text stringlengths 4 1.02M | meta dict |
|---|---|
import tweepy
import json
import codecs
import sys
busqueda=""
class Twitter_tiempo_real:
#Constructor
def __init__(self,consumer_key,consumer_secret,access_token_key,access_token_secret):
self.consumer_key = consumer_key
self.consumer_secret =consumer_secret
self.access_token... | {
"content_hash": "207d93b8a415f260165fc49f4739a3b7",
"timestamp": "",
"source": "github",
"line_count": 127,
"max_line_length": 247,
"avg_line_length": 32.48031496062992,
"alnum_prop": 0.5204848484848484,
"repo_name": "Ernesttt/content_analysis",
"id": "2934c217c96595269d4cabf9e39fc6a4c9850bfc",
"s... |
import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import initializers
from chainer.links.connection import deconvolution_nd
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer.testin... | {
"content_hash": "fafe398e76f5ca367616a614e5493c7b",
"timestamp": "",
"source": "github",
"line_count": 131,
"max_line_length": 75,
"avg_line_length": 32.74809160305343,
"alnum_prop": 0.5885780885780886,
"repo_name": "aonotas/chainer",
"id": "12cf14d2381b5a0eafac46d5aa94f6db9ead221a",
"size": "4290... |
"""Logic to update a TensorFlow model graph with quantization operations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
from tensorflow.contrib.quantize.python import common
from tensorflow.contrib.quantize.python import graph_matcher
from te... | {
"content_hash": "711dac736f2294fba0b6f6fad69fca8c",
"timestamp": "",
"source": "github",
"line_count": 773,
"max_line_length": 80,
"avg_line_length": 38.10866752910737,
"alnum_prop": 0.6600923348496164,
"repo_name": "alshedivat/tensorflow",
"id": "92ca3f203954414159954f7f5d220f95b17967d0",
"size":... |
from django import forms
from django.forms import DateTimeField
from .models import Article
class ArticleForm(forms.ModelForm):
created_on = DateTimeField(widget=forms.widgets.DateTimeInput())
class Meta:
model = Article
fields = '__all__'
| {
"content_hash": "d54fd8cc7847804f6b55a86c396b26e8",
"timestamp": "",
"source": "github",
"line_count": 12,
"max_line_length": 68,
"avg_line_length": 22.333333333333332,
"alnum_prop": 0.7126865671641791,
"repo_name": "pfskiev/lisbon",
"id": "347c3c2aca72312a99e5366a20a1e97827170bc0",
"size": "268",... |
from __future__ import annotations
import enum
from collections.abc import Sequence
__all__ = ['AddressPart', 'MatchType', 'SizeComparator', 'str_list', 'unquote']
class AddressPart(enum.Enum):
LOCALPART = enum.auto()
DOMAIN = enum.auto()
ALL = enum.auto()
@classmethod
def of(cls, flag: str | N... | {
"content_hash": "c604fa26eb66699ec0bed47c0f55a29e",
"timestamp": "",
"source": "github",
"line_count": 72,
"max_line_length": 79,
"avg_line_length": 24.02777777777778,
"alnum_prop": 0.5531791907514451,
"repo_name": "icgood/pymap",
"id": "c69ef0d5e3001f75e8d5146b83c9ab176d9c894d",
"size": "1731",
... |
import pytest
import numpy as np
import nnabla as nn
import nnabla.functions as F
from nnabla.ext_utils import get_extension_context, list_extensions
from nnabla.utils.inspection import NanInfTracer
from .models import simple_cnn
def _refresh_inputs_grad(f):
for i in f.inputs:
i.grad.zero()
@pytest.m... | {
"content_hash": "09736c0fe752d164c75c088237f5e046",
"timestamp": "",
"source": "github",
"line_count": 86,
"max_line_length": 79,
"avg_line_length": 33.348837209302324,
"alnum_prop": 0.599721059972106,
"repo_name": "sony/nnabla",
"id": "78efc986dcdca3af71bcea957d699e88a0962a0b",
"size": "3455",
... |
from collections import namedtuple
from scipy.optimize import newton
Flow = namedtuple('Flow', ['period','positive', 'negative'])
def netflow(flow):
return sum(flow.positive) - sum(flow.negative)
def present_value(flow, rate):
return netflow(flow)/((1 + rate)**flow.period)
def net_present_value(rate,flows)... | {
"content_hash": "dfba89eecb1ac7ea6e4b4ed3b57ff2bc",
"timestamp": "",
"source": "github",
"line_count": 21,
"max_line_length": 79,
"avg_line_length": 28.523809523809526,
"alnum_prop": 0.6928213689482471,
"repo_name": "mitra-varuna/supply_chain_network",
"id": "af61ead81954543506217f8b494ee925f2a0c2e4... |
import os
import sys
import zipfile
try:
from urllib import urlretrieve
except ImportError:
from urllib.request import urlretrieve
BASEURL = 'http://www.citygml.org/fileadmin/count.php?f=fileadmin/citygml/docs/'
FILES = [
'geoRES_testdata_v1.0.0',
'waldbruecke_v1.0.0',
'CityGML_2.0_Test_Dataset_20... | {
"content_hash": "001e4e84ce251de972cb4a82f860b26f",
"timestamp": "",
"source": "github",
"line_count": 39,
"max_line_length": 120,
"avg_line_length": 31.897435897435898,
"alnum_prop": 0.6366559485530546,
"repo_name": "ctu-yfsg/2015-f-citygml",
"id": "4f594e021503f7d51b97d2acb7a2517f032960a2",
"siz... |
import mock
from nova.tests.virt.xenapi import stubs
from nova import utils
from nova.virt.xenapi.client import objects
class XenAPISessionObjectTestCase(stubs.XenAPITestBaseNoDB):
def setUp(self):
super(XenAPISessionObjectTestCase, self).setUp()
self.session = mock.Mock()
self.obj = obje... | {
"content_hash": "2bc476838c960396f6f0ca78798b0117",
"timestamp": "",
"source": "github",
"line_count": 103,
"max_line_length": 79,
"avg_line_length": 34.70873786407767,
"alnum_prop": 0.6187412587412587,
"repo_name": "afrolov1/nova",
"id": "a4e5d35804d1245a6d1103e2fadd7b9b1acdc3dd",
"size": "4212",... |
import os
import sys
from warnings import warn
from pathlib import Path
import shutil
import click
from .pypeit_make_1d_notebook import make_viz_notebook
inf = float('inf')
coadd1d_template = """
[coadd1d]
coaddfile = '{basename}.fits'
flux_value = False
ex_value = {ext_mode}
coadd1d read
{file_ext_pairs}... | {
"content_hash": "83900d649057a7c698886994e506bb3b",
"timestamp": "",
"source": "github",
"line_count": 109,
"max_line_length": 87,
"avg_line_length": 31.165137614678898,
"alnum_prop": 0.5825728584044746,
"repo_name": "eteq/erikutils",
"id": "b3d833da2b8c2b1d06488156504b7d932d16938e",
"size": "3397... |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'ContactMessage'
db.create_table(u'pages_contactmessage', (
(u'id', self.gf('django.db.models.fields.Auto... | {
"content_hash": "a0d69921b77ea3d1fceff4777d868340",
"timestamp": "",
"source": "github",
"line_count": 132,
"max_line_length": 187,
"avg_line_length": 78.27272727272727,
"alnum_prop": 0.5629113433991483,
"repo_name": "gannetson/sportschooldeopenlucht",
"id": "70201461593978be58f05dcd5b37d17411237798... |
"""
tests.__init__
~~~~~~~~~~~~~~
Tests initialization.
"""
import betamax
from homeassistant import util
from homeassistant.util import location
with betamax.Betamax.configure() as config:
config.cassette_library_dir = 'tests/cassettes'
# Automatically called during different setups. Too often forgotten
# so m... | {
"content_hash": "8a0767cce9936ab9926dc2972d5e9ab3",
"timestamp": "",
"source": "github",
"line_count": 32,
"max_line_length": 67,
"avg_line_length": 24.03125,
"alnum_prop": 0.6892067620286085,
"repo_name": "coteyr/home-assistant",
"id": "1f18116b24baf7b896b1647c509e82d76f4e40e0",
"size": "769",
... |
"""
Testing for the forest module (sklearn.ensemble.forest).
