xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

e6266840cb7ce270f6afeec9709e2ac1a2d1d286

1,426

py

Python

scripts/sequence/replace_selenocystein.py

mahajrod/MAVR

4db74dff7376a2ffe4426db720b241de9198f329

[ "MIT" ]

10

2015-04-28T14:15:04.000Z

2021-03-15T00:07:38.000Z

scripts/sequence/replace_selenocystein.py

mahajrod/MAVR

4db74dff7376a2ffe4426db720b241de9198f329

[ "MIT" ]

null

scripts/sequence/replace_selenocystein.py

mahajrod/MAVR

4db74dff7376a2ffe4426db720b241de9198f329

[ "MIT" ]

6

2017-03-16T22:38:41.000Z

2021-08-11T00:22:52.000Z

#!/usr/bin/env python __author__ = 'Sergei F. Kliver' import argparse import os from copy import deepcopy from Bio import SeqIO from Bio.Seq import Seq parser = argparse.ArgumentParser() parser.add_argument("-i", "--input_file", action="store", dest="input_file", help="Input file with sequences...

33.952381

125

0.691445

196

1,426

4.795918

0.377551

0.076596

0.07234

0.065957

0.13617

0

0.173212

1,426

41

126

34.780488

0.797286

0.014025

0

0.228245

0

1

0.037037

false

0

0.185185

0

0.222222

0.037037

0

null

0

null

0

1

0

e626e6e7f40b567d4b7615f9b578110b40aa795b

438

py

Python

Aulas Gustavo Guanabara/Aula018.1.py

RobertoRanulfo/Phyton

d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01

[ "MIT" ]

null

Aulas Gustavo Guanabara/Aula018.1.py

RobertoRanulfo/Phyton

d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01

[ "MIT" ]

null

Aulas Gustavo Guanabara/Aula018.1.py

RobertoRanulfo/Phyton

d7ba1aaffac2f3d78e46fc96b480b6a62d6dfe01

[ "MIT" ]

null

teste = list() teste.append('Gustavo') teste.append(40) galera = [] galera.append(teste) #neste caso estamos criando uma ligação entre as duas listas teste[0] = 'Maria' teste[1] = 22 galera.append(teste) print(teste) print(galera) # No caso os elementos não se acumularam porque não foi feita uma cópia dos elementos da ...

39.818182

112

0.730594

72

438

4.444444

0.694444

0.06875

0.10625

0

0.01676

0.182648

438

11

112

39.818182

0.877095

0.568493

0

0.2

0

0.064171

0

1

0

false

0

0.2

0

null

0

null

0

1

0

e628182131b1688593a8c2682f0d77aa16ecd697

1,287

py

Python

camcommander/watcher.py

tparker-usgs/camcommander

0e508a1b24cc99496745652e52118000470d7e32

[ "CC0-1.0" ]

null

camcommander/watcher.py

tparker-usgs/camcommander

0e508a1b24cc99496745652e52118000470d7e32

[ "CC0-1.0" ]

null

camcommander/watcher.py

tparker-usgs/camcommander

0e508a1b24cc99496745652e52118000470d7e32

[ "CC0-1.0" ]

null

#!/usr/bin/env python3 # # I waive copyright and related rights in the this work worldwide # through the CC0 1.0 Universal public domain dedication. # https://creativecommons.org/publicdomain/zero/1.0/legalcode # # Author(s): # Tom Parker <tparker@usgs.gov> """ watch for new webcam images.""" import zmq import to...

26.8125

79

0.655012

164

1,287

5.054878

0.554878

0.062726

0.068758

0

0.006012

0.224553

1,287

47

80

27.382979

0.824649

0.212121

0

0.076923

0

0.113

0

1

0.153846

false

0.038462

0.076923

0

0.346154

0

null

0

null

0

1

0

e629f1eb273463da4f3c8be6f4e44ca1b639ae9f

1,866

py

Python

Filter/kalman_filter.py

KNakane/filter

43ece9771003b63b477499dab2eb8d69e5bfdabe

[ "MIT" ]

null

Filter/kalman_filter.py

KNakane/filter

43ece9771003b63b477499dab2eb8d69e5bfdabe

[ "MIT" ]

null

Filter/kalman_filter.py

KNakane/filter

43ece9771003b63b477499dab2eb8d69e5bfdabe

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt from tqdm import tqdm class KalmanFilter(): def __init__(self, data, dim=1): self.data = data.values self.timelength = len(self.data) # 潜在変数 self.x = np.zeros((self.timelength+1, dim)) self.x_filter = np.zeros((self.timelen...

33.927273

113

0.559486

293

1,866

3.491468

0.259386

0.02737

0.064516

0.086022

0.408602

0.343109

0.27175

0.043011

0

0.030325

0.275456

1,866

54

114

34.555556

0.726331

0.096999

0

0.058824

0

0.024492

0

1

0.088235

false

0

0.088235

0

0.264706

0

null

0

null

0

1

0

e62b0481e9ee04d621f3915eddb5dfd2397e270a

4,394

py

Python

mwarp1d/ui/figures/artists/draggable_points.py

0todd0000/mwarp1d

7b40a47e6c112a8da5a1b67aff890fc77fe83d71

[ "MIT" ]

null

mwarp1d/ui/figures/artists/draggable_points.py

0todd0000/mwarp1d

7b40a47e6c112a8da5a1b67aff890fc77fe83d71

[ "MIT" ]

6

2019-11-25T08:15:05.000Z

2020-02-07T13:05:59.000Z

mwarp1d/ui/figures/artists/draggable_points.py

0todd0000/mwarp1d

7b40a47e6c112a8da5a1b67aff890fc77fe83d71

[ "MIT" ]

2

2019-11-28T02:58:14.000Z

2019-12-18T11:45:33.000Z

from PyQt5 import QtWidgets, QtCore from math import floor import numpy as np from . _base import _SelectableArtist2D class _DraggablePoints(_SelectableArtist2D): dragged = QtCore.pyqtSignal(object, int, int, float) dragging_stopped = QtCore.pyqtSignal() point_added = QtCore.pyqtSigna...

24.824859

134

0.649067

671

4,394

4.081967

0.178838

0.029208

0.023366

0.028478

0.263235

0.224535

0.173421

0.138372

0.125228

0.115371

0

0.021108

0.223714

4,394

176

135

24.965909

0.781882

0.030269

0

0.191667

0

0.010353

0

1

0.166667

false

0

0.033333

0.441667

0

null

0

null

0

1

0

e62bee983944925691e81c42d718cf0680c6b087

7,370

py

Python

convert/tartan_air_to_benchmark.py

AaltoML/vio_benchmark

cb2277026f824f88f3bc131057ebc687cb19d648

[ "Apache-2.0" ]

32

2021-04-23T15:07:04.000Z

2022-03-30T08:04:28.000Z

convert/tartan_air_to_benchmark.py

AaltoML/vio_benchmark

cb2277026f824f88f3bc131057ebc687cb19d648

[ "Apache-2.0" ]

3

2021-02-10T18:54:06.000Z

2022-03-12T16:58:19.000Z

convert/tartan_air_to_benchmark.py

AaltoML/vio_benchmark

cb2277026f824f88f3bc131057ebc687cb19d648

[ "Apache-2.0" ]

4

2021-02-08T11:11:09.000Z

2022-03-15T12:45:05.000Z

#!/usr/bin/env python # # Download and convert TartanAir data <https://theairlab.org/tartanair-dataset/>. # # NOTE The whole dataset is several terabytes, so be sure to tune the `LEVELS` and # `DATASETS` variables before running. # # It is recommended to install "AzCopy", an official tool for Azure, to get tolerable # ...

31.767241

142

0.53867

874

7,370

4.5

0.37643

0.008645

0.007628

0.006102

0.128909

0.116196

0.067379

0.06687

0.006102

0

0.023571

0.309227

7,370

231

143

31.904762

0.748969

0.183039

0

0.091429

0

0.178935

0.019529

0

1

0.04

false

0

0.045714

0.005714

0.097143

0.011429

0

null

0

null

0

1

0

e630f7f1230425fb80852a1c185d9c2e86b9dabb

4,985

py

Python

midas2/common/bowtie2.py

czbiohub/microbiome-igg

fd4bc62bee15e53587a947ca32bf3c5b9e8022e6

[ "MIT" ]

null

midas2/common/bowtie2.py

czbiohub/microbiome-igg

fd4bc62bee15e53587a947ca32bf3c5b9e8022e6

[ "MIT" ]

6

2022-03-14T19:37:52.000Z

2022-03-14T19:51:47.000Z

midas2/common/bowtie2.py

czbiohub/microbiome-igg

fd4bc62bee15e53587a947ca32bf3c5b9e8022e6

[ "MIT" ]

null

#!/usr/bin/env python3 import os import numpy as np from midas2.common.utils import tsprint, command, split, OutputStream def bowtie2_index_exists(bt2_db_dir, bt2_db_name): bt2_db_suffixes = ["1.bt2", "2.bt2", "3.bt2", "4.bt2", "rev.1.bt2", "rev.2.bt2"] if all(os.path.exists(f"{bt2_db_dir}/{bt2_db_name}.{ext}...

38.643411

154

0.649549

760

4,985

4.030263

0.217105

0.07509

0.047013

0.053869

0.307868

0.265426

0.237023

0.179563

0.166503

0.109696

0

0.029184

0.22327

4,985

128

155

38.945313

0.76188

0.082648

0

0.282609

0

0.021739

0.324752

0.080088

0

1

0.065217

false

0

0.032609

0

0.23913

0.119565

0

null

0

null

0

1

0

e6314fc5be266fa2fd430fad718dac793df709ff

3,541

py

Python

src/race/src/my_lane_detection/findpoint.py

young43/ISCC_2020

2a7187410bceca901bd87b753a91fd35b73ca036

[ "MIT" ]

3

2020-11-13T04:59:27.000Z

2021-04-02T06:36:03.000Z

src/race/src/my_lane_detection/findpoint.py

yongbeomkwak/ISCC_2021

7e7e5a8a14b9ed88e1cfbe2ee585fe24e4701015

[ "MIT" ]

null

src/race/src/my_lane_detection/findpoint.py

yongbeomkwak/ISCC_2021

7e7e5a8a14b9ed88e1cfbe2ee585fe24e4701015

[ "MIT" ]

5

2020-09-13T09:06:16.000Z

2021-06-19T02:31:23.000Z

import numpy as np import cv2 class FindPoint: def __init__(self,img): self.window_height = 10 self.nwindows = 15 self.margin = 20 self.minpix = 70 self.center = img.shape[1]/2 def findpoint(self, img): out_img = np.dstack((img, img, img)) h, w = img.sha...

40.238636

119

0.475572

465

3,541

3.335484

0.148387

0.045132

0.054159

0.069633

0.702772

0.598324

0.578981

0.509349

0.469375

0

0.076526

0.398475

3,541

87

120

40.701149

0.651643

0.022592

0

0.444444

0

0.001447

0

1

0.027778

false

0

0.027778

0

0.083333

0.013889

0

null

0

null

0

1

0

e6315a99e2517f5c7110b8dd1b8d7574b184b340

6,198

py

Python

backend/ibutsu_server/tasks/db.py

john-dupuy/ibutsu-server

ae380fc7a72a4898075291bac8fdb86952bfd06a

[ "MIT" ]

null

backend/ibutsu_server/tasks/db.py

john-dupuy/ibutsu-server

ae380fc7a72a4898075291bac8fdb86952bfd06a

[ "MIT" ]

null

backend/ibutsu_server/tasks/db.py

john-dupuy/ibutsu-server

ae380fc7a72a4898075291bac8fdb86952bfd06a

[ "MIT" ]

null

import time from datetime import datetime from datetime import timedelta from bson import ObjectId from bson.errors import InvalidId from dynaconf import settings from ibutsu_server.mongo import mongo from ibutsu_server.tasks.queues import task from ibutsu_server.tasks.results import add_result_start_time from ibutsu_...

35.016949

99

0.62262

805

6,198

4.637267

0.21118

0.019287

0.012858

0.013394

0.361907

0.325475

0.302706

0.290383

0.266274

0.230378

0

0.007606

0.2788

6,198

176

100

35.215909

0.827517

0.203453

0

0.385246

0

0.085001

0.016092

0

1

0.057377

false

0.04918

0.122951

0

0.229508

0

null

0

null

0

1

0

e6338656305747e7dd588f6558bdad231c542786

830

py

Python

Estudos/namedtuple.py

Gbrvi/Python

02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab

[ "MIT" ]

null

Estudos/namedtuple.py

Gbrvi/Python

02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab

[ "MIT" ]

null

Estudos/namedtuple.py

Gbrvi/Python

02f0125c990f06ccb5cd705b4bf6ec5ecb6d1eab

[ "MIT" ]

null

from collections import namedtuple # É tipo um dicionario, é mais lento, mas é imutável! #Jogador é a classe | #Atributos da classe J = namedtuple('Jogador', ['nome', 'time', 'camisa', 'numero']) j = J('Abel Hernadez', 'Flu', 99, 100) #Adicionando valores j2 = J('Fred', 'Fluminense', 9, 157) ...

31.923077

91

0.591566

110

830

4.454545

0.663636

0.016327

0

0.025335

0.191566

830

26

92

31.923077

0.704918

0.477108

0

0.239402

0

1

0

false

0

0.1

0

0.1

0.2

0

null

0

null

0

1

0

e6342f9f6fc2f8be229cda6971a2b29ca77c7c7c

1,330

py

Python

src/decker/format/command.py

douglasfarinelli/pydev

9d43d485b102e5b44ee28894278ae496c3cec024

[ "MIT" ]

21

2020-12-11T17:59:50.000Z

2022-03-12T02:22:09.000Z

src/decker/format/command.py

douglasfarinelli/decker

9d43d485b102e5b44ee28894278ae496c3cec024

[ "MIT" ]

null

src/decker/format/command.py

douglasfarinelli/decker

9d43d485b102e5b44ee28894278ae496c3cec024

[ "MIT" ]

2

2021-07-31T00:05:25.000Z

2021-11-04T12:09:26.000Z

import sys from typing import List import click from decker.conf import Config from decker.utils import print_done from .pool import FormatterBackendPool from .services import run_format @click.option( '-b', '--backend', type=click.Choice([backend.id for backend in FormatterBackendPool.all()]), mul...

19

80

0.635338

162

1,330

5.12963

0.506173

0.048135

0

0.003972

0.242857

1,330

69

81

19.275362

0.821251

0.016541

0

0.051724

0

0.140867

0

1

0.017241

false

0.017241

0.12069

0

0.137931

0.034483

0

null

0

null

0

1

0

e63506be46724ae2661303db422a81cac16e9cfd

709

py

Python

seeds.py

hazzillrodriguez/Flaskdesk

16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5

[ "MIT" ]

null

seeds.py

hazzillrodriguez/Flaskdesk

16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5

[ "MIT" ]

null

seeds.py

hazzillrodriguez/Flaskdesk

16123f4d63c686a3332f3f91eda9bb3a8e2a3ed5

[ "MIT" ]

null

from app import app, db from app.models import Category, Priority, Status from sqlalchemy.exc import SQLAlchemyError category = 'Uncategorized' priorities = ['Low', 'Medium', 'High', 'Urgent'] statuses = ['Open', 'Resolved', 'Pending', 'Closed'] def db_commit(): try: db.session.commit() print('Category, prioriti...

