xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

fdbd68dd1e0a0ba0978c1bd0880d05f492ec5829

3,063

py

Python

fluentcms_bootstrap_grid/content_plugins.py

edoburu/fluentcms-bootstrap-grid

67a8255e34e22284eeb05c04517671311305d370

[ "Apache-2.0" ]

null

fluentcms_bootstrap_grid/content_plugins.py

edoburu/fluentcms-bootstrap-grid

67a8255e34e22284eeb05c04517671311305d370

[ "Apache-2.0" ]

null

fluentcms_bootstrap_grid/content_plugins.py

edoburu/fluentcms-bootstrap-grid

67a8255e34e22284eeb05c04517671311305d370

[ "Apache-2.0" ]

null

from django import forms from django.utils.encoding import force_text from django.utils.translation import pgettext, ugettext_lazy as _ from fluent_contents.extensions import ContainerPlugin, plugin_pool, ContentItemForm from . import appsettings from .models import BootstrapRow, BootstrapColumn GRID_COLUMNS = appset...

32.935484

90

0.642507

347

3,063

5.340058

0.268012

0.053427

0.071236

0.041015

0.229358

0.065839

0.025904

0

0.003777

0.222005

3,063

92

91

33.293478

0.773815

0.019915

0

0.029851

0

0.184371

0.038566

0

1

0.029851

false

0

0.089552

0

0.328358

0

null

0

null

0

1

0

fdbd9c9ab6b561ed49a22efac24abb031c9653d8

8,083

py

Python

study.py

Yougeeg/zhihuiguo

21cfa4210b011e0fbc200774b88e570d21e30ab2

[ "MIT" ]

null

study.py

Yougeeg/zhihuiguo

21cfa4210b011e0fbc200774b88e570d21e30ab2

[ "MIT" ]

null

study.py

Yougeeg/zhihuiguo

21cfa4210b011e0fbc200774b88e570d21e30ab2

[ "MIT" ]

2

2017-11-04T08:46:04.000Z

2018-09-12T08:16:44.000Z

import logging import json from datetime import datetime, timedelta from getpass import getpass import uuid import requests from Cryptodome.PublicKey import RSA import utils NONE, SIGN, TICKET = 0, 1, 2 SERVER = 'https://appstudentapi.zhihuishu.com' SSL_VERIFY = True TAKE_EXAMS = True SKIP_FINAL_EXAM = False EXAM_AU...

39.237864

117

0.588767

974

8,083

4.756674

0.26694

0.032376

0.025901

0.020505

0.154328

0.137492

0.116339

0.092597

0.06281

0.045111

0

0.008547

0.247309

8,083

205

118

39.429268

0.752959

0.005444

0

0.091429

0

0.005714

0.243405

0.051269

0

0.005714

1

0.017143

false

0.022857

0.057143

0

0.097143

0

null

0

null

0

1

0

fdc0b230d2a0f01f084eb9ceb1e8ca8a841fb58f

1,440

py

Python

python/controllers/ner_annotation_api.py

barkavi87/anuvaad-corpus

9ea832f4228f61a7d4998205976629ea4b7c3d70

[ "MIT" ]

2

2019-12-20T08:58:10.000Z

2020-05-15T14:17:43.000Z

python/controllers/ner_annotation_api.py

barkavi87/anuvaad-corpus

9ea832f4228f61a7d4998205976629ea4b7c3d70

[ "MIT" ]

73

2019-08-12T16:17:33.000Z

2022-01-13T01:24:38.000Z

python/controllers/ner_annotation_api.py

barkavi87/anuvaad-corpus

9ea832f4228f61a7d4998205976629ea4b7c3d70

[ "MIT" ]

1

2020-08-24T09:51:46.000Z

import os import urllib.request from flask import Flask, request, redirect, render_template, jsonify from flask import Blueprint, request, current_app as app from controllers.sc_judgment_header_ner_eval import SC_ner_annotation import json from models.response import CustomResponse from models.status import Status ner_...

43.636364

107

0.702083

190

1,440

5.036842

0.378947

0.058516

0.045977

0.062696

0.15256

0

0.002613

0.202778

1,440

32

108

45

0.83101

0

0.068966

0

0.121612

0.057679

0

1

0.034483

false

0

0.275862

0

0.413793

0.068966

0

null

0

null

0

1

0

fdc1c97e35e98b3788187bd4a1997c5b2842cc3b

4,594

py

Python

HandGenerator/HandGenerator.py

VASST/SlicerLeapMotion

d20215fb657eb5c972d1fe380bdf2d0479796c93

[ "MIT" ]

null

HandGenerator/HandGenerator.py

VASST/SlicerLeapMotion

d20215fb657eb5c972d1fe380bdf2d0479796c93

[ "MIT" ]

2

2019-09-06T16:06:20.000Z

2020-02-16T17:15:28.000Z

HandGenerator/HandGenerator.py

VASST/SlicerLeapMotion

d20215fb657eb5c972d1fe380bdf2d0479796c93

[ "MIT" ]

1

2020-01-14T17:49:31.000Z

import sys import os import unittest import vtk, qt, ctk, slicer from slicer.ScriptedLoadableModule import * import logging import numpy as np # # HandGenerator # class HandGenerator(ScriptedLoadableModule): def __init__(self, parent): ScriptedLoadableModule.__init__(self, parent) self.parent.title = "Hand ...

38.932203

233

0.680888

503

4,594

6.178926

0.377734

0.027027

0.050193

0.053089

0.156692

0.04955

0.014157

0

0.00835

0.217893

4,594

118

234

38.932203

0.856666

0.055943

0

0.186813

0

0.010989

0.140712

0.012015

0

0.008475

0

1

0.054945

false

0

0.076923

0

0.153846

0

null

0

null

0

1

0

fdc3fc24cea107cba4ab6159b29d6bd76397bdc9

434

py

Python

Pratical/Class02/metodo_da_bissecao.py

JoaoCostaIFG/MNUM

6e042d8a6f64feb9eae9c79afec2fbab51f46fbd

[ "MIT" ]

1

2019-12-07T10:34:30.000Z

Pratical/Class02/metodo_da_bissecao.py

JoaoCostaIFG/MNUM

6e042d8a6f64feb9eae9c79afec2fbab51f46fbd

[ "MIT" ]

null

Pratical/Class02/metodo_da_bissecao.py

JoaoCostaIFG/MNUM

6e042d8a6f64feb9eae9c79afec2fbab51f46fbd

[ "MIT" ]

null

#!/usr/bin/env python3 # Pesquisa binaria # Read num = int(input("Number to find the sqrt of? ")) index = 0 step = num / 2 prox = True while abs(index * index - num) > 1e-10: if (prox): index += step else: index -= step step = step / 2 if (index * index) < num: prox = True ...

17.36

82

0.534562

59

434

3.932203

0.559322

0.068966

0.112069

0

0.026846

0.313364

434

24

83

18.083333

0.751678

0.099078

0

0.266667

0

0.160207

0

1

0

false

0

0.066667

0

null

0

null

0

1

0

fdc4efcf38d739230cb577df9971b45dd3d12756

2,625

py

Python

final/NerualNetworks/utils/MakeData.py

XuYi-fei/HUST-EIC-MathematicalModeling

73797bdba17d4f759be3a39603b42be081a98e5c

[ "MIT" ]

1

2021-05-04T12:29:21.000Z

final/NerualNetworks/utils/MakeData.py

XuYi-fei/HUST-EIC-MathematicalModeling

73797bdba17d4f759be3a39603b42be081a98e5c

[ "MIT" ]

null

final/NerualNetworks/utils/MakeData.py

XuYi-fei/HUST-EIC-MathematicalModeling

73797bdba17d4f759be3a39603b42be081a98e5c

[ "MIT" ]

null

import pandas as pd import os import random class MakeDataset(): def __init__(self, known=30, predict=7, ratio=0.4, path=None): # ratio means the valid/(train + valid) assert path is not None, "The path is invalid" self.df = pd.read_excel(path) self.columns = self.df.columns ...

34.090909

196

0.55619

313

2,625

4.549521

0.290735

0.119382

0.067416

0.089888

0.260534

0.219803

0.135534

0.081461

0

0.015917

0.305905

2,625

76

197

34.539474

0.765642

0.063238

0

0.109091

0

0.018182

0.077143

0.048163

0

0.018182

1

0.054545

false

0

0.054545

0

0.163636

0

null

0

null

0

1

0

fdc5979ebdcfef679c432bdc3659a7c209d59706

326

py

Python

chapter06/example612.py

yozw/lio-files

e036bc868207ec045a804495fc40cf3a48e37d6d

[ "MIT" ]

null

chapter06/example612.py

yozw/lio-files

e036bc868207ec045a804495fc40cf3a48e37d6d

[ "MIT" ]

null

chapter06/example612.py

yozw/lio-files

e036bc868207ec045a804495fc40cf3a48e37d6d

[ "MIT" ]

null

from math import sqrt from numpy import matrix from intpm import intpm A = matrix([[1, 0, 1, 0], [0, 1, 0, 1]]) b = matrix([1, 1]).T c = matrix([-1, -2, 0, 0]).T mu = 100 x1 = 0.5 * (-2 * mu + 1 + sqrt(1 + 4*mu*mu)) x2 = 0.5 * (-mu + 1 + sqrt(1 + mu * mu)) x0 = matrix([x1, x2, 1 - x1, 1 - x2]).T intpm(A, b, c, x0, ...

18.111111

44

0.509202

71

326

2.338028

0.295775

0.126506

0.036145

0.096386

0

0.151639

0.251534

326

17

45

19.176471

0.528689

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

fdcf6f1f635a8225a76ad32f552e3db603ad1c14

2,369

py

Python

jobs/api/models/keyword.py

gitdaniel228/jobSearch

5dc1c69a3750f92ca0bcd378dfdc500143204a5a

[ "MIT" ]

null

jobs/api/models/keyword.py

gitdaniel228/jobSearch

5dc1c69a3750f92ca0bcd378dfdc500143204a5a

[ "MIT" ]

null

jobs/api/models/keyword.py

gitdaniel228/jobSearch

5dc1c69a3750f92ca0bcd378dfdc500143204a5a

[ "MIT" ]

null

from django.db import models from django.contrib import admin from .country import Country from .filter import Filter from .setting import Setting from .site import Site class Keyword(models.Model): site = models.ForeignKey('Site') phrase = models.CharField(max_length=50) feed_url = models.CharField( ...

31.171053

78

0.594344

287

2,369

4.787456

0.393728

0.026201

0.050946

0.041485

0.050218

0

0.006448

0.279865

2,369

75

79

31.586667

0.798945

0.027016

0

0.096564

0

1

0.051724

false

0

0.103448

0.017241

0.396552

0

null

0

null

0

1

0

fdd4d7c9ea8afe2d857b858645122b0c43587a2f

4,262

py

Python

test/units/plugins/inventory/test_script.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

37

2017-08-15T15:02:43.000Z

2021-07-23T03:44:31.000Z

test/units/plugins/inventory/test_script.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

12

2018-01-10T05:25:25.000Z

2021-11-28T06:55:48.000Z

test/units/plugins/inventory/test_script.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

49

2017-08-15T09:52:13.000Z

2022-03-21T17:11:54.000Z

# -*- coding: utf-8 -*- # Copyright 2017 Chris Meyers <cmeyers@ansible.com> # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (...

40.207547

135

0.680432

543

4,262

5.209945

0.355433

0.038176

0.04772

0.03959

0.337575

0.30046

0.270767

0

0.00455

0.22642

4,262

105

136

40.590476

0.853503

0.169873

0

0.222222

0

0.184712

0.019892

0

0.063492

1

0.111111

false

0

0.126984

0.015873

0.31746

0.015873

0

null

0

null

0

1

0

fdda757521b551e07a7f4e98103818cc6dd32745

10,501

py

Python

asr_deepspeech/modules/deepspeech.py

shangdibufashi/ASRDeepSpeech

f11134abb79e98062fbc25fab99ca4cf675e538b

[ "MIT" ]

44

2020-03-03T13:05:57.000Z

2022-03-24T03:42:31.000Z

asr_deepspeech/modules/deepspeech.py

shangdibufashi/ASRDeepSpeech

f11134abb79e98062fbc25fab99ca4cf675e538b

[ "MIT" ]

6

2020-12-15T10:58:19.000Z

2021-10-12T01:59:17.000Z

asr_deepspeech/modules/deepspeech.py

shangdibufashi/ASRDeepSpeech

f11134abb79e98062fbc25fab99ca4cf675e538b

[ "MIT" ]

13

2020-05-20T06:42:20.000Z

2022-03-24T03:42:31.000Z

import math from collections import OrderedDict import json from asr_deepspeech.decoders import GreedyDecoder import os from ascii_graph import Pyasciigraph from asr_deepspeech.data.loaders import AudioDataLoader from asr_deepspeech.data.samplers import BucketingSampler from .blocks import * from asr_deepspeech.data.da...

42.172691

119

0.517475

1,156

10,501

4.500865

0.224048

0.018835

0.022487

0.022871

0.12858

0.081299

0.065539

0.060734

0

0.023349

0.380059

10,501

248

120

42.342742

0.775883

0.050186

0

0.037209

0

0.034378

0.0124

0

0.009302

1

0.027907

false

0.004651

0.055814

0

0.106977

0.009302

0

null

0

null

0

1

0

fddb0cd219604b7758190e6bb17c4dc60b79a754

1,099

py

Python

Scripts/simulation/ensemble/ensemble_interactions.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/ensemble/ensemble_interactions.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/ensemble/ensemble_interactions.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

# uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Server\ensemble\ensemble_interactions.py # Compiled at: 2016-07-13 03:28:12 # Size of source mod 2**32: 107...

37.896552

107

0.724295

147

1,099

5.244898

0.632653

0.007782

0.035019

0

0.073415

0.181984

1,099

29

108

37.896552

0.784205

0.286624

0

0.012853

0

1

0.166667

false

0

0.111111

0.055556

0.5

0

null

0

null

0

1

0

fddc8823ffb3b416234d50c4b32a14d5668ecba6

1,663

py

Python

icmpv6socket/__init__.py

TheDiveO/icmpv6-socket

fe3ee52e6793e3739975aea87e2b6511be96fa12

[ "Apache-2.0" ]

null

icmpv6socket/__init__.py

TheDiveO/icmpv6-socket

fe3ee52e6793e3739975aea87e2b6511be96fa12

[ "Apache-2.0" ]

null

icmpv6socket/__init__.py

TheDiveO/icmpv6-socket

fe3ee52e6793e3739975aea87e2b6511be96fa12

[ "Apache-2.0" ]

null

import socket from typing import Optional, List __version__ = '0.1.0' class ICMPv6Socket(socket.socket): # From https://elixir.bootlin.com/linux/v4.18/source/include/linux/socket.h#L312 SOL_ICMPV6 = 58 # type: int # From https://elixir.bootlin.com/linux/v4.18/source/include/uapi/linux/icmpv6.h#L139 ...

36.955556

89

0.615755

217

1,663

4.529954

0.465438

0.085453

0.056968

0.044761

0.144456

0.095626

0

0.042017

0.284426

1,663

44

90

37.795455

0.784034

0.387252

0

0.01357

0

1

0.095238

false

0

0.095238

0

0.428571

0

null

0

null

0

1

0

fddd39b69360c06e6b24844fb2887dcd6cf29f89

603

py

Python

game/pkchess/res/map.py

RaenonX/Jelly-Bot-API

c7da1e91783dce3a2b71b955b3a22b68db9056cf

[ "MIT" ]

5

2020-08-26T20:12:00.000Z

2020-12-11T16:39:22.000Z

game/pkchess/res/map.py

RaenonX/Jelly-Bot

c7da1e91783dce3a2b71b955b3a22b68db9056cf

[ "MIT" ]

234

2019-12-14T03:45:19.000Z

2020-08-26T18:55:19.000Z

game/pkchess/res/map.py

RaenonX/Jelly-Bot-API

c7da1e91783dce3a2b71b955b3a22b68db9056cf

[ "MIT" ]

2

2019-10-23T15:21:15.000Z

2020-05-22T09:35:55.000Z

"""Game map resource manager.""" __all__ = ("get_map_template",) _cache = {} def get_map_template(name: str): """ Get a map template by its ``name``. Returns ``None`` if not found. Loaded :class:`MapTemplate` will be cached until the application exits. :param name: name of the map template. ...

