xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

da0cc012c8071ddd102f587a464226bdf7578158

1,381

py

Python

app.py

dhairyaostwal/bankingo

cc148940a9d4ae60d80acdc2e3c90a01a8a99c46

[ "MIT" ]

2

2021-12-11T02:32:35.000Z

2021-12-12T08:42:41.000Z

app.py

dhairyaostwal/bankingo

cc148940a9d4ae60d80acdc2e3c90a01a8a99c46

[ "MIT" ]

null

app.py

dhairyaostwal/bankingo

cc148940a9d4ae60d80acdc2e3c90a01a8a99c46

[ "MIT" ]

null

from flask import Flask, render_template, request import pickle app = Flask(__name__) userInput = [] @app.route("/", methods=["GET", "POST"]) def hello(): userInput.clear() if request.method == "POST": variance = request.form.get("variance") skewness = request.form.get("skewness") cu...

26.557692

54

0.620565

152

1,381

5.5

0.447368

0.100478

0.119617

0.07177

0.165072

0

0.002882

0.246198

1,381

52

55

26.557692

0.800192

0.041274

0

0.108108

0

0.145234

0

1

0.081081

false

0

0.054054

0.27027

0.054054

0

null

0

null

0

1

0

da0d025051a5ed1885fbb8e49bb40af12912744c

3,210

py

Python

AlarmTimer.py

amjith/PyAlarmTimer

f664daa42d9ec70fc7ac512ce71868c703e8a011

[ "MIT" ]

2

2015-01-13T00:36:29.000Z

2015-04-12T19:17:32.000Z

AlarmTimer.py

amjith/PyAlarmTimer

f664daa42d9ec70fc7ac512ce71868c703e8a011

[ "MIT" ]

1

2015-01-12T23:02:28.000Z

2015-01-13T00:36:26.000Z

AlarmTimer.py

amjith/PyAlarmTimer

f664daa42d9ec70fc7ac512ce71868c703e8a011

[ "MIT" ]

null

import sys from PyQt4 import QtCore, QtGui from itertools import cycle from Resources.LcdNumber_ui import Ui_Form class AlarmTimer(QtGui.QMainWindow): def __init__(self, timer_values, parent=None): QtGui.QWidget.__init__(self, parent) QtGui.QMainWindow.__init__(self, None, QtCore.Qt.WindowStaysOn...

33.092784

121

0.610592

385

3,210

4.942857

0.348052

0.046243

0.063058

0.033631

0.20494

0.139254

0.119285

0.037835

0

0.014442

0.288162

3,210

96

122

33.4375

0.818381

0.098131

0

0.213333

0

0.03294

0

1

0.12

false

0

0.053333

0

0.226667

0

null

0

null

0

1

0

da0dfc1a5ddc1f3fd9cff38b3e12d87c2cfff865

3,200

py

Python

backend/handlers/graphql/resolvers/quota.py

al-indigo/vmemperor

80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1

[ "Apache-2.0" ]

null

backend/handlers/graphql/resolvers/quota.py

al-indigo/vmemperor

80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1

[ "Apache-2.0" ]

8

2017-10-11T13:26:10.000Z

2021-12-13T20:27:52.000Z

backend/handlers/graphql/resolvers/quota.py

ispras/vmemperor

80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1

[ "Apache-2.0" ]

4

2017-07-27T12:25:42.000Z

2018-01-28T02:06:26.000Z

from graphql import ResolveInfo from rethinkdb.errors import ReqlNonExistenceError from handlers.graphql.graphql_handler import ContextProtocol from handlers.graphql.types.pool import Quota from handlers.graphql.utils.query import resolve_from_root import constants.re as re from utils.quota import check_vdi_size, chec...

32

123

0.690938

446

3,200

4.748879

0.201794

0.037771

0.0661

0.054769

0.621341

0.556185

0.508026

0.429651

0

0.000792

0.210625

3,200

99

124

32.323232

0.837688

0

0.478873

0

0.101753

0

1

0.070423

false

0

0.140845

0

0.309859

0

null

0

null

0

1

0

da0e334dd350b538cbe6369f8de20266f08cd7ab

23,670

py

Python

webapp/creators/parse_eml.py

PASTAplus/umbra

25f179801ab86d6506759b19849de1f7a8bf9e8d

[ "Apache-2.0" ]

null

webapp/creators/parse_eml.py

PASTAplus/umbra

25f179801ab86d6506759b19849de1f7a8bf9e8d

[ "Apache-2.0" ]

null

webapp/creators/parse_eml.py

PASTAplus/umbra

25f179801ab86d6506759b19849de1f7a8bf9e8d

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ :Mod: propagate_names :Synopsis: Parse EML files to collect information on the responsible parties, creating RESPONSIBLE_PARTIES_TEXT_FILE. :Author: ide :Created: 6/1/21 """ from enum import Enum, auto import glob import os import pickle import daiquiri fr...

35.170877

159

0.673722

2,855

23,670

5.239229

0.100525

0.041182

0.015644

0.020858

0.574007

0.518853

0.458484

0.391496

0.334336

0.324041

0

0.00245

0.241318

23,670

672

160

35.223214

0.830493

0.075792

0

0.323045

0

0.039316

0.021583

0

1

0.098765

false

0.004115

0.026749

0.018519

0.257202

0.00823

0

null

0

null

0

1

0

da0fb1e76df7bb263d04fdeb069e451fb04e547a

2,756

py

Python

pp/components/ring_single.py

flaport/gdsfactory

1f2e844c1fe27b9c6340e2d51500fd3358fa16e5

[ "MIT" ]

8

2020-08-25T11:25:18.000Z

2022-03-27T11:32:11.000Z

pp/components/ring_single.py

flaport/gdsfactory

1f2e844c1fe27b9c6340e2d51500fd3358fa16e5

[ "MIT" ]

null

pp/components/ring_single.py

flaport/gdsfactory

1f2e844c1fe27b9c6340e2d51500fd3358fa16e5

[ "MIT" ]

1

2022-03-04T07:03:29.000Z

from typing import Callable from pp.cell import cell from pp.component import Component from pp.components.bend_circular import bend_circular from pp.components.coupler_ring import coupler_ring from pp.components.waveguide import waveguide as waveguide_function from pp.config import call_if_func from pp.drc import ass...

27.56

90

0.645501

400

2,756

4.2575

0.25

0.032883

0.023488

0.017616

0.086905

0.050499

0

0.018634

0.240566

2,756

99

91

27.838384

0.795031

0.286647

0

0.021552

0

0.039216

1

0.019608

false

0

0.176471

0

0.215686

0

null

0

null

0

1

0

da1152e98be68574744964ed8c665a43ee954229

13,297

py

Python

src/services/db/oracle.py

daesnorey/PPRJ

f826eb194f895d13522f61a51a5100a5cdbead99

[ "Apache-2.0" ]

null

src/services/db/oracle.py

daesnorey/PPRJ

f826eb194f895d13522f61a51a5100a5cdbead99

[ "Apache-2.0" ]

null

src/services/db/oracle.py

daesnorey/PPRJ

f826eb194f895d13522f61a51a5100a5cdbead99

[ "Apache-2.0" ]

null

"""oracle.py. db_connection.py file will contain the connection behaviour to the database """ import traceback import random import copy import cx_Oracle import json from src.objects.third import Third from src.services.db.db_types import DbTypes class Oracle(object): """Oracle class will handle the conection to...

31.88729

137

0.518087

1,379

13,297

4.704859

0.166062

0.010789

0.012947

0.015413

0.183724

0.156134

0.120376

0.110512

0.083847

0

0.009855

0.381891

13,297

416

138

31.963942

0.779535

0.106565

0

0.250883

0

0.063891

0

1

0.053004

false

0.010601

0.024735

0

0.137809

0.045936

0

null

0

null

0

1

0

da11fc5980e78cefaeb92357886c125f256182a0

439

py

Python

exercicio_py/ex0007_progressao_aritmetica/main_v1.py

danielle8farias/Exercicios-Python-3

f2fe9b6ca63536df1d83fd10162cfc04de36b830

[ "MIT" ]

null

exercicio_py/ex0007_progressao_aritmetica/main_v1.py

danielle8farias/Exercicios-Python-3

f2fe9b6ca63536df1d83fd10162cfc04de36b830

[ "MIT" ]

null

exercicio_py/ex0007_progressao_aritmetica/main_v1.py

danielle8farias/Exercicios-Python-3

f2fe9b6ca63536df1d83fd10162cfc04de36b830

[ "MIT" ]

null

######## # autora: danielle8farias@gmail.com # repositório: https://github.com/danielle8farias # Descrição: Usuário informa o 1º termo de uma PA e sua razão. O programa retorna os 10 primeiros termos dessa PA. ######## A1 = int(input('Primeiro termo: ')) r = int(input('Razão: ')) i = 1 An = A1 while i < 11: pri...

23.105263

114

0.610478

65

439

4.123077

0.676923

0.022388

0

0.037791

0.216401

439

18

115

24.388889

0.741279

0.537585

0

0.187845

0

1

0

false

0

0.222222

0

null

0

null

0

1

0

da12532f996b1734f9456dcccabecc881b1e321b

2,165

py

Python

rns/viz.py

matwilso/relation-networks

66c67b342a90ae3699e576dcec883c329905b2e0

[ "MIT" ]

null

rns/viz.py

matwilso/relation-networks

66c67b342a90ae3699e576dcec883c329905b2e0

[ "MIT" ]

null

rns/viz.py

matwilso/relation-networks

66c67b342a90ae3699e576dcec883c329905b2e0

[ "MIT" ]

null

import io import os import matplotlib.pyplot as plt import matplotlib.patches as mpatches import seaborn as sns from rns.constant import W, H # Plotter functions PLOT_FUNCS = {} def register_plotter(func): PLOT_FUNCS[func.__name__] = func def func_wrapper(images, **conv_kwargs): return func(images, **...

27.0625

112

0.639261

332

2,165

4.03012

0.298193

0.041854

0.053812

0.038864

0.168161

0.129297

0.068759

0

0.021155

0.192148

2,165

79

113

27.405063

0.743854

0.022633

0

0.109375

0

0.063003

0

1

0.125

false

0

0.09375

0.015625

0.3125

0

null

0

null

0

1

0

da160107a31d4d4dd133e4fba3b2b4c6286bd983

2,955

py

Python

pycurb/time_rule.py

azavea/PyCurb

9492ca40b0639680b73aa7bdfcf9f744f9e75727

[ "Apache-2.0" ]

null

pycurb/time_rule.py

azavea/PyCurb

9492ca40b0639680b73aa7bdfcf9f744f9e75727

[ "Apache-2.0" ]

8

2020-09-30T17:15:50.000Z

2020-10-23T21:00:53.000Z

pycurb/time_rule.py

azavea/PyCurb

9492ca40b0639680b73aa7bdfcf9f744f9e75727

[ "Apache-2.0" ]

null

from abc import ABC from pycurb.utils import (parse_date, parse_day_of_month, parse_day_of_week, parse_occurrence, parse_time) class TimeRule(ABC): pass class DaysOfWeek(TimeRule): def __init__(self, days, occurences_in_month=None): if isinstance(days, str): da...

26.863636

77

0.575973

394

2,955

4.068528

0.154822

0.044916

0.046787

0.059264

0.361822

0.25577

0.1335

0.107299

0

0.002844

0.285956

2,955

109

78

27.110092

0.756872

0

0.256098

0

0.042301

0

1

0.195122

false

0.012195

0.02439

0.097561

0.426829

0

null

0

null

0

1

0

da170ec47cebeb13d6c068d32835dcf9ac0425e1

2,653

py

Python

amrlib/models/parse_gsii/vocabs.py

plandes/amrlib

c31f92f05a265362367eea85f512e54030860147

[ "MIT" ]

103

2020-09-04T07:21:09.000Z

2022-03-31T23:06:41.000Z

amrlib/models/parse_gsii/vocabs.py

plandes/amrlib

c31f92f05a265362367eea85f512e54030860147

[ "MIT" ]

39

2020-09-03T14:26:22.000Z

2022-03-08T20:18:59.000Z

amrlib/models/parse_gsii/vocabs.py

plandes/amrlib

c31f92f05a265362367eea85f512e54030860147

[ "MIT" ]

19

2020-09-30T12:15:08.000Z

2022-02-18T18:15:31.000Z

import os PAD, UNK, DUM, NIL, END, CLS = '<PAD>', '<UNK>', '<DUMMY>', '<NULL>', '<END>', '<CLS>' # Note: for the function that saves the vocabs, see create_vocabs.py def get_vocabs(vocab_dir): vocabs = dict() vocabs['tok'] = Vocab(os.path.join(vocab_dir, 'tok_vocab'), 5, [CLS]) vocabs['l...

37.366197

110

0.574821

344

2,653

4.235465

0.264535

0.054907

0.067948

0.092656

0.289636

0.264928

0.156486

0.043926

0

0.017433

0.286468

2,653

70

111

37.9

0.752245

0.024878

0

0.087719

0

0.083172

0.009671

0

1

0.140351

false

0

0.017544

0.070175

0.333333

0.017544

0

null

0

null

0

1

0

da1752aa56e3a9f32b692a7cdcc8c12c9105eaac

1,139

py

Python

MAR2020/MakingChange.py

dexterchan/DailyChallenge

1f38dc3b22983835836a84d6281777d8e20fce7a

[ "Apache-2.0" ]

null

MAR2020/MakingChange.py

dexterchan/DailyChallenge

1f38dc3b22983835836a84d6281777d8e20fce7a

[ "Apache-2.0" ]

null

MAR2020/MakingChange.py

dexterchan/DailyChallenge

1f38dc3b22983835836a84d6281777d8e20fce7a

[ "Apache-2.0" ]

null

#Given a list of possible coins in cents, and an amount (in cents) n, # return the minimum number of coins needed to create the amount n. # If it is not possible to create the amount using the given coin denomination, return None. #Here's an example and some starter code: #ANalysis, sort the list of possible coins O(n...

28.475

92

0.603161

191

1,139

3.534031

0.445026

0.059259

0.066667

0.071111

0.140741

0.093333

0

0.050971

0.276558

1,139

40

93

28.475

0.768204

0.510975

0

0.04059

0

1

0.055556

false

0

0.166667

0

null

0

null

0

1

0

da1ae3572abdad23c9e302bb355fe093cb9ac8e8

1,981

py

Python

graphid/util/util_grabdata.py

Erotemic/graphid

5d04c2eec609f135464a921ba03d9578fa6e22fd

[ "Apache-2.0" ]

4

2019-03-04T02:49:26.000Z

2021-10-06T00:51:13.000Z

graphid/util/util_grabdata.py

Erotemic/graphid

5d04c2eec609f135464a921ba03d9578fa6e22fd

[ "Apache-2.0" ]

1

2019-02-15T23:42:26.000Z

graphid/util/util_grabdata.py

Erotemic/graphid

5d04c2eec609f135464a921ba03d9578fa6e22fd

[ "Apache-2.0" ]

null

import ubelt as ub from os.path import exists # NOQA TESTIMG_URL_DICT = { 'astro.png' : 'https://i.imgur.com/KXhKM72.png', # Use instead of 'carl.jpg' : 'http://i.imgur.com/flTHWFD.jpg', 'grace.jpg' : 'http://i.imgur.com/rgQyu7r.jpg', 'jeff.png' : 'http://i.imgur.com/l00rECD.png', 'ada2.jpg' :...

34.754386

86

0.627461

273

1,981

4.399267

0.432234

0.064946

0.097419

0.129892

0.159867

0

0.01297

0.221605

1,981

56

87

35.375

0.765888

0.218576

0

0.40268

0

0.03125

1

0.03125

false

0

0.09375

0

0.15625

0

null

0

null

0

1

0

da1d6a02eeb844897d0b4f2d15640a391973f96d

1,971

py

Python

ENotePadAlgorithm/strEncrypt/Morse.py

xioacd99/EnhancedNotePad

b95da1c4d957061ad60015f3b9ab5c445b5a1bc4

[ "MIT" ]

null

ENotePadAlgorithm/strEncrypt/Morse.py

xioacd99/EnhancedNotePad

b95da1c4d957061ad60015f3b9ab5c445b5a1bc4

[ "MIT" ]

null

ENotePadAlgorithm/strEncrypt/Morse.py

xioacd99/EnhancedNotePad

b95da1c4d957061ad60015f3b9ab5c445b5a1bc4

[ "MIT" ]

null

# encode时会将非ANSII字符变为空格 # decode时会跳过非ANSII字符 # 摩斯电码加密的字符只有字符，数字，标点，不区分大小写 class MorseCoder: def __init__(self): self.encode_alphabet = {"A": ".-", "B": "-...", "C": "-.-.", "D": "-..", # 加密对照表 "E": ".", "F": "..-.", "G": "--.", "H": "....", "...