28.36

63

0.734838

90

709

5.755556

0.488889

0.086873

0.069498

0

0.132581

709

25

64

28.36

0.842276

0

0.090909

0

0.153521

0

1

0.045455

false

0

0.136364

0

0.272727

0.090909

0

null

0

null

0

1

0

e63871f321b5d3bb45b965cb63b221c456ac757e

2,527

py

Python

eval/plot.py

yhlleo/TriangleGAN

5bab76561e75145c2645a93e23d22abd3f66f329

[ "BSD-3-Clause" ]

32

2019-07-15T11:11:57.000Z

2022-01-09T11:03:00.000Z

eval/plot.py

yhlleo/TriangleGAN

5bab76561e75145c2645a93e23d22abd3f66f329

[ "BSD-3-Clause" ]

null

eval/plot.py

yhlleo/TriangleGAN

5bab76561e75145c2645a93e23d22abd3f66f329

[ "BSD-3-Clause" ]

4

2019-07-17T09:00:14.000Z

2021-11-16T21:20:25.000Z

# plot prd scores import os import json from matplotlib import pyplot as plt import argparse parser = argparse.ArgumentParser() parser.add_argument("json_files", nargs="*") parser.add_argument("--output_fig", type=str, default='prd.png') args = parser.parse_args() def load_jsons(file_paths): scores, labels = [], []...

37.716418

79

0.693708

385

2,527

4.402597

0.358442

0.097345

0.106195

0.040118

0.128024

0.037758

0

0.013386

0.20182

2,527

67

80

37.716418

0.826971

0.324891

0

0.107057

0.013158

0

1

0.047619

false

0

0.095238

0

0.166667

0

null

0

null

0

1

0

e63ab07fc8212736ff3ef91cca7ad9e31b8c2243

2,218

py

Python

data_output.py

adebraine/Time-Series-RNN

2e5ef0a222d84e15ed09141724fa437492c1466e

[ "MIT" ]

null

data_output.py

adebraine/Time-Series-RNN

2e5ef0a222d84e15ed09141724fa437492c1466e

[ "MIT" ]

null

data_output.py

adebraine/Time-Series-RNN

2e5ef0a222d84e15ed09141724fa437492c1466e

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt import keras def evaluate_model(model, split_sets): training_error = model.evaluate(split_sets['X_train'], split_sets['y_train'], verbose=0) print('training error = ' + str(training_error)) testing_error = model.evaluate(split_sets['X_test'], split_sets[...

35.206349

92

0.595131

274

2,218

4.671533

0.248175

0.070313

0.0625

0.078125

0.691406

0.633594

0.538281

0

0.009877

0.269612

2,218

62

93

35.774194

0.780247

0.098287

0

0.512821

0

0.126131

0

1

0.051282

false

0

0.076923

0

0.128205

0.051282

0

null

0

null

0

1

0

e63b0d4192a6f56afdb4ff053aeafe21f3a6cf89

1,837

py

Python

vector_auto_regression.py

hotpxl/nebuchadnezzar

b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409

[ "MIT" ]

2

2015-05-20T18:02:40.000Z

2016-08-07T18:57:27.000Z

vector_auto_regression.py

hotpxl/nebuchadnezzar

b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409

[ "MIT" ]

null

vector_auto_regression.py

hotpxl/nebuchadnezzar

b26e0f19b9fdfeb8baa094e0f5ee2526cefb6409

[ "MIT" ]

null

#!/usr/bin/env python3.4 import stats.data import stats.plot import stats.preprocess import pandas import numpy as np import matplotlib.pyplot as plt import matplotlib.dates import datetime from statsmodels.tsa.api import VAR, DynamicVAR sse_indices = stats.data.sse_indices() for i in sse_indices: d = stats.data.g...

37.489796

132

0.625476

253

1,837

4.462451

0.438735

0.044287

0.03543

0.044287

0

0.014503

0.211758

1,837

48

133

38.270833

0.765193

0.140991

0

0.054777

0

1

0

false

0

0.243243

0

0.243243

0.027027

0

null

0

null

0

1

0

e63cd901a3e8b73ecbb160ecf9c349073434a2bf

2,086

py

Python

ArticleClassifierTF/src/data_models/weights/theme_weights.py

joduss/ArticleClassifier

38c0e168cdd74214b7f591c7cfc7b93fc496e46b

[ "Unlicense" ]

null

ArticleClassifierTF/src/data_models/weights/theme_weights.py

joduss/ArticleClassifier

38c0e168cdd74214b7f591c7cfc7b93fc496e46b

[ "Unlicense" ]

null

ArticleClassifierTF/src/data_models/weights/theme_weights.py

joduss/ArticleClassifier

38c0e168cdd74214b7f591c7cfc7b93fc496e46b

[ "Unlicense" ]

null

from typing import Dict, List from classifier.preprocessing.article_theme_tokenizer import ArticleThemeTokenizer from data_models.ThemeStat import ThemeStat class ThemeWeights: theme_stats: List[ThemeStat] theme_tokenizer: ArticleThemeTokenizer def __init__(self, theme_stats: List[ThemeStat], theme_tok...

32.59375

93

0.650527

264

2,086

4.912879

0.242424

0.069391

0.053971

0.037008

0.311488

0.277564

0.188126

0

0.01025

0.251678

2,086

64

94

32.59375

0.820628

0.109779

0

0.121212

0

0.027192

0

1

0.121212

false

0

0.090909

0

0.393939

0

null

0

null

0

1

0

e63cf8d084bbaa33179f664b68770d2a61c1830b

2,688

py

Python

installation_text.py

bryanrtboy/videoselector

6867c14ebb3f9ac563a2aa5533806ec4872a53e9

[ "MIT" ]

1

2017-12-10T12:42:09.000Z

installation_text.py

bryanrtboy/videoselector

6867c14ebb3f9ac563a2aa5533806ec4872a53e9

[ "MIT" ]

null

installation_text.py

bryanrtboy/videoselector

6867c14ebb3f9ac563a2aa5533806ec4872a53e9

[ "MIT" ]

null

#!/usr/bin/python from pssh import SSHClient, ParallelSSHClient, utils import datetime import time import random import sys output = [] hosts = ['client0', 'client1', 'client2','client3', 'client4'] client = ParallelSSHClient(hosts) values = ["bear","cake","fork","pipe","gun"] def open_movies(my_values, delay): c...

29.217391

111

0.679315

394

2,688

4.525381

0.393401

0.028043

0.042625

0.033651

0.171621

0.040381

0

0.008178

0.181176

2,688

91

112

29.538462

0.801908

0.124256

0

0.188406

0

0.014493

0.247656

0.04902

0

1

0.057971

false

0

0.072464

0

0.144928

0.130435

0

null

0

null

0

1

0

e63d83d29b28004d4dc6e59ec720b1e34cdc3bc7

3,744

py

Python

poi/cache.py

jchluo/poi

6892d3e219ee2b841053a41d308887a5e6b60017

[ "Apache-2.0" ]

10

2016-01-11T09:24:38.000Z

2021-07-20T06:40:15.000Z

poi/cache.py

jchluo/poi

6892d3e219ee2b841053a41d308887a5e6b60017

[ "Apache-2.0" ]

1

2018-04-10T04:48:18.000Z

poi/cache.py

jchluo/poi

6892d3e219ee2b841053a41d308887a5e6b60017

[ "Apache-2.0" ]

8

2016-01-11T09:24:56.000Z

2020-04-23T08:25:53.000Z

# -*- coding: utf-8 -*- """Cache Recommender. dump : run topN predict item for each user, and dump them to file like object(disk file or memory). load : recover from file like object, return CacheRecommender. Note that this recommender just a tiny version of the original one, which can...

27.328467

75

0.576656

501

3,744

4.175649

0.311377

0.01912

0.020076

0.015296

0.068834

0.043021

0

0.013248

0.294338

3,744

136

76

27.529412

0.778577

0.344017

0

0.060606

0

0.075288

0

1

0.106061

false

0

0.090909

0.030303

0.287879

0.030303

0

null

0

null

0

1

0

e63da7efdb0e189e1a9e15a53af922678e7b6e0e

2,335

py

Python

p2p/protocol.py

teotoplak/trinity

6c67b5debfb94f74d0162c70f92ae3d13918b174

[ "MIT" ]

null

p2p/protocol.py

teotoplak/trinity

6c67b5debfb94f74d0162c70f92ae3d13918b174

[ "MIT" ]

null

p2p/protocol.py

teotoplak/trinity

6c67b5debfb94f74d0162c70f92ae3d13918b174

[ "MIT" ]

null

import logging from typing import ( Any, Sequence, Tuple, Type, ) from eth_utils.toolz import accumulate from p2p.abc import ( CommandAPI, ProtocolAPI, TransportAPI, ) from p2p.constants import P2P_PROTOCOL_COMMAND_LENGTH from p2p.typing import Capability class BaseProtocol(ProtocolAPI):...

31.986301

93

0.677088

289

2,335

5.207612

0.304498

0.083721

0.043189

0.047841

0.075083

0.037209

0

0.00564

0.240685

2,335

72

94

32.430556

0.843204

0.151606

0

0.037736

0

0.014849

0.010753

0

1

0.132075

false

0

0.113208

0.075472

0.377358

0

null

0

null

0

1

0

e63f1e8cde7eb9bc19101fd61c76b84d56a931e5

6,314

py

Python

soocii_services_lib/tokens.py

jonascheng/services-lib

5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc

[ "Apache-2.0" ]

null

soocii_services_lib/tokens.py

jonascheng/services-lib

5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc

[ "Apache-2.0" ]

5

2017-11-23T08:24:09.000Z

2018-12-25T04:42:48.000Z

soocii_services_lib/tokens.py

jonascheng/services-lib

5345be2ddeab8bbdbeccbc2bcbecf3202163d0bc

[ "Apache-2.0" ]

3

2017-06-28T07:54:40.000Z

2018-12-25T04:44:42.000Z

import binascii import json import time import jsonschema from .crypter import AESCipher from .exceptions import AccessTokenValidationError, RefreshTokenValidationError, TokenExpiredError, TokenSchemaError class BaseToken(dict): _schema = {} def is_valid(self, age=None, raise_exception=False): try...

28.062222

116

0.464365

531

6,314

5.354049

0.246704

0.028139

0.035174

0.025325

0.125572

0.079142

0.044319

0

0.005472

0.421128

6,314

224

117

28.1875

0.772367

0.02835

0

0.20904

0

0.119763

0.007229

0

1

0.067797

false

0

0.033898

0.016949

0.282486

0

null

0

null

0

1

0

e648ade42231ae7382e8ffb8232ee7fd02bab1ce

6,060

py

Python

software/camera-imu/tools/imu_driver_alt.py

MomsFriendlyRobotCompany/mjolnir

76f53e8e650ba1051b5f14e94ff2a9a283158da4

[ "MIT" ]

1

2020-08-17T04:36:14.000Z

software/camera-imu/tools/imu_driver_alt.py

MomsFriendlyRobotCompany/mjolnir

76f53e8e650ba1051b5f14e94ff2a9a283158da4

[ "MIT" ]

null

software/camera-imu/tools/imu_driver_alt.py

MomsFriendlyRobotCompany/mjolnir

76f53e8e650ba1051b5f14e94ff2a9a283158da4

[ "MIT" ]

1

2021-04-06T08:26:03.000Z

from serial import Serial import struct from math import log10, sin, cos, acos, atan2, asin, pi, sqrt import time from collections import namedtuple from colorama import Fore # agmpt_t = namedtuple("agmpt_t", "accel gyro mag pressure temperature timestamp") # ImageIMU = namedtuple("ImageIMU","image accel gyro tempera...

25.897436

87

0.518317

724

6,060

4.308011

0.290055

0.019237

0.034626

0.028855

0.126643

0.110292

0.073421

0.030779

0

0.039786

0.35297

6,060

233

88

26.008584

0.755675

0.179703

0

0.184932

0

0.067708

0.010208

0

0.005

0

1

0.082192

false

0

0.041096

0.020548

0.39726

0.041096

0

null

0

null

0

1

0

e64b61756e2c5141a88d05ce00a52ea06f0af2cf

1,718

py

Python

main.py

hwangseonu/pokeka

39e56c59dfc85a0c73232ac9105766ef060aa90e

[ "MIT" ]

1

2021-06-01T05:26:48.000Z

main.py

hwangseonu/pokeka

39e56c59dfc85a0c73232ac9105766ef060aa90e

[ "MIT" ]

null

main.py

hwangseonu/pokeka

39e56c59dfc85a0c73232ac9105766ef060aa90e

[ "MIT" ]

null

import base64 import svgwrite import svgwrite.container import svgwrite.shapes import svgwrite.image import bs4 import os from urllib.request import urlopen from selenium import webdriver index = 0 code = input('덱 코드를 입력하세요.> ') os.mkdir(code) url = 'https://pokemoncard.co.kr/recipe/search?code=' + code driver = we...

24.542857

81

0.610594

251

1,718

4.103586

0.422311

0.046602

0.032039

0.021359

0

0.044106

0.234575

1,718

69

82

24.898551

0.739164

0

0.115832

0.026775

0

1

0

false

0

0.173077

0

0.173077

0

null

0

null

0

1

0

e64d3c1360f948a0e4e91a1e5bc77802db0ff7e0

2,148

py

Python

synthesis/paramGen/testcase2.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

176

2020-06-11T19:16:33.000Z

2022-03-29T01:38:28.000Z

synthesis/paramGen/testcase2.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

6

2020-06-26T05:26:56.000Z

2021-11-10T07:31:21.000Z

synthesis/paramGen/testcase2.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

23

2020-06-11T21:43:03.000Z

2022-02-18T00:16:16.000Z

''' 2019-08-07 00:01 Method: 20 x 5 grid over (camera x lighting) ''' VIEW_NUM, LIGHTING_NUM = 20, 5 import os, sys sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from src.param_decomposer import AllParams def generate_params(shape_list, randomizer): nowpath = os.path.dirname(os.path...

39.777778

103

0.640596

272

2,148

4.8125

0.297794

0.045837

0.039725

0.034377

0.132162

0.122231

0.076394

0

0.023183

0.256983

2,148

53

104

40.528302

0.796992

0.107542

0

0.025237

0

1

0.026316

false

0

0.078947

0

0.131579

0.026316

0

null

0

null

0

1

0

e64ec15e4f7b983862625b28f909feef4c9e7bb4

3,894

py

Python

pygacal/camera/__init__.py

ereide/pyga-camcal

fd25748ddb11c5b05ef24a2deca2689e0d899875

[ "MIT" ]

5

2018-05-22T09:11:31.000Z

2022-03-11T02:32:01.000Z

pygacal/camera/__init__.py

ereide/pyga-camcal

fd25748ddb11c5b05ef24a2deca2689e0d899875

[ "MIT" ]

null

pygacal/camera/__init__.py

ereide/pyga-camcal

fd25748ddb11c5b05ef24a2deca2689e0d899875

[ "MIT" ]

null

from clifford import g3c import numpy as np import scipy.optimize as opt from pygacal.rotation.costfunction import restrictedImageCostFunction, restrictedMultiViewImageCostFunction from pygacal.rotation import minimizeError from pygacal.rotation.mapping import BivectorLineImageMapping, BivectorLineMapping, LineProper...

34.460177

159

0.612994

511

3,894

4.455969

0.223092

0.059289

0.068511

0.024594

0.164251

0.151076

0.110672

0.083443

0.059728

0

0.013432

0.273498

3,894

112

160

34.767857

0.791446

0.004623

0

0.103896

0

0.03125

0

0.025974

1

0.090909

false

0

0.090909

0

0.233766

0.090909

0

null

0

null

0

1

0

e6543ff7671521504ac838b1689dbe9bfbccaca2

4,704

py

Python

sprout/runner.py

tjduigna/sprout

d8762ce7e6f04bb082b8ca1e65f73d8900338d9d

[ "Apache-2.0" ]

null

sprout/runner.py

tjduigna/sprout

d8762ce7e6f04bb082b8ca1e65f73d8900338d9d

[ "Apache-2.0" ]

null

sprout/runner.py

tjduigna/sprout

d8762ce7e6f04bb082b8ca1e65f73d8900338d9d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2019, Sprout Development Team # Distributed under the terms of the Apache License 2.0 import os import asyncio import asyncpg from tortoise import Tortoise import sprout class Runner(sprout.Log): """An object-oriented interface to the sprout utilities. Args: ...

