xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

b6670f5cb5c8d632fc48bea8d155de2c30d4d414

1,014

py

Python

tests/test_geometry.py

Zepmanbc/cps_workflow

0926a01c3ef1f163b43edcdae84cc77a1842f3b0

[ "MIT" ]

35

2019-07-03T16:45:47.000Z

2022-03-31T16:08:35.000Z

tests/test_geometry.py

Zepmanbc/cps_workflow

0926a01c3ef1f163b43edcdae84cc77a1842f3b0

[ "MIT" ]

42

2019-07-03T17:12:34.000Z

2022-03-17T12:46:40.000Z

tests/test_geometry.py

Zepmanbc/cps_workflow

0926a01c3ef1f163b43edcdae84cc77a1842f3b0

[ "MIT" ]

null

"""Geometry testing.""" import creopyson from .fixtures import mk_creoson_post_dict, mk_creoson_post_None, mk_getactivefile def test_geometry_bound_box(mk_creoson_post_dict, mk_getactivefile): """Test bound_box.""" c = creopyson.Client() result = c.geometry_bound_box(file_="file") assert isinstance(re...

32.709677

82

0.719921

132

1,014

5.181818

0.212121

0.061404

0.131579

0.099415

0.630117

0.489766

0.444444

0.266082

0.152047

0

0.00927

0.148915

1,014

30

83

33.8

0.783314

0.067061

0

0.45

0

0.021622

0

0.3

1

0.15

false

0

0.1

0

0.25

0

null

0

null

0

1

0

b667207fcb57bd4ec887cd84ed8d9aa150c17bab

356

py

Python

answers/Ananya Chandra/day4/question1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

22

2021-03-16T14:07:47.000Z

2021-08-13T08:52:50.000Z

answers/Ananya Chandra/day4/question1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

174

2021-03-16T21:16:40.000Z

2021-06-12T05:19:51.000Z

answers/Ananya Chandra/day4/question1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

135

2021-03-16T16:47:12.000Z

2021-06-27T14:22:38.000Z

#print prime factorisation of a number n= int(input("enter the number \n")) def prime(t, j): if(j<t): if(t%j!=0): return prime(t, j=j + 1) else: return 0 else: return 1 i=2 while(n>1): if (prime(i, 2) == 1): while n % i == 0: print(i, ","...

17.8

38

0.429775

58

356

2.637931

0.396552

0.039216

0.091503

0

0.046729

0.398876

356

19

39

18.736842

0.668224

0.103933

0

0.125

0

0.062893

0

1

0.0625

false

0

0.25

0.0625

0

null

0

null

0

1

0

b66835431fc34e47226d3889e3140fdd215f8887

1,865

py

Python

awx/main/tests/functional/api/test_project.py

gitEdouble/awx

5885654405ccaf465f08df4db998a6dafebd9b4d

[ "Apache-2.0" ]

2

2018-11-12T18:52:24.000Z

2020-05-22T18:41:21.000Z

awx/main/tests/functional/api/test_project.py

gitEdouble/awx

5885654405ccaf465f08df4db998a6dafebd9b4d

[ "Apache-2.0" ]

4

2022-02-15T01:33:35.000Z

2022-03-02T12:47:41.000Z

awx/main/tests/functional/api/test_project.py

gitEdouble/awx

5885654405ccaf465f08df4db998a6dafebd9b4d

[ "Apache-2.0" ]

9

2019-05-11T00:03:30.000Z

2021-07-07T16:09:17.000Z

import os from backports.tempfile import TemporaryDirectory from django.conf import settings import pytest from awx.api.versioning import reverse @pytest.mark.django_db class TestInsightsCredential: def test_insights_credential(self, patch, insights_project, admin_user, insights_credential): patch(insig...

39.680851

97

0.716354

241

1,865

5.323651

0.282158

0.112237

0.049883

0.056118

0.590023

0.441933

0.357755

0.307872

0.144193

0.110678

0

0.009536

0.156568

1,865

46

98

40.543478

0.806103

0

0.257143

0

0.131903

0

0.085714

1

0.142857

false

0

0.142857

0

0.314286

0

null

0

null

0

1

0

b6688604687d78d27bb9bf2999491a71b429148b

761

py

Python

download codigo fontes/PythonExercicios/ex058.py

tidesjunior2018/Exercicios-da-linguagem-pyhton

82bb9e7a121ce9fcb12591615120dd9f3a493555

[ "MIT" ]

null

download codigo fontes/PythonExercicios/ex058.py

tidesjunior2018/Exercicios-da-linguagem-pyhton

82bb9e7a121ce9fcb12591615120dd9f3a493555

[ "MIT" ]

null

download codigo fontes/PythonExercicios/ex058.py

tidesjunior2018/Exercicios-da-linguagem-pyhton

82bb9e7a121ce9fcb12591615120dd9f3a493555

[ "MIT" ]

1

2021-03-13T18:26:50.000Z

''' 58-Melhore o jogo do desafio 028 onde o computador vai "pensar" em um numero entre 0 e 10.Só que agora vai tentar advinhar até acertar mostrando no final quantos palpites foram necessários até vencer. ''' import random palpite=0 print('\033[33m{:=^40}'.format('JOGO DA ADVINHAÇÂO 2.0')) print('\033[m') numerosortead...

29.269231

76

0.68594

110

761

4.745455

0.627273

0.114943

0.02682

0.034483

0

0.046129

0.202365

761

25

77

30.44

0.813839

0.262812

0

0.280289

0

1

0

false

0

0.055556

0

0.055556

0.333333

0

null

0

null

0

1

0

b66b180fc94b3f3077d165f9eba30fc51374504c

20,727

py

Python

main.py

HeloiseKatharine/Analise-de-dados

e05e337c0ef03ef68815aa684bdf4466226e02cb

[ "MIT" ]

null

main.py

HeloiseKatharine/Analise-de-dados

e05e337c0ef03ef68815aa684bdf4466226e02cb

[ "MIT" ]

null

main.py

HeloiseKatharine/Analise-de-dados

e05e337c0ef03ef68815aa684bdf4466226e02cb

[ "MIT" ]

null

import pandas as pd import matplotlib.pyplot as plt from IPython.display import display from pymongo import MongoClient def get_database(): from pymongo import MongoClient CONNECTION_STRING = "#" from pymongo import MongoClient client = MongoClient(CONNECTION_STRING) #conexão com o cliente ret...

58.716714

331

0.726444

2,819

20,727

5.184108

0.181979

0.022923

0.02395

0.037635

0.548241

0.523402

0.495415

0.455522

0.415287

0.372041

0

0.023087

0.157813

20,727

352

332

58.883523

0.814104

0.200174

0

0.230047

0

0.046948

0.493564

0.124459

0

0.002841

0

1

0.065728

false

0

0.028169

0

0.098592

0.093897

0

null

0

null

0

1

0

b66d2d5519a0ef3b8c25d34eaafb9a51b73e5edc

2,235

py

Python

utils/preprocess_word_embedding.py

JiaqiYao/dynamic_multi_label

dae8b34349f6da80e962fefd5349a29a0f5630f1

[ "MIT" ]

2

2020-11-29T07:09:29.000Z

2020-12-22T07:40:24.000Z

utils/preprocess_word_embedding.py

JiaqiYao/dynamic_multi_label

dae8b34349f6da80e962fefd5349a29a0f5630f1

[ "MIT" ]

null

utils/preprocess_word_embedding.py

JiaqiYao/dynamic_multi_label

dae8b34349f6da80e962fefd5349a29a0f5630f1

[ "MIT" ]

null

import os import json from tqdm import tqdm def build_vocabulary(data_dir): with open(os.path.join(data_dir, 'train_texts.txt'), 'rt') as fin: train_texts = json.load(fin) print("train text cuts load done") with open(os.path.join(data_dir, "Telegram", 'train_key_words.dat'), 'rb') as fin:...

39.910714

103

0.632215

305

2,235

4.42623

0.259016

0.036296

0.044444

0.062222

0.257037

0.203704

0.138519

0.048889

0

0.013095

0.248322

2,235

55

104

40.636364

0.790476

0

0.041667

0

0.19229

0.055989

0

1

0.041667

false

0

0.0625

0

0.104167

0.1875

0

null

0

null

0

1

0

b66d60f785036a36c6d1ed53d8206d68665248c2

2,797

py

Python

stories.py

grantat/news-similarity-core

278399bb215954510fa265ba4bc5b28f7f02e1ee

[ "MIT" ]

null

stories.py

grantat/news-similarity-core

278399bb215954510fa265ba4bc5b28f7f02e1ee

[ "MIT" ]

null

stories.py

grantat/news-similarity-core

278399bb215954510fa265ba4bc5b28f7f02e1ee

[ "MIT" ]

null

import requests import json import hashlib import os import argparse def load_links(filename): with open(filename) as f: data = json.load(f) return data def get_story(session, uri): """ Get mementos for html using Internet Archive """ try: print(uri) r = session.get(uri,...