"""
# Authors: Gilles Louppe,
# Brian Holt,
# Andreas Mueller,
# Arnaud Joly
# License: BSD 3 clause
import pickle
from collections import defaultdict
from itertools import combinations
from itertools import product
import numpy ... | {
"content_hash": "bdb4c7c0f91cd065bc3de29fe3508edc",
"timestamp": "",
"source": "github",
"line_count": 1211,
"max_line_length": 86,
"avg_line_length": 35.49215524360033,
"alnum_prop": 0.6254158814359834,
"repo_name": "ldirer/scikit-learn",
"id": "b964ed768d85e2e1570e39c44f9e415d6b859457",
"size": ... |
import urllib2
import json
def google_search(search_term):
"""
Searches for a `search_term` which should be a string or a value convertable to string.
Parameters:
- str `search_term`: a string to search for
Returns a tuple (on success):
- first value is a list of search results for t... | {
"content_hash": "2612d6ca85e23d2af1c2717060bc465d",
"timestamp": "",
"source": "github",
"line_count": 41,
"max_line_length": 113,
"avg_line_length": 32.58536585365854,
"alnum_prop": 0.6714071856287425,
"repo_name": "Jacob-Gray/WelcomeBot",
"id": "803a02152a4486c669137f2b0c059f78176cf82e",
"size":... |
try:
from setuptools import setup, find_packages
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup, find_packages
from cloudplaya import VERSION
PACKAGE_NAME = 'cloudplaya'
setup(name=PACKAGE_NAME,
version=VERSION,
license='MIT',
... | {
"content_hash": "bbf803f5a2fec0a96a9ff9bfe3eade61",
"timestamp": "",
"source": "github",
"line_count": 41,
"max_line_length": 62,
"avg_line_length": 27.926829268292682,
"alnum_prop": 0.5912663755458515,
"repo_name": "chipx86/cloudplaya",
"id": "cc06aebd90c0dbdc32036d7745d684b021126680",
"size": "1... |
"""Stacking classifier and regressor."""
# Authors: Guillaume Lemaitre <g.lemaitre58@gmail.com>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
from copy import deepcopy
from numbers import Integral
import numpy as np
from joblib import Parallel
import scipy.sparse as sparse
from ..base import clone... | {
"content_hash": "17326241f4296f9b15e1c573c15f1e5f",
"timestamp": "",
"source": "github",
"line_count": 946,
"max_line_length": 88,
"avg_line_length": 38.07188160676533,
"alnum_prop": 0.6003442914260329,
"repo_name": "anntzer/scikit-learn",
"id": "2b43dd5c0a2e3889581f21ffeb3440545d977149",
"size": ... |
class Solution:
# @param head, a ListNode
# @return a ListNode
def deleteDuplicates(self, head):
if head is None:
return None
if head.next is None:
return head
result = ListNode(0)
p = head
q = result
flag = True
while p.next is... | {
"content_hash": "53ff5a624da7c92922bf6416ee2b24bf",
"timestamp": "",
"source": "github",
"line_count": 30,
"max_line_length": 44,
"avg_line_length": 25.5,
"alnum_prop": 0.40784313725490196,
"repo_name": "richard912611428iop/leetcode-py",
"id": "013597e0c12fad2073faa861717316cd390d3c27",
"size": "9... |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('events', '0007_auto_20160202_1001'),
]
operations = [
migrations.AlterField(
model_name='event',
name='prettyUrl',
... | {
"content_hash": "c05ed41e926911919f9f768a7f610c3c",
"timestamp": "",
"source": "github",
"line_count": 18,
"max_line_length": 187,
"avg_line_length": 28.666666666666668,
"alnum_prop": 0.6375968992248062,
"repo_name": "DesjardinsLab/event-kiosk",
"id": "c0cedb270b553cea09934aee7ca2e8ee9aac41d9",
"s... |
import logging
import os
import shutil
import tempfile
import time
import traceback
from collections import OrderedDict
# We don't have an explicit pathlib dependency because this code only works with
# the interactive target installed which has an indirect dependency on pathlib
# through ipython>=5.9.0.
from pathlib i... | {
"content_hash": "7a7ee95636e3659a7d11a74e1457d88c",
"timestamp": "",
"source": "github",
"line_count": 516,
"max_line_length": 85,
"avg_line_length": 36.77713178294574,
"alnum_prop": 0.6609580017916425,
"repo_name": "axbaretto/beam",
"id": "fc8a8aa4476895cee3feb755742e2e38cf24aedb",
"size": "19783... |
"""Commands for updating backend services.
There are separate alpha, beta, and GA command classes in this file.
"""
import copy
from googlecloudsdk.api_lib.compute import backend_services_utils
from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.calliope import base
from googlecloudsdk.cal... | {
"content_hash": "16b7f05b093196e6ebd83e24e2ca6516",
"timestamp": "",
"source": "github",
"line_count": 299,
"max_line_length": 79,
"avg_line_length": 34.22742474916388,
"alnum_prop": 0.6996286886847762,
"repo_name": "KaranToor/MA450",
"id": "79c9dd905d8d1d229eb47ac58ef6bfc73300a0dd",
"size": "1082... |
import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="family", parent_name="pie.title.font", **kwargs):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | {
"content_hash": "c8f405d20d417b530157e35836cd6b04",
"timestamp": "",
"source": "github",
"line_count": 14,
"max_line_length": 85,
"avg_line_length": 39.285714285714285,
"alnum_prop": 0.5963636363636363,
"repo_name": "plotly/plotly.py",
"id": "04cb80f5b4192fe12f6733afce317dc62a76cc9d",
"size": "550... |
import sys
import os
import hashlib
import py_compile
def flag_checker(candidate):
random = b"aes-128-ecb"
key = hashlib.sha512(random).digest()
correct = bytearray([242, 122, 104, 129, 95, 139, 6, 78, 89, 144, 165, 79, 212, 62, 71, 57, 211, 116, 128])
candidate = bytearray(bytes(candidate, "utf-8"))
for i i... | {
"content_hash": "d6c7ac878e7eeac7bb0ecd547b4d7854",
"timestamp": "",
"source": "github",
"line_count": 34,
"max_line_length": 109,
"avg_line_length": 25.147058823529413,
"alnum_prop": 0.6526315789473685,
"repo_name": "google/google-ctf",
"id": "045f51f1ee838bf002bc452db4d61d8afe5e09cc",
"size": "8... |
import math, string
import numpy as np
from prettytable import PrettyTable
import unsupervised.hungarian
# --------------------------------------------------------------
# Ranking Similarity
# --------------------------------------------------------------
class JaccardBinary:
"""
Simple binary Jaccard-based ranki... | {
"content_hash": "b7d95948446ea0cee7f8994f24f11661",
"timestamp": "",
"source": "github",
"line_count": 180,
"max_line_length": 98,
"avg_line_length": 27.5,
"alnum_prop": 0.6242424242424243,
"repo_name": "derekgreene/topic-stability",
"id": "bf19af68cd7a3602e403b5d7f7b4bbf9e747a0ae",
"size": "4950"... |
import six
import os
def print_arguments(args):
print('----------- Configuration Arguments -----------')
for arg, value in sorted(six.iteritems(vars(args))):
print('%s: %s' % (arg, value))
print('------------------------------------------------')
def mkdir(path):
if not os.path.isdir(path):... | {
"content_hash": "4b394c8d93f0dacc68aafba6bd60d58b",
"timestamp": "",
"source": "github",
"line_count": 25,
"max_line_length": 61,
"avg_line_length": 19.44,
"alnum_prop": 0.5185185185185185,
"repo_name": "kuke/models",
"id": "9da8571f2c47b6e87219b8c579ae3a7645f6afd5",
"size": "486",
"binary": fal... |
from django.db import models
from django.contrib.auth.models import User, Group
from django.utils.translation import ugettext_lazy as _
from django.core.validators import RegexValidator
from django.conf import settings
class Repository(models.Model):
"""
Git repository
"""
# basic info
name = mode... | {
"content_hash": "cd78c01d833faaa502e374bb540c271c",
"timestamp": "",
"source": "github",
"line_count": 85,
"max_line_length": 103,
"avg_line_length": 30.341176470588234,
"alnum_prop": 0.5994571539356339,
"repo_name": "gitmill/gitmill",
"id": "7cee1128a247caa3fe76fe914ef7542e1be27c51",
"size": "257... |
from caspy.lw import Lightweight as Base
from caspy import str
class Currency(Base):
_fields = 'cur_code', 'shortcut', 'symbol', 'long_name'
class Book(Base):
_fields = 'book_id', 'name', 'created_at'
def __str__(self):
return str(self.name)
class AccountType(Base):
_fields = 'account_typ... | {
"content_hash": "faa4e875560fc34ac0a50a79e9488421",
"timestamp": "",
"source": "github",
"line_count": 36,
"max_line_length": 65,
"avg_line_length": 24.555555555555557,
"alnum_prop": 0.5859728506787331,
"repo_name": "altaurog/django-caspy",
"id": "a0f4cabd34c233e28c85303637702395a915130b",
"size":... |
class Form(object):
'''
classdocs
'''
def __init__(self, action, method = 'GET'):
'''
Constructor
'''
self.fields = []
self.action = action
self.method = method
def add_select_field(self, Name, param, options, multiple = False, default = N... | {
"content_hash": "4ff99a4789887c8d0c24d03be2ecfadb",
"timestamp": "",
"source": "github",
"line_count": 68,
"max_line_length": 171,
"avg_line_length": 28.426470588235293,
"alnum_prop": 0.4469736161407139,
"repo_name": "ankeshanand/benchmark",
"id": "8f752f59ba7ba3bbf7e0fc2b397cc77453f40e5b",
"size"... |
"""Utilities for pre-processing classification data."""