32.895105

67

0.577594

612

4,704

4.326797

0.214052

0.055514

0.018882

0.018127

0.305891

0.200151

0.174094

0.138218

0.058912

0

0.002135

0.302934

4,704

142

68

33.126761

0.805428

0.104379

0

0.179245

0

0.118074

0.032906

0

1

0.075472

false

0.028302

0.04717

0

0.226415

0

null

0

null

0

1

0

e654e957c98bffeffb8209db916fbae89bbb1792

2,726

py

Python

sangam_poem_csv.py

naturalstupid/sangam_tamil_bot

2b8117504f10ce4b4bdc2fa8160951374c9d1516

[ "MIT" ]

null

sangam_poem_csv.py

naturalstupid/sangam_tamil_bot

2b8117504f10ce4b4bdc2fa8160951374c9d1516

[ "MIT" ]

null

sangam_poem_csv.py

naturalstupid/sangam_tamil_bot

2b8117504f10ce4b4bdc2fa8160951374c9d1516

[ "MIT" ]

null

import string import regex import pandas as pd from pandas.tests.io.parser import index_col sangam_text_folder = "./sangam_tamil_text/" sangam_poem_folder = "./sangam_tamil_poems/" sangam_csv_folder = "./sangam_tamil_csv/" data_files = ['agananuru','purananuru','ainkurunuru','kalithokai', 'kurunthokai', 'natrinai', 'p...

69.897436

128

0.655906

527

2,726

3.548387

0.275142

0.041711

0.01123

0.038503

0.228342

0.163636

0.122995

0.078075

0.06738

0

0.001676

0.124725

2,726

39

129

69.897436

0.724644

0.015407

0

0.454139

0.017151

0

1

0

false

0

0.102564

0

0.102564

0.076923

0

null

0

null

0

1

0

e65bcafb9495c37c2cdeefdfa42cd99132b78632

6,256

py

Python

flask_opa.py

hirosh7/flask-opa

a090083ce62944d1085a6923572ed9c68f0dbfa3

[ "MIT" ]

34

2018-10-16T03:12:44.000Z

2022-02-21T09:53:13.000Z

flask_opa.py

hirosh7/flask-opa

a090083ce62944d1085a6923572ed9c68f0dbfa3

[ "MIT" ]

12

2018-10-17T00:41:27.000Z

2021-03-16T12:58:33.000Z

flask_opa.py

hirosh7/flask-opa

a090083ce62944d1085a6923572ed9c68f0dbfa3

[ "MIT" ]

8

2019-05-28T19:54:41.000Z

2022-02-23T13:19:33.000Z

""" Flask Extension for OPA """ import requests from flask.app import Flask __version__ = "1.0.0" class OPAException(Exception): """Exception evaluating a request in OPA""" def __init__(self, message): super().__init__(message) class OPAUnexpectedException(OPAException): """Unexpected error ev...

30.076923

78

0.605499

733

6,256

4.845839

0.155525

0.073198

0.030405

0.043919

0.323198

0.273086

0.221284

0.159628

0.134291

0.109797

0

0.002516

0.301151

6,256

207

79

30.222222

0.809927

0.038203

0

0.237179

0

0.040676

0

1

0.185897

false

0

0.012821

0.076923

0.352564

0

null

0

null

0

1

0

e65e9051029543698ac667d8972b05b6ac01763f

8,920

py

Python

model.py

Schrodinger1926/Project-3

88f8a1411a712a8ba62036e400ebce9e6df8e40f

[ "MIT" ]

null

model.py

Schrodinger1926/Project-3

88f8a1411a712a8ba62036e400ebce9e6df8e40f

[ "MIT" ]

null

model.py

Schrodinger1926/Project-3

88f8a1411a712a8ba62036e400ebce9e6df8e40f

[ "MIT" ]

null

import sys import os import csv from random import shuffle import cv2 import numpy as np import matplotlib.pyplot as plt import sklearn from sklearn.model_selection import train_test_split from keras.models import Sequential from keras.layers import Flatten,\ Dense,\ ...

27.875

118

0.638453

1,143

8,920

4.877515

0.246719

0.060269

0.034978

0.034439

0.456682

0.379193

0.33435

0.322152

0.3087

0.255247

0

0.028661

0.245067

8,920

319

119

27.962382

0.799228

0.33509

0

0.262774

0

0.059085

0.004627

0

1

0.043796

false

0

0.080292

0

0.175182

0.021898

0

null

0

null

0

1

0

e65f8dcc762ad6c2b71e1c9a7964a20b18c50603

3,807

py

Python

enlarge_form/enlarge_form.py

lester-lees/extra_addons_sz

cddaf972cf4ea64c553bcff0006eb006a115d5ee

[ "Apache-2.0" ]

null

enlarge_form/enlarge_form.py

lester-lees/extra_addons_sz

cddaf972cf4ea64c553bcff0006eb006a115d5ee

[ "Apache-2.0" ]

null

enlarge_form/enlarge_form.py

lester-lees/extra_addons_sz

cddaf972cf4ea64c553bcff0006eb006a115d5ee

[ "Apache-2.0" ]

null

#! -*- encoding: utf-8 -*- from openerp import addons from openerp.osv import fields, osv, orm from openerp import tools from openerp.tools.translate import _ class ir_ui_view(orm.Model): _inherit = 'ir.ui.view' _columns={ 'enlarge_form' : fields.boolean('Use full width of the screen?' ,help='Set to...

34.297297

186

0.504334

412

3,807

4.495146

0.291262

0.035097

0.025918

0.024298

0.273218

0.215983

0.191145

0.154428

0.113391

0

0.002118

0.379827

3,807

110

187

34.609091

0.782296

0.115314

0

0.205882

0

0.029412

0.152083

0.029167

0

1

0.058824

false

0

0.058824

0

0.235294

0

null

0

null

0

1

0

e666c5e9e0189a92959abe01ef942dcddf54c96d

16,028

py

Python

build/build.py

lukas-ke/faint-graphics-editor

33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf

[ "Apache-2.0" ]

10

2016-12-28T22:06:31.000Z

2021-05-24T13:42:30.000Z

build/build.py

lukas-ke/faint-graphics-editor

33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf

[ "Apache-2.0" ]

4

2015-10-09T23:55:10.000Z

2020-04-04T08:09:22.000Z

build/build.py

lukas-ke/faint-graphics-editor

33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Copyright 2014 Lukas Kemmer # # 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 require...

31.12233

109

0.630334

2,057

16,028

4.633933

0.140496

0.030214

0.011016

0.019618

0.374738

0.297524

0.260596

0.222409

0.203105

0.165653

0

0.003969

0.261106

16,028

514

110

31.182879

0.800895

0.061205

0

0.292621

0

0.002545

0.126159

0.012869

0

0.001946

0

1

0.081425

false

0

0.02799

0.017812

0.170483

0.045802

0

null

0

null

0

1

0

e6671dd4f2c0b71c8a3b385713a43ac751148356

2,119

py

Python

printAlternatively.py

kamwithak/competitiveProgramming

ab4433568081900212a8a987d7bf8cb78d2698d1

[ "MIT" ]

null

printAlternatively.py

kamwithak/competitiveProgramming

ab4433568081900212a8a987d7bf8cb78d2698d1

[ "MIT" ]

1

2020-07-19T15:40:25.000Z

printAlternatively.py

kamwithak/competitiveProgramming

ab4433568081900212a8a987d7bf8cb78d2698d1

[ "MIT" ]

null

class Solution(): def __init__(self, A, B): self.A = A self.B = B def printAlternativelySameSize(self): """ Assumes that len(self.A) == len(self.B) != 0 Alternatively print each element in the two Lists """ if (len(self.A) != len(self.B)): raise Exception("the two lists must be of same ...

21.40404

77

0.547428

312

2,119

3.685897

0.208333

0.085217

0.041739

0.028696

0.578261

0.536522

0.411304

0.337391

0.264348

0

0.025367

0.293063

2,119

98

78

21.622449

0.742323

0.079755

0

0.546875

0

0.034483

0

1

0.078125

false

0

0.109375

0.234375

0

null

0

null

0

1

0

e66883315cccecf4d95a549214dcc1704e5e4e46

429

py

Python

tests/test_exp.py

SiddeshSambasivam/MatterIx

e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139

[ "MIT" ]

9

2020-07-25T12:00:30.000Z

2021-07-07T09:30:57.000Z

tests/test_exp.py

SiddeshSambasivam/MatterIx

e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139

[ "MIT" ]

null

tests/test_exp.py

SiddeshSambasivam/MatterIx

e9d3bc54c4f5793cc1262c89c7cb9d5a9dd99139

[ "MIT" ]

null

import unittest from matterix import Tensor import numpy as np class TestTensorExponents(unittest.TestCase): def test_simple_exp(self): an = np.random.randint(0, 10, (10, 10)) at = Tensor(an, requires_grad=True) result = at * at result.backward(gradient=Tensor.ones_like(result)) ...

25.235294

58

0.638695

57

429

4.736842

0.578947

0.02963

0

0.030303

0.230769

429

16

59

26.8125

0.787879

0

0.181818

1

0.090909

false

0

0.272727

0

0.454545

0

null

0

null

0

1

0

e6692d7fe75e939ec528720c041175b24637e974

1,722

py

Python

src/tests/test_task_2_4.py

Python-course/Python-course

59de0ef9928aeaa5dd185ceaafa334eb8e719217

[ "MIT" ]

null

src/tests/test_task_2_4.py

Python-course/Python-course

59de0ef9928aeaa5dd185ceaafa334eb8e719217

[ "MIT" ]

null

src/tests/test_task_2_4.py

Python-course/Python-course

59de0ef9928aeaa5dd185ceaafa334eb8e719217

[ "MIT" ]

null

""" Тесты для задания 2.4. """ from unittest import TestCase, main from fractions import Fraction from tasks import task_2_4 class TestFractionFromString(TestCase): def test_fraction_from_string__CorrectArguments__ShouldReturnCorrectResult(self): """ Проверяет работу с корректными данными. ...

28.7

103

0.577236

190

1,722

5.005263

0.3

0.016824

0.025237

0.0347

0.466877

0.395373

0.359621

0.304942

0

0.052245

0.288618

1,722

59

104

29.186441

0.724082

0.097561

0

0.0625

0

0.081923

0.022343

0

0.09375

1

0.09375

false

0

0.09375

0

0.25

0

null

0

null

0

1

0

e6693d31028174fac6a03f7991d1cc9f5830e4f5

1,007

py

Python

aioweb_auth/helpers.py

kreopt/aioweb_auth

e6a982296b52fc2068dd09afb0827dab527ef9b7

[ "MIT" ]

null

aioweb_auth/helpers.py

kreopt/aioweb_auth

e6a982296b52fc2068dd09afb0827dab527ef9b7

[ "MIT" ]

null

aioweb_auth/helpers.py

kreopt/aioweb_auth

e6a982296b52fc2068dd09afb0827dab527ef9b7

[ "MIT" ]

null

from aiohttp import web from aiohttp_security import authorized_userid from aioweb.conf import settings async def redirect_authenticated(request): user_id = await authorized_userid(request) if user_id and not request.is_ajax(): redirect_url = request.query.get('redirect_to') if not redirect_ur...

34.724138

70

0.725919

126

1,007

5.587302

0.380952

0.120739

0.055398

0.059659

0.076705

0

0.1857

1,007

28

71

35.964286

0.858537

0

0.090909

0

0.049652

0

1

0.045455

false

0

0.136364

0

0.318182

0

null

0

null

0

1

0

c6fd9ed01bdcac2a90cc2cff054eefd30d07deb0

3,901

py

Python

functions/aou/tests/upload_test_files.py

broadinstitute/wfl

1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2

[ "BSD-3-Clause" ]

15

2020-03-04T17:30:25.000Z

2022-03-09T14:57:26.000Z

functions/aou/tests/upload_test_files.py

broadinstitute/wfl

1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2

[ "BSD-3-Clause" ]

184

2020-03-06T20:55:15.000Z

2022-03-15T18:24:57.000Z

functions/aou/tests/upload_test_files.py

broadinstitute/wfl

1e5691100330a9afa0270fb4bab0a7d0a7d3bdc2

[ "BSD-3-Clause" ]

2

2020-07-08T19:16:26.000Z

2020-07-10T18:47:30.000Z

""" Helper script that copies all of the files for an arrays sample into the dev aou input bucket. This will trigger the submit_aou_workload cloud function for each file. When all files have been uploaded, it will launch an arrays workflow via the workflow launcher (but only if a workflow with that chipwell barcode & a...

47.573171

141

0.681364

512

3,901

4.982422

0.316406

0.070561

0.075265

0.383379

0.332811

0.288514

0.27401

0

0.046909

0.174827

3,901

81

142

48.160494

0.745573

0.10382

0

0.059701

0

0.119403

0.505734

0.348624

0

1

0.044776

false

0

0.089552

0.029851

0.164179

0

null

0

null

0

1

0

c6fe87b224a7fdc40686930d3055375689c20f4c

2,019

py

Python

warp_gui.py

maciejczechowski/CarND-Advanced-Lane-Lines

058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230

[ "MIT" ]

null

warp_gui.py

maciejczechowski/CarND-Advanced-Lane-Lines

058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230

[ "MIT" ]

null

warp_gui.py

maciejczechowski/CarND-Advanced-Lane-Lines

058a17a2ac1e0ee4c1e8fa2fc5222cb7d2eaa230

[ "MIT" ]

null

import numpy as np import cv2 from src import lane_finder as lf from src import parameters import argparse class WarpFinder: def __init__(self, image, horizon = 400, x1 = 500): self.image1 = image self._horizon = horizon self._x1 = x1 def onChangeHorizon(pos): self._ho...

25.884615

103

0.602278

245

2,019

4.82449

0.4

0.037225

0.021997

0.025381

0.07445

0

0.041812

0.289252

2,019

77

104

26.220779

0.781882

0.101535

0

0.069767

0

0.077012

0

1

0.116279

false

0

0.116279

0

0.255814

0.023256

0

null

0

null

0

1

0

05007036c73f4b4b153318ac832ce22662ff0e07

2,041

py

Python

election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py

dkupsh/stvote

dbe906681a171c5654341b93dc0fb5b0208cfd33

[ "MIT" ]

null

election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py

dkupsh/stvote

dbe906681a171c5654341b93dc0fb5b0208cfd33

[ "MIT" ]

null

election_data/uc_santa_barbara/2017/src_data/parser/ElectionBallotParser.py

dkupsh/stvote

dbe906681a171c5654341b93dc0fb5b0208cfd33

[ "MIT" ]

null

############### # Ballot Parser for UC Berkeley Results # # This ballot parser has been tailored to the ballot # system used by UCB. If you use another software # to define ballots, ensure the data returned by the # ballot parser returns data in the following fashion: # # [ # { # "ballot_id": "unique_ballot_i...

26.166667

82

0.526213

218

2,041

4.724771

0.366972

0.087379

0.100971

0.066019

0.221359

0.170874

0

0.005966

0.342969

2,041

77

83

26.506494

0.762118

0.641352

0

0.075969

0

1

0.071429

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

05018611063b1ec5bb0bc5adba5e6965095d97d4

5,971

py

Python

deco/__init__.py

patdex/deco

83141719b3b68fb1e99b43384a25288aea5c3e8c

[ "MIT" ]

null

deco/__init__.py

patdex/deco

83141719b3b68fb1e99b43384a25288aea5c3e8c

[ "MIT" ]

null

deco/__init__.py

patdex/deco

83141719b3b68fb1e99b43384a25288aea5c3e8c

[ "MIT" ]

null

import collections import inspect import time import re # module config: disable_tracing = False indent = True # indentation for log output _log_indent = dict() def indent_str(cnt, end=False): """ indent string :param cnt: indentation count :param end: close actual indentation? :return: ""...