34.530864

79

0.505899

302

2,797

4.539735

0.377483

0.023341

0.032093

0.032823

0.062728

0

0.013411

0.386843

2,797

80

34.9625

0.786006

0.076153

0

0.032258

0

0.144134

0.035742

0

1

0.032258

false

0

0.080645

0

0.16129

0.145161

0

null

0

null

0

1

0

b66d7aa9b11fd773a698acfd6bb25cc487a20615

3,564

py

Python

python/downsample_images_in_rosbag.py

JzHuai0108/vio_common

2d9c5fce761034cb4e55b3395d259ce392da8ee6

[ "BSD-3-Clause" ]

16

2017-06-02T07:22:31.000Z

2022-03-23T02:39:39.000Z

python/downsample_images_in_rosbag.py

JzHuai0108/vio_common

2d9c5fce761034cb4e55b3395d259ce392da8ee6

[ "BSD-3-Clause" ]

2

2020-08-10T04:01:35.000Z

2021-01-18T08:21:17.000Z

python/downsample_images_in_rosbag.py

JzHuai0108/vio_common

2d9c5fce761034cb4e55b3395d259ce392da8ee6

[ "BSD-3-Clause" ]

19

2017-08-03T02:23:11.000Z

2021-09-22T02:17:46.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import os import argparse import rosbag import rospy from cv_bridge import CvBridge import cv2 import play_images_in_rosbag def decide_output_encoding(cv_img): """ For 16UC1 input image, we need to use mono16 as output enc...

33.942857

84

0.623457

471

3,564

4.494692

0.314225

0.036372

0.033066

0.025508

0.16958

0.144544

0.085026

0

0.021714

0.263468

3,564

104

85

34.269231

0.784762

0.076038

0

0.103896

0

0.192945

0.019939

0

0.001227

0

1

0.025974

false

0.025974

0.103896

0

0.142857

0.116883

0

null

0

null

0

1

0

b66e79df977dcaa16a976367fddaca5f9d45f186

1,770

py

Python

gen_dataset.py

mantydze/knapsack-problem-py

15caf65c8abde693f04eae0291933fa426aad1d9

[ "MIT" ]

null

gen_dataset.py

mantydze/knapsack-problem-py

15caf65c8abde693f04eae0291933fa426aad1d9

[ "MIT" ]

null

gen_dataset.py

mantydze/knapsack-problem-py

15caf65c8abde693f04eae0291933fa426aad1d9

[ "MIT" ]

null

import json import random import sys import time sys.setrecursionlimit(2500) memo = {} def ks(capacity_left, n): """ capacity_left(int): remaining storage capacity of a bag n(int): current item position """ if n == -1 or capacity_left == 0: # No more items to add return 0 ...

21.851852

82

0.564407

227

1,770

4.334802

0.38326

0.121951

0.066057

0.045732

0.079268

0

0.027823

0.309605

1,770

81

83

21.851852

0.777414

0.210169

0

0.040816

0

0.051357

0

1

0.020408

false

0

0.081633

0

0.183673

0.102041

0

null

0

null

0

1

0

b66f2f7d9d9618cebbca9ca3940382b757594d51

15,629

py

Python

Juris_Cam.py

eugeniu1994/Stereo-Camera-LiDAR-calibration

54eec1b911f78ca6b66c35803c47d016b7069499

[ "Unlicense" ]

6

2021-06-02T03:42:11.000Z

2022-02-17T12:30:00.000Z

Juris_Cam.py

eugeniu1994/Stereo-Camera-LiDAR-calibration

54eec1b911f78ca6b66c35803c47d016b7069499

[ "Unlicense" ]

1

2021-06-09T07:16:09.000Z

Juris_Cam.py

eugeniu1994/Stereo-Camera-LiDAR-calibration

54eec1b911f78ca6b66c35803c47d016b7069499

[ "Unlicense" ]

1

2021-08-13T05:20:19.000Z

''' CONFIDENTIAL Copyright (c) 2021 Eugeniu Vezeteu, Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland (NLS) PERMISSION IS HEREBY LIMITED TO FGI'S INTERNAL USE ONLY. THE CODE MAY BE RE-LICENSED, SHARED, OR TAKEN INTO...

44.274788

134

0.550259

1,950

15,629

4.236923

0.161538

0.012709

0.018155

0.017429

0.298959

0.230816

0.183733

0.144275

0.10046

0.088356

0

0.032379

0.318255

15,629

352

135

44.400568

0.743031

0.173524

0

0.15311

0

0.072117

0.004552

0

1

0.038278

false

0

0.023923

0

0.086124

0.129187

0

null

0

null

0

1

0

b6726617c09fe5e7abbd64cdec30ed1653450f24

4,851

py

Python

process_design.py

Multiscale-Genomics/C-HiC

65e189acc79f5420a276a2f7fd740cb2a3ae8e27

[ "Apache-2.0" ]

null

process_design.py

Multiscale-Genomics/C-HiC

65e189acc79f5420a276a2f7fd740cb2a3ae8e27

[ "Apache-2.0" ]

1

2018-09-06T12:27:49.000Z

process_design.py

Multiscale-Genomics/CHi-C

65e189acc79f5420a276a2f7fd740cb2a3ae8e27

[ "Apache-2.0" ]

1

2021-01-28T23:44:37.000Z

#!/usr/bin/env python """ .. See the NOTICE file distributed with this work for additional information regarding copyright ownership. 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 ...

29.760736

76

0.59328

525

4,851

5.36

0.384762

0.027363

0.012793

0.029851

0.084932

0.024876

0

0.002351

0.298495

4,851

162

77

29.944444

0.824567

0.37518

0

0.046154

0

0.161027

0

1

0.046154

false

0

0.107692

0

0.2

0.076923

0

null

0

null

0

1

0

b6746a5b4942abdb9bcb80fa96fed7162930c929

5,136

py

Python

em2/utils/web_push.py

samuelcolvin/em2

a587eaa80c09a2b44d9c221d09a563aad5b05d78

[ "MIT" ]

5

2019-03-20T19:07:45.000Z

2020-10-03T01:16:05.000Z

em2/utils/web_push.py

samuelcolvin/em2

a587eaa80c09a2b44d9c221d09a563aad5b05d78

[ "MIT" ]

51

2019-03-12T16:19:46.000Z

2021-03-09T00:52:24.000Z

em2/utils/web_push.py

samuelcolvin/em2

a587eaa80c09a2b44d9c221d09a563aad5b05d78

[ "MIT" ]

1

2019-05-31T14:41:18.000Z

import asyncio import base64 import hashlib import logging import re import time from typing import Optional import http_ece import ujson from aiohttp import ClientSession from arq import ArqRedis from atoolbox import JsonErrors, RequestError from cryptography.hazmat.backends import default_backend from cryptography.h...

33.350649

112

0.672702

681

5,136

4.9163

0.325991

0.030466

0.013142

0.016726

0.135603

0.096774

0.077061

0.061529

0.037037

0

0.014353

0.213201

5,136

153

113

33.568627

0.814155

0.067757

0

0.035398

0

0.059455

0.005151

0

1

0.035398

false

0

0.168142

0.026549

0.318584

0

null

0

null

0

1

0

b677bba2bd9632d1c8e6d24dee8f3549fac2379b

14,928

py

Python

wrapper/utils.py

DaWeSearch/backend

809e575ed730fce55d0e89a2fbc2031ba116f5e0

[ "MIT" ]

1

2021-02-15T01:05:22.000Z

wrapper/utils.py

DaWeSearch/backend

809e575ed730fce55d0e89a2fbc2031ba116f5e0

[ "MIT" ]

null

wrapper/utils.py

DaWeSearch/backend

809e575ed730fce55d0e89a2fbc2031ba116f5e0

[ "MIT" ]

null

"""Helper functions useful for all wrapper classes.""" import re from typing import Callable, Optional, Union from urllib.parse import quote_plus from requests import exceptions, Response from .output_format import OUTPUT_FORMAT def get(nest: Union[dict, list, str], *args, default=None): """Get a value in a nes...

37.507538

97

0.579448

1,830

14,928

4.669945

0.319672

0.012637

0.007021

0.009829

0.100281

0.068804

0.063187

0.04938

0.026445

0

0.003778

0.273044

14,928

398

98

37.507538

0.783727

0.351755

0

0.097436

0

0.234145

0

1

0.05641

false

0

0.025641

0

0.169231

0

null

0

null

0

1

0

b6795fc3685731a886d5d284ea5740aaa1d445a0

1,179

py

Python

serverdensity/proxy/runserver.py

serverdensity/sd-proxy

3726b391e0e40258a3e58004568c9737898f4b01

[ "BSD-2-Clause-FreeBSD" ]

1

2016-08-12T17:49:23.000Z

serverdensity/proxy/runserver.py

serverdensity/sd-proxy

3726b391e0e40258a3e58004568c9737898f4b01

[ "BSD-2-Clause-FreeBSD" ]

null

serverdensity/proxy/runserver.py

serverdensity/sd-proxy

3726b391e0e40258a3e58004568c9737898f4b01

[ "BSD-2-Clause-FreeBSD" ]

null

"""Main WSGI server runner for sd-proxy """ import os import logging from sys import argv, path, stderr, exit from gevent.wsgi import WSGIServer class VersionedWSGIServer(WSGIServer): def __init__(self, server_version, *args, **kwargs): self.base_env['SERVER_SOFTWARE'] = server_version super(Ver...

24.061224

79

0.679389

155

1,179

4.96129

0.425806

0.036411

0.050715

0.039012

0.050715

0

0.009504

0.196777

1,179

48

80

24.5625

0.802534

0.030534

0

0.106514

0

1

0.103448

false

0

0.206897

0

0.413793

0.034483

0

null

0

null

0

1

0

b679e07e4853c1ac8702e21a433f7100a58636c7

1,553

py

Python

dblp/python/citations.py

DocSeven/spark

a88330f554a4afc70696dac8d00bcf4d2f512acf

[ "Apache-2.0" ]

null

dblp/python/citations.py

DocSeven/spark

a88330f554a4afc70696dac8d00bcf4d2f512acf

[ "Apache-2.0" ]

null

dblp/python/citations.py

DocSeven/spark

a88330f554a4afc70696dac8d00bcf4d2f512acf

[ "Apache-2.0" ]

1

2019-11-06T11:29:31.000Z

import citationsCommon def countByIdAndYear(rdd): docsplit = rdd.flatMap(lambda row: [('{}.{}'.format(ref, row[2]), 1) for ref in row[1]]) return docsplit.reduceByKey(lambda c, d: c + d) def joinIdYearAge(idYearCount, ddpairs): # idYear: id, year cited idYear = idYearCount.map(lambda row: ...