from absl import logging
from official.nlp.xlnet import data_utils
SEG_ID_A = 0
SEG_ID_B = 1
class PaddingInputExample(object):
"""Fake example so the num input examples is a multiple of the batch size.
When running eval/predict on the TPU, we need to pad... | {
"content_hash": "a781843a283c34fdd649874e0ee1068f",
"timestamp": "",
"source": "github",
"line_count": 148,
"max_line_length": 80,
"avg_line_length": 32.486486486486484,
"alnum_prop": 0.6485024958402662,
"repo_name": "tombstone/models",
"id": "64363e322633f7ae43d6ffc65c99ee1beff36827",
"size": "54... |
"""Benchmarks for LossScaleOptimizer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
from tensorflow.python.distribute import distribution_strategy_context
from tensorflow.python.distribute import mirrored_strategy
from tensorflow.python.eag... | {
"content_hash": "af7741cd5da6fb2daba96ded1e29597f",
"timestamp": "",
"source": "github",
"line_count": 149,
"max_line_length": 85,
"avg_line_length": 40.738255033557046,
"alnum_prop": 0.6630971993410214,
"repo_name": "aldian/tensorflow",
"id": "4ebc360b973811ee1659a6c38254e3d58eab3e4a",
"size": "6... |
from .forms import BugReportForm
def bug_report_form(request):
return {
"bug_report_form": BugReportForm(
initial={"source_url": request.path, "source": "wheredoivote"}
)
}
| {
"content_hash": "8f35d997bce6749577e96ff6324d16a2",
"timestamp": "",
"source": "github",
"line_count": 9,
"max_line_length": 74,
"avg_line_length": 23.444444444444443,
"alnum_prop": 0.6066350710900474,
"repo_name": "DemocracyClub/UK-Polling-Stations",
"id": "3e67c99f6142a3505babb8d07a5c02391bc0eed9"... |
from __future__ import unicode_literals
import datetime
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.urlresolvers import reverse
from django.db import models
from django.db.models.signals import post_init, post_save
from django.utils.encoding import python_2_uni... | {
"content_hash": "77e8cb44656918cb65ed28380a634225",
"timestamp": "",
"source": "github",
"line_count": 356,
"max_line_length": 148,
"avg_line_length": 38.25561797752809,
"alnum_prop": 0.6313238857478523,
"repo_name": "pyohio/symposion",
"id": "1972b8758ee75c86975edb17037f910f20be51de",
"size": "13... |
from src.core.page import Page, ResourceLoader, iOSPage
from src.core.r import Resource
class MeFindFriendsSearch(Page, iOSPage):
followUserBtn = ResourceLoader(Resource.followUserBtn)
unfollowUserBtn = ResourceLoader(Resource.unfollowUserBtn)
searchUsersBtn = ResourceLoader(Resource.searchUsersBtn)
... | {
"content_hash": "de506238f52cccb25f8e3b4b869b8603",
"timestamp": "",
"source": "github",
"line_count": 41,
"max_line_length": 64,
"avg_line_length": 28.78048780487805,
"alnum_prop": 0.6779661016949152,
"repo_name": "azoft-dev-team/imagrium",
"id": "0ef26ccdb454479d02f303001bae5c27646429a0",
"size"... |
from cs231n.layers import *
from cs231n.fast_layers import *
def affine_relu_forward(x, w, b):
"""
Convenience layer that perorms an affine transform followed by a ReLU
Inputs:
- x: Input to the affine layer
- w, b: Weights for the affine layer
Returns a tuple of:
- out: Output from the ReLU
- cache... | {
"content_hash": "52670dbc2a5afd115cfa7d88190dd249",
"timestamp": "",
"source": "github",
"line_count": 90,
"max_line_length": 72,
"avg_line_length": 27.08888888888889,
"alnum_prop": 0.6833470057424118,
"repo_name": "5hubh4m/CS231n",
"id": "8baa9627ec5dc4632d80947cc6913799baca5d6b",
"size": "2438",... |
from unittest import skipIf
import os
from django.db import IntegrityError
from django.test import TransactionTestCase
from django_migration_testcase import MigrationTest
EXAMPLE_CORRUPTION = bool(os.environ.get('EXAMPLE_CORRUPTION', False))
class Test0002AwesomeModelUniqueName(MigrationTest):
app_name = 'testi... | {
"content_hash": "684771d79c8cc5d42956e6e85704e4a9",
"timestamp": "",
"source": "github",
"line_count": 33,
"max_line_length": 120,
"avg_line_length": 39.96969696969697,
"alnum_prop": 0.7376800606520091,
"repo_name": "jrobichaud/django-awesome-presentations",
"id": "a389d76695b3a22d4bd71438cca6904600... |
import mock
import pytest
import unittest
from addons.base.tests.models import (OAuthAddonNodeSettingsTestSuiteMixin,
OAuthAddonUserSettingTestSuiteMixin)
from addons.github.models import NodeSettings
from addons.github.tests import factories
from osf_tests.factories import Projec... | {
"content_hash": "e77aa49b862add7343b82e8b29eabade",
"timestamp": "",
"source": "github",
"line_count": 336,
"max_line_length": 100,
"avg_line_length": 37.68154761904762,
"alnum_prop": 0.6534239001658637,
"repo_name": "mluo613/osf.io",
"id": "54118a7d76be076401d129ce1e27250a9dbe31d5",
"size": "1268... |
"""
sdata.py
this file contains a class sdata which stores sparse data in a tree like
structure that mimics an n dimensional array.
