
"config_test": false,... |
from __future__ import absolute_import, division
"""
Unit tests for M2Crypto.EVP.
Copyright (c) 2004-2007 Open Source Applications Foundation
Author: Heikki Toivonen
"""
import base64
import hashlib
import io
import logging
from binascii import a2b_hex, hexlify, unhexlify
from M2Crypto import BIO, EVP, RSA, Rand, ... | {
"repo_name": "Edzvu/Edzvu.github.io",
"path": "M2Crypto-0.35.2/tests/test_evp.py",
"copies": "1",
"size": "24835",
"license": "mit",
"hash": -8210561619617866000,
"line_mean": 38.1102362205,
"line_max": 254,
"alpha_frac": 0.5654922488,
"autogenerated": false,
"ratio": 3.388130968622101,
"confi... |
from __future__ import absolute_import, division
# selectors in stdlib as of py3.4
try:
import selectors # pylint: disable=import-error
except ImportError:
# vendored backport module
import kafka.vendor.selectors34 as selectors
import socket
import time
import pytest
from kafka.client_async import Kafka... | {
"repo_name": "scrapinghub/kafka-python",
"path": "test/test_client_async.py",
"copies": "7",
"size": "12342",
"license": "apache-2.0",
"hash": 4248268982813794000,
"line_mean": 29.1760391198,
"line_max": 88,
"alpha_frac": 0.6846540269,
"autogenerated": false,
"ratio": 3.5082433200682206,
"conf... |
from __future__ import (absolute_import, division,
print_function)
from astropy.io import fits
from astropy.table import Table
from astropy.time import Time
import astropy.units as u
import os
import numpy as np
from srttools.io import mkdir_p, locations, read_data_fitszilla, \
get_chan_colu... | {
"repo_name": "matteobachetti/srt-single-dish-tools",
"path": "srttools/converters/mbfits.py",
"copies": "1",
"size": "30651",
"license": "bsd-3-clause",
"hash": 6018597750660430000,
"line_mean": 39.5436507937,
"line_max": 79,
"alpha_frac": 0.5084662817,
"autogenerated": false,
"ratio": 3.4254582... |
from __future__ import (absolute_import, division,
print_function)
from astropy.io import fits
from astropy.time import Time
from astropy.io.fits.column import _parse_tdim
import astropy.units as u
import astropy.constants as c
import os
import numpy as np
from srttools.io import mkdir_p, locati... | {
"repo_name": "matteobachetti/srt-single-dish-tools",
"path": "srttools/converters/sdfits.py",
"copies": "1",
"size": "21136",
"license": "bsd-3-clause",
"hash": 2668685654415365000,
"line_mean": 40.9365079365,
"line_max": 79,
"alpha_frac": 0.4872728993,
"autogenerated": false,
"ratio": 3.6260078... |
from __future__ import (absolute_import, division,
print_function)
from astropy.io import fits
import numpy as np
from scipy.optimize import curve_fit
from .utils import HAS_MPL
from astropy import log
if HAS_MPL:
import matplotlib.pyplot as plt
def exptau(airmass, tatm, tau, t0):
"""... | {
"repo_name": "matteobachetti/srt-single-dish-tools",
"path": "srttools/opacity.py",
"copies": "1",
"size": "4070",
"license": "bsd-3-clause",
"hash": 5056985700740327000,
"line_mean": 30.796875,
"line_max": 77,
"alpha_frac": 0.5638820639,
"autogenerated": false,
"ratio": 3.563922942206655,
"co... |
from __future__ import (absolute_import, division,
print_function)
from flask import request
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, map, zip)
from flask.views import Me... | {
"repo_name": "totem/cluster-deployer",
"path": "deployer/views/health.py",
"copies": "1",
"size": "1645",
"license": "mit",
"hash": 3685962042694551000,
"line_mean": 29.462962963,
"line_max": 73,
"alpha_frac": 0.623100304,
"autogenerated": false,
"ratio": 3.7133182844243793,
"config_test": fal... |
from __future__ import (absolute_import, division,
print_function)
import math
import numpy as np
import matplotlib
from matplotlib.figure import Figure
from matplotlib.axes import Axes
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.collections import BrokenB... | {
"repo_name": "NSLS-II-HXN/PyXRF",
"path": "pyxrf/model/lineplot.py",
"copies": "1",
"size": "79123",
"license": "bsd-3-clause",
"hash": 2505826788844610000,
"line_mean": 40.4690775681,
"line_max": 114,
"alpha_frac": 0.5377197528,
"autogenerated": false,
"ratio": 3.8706095294002543,
"config_tes... |