41.972973

86

0.666452

198

1,553

5.227273

0.40404

0.030918

0.024155

0.030918

0.129469

0.054106

0

0.023734

0.186091

1,553

36

87

43.138889

0.795095

0.221507

0

0.045075

0

1

0.190476

false

0

0.047619

0

0.428571

0

null

0

null

0

1

0

b67a5113b21316f83812bfead9269a89744903e8

8,727

py

Python

src/ext/cstruct.py

X-EcutiOnner/fileobj

7e4120759450bbdd1eee4ec26c8a757a8af48093

[ "BSD-2-Clause" ]

17

2015-05-23T11:09:46.000Z

2021-12-10T14:28:01.000Z

src/ext/cstruct.py

X-EcutiOnner/fileobj

7e4120759450bbdd1eee4ec26c8a757a8af48093

[ "BSD-2-Clause" ]

3

2015-03-23T04:35:25.000Z

2017-09-15T07:12:15.000Z

src/ext/cstruct.py

X-EcutiOnner/fileobj

7e4120759450bbdd1eee4ec26c8a757a8af48093

[ "BSD-2-Clause" ]

2

2016-01-07T00:38:13.000Z

2020-12-02T08:27:28.000Z

# Copyright (c) 2009, Tomohiro Kusumi # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of conditions and...

31.619565

81

0.569153

1,230

8,727

3.857724

0.229268

0.013909

0.010116

0.011802

0.214963

0.148577

0.134247

0.074183

0.053952

0

0.013489

0.303426

8,727

275

82

31.734545

0.767067

0.184141

0

0.214953

0

0.073818

0.009033

0

0.009346

1

0.130841

false

0.004673

0.056075

0.046729

0.313084

0

null

0

null

0

1

0

b67bd574fe892b817e3e205848dedd222bd9824b

1,493

py

Python

agent/nets/GraphConvNet.py

JosepLeder/RL-Graph-Matching

5ea6b3beaf2a2f8d3739f64e7172a566d59d5468

[ "MIT" ]

null

agent/nets/GraphConvNet.py

JosepLeder/RL-Graph-Matching

5ea6b3beaf2a2f8d3739f64e7172a566d59d5468

[ "MIT" ]

null

agent/nets/GraphConvNet.py

JosepLeder/RL-Graph-Matching

5ea6b3beaf2a2f8d3739f64e7172a566d59d5468

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from torch_scatter import scatter_mean from torch.nn import Linear, ReLU from torch_geometric.nn import GraphConv class GraphConvNet(nn.Module): def __init__(self, n_feat, n_hid, n_out): super(GraphConvNet).__init__() self.conv1 =...

28.169811

100

0.636303

228

1,493

3.960526

0.232456

0.060908

0.055371

0.0299

0.145072

0.06866

0

0.034483

0.242465

1,493

52

101

28.711538

0.763926

0

0.057143

0

1

0.114286

false

0

0.171429

0

0.4

0

null

0

null

0

1

0

b67e4db8f00b585b7a13ade5c1abf4013518f113

7,437

py

Python

skoleintra/__init__.py

jona799t/skoleintra-api

b6a73aa50b53415aba7aa2249c45771b931992a9

[ "Apache-2.0" ]

null

skoleintra/__init__.py

jona799t/skoleintra-api

b6a73aa50b53415aba7aa2249c45771b931992a9

[ "Apache-2.0" ]

null

skoleintra/__init__.py

jona799t/skoleintra-api

b6a73aa50b53415aba7aa2249c45771b931992a9

[ "Apache-2.0" ]

null

import json import httpx import requests import urllib import ssl from urllib3 import poolmanager from bs4 import BeautifulSoup from unilogin import Unilogin class TLSAdapter(requests.adapters.HTTPAdapter): #https://stackoverflow.com/questions/61631955/python-requests-ssl-error-during-requests def init_poolmanager...

67.609091

450

0.671238

856

7,437

5.785047

0.242991

0.042205

0.052504

0.039984

0.576333

0.52706

0.480412

0.452544

0

0.024204

0.155573

7,437

110

451

67.609091

0.764331

0.024338

0

0.26087

0

0.195652

0.506897

0.336966

0

1

0.032609

false

0

0.086957

0

0.163043

0

null

0

null

0

1

0

b67e8c2b0c5ddd808117b7d17c7cf6d08076154f

1,433

py

Python

commands/leaderboad.py

classAndrew/valor

b68a72b76c111e22d8df8d56a2923185f057fc2a

[ "MIT" ]

null

commands/leaderboad.py

classAndrew/valor

b68a72b76c111e22d8df8d56a2923185f057fc2a

[ "MIT" ]

null

commands/leaderboad.py

classAndrew/valor

b68a72b76c111e22d8df8d56a2923185f057fc2a

[ "MIT" ]

1

2021-11-28T00:45:25.000Z

from valor import Valor from discord.ext.commands import Context from util import ErrorEmbed, LongTextEmbed, LongFieldEmbed, guild_name_from_tag import random from datetime import datetime import requests from sql import ValorSQL from commands.common import get_uuid, from_uuid async def _register_leaderboard(valor: Va...

37.710526

227

0.667132

198

1,433

4.717172

0.414141

0.034261

0.03212

0.055675

0.205567

0.156317

0

0.019678

0.219819

1,433

38

228

37.710526

0.815742

0

0.071429

0

0.035714

0.188982

0.043933

0.035714

0

0.009763

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

b6810fce8cb140c6eacc9841d12f9fa404ed0bac

3,388

py

Python

game/alfa_beta.py

YuseqYaseq/gry-kombinatoryczne

15e5d857cdbc6ec447c0028a90c4354ba25fc553

[ "MIT" ]

2

2020-04-26T16:57:37.000Z

2020-04-26T16:57:40.000Z

game/alfa_beta.py

YuseqYaseq/gry-kombinatoryczne

15e5d857cdbc6ec447c0028a90c4354ba25fc553

[ "MIT" ]

null

game/alfa_beta.py

YuseqYaseq/gry-kombinatoryczne

15e5d857cdbc6ec447c0028a90c4354ba25fc553

[ "MIT" ]

null

from game.sequence import Sequence max_value = 999888777666555 class AlfaBeta: def __init__(self, values, state, k, player, enemy, max_deepth = None): self.values = values self.state = state self.k = k self.player = player self.enemy = enemy if max_deepth is None:...

30.8

88

0.563164

406

3,388

4.517241

0.142857

0.113413

0.054526

0.035987

0.47928

0.302617

0.268811

0.20229

0

0.013618

0.349764

3,388

109

89

31.082569

0.818883

0

0.285714

0

0.002066

0

1

0.119048

false

0

0.011905

0.02381

0.321429

0

null

0

null

0

1

0

b68116a66a4de7ee10965623e6d1922379799cea

4,620

py

Python

app.py

j33mk/randomnews

705ecde11f8097a8348a9abae384bd09031cb2ca

[ "Apache-2.0" ]

null

app.py

j33mk/randomnews

705ecde11f8097a8348a9abae384bd09031cb2ca

[ "Apache-2.0" ]

null

app.py

j33mk/randomnews

705ecde11f8097a8348a9abae384bd09031cb2ca

[ "Apache-2.0" ]

null

#----------------------------------------------------------------------------# # Imports #----------------------------------------------------------------------------# from flask import Flask, render_template, request,jsonify import random # from flask.ext.sqlalchemy import SQLAlchemy import logging from logging impor...

32.083333

88

0.5671

521

4,620

4.950096

0.493282

0.027142

0.03102

0.019387

0.107794

0.055836

0

0.009814

0.183983

4,620

143

89

32.307692

0.674271

0.20303

0

0.123457

0

0.012346

0.431868

0.033196

0

1

0.061728

false

0

0.08642

0.037037

0.209877

0

null

0

null

0

1

0

b6833905716414b7fc7d6f77dff5aa4d0c6d4d14

9,836

py

Python

scripts/dfuse-pack.py

qiuchengxuan/rs-flight

66a09afe4e24f8b49c6445f9048172e46e6a0f03

[ "MIT" ]

1

2020-09-01T08:49:24.000Z

scripts/dfuse-pack.py

qiuchengxuan/rs-flight

66a09afe4e24f8b49c6445f9048172e46e6a0f03

[ "MIT" ]

null

scripts/dfuse-pack.py

qiuchengxuan/rs-flight

66a09afe4e24f8b49c6445f9048172e46e6a0f03

[ "MIT" ]

null

#!/usr/bin/env python3 # Written by Antonio Galea - 2010/11/18 # Distributed under Gnu LGPL 3.0 # see http://www.gnu.org/licenses/lgpl-3.0.txt import binascii import os import struct import sys import zlib from optparse import OptionParser try: from intelhex import IntelHex except ImportError: IntelHex = Non...