41.0625

115

0.367326

152

1,971

4.611842

0.526316

0.071327

0.10271

0.051355

0.068474

0

0.014377

0.364789

1,971

47

116

41.93617

0.545527

0.060883

0

0.124864

0

1

0.171429

false

0

0.085714

0.342857

0.028571

0

null

0

null

0

1

0

da1fedbc0ae28396d7b17794e490d8e258826958

4,800

py

Python

Yolov3_deepsort/Badminton_Service/player.py

Haosam/BadmintonAI

4a1e837109cd279fb7480b90b31003c259e063cf

[ "Apache-2.0" ]

null

Yolov3_deepsort/Badminton_Service/player.py

Haosam/BadmintonAI

4a1e837109cd279fb7480b90b31003c259e063cf

[ "Apache-2.0" ]

null

Yolov3_deepsort/Badminton_Service/player.py

Haosam/BadmintonAI

4a1e837109cd279fb7480b90b31003c259e063cf

[ "Apache-2.0" ]

null

from tkinter import * import cv2 # Global Variables, can be translated to database if it becomes production lcw = "Lee Chong Wei" swh = "Son Wan Ho" lyd = "Lee Yong Dae" kgj = "Kim Gi Jung" ksh = "Ko Sung Hyun" yys = "Yo Yeon Seong" csg = "Choi Sol Gyu" wcl = "Wang Chi-Lin" chl = "Chen Hung-Lin" lcw_hei...

33.103448

96

0.660417

692

4,800

4.453757

0.208092

0.034069

0.049319

0.019468

0.27255

0.209604

0.136924

0.100584

0.073978

0

0.055221

0.17

4,800

145

97

33.103448

0.718373

0.043333

0

0.047244

0

0.15056

0

1

0.055118

false

0

0.015748

0

0.15748

0.03937

0

null

0

null

0

1

0

da2374aced1b72eebcc58d79ed22779475feb324

4,749

py

Python

scripts/install.py

discord-package-bot/discord-package-bot

109603c57a668d75f6939e3c97aae72f2691640e

[ "MIT" ]

1

2021-07-12T05:56:00.000Z

scripts/install.py

discord-package-bot/discord-package-bot

109603c57a668d75f6939e3c97aae72f2691640e

[ "MIT" ]

null

scripts/install.py

discord-package-bot/discord-package-bot

109603c57a668d75f6939e3c97aae72f2691640e

[ "MIT" ]

null

""" syntax: | install <パッケージ> install update:<パッケージ> install file:<ファイル> syntax_description: | パッケージ: インストールするパッケージ。update:をつけると、パッケージが更新されます。ファイル: エクスポートしたファイルのパス。 --- パッケージをインストールします。 """ import os import re import requests import shlex import shutil import subprocess import sys import yaml import zipfile ...

34.664234

116

0.579912

576

4,749

4.739583

0.28125

0.047619

0.028571

0.024908

0.18315

0.164469

0.106593

0.064469

0

0.006683

0.243841

4,749

136

117

34.919118

0.752437

0.042114

0

0.159292

0

0.017699

0.299934

0.148646

0

1

0.026549

false

0.00885

0.097345

0

0.150442

0.106195

0

null

0

null

0

1

0

da24c7b3d7ea12e45a63e2df57343289b27d952a

1,565

py

Python

rlkeras/utils/memory.py

will-hcau/rlkeras

9cc36b238dae794197fcb8689a5a1ffa1c0a42c0

[ "MIT" ]

null

rlkeras/utils/memory.py

will-hcau/rlkeras

9cc36b238dae794197fcb8689a5a1ffa1c0a42c0

[ "MIT" ]

null

rlkeras/utils/memory.py

will-hcau/rlkeras

9cc36b238dae794197fcb8689a5a1ffa1c0a42c0

[ "MIT" ]

null

from collections import deque import numpy as np import random class RandomReplayBuffer(object): """Experience replay buffer that samples uniformly.""" def __init__(self, buffer_size): self.buffer_size = buffer_size self.buffer = deque(maxlen=buffer_size) def __len__(self): return...

28.454545

102

0.600639

207

1,565

4.318841

0.362319

0.0783

0.030201

0.044743

0.145414

0.0783

0

0.007353

0.304792

1,565

55

103

28.454545

0.814338

0.212141

0

1

0.137931

false

0

0.103448

0.034483

0.344828

0

null

0

null

0

1

0

da24d2c86b3410255d8a070349c1d9c6e890f449

6,335

py

Python

PathPlanning/RRTStar/rrt_star.py

cmuehlbacher/PythonRobotics

c66fccc71c681387ff61b59554694b25399ca790

[ "MIT" ]

38

2019-12-08T12:26:04.000Z

2022-03-06T11:29:08.000Z

PathPlanning/RRTStar/rrt_star.py

YoungGer/PythonRobotics

9b8f2bd88a3d516d8deb473693661c1aea59fe68

[ "MIT" ]

null

PathPlanning/RRTStar/rrt_star.py

YoungGer/PythonRobotics

9b8f2bd88a3d516d8deb473693661c1aea59fe68

[ "MIT" ]

15

2020-02-12T15:57:28.000Z

2021-08-28T07:39:18.000Z

""" Path planning Sample Code with RRT* author: Atsushi Sakai(@Atsushi_twi) """ import copy import math import os import sys import matplotlib.pyplot as plt sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../RRT/") try: from rrt import RRT except ImportError: raise show_an...

30.311005

99

0.572691

857

6,335

3.968495

0.199533

0.047339

0.056454

0.022934

0.206116

0.0788

0.051749

0.022346

0

0.011762

0.328966

6,335

208

100

30.456731

0.788285

0.06693

0

0.065693

0

0.020982

0

1

0.072993

false

0

0.051095

0

0.226277

0.036496

0

null

0

null

0

1

0

da2652bdef2ea0254c65e10f3f8343f49c9b32ff

745

py

Python

test/commentProcessor_test.py

ponder-lab/GitHub-Issue-Mining

5cff97bd2322894338c71f5ba7bd743e2e204a72

[ "MIT" ]

3

2021-04-18T04:07:35.000Z

2021-12-25T06:35:32.000Z

test/commentProcessor_test.py

ponder-lab/GitHub-Issue-Classifier

5cff97bd2322894338c71f5ba7bd743e2e204a72

[ "MIT" ]

4

2021-04-06T01:06:36.000Z

2021-08-06T00:34:53.000Z

test/commentProcessor_test.py

ponder-lab/GitHub-Issue-Mining

5cff97bd2322894338c71f5ba7bd743e2e204a72

[ "MIT" ]

null

from utils.commentProcessor import processComment TEST_CASES = [ { "test": "Hello this is a pre processed string", "expected_result": "hello pre processed string" }, { "test": "This string contains a screen name @y3pio tag", "expected_result": "this string contains screen na...

31.041667

77

0.628188

88

745

5.204545

0.431818

0.152838

0.078603

0

0.001808

0.257718

745

24

78

31.041667

0.826401

0

0.524129

0

0.045455

1

0.045455

false

0

0.045455

0

0.090909

0

null

0

null

0

1

0

da26ac275ef766fda1ea905a5a0277b1855e977b

7,275

py

Python

plus_reader/plus_highlighting.py

ShashkovS/plus_reader

e53a7af01ae480f7a63e33d01a0a99ea681e7fee

[ "MIT" ]

3

2017-11-27T10:01:42.000Z

2018-05-07T09:37:24.000Z

plus_reader/plus_highlighting.py

ShashkovS/plus_reader

e53a7af01ae480f7a63e33d01a0a99ea681e7fee

[ "MIT" ]

5

2017-09-28T09:53:13.000Z

2017-11-25T20:10:00.000Z

plus_reader/plus_highlighting.py

ShashkovS/plus_reader

e53a7af01ae480f7a63e33d01a0a99ea681e7fee

[ "MIT" ]

2

2017-09-14T11:56:07.000Z

2017-09-14T12:49:46.000Z

import logging import sys import traceback import numpy as np from PyQt5.QtGui import QPixmap, QPainter, QMouseEvent from PyQt5.QtWidgets import QApplication, QWidget, QGridLayout, QMenu, QSlider, QLabel from PyQt5.QtCore import Qt sys._excepthook = sys.excepthook def excepthook(excType, excValue, tracebackobj): ...

36.742424

134

0.650034

908

7,275

4.976872

0.227974

0.051339

0.066165

0.050454

0.315114

0.258022

0.193406

0.154016

0.147378

0.1341

0

0.007063

0.240962

7,275

197

135

36.928934

0.8113

0.011959

0

0.177914

0

0.038274

0

0.005076

0

1

0.104294

false

0.006135

0.042945

0

0.165644

0.006135

0

null

0

null

0

1

0

da27bfe1b6414a6b5de205fb3cd12650ba9370f4

22,206

py

Python

dlrnapi_client/shell.py

softwarefactory-project/dlrnapi_client

ad21fe759597968c0f691b37dc681232dcd8f2aa

[ "Apache-2.0" ]

1

2017-10-02T19:36:52.000Z

dlrnapi_client/shell.py

softwarefactory-project/dlrnapi_client

ad21fe759597968c0f691b37dc681232dcd8f2aa

[ "Apache-2.0" ]

4

2018-07-16T20:14:58.000Z

2022-02-04T07:03:03.000Z

dlrnapi_client/shell.py

softwarefactory-project/dlrnapi_client

ad21fe759597968c0f691b37dc681232dcd8f2aa

[ "Apache-2.0" ]

1

2019-12-09T14:40:47.000Z

# 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, software # distributed under t...

45.880165

79

0.577141

2,483

22,206

4.996778

0.125654

0.043443

0.035061

0.024502

0.610623

0.556541

0.497139

0.455307

0.416136

0.400983

0

0.002111

0.338737

22,206

483

80

45.975155

0.842822

0.058453

0

0.313433

0

0.231219

0.005031

0

1

0.029851

false

0.012438

0.034826

0

0.099502

0.007463

0

null

0

null

0

1

0

da27fd506b778e15d02b14a496203d5d175a39c3

1,051

py

Python

python-mundo3/ex094.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

1

2021-08-15T18:18:43.000Z

python-mundo3/ex094.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

null

python-mundo3/ex094.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

null

cadastro = dict() pessoas = list() soma = 0 while True: cadastro.clear() cadastro['nome'] = str(input('Nome: ')).capitalize() while True: cadastro['sexo'] = str(input('Sexo [M/F]: ')).upper() if cadastro['sexo'] in 'MF': break print('ERRO! Digite apenas M ou F!') cadastro['idade'] = int(input(...

27.657895

61

0.586108

157

1,051

3.923567

0.407643

0.038961

0.055195

0.064935

0.084416

0

0.005988

0.205519

1,051

37

62

28.405405

0.731737

0

0.162162

0

0.32921

0

1

0

false

0

0.324324

0

null

0

null

0

1

0

da296592fb077c1bc7a27382f8604a31a8ab30e3

520

py

Python

task2C.py

jfs60/Group-147-PartIA-Flood-Warning-System

3fb52e3e028ec8e0b70ccb1cfc61bcf76b42f2c1

[ "MIT" ]

null

task2C.py

jfs60/Group-147-PartIA-Flood-Warning-System

3fb52e3e028ec8e0b70ccb1cfc61bcf76b42f2c1

[ "MIT" ]

null

task2C.py

jfs60/Group-147-PartIA-Flood-Warning-System

3fb52e3e028ec8e0b70ccb1cfc61bcf76b42f2c1

[ "MIT" ]

1

2022-02-06T06:45:15.000Z

from floodsystem.station import MonitoringStation from floodsystem.stationdata import build_station_list, update_water_levels from floodsystem.flood import stations_highest_rel_level, stations_level_over_threshold def run (): stations = build_station_list() update_water_levels(stations) list = stations_h...

30.588235

87

0.775

67

520

5.58209

0.492537

0.120321

0.085562

0.117647

0.342246

0.176471

0

0.008989

0.144231

520

17

88

30.588235

0.831461

0

0.111324

0

1

0.076923

false

0

0.230769

0

0.307692

0.153846

0

null

0

null

0

1

0

da2e43a4657d302992b18fd2e6651b3dd93dac4f

6,112

py

Python

docs/examples/viz_emwave_animation.py

iamansoni/fury

2e7971a176c2540e10a9a6da861097583d08cb4a

[ "BSD-3-Clause" ]

149

2018-09-20T18:36:16.000Z

2022-03-29T05:16:25.000Z

docs/examples/viz_emwave_animation.py

iamansoni/fury

2e7971a176c2540e10a9a6da861097583d08cb4a

[ "BSD-3-Clause" ]

523

2018-09-20T16:57:16.000Z

2022-03-31T18:52:41.000Z

docs/examples/viz_emwave_animation.py

iamansoni/fury

2e7971a176c2540e10a9a6da861097583d08cb4a

[ "BSD-3-Clause" ]

150

2018-10-10T07:21:27.000Z

2022-03-29T08:33:17.000Z

""" =============================================== Electromagnetic Wave Propagation Animation =============================================== A linearly polarized sinusoidal electromagnetic wave, propagating in the direction +x through a homogeneous, isotropic, dissipationless medium, such as vacuum. The electric fie...

34.925714

79

0.59375

786

6,112

4.507634

0.301527

0.006774

0.248095

0.186847

0.154107

0.117979

0.078465

0

0.026153

0.155432

6,112

174

80

35.126437

0.659822

0.310046

0

0.146341

0

0.013872

0

1

0.02439

false

0

0.036585

0

0.073171

0

null

0

null

0

1

0

da2f601feb319bbef64c8038bd332c6cea544cb4

3,243

py

Python

report_templates.py

averlarque/l1-zabbix-reporter

5d8ea4d432b7b518f954d806a86fe5bcafca3f9d

[ "MIT" ]

1

2017-03-27T02:59:09.000Z

report_templates.py

averlarque/l1-zabbix-reporter

5d8ea4d432b7b518f954d806a86fe5bcafca3f9d

[ "MIT" ]

1

2018-01-16T04:56:16.000Z

report_templates.py

averlarque/l1-zabbix-reporter

5d8ea4d432b7b518f954d806a86fe5bcafca3f9d

[ "MIT" ]

2

2016-11-24T07:06:51.000Z

2019-11-16T15:12:54.000Z

from report_generator import * class PeriodReport: """ Parent class for time periods reports """ def __init__(self, since, till, report_format='count', report_type='txt'): # Define time limits self.since = since self.till = till self.report_type = report_type self.report_format = report_format # Gener...

38.152941

102

0.755782

442

3,243

5.266968

0.171946

0.128866

0.055842

0.065722

0.592354

0.583763

0.507732

0.383591

0.289948

0

0.136602

3,243

84

103

38.607143

0.831429

0.127351

0

0.440678

0

0.043556

0

1

0.135593

false

0

0.016949

0

0.271186

0

null

0

null

0

1

0

da378e0eafeab07a79465181d9fc51e82389ac0a

6,674

py

Python

officevideo/officevideo.py

introp-software/xblock-officevideo

6e475df782a4b0a2d2d9f7e2e5b9bae441b56024

[ "MIT" ]

4

2020-02-09T09:39:06.000Z

2021-12-30T09:50:57.000Z

officevideo/officevideo.py

acidburn0zzz/xblock-officevideo

6e475df782a4b0a2d2d9f7e2e5b9bae441b56024

[ "MIT" ]

null

officevideo/officevideo.py

acidburn0zzz/xblock-officevideo

6e475df782a4b0a2d2d9f7e2e5b9bae441b56024

[ "MIT" ]

8

2019-11-02T21:34:20.000Z

2021-12-30T09:50:59.000Z

""" Copyright (c) Microsoft Corporation. All Rights Reserved. """ """ Licensed under the MIT license. See LICENSE file on the project webpage for details. """ import textwrap import pkg_resources import urllib2 import mimetypes import urlparse, requests, json import xml.etree.ElementTree as ET from xblock.core import...