from __future__ import (absolute_import, division,
print_function)
import numpy as np
try:
import matplotlib.pyplot as plt
HAS_MPL = True
except ImportError:
HAS_MPL = False
from .fit import mad
def mask_zeros(image, expo=None, npix_tol=None):
"""Mask the lines containing zero... | {
"repo_name": "matteobachetti/srt-single-dish-tools",
"path": "srttools/destripe.py",
"copies": "1",
"size": "6447",
"license": "bsd-3-clause",
"hash": 4728438608578571000,
"line_mean": 30.7586206897,
"line_max": 77,
"alpha_frac": 0.542888165,
"autogenerated": false,
"ratio": 3.2527749747729566,
... |
from __future__ import (absolute_import, division,
print_function)
import xml.etree.ElementTree as ET
from astropy.table import Table
from astropy.time import Time
import os
import numpy as np
def load_acs_log_file(fname, full=False):
with open(fname) as fd:
doc = fd.read()
... | {
"repo_name": "matteobachetti/srt-single-dish-tools",
"path": "srttools/parse_acs_logs.py",
"copies": "1",
"size": "2390",
"license": "bsd-3-clause",
"hash": 890626363340643500,
"line_mean": 30.8666666667,
"line_max": 76,
"alpha_frac": 0.540167364,
"autogenerated": false,
"ratio": 3.9504132231404... |
from __future__ import (absolute_import, division,
print_function)
import collections
import logging
import math
import numpy as np
import os
import six
import warnings
from astropy.io import fits
from astropy.table import Table
import stingray.utils as utils
from .utils import order_list_of_... | {
"repo_name": "pabell/stingray",
"path": "stingray/io.py",
"copies": "1",
"size": "24667",
"license": "mit",
"hash": -8732638213825773000,
"line_mean": 27.4509803922,
"line_max": 96,
"alpha_frac": 0.5620059188,
"autogenerated": false,
"ratio": 4.045096753033781,
"config_test": false,
"has_no_... |
from __future__ import (absolute_import, division,
print_function)
import numpy as np
from collections import OrderedDict
import os
import re
from atom.api import (Atom, Str, observe, List, Int, Bool, Typed)
from skbeam.fluorescence import XrfElement as Element
from skbeam.core.fitting.xrf_mo... | {
"repo_name": "NSLS-II-HXN/PyXRF",
"path": "pyxrf/model/roi_model.py",
"copies": "1",
"size": "13120",
"license": "bsd-3-clause",
"hash": 8678859499701920000,
"line_mean": 33.801061008,
"line_max": 98,
"alpha_frac": 0.5728658537,
"autogenerated": false,
"ratio": 3.9269679736605805,
"config_test... |
from __future__ import (absolute_import, division,
print_function)
import numpy as np
import json
from collections import OrderedDict
import copy
import math
from atom.api import (Atom, Str, observe, Typed,
Int, Dict, List, Float, Bool)
from skbeam.fluorescence import Xr... | {
"repo_name": "NSLS-II-HXN/PyXRF",
"path": "pyxrf/model/parameters.py",
"copies": "1",
"size": "58600",
"license": "bsd-3-clause",
"hash": 6706441899772911000,
"line_mean": 36.6123234917,
"line_max": 112,
"alpha_frac": 0.5575767918,
"autogenerated": false,
"ratio": 3.92025689055392,
"config_tes... |
from __future__ import (absolute_import, division,
print_function)
import numpy as np
import math
from functools import partial
from matplotlib.figure import Figure, Axes
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.ticker as mticker
from mpl_toolkits.... | {
"repo_name": "NSLS-II-HXN/PyXRF",
"path": "pyxrf/model/draw_image_rgb.py",
"copies": "1",
"size": "31402",
"license": "bsd-3-clause",
"hash": -2354020982847958500,
"line_mean": 39.3106546855,
"line_max": 112,
"alpha_frac": 0.538054901,
"autogenerated": false,
"ratio": 3.6492736780941315,
"conf... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
exec(open("ground.py").read())
#
import matplotlib.pyplot as plt
import skimage
from skimage import data
# mine
import hamiltonian
import diffeo
import sde
from utility import *
#
def run(dict,canload=0):
i... | {
"repo_name": "tonyshardlow/reg_sde",
"path": "run_hand.py",
"copies": "1",
"size": "2142",
"license": "mit",
"hash": 2205955652354660600,
"line_mean": 27.56,
"line_max": 76,
"alpha_frac": 0.5317460317,
"autogenerated": false,
"ratio": 3.3838862559241707,
"config_test": false,
"has_no_keyword... |
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