35.25448

122

0.51281

1,118

9,836

4.480322

0.208408

0.018167

0.020763

0.03354

0.291875

0.248153

0.23318

0.204432

0

0.029746

0.347194

9,836

278

123

35.381295

0.75035

0.013725

0

0.3

0

0.028

0.214396

0.016912

0

0.0099

0

1

0.028

false

0

0.032

0.012

0.08

0.1

0

null

0

null

0

1

0

b6857c3a9f8eac380eda21da26fac71984173300

12,313

py

Python

AI.py

alexrockhill/chess

63d6691912c14ff4c2b0bf4ad9e73a17edec2f70

[ "MIT" ]

null

AI.py

alexrockhill/chess

63d6691912c14ff4c2b0bf4ad9e73a17edec2f70

[ "MIT" ]

null

AI.py

alexrockhill/chess

63d6691912c14ff4c2b0bf4ad9e73a17edec2f70

[ "MIT" ]

null

import numpy as np import os import os.path as op import matplotlib.pyplot as plt import pickle from tqdm import tqdm from Board import Board from func import opposite_color, loc2int, int2color, is_last_rank LETTERS = [chr(i) for i in range(65, 65+26)] BOARD_DIM = 8 N_PIECES = 6 MAX_MOVES = 100 def logistic(x): ret...

34.013812

103

0.70925

1,880

12,313

4.465426

0.128191

0.030137

0.0324

0.010721

0.359619

0.293985

0.231805

0.186182

0.14592

0.131983

0

0.013933

0.154796

12,313

361

104

34.108033

0.792736

0.023715

0

0.202703

0

0.036365

0

1

0.128378

false

0.003378

0.027027

0.006757

0.243243

0.006757

0

null

0

null

0

1

0

b686d0afc43a520dbac2ae42822b469d33f9f3d0

4,901

py

Python

python/caffe/custom_layers/adaptive_weighting_loss_layer.py

asmorkalov/training_toolbox_caffe

08716d344da7d78cb7ede4646467c15e86852ae7

[ "Apache-2.0" ]

null

python/caffe/custom_layers/adaptive_weighting_loss_layer.py

asmorkalov/training_toolbox_caffe

08716d344da7d78cb7ede4646467c15e86852ae7

[ "Apache-2.0" ]

null

python/caffe/custom_layers/adaptive_weighting_loss_layer.py

asmorkalov/training_toolbox_caffe

08716d344da7d78cb7ede4646467c15e86852ae7

[ "Apache-2.0" ]

null

""" Copyright (c) 2018 Intel Corporation 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 writin...

34.758865

106

0.598653

619

4,901

4.589661

0.240711

0.071806

0.026399

0.036959

0.250616

0.229145

0.159099

0.121084

0.090109

0

0.013454

0.302387

4,901

140

107

35.007143

0.81749

0.243828

0

0.271429

0

0.052557

0.022159

0

0.071429

1

0.085714

false

0.028571

0.057143

0

0.157143

0

null

0

null

0

1

0

b6871d09585056a5b2254aec8a95efcb0fbeee1d

1,843

py

Python

src/cgr_gwas_qc/cluster_profiles/biowulf/status.py

Monia234/NCI-GwasQc

9e3ca52085c891e1d4d7972e5337c4a1888f992c

[ "MIT" ]

null

src/cgr_gwas_qc/cluster_profiles/biowulf/status.py

Monia234/NCI-GwasQc

9e3ca52085c891e1d4d7972e5337c4a1888f992c

[ "MIT" ]

43

2021-03-02T04:10:01.000Z

2022-03-16T20:26:55.000Z

src/cgr_gwas_qc/cluster_profiles/biowulf/status.py

Monia234/NCI-GwasQc

9e3ca52085c891e1d4d7972e5337c4a1888f992c

[ "MIT" ]

2

2021-03-02T12:27:00.000Z

2021-12-16T03:22:20.000Z

#!/usr/bin/env python3 import logging import re import shlex import subprocess as sp import sys import time from typing import Optional logger = logging.getLogger("__name__") logger.setLevel(40) MAX_STATUS_ATTEMPTS = 20 STATUS_CODES = { "BOOT_FAIL": "failed", "CANCELLED": "failed", "COMPLETED": "success"...

24.573333

98

0.62344

243

1,843

4.534979

0.395062

0.045372

0.021779

0.027223

0.284936

0.23775

0.096189

0

0.007003

0.225176

1,843

74

99

24.905405

0.764706

0.011394

0

0.169492

0

0.200439

0

1

0.050847

false

0

0.118644

0

0.254237

0.016949

0

null

0

null

0

1

0

b687fc10ba01cb9f0419af4e607ce6c85279c90f

49,769

py

Python

editor.py

azagoruyko/rigBuilder

bd744704d3fee1ab7cd85a08c735e6bf044fd27e

[ "Apache-2.0" ]

2

2022-03-20T03:13:24.000Z

2022-03-20T03:14:11.000Z

editor.py

azagoruyko/rigBuilder

bd744704d3fee1ab7cd85a08c735e6bf044fd27e

[ "Apache-2.0" ]

null

editor.py

azagoruyko/rigBuilder

bd744704d3fee1ab7cd85a08c735e6bf044fd27e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from Qt.QtGui import * from Qt.QtCore import * from Qt.QtWidgets import * import re def clamp(mn, mx, val): if val < mn: return mn elif val > mx: return mx else: return val def highlightLine(widget, line=-1, clear=False): if line == -1: block =...

34.489951

169

0.578553

4,665

49,769

6.138907

0.126688

0.009253

0.011453

0.007717

0.370312

0.297158

0.250995

0.200293

0.180355

0.157483

0

0.01154

0.305311

49,769

1,443

170

34.489951

0.816741

0.030159

0

0.40965

0

0.000946

0.022831

0.002391

0

0.000946

1

0.053926

false

0.002838

0.00473

0.001892

0.093661

0.000946

0

null

0

null

0

1

0

b68866458224b910c1e4822374a14bdc98c7fe27

5,523

py

Python

research/Issue2/purifier/text_extractor.py

johnklee/ff_crawler

53b056bd94ccf55388d12c7f70460d280964f45f

[ "MIT" ]

null

research/Issue2/purifier/text_extractor.py

johnklee/ff_crawler

53b056bd94ccf55388d12c7f70460d280964f45f

[ "MIT" ]

4

2021-04-09T02:05:42.000Z

2021-07-04T07:42:15.000Z

research/Issue2/purifier/text_extractor.py

johnklee/ff_crawler

53b056bd94ccf55388d12c7f70460d280964f45f

[ "MIT" ]

null

#!/usr/bin/python3 import sys import importlib import os import inspect from importlib import util as importlib_util from .logb import getLogger # from .pdf2text import simple_fact as pdf_sfact from .html2text import simple_fact as html_sfact from .plain2text import simple_fact as pln_sfact ##########################...

43.833333

162

0.570704

658

5,523

4.607903

0.267477

0.032982

0.022427

0.019789

0.190633

0.134894

0.076847

0.046834

0

0.003083

0.295311

5,523

125

163

44.184

0.775951

0.1673

0

0.148649

0

0.08434

0

1

0.040541

false

0

0.135135

0

0.310811

0

null

0

null

0

1

0

b68b69b099d27f3f50d04d0c00314efb72f42971

21,664

py

Python

tests/util.py

wayneweiqiang/GaMMA

8dcc94088e462d386e10fa7c9a2be06d646ba825

[ "MIT" ]

9

2021-11-15T10:13:05.000Z

2022-03-03T13:41:46.000Z

tests/util.py

wayneweiqiang/GaMMA

8dcc94088e462d386e10fa7c9a2be06d646ba825

[ "MIT" ]

null

tests/util.py

wayneweiqiang/GaMMA

8dcc94088e462d386e10fa7c9a2be06d646ba825

[ "MIT" ]

1

2021-11-25T05:33:11.000Z

import os from datetime import datetime import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch from tqdm import tqdm from collections import defaultdict # import fire timestamp = lambda dt: (dt - datetime(2019, 1, 1)).total_seconds() ## ridgecrest class Config: degree2km = np.pi * ...

34.332805

175

0.565962

2,885

21,664

4.10364

0.125477

0.011825

0.022806

0.024833

0.629614

0.586029

0.550722

0.523186

0.515584

0.50511

0

0.038654

0.252446

21,664

630

176

34.387302

0.692374

0.086088

0

0.428279

0

0.008197

0.102242

0.004932

0

1

0.030738

false

0

0.016393

0

0.077869

0.002049

0

null

0

null

0

1

0

b68c42c88331b8f4284ebd3949497dbb9ed4959f

869

py

Python

datasetinsights/constants.py

86sanj/datasetinsights

8b34c434fc841ccb20f3ad06985f82dfe3829d02

[ "Apache-2.0" ]

null

datasetinsights/constants.py

86sanj/datasetinsights

8b34c434fc841ccb20f3ad06985f82dfe3829d02

[ "Apache-2.0" ]

null

datasetinsights/constants.py

86sanj/datasetinsights

8b34c434fc841ccb20f3ad06985f82dfe3829d02

[ "Apache-2.0" ]

null

import os from datetime import datetime TIMESTAMP_SUFFIX = datetime.now().strftime("%Y%m%d-%H%M%S") PROJECT_ROOT = os.path.dirname(os.path.dirname(__file__)) GCS_BASE_STR = "gs://" HTTP_URL_BASE_STR = "http://" HTTPS_URL_BASE_STR = "https://" LOCAL_FILE_BASE_STR = "file://" NULL_STRING = "None" DEFAULT_DATA_ROOT = ...