24.12

81

0.658375

82

603

4.670732

0.54878

0.143603

0.073107

0

0.228856

603

24

82

25.125

0.823656

0.475954

0

0.154122

0.096774

0

1

0.142857

false

0

0.142857

0

0.428571

0

null

0

null

0

1

0

fddd8f9fba011d6c4a116c9eb70ffe36d73e109e

7,127

py

Python

public_data/views.py

danamlewis/open-humans

9b08310cf151f49032b66ddd005bbd47d466cc4e

[ "MIT" ]

57

2016-09-01T21:55:52.000Z

2022-03-27T22:15:32.000Z

public_data/views.py

danamlewis/open-humans

9b08310cf151f49032b66ddd005bbd47d466cc4e

[ "MIT" ]

464

2015-03-23T18:08:28.000Z

2016-08-25T04:57:36.000Z

public_data/views.py

danamlewis/open-humans

9b08310cf151f49032b66ddd005bbd47d466cc4e

[ "MIT" ]

25

2017-01-24T16:23:27.000Z

2021-11-07T01:51:42.000Z

from django.conf import settings from django.contrib import messages as django_messages from django.urls import reverse_lazy from django.utils.decorators import method_decorator from django.views.decorators.http import require_POST from django.views.generic.base import RedirectView, TemplateView from django.views.gener...

30.852814

88

0.638698

795

7,127

5.603774

0.25912

0.029181

0.020202

0.024691

0.205612

0.170819

0.148148

0.127048

0.104602

0

0.000192

0.268697

7,127

230

89

30.986957

0.854566

0.127543

0

0.173913

0

0.097211

0.019375

0

1

0.07971

false

0

0.094203

0.014493

0.405797

0

null

0

null

0

1

0

fde68e690db6e169850d5ee88a2ba6ad82e43a9a

853

py

Python

beyondtheadmin/invoices/templatetags/fullurl.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

1

2021-11-27T06:40:34.000Z

beyondtheadmin/invoices/templatetags/fullurl.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

2

2021-05-13T04:50:50.000Z

2022-02-28T21:06:24.000Z

beyondtheadmin/invoices/templatetags/fullurl.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

null

import math from django import template from django.utils.safestring import mark_safe register = template.Library() @register.simple_tag(takes_context=True) def buildfullurl(context, url): """Converts relative URL to absolute. For example: {% buildfullurl article.get_absolute_url %} or: ...

26.65625

106

0.637749

101

853

5.277228

0.564356

0.045028

0.052533

0.06379

0.120075

0

0.005952

0.212192

853

31

107

27.516129

0.787202

0.16061

0

0.121916

0.087083

0

1

0.111111

false

0

0.166667

0

0.5

0

null

0

null

0

1

0

fde73e6cb304ab68d07ceb772b316e170a4014cb

967

py

Python

big_o_project/Task4.py

CTylerD/Data-Structures-Algorithms-Projects

e72248a6433c0242003edf404a715d9f53e3792d

[ "MIT" ]

null

big_o_project/Task4.py

CTylerD/Data-Structures-Algorithms-Projects

e72248a6433c0242003edf404a715d9f53e3792d

[ "MIT" ]

null

big_o_project/Task4.py

CTylerD/Data-Structures-Algorithms-Projects

e72248a6433c0242003edf404a715d9f53e3792d

[ "MIT" ]

null

import csv with open('texts.csv', 'r') as f: reader = csv.reader(f) texts = list(reader) with open('calls.csv', 'r') as f: reader = csv.reader(f) calls = list(reader) def create_lists_of_users(): outgoing_callers = set() not_telemarketers = set() for idx, call in enumerate(calls): ...

26.861111

69

0.709411

126

967

5.238095

0.349206

0.169697

0.086364

0.021212

0.187879

0.069697

0

0.005025

0.176836

967

35

70

27.628571

0.824121

0

0.08

0

0.061013

0

1

0.12

false

0

0.04

0

0.16

0

null

0

null

0

1

0

fde75eeec45ccf538859617be8047b6998c73dee

971

py

Python

codingstars/platinum3/subarray-sum2.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

codingstars/platinum3/subarray-sum2.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

codingstars/platinum3/subarray-sum2.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

""" [1,2,3,4]의 부분 배열은 다음과 같이 16개가 있습니다. [] [1] [1, 2] [1, 2, 3] [1, 2, 3, 4] [1, 2, 4] [1, 3] [1, 3, 4] [1, 4] [2] [2, 3] [2, 3, 4] [2, 4] [3] [3, 4] [4] 처음에 있는 blank list([])의 값을 0으로 계산하면 모든 부분 배열의 합(subarray sum)은 80입니다. 숫자로 된 배열을 입력 받아서, 부분 배열의 합을 구하여 보세요. Input 숫자로 된 배열이 입력됩니다. 숫자는 정수입니다. Output 부분 배열의 합을 출력합...

15.412698

93

0.582904

187

971

3.026738

0.540107

0.017668

0.015901

0.014134

0

0.078912

0.243048

971

63

94

15.412698

0.691156

0.687951

0

1

0.083333

false

0

0.166667

0.083333

0

null

0

null

0

1

0

fde7b9b224da23bd030fbd50ece0e5433d5c208e

1,683

py

Python

fastalite/__main__.py

nhoffman/fastalite

2571c126976f26c8ca06401586559f288245ca8d

[ "MIT" ]

2

2017-02-16T14:30:18.000Z

2019-10-03T19:20:57.000Z

fastalite/__main__.py

nhoffman/fastalite

2571c126976f26c8ca06401586559f288245ca8d

[ "MIT" ]

4

2017-06-30T14:05:08.000Z

2022-02-17T00:03:28.000Z

fastalite/__main__.py

nhoffman/fastalite

2571c126976f26c8ca06401586559f288245ca8d

[ "MIT" ]

null

"""Command line interface to the fastlite package """ import sys import argparse from .fastalite import fastalite, fastqlite, Opener from . import __version__ def count(seqs, fname): i = 1 for i, seq in enumerate(seqs, 1): pass print(('{}\t{}'.format(fname, i))) def names(seqs, fname): fo...

28.525424

67

0.572193

195

1,683

4.810256

0.45641

0.028785

0.03838

0.036247

0.092751

0.057569

0

0.004163

0.286393

1,683

58

68

29.017241

0.776853

0.027332

0

0.04878

0

0.120933

0.019644

0

1

0.097561

false

0.02439

0.097561

0

0.219512

0.073171

0

null

0

null

0

1

0

fdeb572c08b15704dfb038c3b7db65f44b06027a

9,482

py

Python

RpgPiratesAndFishers/Individual.py

LucasRR94/RPG_Pirates_and_Fishers

75bbb57e916f7a878de34676b1d988e5d2506121

[ "Apache-2.0" ]

null

RpgPiratesAndFishers/Individual.py

LucasRR94/RPG_Pirates_and_Fishers

75bbb57e916f7a878de34676b1d988e5d2506121

[ "Apache-2.0" ]

null

RpgPiratesAndFishers/Individual.py

LucasRR94/RPG_Pirates_and_Fishers

75bbb57e916f7a878de34676b1d988e5d2506121

[ "Apache-2.0" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- from libGamePiratesAndFishers import assertIfIsWeelFormat,makeSureThatIsnumberLimited class Individual(object): """ This class Define object type Individual, it is a base for object used for being the base of fishers, and is used for enemies in application. """ def ...

25.489247

341

0.665999

1,217

9,482

5.141331

0.143796

0.015183

0.019338

0.023014

0.491769

0.444622

0.413137

0.392201

0.358479

0.345693

0

0.021058

0.228749

9,482

372

342

25.489247

0.834541

0.420165

0

0.596591

0

0.084289

0.023318

0.005682

0

0.011364

1

0.085227

false

0

0.005682

0

0.244318

0.005682

0

null

0

null

0

1

0

fdedc1899cf1d0a458c3cd2aa54431d61028feb7

1,544

py

Python

08_apples_and_bananas/apples.py

FabrizioPe/tiny_python_projects

e130d55d36cac43496a8ad482b6159234b5122f3

[ "MIT" ]

null

08_apples_and_bananas/apples.py

FabrizioPe/tiny_python_projects

e130d55d36cac43496a8ad482b6159234b5122f3

[ "MIT" ]

null

08_apples_and_bananas/apples.py

FabrizioPe/tiny_python_projects

e130d55d36cac43496a8ad482b6159234b5122f3

[ "MIT" ]

null

#!/usr/bin/env python3 """ Author : FabrizioPe Date : 2021-02-10 Purpose: Find and replace vowels in a given text """ import argparse import os # -------------------------------------------------- def get_args(): """Get command-line arguments""" parser = argparse.ArgumentParser( description='Apple...

26.169492

72

0.483808

158

1,544

4.639241

0.525316

0.068213

0.046385

0

0.008249

0.293394

1,544

58

73

26.62069

0.663611

0.265544

0

0.066667

0

0.090909

0

1

0.066667

false

0

0.066667

0

0.166667

0.033333

0

null

0

null

0

1

0

fdedd48ecc2cd5713a5620f6663699573feeb1b9

1,434

py

Python

utils.py

gabrs-sousa/brasil-rugby-ranking

78b8f6b466e688f507cb9d97dbbb80442f3c67de

[ "MIT" ]

1

2020-05-30T03:34:31.000Z

utils.py

gabrs-sousa/brasil-rugby-ranking

78b8f6b466e688f507cb9d97dbbb80442f3c67de

[ "MIT" ]

null

utils.py

gabrs-sousa/brasil-rugby-ranking

78b8f6b466e688f507cb9d97dbbb80442f3c67de

[ "MIT" ]

null

import pandas as pd from openpyxl import worksheet def map_team_names(names_sheet: worksheet, games_sheet: worksheet): mapped_names = [] missing_names = set() names_last_row = names_sheet.max_row for row in range(1, names_last_row): team_name = names_sheet.cell(row, 1).value if team_...

28.117647

74

0.679916

204

1,434

4.52451

0.406863

0.087757

0.069339

0.078007

0.130011

0.078007

0

0.006335

0.229428

1,434

50

75

28.68

0.828959

0.058577

0

0.057895

0

1

0.090909

false

0

0.060606

0

0.242424

0.030303

0

null

0

null

0

1

0

fdee1b940008dee7fb0abcb8d4fb0eaf97c8d578

8,889

py

Python

mainapp/views.py

AHTOH2001/OOP_4_term

c9b0f64f3507486e0670cc95d7252862b673d845

[ "MIT" ]

null

mainapp/views.py

AHTOH2001/OOP_4_term

c9b0f64f3507486e0670cc95d7252862b673d845

[ "MIT" ]

null

mainapp/views.py

AHTOH2001/OOP_4_term

c9b0f64f3507486e0670cc95d7252862b673d845

[ "MIT" ]

null

from django.core.mail import send_mail from django.http import Http404 from django.shortcuts import render, redirect from django.contrib import messages from django.contrib.auth.models import User from django.utils.datastructures import MultiValueDictKeyError from django.utils import timezone from django.contrib.auth i...

39.15859

232

0.664867

1,013

8,889

5.698914

0.253702

0.029274

0.032912

0.021826

0.300537

0.241642

0.206478

0.170449

0.135805

0

0.00366

0.231522

8,889

226

233

39.331858

0.841458

0.081336

0

0.263804

0

0.01227

0.220845

0.02934

0

1

0.067485

false

0.01227

0.09816

0.018405

0.325153

0

null

0

null

0

1

0

fdef583937c7416dc3c1150c9fa7843d7266de92

1,941

py

Python

extra/old-fix-midroll.py

FrederikBanke/critrolesync.github.io

ca09fff7541014d81472d687e48ecd5587cc15ff

[ "MIT" ]

5

2020-06-29T13:39:07.000Z

2022-02-07T00:43:55.000Z

extra/old-fix-midroll.py

FrederikBanke/critrolesync.github.io

ca09fff7541014d81472d687e48ecd5587cc15ff

[ "MIT" ]

11

2020-06-28T09:45:38.000Z

2022-03-30T17:56:35.000Z

extra/old-fix-midroll.py

FrederikBanke/critrolesync.github.io

ca09fff7541014d81472d687e48ecd5587cc15ff

[ "MIT" ]

5

2020-06-29T21:17:13.000Z

2021-09-08T06:34:32.000Z

def str2sec(string): if len(string.split(':')) == 3: hours, mins, secs = map(int, string.split(':')) elif len(string.split(':')) == 2: mins, secs = map(int, string.split(':')) hours = 0 else: raise ValueError('string must have the form [hh:]mm:ss : ' + str(string)) second...

37.326923

98

0.548171

215

1,941

4.911628

0.413953

0.045455

0.036932

0.026515

0.191288

0.075758

0

0.034277

0.308604

1,941

51

99

38.058824

0.752608

0.106131

0

0.190476

0

0.189095

0

1

0.071429

false

0

0.119048

0.190476

0

null

0

null

0

1

0

fdf00539d71fcfd43067729f990a71a6b54c1f86

415

py

Python

102-neopixel.d/main.py

wa1tnr/cpx-basic-studies

772d38803bc2394980d81cea7873a4bc027dfb9f

[ "MIT" ]

null

102-neopixel.d/main.py

wa1tnr/cpx-basic-studies

772d38803bc2394980d81cea7873a4bc027dfb9f

[ "MIT" ]

null

102-neopixel.d/main.py

wa1tnr/cpx-basic-studies

772d38803bc2394980d81cea7873a4bc027dfb9f

[ "MIT" ]

null

# Adafruit CircuitPython 2.2.0 # Adafruit CircuitPlayground Express import board ; import neopixel; import time pixels = neopixel.NeoPixel(board.NEOPIXEL, 10, brightness=.2) pixels.fill((0,0,0)) pixels.show() def blue(): pixels.fill((0,0,22)) def magenta(): pixels.fill((22,0,22)) blue(); pixels.show(); t...

23.055556

61

0.684337

64

415

4.4375

0.359375

0.035211

0.116197

0.126761

0.161972

0

0.068681

0.122892

415

17

62

24.411765

0.711538

0.151807

0

1

0.181818

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

fdf306a6233eb15d853aa05d6d7553accacc2060

3,717

py

Python

harmoni_detectors/harmoni_stt/test/test_deepspeech.py

interaction-lab/HARMONI

9c88019601a983a1739744919a95247a997d3bb1

[ "MIT" ]

7

2020-09-02T06:31:21.000Z

2022-02-18T21:16:44.000Z

harmoni_detectors/harmoni_stt/test/test_deepspeech.py

micolspitale93/HARMONI

cf6a13fb85e3efb4e421dbfd4555359c0a04acaa

[ "MIT" ]

61

2020-05-15T16:46:32.000Z

2021-07-28T17:44:49.000Z

harmoni_detectors/harmoni_stt/test/test_deepspeech.py

micolspitale93/HARMONI

cf6a13fb85e3efb4e421dbfd4555359c0a04acaa

[ "MIT" ]

3

2020-10-05T23:01:29.000Z

2022-03-02T11:53:34.000Z

#!/usr/bin/env python3 # Common Imports import io import rospy import sys import unittest # Specific Imports import time import wave from harmoni_common_lib.action_client import HarmoniActionClient from harmoni_common_lib.constants import ActionType, DetectorNameSpace, SensorNameSpace, State from audio_common_msgs.m...