26.420354

117

0.601574

722

5,971

4.66759

0.18144

0.023739

0.052226

0.01543

0.339763

0.225519

0.135905

0.106825

0.081899

0

0.006177

0.295093

5,971

225

118

26.537778

0.794488

0.192598

0

0.288288

0

0.028002

0

1

0.144144

false

0.018018

0.036036

0

0.36036

0

null

0

null

0

1

0

05067ca48cd1bf1cfe7a6e17e6b2e4d00c579d5b

3,780

py

Python

app/mysql2json.py

ToHanwei/CORD

09f75b136431222ec945b2ddd6798ae805ec332e

[ "MIT" ]

null

app/mysql2json.py

ToHanwei/CORD

09f75b136431222ec945b2ddd6798ae805ec332e

[ "MIT" ]

null

app/mysql2json.py

ToHanwei/CORD

09f75b136431222ec945b2ddd6798ae805ec332e

[ "MIT" ]

null

#!coding:utf-8 import json import pymysql import pandas as pd class ReadJson(): def __init__(self, host, user, passwd, db, table, sort=None, _filter=None): self.host =host self.user =user self.passwd = passwd self.db = db self.table = table self.sort = sort ...

30.983607

100

0.552381

434

3,780

4.656682

0.218894

0.05146

0.029688

0.037605

0.399307

0.376051

0.35329

0.325581

0

0.00237

0.330159

3,780

121

101

31.239669

0.795814

0.057672

0

0.348315

0

0.053689

0

0.022472

0

1

0.078652

false

0.033708

0

0.168539

0

null

0

null

0

1

0

0506e61a9ace0c2d5bc6f23b2cc7e615718656a8

3,583

py

Python

dict2xml.py

lucasicf/dict2xml

7421414c71e1d95a4d60e84f942379edb4df2df5

[ "BSD-3-Clause" ]

12

2015-07-12T20:07:10.000Z

2022-02-10T05:16:14.000Z

dict2xml.py

lucasicf/dict2xml

7421414c71e1d95a4d60e84f942379edb4df2df5

[ "BSD-3-Clause" ]

null

dict2xml.py

lucasicf/dict2xml

7421414c71e1d95a4d60e84f942379edb4df2df5

[ "BSD-3-Clause" ]

7

2015-05-21T09:39:52.000Z

2021-02-28T22:01:15.000Z

# -*- coding: utf-8 -*- from xml.dom import minidom import re # Thrown on any dictionary error class Dict2XMLException(Exception): pass def _dict_sort_key(key_value): key = key_value[0] match = re.match('(\d+)__.*', key) return match and int(match.groups()[0]) or key _iter_dict_sorted = lambda dic: ...

34.786408

88

0.6542

426

3,583

5.361502

0.295775

0.077058

0.028021

0.02627

0.180823

0.140981

0.055166

0

0.009314

0.250907

3,583

102

89

35.127451

0.841654

0.075077

0

0.094595

0

0.10348

0

1

0.067568

false

0.027027

0

0.148649

0

null

0

null

0

1

0

05071a1ee7761ffc57199c77291dcea3601a853d

1,247

py

Python

06_rotation_transformation.py

Mathanraj-Sharma/OpenCV_Sample_Codes

a20710fa05d7817b9c4c78acc64b852b0cde7583

[ "Apache-2.0" ]

1

2019-11-23T06:52:58.000Z

06_rotation_transformation.py

Mathanraj-Sharma/OpenCV_Sample_Codes

a20710fa05d7817b9c4c78acc64b852b0cde7583

[ "Apache-2.0" ]

null

06_rotation_transformation.py

Mathanraj-Sharma/OpenCV_Sample_Codes

a20710fa05d7817b9c4c78acc64b852b0cde7583

[ "Apache-2.0" ]

1

2019-11-23T11:18:37.000Z

import cv2 import argparse import numpy as np ap = argparse.ArgumentParser() ap.add_argument('-i', required = True, help = 'Enter the path of Image') args = vars(ap.parse_args()) image = cv2.imread(args['i']) def wheel(image, center): i = 1 while (True): if i > 359: cv2.imshow('Wheel', image) cv2.waitKey(...

22.267857

75

0.690457

194

1,247

4.35567

0.391753

0.099408

0.071006

0.030769

0.068639

0

0.040976

0.178027

1,247

56

76

22.267857

0.783415

0.238172

0

0.125

0

0.075693

0

1

0.0625

false

0

0.09375

0

0.1875

0

null

0

null

0

1

0

0507429bfe72a62ce8131002bc3538a2af143672

3,972

py

Python

feichangzun/directGetFlightData.py

Octoberr/weizhuangIP

d37e82df35d0b8b84bfa38f3a487fd81ab969070

[ "Apache-2.0" ]

null

feichangzun/directGetFlightData.py

Octoberr/weizhuangIP

d37e82df35d0b8b84bfa38f3a487fd81ab969070

[ "Apache-2.0" ]

null

feichangzun/directGetFlightData.py

Octoberr/weizhuangIP

d37e82df35d0b8b84bfa38f3a487fd81ab969070

[ "Apache-2.0" ]

null

import getflightdata import requests from bs4 import BeautifulSoup import random import json import pymongo import datetime from Utils.config import config # import config mongoConf = config['mongo'] feichangzun = 'http://www.variflight.com/flight/fnum/' feichangzunhouzui = '.html?AE71649A58c77&fdate=' def get_h...

34.842105

108

0.629909

447

3,972

5.52349

0.331096

0.136087

0.051843

0.027542

0.348319

0

0.023477

0.206445

3,972

113

109

35.150442

0.759835

0.039275

0

0.311111

0

0.022222

0.207304

0.023384

0

1

0.044444

false

0

0.088889

0

0.188889

0

null

0

null

0

1

0

0507ce8c6b29b5cd6c3e947a8e5f6cea05343e0b

2,402

py

Python

face/face-30sec.py

eric-erki/ai-smarthome

ca7316ebe72b0ad26f0b59e3186426633807cac8

[ "BSD-2-Clause" ]

28

2018-08-09T13:10:34.000Z

2022-01-07T13:39:31.000Z

face/face-30sec.py

eric-erki/ai-smarthome

ca7316ebe72b0ad26f0b59e3186426633807cac8

[ "BSD-2-Clause" ]

4

2018-08-09T13:18:12.000Z

2021-04-06T19:04:54.000Z

face/face-30sec.py

eric-erki/ai-smarthome

ca7316ebe72b0ad26f0b59e3186426633807cac8

[ "BSD-2-Clause" ]

15

2018-12-17T09:17:28.000Z

2021-03-02T11:25:05.000Z

import numpy as np import cv2 import face_recognition import time # Load a sample picture and learn how to recognize it. me_image = face_recognition.load_image_file("known/joakim.png") me_face_encoding = face_recognition.face_encodings(me_image)[0] known_face_encodings = [ me_face_encoding, ] known_face_names = [...

32.459459

89

0.651957

332

2,402

4.521084

0.343373

0.08994

0.095936

0.037308

0.13058

0.085276

0

0.023064

0.241882

2,402

73

90

32.90411

0.801208

0.130724

0

0.083654

0

0.001923

0

1

0

false

0

0.071429

0

0.071429

0.125

0

null

0

null

0

1

0

050a2b44b8dd6b46945c916a81b519efe47b76fb

2,473

py

Python

solutions/dropbox/compare_functions.py

roman-kachanovsky/checkio

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

1

2017-02-07T19:50:52.000Z

solutions/dropbox/compare_functions.py

roman-kachanovsky/checkio-python

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

null

solutions/dropbox/compare_functions.py

roman-kachanovsky/checkio-python

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

null

""" --- Compare Functions --- Simple Two functions f and g are provided as inputs to checkio. The first function f is the primary function and the second function g is the backup. Use your coding skills to return a third function h which returns the same output as f unless f raises an exception or returns None. In thi...

32.973333

78

0.595633

368

2,473

3.894022

0.277174

0.016748

0.013957

0.020935

0.054431

0

0.327537

2,473

74

79

33.418919

0.861696

0.51112

0

0.162162

0

0.055

0

1

0.108108

false

0

0.27027

0

null

0

null

0

1

0

050b0bea353171a3c51a6088825350acb0d9291f

3,402

py

Python

yawndb/sync.py

selectel/python-yawndb

6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6

[ "MIT" ]

null

yawndb/sync.py

selectel/python-yawndb

6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6

[ "MIT" ]

null

yawndb/sync.py

selectel/python-yawndb

6d1c7d4b16a5cb5ef96496a22a3afb0bae7f2bb6

[ "MIT" ]

null

""" yawndb.sync ~~~~~~~~~~~ Sync YAWNDB transport. Use standart socket object methods. """ import time import json import socket import urllib2 import logging from collections import deque from yawndb._base import _YAWNDBBase _logger = logging.getLogger(__name__) class YAWNDB(_YAWNDBBase): """Syn...

29.076923

79

0.546149

419

3,402

4.24105

0.295943

0.06753

0.033765

0.025324

0.261114

0.204277

0.155881

0.115926

0.043894

0

0.013753

0.337449

3,402

116

80

29.327586

0.774623

0.116402

0

0.352941

0

0.011765

0.059302

0

1

0.117647

false

0.011765

0.082353

0

0.317647

0

null

0

null

0

1

0

050b23d1c21cc11db93c4c94dba0b845a1f1693e

1,209

py

Python

setup.py

ofek/depq

370e3ad503d3e9cedc3c49dc64add393ba945764

[ "MIT" ]

1

2019-02-12T13:17:56.000Z

setup.py

ofek/depq

370e3ad503d3e9cedc3c49dc64add393ba945764

[ "MIT" ]

4

2016-12-10T20:17:38.000Z

2017-06-16T19:02:47.000Z

setup.py

ofek/depq

370e3ad503d3e9cedc3c49dc64add393ba945764

[ "MIT" ]

5

2016-12-10T20:13:42.000Z

2020-09-28T09:02:10.000Z

from setuptools import setup, find_packages with open('README.rst', 'r') as infile: read_me = infile.read() setup( packages=find_packages(), name='depq', version='1.5.5', description='Double-ended priority queue', long_description=read_me, author='Ofek Lev', author_email='ofekmeister@...

28.116279

71

0.612076

124

1,209

5.903226

0.604839

0.053279

0.102459

0.065574

0.087432

0

0.010977

0.246485

1,209

42

72

28.785714

0.792536

0

0.054054

0

0.503722

0.034739

0

1

0

false

0

0.027027

0

0.027027

0

null

0

null

0

1

0

050bc5ae6e8eba8aac368023fb49c3014cb5ef03

880

py

Python

tests/exact_tests/contour_tests/strategies.py

lycantropos/rene

c73c616f3e360b994e92c950a3616a8ccb1136b9

[ "MIT" ]

null

tests/exact_tests/contour_tests/strategies.py

lycantropos/rene

c73c616f3e360b994e92c950a3616a8ccb1136b9

[ "MIT" ]

null

tests/exact_tests/contour_tests/strategies.py

lycantropos/rene

c73c616f3e360b994e92c950a3616a8ccb1136b9

[ "MIT" ]

null

from hypothesis import strategies from rithm import Fraction from rene import MIN_CONTOUR_VERTICES_COUNT from rene.exact import (Contour, Point) integers = strategies.integers() non_zero_integers = integers.filter(bool) scalars = (integers | strategies.fractions() | strategies.build...

36.666667

73

0.664773

90

880

6.255556

0.388889

0.053286

0.095915

0.122558

0.262877

0.166963

0

0.00155

0.267045

880

23

74

38.26087

0.871318

0

0.095238

0

1

0

false

0

0.190476

0

0.190476

0

null

0

null

0

1

0

05108d99ff3259ead7d1205123464ffd5c4850a2

5,504

py

Python

app.py

makerdao-data/gov-tracker

52b7588e5c200b0af5b64a2891b276cbcc149ff1

[ "Apache-2.0" ]

null

app.py

makerdao-data/gov-tracker

52b7588e5c200b0af5b64a2891b276cbcc149ff1

[ "Apache-2.0" ]

null

app.py

makerdao-data/gov-tracker

52b7588e5c200b0af5b64a2891b276cbcc149ff1

[ "Apache-2.0" ]

null

# Copyright 2021 DAI Foundation # # 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,...

28.518135

117

0.677871

748

5,504

4.794118

0.270053

0.031233

0.026771

0.031233

0.226157

0.208589

0.187953

0.118238

0.090351

0.0686

0

0.003112

0.182776

5,504

192

118

28.666667

0.794131

0.178234

0

0.146552

0

0.129061

0.026925

0

1

0.12931

false

0

0.155172

0.051724

0.396552

0.008621

0

null

0

null

0

1

0

051130482cb3691a34b0be84581c86dd2a4ce54f

3,280

py

Python

open_spiel/python/mst/run_mst.py

BrandonKates/open_spiel

f820abe9bdfdbc4bd45c2e933439393d4ad3622a

[ "Apache-2.0" ]

null

open_spiel/python/mst/run_mst.py

BrandonKates/open_spiel

f820abe9bdfdbc4bd45c2e933439393d4ad3622a

[ "Apache-2.0" ]

null

open_spiel/python/mst/run_mst.py

BrandonKates/open_spiel

f820abe9bdfdbc4bd45c2e933439393d4ad3622a

[ "Apache-2.0" ]

null

# Copyright 2019 DeepMind Technologies Ltd. All rights reserved. # # 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 appl...

34.166667

129

0.695122

468

3,280

4.713675

0.350427

0.021759

0.031278

0.039891

0.085675

0.062103

0

0.014829

0.198171

3,280

95

130

34.526316

0.823954

0.264329

0

0.071429

0

0.017857

0.128978

0.020519

0

1

0.017857

false

0

0.160714

0

0.178571

0

null

0

null

0

1

0

0511cceb2ee442a4c70aeab49d84be0233b7fcac

10,952

py

Python

classify.py

clulab/incivility

82d8e8164b81e9f4d5737520f2cbf308d3fcd033

[ "Apache-2.0" ]

1

2020-09-18T12:05:13.000Z

classify.py

clulab/incivility

82d8e8164b81e9f4d5737520f2cbf308d3fcd033

[ "Apache-2.0" ]

null

classify.py

clulab/incivility

82d8e8164b81e9f4d5737520f2cbf308d3fcd033

[ "Apache-2.0" ]

null

import argparse import os import subprocess from typing import List, Sequence, Text import textwrap import numpy as np import pandas as pd import sklearn import tensorflow as tf import tensorflow_addons as tfa import transformers import data import models import ga def train(model_path: Text, train_data_p...

38.975089

137

0.603543

1,321

10,952

4.738077

0.207419

0.038824

0.070618

0.042179

0.37498

0.316984

0.269212

0.221601

0.203866

0.184215

0

0.007553

0.286797

10,952

280

138

39.114286

0.793752

0.044375

0

0.188596

0

0.008772

0.200957

0.05177

0

1

0.017544

false

0

0.061404

0.004386

0.083333

0.039474

0

null

0

null

0

1

0

051260c977d73217e66d8ef66398ae1931f7b899

814

py

Python

p2/src/prove.py

ruimgf/AIDS

72bc808ef5e21113f635f34581d18c0dc2c8c7da

[ "MIT" ]

null

p2/src/prove.py

ruimgf/AIDS

72bc808ef5e21113f635f34581d18c0dc2c8c7da

[ "MIT" ]

null

p2/src/prove.py

ruimgf/AIDS

72bc808ef5e21113f635f34581d18c0dc2c8c7da

[ "MIT" ]

null

import sys from kb import * #receives a list of setences if it is in test mode def main(lista=None): sentences = [] if lista is None: with sys.stdin as f : #open stdin as a file lines = f.readlines() for line in lines: # convert each line to a python object lin...