27.15625

59

0.734177

121

869

4.975207

0.661157

0.046512

0.043189

0

0.028871

0.12313

869

31

60

28.032258

0.761155

0.150748

0

0.337875

0.079019

0

1

0

false

0

0.095238

0

0.095238

0

null

0

null

0

1

0

b68d1dbf0c5ca4f1cf1c2b340f13d2c57fe8602c

7,829

py

Python

server.py

danielemoro/PeepsFinder

423e95526900aa6c932306a9670c06e41189e27b

[ "Apache-2.0" ]

2

2019-07-17T22:04:25.000Z

2021-03-03T17:41:07.000Z

server.py

danielemoro/PeepsFinder

423e95526900aa6c932306a9670c06e41189e27b

[ "Apache-2.0" ]

19

2019-12-26T17:23:33.000Z

2022-03-21T22:19:06.000Z

server.py

danielemoro/PeepsFinder

423e95526900aa6c932306a9670c06e41189e27b

[ "Apache-2.0" ]

null

# IMPORTANT: Change these file paths to be in the same repository as the webs server running Peeps. # You can find the Peeps web server repository here: https://github.com/danielemoro/peeps/tree/peeps_finder input_file = "D:/Google Drive/BSU/BSU 2018 Fall/CS401/website/peeps_finder_in.txt" output_file = "D:/Google Driv...

36.584112

120

0.609401

1,103

7,829

4.194923

0.24388

0.033067

0.009077

0.027015

0.229738

0.177005

0.160147

0.128161

0.109574

0.08861

0

0.014763

0.247286

7,829

213

121

36.755869

0.770406

0.059522

0

0.184049

0

0.006135

0.193908

0.01047

0

1

0.067485

false

0

0.079755

0.006135

0.202454

0.171779

0

null

0

null

0

1

0

b68d3ffb40a4006bf5b8a5543641f9a3020929bc

6,497

py

Python

python/oak/vio_record.py

SpectacularAI/sdk-examples

70840f7a68d9536ce473c4d20e224ecfa90284ce

[ "Apache-2.0" ]

18

2021-11-02T09:32:11.000Z

2022-03-29T17:04:32.000Z

python/oak/vio_record.py

SpectacularAI/sdk-examples

70840f7a68d9536ce473c4d20e224ecfa90284ce

[ "Apache-2.0" ]

4

2021-11-02T05:19:11.000Z

2022-03-28T08:53:27.000Z

python/oak/vio_record.py

SpectacularAI/sdk-examples

70840f7a68d9536ce473c4d20e224ecfa90284ce

[ "Apache-2.0" ]

2

2022-02-25T14:28:45.000Z

2022-03-05T14:14:55.000Z

""" Record data for later playback Requirements: ffmpeg must be installed. On Linux you can install it with package manager of your choise. For example with ap-get: sudo apt-get install ffmpeg yuM: sudo yum install ffmpeg On Windows, you must download and install it from https://w...

36.094444

126

0.687548

811

6,497

5.405672

0.360049

0.008212

0.024635

0.025547

0.188412

0.158531

0.093066

0.066606

0.045164

0

0.010547

0.211944

6,497

179

127

36.296089

0.845703

0.1827

0

0.139344

0

0.141265

0

1

0.02459

false

0.008197

0.090164

0

0.122951

0.04918

0

null

0

null

0

1

0

b68e1a9a9505bdaff392741746a2cc8527c4f6b6

311

py

Python

src/fileIOTest.py

justinsmits/dlm

39281701f4512cfc34dede0141d83b7cd8e247f4

[ "MIT" ]

null

src/fileIOTest.py

justinsmits/dlm

39281701f4512cfc34dede0141d83b7cd8e247f4

[ "MIT" ]

null

src/fileIOTest.py

justinsmits/dlm

39281701f4512cfc34dede0141d83b7cd8e247f4

[ "MIT" ]

null

import os def fileTest(): dir_path = os.path.dirname(os.path.realpath(__file__)) print(dir_path) data_path = os.path.join(dir_path, '../FileTest/data.txt') print(data_path) file = open(data_path, 'r') for line in file: print(line) if __name__ == '__main__': fileTest()

20.733333

62

0.633441

44

311

4.068182

0.477273

0.117318

0.111732

0

0.221865

311

15

63

20.733333

0.739669

0

0.092949

0

1

0.090909

false

0

0.090909

0

0.181818

0.272727

0

null

0

null

0

1

0

b6908e28349ce2d7d9f38b20eac30f1523c0d324

501

py

Python

OSGI/predictive-python/python model/test.py

davinder2385/iot-edge-samples

e6667947440f3eb0781ab4fe22281f4c1d79f376

[ "Apache-2.0" ]

7

2019-12-03T10:05:31.000Z

2021-01-21T19:05:55.000Z

OSGI/predictive-python/python model/test.py

davinder2385/iot-edge-samples

e6667947440f3eb0781ab4fe22281f4c1d79f376

[ "Apache-2.0" ]

8

2020-01-08T08:03:21.000Z

2020-09-04T18:25:56.000Z

OSGI/predictive-python/python model/test.py

davinder2385/iot-edge-samples

e6667947440f3eb0781ab4fe22281f4c1d79f376

[ "Apache-2.0" ]

11

2021-06-16T15:48:33.000Z

2022-02-13T13:05:52.000Z

import json import os.path import time # Third-party libraries import zmq context = zmq.Context() socket = context.socket(zmq.REQ) socket.connect("tcp://localhost:5555") socket.send(b"hello") message = socket.recv() print(message) while True: # Wait for next request from client jsonStr = '{"measures":{"R"...

20.875

59

0.666667

71

501

4.704225

0.661972

0.05988

0.101796

0.131737

0

0.036058

0.169661

501

24

60

20.875

0.766827

0.143713

0

0.125

0

0.0625

0.21831

0.053991

0

1

0

false

0

0.25

0

0.25

0.125

0

null

0

null

0

1

0

b692e177fac102ebbcfa5f07692d3af8e28cb595

2,172

py

Python

source/group.py

AaronDavidSchneider/CyclingDinner

40521e7ffe4d11b91cca59733f3768ebf456b1af

[ "MIT" ]

null

source/group.py

AaronDavidSchneider/CyclingDinner

40521e7ffe4d11b91cca59733f3768ebf456b1af

[ "MIT" ]

null

source/group.py

AaronDavidSchneider/CyclingDinner

40521e7ffe4d11b91cca59733f3768ebf456b1af

[ "MIT" ]

null

from source.couple import couple import numpy as np import requests import json import source.config as c import googlemaps from geopy.distance import geodesic import itertools gd = {"H":1,"V":0, "N":2} gd_inv = {1:"H",0:"V", 2:"N"} # CONVERT TIMES TO POSIX TIME from datetime import timezone, datetime, timedelta dinne...

34.47619

160

0.587017

315

2,172

3.95873

0.320635

0.070569

0.060144

0.076183

0.179631

0.142743

0.113873

0

0.018239

0.267956

2,172

62

161

35.032258

0.766038

0.032228

0

0.111111

0

0.053034

0

1

0.074074

false

0

0.166667

0

0.314815

0.018519

0

null

0

null

0

1

0

b69435cd91d1a650c1244efbc456a6f87305ba23

8,616

py

Python

text_importer/importers/olive/parsers.py

aflueckiger/impresso-text-acquisition

ed8f0586ed6a4f7de94b1504b292570bce1f51c5

[ "MIT" ]

null

text_importer/importers/olive/parsers.py

aflueckiger/impresso-text-acquisition

ed8f0586ed6a4f7de94b1504b292570bce1f51c5

[ "MIT" ]

null

text_importer/importers/olive/parsers.py

aflueckiger/impresso-text-acquisition

ed8f0586ed6a4f7de94b1504b292570bce1f51c5

[ "MIT" ]

null

"""Functions to parse Olive XML data.""" import codecs import copy import re from typing import List, Optional from bs4 import BeautifulSoup from impresso_commons.path.path_fs import canonical_path, IssueDir from text_importer.importers.olive.helpers import (normalize_language, ...

31.217391

102

0.515901

1,008

8,616

4.297619

0.250992

0.022853

0.012465

0.007387

0.141043

0.104109

0.10157

0.087719

0

0.003374

0.346448

8,616

275

103

31.330909

0.765939

0.196147

0

0.113772

0

0.117547

0.010531

0

0.017964

1

0.023952

false

0

0.041916

0

0.095808

0

null

0

null

0

1

0

b69613a7512da774d1b23dd4f974de878107a0bc

550

py

Python

comsetformat.py

paqs2020/paqs2020

28377f3e0aa3d3dd2885baf2b339ae3228c68192

[ "MIT" ]

1

2021-07-29T10:47:52.000Z

comsetformat.py

paqs2020/paqs2020

28377f3e0aa3d3dd2885baf2b339ae3228c68192

[ "MIT" ]

1

2021-07-29T11:04:47.000Z

comsetformat.py

paqs2020/paqs2020

28377f3e0aa3d3dd2885baf2b339ae3228c68192

[ "MIT" ]

2

2021-05-06T18:33:01.000Z

2021-08-01T10:21:46.000Z

import pickle databox = "/nfs/projects/paqs/qadatasetAstudy" source = pickle.load(open(databox + "/val.pkl","rb")) questions = databox + "/output/ques.val" answers = databox + "/output/ans.val" fqes = open(questions, 'w') fans = open(answers, 'w') for fid, value in source.items(): for sid, sentence in value.ite...