31.235294

107

0.65456

431

3,717

5.473318

0.338747

0.061043

0.033065

0.068673

0.117847

0.09114

0

0.004673

0.251547

3,717

118

108

31.5

0.843278

0.059995

0

0.068966

0

0.206768

0.041009

0

0.008475

0.011494

1

0.091954

false

0

0.126437

0

0.241379

0

null

0

null

0

1

0

fdf47c8f7eacc32cfd98b13ee0730f15d82165c5

2,196

py

Python

smoked/management/commands/smoked.py

martinsvoboda/django-smoked

42b64fff23a37e3df42f8fc54535ea496dd27d84

[ "MIT" ]

6

2015-01-14T12:02:58.000Z

2021-08-17T23:18:56.000Z

smoked/management/commands/smoked.py

martinsvoboda/django-smoked

42b64fff23a37e3df42f8fc54535ea496dd27d84

[ "MIT" ]

7

2015-01-24T11:36:07.000Z

2015-01-26T04:55:31.000Z

smoked/management/commands/smoked.py

martinsvoboda/django-smoked

42b64fff23a37e3df42f8fc54535ea496dd27d84

[ "MIT" ]

1

2015-01-25T20:48:06.000Z

# coding: utf-8 from __future__ import absolute_import, unicode_literals from optparse import make_option import time from django import VERSION from django.core.management.base import NoArgsCommand from smoked import default_registry from smoked.runner import run_tests stats_msg = """ Results ======= Total: {total}...

27.45

72

0.539617

243

2,196

4.786008

0.407407

0.042132

0.036114

0.048151

0.103181

0.061909

0

0.009635

0.338342

2,196

79

73

27.797468

0.790778

0.035064

0

0.109375

0

0.14279

0

1

0.03125

false

0

0.109375

0

0.203125

0

null

0

null

0

1

0

fdfa15c5c9e42a9b497c846a1dd12bc7ab7f4c76

623

py

Python

code/waldo/conf/guisettings.py

amarallab/waldo

e38d23d9474a0bcb7a94e685545edb0115b12af4

[ "MIT" ]

null

code/waldo/conf/guisettings.py

amarallab/waldo

e38d23d9474a0bcb7a94e685545edb0115b12af4

[ "MIT" ]

null

code/waldo/conf/guisettings.py

amarallab/waldo

e38d23d9474a0bcb7a94e685545edb0115b12af4

[ "MIT" ]

null

COLLIDER_SUITE_OFFSHOOT_RANGE = (0, 100) COLLIDER_SUITE_SPLIT_ABS_RANGE = (0, 10) COLLIDER_SUITE_SPLIT_REL_RANGE = (-1, 1, 2) COLLIDER_SUITE_ASSIMILATE_SIZE_RANGE = (0, 10) TAPE_FRAME_SEARCH_LIMIT_RANGE = (1, 100000) TAPE_PIXEL_SEARCH_LIMIT_RANGE = (1, 1000000) DEFAULT_CALIBRATION_ENCLOSURE_SIZE_RANGE = (0, 1000) COLL...

34.611111

52

0.781701

106

623

4.122642

0.40566

0.1373

0.048055

0.05492

0.084668

0.064073

0

0.117857

0.101124

623

18

53

34.611111

0.6625

0

1

0

false

0

null

0

null

0

1

0

fdfc80e749f6ee439afc826e7feee5425163a88f

1,237

py

Python

android_store_service/utils/config_utils.py

gpiress/android-store-service

da81c7e79a345d790f5e744fc8fdfae0e6941765

[ "Apache-2.0" ]

5

2020-12-10T14:05:04.000Z

2020-12-18T09:04:35.000Z

android_store_service/utils/config_utils.py

gpiress/android-store-service

da81c7e79a345d790f5e744fc8fdfae0e6941765

[ "Apache-2.0" ]

4

2020-12-15T12:34:51.000Z

2021-06-28T14:04:34.000Z

android_store_service/utils/config_utils.py

gpiress/android-store-service

da81c7e79a345d790f5e744fc8fdfae0e6941765

[ "Apache-2.0" ]

5

2020-12-15T12:10:22.000Z

2022-03-18T20:06:38.000Z

# Copyright 2019 Spotify AB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, s...

29.452381

81

0.712207

188

1,237

4.585106

0.484043

0.069606

0.030162

0.037123

0.180974

0

0.008048

0.196443

1,237

41

82

30.170732

0.859155

0.442199

0

0.315789

0

0.147929

0

1

0.157895

false

0

0.105263

0

0.473684

0

null

0

null

0

1

0

a90000a60889fa2e13612a2352497c1c01e09cb6

71,385

py

Python

DeSu2SE.py

XxArcaiCxX/Devil-Survivor-2-Record-Breaker-Save-Editor

872717f66f1d9045d48f8d4c2621a925ee4e2817

[ "MIT" ]

null

DeSu2SE.py

XxArcaiCxX/Devil-Survivor-2-Record-Breaker-Save-Editor

872717f66f1d9045d48f8d4c2621a925ee4e2817

[ "MIT" ]

null

DeSu2SE.py

XxArcaiCxX/Devil-Survivor-2-Record-Breaker-Save-Editor

872717f66f1d9045d48f8d4c2621a925ee4e2817

[ "MIT" ]

null

#!/usr/bin/env python3 import tkinter as tk from tkinter import filedialog from tkinter import messagebox from tkinter import ttk import os import sys print_n = sys.stdout.write STAT_TXT = ("ST", "MA", "VI", "AG") # Characters CHAR_OFFSET = "0x24" CHAR_ID = ("0x75", 2) CHAR_LVL = ("0x79", 1) CHAR_EXP = ("0x7C", 2) ...

38.255627

118

0.525867

8,896

71,385

4.101731

0.184353

0.028502

0.026364

0.016772

0.317986

0.261476

0.24084

0.190879

0.183836

0.175505

0

0.110351

0.285802

71,385

1,865

119

38.276139

0.605359

0.021139

0

0.062983

0

0.22733

0

0.002307

0

1

0.013072

false

0.004753

0.003565

0

0.022579

0.008318

0

null

0

null

0

1

0

a900d8dec7fd37ab4adca645a03f1689e7145bd6

6,692

py

Python

tutorials/examples/interp_plot.py

ReynLieu/tf-pwa

f354b5036bc8c37ffba95849de5ec3367934eef8

[ "MIT" ]

4

2021-05-10T15:17:24.000Z

2021-08-16T07:40:06.000Z

tutorials/examples/interp_plot.py

ReynLieu/tf-pwa

f354b5036bc8c37ffba95849de5ec3367934eef8

[ "MIT" ]

45

2020-10-24T08:26:19.000Z

2022-03-20T06:14:58.000Z

tutorials/examples/interp_plot.py

ReynLieu/tf-pwa

f354b5036bc8c37ffba95849de5ec3367934eef8

[ "MIT" ]

8

2020-10-24T06:41:06.000Z

2022-01-03T01:29:49.000Z

import json import matplotlib.animation as animation import matplotlib.pyplot as plt import numpy as np import scipy.signal as signal import yaml from mpl_toolkits.mplot3d.axes3d import Axes3D from scipy.interpolate import interp1d from tf_pwa.config_loader import ConfigLoader from tf_pwa.experimental.extra_amp impor...

27.539095

78

0.558876

1,127

6,692

3.157941

0.189885

0.011801

0.009834

0.011801

0.148356

0.111548

0.082046

0.066873

0.033717

0.024164

0

0.042044

0.257173

6,692

242

79

27.652893

0.673909

0.074567

0

0.140541

0

0.089829

0

1

0.064865

false

0

0.059459

0.005405

0.156757

0.005405

0

null

0

null

0

1

0

a902196e210ce0c9d3fc255989473f3fdb1ab785

3,316

py

Python

scripts/val_step_images_pull.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

scripts/val_step_images_pull.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

2

2017-11-18T00:53:33.000Z

2017-11-18T00:53:40.000Z

scripts/val_step_images_pull.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

''' A script for accessing visualization data (saving images at validation steps during training) and saving them to a local directory. ''' import pymongo as pm import pickle import os import gridfs import cPickle import numpy as np from PIL import Image dbname = 'future_pred_test' collname = 'asymmetric' port = 27017...

29.607143

131

0.701448

551

3,316

4.018149

0.317604

0.024842

0.031617

0.02168

0.169377

0.161698

0.110208

0.090334

0.063234

0

0.016834

0.158022

3,316

111

132

29.873874

0.776146

0.162545

0

0.128205

0

0.08735

0.008699

0

0.012821

1

0.038462

false

0

0.089744

0

0.166667

0.051282

0

null

0

null

0

1

0

a90540d0d0a5a9bc45b650e47d3f81668b272c4b

338

py

Python

test from collections import defaultdict.py

meeve602/nn-network

2bc422785b8d7e5fa78d73a218f5ed8d499902e7

[ "Apache-2.0" ]

null

test from collections import defaultdict.py

meeve602/nn-network

2bc422785b8d7e5fa78d73a218f5ed8d499902e7

[ "Apache-2.0" ]

null

test from collections import defaultdict.py

meeve602/nn-network

2bc422785b8d7e5fa78d73a218f5ed8d499902e7

[ "Apache-2.0" ]

null

from collections import defaultdict computing_graph = defaultdict(list)#defaultdict(list),会构建一个默认value为list的字典， """ for (key, value) in data: result[key].append(value) print(result)#defaultdict(<class 'list'>, {'p': [1, 2, 3], 'h': [1, 2, 3]}) """ n = 'p' m = [1,2,23] computing_graph[n].append(m) print(...

26

76

0.659763

47

338

4.680851

0.531915

0.190909

0.027273

0

0.034722

0.147929

338

12

77

28.166667

0.729167

0.115385

0

0.006803

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

a905bc7c157d96b2e4f0eee9148f0267c5d741fe

597

py

Python

examples/web-scraper/playground.py

relikd/botlib

d0c5072d27db1aa3fad432457c90c9e3f23f22cc

[ "MIT" ]

null

examples/web-scraper/playground.py

relikd/botlib

d0c5072d27db1aa3fad432457c90c9e3f23f22cc

[ "MIT" ]

null

examples/web-scraper/playground.py

relikd/botlib

d0c5072d27db1aa3fad432457c90c9e3f23f22cc

[ "MIT" ]

null

#!/usr/bin/env python3 from botlib.curl import Curl from botlib.html2list import HTML2List, MatchGroup URL = 'https://www.vice.com/en/topic/motherboard' SOURCE = Curl.get(URL, cache_only=True) SELECT = '.vice-card__content' match = MatchGroup({ 'url': r'<a href="([^"]*)"', 'title': r'<h3[^>]*><a [^>]*>([\s\S]...

28.428571

62

0.571189

88

597

3.818182

0.590909

0.02381

0.017857

0

0.011905

0.155779

597

20

63

29.85

0.654762

0.035176

0

0.326957

0.095652

0

1

0

false

0

0.117647

0

0.117647

0

null

0

null

0

1

0

a906359018ecf72d4a4f117b4a1b82b665b383a6

3,912

py

Python

examples/j1j2_2d_exact_4.py

vigsterkr/FlowKet

0d8f301b5f51a1bab83021f10f65cfb5f2751079

[ "MIT" ]

21

2019-11-19T13:59:13.000Z

2021-12-03T10:26:30.000Z

examples/j1j2_2d_exact_4.py

HUJI-Deep/PyKet

61238afd3fe1488d35c57d280675f544c559bd01

[ "MIT" ]

10

2019-11-15T12:07:28.000Z

2020-11-07T18:12:18.000Z

examples/j1j2_2d_exact_4.py

HUJI-Deep/PyKet

61238afd3fe1488d35c57d280675f544c559bd01

[ "MIT" ]

11

2019-12-09T22:51:17.000Z

2021-11-29T22:05:41.000Z

from collections import OrderedDict import itertools import sys from tensorflow.keras.layers import Input from tensorflow.keras.models import Model from tensorflow.keras.optimizers import Adam from flowket.callbacks import TensorBoard from flowket.callbacks.exact import default_wave_function_callbacks_factory, ExactO...

40.329897

120

0.748466

502

3,912

5.531873

0.348606

0.031689

0.048974

0.023767

0.162045

0.097587

0.063378

0.03457

0

0.024361

0.150051

3,912

96

121

40.75

0.810827

0.017127

0

0.061931

0.035389

0

1

0.013333

false

0

0.213333

0

0.24

0.013333

0

null

0

null

0

1

0

a907a743744664923c1dc0146b6eda52d8a91360

3,833

py

Python

build/package_version/archive_info.py

MicrohexHQ/nacl_contracts

3efab5eecb3cf7ba43f2d61000e65918aa4ba77a

[ "BSD-3-Clause" ]

6

2015-02-06T23:41:01.000Z

2015-10-21T03:08:51.000Z

build/package_version/archive_info.py

MicrohexHQ/nacl_contracts

3efab5eecb3cf7ba43f2d61000e65918aa4ba77a

[ "BSD-3-Clause" ]

null

build/package_version/archive_info.py

MicrohexHQ/nacl_contracts

3efab5eecb3cf7ba43f2d61000e65918aa4ba77a

[ "BSD-3-Clause" ]

1

2019-10-02T08:41:50.000Z

#!/usr/bin/python # Copyright (c) 2014 The Native Client Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """A archive_info is a json file describing a single package archive.""" import collections import hashlib import json import os ...

33.920354

76

0.687712

508

3,833

4.996063

0.30315

0.086682

0.100473

0.031521

0.08156

0.063436

0.042947

0.031521

0

0.002347

0.221758

3,833

112

77

34.223214

0.848475

0.375163

0

0.037736

0

0.048267

0

1

0.169811

false

0

0.075472

0.037736

0.396226

0

null

0

null

0

1

0

8bef32020f0494687a4f159a327cd70c156e52e5

3,546

py

Python

tests/test_lsstdoc.py

lsst-sqre/dochub-adapter

3c155bc7ffe46f41e8de5108c936aed7587c8cdb

[ "MIT" ]

null

tests/test_lsstdoc.py

lsst-sqre/dochub-adapter

3c155bc7ffe46f41e8de5108c936aed7587c8cdb

[ "MIT" ]

null

tests/test_lsstdoc.py

lsst-sqre/dochub-adapter

3c155bc7ffe46f41e8de5108c936aed7587c8cdb

[ "MIT" ]

null

"""Ad hoc tests of the LsstLatexDoc class. Other test modules rigorously verify LsstLatexDoc against sample documents. """ from pybtex.database import BibliographyData import pytest from lsstprojectmeta.tex.lsstdoc import LsstLatexDoc def test_no_short_title(): """title without a short title.""" sample = r"...

32.833333

79

0.645798

424

3,546

5.299528

0.294811

0.042724

0.024032

0.072096

0.433912

0.332888

0.247441

0.139742

0

0.006669

0.238861

3,546

107

80

33.140187

0.825861

0.1489

0

0.180556

0

0.342406

0.034946

0

0.152778

1

0.138889

false

0

0.041667

0

0.180556

0

null

0

null

0

1

0

8bf171a05404452569f820648c7f427a69c301b2

8,012

py

Python

bluesky_kafka/tests/test_kafka.py

gwbischof/bluesky-kafka

fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4

[ "BSD-3-Clause" ]

null

bluesky_kafka/tests/test_kafka.py

gwbischof/bluesky-kafka

fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4

[ "BSD-3-Clause" ]

null

bluesky_kafka/tests/test_kafka.py

gwbischof/bluesky-kafka

fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4

[ "BSD-3-Clause" ]

null

from functools import partial import logging import msgpack import msgpack_numpy as mpn from confluent_kafka.cimpl import KafkaException import numpy as np import pickle import pytest from bluesky_kafka import Publisher, BlueskyConsumer from bluesky_kafka.tests.conftest import get_all_documents_from_queue from blues...

