text stringlengths 4 1.02M | meta dict |
|---|---|
from __future__ import print_function
import io
import os
import sys
import json
import multiprocessing
class Setup(object):
OPT_BOOL = {"Y": True, "n": False}
OPT_SIGNATURE = {"Y": "optional", "n": "required"}
OPT_FILE_FORMAT = ["csv", "json"]
OPT_DIALECTS = {"abs": "Azure Blob Storage", "aqs": "Azur... | {
"content_hash": "ad6d5e7c8593b9dfc2820d905ae1a497",
"timestamp": "",
"source": "github",
"line_count": 176,
"max_line_length": 196,
"avg_line_length": 41.63636363636363,
"alnum_prop": 0.599617903930131,
"repo_name": "wunderlist/hamustro",
"id": "b89025f836a6e06650259013a3b44e60a010731b",
"size": "... |
from django.contrib import admin
from models import TransactionStatus, SofortTransaction
class TransactionStatusInline(admin.TabularInline):
model = TransactionStatus
readonly_fields = ('status', 'reason', 'created_at')
can_delete = False
extra = 0
class TransactionAdmin(admin.ModelAdmin):
date_... | {
"content_hash": "d73b4b6c2944309778b793bdaa759202",
"timestamp": "",
"source": "github",
"line_count": 29,
"max_line_length": 145,
"avg_line_length": 37.758620689655174,
"alnum_prop": 0.6904109589041096,
"repo_name": "piquadrat/django-shop-sofortpayment",
"id": "312f46872ded0e83036701e3a7e2851c27d89... |
def skip_has_account_middleware(func):
"""
Decorator to exempt certain views from the HasAccountMiddleware check
"""
func.skip_has_account_middleware = True
return func
| {
"content_hash": "c2ab3010e183e87b981dfe0cdb8d8cbd",
"timestamp": "",
"source": "github",
"line_count": 6,
"max_line_length": 73,
"avg_line_length": 31.5,
"alnum_prop": 0.708994708994709,
"repo_name": "ulope/guardhouse",
"id": "736b3b119925c714ec3dcb932439bf48674d19f1",
"size": "190",
"binary": f... |
"""
Django settings for ecommerce project.
Generated by 'django-admin startproject' using Django 1.8.
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/
"""
# Build path... | {
"content_hash": "8829e194b166aa65fe5a724dfe775c95",
"timestamp": "",
"source": "github",
"line_count": 149,
"max_line_length": 87,
"avg_line_length": 24.80536912751678,
"alnum_prop": 0.6920995670995671,
"repo_name": "joshdavies89/e-commerce",
"id": "e4adc543a818eac7837af56a761a016dcc23ab42",
"size... |
"""Client support for network related api calls."""
import json
from hil.client.base import ClientBase
from hil.client.base import check_reserved_chars
class Network(ClientBase):
"""Consists of calls to query and manipulate network related
objects and relations.
"""
def list(self):
"""Lists ... | {
"content_hash": "1193ec3b9579d64ba710c2262d5803d0",
"timestamp": "",
"source": "github",
"line_count": 70,
"max_line_length": 75,
"avg_line_length": 35.2,
"alnum_prop": 0.6006493506493507,
"repo_name": "CCI-MOC/haas",
"id": "0c405e087c325427f19a5ecc1dcb53201924d43a",
"size": "2464",
"binary": fa... |
import unittest
from pale import Resource, ResourcePatch
from pale.fields import (BaseField, IntegerField, ListField, ResourceField,
ResourceListField, StringField)
class Stats(object):
def __init__(self):
self.logins = 0
class Counter(object):
def __init__(self, key, value=0):
self... | {
"content_hash": "74a243f57bc0294c46f18e0821b754ef",
"timestamp": "",
"source": "github",
"line_count": 112,
"max_line_length": 78,
"avg_line_length": 26.125,
"alnum_prop": 0.5902255639097744,
"repo_name": "Loudr/pale",
"id": "08d21518f2493ebe538718ec6342e35d5a1f85f9",
"size": "2950",
"binary": f... |
"""
A full GN block has the following computation steps
1. Compute updated edge attributes
2. Aggregate edge attributes per node
3. Compute updated node attributes
4. Aggregate edge attributes globally
5. Aggregate node attributes globally
6. Compute updated global attribute
[1] https://arxiv.org/pdf/1806.01261.... | {
"content_hash": "ad3138f851ccde13881b29be30baeeaa",
"timestamp": "",
"source": "github",
"line_count": 199,
"max_line_length": 115,
"avg_line_length": 38.89949748743719,
"alnum_prop": 0.61619945743444,
"repo_name": "materialsvirtuallab/megnet",
"id": "8f40d62cea2eacf7fadd75dd891697581fc0d2a4",
"si... |
from __future__ import division, print_function, unicode_literals
import cv2
import numpy as np
NORM_SIZE = (1100, 800)
MERGE_SIZE = (700, 530)
# ID number field
NUM_FIELD = np.array([[450, 210], [920, 270]], dtype='int')
NUM_TITLE = np.array([[0, 0], [70, 60]], dtype='int')
# Name field
NAME_FIELD = np.array([[340, ... | {
"content_hash": "7997c59f3f395abc56f695ef51851b32",
"timestamp": "",
"source": "github",
"line_count": 158,
"max_line_length": 125,
"avg_line_length": 31.240506329113924,
"alnum_prop": 0.654578606158833,
"repo_name": "trangnm58/idrec",
"id": "c32a025b13c748110567cd852bce8d79d778813e",
"size": "493... |
def application(environ, start_response):
start_response('200 OK', [('Content-Type', 'text/html')])
body = '<h1>Hello, %s!</h1>' % (environ['PATH_INFO'][1:] or 'web2')
return [body.encode('utf-8')]
| {
"content_hash": "20bfae7b10435f309ade7b49ba7d51f6",
"timestamp": "",
"source": "github",
"line_count": 5,
"max_line_length": 71,
"avg_line_length": 42.2,
"alnum_prop": 0.6018957345971564,
"repo_name": "PeytonXu/learn-python",
"id": "5de3a52b9e1735b90d8e73af1129e15207461c74",
"size": "211",
"bina... |
from ._assets import (
Asset,
Equity,
Future,
make_asset_array,
CACHE_FILE_TEMPLATE
)
from .assets import (
AssetFinder,
AssetConvertible,
AssetFinderCachedEquities
)
__all__ = [
'Asset',
'Equity',
'Future',
'AssetFinder',
'AssetFinderCachedEquities',
'AssetConve... | {
"content_hash": "2b606277821acd75807dfb1c73d8c035",
"timestamp": "",
"source": "github",
"line_count": 23,
"max_line_length": 32,
"avg_line_length": 16.565217391304348,
"alnum_prop": 0.6167979002624672,
"repo_name": "nborggren/zipline",
"id": "51b4358add28ba73d17c4b23b26ec0b752b4e7f6",
"size": "96... |
import warnings
from odin.compatibility import deprecated
class TestDeprecated:
def test_function_deprecation_warning(self):
@deprecated("No longer used.", category=UserWarning)
def deprecated_function():
pass
with warnings.catch_warnings(record=True) as warning_log:
... | {
"content_hash": "e15ded3624996751d54e6eea4ec0459e",
"timestamp": "",
"source": "github",
"line_count": 34,
"max_line_length": 91,
"avg_line_length": 32.64705882352941,
"alnum_prop": 0.6216216216216216,
"repo_name": "python-odin/odin",
"id": "46240ab8a91f8efe408c495d4d5c7b9d71966981",
"size": "1110... |
import logging
import time
import uuid
import os
import Queue
import pytest
from chatexchange.client import Client
from chatexchange import events
import live_testing
logger = logging.getLogger(__name__)
TEST_ROOMS = [
('stackexchange.com', '14219'), # Charcoal Sandbox
]
if (os.environ.get('TRAVIS_BUILD_I... | {
"content_hash": "e773f88a14d095dd50f718f672def405",
"timestamp": "",
"source": "github",
"line_count": 195,
"max_line_length": 81,
"avg_line_length": 35.08205128205128,
"alnum_prop": 0.6019587779564392,
"repo_name": "hichris1234/ChatExchange",
"id": "cba4cd1843bb9947e4bfcd28708deb08c2526223",
"siz... |
import os
import unittest
from Constants.PathConstants import PathConstants
from Constants.MessageKeys import MessageKeys
from Domain.Presentation import Presentation
class PresentationTest(unittest.TestCase):
def setUp(self):
self.presentation = Presentation()
self.presentation_filenames = ["a.... | {
"content_hash": "c860072eed7dd3b1b5207736249a103c",
"timestamp": "",
"source": "github",
"line_count": 72,
"max_line_length": 138,
"avg_line_length": 51.111111111111114,
"alnum_prop": 0.7247282608695652,
"repo_name": "RemuTeam/Remu",
"id": "3a54acf423c25af4729de6d24208de89802d2f4d",
"size": "3680"... |
from __future__ import division
import os.path
import random
import urllib
from datetime import datetime
try:
from cStringIO import StringIO
except ImportError:
from StringIO import StringIO
from PIL import Image
from django.db import models
from django.conf import settings
from django.core.urlresolvers impo... | {
"content_hash": "2f585f64a7ce8e9e4c9ab8a9267a213b",
"timestamp": "",
"source": "github",
"line_count": 100,
"max_line_length": 103,
"avg_line_length": 35.89,
"alnum_prop": 0.6057397603789356,
"repo_name": "mollyproject/mollyproject",
"id": "44938bd29fae370c0dd23018a15f394e26eff55d",
"size": "3589"... |
"""Functions and classes related to optimization (weight updates).