25.4375

69

0.5086

100

814

4.05

0.51

0.111111

0.088889

0

0.405405

814

31

70

26.258065

0.836777

0.130221

0

0.08

0

0.011348

0

1

0.04

false

0

0.08

0

0.16

0.08

0

null

0

null

0

1

0

0514df3dee36ec46f44f8239441b8f0b35d0374b

758

py

Python

stub_extractor/util.py

srittau/stub-extractor

f161c10a2f041a74040a04e00e0b0d33cb94a0fe

[ "MIT" ]

null

stub_extractor/util.py

srittau/stub-extractor

f161c10a2f041a74040a04e00e0b0d33cb94a0fe

[ "MIT" ]

null

stub_extractor/util.py

srittau/stub-extractor

f161c10a2f041a74040a04e00e0b0d33cb94a0fe

[ "MIT" ]

null

from typing import Iterator, List, Optional, Sequence, Tuple, TypeVar _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") def rzip_longest( seq1: Sequence[_T1], seq2: Sequence[_T2] ) -> Iterator[Tuple[_T1, Optional[_T2]]]: """Make an iterator over tuples, with elements from the input sequences. If the second sequ...

30.32

76

0.647757

114

758

4.157895

0.491228

0.044304

0.059072

0

0.045075

0.209763

758

24

77

31.583333

0.746244

0.353562

0

0.077754

0

1

0.083333

false

0

0.083333

0

0.25

0

null

0

null

0

1

0

05167a6a94f7c83fc6497eed1db4333dd9bd4308

12,980

py

Python

weibospider.py

Chiang97912/WeiboSpider

2c426d2dfa8c6d418b66bd54002c292194872c88

[ "MIT" ]

null

weibospider.py

Chiang97912/WeiboSpider

2c426d2dfa8c6d418b66bd54002c292194872c88

[ "MIT" ]

null

weibospider.py

Chiang97912/WeiboSpider

2c426d2dfa8c6d418b66bd54002c292194872c88

[ "MIT" ]

1

2021-05-07T06:35:22.000Z

# -*- coding: UTF-8 -*- import os import json import time import rsa import base64 import urllib import binascii import traceback import requests import pandas as pd from lxml import etree from datetime import datetime class NoResultException(Exception): def __init__(self): super().__init__() def __...

39.938462

170

0.469106

1,397

12,980

4.256263

0.248389

0.017154

0.011773

0.022873

0.235789

0.214598

0.207198

0.17928

0.168517

0.162294

0

0.026612

0.377581

12,980

324

171

40.061728

0.70937

0.01849

0

0.185965

0

0.049123

0.200945

0.077323

0

1

0.042105

false

0.010526

0.042105

0.003509

0.108772

0.021053

0

null

0

null

0

1

0

0516e5d4fd543c80d6f16ba01f4a7586b969a893

3,783

py

Python

spoty/commands/get_second_group.py

dy-sh/spoty

431a392707c8754da713871e0e7747bcc4417274

[ "MIT" ]

2

2022-02-01T16:49:32.000Z

2022-03-02T18:30:31.000Z

spoty/commands/get_second_group.py

dy-sh/spoty

431a392707c8754da713871e0e7747bcc4417274

[ "MIT" ]

null

spoty/commands/get_second_group.py

dy-sh/spoty

431a392707c8754da713871e0e7747bcc4417274

[ "MIT" ]

null

from spoty.commands.first_list_commands import \ count_command, \ export_command, \ print_command from spoty.commands.second_list_commands import \ filter_second_group, \ find_duplicates_second_command,\ find_deezer_second_group, \ find_spotify_second_group from spoty.commands import get_gro...

50.44

187

0.641819

469

3,783

4.991471

0.234542

0.077745

0.061512

0.056813

0.664246

0.58223

0.41777

0.390431

0.359675

0

0.004334

0.268041

3,783

75

188

50.44

0.841098

0.018504

0

0.272727

0

0.090909

0.341437

0.041869

0

1

0.015152

false

0.015152

0.075758

0

0.090909

0.030303

0

null

0

null

0

1

0

05195432ec2c13cb2bd586385c70cb0f3fcc21ab

19,804

py

Python

jenkins_job_wrecker/modules/triggers.py

romanek-adam/jenkins-job-wrecker

db9379d852afe8b621c7688d34fd057d916de8f2

[ "MIT" ]

1

2020-06-05T06:36:50.000Z

jenkins_job_wrecker/modules/triggers.py

romanek-adam/jenkins-job-wrecker

db9379d852afe8b621c7688d34fd057d916de8f2

[ "MIT" ]

15

2020-05-18T07:37:06.000Z

2020-08-24T09:16:08.000Z

jenkins_job_wrecker/modules/triggers.py

romanek-adam/jenkins-job-wrecker

db9379d852afe8b621c7688d34fd057d916de8f2

[ "MIT" ]

null

# encoding=utf8 import jenkins_job_wrecker.modules.base from jenkins_job_wrecker.helpers import get_bool, Mapper class Triggers(jenkins_job_wrecker.modules.base.Base): component = 'triggers' def gen_yml(self, yml_parent, data): triggers = [] for child in data: object_name = child...

51.572917

119

0.569683

1,821

19,804

6.075783

0.183965

0.036876

0.035792

0.022777

0.36325

0.262292

0.199837

0.109635

0.063539

0.038503

0

0.00178

0.319127

19,804

383

120

51.707572

0.818748

0.017067

0

0.147727

0

0.264549

0.132583

0

0.002611

0

1

0.028409

false

0.022727

0.005682

0

0.048295

0

null

0

null

0

1

0

051d3484ddd9be778a5ba470d36fedfb5de63393

4,097

py

Python

tools/clean-parallel.py

ZJaume/clean

0c3c6bab8bf173687ec0bba6908097ef7bc38db2

[ "MIT" ]

1

2021-06-02T03:08:32.000Z

tools/clean-parallel.py

ZJaume/clean

0c3c6bab8bf173687ec0bba6908097ef7bc38db2

[ "MIT" ]

1

2021-05-30T22:55:44.000Z

2021-06-02T08:47:56.000Z

tools/clean-parallel.py

ZJaume/clean

0c3c6bab8bf173687ec0bba6908097ef7bc38db2

[ "MIT" ]

2

2021-06-01T19:07:43.000Z

2021-06-03T11:03:04.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import sys import re import regex import argparse # The variables below need to be adjusted for a language pair and dataset. # To add a new language, define the list of alpha characters in the dict below. MIN_LENGTH = 1 # minimum number of words in a sentence MAX_L...

32.515873

96

0.640469

531

4,097

4.79661

0.340866

0.017275

0.009423

0.01492

0.018846

0

0.008313

0.207225

4,097

125

97

32.776

0.775862

0.10886

0

0.021277

0

0.291323

0.18726

0

1

0.031915

false

0

0.042553

0

0.191489

0

null

0

null

0

1

0

0520b1fd12c6c807e99e2585c0ad990c4a9c1185

3,001

py

Python

undercrawler/crazy_form_submitter.py

abael/ScrapyGenericCrawler

9d210fb862a7fddd58c548847d8f5c2d72eae5c1

[ "MIT" ]

88

2016-04-07T18:41:19.000Z

2022-01-03T12:18:44.000Z

undercrawler/crazy_form_submitter.py

shekar9160/generic_scraper

e5104dca5a5d9fe4b9ddd085c7b0935a712ea74d

[ "MIT" ]

61

2016-04-06T18:31:45.000Z

2021-07-15T12:10:23.000Z

undercrawler/crazy_form_submitter.py

shekar9160/generic_scraper

e5104dca5a5d9fe4b9ddd085c7b0935a712ea74d

[ "MIT" ]

31

2016-04-14T07:49:49.000Z

2021-08-08T17:07:36.000Z

import logging import random import string from scrapy.http.request.form import _get_inputs as get_form_data logger = logging.getLogger(__name__) SEARCH_TERMS = list(string.ascii_lowercase) + list('123456789 *%.?') def search_form_requests(url, form, meta, search_terms=None, extra_search_terms=None): ...

40.554054

78

0.638121

372

3,001

4.857527

0.284946

0.091312

0.053127

0.033204

0.186497

0.133924

0.097399

0.05534

0

0.009246

0.27924

3,001

73

79

41.109589

0.826167

0.072309

0

0.068017

0

0.017544

1

0.052632

false

0

0.070175

0.017544

0.175439

0

null

0

null

0

1

0

0524ab92ab97c6f8922dd3dd0c03bf3b79b8a0ee

921

py

Python

libs/libssh2/libssh2.py

simont77/craft-blueprints-kde

3c0a40923c7c8e0341ad08afde22f86bb1517ddf

[ "BSD-2-Clause" ]

null

libs/libssh2/libssh2.py

simont77/craft-blueprints-kde

3c0a40923c7c8e0341ad08afde22f86bb1517ddf

[ "BSD-2-Clause" ]

1

2020-01-10T01:06:16.000Z

libs/libssh2/libssh2.py

simont77/craft-blueprints-kde

3c0a40923c7c8e0341ad08afde22f86bb1517ddf

[ "BSD-2-Clause" ]

2

2020-01-02T18:22:12.000Z

2020-08-05T13:39:21.000Z

# -*- coding: utf-8 -*- import info class subinfo(info.infoclass): def setTargets( self ): self.svnTargets['master'] = 'https://github.com/libssh2/libssh2.git||libssh2-1.8.0' self.targets['1.8.0'] = "https://www.libssh2.org/download/libssh2-1.8.0.tar.gz" self.targetInstSrc['1.8.0'] = "libss...

38.375

108

0.667752

108

921

5.601852

0.546296

0.016529

0.024793

0.049587

0.046281

0

0.03534

0.170467

921

23

109

40.043478

0.756545

0.022801

0

0.058824

0.326644

0.101449

0

1

0.176471

false

0

0.117647

0

0.411765

0

null

0

null

0

1

0

05273ebf4b8d4eb6302f146e1b519e163f850d92

5,289

py

Python

tooling/maven.py

AntonisGkortzis/Vulnerabilities-in-Reused-Software

16b2087cb595b48446dadda8cae75dad6ef1433b

[ "MIT" ]

3

2020-11-24T20:30:59.000Z

2021-05-26T02:33:53.000Z

tooling/maven.py

AntonisGkortzis/Vulnerabilities-in-Reused-Software

16b2087cb595b48446dadda8cae75dad6ef1433b

[ "MIT" ]

null

tooling/maven.py

AntonisGkortzis/Vulnerabilities-in-Reused-Software

16b2087cb595b48446dadda8cae75dad6ef1433b

[ "MIT" ]

null

import os import re import logging import zipfile logger = logging.getLogger(__name__) class MvnArtifact: """ Class representing a fully defined maven artifact (e.g., <groupId>:<artifactId>:<type>:<version>[:<dep_type>]) """ __elem_re = re.compile(r'^(.+?):(.+?):(.+?):(.+?)((:)(.+))?$') def __...

33.687898

156

0.560219

701

5,289

4.00428

0.203994

0.011756

0.015675

0.008906

0.191664

0.145351

0.089063

0

0.010455

0.276612

5,289

156

157

33.903846

0.72321

0.027037

0

0.126126

0

0.018018

0.13466

0.080991

0

1

0.153153

false

0

0.036036

0.009009

0.351351

0.027027

0

null

0

null

0

1

0

0527ccd6baf873620f163e0b3ed2a44bfa92eff6

1,812

py

Python

ptsites/sites/hares.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

null

ptsites/sites/hares.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

null

ptsites/sites/hares.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

null

from ..schema.nexusphp import Attendance from ..schema.site_base import Work, SignState from ..utils.net_utils import NetUtils class MainClass(Attendance): URL = 'https://club.hares.top/' USER_CLASSES = { 'downloaded': [8796093022208], 'share_ratio': [5.5], 'days': [364] } def...

29.225806

82

0.400662

148

1,812

4.790541

0.655405

0.028209

0

0.024218

0.453091

1,812

61

83

29.704918

0.691221

0

0.197572

0.024283

0

1

0.053571

false

0

0.053571

0.017857

0.232143

0

null

0

null

0

1

0

05299930cfe175dfdd505fa507a88544ad0e95c1

716

py

Python

tests/garage/sampler/test_rl2_worker.py

blacksph3re/garage

b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507

[ "MIT" ]

1,500

2018-06-11T20:36:24.000Z

2022-03-31T08:29:01.000Z

tests/garage/sampler/test_rl2_worker.py

blacksph3re/garage

b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507

[ "MIT" ]

2,111

2018-06-11T04:10:29.000Z

2022-03-26T14:41:32.000Z

tests/garage/sampler/test_rl2_worker.py

blacksph3re/garage

b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507

[ "MIT" ]

309

2018-07-24T11:18:48.000Z

2022-03-30T16:19:48.000Z

from garage.envs import GymEnv from garage.tf.algos.rl2 import RL2Worker from tests.fixtures import TfGraphTestCase from tests.fixtures.envs.dummy import DummyBoxEnv from tests.fixtures.policies import DummyPolicy class TestRL2Worker(TfGraphTestCase): def test_rl2_worker(self): env = GymEnv(DummyBoxEnv(...

32.545455

50

0.655028

83

716

5.506024

0.566265

0.059081

0.111597

0

0.030476

0.26676

716

21

51

34.095238

0.84

0

0.058824

1

0.058824

false

0

0.294118

0

0.411765

0

null

0

null

0

1

0

052a76693b3fb6c307548d396e0accbc369737c8

660

py

Python

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

null

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

null

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20001208.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

1

2020-07-26T03:57:45.000Z

#Uche Ogbuji exercises format-number on Brad Marshall's behalf from Xml.Xslt import test_harness sheet_1 = """\ <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match = "/"> <xsl:value-of select='format-number(10000000000.75 + 10000000000.50, "##.##"...

24.444444

84

0.671212

89

660

4.865169

0.573034

0.101617

0.04157

0.115473

0

0.098214

0.151515

660

26

85

25.384615

0.675

0.093939

0

0.125

0.518456

0.060403

0

1

0.0625

false

0

0.0625

0

0.1875

0

null

0

null

0

1

0

052bebc9ce249268deadd50cd183873b6f1a799a

2,697

py

Python

tests/test_connection.py

daniel-herrero/fastapi-mailman

a174d0ec777d3330dc5464f71fafa7829db07bf1

[ "MIT" ]

6

2021-10-08T10:20:37.000Z

2022-03-30T08:56:10.000Z

tests/test_connection.py

daniel-herrero/fastapi-mailman

a174d0ec777d3330dc5464f71fafa7829db07bf1

[ "MIT" ]

2

2021-11-11T11:44:29.000Z

2022-03-08T06:54:54.000Z

tests/test_connection.py

daniel-herrero/fastapi-mailman

a174d0ec777d3330dc5464f71fafa7829db07bf1

[ "MIT" ]

1

2022-03-04T14:43:22.000Z

import typing as t import pytest as pt from fastapi_mailman import BadHeaderError, EmailMessage if t.TYPE_CHECKING: from fastapi_mailman import Mail @pt.mark.anyio async def test_send_message(mail: "Mail"): mail.backend = "locmem" msg = EmailMessage( subject="testing", to=["to@example.c...