33.383333

92

0.668622

978

8,012

5.285276

0.206544

0.037918

0.031341

0.004643

0.690075

0.649836

0.633585

0.628942

0.603018

0.596634

0

0.019279

0.249002

8,012

239

93

33.523013

0.839787

0.25337

0

0.519231

0

0.12957

0.033698

0

0.051282

1

0.044872

false

0

0.076923

0

0.121795

0

null

0

null

0

1

0

8bf5aa849ab9919f36bd06cb32baf1102cd57b0f

13,653

py

Python

sunpy/coordinates/frames.py

s0nskar/sunpy

60ca4792ded4c3938a78da7055cf2c20e0e8ccfd

[ "MIT" ]

null

sunpy/coordinates/frames.py

s0nskar/sunpy

60ca4792ded4c3938a78da7055cf2c20e0e8ccfd

[ "MIT" ]

null

sunpy/coordinates/frames.py

s0nskar/sunpy

60ca4792ded4c3938a78da7055cf2c20e0e8ccfd

[ "MIT" ]

null

""" Common solar physics coordinate systems. This submodule implements various solar physics coordinate frames for use with the `astropy.coordinates` module. """ from __future__ import absolute_import, division import numpy as np from astropy import units as u from astropy.coordinates.representation import (Cartesia...

41.49848

90

0.620669

1,517

13,653

5.523401

0.175346

0.018141

0.017066

0.006683

0.570951

0.546008

0.508533

0.468672

0.456379

0.444206

0

0.047786

0.270417

13,653

328

91

41.625

0.793394

0.469567

0

0.509434

0

0.090965

0.013713

0

1

0.028302

false

0

0.084906

0

0.367925

0

null

0

null

0

1

0

8bf7588b6e982ef5c34279f0381a39c74ff2495d

4,640

py

Python

python/ray/serve/tests/test_pipeline_dag.py

quarkzou/ray

49de29969df0c55a5969b8ffbfc7d62459e5024b

[ "Apache-2.0" ]

null

python/ray/serve/tests/test_pipeline_dag.py

quarkzou/ray

49de29969df0c55a5969b8ffbfc7d62459e5024b

[ "Apache-2.0" ]

null

python/ray/serve/tests/test_pipeline_dag.py

quarkzou/ray

49de29969df0c55a5969b8ffbfc7d62459e5024b

[ "Apache-2.0" ]

null

import pytest import os import sys import numpy as np import ray from ray import serve from ray.serve.api import _get_deployments_from_node from ray.serve.handle import PipelineHandle from ray.serve.pipeline.pipeline_input_node import PipelineInputNode @serve.deployment class Adder: def __init__(self, increment...

25.217391

84

0.650647

626

4,640

4.570288

0.204473

0.027263

0.062915

0.050332

0.349179

0.256204

0.191541

0.165676

0

0.022371

0.22931

4,640

183

85

25.355191

0.777685

0.039871

0

0.263566

0

0.023815

0

0.005464

0.093023

1

0.193798

false

0.023256

0.069767

0.046512

0.418605

0.015504

0

null

0

null

0

1

0

8bf7e9d1ed3871fd0972273d253da43b826c3e35

598

py

Python

test/data_producer_kafka.py

netgroup/srv6-pm-dockerized

770976e9e2da56780ae9bb4048360235d2568627

[ "Apache-2.0" ]

null

test/data_producer_kafka.py

netgroup/srv6-pm-dockerized

770976e9e2da56780ae9bb4048360235d2568627

[ "Apache-2.0" ]

null

test/data_producer_kafka.py

netgroup/srv6-pm-dockerized

770976e9e2da56780ae9bb4048360235d2568627

[ "Apache-2.0" ]

2

2020-07-28T18:12:09.000Z

2021-02-22T06:31:19.000Z

from kafka import KafkaProducer from kafka.errors import KafkaError import json # produce json messages producer = KafkaProducer(bootstrap_servers='kafka:9092', security_protocol='PLAINTEXT', value_serializer=lambda m: json.dumps(m).encode('ascii')) result = producer.send('ktig', {'measure_i...

37.375

88

0.602007

62

598

5.612903

0.677419

0.051724

0

0.034803

0.279264

598

15

89

39.866667

0.772622

0.035117

0

0.238261

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

8bf80a6b7a2e719d044ca3071a20a59ca3623e14

248

py

Python

uasyncio.core/test_cb_args.py

Carglglz/micropython-lib

07102c56aa1087b97ee313cedc1d89fd20452e11

[ "PSF-2.0" ]

126

2019-07-19T14:42:41.000Z

2022-03-21T22:22:19.000Z

uasyncio.core/test_cb_args.py

Carglglz/micropython-lib

07102c56aa1087b97ee313cedc1d89fd20452e11

[ "PSF-2.0" ]

38

2019-08-28T01:46:31.000Z

2022-03-17T05:46:51.000Z

uasyncio.core/test_cb_args.py

Carglglz/micropython-lib

07102c56aa1087b97ee313cedc1d89fd20452e11

[ "PSF-2.0" ]

55

2019-08-02T09:32:33.000Z

2021-12-22T11:25:51.000Z

try: import uasyncio.core as asyncio except: import asyncio def cb(a, b): assert a == "test" assert b == "test2" loop.stop() loop = asyncio.get_event_loop() loop.call_soon(cb, "test", "test2") loop.run_forever() print("OK")

14.588235

35

0.637097

37

248

4.162162

0.648649

0.116883

0

0.010204

0.209677

248

16

36

15.5

0.77551

0

0.080645

0

0.166667

1

0.083333

false

0

0.166667

0

0.25

0.083333

0

null

0

null

0

1

0

8bfa439c74e0b340dc223e43b06761bdee5d063d

1,026

py

Python

cookiecutter_mbam/scan/views.py

tiburona/cookiecutter_mbam

13788774a4c1426c133b3f689f98d8f0c54de9c6

[ "BSD-3-Clause" ]

null

cookiecutter_mbam/scan/views.py

tiburona/cookiecutter_mbam

13788774a4c1426c133b3f689f98d8f0c54de9c6

[ "BSD-3-Clause" ]

null

cookiecutter_mbam/scan/views.py

tiburona/cookiecutter_mbam

13788774a4c1426c133b3f689f98d8f0c54de9c6

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """Scan views.""" from flask import Blueprint, render_template, flash, redirect, url_for, session from flask_login import current_user from .forms import ScanForm from .service import ScanService from cookiecutter_mbam.utils import flash_errors blueprint = Blueprint('scan', __name__, url_prefix...

34.2

87

0.693957

139

1,026

4.920863

0.532374

0.039474

0.04386

0

0.001178

0.172515

1,026

30

88

34.2

0.804476

0.044834

0

0.176289

0.02268

0

0.045455

1

0.090909

false

0

0.272727

0

0.454545

0.136364

0

null

0

null

0

1

0

8bfa8f2b88f8aca9aab6973afb6831c3aa0a0478

3,460

py

Python

python-route-endpoint/test_dbstore.py

blues/note-samples

a50c27ea0b8728668f2c44139b088d5fdf0c7d57

[ "Apache-2.0" ]

1

2021-10-04T14:42:43.000Z

python-route-endpoint/test_dbstore.py

blues/note-samples

a50c27ea0b8728668f2c44139b088d5fdf0c7d57

[ "Apache-2.0" ]

3

2021-09-07T17:54:58.000Z

2021-11-16T21:40:52.000Z

python-route-endpoint/test_dbstore.py

blues/note-samples

a50c27ea0b8728668f2c44139b088d5fdf0c7d57

[ "Apache-2.0" ]

null

import pytest import dbstore inMemFile = ":memory:" measurementTable = "measurements" alertTable = "alerts" def test_db_store_constructor(): s = dbstore.dbstore(file=inMemFile) assert(s != None) def test_dbStore_connect(): s = dbstore.dbstore(file=inMemFile) s.connect() assert s._connection i...

23.69863

102

0.67052

380

3,460

6.013158

0.210526

0.033698

0.045952

0.058206

0.670022

0.603501

0.550109

0.516849

0.44639

0

0.012454

0.210983

3,460

146

103

23.69863

0.824542

0

0.561224

0

0.114707

0

0.204082

1

0.122449

false

0

0.020408

0

0.153061

0

null

0

null

0

1

0

8bfc984d3b1bbcef2b5af5e9508ff3a2a9c35186

604

py

Python

basics/linear.py

zhijiahu/dltk

bf0484e22d3d0116b1ac60ae78f688a36c5a0636

[ "MIT" ]

null

basics/linear.py

zhijiahu/dltk

bf0484e22d3d0116b1ac60ae78f688a36c5a0636

[ "MIT" ]

null

basics/linear.py

zhijiahu/dltk

bf0484e22d3d0116b1ac60ae78f688a36c5a0636

[ "MIT" ]

null

import numpy as np import cv2 labels = ['dog', 'cat', 'panda'] np.random.seed(1) # Simulate model already trained W = np.random.randn(3, 3072) b = np.random.randn(3) orig = cv2.imread('beagle.png') image = cv2.resize(orig, (32, 32)).flatten() scores = W.dot(image) + b for (label, score) in zip(labels, scores): ...

20.133333

58

0.574503

87

604

3.965517

0.597701

0.069565

0.075362

0.081159

0

0.069565

0.238411

604

29

59

20.827586

0.680435

0.049669

0

0.087566

0

1

0

false

0

0.1

0

0.1

0.05

0

null

0

null

0

1

0

8bfd515b8c9ab45a349fc3b66ded01bb3b315143

2,759

py

Python

sevivi/synchronizer/synchronizer.py

edgarriba/sevivi

52c8bef206e531c797221a08037306c0c5b0ca59

[ "MIT" ]

null

sevivi/synchronizer/synchronizer.py

edgarriba/sevivi

52c8bef206e531c797221a08037306c0c5b0ca59

[ "MIT" ]

9

2021-09-09T07:40:21.000Z

2022-01-13T07:03:59.000Z

sevivi/synchronizer/synchronizer.py

edgarriba/sevivi

52c8bef206e531c797221a08037306c0c5b0ca59

[ "MIT" ]

1

2022-01-26T09:51:29.000Z

import pandas as pd import numpy as np import matplotlib.pyplot as plt from .signal_processing import ( resample_data, normalize_signal, calculate_magnitude, calculate_offset_in_seconds_using_cross_correlation, calculate_sampling_frequency_from_timestamps, ) def get_synchronization_offset( vi...

33.240964

120

0.696629

335

2,759

5.444776

0.301493

0.036184

0.049342

0.35636

0.286184

0.240132

0.144737

0

0.001881

0.229069

2,759

82

121

33.646341

0.855665

0.200435

0

0.229508

0

0.043478

0

1

0.016393

false

0

0.065574

0

0.098361

0

null

0

null

0

1

0

8bfd607f605b753ac1980b586075777909511585

244

py

Python

bob.py

williamstern/Intro-to-CS-MIT-Course

0f6129fa6bd47767cb57507279d49b27501a160f

[ "MIT" ]

null

bob.py

williamstern/Intro-to-CS-MIT-Course

0f6129fa6bd47767cb57507279d49b27501a160f

[ "MIT" ]

null

bob.py

williamstern/Intro-to-CS-MIT-Course

0f6129fa6bd47767cb57507279d49b27501a160f

[ "MIT" ]

null

s = 'vpoboooboboobooboboo' y = 0 counter = 0 times_run = 0 start = 0 end = 3 for letter in s: sc = s[start:end] start += 1 end += 1 if sc == str('bob'): counter += 1 print('Number of times bob occurs is: ', counter)

10.166667

49

0.565574

39

244

3.512821

0.589744

0

0.047059

0.303279

244

23

50

10.608696

0.758824

0

0.222222

0

1

0

false

0

0.076923

0

null

0

null

0

1

0

8bfd9f299f8a3e49d68acee30f35331e05c04631

5,469

py

Python

tests/main.py

bastienleonard/pysfml-cython

c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4

[ "Zlib", "BSD-2-Clause" ]

14

2015-09-14T18:04:27.000Z

2021-02-19T16:51:57.000Z

tests/main.py

bastienleonard/pysfml-cython

c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4

[ "Zlib", "BSD-2-Clause" ]

3

2015-12-14T17:07:45.000Z

2021-10-02T05:55:11.000Z

tests/main.py

bastienleonard/pysfml-cython

c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4

[ "Zlib", "BSD-2-Clause" ]

3

2015-04-12T16:57:02.000Z

2021-02-20T17:15:51.000Z

#! /usr/bin/env python2 # -*- coding: utf-8 -*- import random import unittest import sfml as sf class TestColor(unittest.TestCase): def random_color(self): return sf.Color(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255), ...

30.724719

78

0.513257

734

5,469

3.745232

0.114441

0.034194

0.022917

0.011641

0.654056

0.623499

0.552928

0.542743

0.491815

0.454711

0

0.083565

0.343573

5,469

177

79

30.898305

0.682173

0.008045

0

0.455224

0

0.001475

0

0.156716

1

0.186567

false

0

0.022388

0.052239

0.298507

0

null

0

null

0

1

0

8bfef33258b56cdbd64d66536a38eaa752a6a523

12,840

py

Python

textgen/augment/word_level_augment.py

shibing624/textgen

0a9d55f1f61d5217b8e06f1f23904e49afa84370

[ "Apache-2.0" ]

31

2021-06-29T14:31:35.000Z

2022-03-25T00:36:44.000Z

textgen/augment/word_level_augment.py

shibing624/text-generation

0a9d55f1f61d5217b8e06f1f23904e49afa84370

[ "Apache-2.0" ]

1

2021-11-09T21:30:16.000Z

2022-03-02T10:21:04.000Z

textgen/augment/word_level_augment.py

shibing624/text-generation

0a9d55f1f61d5217b8e06f1f23904e49afa84370

[ "Apache-2.0" ]

5

2021-06-21T03:13:39.000Z

2022-02-07T06:53:22.000Z

# -*- coding: utf-8 -*- """ @author:XuMing(xuming624@qq.com) @description: Word level augmentations including Replace words with uniform random words or TF-IDF based word replacement. """ import collections import copy import math import numpy as np from textgen.utils.log import logger min_token_num = 3 class Eff...

35.469613

95

0.576947

1,590

12,840

4.395597

0.108805

0.025039

0.026041

0.020604

0.560166

0.482616

0.465446

0.453141

0.422664

0.399771

0

0.008406

0.323676

12,840

361

96

35.567867

0.796407

0.14891

0

0.514056

0

0.009731

0

1

0.11245

false

0

0.02008

0.012048

0.232932

0

null

0

null

0

1

0

e301076532db001f5790d94584e7f5e4d2165387

1,198

py

Python

ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py

AmberCrafter/docker-compose_libRadtran

0182f991db6a13e0cacb3bf9f43809e6850593e4

[ "MIT" ]

null

ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py

AmberCrafter/docker-compose_libRadtran

0182f991db6a13e0cacb3bf9f43809e6850593e4

[ "MIT" ]

null

ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py

AmberCrafter/docker-compose_libRadtran

0182f991db6a13e0cacb3bf9f43809e6850593e4

[ "MIT" ]

null

from matplotlib import use use('WXAgg') import pylab as plt import numpy as np plt.figure(figsize=(8,5)) ax = plt.subplot(111) fil = './spectrum_GOME.out' data = np.loadtxt(fil) y = data[:,1] x = data[:,0] pl_list = [] pl, = ax.plot(x,y,'r') pl_list.append(pl) y = 10*data[:,3] pl, = ax.plot(x,y,'...