Source: https://github.com/google-research/bert
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
import tensorflow as tf
def create_optimizer(loss,
init_... | {
"content_hash": "cc6fae0dd6721a15cc24d2b00ed59e8e",
"timestamp": "",
"source": "github",
"line_count": 176,
"max_line_length": 78,
"avg_line_length": 34.40340909090909,
"alnum_prop": 0.6340214698596202,
"repo_name": "google-research/google-research",
"id": "58126fd26bf6816b5e8ae6fe055393db494407bf",... |
from __future__ import unicode_literals
import datetime
import math
import os
import re
import tokenize
import unittest
import warnings
from django.core.validators import RegexValidator, EmailValidator
from django.db import models, migrations
from django.db.migrations.writer import MigrationWriter, SettingsReference
... | {
"content_hash": "99f471cfe2397edbae4c98b556cec16c",
"timestamp": "",
"source": "github",
"line_count": 367,
"max_line_length": 126,
"avg_line_length": 45.85558583106267,
"alnum_prop": 0.6405609364786975,
"repo_name": "webostin/django-btc",
"id": "5e7e8b75cdac54bd84f14749be1aa5eaec565e47",
"size": ... |
from django.core.management.base import BaseCommand
from dashboard.models import User, App, APICall, Webhook, WebhookTriggerHistory
class Command(BaseCommand):
help = 'Cleans Dashboard of everything'
def handle(self, *args, **options):
string = input("THIS WILL WIPE THESE MODELS ARE YOU S... | {
"content_hash": "b9a54e8188b59c65d60b4bc6d9788cf2",
"timestamp": "",
"source": "github",
"line_count": 18,
"max_line_length": 79,
"avg_line_length": 35.55555555555556,
"alnum_prop": 0.6078125,
"repo_name": "uclapi/uclapi",
"id": "975a8fb496a42ce8f844e09b00e9d873ba96e0c1",
"size": "640",
"binary"... |
import os
import re
import sys
INCLUDE_DIRECTIVE_RE = re.compile(r'^#include "(.*)"')
RUNTIME_LAYER_HEADERS = [
'runtime/vm/isolate.h',
'runtime/vm/object.h',
'runtime/vm/raw_object.h',
'runtime/vm/thread.h',
]
SHOULD_NOT_DEPEND_ON_RUNTIME = [
'runtime/vm/allocation.h',
'runtime/vm/growable_a... | {
"content_hash": "a2b50d11663c1d3694e8b0efb817837c",
"timestamp": "",
"source": "github",
"line_count": 119,
"max_line_length": 80,
"avg_line_length": 34.747899159663866,
"alnum_prop": 0.5535671100362757,
"repo_name": "dart-lang/sdk",
"id": "e8c955a0ee078a6ed2cc225e9f63e276252e2767",
"size": "4631"... |
import marioai
__all__ = ['Task']
class Task(object):
'''A task handles communication with the environment.
It decides how to evaluate the observations, potentially returning
reinforcement rewards or fitness values. Furthermore it is a filter for
what should be visible to the agent. Also, it can p... | {
"content_hash": "12200764e3442d106d412299d27bdf6e",
"timestamp": "",
"source": "github",
"line_count": 65,
"max_line_length": 76,
"avg_line_length": 27.584615384615386,
"alnum_prop": 0.5939765755716676,
"repo_name": "renatopp/marioai",
"id": "6073a7e4b07b8bb418789a838223c849f706f3f8",
"size": "179... |
import logging
from django.conf.urls import url
from django.core.exceptions import ImproperlyConfigured
from .views import ActivitiesGenericObjectView
from .views import ActivitiesView
from .views import ActivityDeleteView
from .views import ActivityEditView
from .views import ActivityRepliesView
from .views import A... | {
"content_hash": "4f8bc37319fc3c5036e40aeab9ab004c",
"timestamp": "",
"source": "github",
"line_count": 125,
"max_line_length": 143,
"avg_line_length": 43.264,
"alnum_prop": 0.6288831360946746,
"repo_name": "InfoAgeTech/django-activities",
"id": "293656d862d1d2de5de4b4e9cd9d2a14f3ed34df",
"size": "... |
'''
Created on Nov 23, 2010
@author: bolme
'''
import svm
import numpy as np
import tempfile
import os
class UntrainedClassifierError(Exception):
pass
class _LabelMap:
'''Converts class labels back and forth to integer codes.'''
def __init__(self):
'''Create and initialze the mapping.'''
... | {
"content_hash": "ceea0f7687c5df7dd98a5ce20d2348f0",
"timestamp": "",
"source": "github",
"line_count": 302,
"max_line_length": 121,
"avg_line_length": 29.44701986754967,
"alnum_prop": 0.5469470369953896,
"repo_name": "mikeseven/pyvision",
"id": "317cd6fe128375681bc1069db8bdf7a13ed7fe98",
"size": "... |
import sys
import json
import time
import random
import hashlib
import operator
import bitcoinrpc
import pybitcointools
from decimal import *
HEXSPACE='21' #change this to 21 if your hex decode is malformed, system dependent value
if len(sys.argv) > 1 and "--force" not in sys.argv:
print "Takes a list of bitcoin... | {
"content_hash": "ef923027b8268cac10b3db3479067345",
"timestamp": "",
"source": "github",
"line_count": 242,
"max_line_length": 378,
"avg_line_length": 40.607438016528924,
"alnum_prop": 0.6887147654421492,
"repo_name": "thehobbit85/coinpowers",
"id": "0575e096f2ad5737836607956afc98eb767fcdef",
"siz... |
"""
commswave
=========
Takes device communications up and down according to a timefunction.
Comms will be working whenever the timefunction returns non-zero.
Configurable parameters::
{
"timefunction" : A timefunction definition
"threshold" : (optional) Comms will only work when the timefunction ... | {
"content_hash": "23c6fe11ce677a7486cf13687e83c373",
"timestamp": "",
"source": "github",
"line_count": 83,
"max_line_length": 228,
"avg_line_length": 48.65060240963855,
"alnum_prop": 0.6619613670133729,
"repo_name": "DevicePilot/synth",
"id": "da77e9a33aefa09030505cc60fe92fd3ecc85acf",
"size": "40... |
"""
BostonBikr.py will allow the user to import a map (from a SQL database or local files) and run path-finding calculations on it.