38.578035

284

0.657177

791

6,674

5.384324

0.353982

0.042263

0.025358

0.033811

0.251702

0.239493

0.179385

0.156844

0

0.026491

0.23644

6,674

172

285

38.802326

0.809262

0.067726

0

0.125

0

0.008333

0.234288

0.045556

0

1

0.05

false

0

0.141667

0

0.308333

0

null

0

null

0

1

0

da37fa1cf8aa9ced7ef291cee98575d2cbc3ace4

4,594

py

Python

stn/task.py

anenriquez/STNU

a02a13730cc0f31521e01e186c158533479090f5

[ "Unlicense" ]

null

stn/task.py

anenriquez/STNU

a02a13730cc0f31521e01e186c158533479090f5

[ "Unlicense" ]

null

stn/task.py

anenriquez/STNU

a02a13730cc0f31521e01e186c158533479090f5

[ "Unlicense" ]

null

from stn.utils.as_dict import AsDictMixin class Edge(AsDictMixin): def __init__(self, name, mean, variance, **kwargs): self.name = name self.mean = round(mean, 3) self.variance = round(variance, 3) self.standard_dev = round(variance ** 0.5, 3) def __str__(self): to_pri...

34.80303

94

0.60579

581

4,594

4.538726

0.137694

0.039818

0.044369

0.021236

0.372014

0.28176

0.265074

0.212363

0.174441

0

0.003706

0.295168

4,594

131

95

35.068702

0.810686

0.110797

0

0.360825

0

0.028557

0

1

0.14433

false

0

0.010309

0

0.278351

0.154639

0

null

0

null

0

1

0

da382dde5d81096600a758eea608666b31d3c7b7

2,959

py

Python

src/bxgateway/messages/btc/data_btc_message.py

blockchain-development-resources/bxgateway

761b5085f9c7c6527f0b9aaae06d2f70f3786db2

[ "MIT" ]

1

2021-11-26T07:49:24.000Z

src/bxgateway/messages/btc/data_btc_message.py

beepool/bxgateway

761b5085f9c7c6527f0b9aaae06d2f70f3786db2

[ "MIT" ]

null

src/bxgateway/messages/btc/data_btc_message.py

beepool/bxgateway

761b5085f9c7c6527f0b9aaae06d2f70f3786db2

[ "MIT" ]

1

2021-09-06T02:10:08.000Z

import struct from bxgateway.btc_constants import BTC_HDR_COMMON_OFF, BTC_SHA_HASH_LEN from bxgateway.messages.btc.btc_message import BtcMessage from bxgateway.messages.btc.btc_message_type import BtcMessageType from bxgateway.messages.btc.btc_messages_util import btc_varint_to_int, pack_int_to_btc_varint from bxgatew...

36.9875

120

0.657993

396

2,959

4.580808

0.184343

0.026461

0.052922

0.066152

0.481257

0.292172

0.233738

0.216648

0.180265

0

0.00857

0.25076

2,959

79

121

37.455696

0.809653

0.007435

0

0.254237

0

0.001363

0

1

0.118644

false

0

0.101695

0.016949

0.355932

0

null

0

null

0

1

0

da39df4b22e6c016cc25f0ba477072a025a6794f

8,188

py

Python

alexber/utils/_ymlparsers_extra.py

AndreyRub/AlexBerUtils

b2d79c98c083533534470b62632a36dfd730be48

[ "BSD-2-Clause" ]

null

alexber/utils/_ymlparsers_extra.py

AndreyRub/AlexBerUtils

b2d79c98c083533534470b62632a36dfd730be48

[ "BSD-2-Clause" ]

8

2019-12-15T05:13:27.000Z

2021-02-16T20:03:40.000Z

alexber/utils/_ymlparsers_extra.py

AndreyRub/AlexBerUtils

b2d79c98c083533534470b62632a36dfd730be48

[ "BSD-2-Clause" ]

2

2019-12-12T03:52:37.000Z

2021-05-21T21:14:34.000Z

""" This module adopts its behavior dependent on availability of Python packages. This module optionally depends on ymlparseser module. Method format_template() is used in emails module. Note: This module will work if you have only standard Python package. You just can't change delimiters values. Note: API and implem...

38.261682

120

0.69553

1,052

8,188

5.230989

0.173954

0.035435

0.05179

0.016355

0.491914

0.463747

0.396329

0.379793

0.343812

0.318735

0

0.014947

0.240107

8,188

213

121

38.441315

0.869495

0.447606

0

0.365385

0

0.080886

0.004895

0

1

0.048077

false

0

0.105769

0

0.230769

0

null

0

null

0

1

0

da3cdf32ec5c491bbbd379b8659c9adccf3080ca

2,653

py

Python

models/house_water_drain.py

susundberg/python-freecad-3dparts

248e6f5eb4ce3d1921b3d4875e9c1d112f7b7498

[ "MIT" ]

null

models/house_water_drain.py

susundberg/python-freecad-3dparts

248e6f5eb4ce3d1921b3d4875e9c1d112f7b7498

[ "MIT" ]

null

models/house_water_drain.py

susundberg/python-freecad-3dparts

248e6f5eb4ce3d1921b3d4875e9c1d112f7b7498

[ "MIT" ]

null

import supalib TOLE=0.2 OUTSIZE=60.0 SIZE_CONST=25.0 SIZE_DROP=20.0 ANGLE_DROP=45.0 BASE_THICK=5.0 BASE_WIDE=20.0 PIPE_RAD=OUTSIZE/2.0 + TOLE hole = supalib.create_cyl( radius=PIPE_RAD , size_z = OUTSIZE, place=(0, PIPE_RAD + 1.0, -OUTSIZE/2.0) ) outer_hole = supalib.create_cyl( radius=PIPE_RAD + 5.0 , size_z = OUT...

35.851351

119

0.710516

449

2,653

3.973274

0.167038

0.167601

0.013453

0.049327

0.33296

0.275785

0.20852

0.106502

0.053812

0

0.058185

0.131926

2,653

73

120

36.342466

0.716457

0.223897

0

0.022483

0

1

0

false

0

0.025

0

0.025

0

null

0

null

0

1

0

da3d5161d87de56a9bc36edca5bba5b60b08bd39

6,556

py

Python

dace/libraries/standard/nodes/gearbox.py

thobauma/dace

668e4c49e476437e1ea3b272e9dbefca2b92d2e7

[ "BSD-3-Clause" ]

null

dace/libraries/standard/nodes/gearbox.py

thobauma/dace

668e4c49e476437e1ea3b272e9dbefca2b92d2e7

[ "BSD-3-Clause" ]

null

dace/libraries/standard/nodes/gearbox.py

thobauma/dace

668e4c49e476437e1ea3b272e9dbefca2b92d2e7

[ "BSD-3-Clause" ]

null

# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved. import collections import copy import dace @dace.library.expansion class ExpandGearbox(dace.transformation.ExpandTransformation): environments = [] @staticmethod def expansion(node: "Gearbox", parent_state: dace.SDFGState, ...

39.257485

80

0.558115

783

6,556

4.466156

0.240102

0.027452

0.020589

0.278524

0.212182

0.157278

0.117815

0

0.008975

0.354179

6,556

166

81

39.493976

0.816958

0.145363

0

0.130769

0

0.157703

0.007813

0

1

0.023077

false

0.007692

0.023077

0

0.107692

0

null

0

null

0

1

0

da3fd113ae5463775113a2aa795b9fc22645ae0c

5,662

py

Python

reprlearn/data/samplers/kshot_sampler.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

reprlearn/data/samplers/kshot_sampler.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

reprlearn/data/samplers/kshot_sampler.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

from reprlearn.data.datasets.base import ImageDataset from collections import defaultdict from typing import Iterable, Optional, Callable, List, Dict, Tuple import numpy as np # =============== # Returns a list of datapoints from the dataset so that # the list contains the same number of datapoints per class (if possi...

39.048276

112

0.598905

733

5,662

4.472033

0.210096

0.075656

0.04759

0.019829

0.397804

0.350519

0.316657

0.274558

0

0.000261

0.32409

5,662

144

113

39.319444

0.856284

0.347051

0

0.202532

0

0.01575

0

1

0.050633

false

0.012658

0.050633

0

0.151899

0.012658

0

null

0

null

0

1

0

da40b32e1d6bf126d545d746d9c0416f4eb38e0a

7,117

py

Python

phaseprep/workflows/preprocess_phase_wf.py

ostanley/phaseprep

6e721ea43755f10eb8569b1f4d4461efa3d85a1a

[ "Apache-2.0" ]

1

2019-10-11T17:04:25.000Z

phaseprep/workflows/preprocess_phase_wf.py

ostanley/phaseprep

6e721ea43755f10eb8569b1f4d4461efa3d85a1a

[ "Apache-2.0" ]

2

2019-10-16T13:13:52.000Z

2019-12-10T19:38:39.000Z

phaseprep/workflows/preprocess_phase_wf.py

ostanley/phaseprep

6e721ea43755f10eb8569b1f4d4461efa3d85a1a

[ "Apache-2.0" ]

2

2019-11-18T19:21:44.000Z

2021-10-19T18:01:03.000Z

import nipype.pipeline.engine as pe import nipype.interfaces.fsl as fsl import nipype.interfaces.afni as afni import phaseprep.interfaces as pp import nipype.interfaces.utility as ul def findscalingarg(in_file, bit_depth=12): import nibabel as nb import numpy as np img = nb.load(in_file) if img.dataob...

53.511278

153

0.559646

701

7,117

5.53067

0.28388

0.032499

0.05107

0.023472

0.269796

0.128966

0.038174

0.025277

0

0.015925

0.311789

7,117

132

154

53.916667

0.775623

0.159618

0

0.023256

0

0.179292

0.004406

0

1

0.023256

false

0

0.081395

0

0.127907

0.011628

0

null

0

null

0

1

0

da426e6fadffb074142a9d08e0b642ab357e46fc

2,514

py

Python

zorg/buildbot/builders/AnnotatedBuilder.py

DalavanCloud/zorg

d55f03740e589d504dbfe2d5dc9fbc5d551f31fb

[ "Apache-2.0" ]

1

2019-02-10T03:05:05.000Z

zorg/buildbot/builders/AnnotatedBuilder.py

DalavanCloud/llvm-zorg

14d347a312d5a19bec421f553a3c1cbe1735b273

[ "Apache-2.0" ]

null

zorg/buildbot/builders/AnnotatedBuilder.py

DalavanCloud/llvm-zorg

14d347a312d5a19bec421f553a3c1cbe1735b273

[ "Apache-2.0" ]

null

import os import buildbot from buildbot.process.properties import WithProperties from buildbot.steps.shell import SetProperty, ShellCommand from buildbot.steps.source import SVN from zorg.buildbot.commands.AnnotatedCommand import AnnotatedCommand from zorg.buildbot.process.factory import LLVMBuildFactory def getAnno...

36.970588

78

0.622514

285

2,514

5.431579

0.477193

0.020672

0.032946

0.034884

0

0.00395

0.295147

2,514

67

79

37.522388

0.869639

0.280827

0

0.122817

0.030986

0

1

0.022727

false

0

0.159091

0

0.204545

0

null

0

null

0

1

0

da4804a69488cffc401e2be47069232bee7d172a

4,828

py

Python

train.py

yazar1993/TextBoxes-mxnet

89fbf4151473ab4575a032871683e76978deec0a

[ "MIT" ]

1

2019-02-04T19:03:27.000Z

train.py

yazar1993/TextBoxes-mxnet

89fbf4151473ab4575a032871683e76978deec0a

[ "MIT" ]

null

train.py

yazar1993/TextBoxes-mxnet

89fbf4151473ab4575a032871683e76978deec0a

[ "MIT" ]

null

import time from matplotlib import pyplot as plt import numpy as np import mxnet as mx from mxnet import autograd, gluon import gluoncv as gcv from gluoncv.utils import download, viz from model import model_zoo import argparse def get_dataloader(net, train_dataset, data_shape, batch_size, num_workers): from gluon...

37.426357

101

0.665493

673

4,828

4.579495

0.283804

0.029202

0.055159

0.016548

0.095717

0.069111

0.040883

0.018819

0

0.015178

0.167564

4,828

128

102

37.71875

0.75168

0.029619

0

0.037383

0

0.095948

0

1

0.009346

false

0

0.102804

0

0.121495

0.056075

0

null

0

null

0

1

0

da48925dd8d85e25b1591c7ad7324c1b91372e21

484

py

Python

aws/build_saint_features.py

fabien-vavrand/kaggle-riiid

3302955980e0d4bb2dbc72bcd369000b0724f1e7

[ "MIT" ]

null

aws/build_saint_features.py

fabien-vavrand/kaggle-riiid

3302955980e0d4bb2dbc72bcd369000b0724f1e7

[ "MIT" ]

null

aws/build_saint_features.py

fabien-vavrand/kaggle-riiid

3302955980e0d4bb2dbc72bcd369000b0724f1e7

[ "MIT" ]

null

from doppel import DoppelProject from riiid.utils import configure_console_logging from riiid.config import SRC_PATH from riiid.aws.config import CONTEXT, PACKAGES configure_console_logging() project = DoppelProject( name='riiid-saint-features', path=SRC_PATH, entry_point='-m riiid.aws.build_saint_featur...

22

52

0.743802

64

484

5.4375

0.578125

0.077586

0.132184

0

0.019512

0.152893

484

21

53

23.047619

0.829268

0

0.150826

0.061983

0

1

0

false

0

0.235294

0

0.235294

0

null

0

null

0

1

0

da4a7e68c0832aca421b9ec0a6a9d00a1f584040

1,933

py

Python

src/sentry/incidents/endpoints/organization_alert_rule_trigger_details.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

1

2019-10-17T17:46:16.000Z

src/sentry/incidents/endpoints/organization_alert_rule_trigger_details.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

null

src/sentry/incidents/endpoints/organization_alert_rule_trigger_details.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

null

from __future__ import absolute_import from rest_framework import status from rest_framework.response import Response from sentry.api.serializers import serialize from sentry.api.serializers.models.alert_rule_trigger import DetailedAlertRuleTriggerSerializer from sentry.incidents.endpoints.bases import OrganizationAl...

39.44898

96

0.702535

188

1,933

6.989362

0.351064

0.10274

0.121766

0.079148

0.17656

0.153729

0.109589

0

0.008

0.224004

1,933

48

97

40.270833

0.868

0.032592

0

0.035519

0

1

0.085714

false

0

0.228571

0

0.485714

0

null

0

null

0

1

0

da4c1af35b78bb185c69f2e2ce2c1d8ceee1a22d

667

py

Python

chapter03/knock25.py

m-star18/NLP100

e199814f81943f7fb693fd5fe87d6df21da07f5b

[ "MIT" ]

1

2020-07-15T17:21:13.000Z

chapter03/knock25.py

m-star18/NLP100

e199814f81943f7fb693fd5fe87d6df21da07f5b

[ "MIT" ]

1

2021-05-04T01:04:57.000Z

2021-05-04T01:05:32.000Z

chapter03/knock25.py

m-star18/NLP100

e199814f81943f7fb693fd5fe87d6df21da07f5b

[ "MIT" ]

null

import re import pandas as pd df = pd.read_json('jawiki-country.json', lines=True) text = df.query('title=="イギリス"')['text'].values[0].split('\n') memo, flag = [], False template = '基礎情報' check = re.compile('\|(.+?)\s=\s(.+)') check1 = re.compile('\{\{' + template) check2 = re.compile('\}\}') check3 = re.compile('\|')...