26.622222

83

0.656093

206

1,198

3.752427

0.402913

0.069858

0.020699

0.023286

0.47348

0.40621

0

0.052156

0.16778

1,198

44

84

27.227273

0.72317

0.324708

0

0.230769

0

0.172111

0

1

0

false

0

0.153846

0

0.153846

0

null

0

null

0

1

0

e302119a1e26db2aa7e3d9148ce46b0ec243f446

24,156

py

Python

condensation-forum/application.py

BitFracture/condensation

a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f

[ "BSD-2-Clause" ]

null

condensation-forum/application.py

BitFracture/condensation

a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f

[ "BSD-2-Clause" ]

59

2018-03-02T03:08:22.000Z

2018-03-11T01:43:02.000Z

condensation-forum/application.py

BitFracture/condensation

a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f

[ "BSD-2-Clause" ]

null

""" An AWS Python3+Flask web app. """ from flask import Flask, redirect, url_for, request, session, flash, get_flashed_messages, render_template, escape from flask_oauthlib.client import OAuth import boto3,botocore import jinja2 from boto3.dynamodb.conditions import Key, Attr import urllib.request import json import c...

36.711246

123

0.638475

2,611

24,156

5.851781

0.173497

0.009817

0.034034

0.037306

0.512992

0.441259

0.402775

0.352903

0.329799

0.320113

0

0.004822

0.253105

24,156

657

124

36.767123

0.842035

0.130402

0

0.465665

0

0.158033

0.007505

0

1

0.034335

false

0.002146

0.042918

0.002146

0.148069

0.004292

0

null

0

null

0

1

0

e3073fdd2f59dca010998232729affa0626a74d8

3,133

py

Python

core/scheduler/at.py

vsilent/smarty-bot

963cba05433be14494ba339343c9903ccab3c37d

[ "MIT" ]

1

2016-10-08T09:01:05.000Z

core/scheduler/at.py

vsilent/smarty-bot

963cba05433be14494ba339343c9903ccab3c37d

[ "MIT" ]

1

2019-09-24T09:56:52.000Z

core/scheduler/at.py

vsilent/smarty-bot

963cba05433be14494ba339343c9903ccab3c37d

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ apscheduler. """ import subprocess from apscheduler.scheduler import Scheduler from apscheduler.jobstores.shelve_store import ShelveJobStore from datetime import date, datetime, timedelta import os import shelve import zmq from core.config.settings import logger de...

25.892562

73

0.531759

337

3,133

4.863501

0.379822

0.029896

0.024405

0.036608

0

0.001933

0.339611

3,133

120

74

26.108333

0.790237

0.064475

0

0.110056

0

1

0.064103

false

0.012821

0.102564

0

0.205128

0

null

0

null

0

1

0

e30fa4b4018e2cb629164838090fb39449877a74

2,551

py

Python

advertorch/tests/test_utilities.py

sleepstagingrest/rest

cf0de7ae82b6b74fe23e9d057214970cd3c9672d

[ "MIT" ]

18

2020-02-03T07:14:40.000Z

2021-12-20T18:45:43.000Z

advertorch/tests/test_utilities.py

sleepstagingrest/rest

cf0de7ae82b6b74fe23e9d057214970cd3c9672d

[ "MIT" ]

11

2020-01-28T23:16:25.000Z

2022-02-10T01:04:56.000Z

advertorch/tests/test_utilities.py

sleepstagingrest/REST

cf0de7ae82b6b74fe23e9d057214970cd3c9672d

[ "MIT" ]

2

2020-08-20T08:15:09.000Z

2021-02-23T07:30:40.000Z

# Copyright (c) 2018-present, Royal Bank of Canada. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import warnings import numpy as np import torch import torchvision.transforms.functional as F from advertorch.utils im...

30.73494

74

0.717758

331

2,551

5.359517

0.329305

0.071026

0.074972

0.098647

0.260992

0.131905

0.095829

0.047351

0

0.033686

0.185417

2,551

82

75

31.109756

0.820019

0.078401

0

0.109091

0

0.002562

0

0.072727

1

0.090909

false

0

0.272727

0

0.381818

0

null

0

null

0

1

0

e30ff60533abef30a592ebe83ada7b1e9f61003f

5,595

py

Python

RV/portfolio/portfolio/hindex.py

rmomizo/portfolio_bot

b7854c4b5c9f32e9631389bb2238b5bb30d54c8e

[ "MIT" ]

null

RV/portfolio/portfolio/hindex.py

rmomizo/portfolio_bot

b7854c4b5c9f32e9631389bb2238b5bb30d54c8e

[ "MIT" ]

null

RV/portfolio/portfolio/hindex.py

rmomizo/portfolio_bot

b7854c4b5c9f32e9631389bb2238b5bb30d54c8e

[ "MIT" ]

null

from __future__ import division import itertools import matplotlib.pyplot as plt from matplotlib.pyplot import savefig import random from random import shuffle from collections import Counter def flatten_list(somelist): if any(isinstance(el, list) for el in somelist) == False: return somelist ...

32.719298

94

0.557283

704

5,595

4.284091

0.203125

0.066313

0.054708

0.046419

0.432361

0.38561

0.35378

0.29244

0.276525

0

0.019864

0.343164

5,595

170

95

32.911765

0.800816

0.174978

0

0.209091

0

0.00727

0

1

0.118182

false

0

0.063636

0

0.318182

0

null

0

null

0

1

0

e3106531f1b9e6f9266ac05f2587a787cfc4e699

1,316

py

Python

operators/device_output.py

a1exwang/fm-synth

fb14aa1dec3798b15a607ac03442decf322bebee

[ "MIT" ]

3

2018-01-18T12:25:38.000Z

2020-03-19T13:19:31.000Z

operators/device_output.py

a1exwang/fm-synth

fb14aa1dec3798b15a607ac03442decf322bebee

[ "MIT" ]

4

2017-04-24T16:36:59.000Z

2017-05-11T11:23:44.000Z

operators/device_output.py

a1exwang/fm-synth

fb14aa1dec3798b15a607ac03442decf322bebee

[ "MIT" ]

null

from PyQt5.QtCore import pyqtSlot from channels.channel import Channel from operators.base import OutputOperator import numpy as np class DeviceOutput(OutputOperator): def __init__(self, input_ops, volume=1.0, name=None): super().__init__(input_ops, name) self.total_count = 0 self.stream =...

34.631579

105

0.575988

174

1,316

4.201149

0.344828

0.057456

0.032832

0.194254

0

0.043663

0.286474

1,316

37

106

35.567568

0.734824

0.025076

0

0.038311

0

1

0.103448

false

0

0.137931

0

0.310345

0

null

0

null

0

1

0

e31093c826bcdc408129c3db911766a20c8f8973

524

py

Python

code/0217-containsDuplicate.py

RRRoger/LeetCodeExercise

0019a048fcfac9ac9e6f37651b17d01407c92c7d

[ "MIT" ]

null

code/0217-containsDuplicate.py

RRRoger/LeetCodeExercise

0019a048fcfac9ac9e6f37651b17d01407c92c7d

[ "MIT" ]

null

code/0217-containsDuplicate.py

RRRoger/LeetCodeExercise

0019a048fcfac9ac9e6f37651b17d01407c92c7d

[ "MIT" ]

null

class Solution(object): def isPowerOfTwo(self, n): """ :type n: int :rtype: bool """ # 左移 if n == 1: return True power = 0 flag = True while flag: val = 2 << power if val == n: return True ...

15.878788

34

0.412214

52

524

4

0.557692

0.096154

0

0.030189

0.494275

524

33

35

15.878788

0.754717

0.055344

0

0.111111

0

0.017241

0

1

0.055556

false

0

0.277778

0.055556

0

null

0

null

0

1

0

e312d0f86ad81db6700f196a91af6d00bac33137

3,870

py

Python

app/discal/cogs/handler.py

Shirataki2/DisCalendar

cfb5ecad6c65911fbb041cbc585d86588de125f5

[ "MIT" ]

6

2020-11-29T08:04:07.000Z

2021-05-07T11:05:10.000Z

app/discal/cogs/handler.py

Shirataki2/DisCalendar

cfb5ecad6c65911fbb041cbc585d86588de125f5

[ "MIT" ]

139

2020-11-24T23:37:03.000Z

2022-03-30T00:18:09.000Z

app/discal/cogs/handler.py

Shirataki2/DisCalendar

cfb5ecad6c65911fbb041cbc585d86588de125f5

[ "MIT" ]

1

2021-02-01T15:07:17.000Z

import asyncio import json import discord from discord.ext import commands, tasks from discal.bot import Bot from datetime import datetime, timedelta from discal.logger import get_module_logger logger = get_module_logger(__name__) class Handler(commands.Cog): def __init__(self, bot): self.bot: Bot = bot...

36.168224

100

0.496382

420

3,870

4.466667

0.27381

0.026119

0.031983

0.035181

0.200959

0.170043

0.167377

0.046908

0.033049

0

0.013969

0.371059

3,870

106

101

36.509434

0.756779

0

0.104167

0

0.03125

0.14677

0.058915

0

1

0.03125

false

0

0.072917

0

0.125

0

null

0

null

0

1

0

e312d4733d2d6ab5dadd53371794d5b4269ec969

2,738

py

Python

nids/enipcip/enip_cpf.py

Cyphysecurity/ICS-SDN-1

c04d9e7bb7ad945166e969e071a2f82fb5bd18bf

[ "MIT" ]

4

2019-12-17T08:59:57.000Z

2022-01-09T19:52:27.000Z

nids/enipcip/enip_cpf.py

Cyphysecurity/ICS-SDN-1

c04d9e7bb7ad945166e969e071a2f82fb5bd18bf

[ "MIT" ]

3

2020-08-13T16:05:46.000Z

2021-10-17T07:49:33.000Z

nids/enipcip/enip_cpf.py

Cyphysecurity/ICS-SDN-1

c04d9e7bb7ad945166e969e071a2f82fb5bd18bf

[ "MIT" ]

4

2017-06-14T23:41:50.000Z

2021-03-01T18:54:03.000Z

#!/usr/bin/env python2 # -*- coding: utf-8 -*- # Copyright (c) 2015 David I. Urbina, david.urbina@utdallas.edu # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including...

36.506667

106

0.685172

361

2,738

5.102493

0.479224

0.043431

0.022801

0.029316

0.085776

0.062975

0.031488

0

0.022482

0.220234

2,738

74

107

37

0.840281

0.429511

0

0.128205

0

0.151693

0.015625

0

0.027344

0

1

0.076923

false

0

0.076923

0.051282

0.461538

0

null

0

null

0

1

0

e314ca5cb9348b5a95152247da6288de4e244796

1,103

py

Python

programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py

andriidem308/python_practice

85a0ebd6ecbecf63eaba170c8279f0a88600237a

[ "MIT" ]

2

2020-01-27T11:58:54.000Z

2020-03-30T10:54:08.000Z

programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py

andriidem308/python_practice

85a0ebd6ecbecf63eaba170c8279f0a88600237a

[ "MIT" ]

null

programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py

andriidem308/python_practice

85a0ebd6ecbecf63eaba170c8279f0a88600237a

[ "MIT" ]

null

def merge_sort(arr): if len(arr) > 1: middle = len(arr) // 2 lefthalf = arr[:middle] righthalf = arr[middle:] merge_sort(lefthalf) merge_sort(righthalf) i = j = k = 0 while i < len(lefthalf) and j < len(righthalf): if lefthalf[i] < righthalf[j]:...

19.350877

55

0.44243

147

1,103

3.238095

0.217687

0.021008

0.018908

0.071429

0.138655

0.07563

0

0.025397

0.42883

1,103

56

19.696429

0.730159

0.015413

0

0.282051

0

1

0.051282

false

0

0.051282

0.025641

0

null

0

null

0

1

0

e316f4ba8d78958af8ea71861f55f56a0c25786e

765

py

Python

Algorithms and Data Structures/sort/qks.py

ioyy900205/PyTorch_mess-around

90d255e17158699fd7902f7746b35fa18975112e

[ "MIT" ]

null

Algorithms and Data Structures/sort/qks.py

ioyy900205/PyTorch_mess-around

90d255e17158699fd7902f7746b35fa18975112e

[ "MIT" ]

null

Algorithms and Data Structures/sort/qks.py

ioyy900205/PyTorch_mess-around

90d255e17158699fd7902f7746b35fa18975112e

[ "MIT" ]

null

''' Date: 2021-08-10 17:17:35 LastEditors: Liuliang LastEditTime: 2021-08-10 18:27:56 Description: ''' import random import sys sys.path.append("..") from bacic_module.random_int_list import random_int_list def partition(nums, left, right): tmp = nums[left] while left < right: while left<right a...

21.25

56

0.605229

117

765

3.897436

0.350427

0.157895

0.085526

0.096491

0.114035

0

0.068662

0.257516

765

35

57

21.857143

0.734155

0.122876

0

0.083333

0

0.003021

0

1

0.083333

false

0

0.125

0

0.25

0.083333

0

null

0

null

0

1

0

e318e94372f3438841131a8e520812b4b488dc1f

2,144

py

Python

Core/config/CYCEnv/run_json_CYC_envs.py

geoffroygivry/CyclopsVFX-Unity

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

17

2017-06-27T04:14:42.000Z

2022-03-07T03:37:44.000Z

Core/config/CYCEnv/run_json_CYC_envs.py

geoffroygivry/Cyclops-VFX

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

2

2017-06-14T04:17:51.000Z

2018-08-23T20:12:44.000Z

Core/config/CYCEnv/run_json_CYC_envs.py

geoffroygivry/CyclopsVFX-Unity

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

2

2019-03-18T06:18:33.000Z

2019-08-14T21:07:53.000Z

import os import json def create_json_CYC_envs(root_dir): DI_ROOT = root_dir CYC_ROOT = "%s/CyclopsVFX" % DI_ROOT DATA_FILENAME = os.path.join(CYC_ROOT, "CYC_envs.json") CYC_HYDRA_PATH = "%s/Hydra" % (CYC_ROOT) CYC_HYDRA_CACHE = "%s/Hydra/cache" % (CYC_ROOT) CYC_CORE_PATH = "%s/Core/...

39.703704

65

0.58722

288

2,144

3.930556

0.201389

0.111307

0.141343

0.086572

0.174028

0

0.003287

0.290578

2,144

53

66

40.45283

0.74096

0

0.253945

0.064562

0

1

0.021277

false

0

0.042553

0

0.06383

0

null

0

null

0

1

0

e31af962393b8a7c27bf698791ef898144c732f5

4,143

py

Python

test/unit/api/test_api_safety.py

technocreep/FEDOT

c11f19d1d231bd9c1d96d6e39d14697a028f6272

[ "BSD-3-Clause" ]

null

test/unit/api/test_api_safety.py

technocreep/FEDOT

c11f19d1d231bd9c1d96d6e39d14697a028f6272

[ "BSD-3-Clause" ]

null

test/unit/api/test_api_safety.py

technocreep/FEDOT

c11f19d1d231bd9c1d96d6e39d14697a028f6272

[ "BSD-3-Clause" ]

null

import numpy as np from fedot.api.api_utils.api_data import ApiDataProcessor from fedot.api.api_utils.api_data_analyser import DataAnalyser from fedot.api.main import Fedot from fedot.core.data.data import InputData from fedot.core.repository.dataset_types import DataTypesEnum from fedot.core.repository.tasks import T...