"""
from math import sin, cos, sqrt, atan2, acos, radians
from Queue import Queue
from sets import Set
#import pymysql as mdb
import pickle
import networkx as nx
import matplotlib.pyplot ... | {
"content_hash": "0db3a672a39d88f7a2246634cac6bcf8",
"timestamp": "",
"source": "github",
"line_count": 561,
"max_line_length": 139,
"avg_line_length": 34.06951871657754,
"alnum_prop": 0.6107361481714016,
"repo_name": "gaurav-kaushik/BostonBikr",
"id": "bf7617a5528db8f714ca07aea6d7cac5982ed152",
"s... |
import sys
import gzip
allS = gzip.open(sys.argv[2])
allPeaks = {}
otherPeaks = {}
otherPercs = {}
otherIntervals = {}
for i in range(1, 23):
allPeaks["chr%d" % i] = []
otherPeaks["chr%d" % i] = []
# read in all autosomal peaks
for line in allS:
parts = line.strip().split()
chrom = parts[0]
if ch... | {
"content_hash": "e4fba9394a326b5753fba3babc6db2d5",
"timestamp": "",
"source": "github",
"line_count": 123,
"max_line_length": 281,
"avg_line_length": 30.536585365853657,
"alnum_prop": 0.5191693290734825,
"repo_name": "shendurelab/cfDNA",
"id": "f31a74c06db8814db96fa897bca071fecd021029",
"size": "... |
import copy
import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
class TestHuffmanTree(unittest.TestCase):
def test_empty(self... | {
"content_hash": "3ec22ea545d9573f084149d03e3963a6",
"timestamp": "",
"source": "github",
"line_count": 111,
"max_line_length": 75,
"avg_line_length": 32.747747747747745,
"alnum_prop": 0.5716643741403026,
"repo_name": "aonotas/chainer",
"id": "ead908e34f0b92f27203a893fd73b975f7759894",
"size": "363... |
import numpy as np
from skimage.util import img_as_float
class FeatureDetector(object):
def __init__(self):
self.keypoints_ = np.array([])
def detect(self, image):
"""Detect keypoints in image.
Parameters
----------
image : 2D array
Input image.
... | {
"content_hash": "0e7184a87652f5aa03ed1adf871e2185",
"timestamp": "",
"source": "github",
"line_count": 161,
"max_line_length": 79,
"avg_line_length": 29.354037267080745,
"alnum_prop": 0.5854845535336437,
"repo_name": "chintak/scikit-image",
"id": "8ee2baf8470ae3d11bb94141fd35015ce6685bcc",
"size":... |
"""
Support for Västtrafik public transport.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.vasttrafik/
"""
from datetime import datetime
from datetime import timedelta
import logging
import voluptuous as vol
import homeassistant.helpers.config_... | {
"content_hash": "c2579ba4d5f3feec9328b4da049dea6d",
"timestamp": "",
"source": "github",
"line_count": 148,
"max_line_length": 75,
"avg_line_length": 33.28378378378378,
"alnum_prop": 0.6033292732440114,
"repo_name": "HydrelioxGitHub/home-assistant",
"id": "8148a5c2fc7bdf2b43ce0e8303595a0e81ded94a",
... |
import json
import numpy as np
from shapely.geometry import LineString, Point
from modules.planning.proto import planning_pb2
from common.statistical_analyzer import StatisticalAnalyzer
from common.statistical_analyzer import PrintColors
from common.distribution_analyzer import DistributionAnalyzer
from common.error_c... | {
"content_hash": "07bfaef0f24b314587b500f4c88037b4",
"timestamp": "",
"source": "github",
"line_count": 226,
"max_line_length": 89,
"avg_line_length": 39.924778761061944,
"alnum_prop": 0.5777457608334257,
"repo_name": "msbeta/apollo",
"id": "6c3b8912e4c474a21cd09731f9bd120d70dddc15",
"size": "9807"... |
from south.utils import datetime_utils as 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 'CoreReplicationTopology'
db.create_table(u'physical_corereplicationtopology', (
... | {
"content_hash": "9a4e4d9e8e29c7594085933b9287ae13",
"timestamp": "",
"source": "github",
"line_count": 419,
"max_line_length": 239,
"avg_line_length": 93.05489260143199,
"alnum_prop": 0.5647088997178764,
"repo_name": "globocom/database-as-a-service",
"id": "c5b0a451ae0ab151b1753db5639378cda17e65b7",... |
"""Test the wallet."""
from decimal import Decimal
import time
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
assert_array_result,
assert_equal,
assert_fee_amount,
assert_raises_rpc_error,
connect_nodes_bi,
wait_until,
)
class WalletTest(Bitco... | {
"content_hash": "d29ffe4c3c45a09493fa3eac9c434874",
"timestamp": "",
"source": "github",
"line_count": 530,
"max_line_length": 193,
"avg_line_length": 50.74716981132075,
"alnum_prop": 0.6284949434860202,
"repo_name": "nikkitan/bitcoin",
"id": "ce04110240e6da032b6346492ac01e14214752a0",
"size": "27... |
class CException(Exception):
message = ''
err_no = -1
def __init__(self, err_no, message=''):
self.err_no = err_no
self.message = message
def __str__(self):
if self.message == '':
return ('An Unknown C exception occurred! Error: {}'
.format(self.... | {
"content_hash": "2d2c238d8029bae6d8c88f169afb290f",
"timestamp": "",
"source": "github",
"line_count": 78,
"max_line_length": 78,
"avg_line_length": 46.03846153846154,
"alnum_prop": 0.55583402951824,
"repo_name": "jvanbrug/netflix",
"id": "73eaa654fd5d80916001b71ff9e995c2f9885703",
"size": "3591",... |
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)
token = client.tok... | {
"content_hash": "20882f1f751c54c02bd8f674f6255eda",
"timestamp": "",
"source": "github",
"line_count": 11,
"max_line_length": 62,
"avg_line_length": 32.27272727272727,
"alnum_prop": 0.7661971830985915,
"repo_name": "TwilioDevEd/api-snippets",
"id": "1df0c780a0bd1e6796fadf8ac8e5ea3e55afbb7e",
"size... |
def reduce_columns(question):
"""
Coursera formats survey responses as columns per available responses
for multiple choice questions. This function reduces the dimensionality
of each question to a single column.
Typically the input should look like:
question = reduce_columns(survey[survey_ques... | {
"content_hash": "eac584afd3d43cd67b1ded432283b734",
"timestamp": "",
"source": "github",
"line_count": 40,
"max_line_length": 118,
"avg_line_length": 30.825,
"alnum_prop": 0.5904298459042985,
"repo_name": "mnky9800n/GT-Coursera-Data-Wrangler",
"id": "496d27b39f42e7c92dfeb07126b90d0ee14c7eec",
"siz... |
__version__ = '0.14.2a0'
from . import hdrs # noqa
from .protocol import * # noqa
from .connector import * # noqa
from .client import * # noqa
from .errors import * # noqa
from .helpers import * # noqa
from .parsers import * # noqa
from .streams import * # noqa
from .multidict import * # noqa
__all__ = (cl... | {
"content_hash": "c7596d9b060c05cb316764144d68b5b0",
"timestamp": "",
"source": "github",
"line_count": 23,
"max_line_length": 35,
"avg_line_length": 25.130434782608695,
"alnum_prop": 0.5173010380622838,
"repo_name": "saghul/aiohttp",
"id": "ff5dd4100e935c976968f92cbd7ee21d8c566e0d",
"size": "647",... |
"""
Device for Zigbee Home Automation.
For more details about this component, please refer to the documentation at
https://home-assistant.io/integrations/zha/
"""
import asyncio
from datetime import timedelta
from enum import Enum
import logging
import time
import zigpy.exceptions
import zigpy.quirks
from zigpy.profi... | {
"content_hash": "f4f862d99d892468203c577ced4994aa",
"timestamp": "",
"source": "github",
"line_count": 513,
"max_line_length": 87,
"avg_line_length": 33.853801169590646,
"alnum_prop": 0.5836932112627397,
"repo_name": "qedi-r/home-assistant",
"id": "e5d1678ad6fa314cae030f7ffdaf68c5a039d381",
"size"... |
import shlex
import subprocess
import tempest.cli as cli
from tempest.openstack.common import log as logging
from tempest.tests import base
LOG = logging.getLogger(__name__)
class StressFrameworkTest(base.TestCase):
"""Basic test for the stress test framework.
"""
def _cmd(self, cmd, param):
""... | {
"content_hash": "e983ecb252c33a1f3ca4560169cb58db",
"timestamp": "",
"source": "github",
"line_count": 40,
"max_line_length": 69,
"avg_line_length": 31.525,
"alnum_prop": 0.5408406026962728,
"repo_name": "vmahuli/tempest",
"id": "5a334c53902f2b942527155fc6b18dc0b09ca11d",
"size": "1896",
"binary... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
def get_options(option_type):
"""
option_type: string
'training' or 'diplay' or 'visualize'
"""
# name
tf.app.flags.DEFINE_string("training_name","allrob_v1","name of... | {
"content_hash": "20eda44beb5e531b4fad71a783b16668",
"timestamp": "",
"source": "github",
"line_count": 74,
"max_line_length": 133,
"avg_line_length": 55.013513513513516,
"alnum_prop": 0.7054777695897814,
"repo_name": "TheTazza/StRADRL",
"id": "a702acde9726e733d34c4242843d96d3bb334416",
"size": "40... |
"""Test ESPEI's database utilities
Tests in here are heavily parameterized and represent a large fraction of the
number of tests, but a small amount of coverage.