23.821429

62

0.55922

98

667

3.795918

0.5

0.120968

0

0.020677

0.202399

667

27

63

24.703704

0.678571

0

0.136432

0.034483

0

1

0

false

0

0.086957

0

0.086957

0.043478

0

null

0

null

0

1

0

da4c202f2a4d50150a0f027ce75d19d6e0f3d28d

316

py

Python

constants.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

19

2018-06-08T05:33:47.000Z

2021-04-26T16:19:32.000Z

constants.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

null

constants.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

13

2018-09-24T21:52:06.000Z

2021-02-26T10:40:25.000Z

# Datasets TRAIN = 'trn' VAL = 'val' TEST = 'tst' FULL = 'full' # File extensions JPG = '.jpg' TIF = '.tif' PNG = '.png' GIF = '.gif' BCOLZ = '.bc' CSV = '.csv' # PyTorch MODEL_EXT = '.mdl' WEIGHTS_EXT = '.th' OPTIM_EXT = '.th' # Data Aug IMAGENET_MEAN = [0.485, 0.456, 0.406] IMAGENET_STD = [0.229, 0.224, 0.225]

14.363636

37

0.591772

51

316

3.568627

0.686275

0.054945

0

0.094118

0.193038

316

22

38

14.363636

0.619608

0.129747

0

0.169742

0

1

0

false

0

null

0

null

0

1

0

da4d25bd823544d3dde8ed32e826fbbb55bcbd80

1,226

py

Python

a10sdk/core/maximum/maximum_paths.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

16

2015-05-20T07:26:30.000Z

2021-01-23T11:56:57.000Z

a10sdk/core/maximum/maximum_paths.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

6

2015-03-24T22:07:11.000Z

2017-03-28T21:31:18.000Z

a10sdk/core/maximum/maximum_paths.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

23

2015-03-29T15:43:01.000Z

2021-06-02T17:12:01.000Z

from a10sdk.common.A10BaseClass import A10BaseClass class MaximumPaths(A10BaseClass): """Class Description:: Set maximum number of route multipaths installed into FIB. Class maximum-paths supports CRUD Operations and inherits from `common/A10BaseClass`. This class is the `"PARENT"` class for thi...

32.263158

168

0.638662

145

1,226

5.344828

0.565517

0.061935

0.036129

0.049032

0

0.023037

0.221044

1,226

37

169

33.135135

0.788482

0.601958

0

0.084309

0.053864

0

1

0.083333

false

0

0.083333

0

0.25

0

null

0

null

0

1

0

da4d50c0cd6f0dd5e191b086879be35c23707ff8

331

py

Python

ocun.py

jpcyrino/chunker_dm

1afde2400b81d0fbc351dcb4658546ef018d2640

[ "MIT" ]

1

2022-02-23T12:33:01.000Z

ocun.py

jpcyrino/chunker_dm

1afde2400b81d0fbc351dcb4658546ef018d2640

[ "MIT" ]

null

ocun.py

jpcyrino/chunker_dm

1afde2400b81d0fbc351dcb4658546ef018d2640

[ "MIT" ]

null

import sys filename = sys.argv[1] fileout = sys.argv[2] with open(filename, encoding="utf-8", mode="r") as file: lines = file.read().split("\n") data_lines = [lines[i] for i in range(0,len(lines),3)] print(data_lines) with open(fileout, encoding="utf-8", mode="w") as file: for line in data_lines: file.write(lin...

20.6875

56

0.667674

59

331

3.694915

0.542373

0.123853

0.110092

0.146789

0

0.021127

0.141994

331

15

57

22.066667

0.746479

0

0.048485

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

da4f18d031bec1129d069479e75d9c035f860d1d

2,412

py

Python

galaxy/main/urls.py

changelox/galaxy

fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc

[ "Apache-2.0" ]

null

galaxy/main/urls.py

changelox/galaxy

fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc

[ "Apache-2.0" ]

null

galaxy/main/urls.py

changelox/galaxy

fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc

[ "Apache-2.0" ]

null

# (c) 2012-2018, Ansible by Red Hat # # This file is part of Ansible Galaxy # # Ansible Galaxy is free software: you can redistribute it and/or modify # it under the terms of the Apache License as published by # the Apache Software Foundation, either version 2 of the License, or # (at your option) any later version. # ...

37.107692

76

0.681177

331

2,412

4.882175

0.380665

0.042079

0.029703

0.022277

0.032178

0

0.004464

0.164179

2,412

64

77

37.6875

0.797123

0.285655

0

0.052632

0

0.250147

0.083969

0

1

0

false

0

0.184211

0

0.184211

0

null

0

null

0

1

0

da58277b5c2af60a518ecbd9a3ef1bdee746623d

1,306

py

Python

python3/ais_sdk/utils.py

MeekoI/ais-sdk

76240abc49795e914988f3cafb6d08f60dbdcb4c

[ "Apache-2.0" ]

null

python3/ais_sdk/utils.py

MeekoI/ais-sdk

76240abc49795e914988f3cafb6d08f60dbdcb4c

[ "Apache-2.0" ]

null

python3/ais_sdk/utils.py

MeekoI/ais-sdk

76240abc49795e914988f3cafb6d08f60dbdcb4c

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- import os import base64 import urllib.request import ais_sdk.ais as ais _ENDPOINT = { 'image': { 'cn-north-1':'image.cn-north-1.myhuaweicloud.com', 'ap-southeast-1':'image.ap-southeast-1.myhuaweicloud.com' }, 'moderation': { 'cn-north-1':'moderation....

24.641509

70

0.666156

171

1,306

4.929825

0.350877

0.033215

0.03796

0.030842

0.151839

0.085409

0

0.035373

0.199081

1,306

52

71

25.115385

0.770554

0.123277

0

0.201275

0.140255

0

1

0.181818

false

0

0.121212

0.060606

0.424242

0

null

0

null

0

1

0

da5863a5ec445793ea40d771aa319962f8ec9010

609

py

Python

GUI/dialogs/propulsion_dialogs/propulsion_dialog.py

StepLogic/Parametric-Drone-Design-Software

be9c537427f85b08c071c2666712fd32643cd439

[ "Unlicense" ]

7

2021-03-17T01:23:28.000Z

2021-05-06T20:41:21.000Z

GUI/dialogs/propulsion_dialogs/propulsion_dialog.py

StepLogic/Parametric-Drone-Design-Software

be9c537427f85b08c071c2666712fd32643cd439

[ "Unlicense" ]

null

GUI/dialogs/propulsion_dialogs/propulsion_dialog.py

StepLogic/Parametric-Drone-Design-Software

be9c537427f85b08c071c2666712fd32643cd439

[ "Unlicense" ]

null

from PyQt5.QtCore import * from PyQt5.QtWidgets import * from GUI.tabs.propulsion_tab.propulsion_tab import propulsion_tab class propulsion_dialog(QDialog): def __init__(self): super().__init__() self.tab = propulsion_tab() self.layout =self.tab.create_widget() self.buttons = QDia...

30.45

65

0.689655

68

609

5.970588

0.470588

0.128079

0.078818

0

0.004175

0.213465

609

19

66

32.052632

0.843424

0

1

0.066667

false

0

0.2

0

0.333333

0

null

0

null

0

1

0

da58d75367a4513d4ada4db3e0cf52dc127dc010

726

py

Python

blind_75/06_removeNthFromEnd.py

NursultanBeken/leetcode_practice

8aa8a033f95110aafa6acd9ebf842d716fd7552b

[ "MIT" ]

1

2020-09-20T03:55:00.000Z

blind_75/06_removeNthFromEnd.py

NursultanBeken/leetcode_practice

8aa8a033f95110aafa6acd9ebf842d716fd7552b

[ "MIT" ]

null

blind_75/06_removeNthFromEnd.py

NursultanBeken/leetcode_practice

8aa8a033f95110aafa6acd9ebf842d716fd7552b

[ "MIT" ]

null

""" Dummy node, two pointers, swap nodes """ # Definition for singly-linked list. # class ListNode(object): # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution(object): def removeNthFromEnd(self, head, n): """ :type head: ListNode :...

22

43

0.479339

77

726

4.467532

0.441558

0.116279

0.087209

0.110465

0

0.009547

0.422865

726

33

44

22

0.811456

0.326446

0

0.153846

0

1

0.076923

false

0

0.230769

0

null

0

null

0

1

0

da5d5dda91394d5fcd0bc5d32616b3e16dc5d436

875

py

Python

ethsential/__main__.py

1140251/Ethsential

1de423358f5a0ba8b84d80fa63bce09552bca9fd

[ "Apache-2.0" ]

7

2021-10-11T12:07:08.000Z

2022-01-10T01:19:36.000Z

ethsential/__main__.py

1140251/Ethsential

1de423358f5a0ba8b84d80fa63bce09552bca9fd

[ "Apache-2.0" ]

null

ethsential/__main__.py

1140251/Ethsential

1de423358f5a0ba8b84d80fa63bce09552bca9fd

[ "Apache-2.0" ]

null

import sys from .src.applications.server import ETHSENTIAL from .src.applications.cli import CLI from .src.parser import create_parser def main(): parser = create_parser() args = parser.parse_args() if args.action == 'cli': try: CLI.exec_cmd(args) except Exception as e: ...

24.305556

53

0.537143

101

875

4.514851

0.386139

0.070175

0.083333

0.078947

0.307018

0

0.001742

0.344

875

35

54

25

0.792683

0

0.433333

0

0.056

0

1

0.033333

false

0

0.133333

0

0.166667

0.133333

0

null

0

null

0

1

0

da5ea178b4528bc2e8ee17e0a8132d23a6388e83

2,322

py

Python

scripts/msig_prods_update_tag.py

xenbo/eosforce

f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f

[ "MIT" ]

117

2018-06-22T08:49:36.000Z

2022-01-30T17:08:29.000Z

scripts/msig_prods_update_tag.py

xenbo/eosforce

f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f

[ "MIT" ]

17

2018-07-05T04:06:47.000Z

2020-09-07T06:19:25.000Z

scripts/msig_prods_update_tag.py

xenbo/eosforce

f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f

[ "MIT" ]

42

2018-06-22T08:57:42.000Z

2022-03-28T13:08:02.000Z

#!/usr/bin/env python3 import argparse import json import os import re import subprocess import sys import time enable_push = True # True to push on chain cleos = '../build/programs/cleos/cleos --wallet-url http://127.0.0.1:6666 --url http://127.0.0.1:8001 ' wallet_password = '' wallet_name = 'testc' active_account =...

26.089888

103

0.615418

275

2,322

5.069091

0.443636

0.028694

0.027977

0.015782

0.086083

0.018651

0

0.027657

0.205857

2,322

88

104

26.386364

0.728308

0.093885

0

0.04918

0

0.016393

0.162136

0.013829

0

1

0.114754

false

0.032787

0.114754

0.032787

0.295082

0.065574

0

null

0

null

0

1

0

da5fc436cce22928bf1e7b8ba50df3169ca33055

7,027

py

Python

maskrcnn/preprocess/download_googlestaticmap.py

JBoshoff/Replicate-night-light

5bdfbb99fe38f98f61f733f4e847be2bb6f559ef

[ "MIT" ]

8

2020-08-26T21:05:32.000Z

2021-08-18T06:55:24.000Z

maskrcnn/preprocess/download_googlestaticmap.py

JBoshoff/Replicate-night-light

5bdfbb99fe38f98f61f733f4e847be2bb6f559ef

[ "MIT" ]

null

maskrcnn/preprocess/download_googlestaticmap.py

JBoshoff/Replicate-night-light

5bdfbb99fe38f98f61f733f4e847be2bb6f559ef

[ "MIT" ]

2

2021-10-20T12:43:00.000Z

2022-01-04T19:40:16.000Z

"""This downloader downloads satellite images from the Google Static Maps API. Usage: $ python download_googlestaticmap.py \ > --log LOG_FILE.csv \ > --initialize INIT_FILE.csv $ nohup python download_googlestaticmap.py \ > --log LOG_FILE.csv \ > --num 3 \ > --download-dir DIR \ ...

36.035897

84

0.565675

819

7,027

4.763126

0.295482

0.029992

0.021533

0.011536

0.10869

0.044091

0.021533

0

0.004203

0.322897

7,027

194

85

36.221649

0.815679

0.259713

0

0.076923

0

0.174419

0

0.019231

1

0.048077

false

0

0.048077

0

0.115385

0.067308

0

null

0

null

0

1

0

da60447f22ba4eba74abcb47b3cadec2e06136d2

9,826

py

Python

NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py

NeLy-EPFL/NeuroMechFly

69f9e2d86caac561a50e3e060d007dd50a20d481

[ "Apache-2.0" ]

12

2021-05-07T15:27:11.000Z

2022-01-29T04:26:36.000Z

NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py

NeLy-EPFL/NeuroMechFly

69f9e2d86caac561a50e3e060d007dd50a20d481

[ "Apache-2.0" ]

15

2021-05-07T14:58:04.000Z

2021-11-10T21:30:58.000Z

NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py

NeLy-EPFL/NeuroMechFly

69f9e2d86caac561a50e3e060d007dd50a20d481

[ "Apache-2.0" ]

1

2022-01-13T16:08:49.000Z

""" Drosophila simulation class for kinematic replay without body support. """ import numpy as np import pandas as pd import pybullet as p from NeuroMechFly.sdf.units import SimulationUnitScaling from NeuroMechFly.simulation.bullet_simulation import BulletSimulation # Random number seed np.random.seed(seed=321) de...

36.258303

91

0.569408

1,096

9,826

4.958029

0.265511

0.010121

0.016562

0.016194

0.230217

0.179426

0.106551

0.088333

0.059257

0

0.017509

0.343171

9,826

270

92

36.392593

0.82445

0.239161

0

0.15

0

0.0344

0.004793

0

1

0.05

false

0

0.03125

0

0.1

0.00625

0

null

0

null

0

1

0

da6071c120cc4c6108f42d5833b8ae67a673f55d

3,845

py

Python

hw/ip/otbn/dv/otbnsim/sim/isa.py

wxjstz/opentitan

6ff4397bac9c07373d735bd859c7ef8de39c2af8

[ "Apache-2.0" ]

null

hw/ip/otbn/dv/otbnsim/sim/isa.py

wxjstz/opentitan

6ff4397bac9c07373d735bd859c7ef8de39c2af8

[ "Apache-2.0" ]

null

hw/ip/otbn/dv/otbnsim/sim/isa.py

wxjstz/opentitan

6ff4397bac9c07373d735bd859c7ef8de39c2af8

[ "Apache-2.0" ]

null

# Copyright lowRISC contributors. # Licensed under the Apache License, Version 2.0, see LICENSE for details. # SPDX-License-Identifier: Apache-2.0 from enum import IntEnum import sys from typing import Dict from riscvmodel.types import Immediate # type: ignore from shared.insn_yaml import Insn, load_insns_yaml fro...

31.008065

78

0.649935

537

3,845

4.500931

0.325885

0.047166

0.024824

0.021514

0.223004

0.213074

0.162598

0.135292

0.124121

0

0.011431

0.249155

3,845

123

79

31.260163

0.825771

0.33238

0

0.242424

0

0.091275

0

0.015152

1

0.136364

false

0

0.090909

0

0.409091

0

null

0

null

0

1

0

da63d798dfe9c2ea59c6459800d52786ae4db56c

2,668

py

Python

tests/features/steps/environment_steps.py

candango/pyclicksign

d709122867cfa5c6fce4322b55a033bc82126e1c

[ "Apache-2.0" ]

null

tests/features/steps/environment_steps.py

candango/pyclicksign

d709122867cfa5c6fce4322b55a033bc82126e1c

[ "Apache-2.0" ]

9

2022-01-15T19:43:46.000Z

2022-03-24T06:04:25.000Z

tests/features/steps/environment_steps.py

candango/pyclicksign

d709122867cfa5c6fce4322b55a033bc82126e1c

[ "Apache-2.0" ]

null

# Copyright 2021-2022 Flávio Gonçalves Garcia # # 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...

33.35

74

0.737631

385

2,668

4.966234

0.34026

0.075314

0.072176

0.078452

0.393828

0.348849

0.281381

0.259414

0

0.007092

0.154423

2,668

79

75

33.772152

0.840426

0.211394

0

0.285714

0

0.108134

0

0.142857

1

0.163265

false

0

0.081633

0.020408

0.285714

0.020408

0

null

0

null

0

1

0

da648cdce4097a5f15c459cc9d3dc08716cd7f4a

2,967

py

Python

photo_album_src/models_bk.py

chrisjen83/k3s-labs

b283c2500b272be0de1025ef541a46d7c4591cc1

[ "MIT" ]

1

2020-04-01T22:05:28.000Z

photo_album_src/models_bk.py

chrisjen83/k3s-labs

b283c2500b272be0de1025ef541a46d7c4591cc1

[ "MIT" ]

null

photo_album_src/models_bk.py

chrisjen83/k3s-labs

b283c2500b272be0de1025ef541a46d7c4591cc1

[ "MIT" ]

5

2020-02-21T22:47:35.000Z

2022-02-03T15:21:39.000Z

#!/usr/bin/env python3 # Import modules required for app import os import boto3 import json from pymongo import MongoClient from werkzeug import secure_filename from PIL import Image from config import ecs_test_drive #Get from K8s ConfigMap values for MongoDB Database MONGO_SERVER = os.environ.get( "MONGO_SERVER", Non...