25

73

0.587273

75

550

4.306667

0.493333

0.102167

0.043344

0.049536

0.173375

0

0.2

550

21

74

26.190476

0.734091

0

0.216758

0.061931

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

b697d352270f4d5af09a28c0d438435fc0bb409c

15,849

py

Python

app.py

ruianfrp/Yolov3

8449b37e0ee5bffeacea555036ca52e3b4ae1531

[ "MIT" ]

2

2020-04-04T08:53:25.000Z

2020-06-14T09:13:39.000Z

app.py

ruianfrp/Yolov3

8449b37e0ee5bffeacea555036ca52e3b4ae1531

[ "MIT" ]

null

app.py

ruianfrp/Yolov3

8449b37e0ee5bffeacea555036ca52e3b4ae1531

[ "MIT" ]

null

import keras from PIL import Image from flask import Flask, request, jsonify from flask_cors import CORS from itsdangerous import Serializer from concurrent.futures import ThreadPoolExecutor from flask_apscheduler import APScheduler import token_authorization import AesCipher import mysql import functools from yolo ...

34.37961

109

0.546659

1,711

15,849

4.934541

0.150205

0.053299

0.094635

0.082554

0.513443

0.443207

0.3982

0.360535

0.336373

0.326898

0

0.021198

0.300524

15,849

460

110

34.454348

0.740393

0.015585

0

0.408629

0

0.149608

0.004495

0

1

0.043147

false

0.017767

0.030457

0

0.203046

0.002538

0

null

0

null

0

1

0

b6980fb0608d22d689e43b123d9af449a3000f0b

1,350

py

Python

1d_unconstrained_optimization/golden_section_algorithm.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

null

1d_unconstrained_optimization/golden_section_algorithm.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

1

2021-06-02T10:07:26.000Z

2021-06-03T10:23:46.000Z

1d_unconstrained_optimization/golden_section_algorithm.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

null

""" golden_section_algorithm.py Returns the reduced uncertainty interval containing the minimizer of the function func - anonimous function interval0 - initial uncertainty interval N_iter - number of iterations """ import math import numpy as np def golden_section_algorithm_calc_N_iter(interval0, uncertainty_range_d...

27

100

0.56963

179

1,350

4.005587

0.301676

0.112971

0.027894

0.07113

0.171548

0.149233

0

0.022002

0.326667

1,350

49

101

27.55102

0.766777

0.153333

0

0.193548

0

0.003524

0

1

0.064516

false

0

0.064516

0

0.193548

0

null

0

null

0

1

0

b699c359961ff4c5fe1e7486390fb0c95dd99241

1,132

py

Python

constants.py

JNPRAutomate/unicast2multicast-translator

d400d71745eec8f5ae7933be54a5505460173dea

[ "MIT" ]

3

2021-09-30T18:07:54.000Z

2021-10-03T01:48:17.000Z

constants.py

JNPRAutomate/unicast2multicast-translator

d400d71745eec8f5ae7933be54a5505460173dea

[ "MIT" ]

1

2021-09-20T21:08:51.000Z

constants.py

JNPRAutomate/unicast2multicast-translator

d400d71745eec8f5ae7933be54a5505460173dea

[ "MIT" ]

null

import ipaddress # =============================================== DEFAULT CONFIGURATION ================================================ # Default port to bind the translator's unicast server socket to. DEFAULT_UNICAST_SRV_PORT = 9001 # Default address space to pick multicast destination addresses (groups) from for t...

62.888889

120

0.659011

133

1,132

5.518797

0.518797

0.020436

0.036785

0.118529

0.333787

0.243869

0.147139

0

0.017875

0.110424

1,132

17

121

66.588235

0.711023

0.732332

0

0.232082

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

b69b9ca24f2fb2208c924db77c7c45f56668f4d1

19,059

py

Python

src/Tools/CodeGenerator/Plugins/SharedLibraryPluginImpl/VectorTypeInfo.py

Bhaskers-Blu-Org2/FeaturizersLibrary

229ae38ea233bfb02a6ff92ec3a67c1751c58005

[ "MIT" ]

15

2019-12-14T07:54:18.000Z

2021-03-14T14:53:28.000Z

src/Tools/CodeGenerator/Plugins/SharedLibraryPluginImpl/VectorTypeInfo.py

Bhaskers-Blu-Org2/FeaturizersLibrary

229ae38ea233bfb02a6ff92ec3a67c1751c58005

[ "MIT" ]

30

2019-12-03T20:58:56.000Z

2020-04-21T23:34:39.000Z

src/Tools/CodeGenerator/Plugins/SharedLibraryPluginImpl/VectorTypeInfo.py

microsoft/FeaturizersLibrary

229ae38ea233bfb02a6ff92ec3a67c1751c58005

[ "MIT" ]

13

2020-01-23T00:18:47.000Z

2021-10-04T17:46:45.000Z

# ---------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License # ---------------------------------------------------------------------- """Contains the VectorTypeInfo object""" import os import re import text...

38.659229

153

0.4389

1,460

19,059

5.500685

0.14589

0.019176

0.011207

0.016187

0.359233

0.263977

0.224505

0.190138

0.175819

0.104844

0

0.003434

0.404061

19,059

492

154

38.737805

0.703645

0.103153

0

0.423529

0

0.070156

0.018462

0

0.002033

0.032353

1

0.020588

false

0

0.023529

0

0.073529

0

null

0

null

0

1

0

b6a1c2ab8cd5b17863bf873dabf0a5085e350658

2,492

py

Python

reque.py

parserpp/ppppppppppp

a1c1ef1d252e7cf652e90465649483b728bf9839

[ "MIT" ]

null

reque.py

parserpp/ppppppppppp

a1c1ef1d252e7cf652e90465649483b728bf9839

[ "MIT" ]

null

reque.py

parserpp/ppppppppppp

a1c1ef1d252e7cf652e90465649483b728bf9839

[ "MIT" ]

null

import time import requests import urllib3 from lxml import etree from requests.models import Response from requests.packages.urllib3.exceptions import InsecureRequestWarning urllib3.disable_warnings() requests.packages.urllib3.disable_warnings() requests.packages.urllib3.disable_warnings(InsecureRequestWarning) fro...

28

97

0.532905

249

2,492

5.232932

0.369478

0.073676

0.039908

0.058327

0.1934

0.175748

0.069071

0

0.016026

0.373997

2,492

88

98

28.318182

0.819231

0.111958

0

0.28125

0

0.036933

0

1

0.09375

false

0

0.109375

0

0.390625

0

null

0

null

0

1

0

b6a456d569704179a69c2734a46c283edcb8c45d

1,306

py

Python

spellvardetection/webapi/resources.py

fab-bar/SpellvarDetection

624f472f9eec9636650bace9c091ba1fe9cda313

[ "MIT" ]

1

2019-11-08T08:02:21.000Z

spellvardetection/webapi/resources.py

fab-bar/SpellvarDetection

624f472f9eec9636650bace9c091ba1fe9cda313

[ "MIT" ]

null

spellvardetection/webapi/resources.py

fab-bar/SpellvarDetection

624f472f9eec9636650bace9c091ba1fe9cda313

[ "MIT" ]

null

import os import shutil import click from flask import current_app from flask.cli import AppGroup ### CLI for management of additional resources res_cli = AppGroup('resources', short_help='Manage additional resources used by SpellvarDetection.') @res_cli.command('list') def list_resources(): "List existing reso...

27.787234

102

0.683767

172

1,306

5.075581

0.354651

0.057274

0.07331

0.114548

0.339061

0.272623

0.16953

0.080183

0

0.18683

1,306

46

103

28.391304

0.822034

0.079632

0

0.371429

0

0.240476

0

1

0.114286

false

0

0.142857

0

0.257143

0.057143

0

null

0

null

0

1

0

b6acc8f967fad42f11b205b325094dc3299810f3

1,759

py

Python

ocr-server/ocr_server/lines.py

twerkmeister/table-annotator

11bce00f28411a1ad047ba673d3e713060076943

[ "MIT" ]

null

ocr-server/ocr_server/lines.py

twerkmeister/table-annotator

11bce00f28411a1ad047ba673d3e713060076943

[ "MIT" ]

null

ocr-server/ocr_server/lines.py

twerkmeister/table-annotator

11bce00f28411a1ad047ba673d3e713060076943

[ "MIT" ]

null

from typing import List import numpy as np import cv2 import scipy.signal def find_line(image: np.ndarray, window_size: int = 30) -> np.ndarray: """Extracts a single line from the image""" image_inverted = cv2.bitwise_not(image) image_as_column = np.sum(image_inverted, axis=1) window_values = [np.su...

36.645833

83

0.699261

259

1,759

4.505792

0.297297

0.071979

0.044559

0.046272

0.173093

0.140531

0

0.019149

0.198408

1,759

47

84

37.425532

0.808511

0.046617

0

0.002401

0

1

0.057143

false

0

0.114286

0

0.228571

0

null

0

null

0

1

0

b6ae1b0f0d22088c98982c121eae8e4affeac754

4,406

py

Python

model.py

shaldev/java-builder-generator

22c47067a058d6708910c869e41e1cfd66da9435

[ "MIT" ]

null

model.py

shaldev/java-builder-generator

22c47067a058d6708910c869e41e1cfd66da9435

[ "MIT" ]

null

model.py

shaldev/java-builder-generator

22c47067a058d6708910c869e41e1cfd66da9435

[ "MIT" ]

null

package = 'org.bonadza.openrtb' model = { 'bidResponse' : { 'id' : 'str', 'seatbid': [{ 'bid' : [{ 'id' : 'str', 'impid' : 'str', 'price' : 'float', 'adid' : 'str', 'nurl' : 'str', 'adm' : 'str', 'adomain' : 'str[]', 'bundle' : 'str', 'iurl' : 'str', 'cid' : 'str', 'c...