"""
from pycalphad import variables as v
import pytest
import symengine
from symengine import Piecewise, Symbol
import espei.refdata
from espei.database_ut... | {
"content_hash": "3275b95afd58fb069086a16c60fc7d2a",
"timestamp": "",
"source": "github",
"line_count": 119,
"max_line_length": 110,
"avg_line_length": 36.46218487394958,
"alnum_prop": 0.6084351233002996,
"repo_name": "PhasesResearchLab/ESPEI",
"id": "a46320575a8b745038009680e358c43a637be46e",
"siz... |
from tempfile import NamedTemporaryFile
from pprint import pformat
from itertools import product
from sklearn import tree
import pandas as pd
from collections import Counter
from six import StringIO
from drain import util, step
def explore(steps, reload=False):
return StepFrame(index=step.load(steps, reload=rel... | {
"content_hash": "b5ff04bfd0fa45c88ff650398f6c48b4",
"timestamp": "",
"source": "github",
"line_count": 305,
"max_line_length": 96,
"avg_line_length": 35.34754098360656,
"alnum_prop": 0.6160838512197384,
"repo_name": "potash/drain",
"id": "c54427a3400d2b655c2109be327495431bfad944",
"size": "10781",... |
__author__ = 'Charles Hong'
__emailID__ = 'csh6cw'
from helper import greeting
from goodbye import farewell
from quack import quack
if __name__ == '__main__':
greeting('hello')
quack('(quack)')
quack('Surprise!')
farewell('goodbye')
| {
"content_hash": "09676bc468b144edd073f56c1a3a3c4a",
"timestamp": "",
"source": "github",
"line_count": 12,
"max_line_length": 28,
"avg_line_length": 20.916666666666668,
"alnum_prop": 0.6374501992031872,
"repo_name": "charleshong/cs3240-labdemo",
"id": "1214e02f5d57ac620e5d70e07e2d1f8193a2adc1",
"s... |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('system', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='DeviceGroup',
fiel... | {
"content_hash": "10d83a9dc7bff991785268a296111d71",
"timestamp": "",
"source": "github",
"line_count": 32,
"max_line_length": 128,
"avg_line_length": 32.71875,
"alnum_prop": 0.5749761222540593,
"repo_name": "buzzsurfr/lbm",
"id": "751a5ca861727ed330e2549739b9a2c38d849e5d",
"size": "1119",
"binar... |
from sklearn_explain.tests.skl_datasets import skl_datasets_test as skltest
skltest.test_class_dataset_and_model("iris" , "AdaBoostClassifier_1")
| {
"content_hash": "3576ebd972dbe7ad89938336ae846f20",
"timestamp": "",
"source": "github",
"line_count": 4,
"max_line_length": 75,
"avg_line_length": 37,
"alnum_prop": 0.7972972972972973,
"repo_name": "antoinecarme/sklearn_explain",
"id": "39728194ac402fbf8d043700b8dc7485ed61e397",
"size": "148",
... |
"""Tool to interactively call sl4a methods.
SL4A (Scripting Layer for Android) is an RPC service exposing API calls on
Android.
Original version: https://github.com/damonkohler/sl4a
Fork in AOSP (can make direct system privileged calls):
https://android.googlesource.com/platform/external/sl4a/
Also allows access to... | {
"content_hash": "36db2cc5256b4a7921408a2bb61a4e53",
"timestamp": "",
"source": "github",
"line_count": 52,
"max_line_length": 80,
"avg_line_length": 30.48076923076923,
"alnum_prop": 0.6561514195583596,
"repo_name": "l-meng/mobly",
"id": "1006ff8800aa860c2d122f84b80ac8ce4fcba422",
"size": "2188",
... |
from .._abstract.abstract import BaseAGSServer
import json
from parameters import ClusterProtocol
########################################################################
class Clusters(BaseAGSServer):
"""
This resource is a collection of all the clusters created within your
site. The Create Cluster operati... | {
"content_hash": "41d4d7ab6207757c3b5d2710c153214e",
"timestamp": "",
"source": "github",
"line_count": 378,
"max_line_length": 83,
"avg_line_length": 42.79100529100529,
"alnum_prop": 0.49057187017001547,
"repo_name": "achapkowski/ArcREST",
"id": "60577b1ac5fe3a6fed1ca95e0dc19f54680f8b6e",
"size": ... |
"""State variables for analysis solutions such as powerflow.
"""
from CIM14.CDPSM.GIS_Connectivity.IEC61970.StateVariables.SvTapStep import SvTapStep
nsURI = "http://iec.ch/TC57/2009/CIM-schema-cim14?profile=http://iec.ch/TC57/2007/profile#StateVariables"
nsPrefix = "cimStateVariables"
| {
"content_hash": "f920b4512b3faed6326ce72b1085fc4d",
"timestamp": "",
"source": "github",
"line_count": 8,
"max_line_length": 105,
"avg_line_length": 36.25,
"alnum_prop": 0.7931034482758621,
"repo_name": "rwl/PyCIM",
"id": "b0a900115bb920ed5f5fdce22c994c34287a8f78",
"size": "1390",
"binary": fals... |
"""Test the Foscam config flow."""
from unittest.mock import patch
from libpyfoscam.foscam import (
ERROR_FOSCAM_AUTH,
ERROR_FOSCAM_CMD,
ERROR_FOSCAM_UNAVAILABLE,
ERROR_FOSCAM_UNKNOWN,
)
from homeassistant import config_entries, data_entry_flow
from homeassistant.components.foscam import config_flow
... | {
"content_hash": "8e053f4ccbf65a334fc484c91c77b456",
"timestamp": "",
"source": "github",
"line_count": 247,
"max_line_length": 88,
"avg_line_length": 32.02429149797571,
"alnum_prop": 0.6359039190897599,
"repo_name": "toddeye/home-assistant",
"id": "63c30c16babe562d7699f88b9abed88ac7270665",
"size"... |
import numpy as np
def read(filename):
f = open(filename)
names = f.readline().strip('\n#').split(' ')
dtype = np.concatenate((['int', 'int'], (36*'float ').split(' ')[:-1]))
f.close()
stat = np.genfromtxt(filename, dtype=dtype, names=names, skiprows=1)
return stat
| {
"content_hash": "f3860ecb75cdc79ec0a519c0beb56860",
"timestamp": "",
"source": "github",
"line_count": 9,
"max_line_length": 75,
"avg_line_length": 32.333333333333336,
"alnum_prop": 0.5979381443298969,
"repo_name": "salomanders/NbodyPythonTools",
"id": "3109a74a4d1673d44bfafd97c7126d2ec1caf769",
"... |
"""Different policy losses."""
import gin
from seed_rl.agents.policy_gradient.modules import constraints
from seed_rl.agents.policy_gradient.modules import logging_module
import tensorflow as tf
@gin.configurable
class AdvantagePreprocessor(tf.Module):
"""Advantages preprocessor."""
def __init__(self, normalize... | {
"content_hash": "04df54deb8fc18aac7631a32b29d3311",
"timestamp": "",
"source": "github",
"line_count": 232,
"max_line_length": 80,
"avg_line_length": 39.07327586206897,
"alnum_prop": 0.685273028130171,
"repo_name": "google-research/seed_rl",
"id": "9a71641fe1247abb28aa320cb56884374fa7616d",
"size"... |
import unittest
import os
import time
import sys
import random
import math
import functools
import contextlib
import tempfile
import numpy as np
from PIL import Image, ImageEnhance
import paddle
import paddle.fluid as fluid
from paddle.dataset.common import download
from paddle.fluid.contrib.slim.quantization import Po... | {
"content_hash": "d6951429d4bf3f6c45e53f123eb810d2",
"timestamp": "",
"source": "github",
"line_count": 524,
"max_line_length": 113,
"avg_line_length": 31.103053435114504,
"alnum_prop": 0.5403730519082096,
"repo_name": "luotao1/Paddle",
"id": "37daeab1186299f23da8e90101ad12926ebde7f9",
"size": "169... |
"""Numpy utility functions."""