28.389474

102

0.629218

355

2,697

4.63662

0.180282

0.055286

0.063183

0.068044

0.699271

0.6452

0.631227

0.614824

0.565006

0.540705

0

0.007353

0.243604

2,697

94

103

28.691489

0.79951

0

0.578947

0

0.090471

0

0.197368

1

0

false

0

0.052632

0

0.052632

0

null

0

null

0

1

0

052c8a3287a40e2446164e87ba133bbda46f1779

294

py

Python

Workshops/enBuyukSayi.py

brkyydnmz/Python

8cde0421edda6ac5b7fd30e8f20ad7cb6e1708b0

[ "MIT" ]

null

Workshops/enBuyukSayi.py

brkyydnmz/Python

8cde0421edda6ac5b7fd30e8f20ad7cb6e1708b0

[ "MIT" ]

null

Workshops/enBuyukSayi.py

brkyydnmz/Python

8cde0421edda6ac5b7fd30e8f20ad7cb6e1708b0

[ "MIT" ]

null

# -*- coding: utf-8 -*- sayi1 = int(input("1. Sayı:")) sayi2 = int(input("2. Sayı:")) sayi3 = int(input("3. Sayı:")) if (sayi1>=sayi2) and (sayi1>=sayi3): enBuyuk = sayi1 elif(sayi2>=sayi1) and (sayi2>=sayi3): enBuyuk = sayi2 else: enBuyuk = sayi3 print("En Büyük Sayı:",enBuyuk)

21

38

0.608844

42

294

4.261905

0.47619

0.134078

0

0.074074

0.173469

294

14

39

21

0.662551

0.071429

0

0.139706

0

1

0

false

0

0.1

0

null

0

null

0

1

0

052d317538142bae7b508c18b4e71450d9b3e276

399

py

Python

08/seven-segment_part1.py

ReinprechtStefan/AdventOfCode2021

a2750c5fbcc7fc927d710f4db6926d015a2fb673

[ "Apache-2.0" ]

null

08/seven-segment_part1.py

ReinprechtStefan/AdventOfCode2021

a2750c5fbcc7fc927d710f4db6926d015a2fb673

[ "Apache-2.0" ]

null

08/seven-segment_part1.py

ReinprechtStefan/AdventOfCode2021

a2750c5fbcc7fc927d710f4db6926d015a2fb673

[ "Apache-2.0" ]

null

with open('input.txt') as f: lines = f.readlines() counter = 0 for line in lines: right_part = line.split(" | ")[1] for segment in right_part.strip().split(" "): #print(segment, len(segment)) if len(segment) in [2,3,4,7]: counter += 1 #e...

22.166667

53

0.491228

49

399

3.959184

0.571429

0.154639

0.175258

0

0.027451

0.360902

399

17

54

23.470588

0.733333

0.170426

0

0.039634

0

1

0

false

0

0.111111

0

null

0

null

0

1

0

052ffb78d4e1a7b366b635d756b5d2bbba48de18

7,605

py

Python

main/gui.py

MBmasher/weighted-object

eaaf25338240873b7c4197097b2bb73be256b702

[ "MIT" ]

null

main/gui.py

MBmasher/weighted-object

eaaf25338240873b7c4197097b2bb73be256b702

[ "MIT" ]

null

main/gui.py

MBmasher/weighted-object

eaaf25338240873b7c4197097b2bb73be256b702

[ "MIT" ]

null

import Tkinter import weighted_objects import tkFileDialog import time import ttk import numpy import sys while True: # Ask user for file dialog. Tkinter.Tk().withdraw() osu_file_path = tkFileDialog.askopenfilename(title="Select an osu file", filetypes=(("osu files", "*.osu"),)) # Calcula...

39.201031

118

0.598028

984

7,605

4.426829

0.214431

0.085399

0.080808

0.068871

0.399679

0.297062

0.205923

0.115932

0.091139

0.033747

0

0.041096

0.289678

7,605

193

119

39.404145

0.765272

0.139645

0

0.049587

0

0.094229

0

1

0.049587

false

0

0.057851

0

0.107438

0

null

0

null

0

1

0

05343aca0c5c82c59e3358b3b9d65dce1ef6b0de

806

py

Python

pyzfscmds/check.py

johnramsden/pyzfscmds

b5d430ffd0454bc6b09e256aeea67164714d9809

[ "BSD-3-Clause" ]

9

2018-07-08T20:01:33.000Z

2022-03-29T11:31:51.000Z

pyzfscmds/check.py

johnramsden/pyzfscmds

b5d430ffd0454bc6b09e256aeea67164714d9809

[ "BSD-3-Clause" ]

1

2019-07-10T12:16:53.000Z

pyzfscmds/check.py

johnramsden/pyzfscmds

b5d430ffd0454bc6b09e256aeea67164714d9809

[ "BSD-3-Clause" ]

5

2018-06-04T02:33:43.000Z

2020-05-25T22:48:58.000Z

""" Startup checks """ import subprocess import pyzfscmds.system.agnostic as zfssys def is_root_on_zfs(): """Check if running root on ZFS""" system = zfssys.check_valid_system() if system is None: raise RuntimeError(f"System is not yet supported by pyzfscmds\n") root_dataset = None if z...

23.705882

77

0.66005

101

806

5.128713

0.504951

0.084942

0.034749

0.088803

0

0.243176

806

33

78

24.424242

0.84918

0.05335

0

0.105263

0

0.141333

0

1

0.105263

false

0

0.105263

0

0.368421

0

null

0

null

0

1

0

0536d3d2cb26fae2a4bb43f1a3c0258c006ca24c

2,015

py

Python

dist.py

dladustn95/Dialogue_generator

004fa49e3140e6c7ceb14448604c8aa45966f70d

[ "MIT" ]

4

2020-09-03T03:39:53.000Z

2021-08-25T03:53:41.000Z

dist.py

dladustn95/Dialogue_generator

004fa49e3140e6c7ceb14448604c8aa45966f70d

[ "MIT" ]

null

dist.py

dladustn95/Dialogue_generator

004fa49e3140e6c7ceb14448604c8aa45966f70d

[ "MIT" ]

1

2020-09-04T07:04:50.000Z

import sys def distinct_1(path): inFile = open(path, mode="r", encoding="utf8") char_set = set() all_unigram_count = 0 for line in inFile.readlines(): line = line.strip().split(" ") for word in line: char_set.add(word) all_unigram_count += len(line) distinct_unig...

34.152542

79

0.655583

279

2,015

4.444444

0.143369

0.159677

0.112903

0.070968

0.737097

0.602419

0.545968

0.446774

0.4

0

0.015843

0.216873

2,015

59

80

34.152542

0.769962

0

0.423077

0

0.074405

0

1

0.057692

false

0

0.019231

0

0.134615

0.173077

0

null

0

null

0

1

0

0537e1ab85799850e99a5e3c6bb0f22f481e1ab8

5,036

py

Python

Scripts/plot_PolarVortexStrength_PDFs.py

zmlabe/StratoVari

c5549f54482a2b05e89bded3e3b0b3c9faa686f3

[ "MIT" ]

4

2019-11-23T19:44:21.000Z

2020-02-20T16:54:45.000Z

Scripts/plot_PolarVortexStrength_PDFs.py

zmlabe/StratoVari

c5549f54482a2b05e89bded3e3b0b3c9faa686f3

[ "MIT" ]

null

Scripts/plot_PolarVortexStrength_PDFs.py

zmlabe/StratoVari

c5549f54482a2b05e89bded3e3b0b3c9faa686f3

[ "MIT" ]

2

2019-06-21T19:27:55.000Z

2021-02-12T19:13:22.000Z

""" Calculate PDFs for polar vortex response Notes ----- Author : Zachary Labe Date : 25 June 2019 """ ### Import modules import numpy as np import matplotlib.pyplot as plt import datetime import read_MonthlyData as MO import calc_Utilities as UT import cmocean import scipy.stats as sts ### Define director...

34.027027

79

0.53475

642

5,036

4.158879

0.370717

0.053933

0.017978

0.022472

0.233333

0.138577

0.126592

0

0.026763

0.146743

5,036

147

80

34.258503

0.594601

0.112788

0

0.141304

0

0.116022

0.015746

0

1

0

false

0

0.076087

0

0.076087

0.054348

0

null

0

null

0

1

0

053869e3d79166cc0d895c117eef19a63bd977af

906

py

Python

test/test_airtunnel/operators/test_sql_helpers.py

joerg-schneider/airflow-bootstrap

bbed0a2d5addd0dd6221b75c06982f47e0d837d4

[ "MIT" ]

23

2019-09-30T15:22:58.000Z

2021-04-09T10:53:23.000Z

test/test_airtunnel/operators/test_sql_helpers.py

joerg-schneider/airflow-bootstrap

bbed0a2d5addd0dd6221b75c06982f47e0d837d4

[ "MIT" ]

1

2019-11-24T18:37:56.000Z

test/test_airtunnel/operators/test_sql_helpers.py

joerg-schneider/airflow-bootstrap

bbed0a2d5addd0dd6221b75c06982f47e0d837d4

[ "MIT" ]

4

2020-01-14T03:31:34.000Z

2021-05-07T21:34:22.000Z

import pytest from airtunnel.operators.sql import sql_helpers TEST_SCRIPT = "ddl/test_schema/test_table.sql" @pytest.mark.parametrize( argnames=("sql_path",), argvalues=((TEST_SCRIPT,), ("/" + TEST_SCRIPT,), ((TEST_SCRIPT,),)), ) def test_load_sql_script(sql_path: str): # load with a single relative pat...

26.647059

74

0.728477

129

906

4.682171

0.372093

0.134106

0.139073

0.125828

0.319536

0.139073

0

0.005202

0.151214

906

33

75

27.454545

0.780234

0.03532

0

0.082569

0.034404

0

0.045455

1

0.181818

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

053914ae8ca6bed144522d26cba1f2a52c6014f5

2,582

py

Python

EE475/Ch6P13.py

PhoeniXuzoo/NU-Projects

a217ad46e6876ceffb3dec1d6e52f775674b2e8b

[ "MIT" ]

null

EE475/Ch6P13.py

PhoeniXuzoo/NU-Projects

a217ad46e6876ceffb3dec1d6e52f775674b2e8b

[ "MIT" ]

null

EE475/Ch6P13.py

PhoeniXuzoo/NU-Projects

a217ad46e6876ceffb3dec1d6e52f775674b2e8b

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt ## softmax: 0.1 600 ## perceptron: 0.05 550 def readData(csvname): data = np.loadtxt(csvname, delimiter=',') x = data[:-1, :] y = data[-1:, :] return x, y def softmaxCostFunc(x, y, w): cost = np.sum(np.log(1 + np.exp(-y*np.transpose(np.dot(np.t...

29.011236

82

0.573199

390

2,582

3.769231

0.210256

0.016327

0.020408

0.052381

0.359184

0.338776

0.326531

0.253061

0.212245

0

0.034712

0.241286

2,582

88

83

29.340909

0.715671

0.01433

0

0.272727

0

0.058268

0.008661

0

1

0.075758

false

0

0.030303

0

0.181818

0.030303

0

null

0

null

0

1

0

05399638e32621d9f8eab1ecc185a769af934b80

416

py

Python

square.py

Formalhalt/Phyton-Calculators

25f686e45a8333e9a141568c8f695350bde36bc6

[ "CC0-1.0" ]

null

square.py

Formalhalt/Phyton-Calculators

25f686e45a8333e9a141568c8f695350bde36bc6

[ "CC0-1.0" ]

null

square.py

Formalhalt/Phyton-Calculators

25f686e45a8333e9a141568c8f695350bde36bc6

[ "CC0-1.0" ]

null

height = float(input("Enter height of the square: ")) width = float(input("Enter width of the Square: ")) perimeter = (2 * height) + (2 * width) area = height * height print("The perimeter of the square is", perimeter) print("The area of the square is", area) close = input("Press X to exit") #...

23.111111

96

0.663462

65

416

4.246154

0.446154

0.09058

0.15942

0.094203

0

0.00627

0.233173

416

17

97

24.470588

0.858934

0.223558

0

0.415282

0

1

0

false

0

0.285714

0

null

0

null

0

1

0

0541032df78b9eac36f755de81be4a580d936532

5,223

py

Python

src/AoC_2015/d24_sleigh_balance_subset_sum/sleigh_balance.py

derailed-dash/Advent-of-Code

12378baf33ef4a59958e84eb60e795b6530c22ba

[ "MIT" ]

9

2021-12-31T20:13:03.000Z

2022-03-05T07:05:06.000Z

src/AoC_2015/d24_sleigh_balance_subset_sum/sleigh_balance.py

derailed-dash/Advent-of-Code

12378baf33ef4a59958e84eb60e795b6530c22ba

[ "MIT" ]

1

2022-01-25T08:35:04.000Z

2022-01-29T00:07:00.000Z

src/AoC_2015/d24_sleigh_balance_subset_sum/sleigh_balance.py

derailed-dash/Advent-of-Code

12378baf33ef4a59958e84eb60e795b6530c22ba

[ "MIT" ]

null

""" Author: Darren Date: 02/05/2021 Solving https://adventofcode.com/2015/day/24 We require three bags of equal weight. Bag 1 in the passenger compartment, needs to have fewest packages. Bags 2 and 3 to either side. Solution: Use subset sum function to work out which combinations of packages adds up to...

34.589404

103

0.681409

728

5,223

4.736264

0.296703

0.039443

0.020882

0.180104

0.146172

0.11891

0.082367

0.059745

0

0.008569

0.240283

5,223

150

104

34.82

0.860383

0.406663

0

0.098361

0

0.16522

0.05741

0

1

0.081967

false

0

0.098361

0.016393

0.245902

0.016393

0

null

0

null

0

1

0

0541425822ca873cc1104abcaddefbf0b86d3c05

8,946

py

Python

artap/algorithm_bayesopt.py

tamasorosz/artap

e8df160bfc9c378c3fc96b0b86e92d75d89cf26b

[ "MIT" ]

5

2021-06-13T17:04:37.000Z

2022-03-04T17:16:06.000Z

artap/algorithm_bayesopt.py

tamasorosz/artap

e8df160bfc9c378c3fc96b0b86e92d75d89cf26b

[ "MIT" ]

null

artap/algorithm_bayesopt.py

tamasorosz/artap

e8df160bfc9c378c3fc96b0b86e92d75d89cf26b

[ "MIT" ]

8

2021-03-11T18:23:47.000Z

2022-02-22T11:13:23.000Z

from .problem import Problem from .algorithm import Algorithm from .config import artap_root import time import numpy as np import os import sys sys.path.append(artap_root + os.sep + "lib" + os.sep) import bayesopt from multiprocessing import Process, Pipe, Queue, Manager # from multiprocessing.managers import Base...

31.611307

127

0.59099

1,064

8,946

4.81109

0.198308

0.041024

0.042196

0.034382

0.43993

0.383473

0.368236

0.352999

0.316273

0

0.006405

0.284485

8,946

283

128

31.611307

0.793314

0.110999

0

0.331395

0

0.143709

0.002914

0

1

0.116279

false

0.005814

0.052326

0.023256

0.238372

0.069767

0

null

0

null

0

1

0

0552a237d536bb49e4a74fe8039eabfd37370524

1,596

py

Python

main.py

WillyHHsu/rest

1adba475579cb2c0f9b8690b7f822c02b483146a

[ "MIT" ]

null

main.py

WillyHHsu/rest

1adba475579cb2c0f9b8690b7f822c02b483146a

[ "MIT" ]

null

main.py

WillyHHsu/rest

1adba475579cb2c0f9b8690b7f822c02b483146a

[ "MIT" ]

null

import os from fastapi import FastAPI from fastapi_sqlalchemy import DBSessionMiddleware from fastapi_sqlalchemy import db from dotenv import load_dotenv from sqlalchemy import schema from db import models as db_model from schemas import models as schema load_dotenv() POSTGRES_USER = os.getenv('POSTGRES_USER') POSTG...

29.555556

107

0.759398

211

1,596

5.545024

0.303318

0.082051

0.068376

0.041026

0.135897

0.066667

0

0.002869

0.126566

1,596

53

108

30.113208

0.836442

0

0.226817

0.102757

0

1

0.097561

false

0.04878

0.195122

0.04878

0.390244

0

null

0

null

0

1

0

05546175c9355e358802def95353b9059d638d79

866

py

Python

src/compas_blender/utilities/data.py

KEERTHANAUDAY/compas

4d1101cf302f95a4472a01a1265cc64eaec6aa4a

[ "MIT" ]

null

src/compas_blender/utilities/data.py

KEERTHANAUDAY/compas

4d1101cf302f95a4472a01a1265cc64eaec6aa4a

[ "MIT" ]

null

src/compas_blender/utilities/data.py

KEERTHANAUDAY/compas

4d1101cf302f95a4472a01a1265cc64eaec6aa4a

[ "MIT" ]

null

import bpy __all__ = [ "delete_all_data", ] def delete_all_data(): """Delete all collections, mesh and curve objects, meshes, curves, materials.""" for collection in bpy.data.collections: bpy.data.collections.remove(collection) for obj in bpy.data.objects: if obj.type == 'MESH': ...