19.073593

31

0.385611

396

4,406

4.287879

0.373737

0.084806

0.053004

0.04947

0.138987

0.062426

0

0.003322

0.316841

4,406

231

32

19.073593

0.560797

0.004085

0

0.401747

0

0.397082

0

1

0

false

0

null

0

null

0

1

0

b6b0d58640e8ab5ad641a791c0e3af73049572b4

760

py

Python

scripts/preprocess_glsl.py

Pandinosaurus/geojs

c38b3c91a597db84bbc74c2c915bb525a82aedc1

[ "Apache-2.0" ]

365

2015-01-28T12:07:22.000Z

2022-03-27T14:17:10.000Z

scripts/preprocess_glsl.py

Pandinosaurus/geojs

c38b3c91a597db84bbc74c2c915bb525a82aedc1

[ "Apache-2.0" ]

699

2015-01-05T21:22:40.000Z

2022-03-30T15:58:55.000Z

scripts/preprocess_glsl.py

manthey/geojs

9f36165133f07c8fb08102e0b3459369a052f6a3

[ "Apache-2.0" ]

74

2015-02-23T14:08:13.000Z

2022-03-17T23:37:05.000Z

#!/usr/bin/env python3 import argparse import os import re import sys def readSource(source): data = open(source).read() parts = re.split('(\\$[-.\\w]+)', data) for idx, chunk in enumerate(parts): if chunk.startswith('$') and len(chunk) > 1: parts[idx] = readSource(os.path.join(os.pat...

29.230769

95

0.651316

100

760

4.85

0.63

0.028866

0

0.004951

0.202632

760

25

96

30.4

0.79538

0.027632

0

0.227642

0

1

0.052632

false

0

0.210526

0

0.315789

0

null

0

null

0

1

0

b6b0f5fa7387a72c8d23e89c64d1524c5f61c96b

286

py

Python

test/task_1/fixtures/__init__.py

Quinlys/-Yakymiv_Igor--tasks

4992ca5fd050ed35f060b5b22ed05133be5c1d5a

[ "MIT" ]

2

2018-06-15T08:06:09.000Z

2018-06-24T12:28:07.000Z

test/task_1/fixtures/__init__.py

Quinlys/-Yakymiv_Igor--tasks

4992ca5fd050ed35f060b5b22ed05133be5c1d5a

[ "MIT" ]

null

test/task_1/fixtures/__init__.py

Quinlys/-Yakymiv_Igor--tasks

4992ca5fd050ed35f060b5b22ed05133be5c1d5a

[ "MIT" ]

1

2018-06-15T14:41:23.000Z

import os import json _location = os.path.realpath( os.path.join(os.getcwd(), os.path.dirname(__file__))) with open(os.path.join(_location, 'small.json')) as f: fixtures = json.load(f) with open(os.path.join(_location, '1000.json')) as f: fixtures['1000'] = json.load(f)

23.833333

57

0.681818

46

286

4.086957

0.391304

0.159574

0.148936

0.276596

0

0.03252

0.13986

286

11

58

26

0.731707

0

0.08042

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

b6b2392dc515104106ac7e7d4892cd8bdc2834dc

4,102

py

Python

views.py

rajeev/lifeflow

b1de2a7b5b8a89042c1440b3e38092ef1241b9ca

[ "MIT" ]

2

2015-11-24T08:51:46.000Z

2016-05-08T10:24:42.000Z

views.py

rajeev/lifeflow

b1de2a7b5b8a89042c1440b3e38092ef1241b9ca

[ "MIT" ]

null

views.py

rajeev/lifeflow

b1de2a7b5b8a89042c1440b3e38092ef1241b9ca

[ "MIT" ]

null

""" Views.py Author: Will Larson Contact: lethain@gmail.com Contains one custom view for displaying articles. Mostly necessary to presort the articles in order of descending size. """ import datetime, time, random, cgi, md5 from django.template import RequestContext from django.shortcuts import render_to_response f...

32.555556

114

0.638957

512

4,102

5.015625

0.292969

0.047118

0.043614

0.051402

0.242212

0.136293

0.075545

0.043614

0

0.011498

0.236714

4,102

125

115

32.816

0.808687

0.102877

0

0.229885

0

0.090859

0.024557

0

0.008

0

1

0.08046

false

0

0.091954

0.011494

0.264368

0

null

0

null

0

1

0

b6b24cefc57188b709e820b0bf006c36f34376a7

20,566

py

Python

singlecelltool.py

MattiazziLab/singlecelltool

0084709448ab851010ba488e3e4cc1d95422862e

[ "MIT" ]

null

singlecelltool.py

MattiazziLab/singlecelltool

0084709448ab851010ba488e3e4cc1d95422862e

[ "MIT" ]

null

singlecelltool.py

MattiazziLab/singlecelltool

0084709448ab851010ba488e3e4cc1d95422862e

[ "MIT" ]

1

2021-06-09T23:37:03.000Z

from PIL import ImageTk, Image from tkinter import filedialog, messagebox import tkinter as tk import pandas as pd import numpy as np import platform import math import os import traceback class Menu: def __init__(self, main): self.main = main self.main.title("Single Cell Labelling Tool") ...

51.159204

132

0.596616

2,475

20,566

4.803232

0.147879

0.059724

0.019684

0.016824

0.408059

0.318977

0.244196

0.213493

0.129795

0.082015

0

0.018561

0.284839

20,566

401

133

51.286783

0.789706

0.035495

0

0.150769

0

0.065657

0.00545

0

1

0.043077

false

0

0.027692

0

0.076923

0

null

0

null

0

1

0

b6b326441a9a486ddfcf807ab05bc6fc1032ac9c

761

py

Python

rss_temple/api/migrations/0006_dedup_feedentries_20210401.py

murrple-1/rss_temple

289197923b1e7d1213f1673d164337df17d7269b

[ "MIT" ]

null

rss_temple/api/migrations/0006_dedup_feedentries_20210401.py

murrple-1/rss_temple

289197923b1e7d1213f1673d164337df17d7269b

[ "MIT" ]

8

2019-12-04T21:58:35.000Z

2021-12-15T02:29:49.000Z

rss_temple/api/migrations/0006_dedup_feedentries_20210401.py

murrple-1/rss_temple

289197923b1e7d1213f1673d164337df17d7269b

[ "MIT" ]

null

from django.db import migrations def _forward_func_deduplication_feed_entries(apps, schema_editor): FeedEntry = apps.get_model('api', 'FeedEntry') unique_set = set() delete_list = [] for feed_entry in FeedEntry.objects.all(): unique_desc = (feed_entry.feed_id, feed_entry.url, ...

24.548387

71

0.660972

89

761

5.280899

0.505618

0.134043

0.102128

0.119149

0.148936

0

0.02807

0.250986

761

30

72

25.366667

0.796491

0

0.049934

0.030223

0

1

0.047619

false

0

0.047619

0

0.238095

0

null

0

null

0

1

0

b6b792498459995b89df7fac86e7a4c838ae82e7

6,200

py

Python

setup.py

bark-simulator/bark-ml

68a4244e91779667c98396c51ee713676bf1dfea

[ "MIT" ]

58

2019-10-07T12:10:27.000Z

2022-03-01T08:08:47.000Z

setup.py

bark-simulator/bark-ml

68a4244e91779667c98396c51ee713676bf1dfea

[ "MIT" ]

31

2019-09-10T15:33:20.000Z

2022-03-30T08:52:08.000Z

setup.py

bark-simulator/bark-ml

68a4244e91779667c98396c51ee713676bf1dfea

[ "MIT" ]

14

2019-10-01T08:23:37.000Z

2021-12-16T15:55:38.000Z

from setuptools import setup, find_packages, Extension import os from setuptools import setup, find_packages, Extension import os,sys import os import shlex import shutil import setuptools.command.build_ext import setuptools.command.build_py import setuptools.command.install import setuptools.command.sdist import setu...

36.904762

146

0.67629

771

6,200

5.211414

0.372244

0.054754

0.023644

0.023892

0.123196

0.067944

0.041812

0.026879

0

0.011944

0.216774

6,200

167

147

37.125749

0.815486

0.208226

0

0.07874

0

0.223611

0.053495

0

1

0.055118

false

0

0.15748

0.015748

0.275591

0.007874

0

null

0

null

0

1

0

fcab1ef55255f164328a1ed4e5f9679cb1a3f825

8,198

py

Python

ml_aos/david_net.py

jfcrenshaw/ml-aos

762509a77d809954749aea9b2b4e594951255c47

[ "MIT" ]

null

ml_aos/david_net.py

jfcrenshaw/ml-aos

762509a77d809954749aea9b2b4e594951255c47

[ "MIT" ]

null

ml_aos/david_net.py

jfcrenshaw/ml-aos

762509a77d809954749aea9b2b4e594951255c47

[ "MIT" ]

null

"""Pytorch neural network to predict zernike coefficients from donut images. My implementation of the network presented in David Thomas's PhD Thesis at Stanford. """ import numpy as np import torch from torch import nn class DavidNet(nn.Module): """Network to predict wavefront Zernike coefficients from donut ima...