# Could penalize minimum volume for RBFs.
# Could penalize heavily if another quadric has higher weight within this quad's
# radius.
# Plot fraction in which 1 quadrics has 90% or more of the total weight.
# If total weight is below epsilon, don't show (or show which those are). Set
# th... | {
"content_hash": "b53ca19df8e046a846615c1fa44211b9",
"timestamp": "",
"source": "github",
"line_count": 431,
"max_line_length": 80,
"avg_line_length": 36.80278422273782,
"alnum_prop": 0.6332744924977934,
"repo_name": "google/ldif",
"id": "1ccf547bab1af07520b77677d9bb7724287ac99f",
"size": "16456",
... |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0056_auto_20171030_1446'),
]
operations = [
migrations.AddField(
model_name='partner',
name='title',
fie... | {
"content_hash": "f16462188850676209fe156b22aef71b",
"timestamp": "",
"source": "github",
"line_count": 18,
"max_line_length": 74,
"avg_line_length": 22.055555555555557,
"alnum_prop": 0.5944584382871536,
"repo_name": "OKThess/website",
"id": "7cf4ea82ce6550def9eba116a7dec3eec4d5cb23",
"size": "470"... |
import itertools
from abc import ABCMeta, abstractmethod
from qiime2.core.util import tuplize, ImmutableBase
def maximal_antichain(*types):
maximal_elements = {} # easy to delete, retains order
for t in types:
placed = False
for e in list(maximal_elements):
if e <= t:
... | {
"content_hash": "455ae485dc542795f4406ff8eefcdb6c",
"timestamp": "",
"source": "github",
"line_count": 640,
"max_line_length": 79,
"avg_line_length": 31.096875,
"alnum_prop": 0.55712993668978,
"repo_name": "thermokarst/qiime2",
"id": "2102a933d29dd52008c03a5d094cc36fd194d090",
"size": "20252",
"... |
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Xml;
using PrettyGood.Util;
namespace PrettyGood.LastFm
{
public class FoundArtist
{
internal FoundArtist(XmlElement el)
{
this.name = Xml.GetTextOfSubElement(el, "name");
... | {
"content_hash": "2827ecc312a899de8798b6b514583a9f",
"timestamp": "",
"source": "github",
"line_count": 33,
"max_line_length": 66,
"avg_line_length": 24.939393939393938,
"alnum_prop": 0.5759416767922235,
"repo_name": "madeso/prettygood",
"id": "8b1058c5f3d19ab6ab737e0c62a01808f56c5280",
"size": "82... |
import unittest
import matchcompiler
class MatchCompilerTest(unittest.TestCase):
def setUp(self):
self.mc = matchcompiler.MatchCompiler(verify_mode=False)
def test_parseMatch(self):
self.assertEqual(self.mc.parseMatch(' Token::Match(tok, ";") ', 2), [
'Token::Match(... | {
"content_hash": "262434dda2055459ee55ffb5ad8651c2",
"timestamp": "",
"source": "github",
"line_count": 140,
"max_line_length": 145,
"avg_line_length": 48.25714285714286,
"alnum_prop": 0.5994671403197158,
"repo_name": "chillbu/cblib",
"id": "a2ce1b68796d1a57d6307fd78302b516750c706d",
"size": "7527"... |
from lxml import etree
from nova.api.openstack.compute.contrib import floating_ip_pools
from nova import context
from nova import network
from nova import test
from nova.tests.api.openstack import fakes
def fake_get_floating_ip_pools(self, context):
return [{'name': 'nova'},
{'name': 'other'}]
clas... | {
"content_hash": "a91a99d48fd887031115a6429936a4f0",
"timestamp": "",
"source": "github",
"line_count": 58,
"max_line_length": 73,
"avg_line_length": 37.08620689655172,
"alnum_prop": 0.6294746629474663,
"repo_name": "pombredanne/MOG",
"id": "a12d41e6edee985f27042e2005756bc52381c930",
"size": "2811"... |
from zerver.models import UserProfile, UserActivity, UserActivityInterval, Message
from django.utils.timezone import utc
from typing import Any, Dict, List, Sequence, Set
from datetime import datetime, timedelta
# Return the amount of Zulip usage for this user between the two
# given dates
def seconds_usage_between(... | {
"content_hash": "4afe43fc18a446e36ad3e8980d654eae",
"timestamp": "",
"source": "github",
"line_count": 19,
"max_line_length": 98,
"avg_line_length": 42.26315789473684,
"alnum_prop": 0.651307596513076,
"repo_name": "mahim97/zulip",
"id": "aacb272924f6020e4a2b3c7970731601e97fd7e8",
"size": "828",
... |
"""
With Transcrypt, we are running in javascript environment, hence
pythonic introspection is not available at runtime, making do with
decorators instead.
"""
from pybble.pebblejs import console
tests = []
def test(wrapped):
tests.append(wrapped)
def wrapper():
return wrapped
return wrapper()
... | {
"content_hash": "a1b85ef66301a40e2874a5df6d821990",
"timestamp": "",
"source": "github",
"line_count": 26,
"max_line_length": 66,
"avg_line_length": 17.153846153846153,
"alnum_prop": 0.7017937219730942,
"repo_name": "hiway/pybble",
"id": "91c3a5641a9c65f94505031a7dcbfd7ba78f6105",
"size": "446",
... |
from spamhandling import check_if_spam, check_if_spam_json
from datahandling import add_blacklisted_user, add_whitelisted_user
from parsing import get_user_from_url
import pytest
import os
test_data_inputs = []
with open("test/data_test_spamhandling.txt", "r") as f:
test_data_inputs = f.readlines()
@pytest.mark.... | {
"content_hash": "5b9132314bbba2d2fba5a3eadedf9eb5",
"timestamp": "",
"source": "github",
"line_count": 81,
"max_line_length": 146,
"avg_line_length": 53.074074074074076,
"alnum_prop": 0.6515468713654339,
"repo_name": "ArtOfCode-/SmokeDetector",
"id": "bbb1e03c3551a8486bdfde797679d6cc4fd18945",
"si... |
""" Encapsulates Functionality for Generating Code Snippets for a Task Description. """
from config import LANGUAGE
from code_snippet_providers.github_code_snippet_provider import GithubCodeSnippetProvider
class CodeSnippetGenerator(object):
""" Encapsulates Functionality for Generating Code Snippets for a Task ... | {
"content_hash": "16823149730627814552d070e49ecbdf",
"timestamp": "",
"source": "github",
"line_count": 38,
"max_line_length": 104,
"avg_line_length": 40.36842105263158,
"alnum_prop": 0.6988265971316818,
"repo_name": "berjc/code-complete",
"id": "170cea495426d8b918309d206e682943cbe75cd3",
"size": "... |
import mock
from neutron_lib import context
from neutron_lib import exceptions as lib_exc
from neutron_lib.plugins import constants as plugins_constants
from neutron_lib.plugins import directory
from neutron_lib.services.qos import constants as qos_consts
from oslo_config import cfg
from oslo_utils import uuidutils
fr... | {
"content_hash": "59a7b3f83a2db9a88a739f76dcbc61e5",
"timestamp": "",
"source": "github",
"line_count": 884,
"max_line_length": 79,
"avg_line_length": 47.522624434389144,
"alnum_prop": 0.5860271363960962,
"repo_name": "eayunstack/neutron",
"id": "509e7e0ce11ff50d951be5f3b86a5b8a213060d5",
"size": "... |
from __future__ import unicode_literals, division, absolute_import
import logging
from sqlalchemy import desc
from flexget import plugin
from flexget.event import event
from flexget.entry import Entry
log = logging.getLogger('emit_series')
try:
from flexget.plugins.filter.series import SeriesTask, Episode, Rele... | {
"content_hash": "b763f5c76b38dbe0ca7e7d35fe72a331",
"timestamp": "",
"source": "github",
"line_count": 145,
"max_line_length": 120,
"avg_line_length": 44.91724137931035,
"alnum_prop": 0.5436818670351604,
"repo_name": "asm0dey/Flexget",
"id": "133713f415071bb3224f5b7281853ba6644b50e6",
"size": "651... |
import logging
import constants
import dignities
import translate
sign_idx = 0
deg_idx = 1
sun_idx = 0
class AstraChart:
def __init__(self, chartname, person, chart_data):
self.chart_degrees = None
self.chartname = chartname
self.person = person
self.chart_data = chart_data # Cu... | {
"content_hash": "d88cfc379bd4142bad671dc60516a84b",
"timestamp": "",
"source": "github",
"line_count": 98,
"max_line_length": 104,
"avg_line_length": 37.13265306122449,
"alnum_prop": 0.5916460566089585,
"repo_name": "astraknots/ncis",
"id": "96e8dfa2d85a63255a149315aff5455a34bd366f",
"size": "3657... |
import sys
from fabric.api import *
from fabric.colors import green, red, green, yellow
from fabric.contrib.files import exists
from fabric.contrib import *
from django.template import Template
import os
import layout_settings
#set_operating_system()
"""
Basic commands:
"""
def show_help():
"""
help
... | {
"content_hash": "b5a69a5de95bc2fc17393a4c38d37b79",
"timestamp": "",
"source": "github",
"line_count": 95,
"max_line_length": 127,
"avg_line_length": 25.526315789473685,
"alnum_prop": 0.6511340206185567,
"repo_name": "Miki-AG/ngLaunchpad",
"id": "797ca479ca6711f234d8f455444fc8f6709cc8a9",
"size": ... |
from __future__ import absolute_import
__version__ = "0.6"
default_app_config = 'baldr.app.BaldrAppConfig'
def _ensure_registration():
"""
Ensure that model type resolvers and validation tools are registered with Odin.