27.0625

84

0.51963

93

866

4.666667

0.27957

0.177419

0.103687

0.092166

0.105991

0

0.202079

866

31

85

27.935484

0.628075

0.274827

0

0.1

0

0.051613

0

1

0.05

false

0.05

0

0.1

0

null

0

null

0

1

0

055668b6a61ba32a80522c93f3aa4dbcf035bb7b

2,335

py

Python

teams_to_tsv.py

FSU-ACM-OSSG/Contest-Server

f9aabd9742a6aa78cbefc685fd2760a1f83d7721

[ "MIT" ]

8

2019-01-13T21:57:53.000Z

2021-11-29T12:32:48.000Z

teams_to_tsv.py

FSU-ACM-OSSG/Contest-Server

f9aabd9742a6aa78cbefc685fd2760a1f83d7721

[ "MIT" ]

73

2018-02-13T00:58:39.000Z

2022-02-10T11:59:53.000Z

teams_to_tsv.py

FSU-ACM-OSSG/Contest-Server

f9aabd9742a6aa78cbefc685fd2760a1f83d7721

[ "MIT" ]

4

2018-02-08T18:56:54.000Z

2019-02-13T19:01:53.000Z

############## # team_to_tsv script # Creates two tsv files for importing into domjudge # Team info gets stored inside teams.tsv in the following format # <team_id(int)> <external_id> <category_id> <team_name> # Account info gets stored inside acccounts.tsv in the following format # team <team-name> <use...

36.484375

77

0.614561

330

2,335

4.272727

0.4

0.056738

0.059574

0.028369

0.177305

0.116312

0.066667

0

0.013411

0.265525

2,335

63

78

37.063492

0.808746

0.525054

0

0.142857

0

0.099057

0

1

0

false

0.035714

0

0.035714

0

null

0

null

0

1

0

055a29385d9e76d3a424d3a90ed95bbdc4015019

4,906

py

Python

cleverapi/clever_api.py

oncecreated/cleverapi

39b41860604a909d3e5262c1c795c0741570a653

[ "MIT" ]

13

2018-06-30T14:16:42.000Z

2020-03-04T20:23:47.000Z

cleverapi/clever_api.py

oncecreated/cleverapi

39b41860604a909d3e5262c1c795c0741570a653

[ "MIT" ]

11

2018-09-09T09:54:27.000Z

2019-04-15T13:40:19.000Z

cleverapi/clever_api.py

oncecreated/cleverapi

39b41860604a909d3e5262c1c795c0741570a653

[ "MIT" ]

14

2018-07-24T17:38:56.000Z

2020-03-04T20:24:12.000Z

import hashlib import json import uuid import requests import aiohttp from .exceptions import ApiResponseError from .action import Action class BaseCleverApi(): def __init__(self, access_token, version="5.73"): self.access_token = access_token self.api_version = version self.device_id = ...

28.858824

91

0.584183

580

4,906

4.75

0.244828

0.047187

0.07078

0.054446

0.422505

0.324138

0.311434

0.291833

0.272958

0.22069

0

0.013691

0.285365

4,906

169

92

29.029586

0.772105

0

0.319672

0

0.148797

0.043416

0

1

0.155738

false

0

0.057377

0.040984

0.377049

0

null

0

null

0

1

0

055ac96948dda92e22c15b66cc5f914681a2cae3

5,350

py

Python

blagging/views.py

androiddrew/blag-fork

249144c9a017581a6c5e387f5d86f33421d82ae3

[ "MIT" ]

null

blagging/views.py

androiddrew/blag-fork

249144c9a017581a6c5e387f5d86f33421d82ae3

[ "MIT" ]

7

2017-01-03T15:34:30.000Z

2017-07-13T15:27:08.000Z

blagging/views.py

androiddrew/blag-fork

249144c9a017581a6c5e387f5d86f33421d82ae3

[ "MIT" ]

null

from datetime import datetime as dt from flask import render_template, redirect, request, url_for, abort from flask_login import login_user, logout_user, login_required, current_user, login_url from . import app, db, login_manager from .models import Post, Tag, Author, tags as Post_Tag from .forms import LoginForm, Pos...

33.647799

119

0.65271

715

5,350

4.688112

0.197203

0.054296

0.071599

0.027446

0.318914

0.246718

0.170048

0.148568

0

0.010576

0.204673

5,350

158

120

33.860759

0.777203

0.049159

0

0.181034

0

0.082687

0.009541

0

1

0.155172

false

0.008621

0.051724

0.034483

0.387931

0

null

0

null

0

1

0

055cc455230997c5276c879e8d734a4e3c932b7e

1,652

py

Python

g13gui/g13/manager_tests.py

jtgans/g13gui

aa07ee91b0fd89eb8d9991291e11ca3a97ca11cc

[ "MIT" ]

3

2021-10-16T01:28:24.000Z

2021-12-07T21:49:54.000Z

g13gui/g13/manager_tests.py

jtgans/g13gui

aa07ee91b0fd89eb8d9991291e11ca3a97ca11cc

[ "MIT" ]

12

2021-05-09T16:57:18.000Z

2021-06-16T19:20:57.000Z

g13gui/g13/manager_tests.py

jtgans/g13gui

aa07ee91b0fd89eb8d9991291e11ca3a97ca11cc

[ "MIT" ]

null

#!/usr/bin/python import unittest import time import usb.util from g13gui.observer.observer import ObserverTestCase from g13gui.model.prefs import Preferences from g13gui.g13.manager import DeviceManager from g13gui.g13.manager import LCD_BUFFER_SIZE class DeviceManagerTests(ObserverTestCase): def setUp(self): ...

24.656716

65

0.598668

218

1,652

4.472477

0.270642

0.082051

0.055385

0.101538

0.427692

0.374359

0.286154

0

0.054608

0.290557

1,652

66

25.030303

0.777304

0.009685

0

0.195652

0

0.004893

0

0.004893

0

0.021739

1

0.108696

false

0

0.152174

0

0.282609

0

null

0

null

0

1

0

055df8a4d5bc728dd507e18c15a01996fcd7eeb9

754

py

Python

mpikat/utils/unix_socket.py

ewanbarr/mpikat

1c9a7376f9e79dfeec5a151d8f483d6fdf3e7cc9

[ "MIT" ]

2

2018-11-12T12:17:27.000Z

2019-02-08T15:44:14.000Z

mpikat/utils/unix_socket.py

ewanbarr/mpikat

1c9a7376f9e79dfeec5a151d8f483d6fdf3e7cc9

[ "MIT" ]

3

2018-08-03T12:05:20.000Z

2018-08-03T12:13:53.000Z

mpikat/utils/unix_socket.py

ewanbarr/mpikat

1c9a7376f9e79dfeec5a151d8f483d6fdf3e7cc9

[ "MIT" ]

4

2019-01-21T16:31:34.000Z

2019-12-03T09:27:15.000Z

import socket import logging log = logging.getLogger('mpikat.utils.unix_socket') class UDSClient(object): def __init__(self, socket_name): self._socket_name = socket_name self._sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) try: self._sock.connect(self._socket_name) ...

26.928571

78

0.635279

93

754

4.913978

0.419355

0.122538

0.078775

0

0.012456

0.254642

754

27

79

27.925926

0.800712

0

0.095238

0

0.092838

0.03183

0

1

0.190476

false

0

0.095238

0

0.380952

0

null

0

null

0

1

0

0560aa251cb9f57348aa3861ec51b4ed5e27e782

1,021

py

Python

mlearn/static/py/funcs.py

achandir/django-machine-learning-beta

9604953addee0c1bea90d308b4248a69d332f5a8

[ "BSD-3-Clause" ]

null

mlearn/static/py/funcs.py

achandir/django-machine-learning-beta

9604953addee0c1bea90d308b4248a69d332f5a8

[ "BSD-3-Clause" ]

null

mlearn/static/py/funcs.py

achandir/django-machine-learning-beta

9604953addee0c1bea90d308b4248a69d332f5a8

[ "BSD-3-Clause" ]

null

from django.core.files.storage import FileSystemStorage from django.conf import settings import os class OverwriteStorage(FileSystemStorage): def get_available_name(self, name, max_length=None): """ Returns a filename that's free on the target storage system, and available for new...

30.029412

84

0.539667

112

1,021

4.830357

0.616071

0.036969

0

0.369246

1,021

33

85

30.939394

0.840062

0.233105

0

0.010072

0

1

0.095238

false

0.047619

0.142857

0

0.428571

0

null

0

null

0

1

0

056594b9b59d36dfeef52d15b7455e3dcb8e0bf9

1,362

py

Python

federateme.py

elitest/federateme.py

887d27ddae814d7ed03fd7c993493d927d2492d5

[ "Unlicense" ]

null

federateme.py

elitest/federateme.py

887d27ddae814d7ed03fd7c993493d927d2492d5

[ "Unlicense" ]

null

federateme.py

elitest/federateme.py

887d27ddae814d7ed03fd7c993493d927d2492d5

[ "Unlicense" ]

1

2021-04-13T20:02:14.000Z

#!/usr/bin/env python3 import boto.utils, json, requests def detect_ec2(): try: r = requests.get('http://169.254.169.254/latest/meta-data/ami-id') print(r) # probably should check for something in the response here. return True except: return False def gen_link(): ...

41.272727

175

0.642438

162

1,362

5.339506

0.537037

0.09711

0.041619

0.069364

0.388439

0.277457

0

0.023297

0.180617

1,362

32

176

42.5625

0.751792

0.058003

0

0.440281

0

1

0.090909

false

0

0.045455

0

0.272727

0.136364

0

null

0

null

0

1

0

056746e5dbf852638494e8c736e9cb3208ccd43b

1,964

py

Python

recycler.py

LAION-AI/crawlingathome

43a477777fb403046d67224747cde1dac9f2094a

[ "MIT" ]

11

2021-06-02T03:46:52.000Z

2021-09-11T22:19:12.000Z

recycler.py

LAION-AI/crawlingathome

43a477777fb403046d67224747cde1dac9f2094a

[ "MIT" ]

9

2021-06-14T07:46:20.000Z

2021-08-28T22:50:46.000Z

recycler.py

LAION-AI/crawlingathome

43a477777fb403046d67224747cde1dac9f2094a

[ "MIT" ]

7

2021-06-01T11:59:36.000Z

2022-03-20T13:44:18.000Z

import numpy as np from requests import session from .core import CPUClient, GPUClient, HybridClient from .temp import TempCPUWorker from .errors import * # Dump a client's attributes into a dictionary so that it can be used remotely. def dump(c): try: return { "_type": c.type, "u...

35.709091

118

0.614562

282

1,964

4.159574

0.280142

0.047741

0.051151

0.043478

0.098039

0

0.007591

0.26222

1,964

54

119

36.37037

0.801932

0.098778

0

0.106395

0

1

0.044444

false

0

0.111111

0

0.2

0

null

0

null

0

1

0

0567803d049b2b08966e5134ef97c6b64fdfc130

1,921

py

Python

config.py

uncharted-distil/distil-auto-ml

244661942cff11617c81830d7f58a9f9b5c9499d

[ "Apache-2.0" ]

2

2019-06-20T23:32:10.000Z

2021-01-24T22:32:07.000Z

config.py

uncharted-distil/distil-auto-ml

244661942cff11617c81830d7f58a9f9b5c9499d

[ "Apache-2.0" ]

157

2019-04-09T18:40:42.000Z

2021-05-06T13:44:33.000Z

config.py

uncharted-distil/distil-auto-ml

244661942cff11617c81830d7f58a9f9b5c9499d

[ "Apache-2.0" ]

1

2019-07-12T22:17:46.000Z

import os DB_LOCATION = os.getenv("DB_URI", "test.db") # Debug flag to output more verbose logging # - defaults to False DEBUG = os.getenv("DEBUG", False) # Configurable output directory for saving machine learning model pickles # - defaults to ../output OUTPUT_DIR = os.getenv("OUTPUT_DIR", "output") # Port to make...

34.303571

85

0.753774

278

1,921

5.07554

0.464029

0.096386

0.038979

0.031184

0.024096

0

0.015634

0.134305

1,921

55

86

34.927273

0.832832

0.476835

0

0.296146

0.046653

0

1

0

false

0

0.052632

0

0.052632

0

null

0

null

0

1

0

0569e6f550e0e8fb6bd11e2714deff2f7f71997f

2,274

py

Python

common/settings.py

hehanlin/jobbole

46d5fa26cfa1ebd5c6c3621f615ffecbb4152fa9

[ "BSD-3-Clause" ]

2

2018-01-18T09:16:16.000Z

2022-02-12T08:59:23.000Z

common/settings.py

hehanlin/jobbole

46d5fa26cfa1ebd5c6c3621f615ffecbb4152fa9

[ "BSD-3-Clause" ]

null

common/settings.py

hehanlin/jobbole

46d5fa26cfa1ebd5c6c3621f615ffecbb4152fa9

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import os os_env = os.environ class Config(object): COMMON_PATH = os.path.abspath(os.path.dirname(__file__)) # This directory PROJECT_ROOT = os.path.abspath(os.path.join(COMMON_PATH, os.pardir)) DATABASE_URL = "postgresql://he:he@localhost:5432/jobbole" class CeleryConfig(obje...

30.72973

100

0.554969

226

2,274

5.40708

0.5

0.045008

0.036825

0.02455

0.297872

0.266776

0

0.038841

0.286719

2,274

73

101

31.150685

0.71455

0.08883

0

0.238095

0

0.015873

0.369238

0.113052

0

1

0

false

0

0.031746

0

0.238095

0

null

0

null

0

1

0

056ef751fabceeae1db74a620559c093e5b86dfa

10,935

py

Python

load-testing/locustfile.py

MaksimAniskov/aws-global-odoo

0f225a2f4ede3215264fd3d3912fa7b4e87d4a8f

[ "MIT" ]

null

load-testing/locustfile.py

MaksimAniskov/aws-global-odoo

0f225a2f4ede3215264fd3d3912fa7b4e87d4a8f

[ "MIT" ]

1

2022-01-26T08:58:34.000Z

load-testing/locustfile.py

MaksimAniskov/aws-global-odoo

0f225a2f4ede3215264fd3d3912fa7b4e87d4a8f

[ "MIT" ]

null

from locust import HttpUser, task, between import re import random import json import os class OdooUser: if os.environ.get('HOST'): host = os.environ.get('HOST') wait_time = between(20, 40) def on_start(self): response = self.client.get("/web/login") assert response.status_code =...

34.714286

102

0.438317

921

10,935

4.990228

0.205212

0.036554

0.031332

0.02785

0.396649

0.321149

0.304395

0.271758

0.256963

0.248695

0

0.016062

0.424966

10,935

314

103

34.824841

0.714854

0.007407

0

0.340351

0

0.227629

0.053636

0

0.003185

0.031579

1

0.017544

false

0.003509

0.021053

0

0.059649

0.003509

0

null

0

null

0

1

0

05702fee1b4a5bd092fcebf23643ddbeb574cdf2

939

py

Python

code/model/testSpeedPolar.py

PBarde/IBoatPIE

dd8038f981940b732be979b49e9b14102c3d4cca

[ "MIT" ]

1

2018-02-22T15:38:01.000Z

code/model/testSpeedPolar.py

PBarde/IBoatPIE

dd8038f981940b732be979b49e9b14102c3d4cca

[ "MIT" ]

null

code/model/testSpeedPolar.py

PBarde/IBoatPIE

dd8038f981940b732be979b49e9b14102c3d4cca

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 13 18:03:27 2017 @author: paul """ from SimulatorTLKT import Boat from SimulatorTLKT import FIT_VELOCITY import numpy as np import matplotlib import matplotlib.pyplot as plt from math import pi matplotlib.rcParams.update({'font.size': 22}) pOfS=...