34.905882

115

0.691271

405

2,967

4.859259

0.34321

0.032012

0.054878

0.060976

0.185976

0.177337

0.164634

0.086382

0

0.009583

0.191102

2,967

84

116

35.321429

0.810417

0.232895

0

0.042553

0

0.161647

0.022143

0

1

0.06383

false

0

0.148936

0.021277

0.234043

0

null

0

null

0

1

0

da67084ae53c45931e9876b1394dc1aa92e625de

12,051

py

Python

pymothoa/llvm_backend/backend.py

sklam/pymothoa

330bd70666ccf761f39c75f3acb70aa7e0a92ac6

[ "BSD-2-Clause" ]

2

2017-03-23T19:44:03.000Z

2020-11-28T17:01:49.000Z

pymothoa/llvm_backend/backend.py

sklam/pymothoa

330bd70666ccf761f39c75f3acb70aa7e0a92ac6

[ "BSD-2-Clause" ]

null

pymothoa/llvm_backend/backend.py

sklam/pymothoa

330bd70666ccf761f39c75f3acb70aa7e0a92ac6

[ "BSD-2-Clause" ]

null

# Copyright (c) 2012, Siu Kwan Lam # All rights reserved. import logging import ast from contextlib import contextmanager from pymothoa.util.descriptor import Descriptor, instanceof from pymothoa import dialect from pymothoa.compiler_errors import * from pymothoa.backend import CodeGenerationBase from types import *...

35.759644

110

0.617127

1,450

12,051

4.938621

0.170345

0.147465

0.049155

0.045105

0.404552

0.286133

0.232789

0.207234

0.176512

0.168133

0

0.000933

0.288275

12,051

336

111

35.866071

0.833975

0.069538

0

0.322314

0

0.024257

0

0.012397

1

0.103306

false

0

0.045455

0.012397

0.247934

0

null

0

null

0

1

0

da687c22550da7202f3e33817124a03999dca63a

542

py

Python

cloud/single_stage_detector/pytorch/onnx_demo.py

mgoin/inference

ede5477a2aee72ceb435e9ecd599ffa052417c2a

[ "Apache-2.0" ]

4

2019-07-26T03:00:39.000Z

2021-01-29T16:12:21.000Z

cloud/single_stage_detector/pytorch/onnx_demo.py

mgoin/inference

ede5477a2aee72ceb435e9ecd599ffa052417c2a

[ "Apache-2.0" ]

null

cloud/single_stage_detector/pytorch/onnx_demo.py

mgoin/inference

ede5477a2aee72ceb435e9ecd599ffa052417c2a

[ "Apache-2.0" ]

2

2019-11-12T15:57:29.000Z

2022-03-02T21:26:58.000Z

import onnxruntime import onnx import os from onnx import numpy_helper onnx_model_dir = 'test_ssd_model' onnx_data_dir = 'test_data_set_0' sess = onnxruntime.InferenceSession(os.path.join(onnx_model_dir, 'model.onnx')) img_tensor = onnx.TensorProto() with open(os.path.join(onnx_model_dir, onnx_data_dir, 'input_0.pb')...

30.111111

80

0.778598

91

542

4.307692

0.461538

0.068878

0.091837

0.071429

0.112245

0

0.006148

0.099631

542

18

81

30.111111

0.797131

0

0.093923

0

1

0

false

0

0.285714

0

0.285714

0.071429

0

null

0

null

0

1

0

da6a8272e09ed6bcdd72fe1fe0ed6ca276090222

3,519

py

Python

uat/test_uat_CLIParser.py

sorint-lab-us/aws-greengrass-gdk-cli

7508c7f62dcee1638cfc895ea38f3842e0072f0e

[ "Apache-2.0" ]

null

uat/test_uat_CLIParser.py

sorint-lab-us/aws-greengrass-gdk-cli

7508c7f62dcee1638cfc895ea38f3842e0072f0e

[ "Apache-2.0" ]

null

uat/test_uat_CLIParser.py

sorint-lab-us/aws-greengrass-gdk-cli

7508c7f62dcee1638cfc895ea38f3842e0072f0e

[ "Apache-2.0" ]

null

import json import os import subprocess as sp import tempfile from pathlib import Path import gdk.common.exceptions.error_messages as error_messages def test_list_template(): check_list_template = sp.run(["gdk", "component", "list", "--template"], check=True, stdout=sp.PIPE) assert "HelloWorld-python" in che...

40.918605

126

0.700199

443

3,519

5.410835

0.227991

0.045056

0.023363

0.049645

0.577388

0.483521

0.430955

0.396329

0.124322

0

0.002002

0.148338

3,519

85

127

41.4

0.797798

0.06877

0

0.142857

0

0.189181

0.039731

0

0.285714

1

0.095238

false

0

0.095238

0

0.190476

0

null

0

null

0

1

0

da6b4c0eec1b1ed14670ffd508f05ac5d26c2b77

1,326

py

Python

mysite/image/forms.py

HelloTecXin/ZXBlog

60d1f95f541138aa56acbaf4dcfbfe208491d65b

[ "MIT" ]

1

2020-03-17T08:28:48.000Z

mysite/image/forms.py

HelloTecXin/ZXBlog

60d1f95f541138aa56acbaf4dcfbfe208491d65b

[ "MIT" ]

null

mysite/image/forms.py

HelloTecXin/ZXBlog

60d1f95f541138aa56acbaf4dcfbfe208491d65b

[ "MIT" ]

null

from django import forms from django.core.files.base import ContentFile from slugify import slugify from urllib import request from .models import Image class ImageForm(forms.ModelForm): class Meta: model = Image fields = ('title','url','description') def clean_url(self): ...

41.4375

113

0.667421

150

1,326

5.82

0.5

0.024055

0.032073

0.041237

0.084765

0

0.005803

0.220211

1,326

31

114

42.774194

0.838491

0.159879

0

0.088372

0

1

0.08

false

0

0.2

0

0.44

0

null

0

null

0

1

0

da741a60b0b7e242baf0c8917409303691b189e3

1,110

py

Python

APP/__init__.py

jcyongqin/MerryChristmas2016

f1bfc0f9df33dad474f28bbefa21f320e4ee48e9

[ "MIT" ]

null

APP/__init__.py

jcyongqin/MerryChristmas2016

f1bfc0f9df33dad474f28bbefa21f320e4ee48e9

[ "MIT" ]

null

APP/__init__.py

jcyongqin/MerryChristmas2016

f1bfc0f9df33dad474f28bbefa21f320e4ee48e9

[ "MIT" ]

null

print('Merry Christmas!!!') import sys # # int main(int argc, char* argv[]) { # int n = argc > 1 ? atoi(argv[1]) : 4; # for (int j = 1; j <= n; j++) { # int s = 1 << j, k = (1 << n) - s, x; # for (int y = s - j; y >= 0; y--, putchar('\n')) { # for (x = 0; x < y + k; x++) printf(" "...

28.461538

83

0.351351

160

1,110

2.3625

0.23125

0.063492

0.047619

0.087302

0.301587

0.10582

0.042328

0

0.032308

0.414414

1,110

38

84

29.210526

0.549231

0.430631

0

0.058252

0

1

0.047619

false

0

0.047619

0

0.095238

0.238095

0

null

0

null

0

1

0

da760162956fd30fc878df9712168c347b1cba4a

1,013

py

Python

pyday_night_funkin/enums.py

Square789/PydayNightFunkin

8d43daec947202566419a2d5ce63cc191b7b8e3c

[ "Apache-2.0" ]

null

pyday_night_funkin/enums.py

Square789/PydayNightFunkin

8d43daec947202566419a2d5ce63cc191b7b8e3c

[ "Apache-2.0" ]

34

2021-09-10T01:08:14.000Z

2022-03-25T18:10:08.000Z

pyday_night_funkin/enums.py

Square789/PydayNightFunkin

8d43daec947202566419a2d5ce63cc191b7b8e3c

[ "Apache-2.0" ]

null

""" Enums that aren't really too coupled to anything else. """ from enum import IntEnum class DIFFICULTY(IntEnum): EASY = 0 NORMAL = 1 HARD = 2 def to_song_json_suffix(self) -> str: if self is self.EASY: return "-easy" elif self is self.NORMAL: return "" elif self is self.HARD: return "-hard" r...

15.828125

78

0.672261

158

1,013

4.221519

0.512658

0.053973

0.089955

0.083958

0.278861

0.176912

0

0.039846

0.231984

1,013

63

79

16.079365

0.817481

0.110563

0

0.191489

0

0.026876

0

1

0.042553

false

0

0.021277

0

0.851064

0

null

0

null

0

1

0

da78a73d88c09570047fcaf5e2a501ef100b4dc0

28,780

py

Python

tools/check_cluster.py

jmatuskey/jupyterhub-deploy

6669bb0fa8e6da52f74d4ca015cea9dc96105a34

[ "Unlicense" ]

1

2021-06-02T18:35:05.000Z

tools/check_cluster.py

jmatuskey/jupyterhub-deploy

6669bb0fa8e6da52f74d4ca015cea9dc96105a34

[ "Unlicense" ]

64

2020-05-11T12:35:26.000Z

2022-03-28T16:03:37.000Z

tools/check_cluster.py

jmatuskey/jupyterhub-deploy

6669bb0fa8e6da52f74d4ca015cea9dc96105a34

[ "Unlicense" ]

11

2020-04-07T13:32:07.000Z

2022-02-07T19:16:24.000Z

#! /usr/bin/env python """Check properties of Terraformed resources and/or JupyterHub to verify good deployment. ignore the hub since it may not be delpoyed on the cluster yet. check creation date check for global hammer """ import sys import os import subprocess import argparse import re import json from collection...

37.087629

243

0.618277

3,636

28,780

4.770627

0.162816

0.016603

0.012914

0.023982

0.2581

0.22276

0.18056

0.160613

0.127176

0.100254

0

0.011195

0.2582

28,780

775

244

37.135484

0.801302

0.202571

0

0.18705

0

0.053957

0.486507

0.083808

0

0.043165

1

0.064748

false

0

0.019784

0.008993

0.136691

0.052158

0

null

0

null

0

1

0

da78b0227ad76c6a1e8ba2489ed9c76d00da8725

791

py

Python

tests/in/test_application.py

evereux/catia_python

08948585899b12587b0415ce3c9191a408b34897

[ "MIT" ]

90

2019-02-21T10:05:28.000Z

2022-03-19T01:53:41.000Z

tests/in/test_application.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

99

2019-05-21T08:29:12.000Z

2022-03-25T09:55:15.000Z

tests/in/test_application.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

26

2019-04-04T06:31:36.000Z

2022-03-30T07:24:47.000Z

#! /usr/bin/python3.6 from pycatia import catia from tests.source_files import cat_part_measurable def test_application(): caa = catia() assert 'Application(name="CNEXT")' in caa.__repr__() def test_refresh(): caa = catia() documents = caa.documents documents.open(cat_part_measurable) docum...

19.775

56

0.705436

102

791

5.27451

0.333333

0.081784

0.126394

0.074349

0.416357

0.32342

0

0.0032

0.209861

791

39

57

20.282051

0.8576

0.025284

0

0.44

0

0.032468

0

0.2

1

0.12

false

0

0.08

0

0.2

0

null

0

null

0

1

0

da7992586d3c2316d0ce8cb23cf3e01e30ae505b

4,632

py

Python

test/util.py

CarysT/xar

f476c05dec373fcdcd0e884d5a0201501555edb9

[ "BSD-2-Clause" ]

null

test/util.py

CarysT/xar

f476c05dec373fcdcd0e884d5a0201501555edb9

[ "BSD-2-Clause" ]

null

test/util.py

CarysT/xar

f476c05dec373fcdcd0e884d5a0201501555edb9

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python import contextlib import hashlib import os import os.path import shutil import stat import subprocess import sys import xattr class TestCaseSkipError(Exception): pass def skip_if_no_compression_support(type): """ Raises TestCaseSkipError if the type is "lzma" and the test is running on darw...

31.726027

193

0.708765

721

4,632

4.457698

0.305132

0.02178

0.015246

0.034848

0.064095

0.053516

0.024891

0

0.032711

0.155225

4,632

145

194

31.944828

0.788653

0.247193

0

0.117021

0

0.1039

0

0.180851

1

0.074468

false

0.021277

0.095745

0

0.191489

0

null

0

null

0

1

0

da79b4fcd76b875d0455312cd540c29c3adde2c1

15,083

py

Python

run_game_with_python_arcade.py

LiorAvrahami/fishy-game

e13d71ad04625edffc1ff32f56c918166f6b0bb9

[ "MIT" ]

5

2021-04-24T18:13:36.000Z

2021-08-31T13:54:55.000Z

run_game_with_python_arcade.py

LiorAvrahami/fishy-game

e13d71ad04625edffc1ff32f56c918166f6b0bb9

[ "MIT" ]

null

run_game_with_python_arcade.py

LiorAvrahami/fishy-game

e13d71ad04625edffc1ff32f56c918166f6b0bb9

[ "MIT" ]

null

import arcade import arcade.gui from modifications_to_python_arcade.gui_manager import ModifiedUIManager from modifications_to_python_arcade.resizeable_window import ResizeableWindow from arcade.gui.ui_style import UIStyle import fish from controls import PlayerControlsObject from fish_generator import RandomFishGene...

39.381201

211

0.679772

2,039

15,083

4.712604

0.14615

0.054116

0.028411

0.018316

0.399521

0.284733

0.197003

0.11791

0.095848

0.083047

0

0.014509

0.22774

15,083

382

212

39.484293

0.81044

0.047471

0

0.16

0

0.017241

0

1

0.12

false

0

0.058182

0.018182

0.301818

0

null

0

null

0

1

0

da7b3bc161256bb5501fd5bd641192702f9a7738

2,306

py

Python

pebbles/views/sessions.py

CSCfi/pebbles

24b32e8fc538cc8095fda62c892a8221346c2bce

[ "MIT" ]

4

2017-05-11T14:50:32.000Z

2020-01-10T09:02:27.000Z

pebbles/views/sessions.py

CSCfi/pebbles

24b32e8fc538cc8095fda62c892a8221346c2bce

[ "MIT" ]

145

2017-04-07T11:01:58.000Z

2019-12-11T15:30:23.000Z

pebbles/views/sessions.py

CSCfi/pebbles

24b32e8fc538cc8095fda62c892a8221346c2bce

[ "MIT" ]

3

2017-10-25T12:36:16.000Z

2018-04-26T08:49:34.000Z

from flask_restful import fields, marshal from flask import Blueprint as FlaskBlueprint import logging import json from pebbles.models import User from pebbles.forms import SessionCreateForm from pebbles.server import app, restful from pebbles.views.commons import is_group_manager, update_email # changed sessions =...

36.603175

98

0.624024

265

2,306

5.218868

0.358491

0.045553

0.050615

0.028923

0

0.005254

0.257155

2,306

62

99

37.193548

0.802102

0.030789

0

0.15905

0

1

0.019231

false

0.019231

0.153846

0

0.25

0.096154

0

null

0

null

0

1

0

da7bab95ad749f6149016b3bc152e246a371a757

6,138

py

Python

train_rrca.py

deepeshhada/ReXPlug

f6ba1e1707e04f82451fba8ada19c731c8f7c46e

[ "Apache-2.0" ]

6

2021-04-04T05:09:32.000Z

2022-01-21T10:59:20.000Z

train_rrca.py

deepeshhada/ReXPlug

f6ba1e1707e04f82451fba8ada19c731c8f7c46e

[ "Apache-2.0" ]

null

train_rrca.py

deepeshhada/ReXPlug

f6ba1e1707e04f82451fba8ada19c731c8f7c46e

[ "Apache-2.0" ]

1

2021-11-06T05:36:03.000Z

import argparse import os import pickle from copy import deepcopy import pandas as pd import torch.optim as optim from torch.utils.data import DataLoader from collate import CollateTrain, CollateTest from models.RRCA import * from utils.rrca_utils import evaluate, train_one_epoch def get_embeddings(dataset_path): ...