42.71134

118

0.69901

540

4,143

5.125926

0.240741

0.034682

0.039017

0.027095

0.457731

0.416908

0.402818

0.30672

0.28974

0

0.014916

0.207096

4,143

96

119

43.15625

0.827702

0.156891

0

0.30303

0

0.038023

0

0.136364

1

0.090909

false

0

0.136364

0

0.257576

0

null

0

null

0

1

0

e31bbe934af2c97028c0e66dc59a02ae268f0c31

7,765

py

Python

parallelpy/parallelpy.py

krober/parallelpy

356fa0b75d3de2fa695b2fd64f0a53555f6bf55f

[ "MIT" ]

null

parallelpy/parallelpy.py

krober/parallelpy

356fa0b75d3de2fa695b2fd64f0a53555f6bf55f

[ "MIT" ]

1

2018-08-26T03:01:18.000Z

parallelpy/parallelpy.py

krober/parallelpy

356fa0b75d3de2fa695b2fd64f0a53555f6bf55f

[ "MIT" ]

null

from multiprocessing import cpu_count, Manager, Process from time import sleep class Parallelizer: def __init__( self, *, target: 'function', args: list, enable_results: bool, auto_proc_count: bool, max_proc_count: int): ...

34.665179

79

0.582228

903

7,765

4.710963

0.241418

0.076164

0.025388

0.015985

0.143394

0.106723

0.082276

0.06441

0.030559

0

0.002946

0.344237

7,765

223

80

34.820628

0.832482

0.330071

0

0.157895

0

0.08708

0.024662

0

1

0.131579

false

0

0.017544

0.008772

0.192982

0.017544

0

null

0

null

0

1

0

e31d9fd874884c64a5cfd7e556213a44724536fb

9,507

py

Python

deanslist/deanslist.py

upeducationnetwork/deanslist-python

226eda2580055427119397bc28e7976f019d7301

[ "MIT" ]

null

deanslist/deanslist.py

upeducationnetwork/deanslist-python

226eda2580055427119397bc28e7976f019d7301

[ "MIT" ]

2

2016-05-16T19:54:26.000Z

2016-05-20T12:02:20.000Z

deanslist/deanslist.py

upeducationnetwork/deanslist-python

226eda2580055427119397bc28e7976f019d7301

[ "MIT" ]

null

__author__ = 'rknight' import os import csv import logging import datetime from requests_futures.sessions import FuturesSession def dl(reports, dlkeys): # Primary call # Send requests allreports = dlrequest(reports=reports, dlkeys=dlkeys) # Write results for outreport in allreports.keys(): ...

31.376238

141

0.577154

1,004

9,507

5.416335

0.253984

0.01416

0.011033

0.230599

0.216992

0.184627

0.148584

0.134976

0

0.003795

0.307037

9,507

302

142

31.480132

0.821645

0.137372

0

0.244565

0

0.127094

0.002606

0

1

0.054348

false

0.005435

0.027174

0

0.108696

0

null

0

null

0

1

0

e31da554e9612910aa7b87468de6e4101ac08273

7,210

py

Python

anchore_engine/services/policy_engine/api/models/image.py

roachmd/anchore-engine

521d6796778139a95f51542670714205c2735a81

[ "Apache-2.0" ]

null

anchore_engine/services/policy_engine/api/models/image.py

roachmd/anchore-engine

521d6796778139a95f51542670714205c2735a81

[ "Apache-2.0" ]

null

anchore_engine/services/policy_engine/api/models/image.py

roachmd/anchore-engine

521d6796778139a95f51542670714205c2735a81

[ "Apache-2.0" ]

null

# coding: utf-8 from __future__ import absolute_import from datetime import date, datetime # noqa: F401 from typing import List, Dict # noqa: F401 from anchore_engine.services.policy_engine.api.models.base_model_ import Model from anchore_engine.services.policy_engine.api import util class Image(Model): """N...

27.414449

156

0.59251

919

7,210

4.500544

0.130577

0.097921

0.109043

0.031431

0.577369

0.469778

0.423356

0.307544

0.292553

0.215184

0

0.014754

0.323162

7,210

262

157

27.519084

0.832787

0.460749

0

0.26087

0

0.088113

0

1

0.195652

false

0

0.054348

0

0.358696

0

null

0

null

0

1

0

e32283e627f56eef0ab47dab2fb3694cb482ef8d

231

py

Python

hdc-utility/model/Formation.py

YSRKEN/HDC_React2

cba48a0563caef629169644254742f688a0e1ec7

[ "MIT" ]

null

hdc-utility/model/Formation.py

YSRKEN/HDC_React2

cba48a0563caef629169644254742f688a0e1ec7

[ "MIT" ]

13

2020-09-04T23:25:20.000Z

2022-02-18T01:52:33.000Z

hdc-utility/model/Formation.py

YSRKEN/HDC_React2

cba48a0563caef629169644254742f688a0e1ec7

[ "MIT" ]

null

from enum import Enum class Formation(Enum): LINE_AHEAD = 0 # 単縦陣 DOUBLE_LINE = 1 # 複縦陣 DIAMOND = 2 # 輪形陣 ECHELON = 3 # 梯形陣 LINE_ABREAST = 4 # 単横陣 FORMATION_3 = 5 # 第3陣形(第三警戒航行序列(輪形陣))

21

43

0.562771

31

231

4.064516

0.774194

0

0.053691

0.354978

231

10

44

23.1

0.791946

0.168831

0

1

0

false

0

0.125

0

1

0

null

0

null

0

1

0

e323be496777a0e952195a0a60b4f2ae474d9dd5

849

py

Python

bisection.py

Raijeku/Optimizacion

b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b

[ "Apache-2.0" ]

null

bisection.py

Raijeku/Optimizacion

b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b

[ "Apache-2.0" ]

null

bisection.py

Raijeku/Optimizacion

b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b

[ "Apache-2.0" ]

null

from sympy import * import pandas as pd def bisection(xl, xu, tolerance, function): x = Symbol('x') f = parse_expr(function) iteration = 0 data = pd.DataFrame(columns=['iteration','xl','xu','xr','f(xl)','f(xu)','f(xr)','f(xl)f(xr)','error']) while abs(xu-xl)>=tolerance: xr = (xl + xu)/2 ...

30.321429

212

0.522968

134

849

3.291045

0.358209

0.036281

0.034014

0.027211

0

0.03125

0.246172

849

28

213

30.321429

0.657813

0

0.141176

0

1

0.047619

false

0

0.095238

0

0.190476

0.047619

0

null

0

null

0

1

0

e324c2b47225b873ec4b37a7708b700104f77b26

3,684

py

Python

subt/ros/base/src/motor_controller.py

m3d/osgar_archive_2020

556b534e59f8aa9b6c8055e2785c8ae75a1a0a0e

[ "MIT" ]

12

2017-02-16T10:22:59.000Z

2022-03-20T05:48:06.000Z

subt/ros/base/src/motor_controller.py

m3d/osgar_archive_2020

556b534e59f8aa9b6c8055e2785c8ae75a1a0a0e

[ "MIT" ]

618

2016-08-30T04:46:12.000Z

2022-03-25T16:03:10.000Z

subt/ros/base/src/motor_controller.py

robotika/osgar

6f4f584d5553ab62c08a1c7bb493fefdc9033173

[ "MIT" ]

11

2016-08-27T20:02:55.000Z

2022-03-07T08:53:53.000Z

from pid import PID import pdb #for anonymous objects Object = lambda **kwargs: type("Object", (), kwargs) class MotorController: def __init__(self, wheelBase,numberOfMotors): self.pidControllerFrontLeft = PID() self.pidControllerFrontRight = PID() self.pidControllerRearLeft = PID() ...

47.844156

140

0.659609

316

3,684

7.648734

0.212025

0.022342

0.029789

0.032271

0.462971

0.331403

0.308647

0.247414

0.21597

0

0.00833

0.250543

3,684

76

141

48.473684

0.867077

0.051574

0

0.217391

0

0.002177

0

1

0.043478

false

0

0.043478

0

0.130435

0

null

0

null

0

1

0

e325abcd58eea788430716963a4dc7047047719c

4,931

py

Python

shiftscheduler/gui/barebone.py

c-rainbow/nurse-scheduling

8537c875e46772700499a89dec3a30a796434fe0

[ "MIT" ]

2

2020-04-16T17:03:56.000Z

2021-04-08T17:23:21.000Z

shiftscheduler/gui/barebone.py

c-rainbow/nurse-scheduling

8537c875e46772700499a89dec3a30a796434fe0

[ "MIT" ]

null

shiftscheduler/gui/barebone.py

c-rainbow/nurse-scheduling

8537c875e46772700499a89dec3a30a796434fe0

[ "MIT" ]

1

2020-05-04T18:03:59.000Z

import tkinter as tk from tkinter import filedialog from tkinter import messagebox from tkinter import scrolledtext from tkinter import ttk import tkcalendar as tkc from shiftscheduler.data_types import data_types from shiftscheduler.excel import output as excel_output from shiftscheduler.gui import constants from ...

35.47482

110

0.636585

628

4,931

4.820064

0.307325

0.035679

0.025438

0.026429

0.164519

0.14635

0.105715

0.062768

0

0.015257

0.268911

4,931

138

111

35.731884

0.824411

0.075441

0

0.020408

0

0.101057

0

1

0.071429

false

0

0.112245

0

0.255102

0

null

0

null

0

1

0

e328edcf699e6d13889b75058d9c53daede11262

428

py

Python

play.py

Samitha156/100-days-of-coding

b47aff0f6d432945a20a5f95e2252cddb6cc5522

[ "MIT" ]

null

play.py

Samitha156/100-days-of-coding

b47aff0f6d432945a20a5f95e2252cddb6cc5522

[ "MIT" ]

null

play.py

Samitha156/100-days-of-coding

b47aff0f6d432945a20a5f95e2252cddb6cc5522

[ "MIT" ]

null

def add(*args): c = 0 for n in args: c += n return c sum = add(2,5,6,5) print(sum) def calculate(**kwargs): print(kwargs) calculate(add=3, mul=5) class Car: def __init__(self, **kw): # self.make = kw["make"] # self.model = kw["model"] self.ma...

17.12

36

0.514019

64

428

3.34375

0.4375

0.11215

0.140187

0.121495

0

0.023973

0.317757

428

25

37

17.12

0.708904

0.109813

0

0.042254

0

1

0.1875

false

0

0.3125

0.1875

0

null

0

null

0

1

0

e3294c6b906349f5541063a2b6f7ca5cb0e7e90b

21,406

py

Python

lib/simpleauth/handler.py

Bekt/tweetement

5cdb2e7db30a1600fbf522754c4917f8c9e377a6

[ "MIT" ]

2

2015-02-18T17:31:58.000Z

2019-04-01T13:44:45.000Z

lib/simpleauth/handler.py

Bekt/tweetement

5cdb2e7db30a1600fbf522754c4917f8c9e377a6

[ "MIT" ]

1

2015-01-26T03:58:19.000Z

lib/simpleauth/handler.py

Bekt/tweetement

5cdb2e7db30a1600fbf522754c4917f8c9e377a6

[ "MIT" ]

1

2021-05-04T21:15:53.000Z

# -*- coding: utf-8 -*- import os import sys import logging import json from urllib import urlencode import urlparse # for CSRF state tokens import time import base64 # Get available json parser try: # should be the fastest on App Engine py27. import json except ImportError: try: import simplejson as json ...

34.525806

80

0.679996

2,805

21,406

5.021034

0.160428

0.014769

0.00781

0.009088

0.350398

0.283158

0.24148

0.218759

0.203777

0.198523

0

0.011983

0.208633

21,406

619

81

34.581583

0.819421

0.274035

0

0.227405

0

0.005831

0.197837

0.018228

0

0.001616

0

1

0.078717

false

0.017493

0.055394

0

0.250729

0

null

0

null

0

1

0

e331235f5a65953d372c517da81e56d9c43aa850

2,652

py

Python

scenegraph/pddlgym_planners/lapkt.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

1

2022-01-30T22:06:57.000Z

scenegraph/pddlgym_planners/lapkt.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

scenegraph/pddlgym_planners/lapkt.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

"""LAPKT-BFWS https://github.com/nirlipo/BFWS-public """ import re import os import sys import subprocess import tempfile from pddlgym_planners.pddl_planner import PDDLPlanner from pddlgym_planners.planner import PlanningFailure import numpy as np from utils import FilesInCommonTempDirectory DOCKER_IMAGE = 'khodeir/b...

42.774194

232

0.667044

344

2,652

4.93314

0.389535

0.028874

0.038892

0.044196

0.115498

0.04891

0

0.005218

0.205128

2,652

61

233

43.47541

0.79981

0.018477

0

0.081633

0

0.020408

0.219569

0.016564

0

0.040816

1

0.122449

false

0.020408

0.183673

0

0.387755

0.020408

0

null

0

null

0

1

0

e33575c4ac98eb7bd72db9483692a67e2a8b1c0f

1,914

py

Python

Create Network Zones.py

Tosatsu/okta-python-scripts

bca5ff89b8fc2381ccab08de971f65505ed0cda5

[ "MIT" ]

1

2021-04-09T09:46:31.000Z

Create Network Zones.py

Tosatsu/okta-python-scripts

bca5ff89b8fc2381ccab08de971f65505ed0cda5

[ "MIT" ]

null

Create Network Zones.py

Tosatsu/okta-python-scripts

bca5ff89b8fc2381ccab08de971f65505ed0cda5

[ "MIT" ]

1

2021-04-12T11:27:13.000Z

import csv import re import sys import requests import json import Data # data container, replace with your own orgName = Data.orgName # replace with your own apiKey = Data.apiKey # provide your own API token api_token = "SSWS " + apiKey headers = {'Accept': 'application/json', 'Content-Type': 'application...

29.90625

71

0.405434

153

1,914

5.006536

0.464052

0.041775

0.067885

0.046997

0

0.029087

0.479101

1,914

64

72

29.90625

0.739218

0.044932

0

0.107143

0

0.158904

0

1

0.035714

false

0

0.107143

0

0.178571

0.035714

0

null

0

null

0

1

0

e33639a848594d63e324d70460cacf9ae086d33c

959

py

Python

simulador_de_dado.py

lucianoferreirasa/PythonProjects

c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5

[ "MIT" ]

null

simulador_de_dado.py

lucianoferreirasa/PythonProjects

c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5

[ "MIT" ]

null

simulador_de_dado.py

lucianoferreirasa/PythonProjects

c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5

[ "MIT" ]

null

import random import PySimpleGUI as sg class SimuladorDeDado: def __init__(self): self.valor_minimo = 1 self.valor_maximo = 6 self.layout = [ [sg.Text("Jogar o dado?")], [sg.Button("Sim"),sg.Button("Não")] ] def Iniciar(self): self.janela = sg.W...

29.96875

71

0.577685

110

959

4.963636

0.5

0.100733

0.054945

0

0.002972

0.298227

959

31

72

30.935484

0.808321

0

0.154327

0

1

0.115385

false

0

0.076923

0

0.230769

0.153846

0

null

0

null

0

1

0

e3370f6e006d93026ba5320fad4727621e81fc92

1,712

py

Python

src/geometry/linear_algebra.py

seahrh/coding-interview

517d19e7e88c02acec4aa6336bc20206ce3f1897

[ "MIT" ]

null

src/geometry/linear_algebra.py

seahrh/coding-interview

517d19e7e88c02acec4aa6336bc20206ce3f1897

[ "MIT" ]

null

src/geometry/linear_algebra.py

seahrh/coding-interview

517d19e7e88c02acec4aa6336bc20206ce3f1897

[ "MIT" ]

null

import math from typing import List, Iterable, Union Numeric = Union[int, float] def magnitude(p: Iterable[Numeric]) -> float: res: float = 0 for component in p: res += component ** 2 res = math.sqrt(res) return res def vdot(p: List[Numeric], q: List[Numeric]) -> float: "...