"""
import cPickle
class sdata:
def __init__(self, shape=(1,)):
self.shape = shape
self._data = []
self._indice = []
def save(self, fname):
... | {
"content_hash": "1ed4e0ef19a5b2d7aba4eeec62c452af",
"timestamp": "",
"source": "github",
"line_count": 162,
"max_line_length": 75,
"avg_line_length": 30.401234567901234,
"alnum_prop": 0.44243654822335027,
"repo_name": "lsiemens/iprocess-projects",
"id": "a394e6ffeb0cf75fded63bb5383f8b3dd8069fec",
... |
import random
import sys
import gdb
# List of colors used for printing messages
RED = "\033[1;31m"
BLUE = "\033[1;34m"
CYAN = "\033[1;36m"
GREEN = "\033[0;32m"
RESET = "\033[0;0m"
BOLD = "\033[;1m"
REVERSE = "\033[;7m"
def error_output(massage):
"""Print out a red output"""
sys.stdout.write(BOLD + RED)
p... | {
"content_hash": "413d543c6692c5cd85d62de90c074583",
"timestamp": "",
"source": "github",
"line_count": 522,
"max_line_length": 114,
"avg_line_length": 37.93869731800766,
"alnum_prop": 0.5621086649161785,
"repo_name": "timtian090/Playground",
"id": "a5b30a23bfe817c27597103943955f5434f3a524",
"size"... |
import time
from json import dumps, loads
import warnings
from unittest import mock
from webtest import TestApp
from six import b as b_
from six import u as u_
import webob
from pecan import Pecan, expose, abort, Request, Response
from pecan.rest import RestController
from pecan.hooks import PecanHook, HookController... | {
"content_hash": "1ed6f442ea1dae7c89d6563f8f196371",
"timestamp": "",
"source": "github",
"line_count": 1448,
"max_line_length": 79,
"avg_line_length": 34.533149171270715,
"alnum_prop": 0.540976721862251,
"repo_name": "pecan/pecan",
"id": "3fbcd8877f0feb9c2fd5d4108b4859b17f4551fb",
"size": "50004",... |
from postgresapi import models, managers
from . import _base
class CreateTestCase(_base.TestCase):
def setUp(self):
super(CreateTestCase, self).setUp()
self._drop_test_db()
def tearDown(self):
super(CreateTestCase, self).tearDown()
self._drop_test_db()
def test_success(s... | {
"content_hash": "52f3de113a44bde4fcee1ca2a784484c",
"timestamp": "",
"source": "github",
"line_count": 46,
"max_line_length": 73,
"avg_line_length": 36.08695652173913,
"alnum_prop": 0.5662650602409639,
"repo_name": "RichardKnop/postgres-api",
"id": "ea9aa8a90513465a803f75d5290b9c41d7e6e156",
"size... |
import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="showticklabels",
parent_name="sunburst.marker.colorbar",
**kwargs
):
super(ShowticklabelsValidator, self).__init__(
... | {
"content_hash": "5388b2ee4b9015440a5e625ab7302a60",
"timestamp": "",
"source": "github",
"line_count": 17,
"max_line_length": 77,
"avg_line_length": 30.823529411764707,
"alnum_prop": 0.5935114503816794,
"repo_name": "plotly/python-api",
"id": "13f7f5dff1723f212e54432b50ccbcc70fb88207",
"size": "52... |
'''
Created on 2013-12-22
@author: Wei
'''
import utils.serialize
from utils.rst_lib import *
class CRFTreeFeatureWriter:
def __init__(self, verbose):
self.features = set()
self.verbose = verbose
self.cue_phrases = utils.serialize.loadData('cue_phrases')
... | {
"content_hash": "52d1decffc1addefd8f67f51f3f556fa",
"timestamp": "",
"source": "github",
"line_count": 346,
"max_line_length": 134,
"avg_line_length": 44.7514450867052,
"alnum_prop": 0.5044562128648928,
"repo_name": "habernal/feng-hirst-rst-parser-acl-2014",
"id": "395fa288ce5b082b62ba2e5ea70ee65bef... |
from nova.notifications.objects import base
from nova.objects import base as nova_base
from nova.objects import fields
@nova_base.NovaObjectRegistry.register_notification
class KeypairPayload(base.NotificationPayloadBase):
SCHEMA = {
'user_id': ('keypair', 'user_id'),
'name': ('keypair', 'name'),
... | {
"content_hash": "d8347c3017f9ae6228eaa42edb5a6881",
"timestamp": "",
"source": "github",
"line_count": 39,
"max_line_length": 57,
"avg_line_length": 33.35897435897436,
"alnum_prop": 0.6617986164488855,
"repo_name": "jianghuaw/nova",
"id": "44df1a0732b268e4e77426042a70fe570263db2f",
"size": "1874",... |
import uuid
import copy
import sys
import os
import random
from collections import defaultdict
import prettytable
from output import (LargeItem,
IngredientBase,
Liquid,
return_instance,
is_ingredient_in_list)
from pie_logger import get_lo... | {
"content_hash": "974bef65ec519d8bff81a327899c8b0c",
"timestamp": "",
"source": "github",
"line_count": 383,
"max_line_length": 89,
"avg_line_length": 31.83812010443864,
"alnum_prop": 0.5743808430375594,
"repo_name": "brianray/chipy_phaser_flask",
"id": "91f236764614c660d4fa595cbd6a7a032d6ccf03",
"... |
import sys
from django.utils.six.moves import input
from kolibri.core.auth.models import AdHocGroup
from kolibri.core.auth.models import FacilityDataset
from kolibri.core.auth.models import FacilityUser
from kolibri.core.auth.models import Membership
from kolibri.core.logger.models import AttemptLog
from kolibri.core... | {
"content_hash": "929194d3becb93d2ca69c4cccce78f5d",
"timestamp": "",
"source": "github",
"line_count": 114,
"max_line_length": 102,
"avg_line_length": 37.8859649122807,
"alnum_prop": 0.6253762445010419,
"repo_name": "indirectlylit/kolibri",
"id": "594037c533329e3f68ec137593f17039b24dd4d3",
"size":... |
"""
(c) RIKEN 2015. All rights reserved.
Author: Keitaro Yamashita
This software is released under the new BSD License; see LICENSE.
"""
from __future__ import print_function
from __future__ import unicode_literals
import sys
from cctbx.array_family import flex
from cctbx import miller
from yamtbx.dataproc.xds.xds_... | {
"content_hash": "b97e40aac77c39d9da14e41d0282491a",
"timestamp": "",
"source": "github",
"line_count": 45,
"max_line_length": 89,
"avg_line_length": 30.244444444444444,
"alnum_prop": 0.5635562086700955,
"repo_name": "keitaroyam/yamtbx",
"id": "de9bdef6e5072ef12e269d7e87c127e9b9a498a4",
"size": "13... |
import mock
from oslo.config import cfg
from webob import exc
from neutron.common import constants
from neutron.db import api as db_api
from neutron.db import external_net_db
from neutron.db import l3_db
from neutron.db import l3_gwmode_db
from neutron.db import models_v2
from neutron.extensions import l3
from neutron... | {
"content_hash": "81abdb8521115389507e51a1f80b4979",
"timestamp": "",
"source": "github",
"line_count": 404,
"max_line_length": 77,
"avg_line_length": 42.57920792079208,
"alnum_prop": 0.5835367980467387,
"repo_name": "Comcast/neutron",
"id": "ac2fd5171e0d2cec743bbcc46fe93018602bf5e0",
"size": "1793... |
import logging
try:
import torch
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
except ImportError:
# No installation required if not using this function
pass
from nlpaug.model.lang_models import LanguageModels
import nlpaug.util.text.tokenizer as text_tokenizer
class Bart(LanguageMo... | {
"content_hash": "bc7bc43fac067a0d4e4593778595a245",
"timestamp": "",
"source": "github",
"line_count": 102,
"max_line_length": 127,
"avg_line_length": 38.03921568627451,
"alnum_prop": 0.6376288659793814,
"repo_name": "makcedward/nlpaug",
"id": "05d2e0e9ccc7ae082790ca56b9a93c33321c373a",
"size": "3... |
import commands
def test(data_path):
# parameters
folder_data = ['dmri/']
file_data = ['bvecs.txt']
# define command
cmd = 'sct_dmri_transpose_bvecs -i ' + data_path + folder_data[0] + file_data[0]
# return
return commands.getstatusoutput(cmd)
if __name__ == "__main__":
# call mai... | {
"content_hash": "d8c0b9931510fdb14ec6af0215161701",
"timestamp": "",
"source": "github",
"line_count": 19,
"max_line_length": 84,
"avg_line_length": 17.94736842105263,
"alnum_prop": 0.5953079178885631,
"repo_name": "3324fr/spinalcordtoolbox",
"id": "e7e66a7d4e4689b53f9081ca3e0fff5b2f80c62a",
"size... |
import json
import re
import click
import jsonschema
import utils
@click.command()
@click.argument("schema", type=click.File("r"), required=True)
@click.argument("jsonfiles", type=click.Path(exists=True), required=True)
def validate_path(schema, jsonfiles):
schema = json.loads(schema.read())
for path in ut... | {
"content_hash": "a39bb6e340ffa3ca2a09f4561f337bee",
"timestamp": "",
"source": "github",
"line_count": 25,
"max_line_length": 86,
"avg_line_length": 25,
"alnum_prop": 0.6672,
"repo_name": "OpenBounds/Processing",
"id": "b8b5df26064903cb6c7020e2781daea3bd2791bb",
"size": "648",
"binary": false,
... |
"""
Most of the jokes are from https://viccfaktor.hu/cimke/programozo-viccek/, and https://gremmedia.hu/programozo-viccek
//