25.378378

85

0.690096

154

939

4.155844

0.590909

0.009375

0.071875

0.025

0

0.045623

0.136315

939

36

86

26.083333

0.743527

0.246006

0

0.110632

0.063218

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

05705dae303e8a7ae7b9765283158fc78c1a5987

3,387

py

Python

src/mcxlib/usage_examples.py

carlashley/meecxprofile

1fe776b3f23dd9b224d87dd155cc1681cf13fb5e

[ "Apache-2.0" ]

2

2021-09-10T12:52:43.000Z

2021-09-10T15:38:29.000Z

src/mcxlib/usage_examples.py

carlashley/meecxprofile

1fe776b3f23dd9b224d87dd155cc1681cf13fb5e

[ "Apache-2.0" ]

null

src/mcxlib/usage_examples.py

carlashley/meecxprofile

1fe776b3f23dd9b224d87dd155cc1681cf13fb5e

[ "Apache-2.0" ]

null

from pprint import pformat ds_obj_mcx_note = ('The MCX data returned back from \'dscl\' is a string nested in the attribute queried.\n' 'Settings can be filtered by using key filters.\n' 'Multiple values can be filtered for specific domains by comma seperating the values\n' ...

91.540541

138

0.437851

281

3,387

5.096085

0.330961

0.089385

0.061453

0.03352

0.282821

0.243017

0.166201

0.120112

0

0.472394

3,387

36

139

94.083333

0.801343

0

0.0625

0

0.379392

0.10127

0

1

0

false

0

0.03125

0

0.03125

0

null

0

null

0

1

0

0571570e4ea6cc0ac98e3e348473a3292c2d2151

797

py

Python

program_param.py

duszek123/Example_Project

72e65ce5f31774c250cf388dbfb0a6d2a6b3ffeb

[ "MIT" ]

null

program_param.py

duszek123/Example_Project

72e65ce5f31774c250cf388dbfb0a6d2a6b3ffeb

[ "MIT" ]

null

program_param.py

duszek123/Example_Project

72e65ce5f31774c250cf388dbfb0a6d2a6b3ffeb

[ "MIT" ]

null

import torch import cv2 #data dir with train i validation picture data_dir = '/home/pawel/Pulpit/picture_data' #source video stream camera_source = '/dev/video2' #flag, false, not used save = False #input picture size (px) input_size = (224,224) size_pict = input_size[0] #part of the data from the database intended f...

24.151515

71

0.756587

130

797

4.515385

0.569231

0.074957

0

0.022255

0.154329

797

32

72

24.90625

0.848665

0.378921

0

0.161826

0.064315

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

0572b494de8de54123140e45c9c69a2ed0fbad3b

501

py

Python

models/fields/__init__.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

67

2021-12-02T05:53:44.000Z

2022-03-31T07:21:26.000Z

models/fields/__init__.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

13

2021-12-05T14:23:46.000Z

2022-03-25T21:07:20.000Z

models/fields/__init__.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

16

2022-01-11T11:48:24.000Z

2022-03-27T19:20:58.000Z

from .classifier import SpatialClassifier def get_field(config, num_classes, num_indicators, in_channels): if config.name == 'classifier': return SpatialClassifier( num_classes = num_classes, num_indicators = num_indicators, in_channels = in_channels, num_fi...

31.3125

68

0.628743

51

501

5.941176

0.490196

0.09901

0.128713

0.151815

0

0.293413

501

15

69

33.4

0.855932

0

0.053892

0

1

0.076923

false

0

0.076923

0

0.230769

0

null

0

null

0

1

0

0572d30a3c1b204b7741919022f74dedf09c6c6c

1,693

py

Python

get_data/__init__.py

BrunoASNascimento/inmet_api

ec663543b1f6a77900166df2e6bf64d1f26f910d

[ "MIT" ]

null

get_data/__init__.py

BrunoASNascimento/inmet_api

ec663543b1f6a77900166df2e6bf64d1f26f910d

[ "MIT" ]

null

get_data/__init__.py

BrunoASNascimento/inmet_api

ec663543b1f6a77900166df2e6bf64d1f26f910d

[ "MIT" ]

null

from datetime import datetime, timedelta import requests import pandas as pd def cleaner_data(data): columns = ['ESTACAO', 'LATITUDE', 'LONGITUDE', 'ALTITUDE', 'ANO', 'MES', 'DIA', 'HORA', 'TEMP', 'TMAX', 'TMIN', 'UR', 'URMAX', 'URMIN', 'TD', 'TDMAX', 'TDMIN', 'PRESSAONNM', 'PRESSAONNM_MAX', 'PRESS...

32.557692

151

0.559362

200

1,693

4.605

0.46

0.021716

0.032573

0.02823

0.247557

0

0.008026

0.264028

1,693

51

152

33.196078

0.73114

0.012995

0

0.244005

0

1

0.052632

false

0.026316

0.078947

0

0.157895

0.078947

0

null

0

null

0

1

0

057648a66341634f2bd91398e33248914e65d08f

435

py

Python

src/pynorare/cli_util.py

concepticon/pynorare

3cf5ea2d1597c5acc84963f781ff49d96b4d7e02

[ "MIT" ]

null

src/pynorare/cli_util.py

concepticon/pynorare

3cf5ea2d1597c5acc84963f781ff49d96b4d7e02

[ "MIT" ]

5

2020-07-20T11:05:07.000Z

2022-03-11T15:51:52.000Z

src/pynorare/cli_util.py

concepticon/pynorare

3cf5ea2d1597c5acc84963f781ff49d96b4d7e02

[ "MIT" ]

null

from pyconcepticon import Concepticon from pynorare.dataset import get_dataset_cls def add_datasets(parser): parser.add_argument( 'dataset', nargs='+', help='select your dataset', type=str) def iter_datasets(args): for dsid in args.dataset: cls = get_dataset_cls(args...

24.166667

81

0.691954

55

435

5.345455

0.545455

0.102041

0.088435

0

0.206897

435

17

82

25.588235

0.852174

0

0.062069

0

1

0.166667

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

057dcb0e3d38cc7460f6b046f1c4949c4d391cb9

2,478

py

Python

sktime/transformations/hierarchical/tests/test_aggregate.py

biologioholic/sktime

9d0391a04b11d22bd783b452f01aa5b4529b41a2

[ "BSD-3-Clause" ]

1

2021-12-22T02:45:39.000Z

sktime/transformations/hierarchical/tests/test_aggregate.py

biologioholic/sktime

9d0391a04b11d22bd783b452f01aa5b4529b41a2

[ "BSD-3-Clause" ]

null

sktime/transformations/hierarchical/tests/test_aggregate.py

biologioholic/sktime

9d0391a04b11d22bd783b452f01aa5b4529b41a2

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 -u # -*- coding: utf-8 -*- """Tests for hierarchical aggregator.""" # copyright: sktime developers, BSD-3-Clause License (see LICENSE file) __author__ = ["ciaran-g"] import pytest from sktime.transformations.hierarchical.aggregate import Aggregator from sktime.utils._testing.hierarchical impor...

33.486486

80

0.717514

341

2,478

5.014663

0.343109

0.023392

0.088889

0.050877

0.222807

0.162573

0.111111

0.074854

0

0.013561

0.196529

2,478

73

81

33.945205

0.845304

0.305892

0

0.205128

0

0.208283

0.012605

0

0.128205

1

0.051282

false

0

0.076923

0

0.128205

0

null

0

null

0

1

0

057e82bc7eee8bfd854f64e90c47dfe5089a763d

563

py

Python

doni/tests/unit/api/test_availability_window.py

ChameleonCloud/doni

e280a0fddf4ee7d2abb69ceed49a9728e88cf99b

[ "Apache-2.0" ]

null

doni/tests/unit/api/test_availability_window.py

ChameleonCloud/doni

e280a0fddf4ee7d2abb69ceed49a9728e88cf99b

[ "Apache-2.0" ]

49

2021-03-16T14:58:18.000Z

2022-03-14T22:06:36.000Z

doni/tests/unit/api/test_availability_window.py

ChameleonCloud/doni

e280a0fddf4ee7d2abb69ceed49a9728e88cf99b

[ "Apache-2.0" ]

null

from flask.testing import FlaskClient from doni.tests.unit import utils def test_list_availability_windows( mocker, user_auth_headers, client: "FlaskClient", database: "utils.DBFixtures" ): mock_authorize = mocker.patch("doni.api.availability_window.authorize") hw = database.add_hardware() res = clie...

29.631579

82

0.708703

68

563

5.661765

0.617647

0.041558

0.077922

0

0.008584

0.172291

563

18

83

31.277778

0.817597

0

0.225577

0.134991

0

0.2

1

0.066667

false

0

0.133333

0

0.2

0

null

0

null

0

1

0

057fec44c986714a8f02d47b39f9f891463a6252

848

py

Python

peuler_012_better.py

bayramcicek/mini-programs

3f876e3274b7beeb5e7413ac9c5275813d9f0d2d

[ "Unlicense" ]

null

peuler_012_better.py

bayramcicek/mini-programs

3f876e3274b7beeb5e7413ac9c5275813d9f0d2d

[ "Unlicense" ]

null

peuler_012_better.py

bayramcicek/mini-programs

3f876e3274b7beeb5e7413ac9c5275813d9f0d2d

[ "Unlicense" ]

null

#!/usr/bin/python3 import math class Solution: @staticmethod def number_of_factor(self): count = 0 if self == 1: return 1 for i in range(1, math.ceil(math.sqrt(self))): if self % i == 0: count += 2 if math.ceil(math.sqrt(self)) == math....

20.190476

69

0.5625

122

848

3.770492

0.344262

0.076087

0.078261

0.047826

0.13913

0

0.033784

0.301887

848

41

70

20.682927

0.743243

0.21934

0

1

0.043478

false

0

0.043478

0

0.217391

0.043478

0

null

0

null

0

1

0

05803580ad5cf536a86b26fbe2b79573b774b99b

9,253

py

Python

swyft/plot/plot.py

undark-lab/swyft

50aa524e2f3a2b3d1354543178ff72bc7f055a35

[ "MIT" ]

104

2020-11-26T09:46:03.000Z

2022-03-18T06:22:03.000Z

swyft/plot/plot.py

cweniger/swyft

2c0ed514622a37e8ec4e406b99a8327ecafb7ab4

[ "MIT" ]

83

2021-03-02T15:54:26.000Z

2022-03-10T08:09:05.000Z

swyft/plot/plot.py

undark-lab/swyft

50aa524e2f3a2b3d1354543178ff72bc7f055a35

[ "MIT" ]

10

2021-02-04T14:27:36.000Z

2022-03-31T17:39:34.000Z

import numpy as np import pylab as plt from scipy.integrate import simps def grid_interpolate_samples(x, y, bins=1000, return_norm=False): idx = np.argsort(x) x, y = x[idx], y[idx] x_grid = np.linspace(x[0], x[-1], bins) y_grid = np.interp(x_grid, x, y) norm = simps(y_grid, x_grid) y_grid_norm...

29.848387

88

0.514428

1,232

9,253

3.770292

0.196429

0.019376

0.013563

0.020667

0.391173

0.345748

0.295156

0.257912

0.213563

0.185145

0

0.025182

0.347671

9,253

309

89

29.944984

0.744367

0.152167

0

0.328947

0

0.018922

0

0.003236

0

1

0.026316

false

0.004386

0.013158

0

0.074561

0.004386

0

null

0

null

0

1

0

05819bbe1c0902e6600dadc33453e92046d7a1ff

3,038

py

Python

control-gastos/python/main.py

manuelduarte077/Ejercicios-con-Python-NodeJS

d7b26fdeeb1640272847274b99b2f607145d58a4

[ "MIT" ]

1

2021-07-13T18:43:59.000Z

control-gastos/python/main.py

manuelduarte077/Ejercicios-con-Python-NodeJS

d7b26fdeeb1640272847274b99b2f607145d58a4

[ "MIT" ]

null

control-gastos/python/main.py

manuelduarte077/Ejercicios-con-Python-NodeJS

d7b26fdeeb1640272847274b99b2f607145d58a4

[ "MIT" ]

null

import os from tabulate import tabulate import requests def iniciar(): os.system('cls') while True: print('Seleccione una opción: ') print('\t1. Registrar movimiento') print('\t2. Ver todos los movimientos') print('\t3. Buscar un movimiento') print('\t4. Modificar un mo...

31

79

0.600066

347

3,038

5.201729

0.26513

0.07313

0.046537

0.055402

0.515235

0.470914

0.40554

0.263712

0.193906

0

0.016949

0.262014

3,038

97

80

31.319588

0.788136

0

0.289157

0

0.301185

0

1

0.072289

false

0

0.036145

0

0.108434

0.156627

0

null

0

null

0

1

0

05826df3789ad47bc005b4bcd34765514c7e2fd2

409

py

Python

examples/idioms/programs/016.1530-depth-first-traversing-of-a-binary-tree.py

laowantong/paroxython

4626798a60eeaa765dbfab9e63e04030c9fcb1d0

[ "MIT" ]

31

2020-05-02T13:34:26.000Z

2021-06-06T17:25:52.000Z

examples/idioms/programs/016.1530-depth-first-traversing-of-a-binary-tree.py

laowantong/paroxython

4626798a60eeaa765dbfab9e63e04030c9fcb1d0

[ "MIT" ]

108

2019-11-18T19:41:52.000Z

2022-03-18T13:58:17.000Z

examples/idioms/programs/016.1530-depth-first-traversing-of-a-binary-tree.py

laowantong/paroxython

4626798a60eeaa765dbfab9e63e04030c9fcb1d0

[ "MIT" ]

4

2020-05-19T08:57:44.000Z

2020-09-21T08:53:46.000Z

"""Depth-first traversing of a binary tree. Call a function _f on every node of binary tree _bt, in depth-first infix order Source: programming-idioms.org """ # Implementation author: TinyFawks # Created on 2016-02-18T08:50:27.130406Z # Last modified on 2016-02-18T09:16:52.625429Z # Version 2 # Recursive DFS. def...

18.590909

79

0.694377

67

409

4.208955

0.716418

0.053191

0.056738

0

0.125767

0.202934

409

21

80

19.47619

0.739264

0.723716

0

1

0.166667

false

0

0.333333

0

null

0

null

0

1

0

05830297f5e87cadfedcaa83499c7c9b2affb118

3,746

py

Python

ServeRest-APITesting-Python/Tests/test_cart.py

barbosamp/automacao-api-rest-jornada-learning

9ceb57bc6f4d845c35a149d760775c10c3a38614

[ "MIT" ]

2

2020-11-20T18:40:32.000Z

2021-04-20T23:13:13.000Z

ServeRest-APITesting-Python/Tests/test_cart.py

barbosamp/automacao-api-rest-jornada-learning

9ceb57bc6f4d845c35a149d760775c10c3a38614

[ "MIT" ]

1

2020-10-22T16:16:40.000Z

ServeRest-APITesting-Python/Tests/test_cart.py

kpedron/automacao-api-rest-jornada-learning

50ceaf9f43b03383cc65e92460b6b9a398a88e02

[ "MIT" ]

2

2020-10-16T02:37:20.000Z

2020-10-31T13:54:46.000Z

import unittest import requests import json import pytest BASE_URL = "https://api.serverest.dev" class Products(unittest.TestCase): def setUp(self): # Do authentication # Cart endpoint requires authentication full_url = BASE_URL + "/login" body = { "email": "fulano@qa...

32.017094

108

0.591564

406

3,746

5.317734

0.278325

0.045391

0.095878

0.045391

0.609541

0.579435

0.566929

0.53358

0.51598

0.432145

0

0.012901

0.317138

3,746

116

109

32.293103

0.831118

0.12173

0

0.351351

0

0.200672

0.007941

0

0.121622

1

0.081081

false

0.013514

0.054054

0

0.148649

0

null

0

null

0

1

0