31.703704

86

0.567757

275

1,712

3.494545

0.24

0.066597

0.067638

0.034339

0.21436

0.16025

0.052029

0

0.01371

0.275701

1,712

53

87

32.301887

0.76129

0.0625

0

0.153846

0

0.100911

0

1

0.128205

false

0

0.051282

0

0.307692

0

null

0

null

0

1

0

e337db10027ece0f941b1295bc94ad1a0ed34904

4,179

py

Python

arrow/forwarder/views.py

AkhilGKrishnan/arrow

bbd35faa5011c642cdcf218b180b48dd7ef39ef6

[ "MIT" ]

null

arrow/forwarder/views.py

AkhilGKrishnan/arrow

bbd35faa5011c642cdcf218b180b48dd7ef39ef6

[ "MIT" ]

null

arrow/forwarder/views.py

AkhilGKrishnan/arrow

bbd35faa5011c642cdcf218b180b48dd7ef39ef6

[ "MIT" ]

3

2019-01-07T17:07:16.000Z

2021-01-09T13:01:40.000Z

from django.views.generic.edit import CreateView, FormMixin from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django import forms from django.urls import reverse from reportlab.pdfgen import canvas from django.http import HttpResponse from forwarder.models import A...

36.025862

93

0.675042

489

4,179

5.674847

0.312883

0.031712

0.04036

0.056216

0.221622

0.167928

0.136937

0

0.016268

0.220388

4,179

115

94

36.33913

0.835482

0.160804

0

0.144737

0

0.093043

0.015459

0

0.008696

0

1

0.092105

false

0.026316

0.105263

0.013158

0.460526

0

null

0

null

0

1

0

e3390f43d3793bc787b6b52cd5f2cc575976a36e

4,793

py

Python

caption_feats_generation_scripts/full_vid_data_loader.py

Alterith/Dense_Video_Captioning_Feature_Extraction_Model_Choice

65d0f2d26698cc8f7a5ffb564936113e2bbec201

[ "MIT" ]

1

2021-04-21T12:39:07.000Z

caption_feats_generation_scripts/full_vid_data_loader.py

Alterith/masters_code

65d0f2d26698cc8f7a5ffb564936113e2bbec201

[ "MIT" ]

null

caption_feats_generation_scripts/full_vid_data_loader.py

Alterith/masters_code

65d0f2d26698cc8f7a5ffb564936113e2bbec201

[ "MIT" ]

null

import h5py # torch imports import torch from torch.utils.data import Dataset # generic imports import os import sys import numpy as np import random import pandas as pd import cv2 from decord import VideoReader from decord import cpu, gpu from matplotlib import pyplot as plt import gc # create data loader class ...

30.335443

130

0.580638

596

4,793

4.505034

0.276846

0.041713

0.075978

0.089385

0.222719

0.158659

0.142272

0.107263

0.099814

0

0.029072

0.332568

4,793

157

131

30.528662

0.810253

0.150428

0

0.133333

0

0.005685

0

1

0.044444

false

0

0.144444

0.011111

0.277778

0.033333

0

null

0

null

0

1

0

e339d61b7c0a81fbe079a184470ec5bdef08b9e1

1,583

py

Python

sklearn_baseline.py

Shinkai125/KerasForTextClassfication

ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4

[ "MIT" ]

null

sklearn_baseline.py

Shinkai125/KerasForTextClassfication

ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4

[ "MIT" ]

null

sklearn_baseline.py

Shinkai125/KerasForTextClassfication

ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4

[ "MIT" ]

null

""" @file: sklearn_method.py @time: 2020-12-09 17:38:38 """ import pandas as pd import seaborn as sns from tqdm import tqdm from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.linear_model import LogisticRegression from sklearn.ensemble import RandomForestClassifier from sklearn.naive_bayes import...

31.66

78

0.753001

222

1,583

5.193694

0.531532

0.057242

0.02255

0.027754

0.041631

0

0.023022

0.12192

1,583

49

79

32.306122

0.806475

0.036008

0

0.06917

0.014493

0

1

0

false

0

0.297297

0

0.297297

0.054054

0

null

0

null

0

1

0

e33bc5cbc72c8153bc963c853fb7e883e19b21c8

2,087

py

Python

handypackages/gallery/tests.py

roundium/handypackages

b8a0e4952644144b31168f9a4ac8e743933d87c7

[ "MIT" ]

1

2019-07-31T11:40:06.000Z

handypackages/gallery/tests.py

roundium/handypackages

b8a0e4952644144b31168f9a4ac8e743933d87c7

[ "MIT" ]

10

2020-02-12T01:16:25.000Z

2021-06-10T18:42:24.000Z

handypackages/gallery/tests.py

roundium/handypackages

b8a0e4952644144b31168f9a4ac8e743933d87c7

[ "MIT" ]

1

2019-07-31T11:40:18.000Z

import tempfile from django.conf import settings from django.contrib.auth.models import User from django.core.files.uploadedfile import SimpleUploadedFile from django.test import TestCase from filer.models import Image from handypackages.tag.models import Tag from .models import Gallery class TestGalleryModels(Tes...

29.394366

77

0.577384

218

2,087

5.380734

0.394495

0.055413

0.054561

0.071611

0.068201

0

0.330139

2,087

70

78

29.814286

0.839056

0.04552

0

0.089286

0

0.175465

0.03821

0

0.053571

1

0.035714

false

0

0.142857

0

0.196429

0

null

0

null

0

1

0

e33ec5c64b5732e244db6498e5c0817ede88b3d0

1,650

py

Python

make_high_indel.py

wckdouglas/ngs_qc_plot

b279905f9e30d1cf547cda5f51cc77e8a134ce99

[ "MIT" ]

null

make_high_indel.py

wckdouglas/ngs_qc_plot

b279905f9e30d1cf547cda5f51cc77e8a134ce99

[ "MIT" ]

null

make_high_indel.py

wckdouglas/ngs_qc_plot

b279905f9e30d1cf547cda5f51cc77e8a134ce99

[ "MIT" ]

null

#!/usr/env python import pandas as pd import os import sys import numpy as np if len(sys.argv) != 3: sys.exit('[usage] python %s <repeat_index table> <indel cutoff>') ref_table = sys.argv[1] indel_cut_off = int(sys.argv[2]) for gdf in pd.read_csv(ref_table, sep='\t', chunksize = 10000): for contig, contig...

36.666667

115

0.512121

187

1,650

4.347594

0.374332

0.135301

0.086101

0.04674

0.162362

0.081181

0

0.011617

0.373939

1,650

44

116

37.5

0.775411

0.009697

0

0.027778

0.15493

0.043478

0

0.027778

1

0

false

0

0.111111

0

0.111111

0.055556

0

null

0

null

0

1

0

e340a47d3057e0a84cad2effe274acb95c936bc5

662

py

Python

LeetCodeSolutions/python/474_Ones_and_Zeroes.py

ChuanleiGuo/AlgorithmsPlayground

90b6287b742c8bfd3797540c408d679be2821a40

[ "MIT" ]

1

2017-03-27T13:38:37.000Z

LeetCodeSolutions/python/474_Ones_and_Zeroes.py

ChuanleiGuo/AlgorithmsPlayground

90b6287b742c8bfd3797540c408d679be2821a40

[ "MIT" ]

null

LeetCodeSolutions/python/474_Ones_and_Zeroes.py

ChuanleiGuo/AlgorithmsPlayground

90b6287b742c8bfd3797540c408d679be2821a40

[ "MIT" ]

null

class Solution(object): def findMaxForm(self, strs, m, n): """ :type strs: List[str] :type m: int :type n: int :rtype: int """ dp = [[0] * (n + 1) for _ in range(m + 1)] def counts(s): return sum(1 for c in s if c == '0'), \ ...

30.090909

83

0.413897

105

662

2.542857

0.314286

0.074906

0.059925

0.067416

0.104869

0

0.031915

0.432024

662

21

84

31.52381

0.678191

0.089124

0

0.003604

0

1

0.166667

false

0

0.083333

0.416667

0

null

0

null

0

1

0

e34633ea0534cf1b5136a4ecb84b248d7c202e57

416

py

Python

#103 - Ficha do Jogador.py

Lucas-HMSC/curso-python3

b6506d508107c9a43993a7b5795ee39fc3b7c79d

[ "MIT" ]

null

#103 - Ficha do Jogador.py

Lucas-HMSC/curso-python3

b6506d508107c9a43993a7b5795ee39fc3b7c79d

[ "MIT" ]

null

#103 - Ficha do Jogador.py

Lucas-HMSC/curso-python3

b6506d508107c9a43993a7b5795ee39fc3b7c79d

[ "MIT" ]

null

def ficha(nome, gols): if gols.isnumeric(): gols = int(gols) else: gols = 0 if nome.strip() != '': print(f'O jogador {nome} fez {gols} gol(s) no campeonato.') else: nome = '<desconhecido>' print(f'O jogador {nome} fez {gols} gol(s) no campeonato.') print('='*30)...

24.470588

67

0.560096

58

416

4.017241

0.448276

0.077253

0.111588

0.120172

0.351931

0

0.009772

0.262019

416

16

68

26

0.749186

0

0.285714

0

0.350962

0

1

0.071429

false

0

0.071429

0.214286

0

null

0

null

0

1

0

e347e8efaaade3a7b28a992e4961e185b12004e3

2,079

py

Python

app/business_layers/presentation.py

martireg/bmat

b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c

[ "MIT" ]

null

app/business_layers/presentation.py

martireg/bmat

b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c

[ "MIT" ]

null

app/business_layers/presentation.py

martireg/bmat

b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c

[ "MIT" ]

null

from typing import List, Dict from fastapi import APIRouter, UploadFile, File, Depends, HTTPException from pydantic import create_model from starlette.responses import StreamingResponse from app.business_layers.domain import Work from app.business_layers.repository import WorkRepository from app.business_layers.use_c...

34.65

101

0.746032

299

2,079

4.959866

0.324415

0.028321

0.032367

0.037761

0.138908

0.079568

0.033715

0

0.003928

0.142857

2,079

59

102

35.237288

0.828283

0.047619

0

0.072801

0

1

0

false

0

0.209302

0

0.348837

0

null

0

null

0

1

0

e349722dbbb7eaf1a0dc75722c25f01806dbcca5

3,632

py

Python

language/serene/boolq_tfds.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

1,199

2018-10-16T01:30:18.000Z

2022-03-31T21:05:24.000Z

language/serene/boolq_tfds.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

116

2018-10-18T03:31:46.000Z

2022-03-24T13:40:50.000Z

language/serene/boolq_tfds.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

303

2018-10-22T12:35:12.000Z

2022-03-27T17:38:17.000Z

# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...

32.141593

75

0.593337

398

3,632

5.233668

0.444724

0.046087

0.026884

0.025924

0.12482

0.102736

0

0.007232

0.314703

3,632

112

76

32.428571

0.82965

0.257159

0

0.320988

0

0.100638

0

1

0.049383

false

0.012346

0.061728

0.012346

0.160494

0

null

0

null

0

1

0

e34cc6ddd23022672aee1685f571b987ab87c815

936

py

Python

services/viewcounts/utils.py

RyanFleck/AuxilliaryWebsiteServices

bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378

[ "MIT" ]

1

2020-11-11T20:20:42.000Z

services/viewcounts/utils.py

RyanFleck/AuxilliaryWebsiteServices

bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378

[ "MIT" ]

17

2020-11-09T19:04:04.000Z

2022-03-01T18:08:42.000Z

services/viewcounts/utils.py

RyanFleck/AuxilliaryWebsiteServices

bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378

[ "MIT" ]

null

from slugify import slugify from services.viewcounts.models import PageViewsModel def get_page_views(url: str): """Returns the number of views for a given page object.""" # Pre-processing checks: Client should not pass full or partial URL. if not url.startswith("/"): raise Exception("Partial URL...

28.363636

73

0.672009

141

936

4.397163

0.503546

0.058065

0.048387

0.06129

0.096774

0

0.005548

0.229701

936

32

74

29.25

0.854369

0.269231

0

0.179104

0

1

0.125

false

0

0.125

0

0.375

0.0625

0

null

0

null

0

1

0

e34da2a39a4311b17cd41e029318a815155da9e9

9,875

py

Python

bin/gaussian_process_samples.py

ltiao/videos

ba371078d107da5a4c726a957b31a29bb157664d

[ "MIT" ]

null

bin/gaussian_process_samples.py

ltiao/videos

ba371078d107da5a4c726a957b31a29bb157664d

[ "MIT" ]

null

bin/gaussian_process_samples.py

ltiao/videos

ba371078d107da5a4c726a957b31a29bb157664d

[ "MIT" ]

null

import tensorflow as tf import tensorflow_probability as tfp from scipy.stats import expon from videos.linalg import safe_cholesky from manim import * # shortcuts tfd = tfp.distributions kernels = tfp.math.psd_kernels def default_float(): return "float64" class State: def __init__(self, kernel, x_grid, x...

35.142349

127

0.582278

1,388

9,875

3.898415

0.177954

0.033266

0.030493

0.022177

0.377195

0.326187

0.2798

0.262244

0.249861

0.231011

0

0.020948

0.299038

9,875

280

128

35.267857

0.760763

0.098228

0

0.194872

0

0.005411

0

1

0.112821

false

0

0.025641

0.020513

0.246154

0

null

0

null

0

1

0

e34e43e9e1aa6f169f4e3ce01d35a03a886c9108

932

py

Python

app/api/v2/models/base_models.py

erick-maina/Questioner_API

0ffad203fd525e22b52e861ce574803a844cc3b3

[ "MIT" ]

null

app/api/v2/models/base_models.py

erick-maina/Questioner_API

0ffad203fd525e22b52e861ce574803a844cc3b3

[ "MIT" ]

7

2019-01-15T12:23:59.000Z

2019-01-20T17:32:45.000Z

app/api/v2/models/base_models.py

erick-maina/Questioner_API

0ffad203fd525e22b52e861ce574803a844cc3b3

[ "MIT" ]

null

""" This module defines the base model and associated functions """ from flask import Flask, jsonify from psycopg2.extras import RealDictCursor from ....database import db_con class BaseModels(object): """ This class encapsulates the functions of the base model that will be shared across all other models...

30.064516

69

0.648069

115

932

5.182609

0.573913

0.035235

0.040268

0

0.002874

0.253219

932

30

70

31.066667

0.853448

0.332618

0

0.054482

0

1

0.142857

false

0

0.214286

0

0.5

0

null

0

null

0

1

0

e350ce9086d7c563b5e1154ba5f38a8024e85d87

779

py

Python

inconnu/traits/traitcommon.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

4

2021-09-06T20:18:13.000Z

2022-02-05T17:08:44.000Z

inconnu/traits/traitcommon.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

7

2021-09-13T00:46:57.000Z

2022-01-11T06:38:50.000Z

inconnu/traits/traitcommon.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

2

2021-11-27T22:24:53.000Z

2022-03-16T21:05:00.000Z

"""traits/traitcommon.py - Common functionality across trait operations.""" import re from ..constants import UNIVERSAL_TRAITS VALID_TRAIT_PATTERN = re.compile(r"^[A-z_]+$") def validate_trait_names(*traits): """ Raises a ValueError if a trait doesn't exist and a SyntaxError if the syntax is bad. ""...