A viccek nagy része a https://viccfaktor.hu/cimke/programozo-viccek/ weboldalról és a https://gremmedia.hu/programozo-viccek weboldalról származik
"""
neutral = [
"- Miért keveri a programoz... | {
"content_hash": "c4d8080a497c30571b5ee261dbe2ddd4",
"timestamp": "",
"source": "github",
"line_count": 26,
"max_line_length": 146,
"avg_line_length": 49.07692307692308,
"alnum_prop": 0.6841692789968652,
"repo_name": "pyjokes/pyjokes",
"id": "ce9de8a063551e97f1ec3b2c37a587a56420937c",
"size": "1355... |
import StringIO
import json
import logging
import random
import urllib
import urllib2
import multipart
# стандартные модули для Google Engine
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
import webapp2
# Две следующие строчки необходимы для иморта сторонних библиотек из папки libs
#... | {
"content_hash": "278179d254e7f10909a81ded209b2576",
"timestamp": "",
"source": "github",
"line_count": 186,
"max_line_length": 152,
"avg_line_length": 30.50537634408602,
"alnum_prop": 0.5188579485371871,
"repo_name": "subpath/TelegramBot",
"id": "a4450b423dd0b4a9b7eff2f3efc67df36cfedf37",
"size": ... |
from django.db import migrations
def add_choose_permission_to_admin_groups(apps, _schema_editor):
ContentType = apps.get_model('contenttypes.ContentType')
Permission = apps.get_model('auth.Permission')
Group = apps.get_model('auth.Group')
# Get document content type
document_content_type, _create... | {
"content_hash": "7e2d44315721f687e838244726fcee54",
"timestamp": "",
"source": "github",
"line_count": 95,
"max_line_length": 146,
"avg_line_length": 37.1578947368421,
"alnum_prop": 0.6940509915014165,
"repo_name": "torchbox/wagtail",
"id": "1c902a6d4c2108210c2dffbae1dfefe606d6d352",
"size": "3579... |
from __future__ import unicode_literals
import datetime
import re
from decimal import Decimal
from django.core.exceptions import FieldError
from django.db import connection
from django.db.models import (
F, Aggregate, Avg, Count, DecimalField, DurationField, FloatField, Func,
IntegerField, Max, Min, Sum, Valu... | {
"content_hash": "74e72d23c2f38d45e51e9e21d0251b0b",
"timestamp": "",
"source": "github",
"line_count": 1089,
"max_line_length": 155,
"avg_line_length": 39.637281910009186,
"alnum_prop": 0.5392100081084211,
"repo_name": "adelton/django",
"id": "5b0bcb82bc015abdb970ed554e2fef834b5589c2",
"size": "43... |
"""
This file is part of the TheLMA (THe Laboratory Management Application) project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Target table.
"""
from sqlalchemy import Column
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from sqlalchemy import Table
__docformat__... | {
"content_hash": "1fc665cea0d7d978c01a7834fa9c7241",
"timestamp": "",
"source": "github",
"line_count": 27,
"max_line_length": 80,
"avg_line_length": 32.148148148148145,
"alnum_prop": 0.6693548387096774,
"repo_name": "helixyte/TheLMA",
"id": "c21e56dfe6f9f876b42d6da2123e6a18e7e5cd8a",
"size": "868"... |
import os
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/user/account
# To set up environmental variables, see http://twil.io/secure
account_sid = os.environ['TWILIO_ACCOUNT_SID']
auth_token = os.environ['TWILIO_AUTH_TOKEN']
client = Client(account_sid, auth_token)
document = client.... | {
"content_hash": "b9ca20ededc9b887fc5971bc0bcb8cc9",
"timestamp": "",
"source": "github",
"line_count": 15,
"max_line_length": 62,
"avg_line_length": 30.133333333333333,
"alnum_prop": 0.745575221238938,
"repo_name": "TwilioDevEd/api-snippets",
"id": "75335ec6a8f3982cf82c3ee01a46f6b8bdaef519",
"size... |
import pytest
def raising_checker(value, system):
from snovault.auditor import AuditFailure
if not value.get('checker1'):
raise AuditFailure('testchecker', 'Missing checker1')
def returning_checker(value, system):
from snovault.auditor import AuditFailure
if not value.get('checker1'):
... | {
"content_hash": "8a63da2102aedd56b4d070c1f7ec08f9",
"timestamp": "",
"source": "github",
"line_count": 130,
"max_line_length": 93,
"avg_line_length": 34.55384615384615,
"alnum_prop": 0.6705253784505788,
"repo_name": "T2DREAM/t2dream-portal",
"id": "62a103caaa7a82c6ece2342236d65fbb0417948e",
"size"... |
"""This is generic driver class implementation."""
from functools import partial
import re
import logging
import pexpect
from condoor.actions import a_send, a_connection_closed, a_stays_connected, a_unexpected_prompt, a_expected_prompt
from condoor.fsm import FSM
from condoor.exceptions import ConnectionError, Comman... | {
"content_hash": "32badd7bf8dc916030c4a5ebfc037760",
"timestamp": "",
"source": "github",
"line_count": 330,
"max_line_length": 115,
"avg_line_length": 40.43333333333333,
"alnum_prop": 0.5952934122760998,
"repo_name": "kstaniek/condoor-ng",
"id": "c11e3b2585177aa4a58e37972f0390fe3f9ea886",
"size": ... |
"""oAuth2 functions and classes for Geocaching API integration."""
from __future__ import annotations
from typing import Any
from homeassistant.components.application_credentials import (
AuthImplementation,
AuthorizationServer,
ClientCredential,
)
from homeassistant.core import HomeAssistant
from .const... | {
"content_hash": "ca83470d630b6993b2c5dee7a8b12567",
"timestamp": "",
"source": "github",
"line_count": 66,
"max_line_length": 97,
"avg_line_length": 35.22727272727273,
"alnum_prop": 0.6163440860215054,
"repo_name": "w1ll1am23/home-assistant",
"id": "848c4fce66cd8000b80e7024a120441003404254",
"size... |
"""Use the HTMLParser library to parse HTML files that aren't too bad."""
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
__all__ = [
'HTMLParserTreeBuilder',
]
from html.parser import HTMLParser
try:
from html.parser import HTMLParseError
except Imp... | {
"content_hash": "5d38bd03feb5c51230fb613e03a7d9f3",
"timestamp": "",
"source": "github",
"line_count": 314,
"max_line_length": 318,
"avg_line_length": 36.97133757961783,
"alnum_prop": 0.584460332500646,
"repo_name": "williamfeng323/py-web",
"id": "907d355b65926f31254c53eb7ebc2a28042f436b",
"size":... |
import os
import sys
from xml.dom import minidom
from termcolor import colored
def find_root_maven_dir_from_current_dir():
cwd = os.getcwd()
dirs = cwd.split('/')
highest_dir_with_pom = None
if 'pom.xml' in os.listdir(cwd):
highest_dir_with_pom = cwd
#print 'ABOUT TO LOOP'
for i i... | {
"content_hash": "7c67f5afc6d4af32993fbe9b4082e920",
"timestamp": "",
"source": "github",
"line_count": 63,
"max_line_length": 81,
"avg_line_length": 28.142857142857142,
"alnum_prop": 0.6153412295544275,
"repo_name": "digitaldarwin/jiver",
"id": "9e98c1f8ddf038d85274c2035b565569e14bef80",
"size": "... |
class Tile:
def __init__(self, unk1Instance):
self.unk1Instance = unk1Instance
def Draw(self, camera):
[translation, zoom] = camera.GetTransform()
| {
"content_hash": "ef23d5cde76a5f0bf82653c489eb5eaa",
"timestamp": "",
"source": "github",
"line_count": 7,
"max_line_length": 51,
"avg_line_length": 24.714285714285715,
"alnum_prop": 0.6358381502890174,
"repo_name": "simply-jos/birth-of-the-toolkit",
"id": "0407d1c5dd0cac1545715b36e9c321f40c669c03",
... |
import unittest
from unittest.mock import Mock, patch
from airflow import models
from airflow.configuration import load_test_config
from airflow.models.xcom import MAX_XCOM_SIZE
from airflow.operators.google_api_to_s3_transfer import GoogleApiToS3Transfer
from airflow.utils import db
class TestGoogleApiToS3Transfer(... | {
"content_hash": "4806f0a206e986ca2d67a72d04fa9452",
"timestamp": "",
"source": "github",
"line_count": 150,
"max_line_length": 109,
"avg_line_length": 43.79333333333334,
"alnum_prop": 0.6227736337342061,
"repo_name": "Fokko/incubator-airflow",
"id": "b942a2223ca543ffd71fc51b716d87db5624613d",
"siz... |
from anki.template.template import Template
from anki.template.view import View
def render(template, context=None, **kwargs):
context = context and context.copy() or {}
context.update(kwargs)
return Template(template, context).render()
| {
"content_hash": "173ad696c645f5c5d324a955bd7fd3d9",
"timestamp": "",
"source": "github",
"line_count": 7,
"max_line_length": 47,
"avg_line_length": 35.57142857142857,
"alnum_prop": 0.7469879518072289,
"repo_name": "jlitven/vexer",
"id": "955518123d9e1c05238fb90da73c8df320da379d",
"size": "249",
... |
import os
import re
import fnmatch
import glob
import time
import logging
import mimetypes
import subprocess
import textwrap
import uuid
from io import StringIO
from pathlib import Path
from datetime import date
import warnings
import jinja2
from ruamel.yaml import YAML
try:
import github3
_have_github3 = Tru... | {
"content_hash": "ff30ae5228e2bb8e742e983e3687483b",
"timestamp": "",
"source": "github",
"line_count": 1343,
"max_line_length": 79,
"avg_line_length": 36.63440059568131,
"alnum_prop": 0.5610772357723577,
"repo_name": "apache/arrow",
"id": "d5ce6143136ae7b27add254edf96348723aade50",
"size": "49986"... |
class TileCacheException(Exception): pass
import sys, cgi, time, os, traceback, email, ConfigParser
import Cache, Caches
import Layer, Layers
# Windows doesn't always do the 'working directory' check correctly.
cfgfiles = ("/etc/tilecache.cfg", os.path.join("..", "tilecache.cfg"), "tilecache.cfg")
class Capabilities... | {
"content_hash": "f8e538388d00a350f7e544762e5c06ce",
"timestamp": "",
"source": "github",
"line_count": 482,
"max_line_length": 166,
"avg_line_length": 40.91078838174274,
"alnum_prop": 0.5668644454586946,
"repo_name": "pcucurullo/groot",
"id": "37958285e604a371558d649b1275060e1e989925",
"size": "19... |
import copy
from pony.orm import *
from pony import orm
from typing import Optional
from horsefax.telegram.services.command import Command
from ..core import HorseFaxBot, ModuleTools, BaseModule
from ..db import db
class Alias(db.Entity):
id = PrimaryKey(int, auto=True)
alias = Required(str, unique=True)
... | {
"content_hash": "5bcb47db23991fd94fe43c3a4c7a7fce",
"timestamp": "",
"source": "github",
"line_count": 67,
"max_line_length": 111,
"avg_line_length": 36.8955223880597,
"alnum_prop": 0.6302588996763754,
"repo_name": "TallonRain/horsefaxbot",
"id": "85898a5ca3d9176f41d5961ea1d15cc814119e91",
"size":... |
"""
Van der Grinten
===============
The Van der Grinten projection, presented by Alphons J. van der Grinten in 1904, is
neither equal-area nor conformal. Central meridian and Equator are straight lines;
other meridians are arcs of circles. The scale is true along the Equator only. Its
main use is to show the entire wo... | {
"content_hash": "0ed356c86ab11b1a1b72c2e929811e29",
"timestamp": "",
"source": "github",
"line_count": 20,
"max_line_length": 84,
"avg_line_length": 37.35,
"alnum_prop": 0.6934404283801874,
"repo_name": "GenericMappingTools/gmt-python",
"id": "a297b950c396524e6e23fd78c4a8574c2ae32ff9",
"size": "74... |
import os
import logging
help = 'Import mcu to pgen. Provide a valid project file, pgen will parse to create mcu definition'
from ..tools_supported import ToolsSupported
from ..targets import mcu_create
def run(args):
root = os.getcwd()
tool = ToolsSupported().get_tool(args.tool)
if tool is None:
... | {
"content_hash": "25012a7773647f14ca096cf2db6cacb9",
"timestamp": "",
"source": "github",
"line_count": 24,
"max_line_length": 113,
"avg_line_length": 35,
"alnum_prop": 0.6738095238095239,
"repo_name": "molejar/project_generator",
"id": "4ed07cc55410520b2220a220c3d9e0b8eccc80a3",
"size": "1412",
... |
from django.contrib.auth import get_user_model
from decimal import Decimal
from questions.models import UserAnswer, Question
from django.db.models import Q
# User = get_user_model()
# users = User.objects.all() #[user1 ,user2]
# all_user_answers = UserAnswer.objects.all().order_by("user_id")
def get_match(user_a, ... | {
"content_hash": "c1170e1864a2acd1471f94a99ef91e09",
"timestamp": "",
"source": "github",
"line_count": 57,
"max_line_length": 106,
"avg_line_length": 34.24561403508772,
"alnum_prop": 0.5932377049180327,
"repo_name": "hungtt57/matchmaker",
"id": "86a061e6cc8c69443826ef8772e917892a5662aa",
"size": "... |
"""
Django settings for django_email_or_username project.
Generated by 'django-admin startproject' using Django 1.8.4.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
... | {
"content_hash": "2bf2d07d06d740cd77b5f3428f4e7c5b",
"timestamp": "",
"source": "github",
"line_count": 107,
"max_line_length": 77,
"avg_line_length": 26.72897196261682,
"alnum_prop": 0.6926573426573427,
"repo_name": "ScottyMJacobson/django-email-or-username",
"id": "6c8e433cc5ae7d68b144737d919628b42... |
import unittest
import utils
from testbin import TestBin
class TestBinCostart(TestBin, unittest.TestCase):
def setUp(self):
self.bin = 'co-start'
self.do_not_test_running = True
def tearDown(self):
pass
| {
"content_hash": "77e150eaebdb655ef2586ded51b78133",
"timestamp": "",
"source": "github",
"line_count": 12,
"max_line_length": 49,
"avg_line_length": 19.833333333333332,
"alnum_prop": 0.6722689075630253,
"repo_name": "compatibleone/accords-platform",
"id": "ae0ab07199d14261e32c8d2828419b361c51c294",
... |
import graphene
from graphene_django import DjangoObjectType
from share import models
from share.graphql.base import AbstractShareObject
def Agent():
from share.graphql.agent import AbstractAgent
return AbstractAgent
def CreativeWork():
from share.graphql.work import AbstractCreativeWork
return Ab... | {
"content_hash": "06df996d361f74fe1ace6ebae7bccaa2",
"timestamp": "",
"source": "github",
"line_count": 59,
"max_line_length": 171,
"avg_line_length": 27.440677966101696,
"alnum_prop": 0.7195799876466955,
"repo_name": "laurenbarker/SHARE",
"id": "6653168ec3c82d54e7c45fe685492b7115f064e1",
"size": "... |
""" Manage mentions and their attributes. """
from cort.core import mention_property_computer
from cort.core import spans
__author__ = 'smartschat'
class Mention:
""" A mention is an expression in a document which is potentially referring.