This provides support for Django Models and use of Django Validators in Odin resource... | {
"content_hash": "9fe5abb8a937ab5e2db59fe6333326b9",
"timestamp": "",
"source": "github",
"line_count": 14,
"max_line_length": 91,
"avg_line_length": 27.642857142857142,
"alnum_prop": 0.7131782945736435,
"repo_name": "timsavage/baldr",
"id": "fb53e692a01921bb061c984f21e096aafabab419",
"size": "411"... |
"""Classificateur de publications.
Classifie les publications reçues suivant le médium
d'apparition de celles-ci (voir publications.py pour
les types de publications gérés.
"""
import re
__author__ = "Anas Hilama, Moncef Baazet"
class Classifier(object):
def __init__(self, pubs_types):
"""Construit un c... | {
"content_hash": "02118bac8cef73ca84d212664cbdba30",
"timestamp": "",
"source": "github",
"line_count": 35,
"max_line_length": 77,
"avg_line_length": 36.542857142857144,
"alnum_prop": 0.5934323690383112,
"repo_name": "mobajm/resextract",
"id": "f74cda0c5f72aa62b51f124174a3a35e9b6fa1f9",
"size": "13... |
import log
MAGIC = "DEADBEEF"
ADD = "ADD"
REMOVE = "REMOVE"
TOKEN = ";"
logger = log.setup_logger("StringParser")
def validate_string(input_string):
if not input_string:
logger.error("String is null")
return
output_string = input_string.strip().upper()
if not output_string.startswith(MAGIC... | {
"content_hash": "e5a38f421796402b5893a7163958317b",
"timestamp": "",
"source": "github",
"line_count": 43,
"max_line_length": 103,
"avg_line_length": 28.186046511627907,
"alnum_prop": 0.6138613861386139,
"repo_name": "bobbyphilip/learn_python",
"id": "d8dccddc0a9abe34961b5009719e33716cf0cfd1",
"si... |
import os
from .tc import *
from . import build
from . import monkey
class Re2cTask(build.BuildTask):
def __init__(self, project, sourcePath, builtDir, workingDir, toolchain, outputExt='.cpp'):
super().__init__(project)
self.sourcePath = sourcePath
self.builtDir = builtDir
self.work... | {
"content_hash": "2d9d682f9bee516cf83fe7c323804e52",
"timestamp": "",
"source": "github",
"line_count": 152,
"max_line_length": 113,
"avg_line_length": 39.30263157894737,
"alnum_prop": 0.5612654837629729,
"repo_name": "fifoforlifo/pynja",
"id": "938a8dcc1f388647c4d0e19e0b6e7072189e62a3",
"size": "5... |
from __future__ import unicode_literals
from django.db import migrations
import json
def forwards(apps, schema_editor):
ch_m = apps.all_models['chat']
Message = ch_m['message']
with open('old_smileys_info.json') as old_file:
data_old = json.load(old_file)
with open('chat/static/smileys/info.... | {
"content_hash": "02b5887c715512c61f4f3ded5b242f79",
"timestamp": "",
"source": "github",
"line_count": 54,
"max_line_length": 88,
"avg_line_length": 30.037037037037038,
"alnum_prop": 0.5690505548705302,
"repo_name": "Deathangel908/djangochat",
"id": "e7f234c5064984d93165890d3a1dadc5134b182d",
"siz... |
'''
This file shows examples on how to use the scripts in project
'''
from fileparser import do_one_pdb
from Config import *
import os,sys,io
import gzip
from vector_gen import pdb_container,fake_pdb_container
from mapping import *
from job_dispatcher import dock_dispatcher
#PDB_tar=['1uwj']
#do_one_pdb('100d')
#A=... | {
"content_hash": "8901577662d44dbd409871fdd8baf5cc",
"timestamp": "",
"source": "github",
"line_count": 48,
"max_line_length": 108,
"avg_line_length": 24.875,
"alnum_prop": 0.6909547738693468,
"repo_name": "Reimilia/pdb_sth",
"id": "9b6c865e42e3f82090f9e5166b805ee27cbfac75",
"size": "1194",
"bina... |
import sys
import datetime as dt
from optparse import OptionParser
from bigdl.optim.optimizer import Adagrad
from zoo.common.nncontext import init_nncontext
from zoo.feature.text import TextSet
from zoo.models.textclassification import TextClassifier
if __name__ == "__main__":
parser = OptionParser()
parser.... | {
"content_hash": "83416b458c36b140683226318003ad27",
"timestamp": "",
"source": "github",
"line_count": 76,
"max_line_length": 98,
"avg_line_length": 52.56578947368421,
"alnum_prop": 0.6523153942428035,
"repo_name": "intel-analytics/analytics-zoo",
"id": "9baec7d45743f20ebab5ec90f0ffcfc6aef996c7",
... |
import boto3
from datetime import datetime
import json
from boto3.dynamodb.conditions import Key
from enum import Enum
from decimal import Decimal
from sns_boomerang.settings import util, TABLE_JOBS, TABLE_TOPICS
dynamo = boto3.resource('dynamodb')
sns_resource = boto3.resource('sns')
sns_client = boto3.client('sns')... | {
"content_hash": "fe3a0847049200abcd60b7f0629c559e",
"timestamp": "",
"source": "github",
"line_count": 199,
"max_line_length": 110,
"avg_line_length": 30.231155778894472,
"alnum_prop": 0.555186170212766,
"repo_name": "zdjohn/sns-boomerang",
"id": "99bb3f9e91a2b5ae3913af2b43c78b8bbb92da2a",
"size":... |
import sys
from oauth2client.client import OAuth2Credentials
from printapp import app, mongo, oauthcredentials
def add_fake_credentials(email, hasprinter=True):
token = 'fakeoauth.py|noprinter'
if hasprinter:
token = 'fakeoauth.py'
credentials = OAuth2Credentials(token, token, token,
... | {
"content_hash": "43cc461a83439828f749ac907c124522",
"timestamp": "",
"source": "github",
"line_count": 40,
"max_line_length": 71,
"avg_line_length": 31.225,
"alnum_prop": 0.5836669335468375,
"repo_name": "jglamine/calvinwebprint",
"id": "f2feb704062b30414f527c549314793693eea985",
"size": "1396",
... |
r"""Implements the general form of the loss.
This is the simplest way of using this loss. No parameters will be tuned
automatically, it's just a simple function that takes in parameters (likely
hand-tuned ones) and return a loss. For an adaptive loss, look at adaptive.py
or distribution.py.