33.540984

117

0.750244

920

6,138

4.693478

0.197826

0.045855

0.031264

0.035665

0.229968

0.173692

0.112552

0.087077

0.064845

0

0.011473

0.119583

6,138

182

118

33.725275

0.787565

0.003258

0

0.102564

0

0.00641

0.145029

0.009647

0

1

0.025641

false

0

0.064103

0

0.115385

0.070513

0

null

0

null

0

1

0

da8173e404603548727bb332a693728554dd4658

3,927

py

Python

timekeeper/log.py

jmcph4/timekeeper

1ab850739c7071ebd8a4d1a63795d014bfa9c41b

[ "MIT" ]

null

timekeeper/log.py

jmcph4/timekeeper

1ab850739c7071ebd8a4d1a63795d014bfa9c41b

[ "MIT" ]

5

2017-07-19T10:09:32.000Z

2017-07-30T03:32:56.000Z

timekeeper/log.py

jmcph4/timekeeper

1ab850739c7071ebd8a4d1a63795d014bfa9c41b

[ "MIT" ]

null

from datetime import datetime import sqlite3 from . import slice class Log(object): """ Represents a series of slices, forming a log of how time was spent """ DT_FMT = "%Y-%m-%d %H:%M" _COL_WIDTH = 15 def __init__(self, slices): self._slices = {} for s in slices: ...

29.088889

164

0.507512

484

3,927

3.995868

0.272727

0.015512

0.018097

0.025336

0.333506

0.315926

0.297311

0.249741

0.212513

0

0.011458

0.355488

3,927

134

165

29.30597

0.752667

0.152279

0

0.243243

0

0.013514

0.136219

0.028008

0

1

0.135135

false

0

0.040541

0

0.297297

0

null

0

null

0

1

0

da820a998854815eb9a984cf6f47297e37abd1fc

709

py

Python

tests/test_utils.py

leugimkm/codeseeker

f8a1f8668807a2b02cbaf5c596d26164ba75e366

[ "MIT" ]

1

2022-02-02T04:43:32.000Z

tests/test_utils.py

leugimkm/codeseeker

f8a1f8668807a2b02cbaf5c596d26164ba75e366

[ "MIT" ]

7

2022-02-02T05:25:40.000Z

2022-03-23T17:16:19.000Z

tests/test_utils.py

leugimkm/codeseeker

f8a1f8668807a2b02cbaf5c596d26164ba75e366

[ "MIT" ]

null

import io import unittest from unittest.mock import patch from textwrap import dedent from codeseeker.utils import show class TestCodeSeekerUtils(unittest.TestCase): def test_show(self): data = [ {"path": "repository/path/to/file.py"}, {"path": "repository/path/to/file2.py"}, ...

24.448276

74

0.603667

83

709

5.012048

0.518072

0.134615

0.153846

0.096154

0.216346

0

0.011628

0.272214

709

28

75

25.321429

0.794574

0.014104

0

0.278336

0.15208

0

0.047619

1

0.047619

false

0

0.238095

0

0.333333

0

null

0

null

0

1

0

da828fe3ebcfe4b60891da48c991e49aa603a4a1

3,267

py

Python

cryptography/rail_fence_cipher/Python/rail_fence_cipher.py

avi-pal/al-go-rithms

5167a20f1db7b366ff19f2962c1746a02e4f5067

[ "CC0-1.0" ]

1,253

2017-06-06T07:19:25.000Z

2022-03-30T17:07:58.000Z

cryptography/rail_fence_cipher/Python/rail_fence_cipher.py

rishabh99-rc/al-go-rithms

4df20d7ef7598fda4bc89101f9a99aac94cdd794

[ "CC0-1.0" ]

554

2017-09-29T18:56:01.000Z

2022-02-21T15:48:13.000Z

cryptography/rail_fence_cipher/Python/rail_fence_cipher.py

rishabh99-rc/al-go-rithms

4df20d7ef7598fda4bc89101f9a99aac94cdd794

[ "CC0-1.0" ]

2,226

2017-09-29T19:59:59.000Z

2022-03-25T08:59:55.000Z

# used for decryption, take the second element for sorting def takeSecond(elem): return elem[1] def display_rail(lines): depth = len(lines) col = len(lines[0]) # depth is the number of rows of the grid # lines is a tuple where line[i] is the i-th line to print # col is the number of columns = number of charac...

27.923077

94

0.685644

520

3,267

4.280769

0.236538

0.049416

0.016173

0.02965

0.340072

0.323001

0.30009

0.287511

0.27044

0.237197

0

0.012864

0.191001

3,267

116

95

28.163793

0.829361

0.367309

0

0.457143

0

0.132713

0

1

0.057143

false

0

0.014286

0.1

0.214286

0

null

0

null

0

1

0

da85a9841500fbd6e450901a3ca02828bbbeb03f

1,443

py

Python

selfdrive/can/tests/test_packer_chrysler.py

matthewklinko/openpilot

b0563a59684d0901f99abbb58ac1fbd729ded1f9

[ "MIT" ]

4

2019-02-12T03:06:31.000Z

2020-07-17T03:54:46.000Z

selfdrive/can/tests/test_packer_chrysler.py

matthewklinko/openpilot

b0563a59684d0901f99abbb58ac1fbd729ded1f9

[ "MIT" ]

3

2020-09-08T07:21:59.000Z

2020-09-08T07:22:07.000Z

selfdrive/can/tests/test_packer_chrysler.py

matthewklinko/openpilot

b0563a59684d0901f99abbb58ac1fbd729ded1f9

[ "MIT" ]

4

2019-05-21T19:02:46.000Z

2020-03-24T14:27:45.000Z

import unittest import random from selfdrive.can.tests.packer_old import CANPacker as CANPackerOld from selfdrive.can.packer import CANPacker import selfdrive.car.chrysler.chryslercan as chryslercan class TestPackerMethods(unittest.TestCase): def setUp(self): self.chrysler_cp_old = CANPackerOld("chrysler_pacif...

40.083333

120

0.726265

203

1,443

4.871921

0.315271

0.105157

0.113246

0.051567

0.435794

0.344793

0.293225

0.173913

0.084934

0

0.039037

0.165627

1,443

35

121

41.228571

0.782392

0.02772

0

0.074074

0

0.057816

0.041399

0

0.074074

1

0.074074

false

0

0.185185

0

0.296296

0

null

0

null

0

1

0

da85c358f54be05780771410e2c91e3ce7581a8d

9,156

py

Python

kddg/api/layers.py

Kortemme-Lab/kddg

9fc09172abbefd4fef49261687c60a9bd9b6b29b

[ "MIT" ]

2

2016-06-14T00:32:02.000Z

2020-05-04T03:29:46.000Z

kddg/api/layers.py

Kortemme-Lab/kddg

9fc09172abbefd4fef49261687c60a9bd9b6b29b

[ "MIT" ]

null

kddg/api/layers.py

Kortemme-Lab/kddg

9fc09172abbefd4fef49261687c60a9bd9b6b29b

[ "MIT" ]

null

#!/usr/bin/python2.4 # encoding: utf-8 """ api_layers.py The definition of the layers of the database API and the generic user interface class. Created by Shane O'Connor 2015. Copyright (c) 2015 __UCSF__. All rights reserved. """ import inspect import functools from klab import colortext from kddg.api import settin...

34.292135

257

0.662844

1,152

9,156

4.978299

0.212674

0.056495

0.050218

0.020924

0.356582

0.33531

0.296774

0.207149

0.150654

0.122406

0

0.009556

0.245631

9,156

266

258

34.421053

0.820762

0.108126

0

0.302198

0

0.093132

0

0.005495

1

0.137363

false

0.021978

0.010989

0.296703

0.010989

0

null

0

null

0

1

0

da8712cd2ff361045352f744da703fa2ec6f82df

3,142

py

Python

fb_api.py

wing3s/shop_bot

4c6a34538ac8de9999edae190f6269bc6a63c2cf

[ "BSD-3-Clause" ]

1

2016-04-11T01:18:53.000Z

fb_api.py

wing3s/shop_bot

4c6a34538ac8de9999edae190f6269bc6a63c2cf

[ "BSD-3-Clause" ]

null

fb_api.py

wing3s/shop_bot

4c6a34538ac8de9999edae190f6269bc6a63c2cf

[ "BSD-3-Clause" ]

null

import os import requests import time import ConfigParser import logging import logging.config from requests.exceptions import RequestException from helper import get_logger, base_path config = ConfigParser.ConfigParser() config.read(os.path.join(base_path, 'config.ini')) logger = get_logger('fb_api', __file__) __au...

34.152174

70

0.510185

341

3,142

4.510264

0.316716

0.03186

0.029259

0.028609

0.287386

0.23407

0.196359

0

0.013306

0.378103

3,142

92

71

34.152174

0.773797

0.001591

0

0.349398

0

0.103349

0

1

0.048193

false

0

0.096386

0

0.301205

0

null

0

null

0

1

0

da89128d24114037df1325dfa4587c3b0ac3e279

6,409

py

Python

examples/formula_library.py

bherbruck/plend

55271d79c983cc3b3307661833c5a7dcc11efc32

[ "MIT" ]

5

2020-02-21T09:22:58.000Z

2021-09-07T16:39:47.000Z

examples/formula_library.py

bherbruck/plend

55271d79c983cc3b3307661833c5a7dcc11efc32

[ "MIT" ]

null

examples/formula_library.py

bherbruck/plend

55271d79c983cc3b3307661833c5a7dcc11efc32

[ "MIT" ]

1

2022-01-26T20:00:47.000Z

""" This example shows how to statically define formulas, add them to a formula library, optimize them, and output the results. "Statically in this context means we are manually setting the attribures (min and max) for each ingredient and nutrient rather defining them dynamically (which is where plend really shines) ...

60.462264

157

0.568575

656

6,409

5.478659

0.217988

0.054257

0.040067

0.045075

0.497496

0.458542

0.393434

0.217585

0.062883

0.031163

0

0.164482

0.345452

6,409

106

158

60.462264

0.692253

0.107037

0

0.036424

0.013907

0

0.009434

0

1

0

false

0

0.054054

0

0.054054

0.027027

0

null

0

null

0

1

0

da89cac67e3dd9455f993529126f6ea3e387def3

1,278

py

Python

sstmap/scripts/dtr_to_netcdf.py

ssabrii/SSTMap

f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9

[ "MIT" ]

23

2017-12-12T17:59:26.000Z

2022-02-01T20:19:56.000Z

sstmap/scripts/dtr_to_netcdf.py

ssabrii/SSTMap

f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9

[ "MIT" ]

45

2017-05-03T14:05:19.000Z

2022-03-02T07:28:39.000Z

sstmap/scripts/dtr_to_netcdf.py

ssabrii/SSTMap

f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9

[ "MIT" ]

24

2017-04-28T19:49:56.000Z

2021-11-05T17:57:02.000Z

from argparse import ArgumentParser import mdtraj as md def parse_args(): """Parse the command line arguments and perform some validation on the arguments Returns ------- args : argparse.Namespace The namespace containing the arguments """ parser = ArgumentParser( descripti...

29.045455

74

0.628326

152

1,278

5.098684

0.486842

0.034839

0.065806

0.051613

0.061935

0

0.002041

0.233177

1,278

43

75

29.72093

0.788776

0.126761

0

0.258986

0

1

0.111111

false

0

0.074074

0

0.222222

0.185185

0

null

0

null

0

1

0

da8e614ab7b081bdccebe5c0752328dc5769b689

11,303

py

Python

fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py

totuwei/corundum

e983ad519fb4523d0ffca32f5e436195bcfc945c

[ "BSD-2-Clause-FreeBSD" ]

544

2019-08-12T03:45:32.000Z

2022-03-19T14:17:20.000Z

fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py

akira2009999/corundum

cdc14769c33186c6d45fcd79b95c70889febff2b

[ "BSD-2-Clause-FreeBSD" ]

78

2020-08-20T20:06:33.000Z

2022-03-30T23:44:37.000Z

fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py

akira2009999/corundum

cdc14769c33186c6d45fcd79b95c70889febff2b

[ "BSD-2-Clause-FreeBSD" ]

142

2019-07-15T04:23:23.000Z

2022-03-29T01:25:33.000Z

#!/usr/bin/env python """ Copyright (c) 2019 Alex Forencich 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 without limitation the rights to use, copy, modify, merg...

35.211838

166

0.657348

1,674

11,303

4.038829

0.158303

0.101168

0.076912

0.066262

0.56042

0.4841

0.327171

0.308978

0.291229

0.221269

0

0.02679

0.253649

11,303

320

167

35.321875

0.774656

0.107228

0

0.244635

0

0.031867

0.002184

0

0.002581

0

0.038627

1

0.030043

false

0

0.017167

0

0.051502

0.034335

0

null

0

null

0

1

0

da8e6b5d27ab3ab699761ec5dcf3eadc2360c2c0

5,713

py

Python

scrape_votes.py

purrcat259/reddit-vote-grapher

0a0f1dccee7befc6e94e856d09eb61b546b34644

[ "MIT" ]

1

2016-05-18T06:30:26.000Z

scrape_votes.py

purrcat259/reddit-vote-grapher

0a0f1dccee7befc6e94e856d09eb61b546b34644

[ "MIT" ]

null

scrape_votes.py

purrcat259/reddit-vote-grapher

0a0f1dccee7befc6e94e856d09eb61b546b34644

[ "MIT" ]

null

#!/usr/bin/python3 import time import os import csv import praw import OAuth2Util from pprint import pprint class SubmissionCSV: def __init__(self, file_name='', csv_directory='data'): self.file_name = file_name + '.csv' self.file_path = os.path.join(os.getcwd(), csv_directory, self.file_name) ...

37.585526

114

0.593033

688

5,713

4.765988

0.252907

0.067399

0.070448

0.029277

0.165294

0.093626

0.031717

0

0.009512

0.300718

5,713

151

115

37.834437

0.811264

0.097322

0

0.10084

0

0.008403

0.075233

0.005638

0

1

0.117647

false

0.008403

0.05042

0

0.201681

0.117647

0

null

0

null

0

1

0

da9203437dccc2b66c4d623067b94d8a0a97c3de

3,488

py

Python

DeleteBook.py

saurabhmaurya45/library-management-system

2e489728068cca87ed58f493ac2524b6586f66cf

[ "Apache-2.0" ]

null

DeleteBook.py

saurabhmaurya45/library-management-system

2e489728068cca87ed58f493ac2524b6586f66cf

[ "Apache-2.0" ]

null

DeleteBook.py

saurabhmaurya45/library-management-system

2e489728068cca87ed58f493ac2524b6586f66cf

[ "Apache-2.0" ]

null

from tkinter import * import pymysql as ms from tkinter import messagebox # Add your own database name and password here to reflect in the code mypass = "saurabh" mydatabase = "library" con = ms.connect(host="localhost", user="root", password=mypass, database=mydatabase) cur = con.cursor() # Enter Table...

35.591837

119

0.556479

443

3,488

4.376975

0.363431

0.041774

0.046416

0.03507

0.240846

0.22589

0.174317

0.114492

0

0.062041

0.297592

3,488

97

120

35.958763

0.729388

0.076261

0

0.149254

0

0.15061

0

1

0.029851

false

0.029851

0.044776

0

0.074627

0.104478

0

null

0

null

0

1

0

da920dcd51ae362c5f26a3360b65c16937f31fe7

8,474

py

Python

asdf/extension.py

larrybradley/asdf

b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

asdf/extension.py

larrybradley/asdf

b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

asdf/extension.py

larrybradley/asdf

b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst # -*- coding: utf-8 -*- import os import abc import warnings from pkg_resources import iter_entry_points import six import importlib from . import types from . import resolver from .util import get_class_name from .type_index import AsdfTypeIndex from ....