Attributes:
document (CoNLLDocument): The document the men... | {
"content_hash": "74b9c56dbb65020be8ed73095137bdb9",
"timestamp": "",
"source": "github",
"line_count": 366,
"max_line_length": 80,
"avg_line_length": 36.90710382513661,
"alnum_prop": 0.5542641397690258,
"repo_name": "smartschat/cort",
"id": "0ca80f734725b357a6e35cb8e0c067dc718bc118",
"size": "1350... |
import sys
from webtest import TestApp
from minimal2.application import make_wsgi
class TestAltStack(object):
@classmethod
def setup_class(cls):
try:
del sys.modules['minimal2.views']
del sys.modules['minimal2.components.news.views']
del sys.modules['newscomp4.vi... | {
"content_hash": "0f0a5eb95865662aa6affd618911bd17",
"timestamp": "",
"source": "github",
"line_count": 66,
"max_line_length": 65,
"avg_line_length": 25.015151515151516,
"alnum_prop": 0.5923682616596002,
"repo_name": "level12/blazeweb",
"id": "97dd40a56eba4a6b811931c03eebe716bd8d6156",
"size": "165... |
"""
Onshape REST API
The Onshape REST API consumed by all clients. # noqa: E501
The version of the OpenAPI document: 1.113
Contact: api-support@onshape.zendesk.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
import sys # noqa:... | {
"content_hash": "9c3d2c00c978ae5a1bfeb27ce4b2ce21",
"timestamp": "",
"source": "github",
"line_count": 165,
"max_line_length": 123,
"avg_line_length": 34.63636363636363,
"alnum_prop": 0.5879265091863517,
"repo_name": "onshape-public/onshape-clients",
"id": "a0044d4d2040f52672103940d819406f072553f5",... |
r"""Mako template to Hjson register description
"""
import sys
import argparse
from io import StringIO
from mako.template import Template
def main():
parser = argparse.ArgumentParser(prog="reg_timer")
parser.add_argument(
'input',
nargs='?',
metavar='file',
type=argparse.FileT... | {
"content_hash": "f53f707e66d4fc142411caf36189d79e",
"timestamp": "",
"source": "github",
"line_count": 43,
"max_line_length": 74,
"avg_line_length": 23.186046511627907,
"alnum_prop": 0.6028084252758275,
"repo_name": "chipsalliance/Surelog",
"id": "420906058fe00846ad671ec0faf94a345313f46a",
"size":... |
import itk
import re
import sys
from itk.support.template_class import itkTemplate
from optparse import OptionParser
ctypes = [
"double",
"float",
"signed_char",
"signed_short",
"signed_long",
"unsigned_char",
"unsigned_short",
"unsigned_long",
"char",
"short",
"long",
... | {
"content_hash": "f87f7b73024f124dcd84c43d2207e000",
"timestamp": "",
"source": "github",
"line_count": 248,
"max_line_length": 85,
"avg_line_length": 26.842741935483872,
"alnum_prop": 0.6062791047018177,
"repo_name": "vfonov/ITK",
"id": "9a02b64238b6c42ab0e224b1e4da4fe9ca2b2c89",
"size": "7412",
... |
import time
from ginga import trcalc
from ginga.misc.Bunch import Bunch
from .CanvasMixin import CanvasMixin
__all__ = ['DrawingMixin']
class DrawingMixin(object):
"""The DrawingMixin is a mixin class that adds drawing capability for
some of the basic CanvasObject-derived types. The set_surface method is
... | {
"content_hash": "5c1259660a189545452ca916dfb7973e",
"timestamp": "",
"source": "github",
"line_count": 735,
"max_line_length": 85,
"avg_line_length": 35.477551020408164,
"alnum_prop": 0.5256557754256788,
"repo_name": "pllim/ginga",
"id": "678ab4f1240aa6d1ff7230b129f7177b3be04377",
"size": "26240",... |
from flask import request, abort, jsonify, Flask
from werkzeug.contrib.cache import SimpleCache, RedisCache
from datetime import datetime
import pytz
import cPickle
import eetlijst
import calendar
import functools
# App definition
app = Flask(__name__)
app.debug = True
# Use simple cache for cli-mode. For WSGI mod... | {
"content_hash": "5d8cf3b4e67a21edad597b008a2b07d9",
"timestamp": "",
"source": "github",
"line_count": 148,
"max_line_length": 80,
"avg_line_length": 25.945945945945947,
"alnum_prop": 0.60546875,
"repo_name": "basilfx/Happening-eetlijst",
"id": "68c465377d35531e9e16d6581c54995311f17a29",
"size": "... |
"""
wakatime.base
~~~~~~~~~~~~~
wakatime module entry point.
:copyright: (c) 2013 Alan Hamlett.
:license: BSD, see LICENSE for more details.
"""
from __future__ import print_function
import base64
import logging
import os
import platform
import re
import sys
import time
import traceback
import s... | {
"content_hash": "1e59769a1fd3fb7670cbbeee23bf2eaf",
"timestamp": "",
"source": "github",
"line_count": 495,
"max_line_length": 106,
"avg_line_length": 36.448484848484846,
"alnum_prop": 0.5692273583859883,
"repo_name": "gandarez/wakatime",
"id": "b8d925c458edd5836942b367c17abe13c3828764",
"size": "... |
""" Permissions for profiles """
from rest_framework import permissions
from open_discussions.permissions import is_staff_user
def is_owner_or_privileged_user(obj_user, request):
"""Returns True if the given user matches the requesting user, or the given user is superuser/staff"""
return (
obj_user =... | {
"content_hash": "98ba1196a3e6c49633879e56b3eb1a7d",
"timestamp": "",
"source": "github",
"line_count": 41,
"max_line_length": 106,
"avg_line_length": 31.78048780487805,
"alnum_prop": 0.6884113584036838,
"repo_name": "mitodl/open-discussions",
"id": "1895b6dc15484ea2f77357487c25d1f6cc1cec45",
"size... |
import collections
import numpy as np
import util
import tensorflow as tf
def _tf_int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))
def _tf_float_feature(value):
"""Returns a float_list from a float / double."""
return tf.train.Feature(float_list=tf.train.FloatList(va... | {
"content_hash": "6f3d46b7dbdde90914ae99cd34dd2eb5",
"timestamp": "",
"source": "github",
"line_count": 136,
"max_line_length": 136,
"avg_line_length": 45.10294117647059,
"alnum_prop": 0.573850668405608,
"repo_name": "dselsam/neurocore-public",
"id": "870e5adf0381c33d2ad8f551f67992b735f7506b",
"siz... |
"""Multi-credential file store with lock support.
This module implements a JSON credential store where multiple
credentials can be stored in one file. That file supports locking
both in a single process and across processes.
The credential themselves are keyed off of:
* client_id
* user_agent
* scope
The format of ... | {
"content_hash": "3d561c0caef865372aaa454160a5c862",
"timestamp": "",
"source": "github",
"line_count": 365,
"max_line_length": 86,
"avg_line_length": 29.671232876712327,
"alnum_prop": 0.6478301015697138,
"repo_name": "aadityabhatia/testzone2011-ScatterGraph",
"id": "cf43dd9bc860e65afde76c8282ea912a8... |
import copy
import logging
import os
import re
import reportlab
from reportlab.lib.enums import TA_LEFT
from reportlab.lib.fonts import addMapping
from reportlab.lib.pagesizes import landscape, A4
from reportlab.lib.styles import ParagraphStyle
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts im... | {
"content_hash": "cad34b35e178bd63313d956968174681",
"timestamp": "",
"source": "github",
"line_count": 932,
"max_line_length": 121,
"avg_line_length": 36.26609442060086,
"alnum_prop": 0.5387869822485207,
"repo_name": "orbitvu/xhtml2pdf",
"id": "b8e6a56e608423d3e0dcf0daeb289240026fcb39",
"size": "3... |
"""This code example gets all image creatives. The statement retrieves up to the
maximum page size limit of 500. To create an image creative,
run create_creatives.py."""
__author__ = 'api.shamjeff@gmail.com (Jeff Sham)'
# Locate the client library. If module was installed via "setup.py" script, then
# the following t... | {
"content_hash": "b2fa07b9220b42a25a480130b9c4f732",
"timestamp": "",
"source": "github",
"line_count": 46,
"max_line_length": 80,
"avg_line_length": 31.58695652173913,
"alnum_prop": 0.6799724707501721,
"repo_name": "lociii/googleads-python-lib",
"id": "f9aa040c70e85df33de8113be5ae3d78207b4970",
"s... |
import time
from cumulusci.robotframework.pageobjects import BasePage
from cumulusci.robotframework.pageobjects import pageobject
from BaseObjects import BaseNPSPPage
from cumulusci.robotframework.utils import capture_screenshot_on_error
from selenium.webdriver.common.keys import Keys
from NPSP import npsp_lex_locators... | {
"content_hash": "ad7471d320e03d022001d9af39bc31be",
"timestamp": "",
"source": "github",
"line_count": 87,
"max_line_length": 125,
"avg_line_length": 43.2183908045977,
"alnum_prop": 0.6734042553191489,
"repo_name": "SalesforceFoundation/Cumulus",
"id": "aa5a0eaf79593974d4b2afb095af242e2fd6bbfc",
"... |
import pytest
@pytest.mark.xfail
def test_delete_bookmark():
raise NotImplementedError
| {
"content_hash": "0371026e2b5d4d18ad6ce0a19eb01ec3",
"timestamp": "",
"source": "github",
"line_count": 6,
"max_line_length": 29,
"avg_line_length": 15.5,
"alnum_prop": 0.7741935483870968,
"repo_name": "globus/globus-sdk-python",
"id": "2a01c948a13a2c756327c8d6098314788df7229a",
"size": "93",
"bi... |
from SCons.Script import *
import os
import re
import string
import datetime
# -----------------------------------------------------------------------------
class FunctionScanner:
# FIXME correct handling of strings and comments
commentFilter = re.compile(r"/\*.*?\*/", re.DOTALL)
# find any function 'void test*(... | {
"content_hash": "1f0bfc1e8916a835ce12a7f3d708bad9",
"timestamp": "",
"source": "github",
"line_count": 149,
"max_line_length": 97,
"avg_line_length": 26.08053691275168,
"alnum_prop": 0.5998455995882656,
"repo_name": "jrahlf/3D-Non-Contact-Laser-Profilometer",
"id": "3e6047a4561a5fdcc3600f90e21c4b3b3... |
"""Accesses the google.logging.v2 LoggingServiceV2 API."""