"""
import jax
import jax.... | {
"content_hash": "561ff7b9ecd562fb6d95c90d740552b6",
"timestamp": "",
"source": "github",
"line_count": 87,
"max_line_length": 79,
"avg_line_length": 38.02298850574713,
"alnum_prop": 0.6635429262394196,
"repo_name": "google-research/google-research",
"id": "5e34a953cde5d316a917e6da26f4b229f0d3724b",
... |
__version__='''$Id$'''
__doc__="""most basic test possible that makes a PDF.
Useful if you want to test that a really minimal PDF is healthy,
since the output is about the smallest thing we can make."""
from reportlab.lib.testutils import setOutDir,makeSuiteForClasses, outputfile, printLocation
setOutDir(__name__)
imp... | {
"content_hash": "471a494b1d3581f37e03a21c17aed0a8",
"timestamp": "",
"source": "github",
"line_count": 45,
"max_line_length": 144,
"avg_line_length": 33.91111111111111,
"alnum_prop": 0.6513761467889908,
"repo_name": "makinacorpus/reportlab-ecomobile",
"id": "27b5f038205ba7385dcfe8153bcb5a9d6cab0f86"... |
"""
Traceplot rank_vlines Bokeh
===========================
_thumb: .1, .8
"""
import arviz as az
data = az.load_arviz_data("non_centered_eight")
ax = az.plot_trace(data, var_names=("tau", "mu"), kind="rank_vlines", backend="bokeh")
| {
"content_hash": "0abe6b19b1a91f8b621747f404ae83f6",
"timestamp": "",
"source": "github",
"line_count": 10,
"max_line_length": 86,
"avg_line_length": 23.5,
"alnum_prop": 0.5829787234042553,
"repo_name": "mcmcplotlib/mcmcplotlib",
"id": "274e5b205d806f62cbab28518e0701c3e8210d9e",
"size": "235",
"b... |
import math
import Pyro4, time, psutil
import random
#import sqlite3 as sqlite
#import datetime as dt
#perhaps needs to be set somewhere else
Pyro4.config.HMAC_KEY='pRivAt3Key'
#lists for return
stressValues = []
runStartTimeList= []
runDurations = []
MALLOC_LIMIT = 4095
import sys
from Library impor... | {
"content_hash": "49bb2023432b53776ab2c6fb486ff70e",
"timestamp": "",
"source": "github",
"line_count": 126,
"max_line_length": 619,
"avg_line_length": 50.23809523809524,
"alnum_prop": 0.6797788309636651,
"repo_name": "cragusa/cocoma",
"id": "67c3fd052a5776a796fd85958dfb5ed7c2717c35",
"size": "7043... |
"""Classes for representing collections for the Google Cloud Firestore API."""
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.cloud.firestore_v1.base_collection import (
BaseCollectionReference,
_item_to_document_ref,
)
from google.cloud.firestore_v1 import (
... | {
"content_hash": "2f78c53961a8c135852e21fb024779bf",
"timestamp": "",
"source": "github",
"line_count": 228,
"max_line_length": 95,
"avg_line_length": 39.723684210526315,
"alnum_prop": 0.6242685215855139,
"repo_name": "googleapis/python-firestore",
"id": "52847a3dcf0fcf4961b94a8815eb5a8a2c6872e3",
... |
from utils.dockerutil import DockerUtil
from utils.service_discovery.config_stores import get_config_store, SD_CONFIG_BACKENDS
def sd_configcheck(agentConfig, configs):
"""Trace how the configuration objects are loaded and from where.
Also print containers detected by the agent and templates from the conf... | {
"content_hash": "9122556531c182dd29e8a35c70fbf07c",
"timestamp": "",
"source": "github",
"line_count": 54,
"max_line_length": 101,
"avg_line_length": 38.31481481481482,
"alnum_prop": 0.6022232962783953,
"repo_name": "pmav99/praktoras",
"id": "60b4ba3ec56ada83112b532d770d0429c0de03e6",
"size": "222... |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0005_auto_20170507_2026'),
]
operations = [
migrations.AlterField(
model_name='post',
name='click_count',
... | {
"content_hash": "3328c93e0814eb48dcbb6928aac5e30a",
"timestamp": "",
"source": "github",
"line_count": 18,
"max_line_length": 78,
"avg_line_length": 22.555555555555557,
"alnum_prop": 0.603448275862069,
"repo_name": "r26zhao/django_blog",
"id": "c14c8e32c047b9c9fd19759ada4df849926576bc",
"size": "4... |
"""A file interface for handling local and remote data files.
The goal of datasource is to abstract some of the file system operations when
dealing with data files so the researcher doesn't have to know all the
low-level details. Through datasource, a researcher can obtain and use a
file with one function call, regard... | {
"content_hash": "d2d0a34ac750c7ee2bdf5d810dfd5118",
"timestamp": "",
"source": "github",
"line_count": 636,
"max_line_length": 82,
"avg_line_length": 32.4496855345912,
"alnum_prop": 0.5845527667409632,
"repo_name": "NirBenTalLab/proorigami-cde-package",
"id": "957e7cb1827aec3c5476e95d40e47fc28f4b1c2... |
import optparse
import os
import shutil
import sys
from bridge_generator import BridgeGenerator
from interface_generator import InterfaceGenerator
from java_class import JavaClassLoader
from string import Template
from wrapper_generator import WrapperGenerator
# Classes list that have to generate bridge and wrap code... | {
"content_hash": "f98ffd74aa20fbd9e1d81585cbb557c6",
"timestamp": "",
"source": "github",
"line_count": 164,
"max_line_length": 79,
"avg_line_length": 35.94512195121951,
"alnum_prop": 0.6810856658184903,
"repo_name": "alex-zhang/crosswalk",
"id": "243615a0da462c7d69d22365394daec85b371628",
"size": ... |
from typing import Optional, Tuple
from enum import IntEnum
from ..tl.types import InputPeerUser, InputPeerChat, InputPeerChannel
class SessionState:
"""
Stores the information needed to fetch updates and about the current user.
* user_id: 64-bit number representing the user identifier.
* dc_id: 32-b... | {
"content_hash": "ecd6e3dc7555c4725b01928656bcbc2d",
"timestamp": "",
"source": "github",
"line_count": 195,
"max_line_length": 100,
"avg_line_length": 31.630769230769232,
"alnum_prop": 0.60068093385214,
"repo_name": "LonamiWebs/Telethon",
"id": "5025dd3883e48ff1a5b6c44564743b0577f0d3d2",
"size": "... |
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import requests
from tensorflow.python.framework import ops
ops.reset_default_graph()
# Create graph
sess = tf.Session()
# Load the data
housing_url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'
housing_hea... | {
"content_hash": "1c4de6915d5a6a456a6aa791aaa62362",
"timestamp": "",
"source": "github",
"line_count": 87,
"max_line_length": 122,
"avg_line_length": 41.28735632183908,
"alnum_prop": 0.6801224944320713,
"repo_name": "benjaminoh1/tensorflowcookbook",
"id": "2d0f53770bb33dbff10fcf879e63c56f0d579531",
... |
from django.urls import path, reverse_lazy
import django.contrib.auth.views as auth_views
urlpatterns = [
path('login/', auth_views.LoginView.as_view(), name='login'),
path('logout/', auth_views.LogoutView.as_view(next_page=reverse_lazy('login')), name='logout'),
]
| {
"content_hash": "040e18172f20fcf29e32859fc2206c04",
"timestamp": "",
"source": "github",
"line_count": 8,
"max_line_length": 99,
"avg_line_length": 34.5,
"alnum_prop": 0.7101449275362319,
"repo_name": "mjtamlyn/archery-scoring",
"id": "f955400a1546bb5ee3d01424ad4fb74448e5f29c",
"size": "276",
"b... |
import re
from functools import reduce
from pyparsing import (
infixNotation,
opAssoc,
Optional,
Literal,
CharsNotIn,
ParseException,
)
from logging import Filter, _levelNames
import six
from django.apps import apps
from django.db import models
from django.conf import settings
from awx.main.u... | {
"content_hash": "f859206293c821267c817f6df3f990ca",
"timestamp": "",
"source": "github",
"line_count": 336,
"max_line_length": 117,
"avg_line_length": 32.75595238095238,
"alnum_prop": 0.5288933309104125,
"repo_name": "wwitzel3/awx",
"id": "eaf8c805b6c26c68966198a5c0931470c378db8e",
"size": "11006"... |
from collections import namedtuple
# just a helper
ClampMethod = namedtuple('ClampMethod', 'name returntype argtypes throws '
'method_annotations parameter_annotations')
| {
"content_hash": "ca4fa27c8ee7aec7aefec1a590aa5853",
"timestamp": "",
"source": "github",