33.869565

100

0.671374

107

779

4.785047

0.551402

0.041016

0.066406

0

0.006568

0.218229

779

22

101

35.409091

0.834154

0.197689

0

0.321667

0.036667

0

1

0.090909

false

0

0.181818

0

0.272727

0

null

0

null

0

1

0

e355aa3c3d4c58a325cb59719ca07b7c1a10df4b

2,293

py

Python

docker_ml_templates/simple_batch_model/container/src/tests/test_model.py

MadMedian/ubik

d8dabf0a26db1e35c653b23facb5045f2ae7bf0d

[ "Apache-2.0" ]

null

docker_ml_templates/simple_batch_model/container/src/tests/test_model.py

MadMedian/ubik

d8dabf0a26db1e35c653b23facb5045f2ae7bf0d

[ "Apache-2.0" ]

null

docker_ml_templates/simple_batch_model/container/src/tests/test_model.py

MadMedian/ubik

d8dabf0a26db1e35c653b23facb5045f2ae7bf0d

[ "Apache-2.0" ]

null

import unittest from ..model import RandomForestWithFeatureSelection from sklearn.model_selection import train_test_split import os import numpy as np def create_dataset(n_rows=1000, n_feats=10, pos_loc=2.0, neg_loc=0.0, pos_scale=3.0, neg_scale=3.0, random_state=1): np.random.seed(random_state...

39.534483

113

0.69167

339

2,293

4.383481

0.238938

0.081427

0.050471

0.056528

0.462988

0.440108

0.356662

0.263795

0

0.019978

0.192324

2,293

57

114

40.22807

0.782397

0

0.177778

0

0.034889

0

0.111111

1

0.111111

false

0

0.111111

0

0.288889

0

null

0

null

0

1

0

e357ec80e01c5cb1d929b33f8d9bbb4379d90eae

43,051

py

Python

DataAnalysis.py

ben-dent/Contract-Cheating-Analysis

28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df

[ "MIT" ]

null

DataAnalysis.py

ben-dent/Contract-Cheating-Analysis

28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df

[ "MIT" ]

null

DataAnalysis.py

ben-dent/Contract-Cheating-Analysis

28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df

[ "MIT" ]

null

import matplotlib.pyplot as plt; plt.rcdefaults() import csv import sqlite3 as lite from calendar import monthrange from datetime import datetime, date, timedelta from datetimerange import DateTimeRange import numpy as np import pycountry_convert as pc from dateutil.relativedelta import relativedelta from forex_pytho...

31.016571

184

0.551207

4,617

43,051

5.119558

0.10548

0.02073

0.016246

0.008377

0.646063

0.610653

0.573254

0.55887

0.547066

0.526632

0

0.01628

0.312281

43,051

1,388

185

31.016571

0.782079

0.044575

0

0.568769

0

0.004137

0.13025

0.001023

0.001034

0

1

0.033092

false

0

0.01241

0

0.061013

0.015512

0

null

0

null

0

1

0

e359de552a30d24e6371b5e1ad922405353576ab

1,733

py

Python

deploy_flask_plotly/app.py

mohamedsaadmoustafa/Arabic_Dialect_Classification

a13e92ddaa8fda5afcc40d1ce97946174f9a4674

[ "BSD-3-Clause" ]

null

deploy_flask_plotly/app.py

mohamedsaadmoustafa/Arabic_Dialect_Classification

a13e92ddaa8fda5afcc40d1ce97946174f9a4674

[ "BSD-3-Clause" ]

null

deploy_flask_plotly/app.py

mohamedsaadmoustafa/Arabic_Dialect_Classification

a13e92ddaa8fda5afcc40d1ce97946174f9a4674

[ "BSD-3-Clause" ]

1

2022-03-14T19:41:57.000Z

from flask import Flask, render_template, request, jsonify import numpy as np import pickle import sys import json import re app = Flask(__name__) app.config['JSON_AS_ASCII'] = False target_names = [ 'AE', 'BH', 'DZ', 'EG', 'IQ', 'JO', 'KW', 'LB', 'LY', 'MA', 'OM','PL', 'QA', ...

27.507937

112

0.562031

226

1,733

4.154867

0.50885

0.047923

0.038339

0

0.007675

0.248125

1,733

63

113

27.507937

0.71297

0.028275

0

0.219271

0

1

0.06383

false

0

0.12766

0

0.255319

0.042553

0

null

0

null

0

1

0

e359e595d02499d12ce9088ccf34ac138ffada36

384

py

Python

2018/2/hash.py

octonion/adventofcode

132e8bf0c9bc0ad64a0e12e22170177df4947e37

[ "MIT" ]

1

2019-01-10T09:43:34.000Z

2018/2/hash.py

octonion/adventofcode

132e8bf0c9bc0ad64a0e12e22170177df4947e37

[ "MIT" ]

null

2018/2/hash.py

octonion/adventofcode

132e8bf0c9bc0ad64a0e12e22170177df4947e37

[ "MIT" ]

null

data = [i.strip() for i in open("input.txt").readlines()] two = 0 three = 0 for code in data: counts = {} for i in range(0,len(code)): if code[i] in counts.keys(): counts[code[i]] += 1 else: counts[code[i]] = 1 if (2 in counts.values()): two += 1 if (3 in...

21.333333

57

0.492188

58

384

3.258621

0.413793

0.047619

0.063492

0.126984

0

0.035714

0.34375

384

17

58

22.588235

0.714286

0

0.023438

0

1

0

false

0

0.066667

0

null

0

null

0

1

0

e35b469d7625c1fa8f422ae121b4eaab1ed606da

10,171

py

Python

origin/app_bb_modifier.py

nukeguys/myutil

65d0aff36ec45bffbd2e52fea0fabfbabd5609b1

[ "Apache-2.0" ]

null

origin/app_bb_modifier.py

nukeguys/myutil

65d0aff36ec45bffbd2e52fea0fabfbabd5609b1

[ "Apache-2.0" ]

null

origin/app_bb_modifier.py

nukeguys/myutil

65d0aff36ec45bffbd2e52fea0fabfbabd5609b1

[ "Apache-2.0" ]

null

#!/usr/bin/python3 import sys import os import io from orderedset import OrderedSet from shell import Shell import logpath as LogPath VERSION = '1.1' HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' current_path...

39.730469

125

0.534756

1,155

10,171

4.627706

0.193074

0.022638

0.016464

0.022451

0.240225

0.200187

0.16913

0.156408

0

0.016525

0.3158

10,171

255

126

39.886275

0.751545

0.026153

0

0.101322

0

0.044053

0.169497

0.037801

0

1

0.105727

false

0

0.026432

0

0.22467

0.088106

0

null

0

null

0

1

0

e35b94ca7170c796ccad0fbd61ea4ee542cd52e0

3,514

py

Python

gamebike/controlmapbits.py

johnlpage/gamebike

429736d0238dca2961763f2a33d8e4e72ed97364

[ "Apache-2.0" ]

null

gamebike/controlmapbits.py

johnlpage/gamebike

429736d0238dca2961763f2a33d8e4e72ed97364

[ "Apache-2.0" ]

null

gamebike/controlmapbits.py

johnlpage/gamebike

429736d0238dca2961763f2a33d8e4e72ed97364

[ "Apache-2.0" ]

null

# These were used when I was trying to map between controllers # To map to a wheel - but was defeated in that by using a driver # 2021 comment (What did I mean there?) GAMEPAD_TRIANGLE = (0, 0x08) GAMEPAD_CIRCLE = (0, 0x04) GAMEPAD_CROSS = (0, 0x02) GAMEPAD_SQUARE = (0, 0x01) GAMEPAD_DPAD_MASK = 0x0F GAMEPAD_DPAD_NON...

24.746479

79

0.726807

538

3,514

4.399628

0.280669

0.057034

0.021546

0.00507

0.213773

0.205323

0

0.090971

0.164769

3,514

142

80

24.746479

0.715503

0.132328

0

0.173077

0

0.082345

0

1

0

false

0

null

0

null

0

1

0

e360941b07ce2d49e4d682a79c218a27dc642b96

1,696

py

Python

tests/test_init.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

1

2021-11-30T06:47:24.000Z

tests/test_init.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

1

2021-04-08T12:56:39.000Z

tests/test_init.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

null

from pathlib import Path from click.testing import CliRunner from resolos.interface import res, res_run from resolos.shell import run_shell_cmd from tests.common import verify_result import logging logger = logging.getLogger(__name__) def test_init_empty(): runner = CliRunner() with runner.isolated_filesyste...

34.612245

108

0.595519

193

1,696

4.984456

0.393782

0.121622

0.138254

0.129938

0.556133

0.507277

0.251559

0

0.004174

0.293632

1,696

48

109

35.333333

0.798831

0

0.27907

0

0.023256

0.212854

0.042453

0

0.209302

1

0.046512

false

0

0.139535

0

0.186047

0

null

0

null

0

1

0

e36654005301b9cf41913be091e578a74c259424

1,669

py

Python

pythonapm/collector/test_reqhandler.py

nextapm/pythonapm

ddd8ad374e4f268516fc81f0bf710206565b737e

[ "FTL" ]

null

pythonapm/collector/test_reqhandler.py

nextapm/pythonapm

ddd8ad374e4f268516fc81f0bf710206565b737e

[ "FTL" ]

null

pythonapm/collector/test_reqhandler.py

nextapm/pythonapm

ddd8ad374e4f268516fc81f0bf710206565b737e

[ "FTL" ]

null

import unittest import json import requests from unittest import mock from .reqhandler import send_req from pythonapm.agent import Agent from pythonapm import constants class Resp: def __init__(self): self.data = json.dumps({'txn':'success'}) def json(self): return json.loads(self.data) cl...

37.931818

233

0.711803

216

1,669

5.319444

0.319444

0.039164

0.070496

0.197563

0

0.000714

0.161174

1,669

43

234

38.813953

0.82

0

0.270546

0.15177

0

0.121212

1

0.121212

false

0

0.212121

0.030303

0.424242

0.030303

0

null

0

null

0

1

0

e369c6172f4572b618818bae53263220f4153bc2

934

py

Python

util/label.py

bluehackmaster/bl-api-objdetect

dc8b514e62346904c3b9ab7e88987461721dd6b0

[ "Apache-2.0" ]

null

util/label.py

bluehackmaster/bl-api-objdetect

dc8b514e62346904c3b9ab7e88987461721dd6b0

[ "Apache-2.0" ]

16

2020-01-28T21:56:54.000Z

2022-03-11T23:15:09.000Z

util/label.py

bluehackmaster/bl-api-objdetect

dc8b514e62346904c3b9ab7e88987461721dd6b0

[ "Apache-2.0" ]

1

2017-10-17T04:52:08.000Z

def convert_class_to_code(label_map, max_num_classes, use_display_name=True): categories = [] list_of_ids_already_added = [] if not label_map: label_id_offset = 1 for class_id in range(max_num_classes): categories.append({ 'id': class_id +...

33.357143

72

0.635974

128

934

4.328125

0.367188

0.054152

0.070397

0.086643

0.185921

0

0.002941

0.271949

934

27

73

34.592593

0.811765

0

0.076923

0

0.105038

0

1

0.038462

false

0

0.115385

0

null

0

null

0

1

0

e36ae367550f66dd2b4a1cdb03a10bf47b3c6b9c

5,694

py

Python

hdp_api/routes/__init__.py

CedricCazinHC/HyperAPI

789419b95679faf550a57773b9cc57107b2b8504

[ "BSD-3-Clause" ]

null

hdp_api/routes/__init__.py

CedricCazinHC/HyperAPI

789419b95679faf550a57773b9cc57107b2b8504

[ "BSD-3-Clause" ]

null

hdp_api/routes/__init__.py

CedricCazinHC/HyperAPI

789419b95679faf550a57773b9cc57107b2b8504

[ "BSD-3-Clause" ]

null

from abc import ABCMeta, abstractproperty, abstractmethod import inspect import random import re import time from requests.exceptions import HTTPError class RoutePathInvalidException(Exception): def __init__(self, name, value, path, validator): self.path = path self.name = name self.value =...

31.114754

131

0.592378

634

5,694

5.020505

0.225552

0.03016

0.020421

0.028275

0.404964

0.340245

0.278668

0.24568

0

0.013248

0.284159

5,694

182

132

31.285714

0.767664

0.053565

0

0.457746

0

0.050813

0

1

0.161972

false

0

0.042254

0.06338

0.457746

0.007042

0

null

0

null

0

1

0

e36c689a2b24e54549cda9f00830211a35aefafa

5,141

py

Python

source.py

Sakshisingh05/ClockChian

21ce1005c83b003a9fc62203d03c50b3e8f70793

[ "MIT" ]

null

source.py

Sakshisingh05/ClockChian

21ce1005c83b003a9fc62203d03c50b3e8f70793

[ "MIT" ]

null

source.py

Sakshisingh05/ClockChian

21ce1005c83b003a9fc62203d03c50b3e8f70793

[ "MIT" ]

null

from flask import Flask from flask import render_template, redirect, url_for from flask import request import blockChain app = Flask(__name__) @app.route('/', methods=['GET', 'POST']) def index(): # print(request.method ) if request.method == 'POST': text = request.form['text'] if len(text) < ...

29.545977

108

0.606497

682

5,141

4.334311

0.16129

0.051421

0.051759

0.042287

0.479364

0.406631

0.305819

0.23207

0.207713

0

0.010419

0.253258

5,141

173

109

29.716763

0.759573

0.016923

0

0.371429

0

0.082591

0

1

0.071429

false

0

0.057143

0

0.214286

0.05

0

null

0

null

0

1

0

e36e0bc7f72121825603a719d4feff88206f860b

5,668

py

Python

download_pinterest_images.py

BrunoKrinski/pinterest_download_tools

c804f83bc97c418ea44f1d179ad9864e90631fe5

[ "MIT" ]

1

2022-03-07T04:38:26.000Z

download_pinterest_images.py

BrunoKrinski/pinterest_download_tools

c804f83bc97c418ea44f1d179ad9864e90631fe5

[ "MIT" ]

null

download_pinterest_images.py

BrunoKrinski/pinterest_download_tools

c804f83bc97c418ea44f1d179ad9864e90631fe5

[ "MIT" ]

null

import os import wget import time import argparse import subprocess import geckodriver_autoinstaller import chromedriver_autoinstaller from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver import FirefoxOptions from selenium.webdriver import DesiredCapabilities fr...

35.873418

114

0.569689

636

5,668

4.946541

0.308176

0.049587

0.060076

0.034329

0.211697

0.158932

0.143039

0.109981

0.054037

0

0.007965

0.313338

5,668

157

115

36.101911

0.80036

0.07657

0

0.141667

0

0.016667

0.197155

0.023508

0

1

0.016667

false

0

0.166667

0

0.191667

0.083333

0

null

0

null

0

1

0

e3727e0484521064be92f2b66e6c5b9dd289ef54

897

py

Python

kinsumer/helpers.py

ungikim/kinsumer

01bd9626d985bc3c239b979f0d98094f78cc102f

[ "MIT" ]

5

2018-03-09T05:16:38.000Z

2021-11-12T11:56:18.000Z

kinsumer/helpers.py

ungikim/kinsumer

01bd9626d985bc3c239b979f0d98094f78cc102f

[ "MIT" ]

2

2017-10-16T06:38:28.000Z

2017-10-18T08:05:37.000Z

kinsumer/helpers.py

balancehero/kinsumer

01bd9626d985bc3c239b979f0d98094f78cc102f

[ "MIT" ]

1

2017-10-18T08:15:28.000Z

""":mod:`kinsumer.helpers` --- Implements various helpers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ """ from threading import RLock _missing = object() class locked_cached_property(object): def __init__(self, func, name=None, doc=None): self.__name__ = name or func.__name__ self....

27.181818

61

0.570792

103

897

4.407767

0.38835

0.052863

0

0.276477

897

32

62

28.03125

0.699538

0.124861

0

1

0.136364

false

0

0.045455

0

0.318182

0

null

0

null

0

1

0