33.362205

80

0.623554

1,006

8,474

5.097416

0.269384

0.031201

0.023206

0.006435

0.205733

0.146451

0.115055

0.100234

0.081513

0.067473

0

0.001516

0.299504

8,474

253

81

33.494071

0.862365

0.345291

0

0.267176

0

0.070767

0.009462

0

1

0.152672

false

0.022901

0.091603

0.061069

0.381679

0

null

0

null

0

1

0

da923abab5b7e2cb6e8f37c23f2fa4cc9504aff5

2,153

py

Python

source/setup.py

Sylvain-Barde/mic-toolbox

10d9d930a1a359aaa831f2f917eff357a3d5282e

[ "BSD-3-Clause" ]

4

2019-06-28T20:36:33.000Z

2022-01-04T21:49:52.000Z

source/setup.py

Sylvain-Barde/mic-toolbox

10d9d930a1a359aaa831f2f917eff357a3d5282e

[ "BSD-3-Clause" ]

1

2019-06-27T14:52:52.000Z

2019-07-04T14:14:14.000Z

source/setup.py

Sylvain-Barde/mic-toolbox

10d9d930a1a359aaa831f2f917eff357a3d5282e

[ "BSD-3-Clause" ]

1

2019-06-27T13:33:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Created on Wed Sep 12 14:48:07 2018 @author: sb636 """ import os import sys from setuptools import setup, Extension, find_packages from distutils.errors import DistutilsModuleError # Check for cython installation try: from Cython.Distutils import b...

29.902778

85

0.625639

258

2,153

5.100775

0.472868

0.079027

0.021277

0.024316

0.051672

0

0.013325

0.267998

2,153

71

86

30.323944

0.821701

0.099861

0

0.081633

0

0.132615

0

1

0.081633

false

0

0.183673

0

0.326531

0

null

0

null

0

1

0

da92ca41103ff60b1a50e24d1900c7aae0620a32

4,049

py

Python

api-reconstruction/ipython_analysis.py

eurecom-s3/syscall2api

2f2c72c759b0fd803fe1302c3b6717cda1906916

[ "MIT" ]

10

2019-09-24T13:36:15.000Z

2021-11-01T02:40:10.000Z

api-reconstruction/ipython_analysis.py

eurecom-s3/syscall2api

2f2c72c759b0fd803fe1302c3b6717cda1906916

[ "MIT" ]

2

2020-10-19T11:51:08.000Z

2021-04-17T01:08:23.000Z

api-reconstruction/ipython_analysis.py

eurecom-s3/syscall2api

2f2c72c759b0fd803fe1302c3b6717cda1906916

[ "MIT" ]

null

#!/usr/local/bin/ipython3 -i import sys from analysis import * import analysis.classes as classes import nwalign as nw kb = {} apis = {} syscalls = {} regexes = {} models = {} models2 = {} kb_file = 'kb_no_empties.pickle' regex_file = 'new_regex.pickle' models_file = 'models.pickle' models2_file = 'models2.pickle' ...

28.716312

79

0.678686

551

4,049

4.727768

0.185118

0.055278

0.029942

0.013052

0.127447

0.098273

0.087524

0.031478

0

0.004456

0.224006

4,049

140

80

28.921429

0.824634

0.056557

0

0.160714

0

0.153987

0

1

0.017857

false

0

0.035714

0

0.053571

0.169643

0

null

0

null

0

1

0

16f0b6155221bd21f39e5a25133a8324a5286c72

3,785

py

Python

accessdata/api/extensions.py

AccessDataOps/FTK-API-SDK

34e689a55eadacc51e6ff585e9126799f80e269a

[ "MIT" ]

2

2021-12-10T10:20:08.000Z

2022-01-06T11:15:43.000Z

accessdata/api/extensions.py

AccessDataOps/FTK-API-SDK

34e689a55eadacc51e6ff585e9126799f80e269a

[ "MIT" ]

null

accessdata/api/extensions.py

AccessDataOps/FTK-API-SDK

34e689a55eadacc51e6ff585e9126799f80e269a

[ "MIT" ]

null

## /api/extensions.py """ Maintains the API endpoint URI extensions. """ ## Declaring __all__ __all__ = ( "status_check_ext", "site_server_status_check_ext", "case_create_ext", "case_list_ext", "case_create_portable_ext", "evidence_list_ext", "evidence_processed_list_ext", "evidence_process_ext", "object_pa...

33.495575

97

0.763804

476

3,785

5.638655

0.22479

0.086066

0.069672

0.088674

0.335693

0.259314

0.086811

0.029806

0

0.000298

0.113606

3,785

113

98

33.495575

0.799702

0.090092

0

0.491501

0.382474

0

1

0

false

0

0.055556

0

0.055556

0

null

0

null

0

1

0

16f0f93ca79ae51931ef205e9c059a600e80445c

1,982

py

Python

evaluators/dialog/state/distinct.py

kaniblu/vhda

35941097ef552568c29f66cc55d8ce1927f34978

[ "MIT" ]

3

2021-01-12T05:43:20.000Z

2021-03-05T17:03:06.000Z

evaluators/dialog/state/distinct.py

kaniblu/vhda

35941097ef552568c29f66cc55d8ce1927f34978

[ "MIT" ]

null

evaluators/dialog/state/distinct.py

kaniblu/vhda

35941097ef552568c29f66cc55d8ce1927f34978

[ "MIT" ]

null

__all__ = ["DistinctStateEvaluator"] from dataclasses import dataclass from typing import Sequence, Optional import torch import utils from utils import TensorMap from datasets import VocabSet from ...evaluator import DialogEvaluator @dataclass class DistinctStateEvaluator(DialogEvaluator): vocabs: VocabSet ...

33.59322

79

0.584258

239

1,982

4.769874

0.309623

0.031579

0.023684

0.034211

0.173684

0.1

0

0.002952

0.316347

1,982

58

80

34.172414

0.838376

0

0.042553

0

0.028254

0.0111

0

1

0.12766

false

0

0.148936

0.06383

0.468085

0

null

0

null

0

1

0

16f2f95568be402c343f83e95bd816466c4a6dd1

1,788

py

Python

src/dataset/manually_labeled_bases.py

yullidias/AutomaticIronyDetection

3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9

[ "MIT" ]

null

src/dataset/manually_labeled_bases.py

yullidias/AutomaticIronyDetection

3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9

[ "MIT" ]

1

2020-12-05T14:22:03.000Z

src/dataset/manually_labeled_bases.py

yullidias/AutomaticIronyDetection

3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9

[ "MIT" ]

null

import src.utils.constants as cns from src.utils.files import write_list import pandas as pd import glob import os def read_sheets(): manually_labeled_df = pd.DataFrame() for sheet in glob.glob(cns.PATH_LABELED + '*'): manually_labeled_df = manually_labeled_df.append( pd.read_excel(sh...

26.294118

77

0.644295

243

1,788

4.440329

0.325103

0.074143

0.063021

0.037071

0.222428

0.18721

0.087118

0

0.001461

0.23434

1,788

67

78

26.686567

0.786706

0

0.143736

0

1

0.145833

false

0

0.104167

0.041667

0.395833

0.041667

0

null

0

null

0

1

0

16f4d90e8a8de6335b4d40090aa8cb9b83b7e850

871

py

Python

Larry/preprocess.py

NCBI-Hackathons/ClusterDuck

1d5478500dffea973f96affd969783278193aa8a

[ "MIT" ]

7

2019-02-19T15:10:24.000Z

2020-05-31T00:41:13.000Z

Larry/preprocess.py

NCBI-Hackathons/ClusterDuck

1d5478500dffea973f96affd969783278193aa8a

[ "MIT" ]

11

2018-03-21T20:01:32.000Z

2022-03-11T23:19:40.000Z

Larry/preprocess.py

NCBI-Hackathons/DiseaseClusters

1d5478500dffea973f96affd969783278193aa8a

[ "MIT" ]

3

2018-03-19T13:14:23.000Z

2018-03-20T14:13:38.000Z

from nltk.corpus import stopwords from nltk.tokenize import RegexpTokenizer from nltk.stem import WordNetLemmatizer STOPWORDS = set(stopwords.words('english')) # Instantiate Lemmanizer WNL = WordNetLemmatizer() def preprocess(abstract, keywords=None): """ Convert an abstract to word tokens. This is done by...

26.393939

77

0.6969

102

871

5.95098

0.539216

0.039539

0

0.228473

871

32

78

27.21875

0.903274

0.394948

0

0.031513

0

1

0.090909

false

0

0.272727

0

0.454545

0

null

0

null

0

1

0

16f520db46f1b8b8a53e17ff7a93ac14fed25f00

16,848

py

Python

Codes/env.py

zongdaoming/Reinforcement-Learning

426b646b1184e96d8a0f6c6341e53b13ef89ea12

[ "Apache-2.0" ]

1

2021-04-20T13:49:55.000Z

Codes/env.py

zongdaoming/Reinforcement-Learning

426b646b1184e96d8a0f6c6341e53b13ef89ea12

[ "Apache-2.0" ]

1

2021-04-18T18:27:49.000Z

Codes/env.py

zongdaoming/Reinforcement-Learning

426b646b1184e96d8a0f6c6341e53b13ef89ea12

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @author : naive dormin # @time : 2021/04/19 02:17:43 # @version : 1.0.0 import os import time import numpy as np import random from utils import * import pickle from ConvE import ConvE_double import torch import torch.autograd as autograd import torch.nn as ...

42.014963

107

0.553063

1,927

16,848

4.623249

0.149974

0.034572

0.038164

0.042429

0.393086

0.328656

0.275564

0.234706

0.196543

0.165563

0

0.032135

0.344314

16,848

400

108

42.12

0.774328

0.094611

0

0.237624

0

0.081437

0.063137

0

1

0.016502

false

0.006601

0.039604

0

0.079208

0.026403

0

null

0

null

0

1

0

16f718d511a624ff6bafcf060c184c7b35cb49f0

2,608

py

Python

txrtpengine/NGCPProxy.py

braams/txrtpengine

5511cf79d7fc338b28d927c19e5ff3b88e66a5be

[ "MIT" ]

null

txrtpengine/NGCPProxy.py

braams/txrtpengine

5511cf79d7fc338b28d927c19e5ff3b88e66a5be

[ "MIT" ]

null

txrtpengine/NGCPProxy.py

braams/txrtpengine

5511cf79d7fc338b28d927c19e5ff3b88e66a5be

[ "MIT" ]

null

import json from twisted.internet import reactor from twisted.python import log from twisted.web.resource import Resource from twisted.web.server import NOT_DONE_YET from twisted.web.server import Site from txrtpengine.NGCP import NGCPClient class NGCPProxy(Resource): def __init__(self, addr): self.c =...

33.435897

107

0.625383

321

2,608

4.965732

0.417445

0.041405

0.035132

0.016939

0.100376

0.032622

0

0.017792

0.267255

2,608

77

108

33.87013

0.816327

0.132285

0

0.039216

0

0.066933

0

1

0.137255

false

0

0.176471

0

0.45098

0

null

0

null

0

1

0

16f73a2d16ee1a1b4874c0d6207d250cd9f1609d

6,980

py

Python

ise_session_gui.py

ComtecSystem-dev/ise_session

299bf47b7584094c7722a27a5cbec704e8acc084

[ "Apache-2.0" ]

null

ise_session_gui.py

ComtecSystem-dev/ise_session

299bf47b7584094c7722a27a5cbec704e8acc084

[ "Apache-2.0" ]

null

ise_session_gui.py

ComtecSystem-dev/ise_session

299bf47b7584094c7722a27a5cbec704e8acc084

[ "Apache-2.0" ]

null

import sys import requests import xmltodict from functools import partial from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt from PyQt5 import uic #Link : Qt5 UI File # - condition : The UI file should be located in the sam directory as the this file form_class = uic.loadUiType("./ise_session.ui")...

41.058824

109

0.570487

807

6,980

4.72119

0.22057

0.033071

0.018898

0.033596

0.298163

0.275591

0.234646

0

0.013834

0.316476

6,980

170

110

41.058824

0.784741

0.039398

0

0.227273

0

0.13174

0

1

0.060606

false

0.007576

0.05303

0

0.166667

0.045455

0

null

0

null

0

1

0

16fa7014b2509e362e1a19500f13adaa6c41db09

1,109

py

Python

caption_generation/sub_json.py

Collapsar-G/clevr-dataset-gen

a09b0559b53891bf4f4771190e4ad361406c67fe

[ "BSD-3-Clause" ]

1

2021-05-23T13:48:59.000Z

caption_generation/sub_json.py

Collapsar-G/clevr-dataset-gen

a09b0559b53891bf4f4771190e4ad361406c67fe

[ "BSD-3-Clause" ]

null

caption_generation/sub_json.py

Collapsar-G/clevr-dataset-gen

a09b0559b53891bf4f4771190e4ad361406c67fe

[ "BSD-3-Clause" ]

null

import argparse import json import os import ijson parser = argparse.ArgumentParser() # /questions/CLEVR_test_questions.json # Inputs parser.add_argument('--all_scene_paths', default='../data/CLEVR_v1.0/scenes', help="JSON file containing questions information for all images " + ...

34.65625

103

0.627592

140

1,109

4.728571

0.485714

0.036254

0.058912

0.054381

0.057402

0

0.017794

0.239856

1,109

31

104

35.774194

0.767497

0.055005

0

0.321839

0.084291

0

1

0

false

0

0.16

0

0.16

0

null

0

null

0

1

0

e50054bcfcc58e68ad2fe236a5c12539ae5190f0

39,700

py

Python

det3d/models/bbox_heads/clear_mg_ohs_head.py

Lelin-HUNUST/VISTA

7bf34132d719cb0e5e803b92cd15451df58a9a5d

[ "MIT" ]

47

2022-03-21T02:41:39.000Z

2022-03-30T17:25:29.000Z

det3d/models/bbox_heads/clear_mg_ohs_head.py

Lelin-HUNUST/VISTA

7bf34132d719cb0e5e803b92cd15451df58a9a5d

[ "MIT" ]

1

2022-03-28T15:11:26.000Z

2022-03-28T16:27:40.000Z

det3d/models/bbox_heads/clear_mg_ohs_head.py

Lelin-HUNUST/VISTA

7bf34132d719cb0e5e803b92cd15451df58a9a5d

[ "MIT" ]

2

2022-03-23T12:56:14.000Z

2022-03-27T14:25:50.000Z

# Copyright (c) Gorilla-Lab. All rights reserved. import logging from functools import partial from collections import defaultdict from typing import Dict, List, Optional, Sequence import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from ..losses.ohs_loss_clear import OHSLossClear fr...

46.541618

133

0.540227

4,925

39,700

4.033503

0.096041

0.033828

0.038611

0.019935

0.420992

0.349711

0.26821

0.225925

0.169444

0.152882

0

0.015431

0.358463

39,700

852

134

46.596244

0.764537

0.093325

0

0.204511

0

0.036144

0.000615

0

0.009023

1

0.018045

false

0

0.02406

0

0.058647

0

null

0

null

0

1

0

e501d8d323b13656dcc8aa99310855c82f2554fb

4,267

py

Python

run_full_dataset.py

TimoK93/ApLift

732070175ab6bf76db5b0c793cdb4a1fb5d235d7

[ "MIT" ]

4

2021-09-23T17:44:01.000Z

2022-01-10T07:14:25.000Z

run_full_dataset.py

TimoK93/ApLift

732070175ab6bf76db5b0c793cdb4a1fb5d235d7

[ "MIT" ]

1

2021-10-18T07:41:31.000Z

run_full_dataset.py

TimoK93/ApLift

732070175ab6bf76db5b0c793cdb4a1fb5d235d7

[ "MIT" ]

null

""" A script to run the main script with all sequences of a dataset. To use the script a config.yaml needs to be specified. Example usage: python3 main.py config/example_config.yaml if "pretrained_model_path" is passed as an argument in the config, training is skipped and pretrained models are used for the infer...