"line_count": 5,
"max_line_length": 74,
"avg_line_length": 39.2,
"alnum_prop": 0.7091836734693877,
"repo_name": "alvin319/CarnotKE",
"id": "202c11aeb3b3a65bd10d510e720eb0324267a3f3",
"size": "196",
"binary":... |
import paramiko
class GetAixData:
def __init__(self, ip, ssh_port, timeout, usr, pwd, use_key_file, key_file,
get_serial_info, get_hardware_info, get_os_details,
get_cpu_info, get_memory_info, ignore_domain, upload_ipv6, debug):
self.machine_name = ip
self... | {
"content_hash": "fd669872b04d46035e3643af4b9c01d2",
"timestamp": "",
"source": "github",
"line_count": 174,
"max_line_length": 106,
"avg_line_length": 41.61494252873563,
"alnum_prop": 0.44966164894351607,
"repo_name": "device42/nix_bsd_mac_inventory",
"id": "55f5edb4d0a5833362bc8fb578fdeb7fc3db1e61"... |
import os
from datetime import datetime
import json
directory = r'C:\Source\hq\data\supervisor_export_all_08-08-2009\export\BRAC\CHW\commcare\input'
out_directory = r'C:\Source\hq\data\supervisor_export_all_08-08-2009\brac-pf'
domain = "BRAC"
#domain = "Pathfinder"
files = os.listdir(directory)
count = 0
for file i... | {
"content_hash": "8fe06c5be0592edde8517886da1f44ce",
"timestamp": "",
"source": "github",
"line_count": 40,
"max_line_length": 96,
"avg_line_length": 35.875,
"alnum_prop": 0.5860627177700348,
"repo_name": "fredwilliam/PMO",
"id": "26710028aaa2812ef0ada3c39f8b6f2d855dc287",
"size": "1481",
"binary... |
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: release-1.25
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kubernete... | {
"content_hash": "54d741c474fee396ee07b124d69fcfcf",
"timestamp": "",
"source": "github",
"line_count": 206,
"max_line_length": 197,
"avg_line_length": 32.179611650485434,
"alnum_prop": 0.6014481822295972,
"repo_name": "kubernetes-client/python",
"id": "cbdefa1c3bfc4934a8da74fecaaa118fd8d41c0c",
"s... |
from HTMLParser import HTMLParser
import os
from sgmllib import SGMLParser
import urlparse
__author__ = 'Kelvin'
import urllib2
class FileDownloader(object):
def __init__(self, file_url, save_path='./', min_size=0):
self.url = file_url
self.save_path = save_path
self.min_size = min_size
... | {
"content_hash": "b01f34123d50449bb6f6898edda8c9d7",
"timestamp": "",
"source": "github",
"line_count": 139,
"max_line_length": 104,
"avg_line_length": 28.25179856115108,
"alnum_prop": 0.5215176979882862,
"repo_name": "seawaywen/memodir_skels",
"id": "8cb084532bdfa352ca1b766b0a5b6492b2837781",
"siz... |
import logging
import json
from logging import StreamHandler, Formatter
from ethereum.utils import bcolors, isnumeric
DEFAULT_LOGLEVEL = 'INFO'
JSON_FORMAT = '%(message)s'
PRINT_FORMAT = '%(levelname)s:%(name)s\t%(message)s'
TRACE = 5
known_loggers = set()
log_listeners = []
# add level trace into logging
def ... | {
"content_hash": "bab1e77ab004fe3d0f4100aa6da1c247",
"timestamp": "",
"source": "github",
"line_count": 244,
"max_line_length": 93,
"avg_line_length": 29.60655737704918,
"alnum_prop": 0.618078626799557,
"repo_name": "vaporry/pyethereum",
"id": "eb9d59c324ab8fbe42fdea67a4cb82e51f1a2b8b",
"size": "72... |
{
'(Recipient)': '(Empfänger)',
"'Cancel' will indicate an asset log entry did not occur": "'Abbrechen' zeigt an, dass ein Asset Log Eintrag nicht eingetreten ist",
"A location that specifies the geographic area for this region. This can be a location from the location hierarchy, or a 'group location', or a location th... | {
"content_hash": "bf7be0dd8934886aa9a5f6350cc048a4",
"timestamp": "",
"source": "github",
"line_count": 4712,
"max_line_length": 931,
"avg_line_length": 60.47453310696095,
"alnum_prop": 0.7668797989865102,
"repo_name": "raj454raj/eden",
"id": "c092b5aecbe20aa85b08b397344eb999320180f9",
"size": "287... |
from bluesky.plans import rel_scan
from bluesky.callbacks import LiveTable, LivePlot
subs = [LiveTable(['diff_xh', 'xray_eye2_stats1_total', 'xray_eye2_stats2_total']),
LivePlot('xray_eye2_stats1_total', 'diff_xh')]
print ( ' Motor is diff.xh, camera is xray_eye2')
RE(rel_scan([xray_eye2], diff.xh, -.1, .1, ... | {
"content_hash": "3e083b320280f1f20cb2e4f60a250f06",
"timestamp": "",
"source": "github",
"line_count": 8,
"max_line_length": 84,
"avg_line_length": 41.25,
"alnum_prop": 0.6848484848484848,
"repo_name": "NSLS-II-CHX/ipython_ophyd",
"id": "98f0d2260581707d7959a4879f56ccc58e4d174c",
"size": "331",
... |
from typing import Any, AsyncIterable, Callable, Dict, Optional, TypeVar, Union
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineRes... | {
"content_hash": "88960b0ec20972c028c9d0eb9268d673",
"timestamp": "",
"source": "github",
"line_count": 372,
"max_line_length": 227,
"avg_line_length": 42.704301075268816,
"alnum_prop": 0.6347098073775651,
"repo_name": "Azure/azure-sdk-for-python",
"id": "a231f467725ed28a9fe927d2c9ce28b2030334f4",
... |
from codecs import open # To use a consistent encoding
from os import path
from setuptools import setup
HERE = path.dirname(path.abspath(__file__))
# Get version info
ABOUT = {}
with open(path.join(HERE, 'datadog_checks', 'hikaricp', '__about__.py')) as f:
exec(f.read(), ABOUT)
# Get the long description from ... | {
"content_hash": "5f5db4fdd70b2e9a595d749e69fba72d",
"timestamp": "",
"source": "github",
"line_count": 75,
"max_line_length": 81,
"avg_line_length": 30.266666666666666,
"alnum_prop": 0.652863436123348,
"repo_name": "DataDog/integrations-extras",
"id": "ef0720dec0e65bdcdda056c2c2ec87b7d6dccf8a",
"s... |
"""
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | {
"content_hash": "2f9031c1426dc577c5e5f0a51dc79b72",
"timestamp": "",
"source": "github",
"line_count": 66,
"max_line_length": 78,
"avg_line_length": 36.31818181818182,
"alnum_prop": 0.7108886107634543,
"repo_name": "xyguo/scikit-learn",
"id": "d9c2b570336a7d24c41e66daf2d05e181a2e9b65",
"size": "23... |
import datetime
import hashlib
import sys
from contextlib import closing
from urllib2 import urlopen
from south.db import db
from south.logger import get_logger
from south.v2 import DataMigration
from django.db import models
from django.conf import settings
logger = get_logger()
class Migration(DataMigration):
@... | {
"content_hash": "0c9ce79d2b60aec3f3f3b2abad3efa47",
"timestamp": "",
"source": "github",
"line_count": 314,
"max_line_length": 182,
"avg_line_length": 66.37898089171975,
"alnum_prop": 0.5431079978889796,
"repo_name": "iiman/mytardis",
"id": "f28f8e610c078b432b9f2273a6abfb0804afb886",
"size": "2086... |
"""
A pure-Python PDF library with an increasing number of capabilities.
See README for links to FAQ, documentation, homepage, etc.
"""
__author__ = "Mathieu Fenniak"
__author_email__ = "biziqe@mathieu.fenniak.net"
__maintainer__ = "Phaseit, Inc."
__maintainer_email = "PyPDF2@phaseit.net"
import string
import math
i... | {
"content_hash": "a0c8189559966a46e9c05b1f5e98a3f8",
"timestamp": "",
"source": "github",
"line_count": 2971,
"max_line_length": 137,
"avg_line_length": 41.97542914843487,
"alnum_prop": 0.5595025218709155,
"repo_name": "Ashaba/rms",
"id": "9979414ff021c6bcfc9839e9f1575f3ffff8ecba",
"size": "126327"... |
"""Example script to create a exe of the breakout example using py2exe.
"""
__version__ = "$Id:$"
__docformat__ = "reStructuredText"
import os
from distutils.core import setup
import py2exe
import pymunk
# Fix to make py2exe include some dlls it needs but doesnt include by default.
origIsSystemDLL = py2exe.build_exe... | {
"content_hash": "27eab9438ab00a787e95a2d5f989f0ff",
"timestamp": "",
"source": "github",
"line_count": 31,
"max_line_length": 98,
"avg_line_length": 31.225806451612904,
"alnum_prop": 0.7004132231404959,
"repo_name": "saintdragon2/python-3-lecture-2015",
"id": "903f0c250f1d9a7c30367c76f93d80abb6e0c50... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.