import functools
import pkg_resources
import warnings
from google.oauth2 import service_account
import google.api_core.gapic_v1.client_info
import google.api_core.gapic_v1.config
import google.api_core.gapic_v1.method
import google.api_core.grpc_helpers
impor... | {
"content_hash": "50b3e031e3ca739d29db1e0d4baceaff",
"timestamp": "",
"source": "github",
"line_count": 701,
"max_line_length": 155,
"avg_line_length": 45.05135520684736,
"alnum_prop": 0.5855419397739147,
"repo_name": "dhermes/gcloud-python",
"id": "692f01f290a62e1165297583a652b297b75f371b",
"size"... |
from __future__ import absolute_import
from envisage.ui.single_project.project_factory import *
| {
"content_hash": "507463a7d35edb222b1507441be45eda",
"timestamp": "",
"source": "github",
"line_count": 2,
"max_line_length": 56,
"avg_line_length": 48,
"alnum_prop": 0.8020833333333334,
"repo_name": "enthought/etsproxy",
"id": "d99764ba434b8d3afa5ef10ef7cb12849e1836af",
"size": "111",
"binary": ... |
import argparse
# Parameters
parser = argparse.ArgumentParser(description='Catcher')
parser.add_argument('--grid', dest='grid', type=int, default=11, help='Game grid size.')
parser.add_argument('--memory', dest='memory', type=int, default=500, help='Experience replay memory length')
parser.add_argument('--epoch', dest... | {
"content_hash": "5ec0291bc31b93e17c1b16484933cecc",
"timestamp": "",
"source": "github",
"line_count": 52,
"max_line_length": 136,
"avg_line_length": 45.86538461538461,
"alnum_prop": 0.7488469601677149,
"repo_name": "EderSantana/X",
"id": "3c3b12b4d54233a6ae3d7dee8a275614c90ac26e",
"size": "2385",... |
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine
import requests, json
Base = automap_base()
# engine, suppose it has two tables 'user' and 'address' set up
#engine = create_engine('mssql+pyodbc://devel:n***********d@NEIL-DESKTOP/FRESH?d... | {
"content_hash": "c7e4eba0bfd352440149bcca85462066",
"timestamp": "",
"source": "github",
"line_count": 31,
"max_line_length": 133,
"avg_line_length": 32.70967741935484,
"alnum_prop": 0.7001972386587771,
"repo_name": "nkenealy/shopify-product-load",
"id": "a55c61c2e674873c50f8d7daed156a29990d0ff1",
... |
import unittest
from biicode.common.utils.serializer import Serializer, DictDeserializer
from biicode.common.model.brl.block_cell_name import BlockCellName
class DummyA(object):
a = None
b = None
def __init__(self, *args, **kwargs):
self.a = 1
self.b = 2
def serialize(self):
... | {
"content_hash": "f8e6d9865ebf89fcfb22b91586a26050",
"timestamp": "",
"source": "github",
"line_count": 138,
"max_line_length": 90,
"avg_line_length": 30.97826086956522,
"alnum_prop": 0.47134502923976607,
"repo_name": "biicode/common",
"id": "f8850b16cebf4bf8781bc346ccf9f1199aaef65e",
"size": "4275... |
from django.contrib import admin
# Register your models here.
from pedidovenda.models import Categoria
from pedidovenda.models import Produto
from pedidovenda.models import Pedido
from pedidovenda.models import ItemPedido
from pedidovenda.models import Mesa
from pedidovenda.models import Usuario
from django.contrib i... | {
"content_hash": "4f7072f01c967fd7d2bdbe6ba8727fd6",
"timestamp": "",
"source": "github",
"line_count": 48,
"max_line_length": 91,
"avg_line_length": 29.0625,
"alnum_prop": 0.7670250896057348,
"repo_name": "thaleslima/WS-pedido-venda",
"id": "513d6ba52a61d4329298e08ec3d0c858eff1a693",
"size": "1395... |
import logging
def make_logger(configuration):
pass | {
"content_hash": "4adcd9ca856ed3707ea3839fe37c060a",
"timestamp": "",
"source": "github",
"line_count": 5,
"max_line_length": 31,
"avg_line_length": 11.4,
"alnum_prop": 0.7543859649122807,
"repo_name": "tokyo-jesus/aniracetam",
"id": "304c02c84ec61c8016f760f25f161af168f7bee0",
"size": "82",
"bina... |
from typing import Any, Callable, Dict, Iterable, Optional, TypeVar
from msrest import Serializer
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineRespon... | {
"content_hash": "799d7fadbb064e57d5d88d7ff52cbe47",
"timestamp": "",
"source": "github",
"line_count": 382,
"max_line_length": 255,
"avg_line_length": 42.78010471204188,
"alnum_prop": 0.6464325052013218,
"repo_name": "Azure/azure-sdk-for-python",
"id": "539ab71c846e8a3294b1bc5271e7bd7637e40057",
"... |
VERSION='0.1' # very early develop version
| {
"content_hash": "2855de095a68db9d8ca1be8f37a407bc",
"timestamp": "",
"source": "github",
"line_count": 1,
"max_line_length": 42,
"avg_line_length": 43,
"alnum_prop": 0.7441860465116279,
"repo_name": "pyKun/nova-thousands",
"id": "2a3c4ab61958ec5b99e51432a13b069d9b1266db",
"size": "135",
"binary"... |
from distutils.core import setup
from Cython.Build import cythonize
setup(
ext_modules = cythonize("gen_walk.pyx", language="c++")
)
| {
"content_hash": "6e7d4c2dfbccc127cc69f22ceeb949e1",
"timestamp": "",
"source": "github",
"line_count": 6,
"max_line_length": 63,
"avg_line_length": 24.333333333333332,
"alnum_prop": 0.6917808219178082,
"repo_name": "gear/motifwalk",
"id": "fc75f2d11a5d4a50494a5e146601b00e24c8a8cd",
"size": "146",
... |
from unittest import mock
from heat.engine.clients.os import zaqar
from heat.tests import common
from heat.tests import utils
class ZaqarClientPluginTest(common.HeatTestCase):
def test_create(self):
context = utils.dummy_context()
plugin = context.clients.client_plugin('zaqar')
client = ... | {
"content_hash": "5f5c6731d870101e4c37a59e57fd0716",
"timestamp": "",
"source": "github",
"line_count": 33,
"max_line_length": 78,
"avg_line_length": 37.303030303030305,
"alnum_prop": 0.6246953696181966,
"repo_name": "openstack/heat",
"id": "bd588c7c913f85ce4cb7221f9c09de9dba2b8f5f",
"size": "1806"... |
"""
====================================================================
Decoding in sensor space data using the Common Spatial Pattern (CSP)
====================================================================
Decoding applied to MEG data in sensor space decomposed using CSP.
Here the classifier is applied to feature... | {
"content_hash": "8283db475bd11270a575d4d381aabf42",
"timestamp": "",
"source": "github",
"line_count": 107,
"max_line_length": 79,
"avg_line_length": 36.55140186915888,
"alnum_prop": 0.646637688570698,
"repo_name": "mne-tools/mne-tools.github.io",
"id": "da1ad28ddcebe89dd7920e4a0d5c129fbfd100c1",
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.