40.638095

117

0.588704

578

4,267

4.207612

0.261246

0.069079

0.059211

0.046875

0.362253

0.280839

0.263158

0.260691

0

0.028779

0.258964

4,267

104

118

41.028846

0.740354

0.093743

0

0.266667

0

0.172127

0.012084

0

1

0.026667

false

0

0.066667

0

0.093333

0.04

0

null

0

null

0

1

0

e5033a61e857baa0aed9b97b41edbcf668557962

298

py

Python

_Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py

JUD210/Study-Note

2add9db3f11d99370f49878f0c19e9caa60d2d02

[ "MIT" ]

null

_Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py

JUD210/Study-Note

2add9db3f11d99370f49878f0c19e9caa60d2d02

[ "MIT" ]

null

_Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py

JUD210/Study-Note

2add9db3f11d99370f49878f0c19e9caa60d2d02

[ "MIT" ]

null

# https://www.hackerrank.com/challenges/excluding-specific-characters/problem import re # Inputs standard_input = """think?""" Regex_Pattern = ( r"^[^\d][^aeiou][^bcDF][^\r\n\t\f\s][^AEIOU][^.,]$" ) # Do not delete 'r'. print(str(bool(re.search(Regex_Pattern, input()))).lower()) # true

18.625

77

0.64094

41

298

4.585366

0.829268

0.12766

0

0.114094

298

15

78

19.866667

0.712121

0.355705

0

0.28877

0.256684

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

e503d96de70079ddac429727f7983b8a0fcdef59

354

py

Python

toroid/toroid/pairs.py

LeoTindall/corewar32

c29891ca67c01dd65d01d120364a010eb12eb255

[ "Apache-2.0" ]

null

toroid/toroid/pairs.py

LeoTindall/corewar32

c29891ca67c01dd65d01d120364a010eb12eb255

[ "Apache-2.0" ]

1

2016-08-06T23:20:56.000Z

toroid/toroid/pairs.py

SilverWingedSeraph/corewar32

c29891ca67c01dd65d01d120364a010eb12eb255

[ "Apache-2.0" ]

null

def make_pairings(warriors): if len(warriors) == 0: return False, False pairings = [] for (warrior1, warrior2) in zip(warriors[0::2], warriors[1::2]): pairings.append((warrior1, warrior2)) if len(warriors) % 2 == 0: odd_one_out = False else: odd_one_out = warriors[-1]...

29.5

68

0.610169

47

354

4.446809

0.446809

0.086124

0.129187

0

0.045802

0.259887

354

11

69

32.181818

0.751908

0

1

0.090909

false

0

0.272727

0

null

0

null

0

1

0

e504a4528ab13dc7037b0bc87eb63a2bf6c3d4cb

2,550

py

Python

tests/test_deny_mime_type_validator.py

fastmonkeys/pontus

6542190aae896cd79c55f7f43e98a6bf3cbc613b

[ "MIT" ]

4

2017-04-24T10:17:28.000Z

2020-05-28T06:25:03.000Z

tests/test_deny_mime_type_validator.py

fastmonkeys/pontus

6542190aae896cd79c55f7f43e98a6bf3cbc613b

[ "MIT" ]

9

2015-02-23T14:27:37.000Z

2021-02-24T13:23:41.000Z

tests/test_deny_mime_type_validator.py

fastmonkeys/pontus

6542190aae896cd79c55f7f43e98a6bf3cbc613b

[ "MIT" ]

1

2017-08-14T16:40:44.000Z

# -*- coding: utf-8 -*- import os import pytest import boto3 from pontus.exceptions import ValidationError from pontus.validators import DenyMimeType class TestDenyMimeTypeValidator(object): @pytest.fixture def jpeg_key(self, bucket): with open(os.path.join( os.path.dirname(__file__), ...

29.310345

78

0.608627

292

2,550

5.034247

0.25

0.061905

0.069388

0.081633

0.644218

0.57483

0.554422

0.444218

0.385714

0

0.002221

0.293725

2,550

86

79

29.651163

0.813992

0.008235

0

0.432432

0

0.159478

0.009102

0

0.054054

1

0.108108

false

0

0.067568

0

0.202703

0

null

0

null

0

1

0

e50744ae0a91afd75f5121562b3f88c9fadcfea8

1,966

py

Python

MyModel/signLanguageTranslator.py

rahulmishra11/Sign-Language-Translator

83b6907f722324d01142ab25e9e9cf806c51b0d3

[ "Apache-2.0" ]

null

MyModel/signLanguageTranslator.py

rahulmishra11/Sign-Language-Translator

83b6907f722324d01142ab25e9e9cf806c51b0d3

[ "Apache-2.0" ]

null

MyModel/signLanguageTranslator.py

rahulmishra11/Sign-Language-Translator

83b6907f722324d01142ab25e9e9cf806c51b0d3

[ "Apache-2.0" ]

null

import tensorflow as tf import pandas as pd import numpy as np import tensorflow.keras as keras train = pd.read_csv("./sign_mnist_train/sign_mnist_train.csv") test = pd.read_csv("./sign_mnist_test/sign_mnist_test.csv") # put labels into y_train variable Y_train = train["label"] # Drop 'label' column X_train = train....

29.787879

87

0.715158

301

1,966

4.508306

0.269103

0.113486

0.062638

0.08843

0.537214

0.450258

0.422255

0

0.041351

0.126653

1,966

65

88

30.246154

0.748981

0.066124

0

0.288889

0

0.143794

0.058502

0

1

0

false

0

0.088889

0

0.088889

0.111111

0

null

0

null

0

1

0

e507533d51e8ae8cde7f283f5c299ebd345bec98

5,817

py

Python

gammapy/detect/tests/test_kernel.py

grburgess/gammapy

609e460698caca7223afeef5e71826c7b32728d1

[ "BSD-3-Clause" ]

3

2019-01-28T12:21:14.000Z

2019-02-10T19:58:07.000Z

gammapy/detect/tests/test_kernel.py

grburgess/gammapy

609e460698caca7223afeef5e71826c7b32728d1

[ "BSD-3-Clause" ]

null

gammapy/detect/tests/test_kernel.py

grburgess/gammapy

609e460698caca7223afeef5e71826c7b32728d1

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst from __future__ import absolute_import, division, print_function, unicode_literals import numpy as np from numpy.testing import assert_allclose from astropy.io import fits from astropy.units import Quantity from astropy.coordinates.angles import Angle from...

36.130435

97

0.677153

698

5,817

5.47851

0.302292

0.020136

0.013598

0.021967

0.317469

0.299425

0.275366

0.252877

0.234048

0.195607

0

0.026203

0.238955

5,817

160

98

36.35625

0.837588

0.223655

0

0.28866

0

0.020184

0

0.103093

1

0.061856

false

0

0.123711

0

0.195876

0.010309

0

null

0

null

0

1

0

e508b0cb043508fe01e3e1d06e6baa67a2130ba3

4,772

py

Python

morsesmale.py

scotthellman/discrete-topology

6182fe607868d88c462c185be8629a35ad2d7c37

[ "MIT" ]

null

morsesmale.py

scotthellman/discrete-topology

6182fe607868d88c462c185be8629a35ad2d7c37

[ "MIT" ]

null

morsesmale.py

scotthellman/discrete-topology

6182fe607868d88c462c185be8629a35ad2d7c37

[ "MIT" ]

null

import networkx as nx import numpy as np import scipy import graph import itertools from collections import defaultdict def calculate_persistence(crystal, other, minimum_value, G, function_vals): minimums = [] min_vertices = [] other = set(other) for vertex in crystal: neighbors = set(G.neighbo...

34.832117

91

0.615884

567

4,772

5.017637

0.241623

0.059051

0.029877

0.025308

0.165905

0.134622

0.047803

0

0.007136

0.295264

4,772

137

92

34.832117

0.838537

0.028709

0

0.059322

0

0.00259

0

0.007299

0

1

0.050847

false

0

0.059322

0

0.169492

0.025424

0

null

0

null

0

1

0

e50969a938fad964949586d116b12c2990a0ae87

2,054

py

Python

pyxll_jupyter/widget.py

TanKingsley/pyxll-jupyter

4f7b3eb361079b74683d89340dfff9576fb2ff41

[ "MIT" ]

1

2020-12-28T10:40:38.000Z

pyxll_jupyter/widget.py

TanKingsley/pyxll-jupyter

4f7b3eb361079b74683d89340dfff9576fb2ff41

[ "MIT" ]

null

pyxll_jupyter/widget.py

TanKingsley/pyxll-jupyter

4f7b3eb361079b74683d89340dfff9576fb2ff41

[ "MIT" ]

null

""" JupyterQtWidget is the widget that gets embedded in Excel and hosts a tabbed browser widget containing the Jupyter notebook. """ from .kernel import start_kernel, launch_jupyter from .browser import Browser from .qtimports import QWidget, QVBoxLayout import subprocess import ctypes class JupyterQtWidget(QWidget):...

36.678571

95

0.619279

246

2,054

5.089431

0.47561

0.031949

0.028754

0

0.011096

0.297955

2,054

55

96

37.345455

0.857143

0.221519

0

0.011356

0

1

0.057143

false

0

0.142857

0

0.228571

0

null

0

null

0

1

0

e50c65e44676b2b7cbe06fd4c5deb5f102a8415d

621

py

Python

py/A Rule Of Divisibility By 13.py

aadithpm/code-a-day

18d7c1847e14d32d33d09d29f8847b6252c6e9e6

[ "Unlicense" ]

3

2018-03-16T14:52:40.000Z

2020-12-04T10:12:07.000Z

py/A Rule Of Divisibility By 13.py

aadithpm/code-a-day

18d7c1847e14d32d33d09d29f8847b6252c6e9e6

[ "Unlicense" ]

null

py/A Rule Of Divisibility By 13.py

aadithpm/code-a-day

18d7c1847e14d32d33d09d29f8847b6252c6e9e6

[ "Unlicense" ]

5

2017-06-30T05:35:00.000Z

2019-07-13T08:05:30.000Z

""" https://www.codewars.com/kata/564057bc348c7200bd0000ff/train/python """ def thirt(n): seq = [1,10,9,12,3,4] n = list(int(i) for i in reversed(str(n))) if len(seq) < len(n): compute1 = [i for i in seq[0:len(n)-len(seq)]] seq.extend(compute1) compute1 = sum(i * j for i,j in zip(n,seq))...

34.5

67

0.602254

106

621

3.528302

0.339623

0.074866

0.053476

0.074866

0.42246

0.315508

0.139037

0

0.082278

0.236715

621

17

68

36.529412

0.706751

0.107891

0

1

0.071429

false

0

0.214286

0

null

0

null

0

1

0

e50e8e3032d7d7837365ea7b6780cf4d9b0c82b7

5,722

py

Python

entityfactssheetsharvester/entityfactssheetsharvester.py

zazi/entityfactssheetsharvester

150e702a763d73356adba112c0e1c1141df4884c

[ "Apache-2.0" ]

1

2019-08-13T07:44:32.000Z

entityfactssheetsharvester/entityfactssheetsharvester.py

zazi/entityfactssheetsharvester

150e702a763d73356adba112c0e1c1141df4884c

[ "Apache-2.0" ]

null

entityfactssheetsharvester/entityfactssheetsharvester.py

zazi/entityfactssheetsharvester

150e702a763d73356adba112c0e1c1141df4884c

[ "Apache-2.0" ]

1

2019-08-13T07:44:32.000Z

#!/usr/bin/python3 # -*- coding: utf-8 -*- import argparse import json import os import socket import sys import requests from threading import current_thread from rx import create, of from rx import operators as op from rx.scheduler import ThreadPoolScheduler USER_AGENT_HTTP_HEADER_KEY = 'user-agent' USER_AGENT_PAT...

41.463768

178

0.67791

677

5,722

5.420975

0.243722

0.120436

0.049046

0.045777

0.320163

0.236785

0.145504

0.118529

0.101635

0

0.009574

0.23331

5,722

137

179

41.766423

0.826989

0.009962

0

0.082474

0

0.030928

0.164959

0.022783

0

1

0.113402

false

0

0.103093

0.030928

0.329897

0.123711

0

null

0

null

0

1

0

e51032e8f05343cce31308455d21b22aca3ea53e

5,086

py

Python

pyner/util/optimizer.py

chantera/pyner

6de19713871e923c997495c07e2ec249bded8671

[ "MIT" ]

1

2019-06-16T00:52:26.000Z

pyner/util/optimizer.py

chantera/pyner

6de19713871e923c997495c07e2ec249bded8671

[ "MIT" ]

null

pyner/util/optimizer.py

chantera/pyner

6de19713871e923c997495c07e2ec249bded8671

[ "MIT" ]

null

from chainer import optimizer_hooks from chainer import optimizers from chainer import training import numpy import logging logger = logging.getLogger(__name__) def create_optimizer(configs): """ :param optimizer_config: dict, 学習のパラメータを含む辞書 """ if 'optimizer' not in configs: raise Exception...

33.682119

83

0.621707

557

5,086

5.468582

0.278276

0.09455

0.038411

0.023638

0.282994

0.200263

0.155614

0.133946

0

0.008845

0.288635

5,086

150

84

33.906667

0.833057

0.220016

0

0.215909

0

0.101453

0.009081

0

1

0.090909

false

0

0.056818

0.011364

0.204545

0

null

0

null

0

1

0

e510c7426f5e3c38449cb80f147daf9524ba1a19

4,553

py

Python

5th_pipeline.py

Jose-Oton/airflow_project

1b65a83975be63ad15cab95ad2947f6526400368

[ "Apache-2.0" ]

1

2021-07-08T12:29:34.000Z

5th_pipeline.py

Jose-Oton/airflow_project

1b65a83975be63ad15cab95ad2947f6526400368

[ "Apache-2.0" ]

null

5th_pipeline.py

Jose-Oton/airflow_project

1b65a83975be63ad15cab95ad2947f6526400368

[ "Apache-2.0" ]

null

#1. Documentación de un DAG """ ## PYSPARK DAG Este pipeline toma data de Covid compartida de forma pública por Google y calcula unos KPIs. """ from airflow import DAG from datetime import timedelta, datetime from airflow.utils.dates import days_ago from airflow.models import Variable from airflow.operat...

34.755725

123

0.656929

524

4,553

5.494275

0.385496

0.038208

0.029524

0.036124

0.234109

0.172282

0.146579

0.071553

0.027787

0

0.009461

0.233912

4,553

130

124

35.023077

0.81594

0.175928

0

0.097826

0

0.317385

0.048679

0

1

0.01087

false

0

0.119565

0

0.152174

0

null

0

null

0

1

0

e5137ca9a23bdb8d2e99e6fe8d556b4318b8b2ca

9,531

py

Python

components/fatfs/fatfsgen_utils/fs_object.py

iPlon-org/esp-idf

a5227db2a75102ca1a17860188c3c352a529a01b

[ "Apache-2.0" ]

5

2021-11-22T06:47:54.000Z

2022-01-04T06:58:43.000Z

components/fatfs/fatfsgen_utils/fs_object.py

iPlon-org/esp-idf

a5227db2a75102ca1a17860188c3c352a529a01b

[ "Apache-2.0" ]

null

components/fatfs/fatfsgen_utils/fs_object.py

iPlon-org/esp-idf

a5227db2a75102ca1a17860188c3c352a529a01b

[ "Apache-2.0" ]

2

2022-01-05T05:09:13.000Z

2022-02-09T22:32:54.000Z

# SPDX-FileCopyrightText: 2021 Espressif Systems (Shanghai) CO LTD # SPDX-License-Identifier: Apache-2.0 import os from typing import List, Optional, Tuple from .entry import Entry from .exceptions import FatalError, WriteDirectoryException from .fat import FAT, Cluster from .fatfs_state import FATFSState from .utils...

42.172566

117

0.618193

1,129

9,531

4.977857

0.159433

0.057651

0.034164

0.013523

0.281139

0.21637

0.140569

0.127046

0.112456

0

0.003474

0.305319

9,531

225

118

42.36

0.845341

0.135663

0

0.234568

0

0.013091

0.002841

0

0.001482

0

1

0.135802

false

0

0.04321

0.314815

0

null

0

null

0

1

0

e514935f4c1b7392f48ec35e4356650b174def56

6,625

py

Python

addons14/calendar_base_booking/models/bookable_mixin.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-06-10T14:59:13.000Z

addons14/calendar_base_booking/models/bookable_mixin.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

null

addons14/calendar_base_booking/models/bookable_mixin.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-04-09T09:44:44.000Z

# Copyright 2020 Akretion (http://www.akretion.com). # @author Sébastien BEAU <sebastien.beau@akretion.com> # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from collections import defaultdict from dateutil.relativedelta import relativedelta from odoo import _, fields, models from odoo.exceptions impo...

34.505208

84

0.570717

764

6,625

4.730366

0.205497

0.059768

0.032374

0.02352

0.306586

0.226065

0.144162

0.111787

0.079137

0

0.003801

0.324981

6,625

191

85

34.685864

0.804338

0.135849

0

0.180556

0

0.068724

0

1

0.111111

false

0

0.034722

0.027778

0.270833

0

null

0

null

0

1

0