30.475836

78

0.580385

1,001

8,198

4.669331

0.216783

0.06119

0.020539

0.016688

0.284339

0.211596

0.18849

0.15169

0.129226

0.118742

0

0.014265

0.333008

8,198

268

79

30.589552

0.840527

0.491095

0

0.26087

0

0.001169

0

1

0.108696

false

0

0.032609

0

0.282609

0

null

0

null

0

1

0

fcacbde3bba335a6b61bda2101f46d6c3839fe23

26,845

py

Python

FastAutoAugment/utils/utils.py

ironluffy/fast-autoaugment

eaae5a6172afe28ba3053021c97e2cb09d170969

[ "MIT" ]

null

FastAutoAugment/utils/utils.py

ironluffy/fast-autoaugment

eaae5a6172afe28ba3053021c97e2cb09d170969

[ "MIT" ]

12

2020-11-08T16:51:28.000Z

2020-11-15T16:31:57.000Z

FastAutoAugment/utils/utils.py

ironluffy/fast-autoaugment

eaae5a6172afe28ba3053021c97e2cb09d170969

[ "MIT" ]

null

import torch import open3d import os import numpy as np import matplotlib import matplotlib.pyplot as plt import itertools import imageio from torch.autograd import Variable from src.utils import point_cloud_utils as pcu from sklearn.metrics import confusion_matrix def weights_init(m): classname = m.__class__.__n...

47.597518

119

0.620898

3,872

26,845

4.05501

0.100723

0.048405

0.01191

0.011592

0.404433

0.342526

0.295523

0.249729

0.220241

0.188714

0

0.022599

0.241758

26,845

563

120

47.68206

0.74876

0.01937

0

0.292

0

0.022847

0.000912

0

1

0.048

false

0

0.024

0

0.104

0

null

0

null

0

1

0

fcaccf9b0138aa7d34d6785bbb98eec7ec092b2d

811

py

Python

utils/config.py

wuyue92tree/nice-you-get

5c4962d27eb23656c14992e260ba94094a9728e6

[ "MIT" ]

null

utils/config.py

wuyue92tree/nice-you-get

5c4962d27eb23656c14992e260ba94094a9728e6

[ "MIT" ]

null

utils/config.py

wuyue92tree/nice-you-get

5c4962d27eb23656c14992e260ba94094a9728e6

[ "MIT" ]

null

import os import json from conf.settings import CONFIG_PATH, HOME_DIR class Config(object): def __init__(self) -> None: super().__init__() self.default_config = { 'save_path': os.path.join(HOME_DIR, 'media'), 'insecure': 0, 'merge': 0, 'caption': 0 ...

25.34375

69

0.557337

106

811

4.09434

0.509434

0.092166

0.078341

0.082949

0.069124

0

0.010695

0.308261

811

32

70

25.34375

0.762923

0

0.05665

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

fcad268505923f6abed1ba916aa0220d82115bca

9,807

py

Python

_modules/nexus3_privileges.py

jsandas/saltstack-nexus3-module

e090dfe18cd3b5d90d1c71b0747ff150eb96e328

[ "MIT" ]

1

2020-11-15T00:18:55.000Z

_modules/nexus3_privileges.py

jsandas/saltstack-nexus3-module

e090dfe18cd3b5d90d1c71b0747ff150eb96e328

[ "MIT" ]

1

2020-11-21T19:08:07.000Z

2020-11-21T19:14:37.000Z

_modules/nexus3_privileges.py

jsandas/saltstack-nexus3-module

e090dfe18cd3b5d90d1c71b0747ff150eb96e328

[ "MIT" ]

null

'''' execution module for Nexus 3 security privileges :version: v0.2.1 :configuration: In order to connect to Nexus 3, certain configuration is required in /etc/salt/minion on the relevant minions. Example: nexus3: hostname: '127.0.0.1:8081' username: 'admin' password: 'admin123...

25.807895

238

0.595187

1,028

9,807

5.64786

0.148833

0.026524

0.025835

0.035653

0.59783

0.562694

0.542714

0.523424

0.512401

0.473131

0

0.006696

0.284287

9,807

380

239

25.807895

0.820487

0.379933

0

0.391061

0

0.21778

0.008592

0

1

0.027933

false

0

0.01676

0

0.106145

0

null

0

null

0

1

0

fcaf861bcc515b67dfa9fe42cad17a8ff98ba4be

1,708

py

Python

Least_Common_Ancestor.py

cjdekker/Tree_Exercises

30350626bfb146dc5affb51f6ab4f2a067832d4b

[ "MIT" ]

null

Least_Common_Ancestor.py

cjdekker/Tree_Exercises

30350626bfb146dc5affb51f6ab4f2a067832d4b

[ "MIT" ]

null

Least_Common_Ancestor.py

cjdekker/Tree_Exercises

30350626bfb146dc5affb51f6ab4f2a067832d4b

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # In[2]: def find_LCAs(parent): LCA = dict() # This is the nested dictionary def lca(u, v): if u in list(LCA.keys()): if v in list(LCA[u].keys()): return for i in list(parent[u]): lca(i,v) ul = [u] ...

23.39726

100

0.379977

235

1,708

2.757447

0.217021

0.050926

0.083333

0.074074

0.398148

0.256173

0

0.002265

0.483021

1,708

72

101

23.722222

0.731597

0.101288

0

0.296296

0

1

0.074074

false

0

0.111111

0

null

0

null

0

1

0

fcb0aac9f660d4912d9fc1b07d9b54eabce822d8

290

py

Python

samples/takePicture.py

windriver-codecamp/alpha_drone

2845784b93296f1ff8d259418208d24202f05c5d

[ "MIT" ]

null

samples/takePicture.py

windriver-codecamp/alpha_drone

2845784b93296f1ff8d259418208d24202f05c5d

[ "MIT" ]

null

samples/takePicture.py

windriver-codecamp/alpha_drone

2845784b93296f1ff8d259418208d24202f05c5d

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import cv2 import time from djitellopy import Tello tello = Tello() tello.connect() tello.streamon() frame_read = tello.get_frame_read() #tello.takeoff() time.sleep(1) cv2.imwrite("picture.png", frame_read.frame) #tello.land() tello.end()

15.263158

44

0.717241

43

290

4.744186

0.604651

0.147059

0

0.019455

0.113793

290

19

45

15.263158

0.774319

0.241379

0

0.050691

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

fcb2a18761108cac8ef931cd2742ce63d5c4b447

1,167

py

Python

terrapower/physics/neutronics/dragon/tests/dragonTestingApp.py

ntouran/dragon-armi-plugin

c43e39891f9c99b87ff8ff82bd2424acbe6afec0

[ "Apache-2.0" ]

null

terrapower/physics/neutronics/dragon/tests/dragonTestingApp.py

ntouran/dragon-armi-plugin

c43e39891f9c99b87ff8ff82bd2424acbe6afec0

[ "Apache-2.0" ]

9

2019-11-16T01:17:41.000Z

2021-11-22T15:47:19.000Z

terrapower/physics/neutronics/dragon/tests/dragonTestingApp.py

ntouran/dragon-armi-plugin

c43e39891f9c99b87ff8ff82bd2424acbe6afec0

[ "Apache-2.0" ]

2

2019-11-18T15:13:46.000Z

2021-07-30T18:01:40.000Z

# Copyright 2019 TerraPower, LLC # # 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 writi...

30.710526

76

0.672665

149

1,167

5.208054

0.61745

0.07732

0.033505

0.041237

0

0.00852

0.195373

1,167

37

77

31.540541

0.817891

0.600686

0

0.153846

0

0.260181

0.144796

0

1

0.153846

false

0

0.153846

0.076923

0.461538

0

null

0

null

0

1

0

fcb31fbe47519c56c2575ea13372b07701ee10b4

510

py

Python

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/04-Text-Filter.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/04-Text-Filter.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/04-Text-Filter.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

# 4. Text Filter # Write a program that takes a text and a string of banned words. # All words included in the ban list should be replaced with asterisks "*", equal to the word's length. ' \ # 'The entries in the ban list will be separated by a comma and space ", ". # The ban list should be entered on the first...

34

107

0.692157

86

510

4.081395

0.534884

0.094017

0.08547

0.068376

0.102564

0

0.0025

0.215686

510

14

108

36.428571

0.875

0.705882

0

0.020833

0

1

0

false

0

0.2

0

null

0

null

0

1

0

fcb3567798e88484d6775c6425b603d48c728543

18,009

py

Python

main.py

ghurone/tamacat

70f0e4bb6d21cde993caa38ef7e047187b306d3d

[ "MIT" ]

null

main.py

ghurone/tamacat

70f0e4bb6d21cde993caa38ef7e047187b306d3d

[ "MIT" ]

null

main.py

ghurone/tamacat

70f0e4bb6d21cde993caa38ef7e047187b306d3d

[ "MIT" ]

null

import config.funcoes as cfunc import config.saveload as csave import config.janela as cjane import config.gatos_ascii as cga import objs.gatinho as ogato import objs.geladeira as ogela import objs.bau as obau from random import randint, choice from time import sleep humores = ['feliz', 'triste', 'quieto', 'brincalhã...

35.105263

133

0.470931

1,963

18,009

4.15894

0.180846

0.034297

0.051445

0.014699

0.28099

0.174057

0.109873

0.073126

0.021803

0

0.019961

0.40191

18,009

512

134

35.173828

0.737722

0.038925

0

0.25

0

0.010989

0.193184

0.006666

0

0.001953

0

1

0.027473

false

0.002747

0.024725

0

0.087912

0.049451

0

null

0

null

0

1

0

fcb3f35344db31559c493891a3016def67e71ee1

3,837

py

Python

src/pyluxcoretools/pyluxcoretools/utils/netbeacon.py

OmidGhotbi/LuxCore

e83fb6bf2e2c0254e3c769ffc8e5546eb71f576a

[ "Apache-2.0" ]

826

2017-12-12T15:38:16.000Z

2022-03-28T07:12:40.000Z

src/pyluxcoretools/pyluxcoretools/utils/netbeacon.py

OmidGhotbi/LuxCore

e83fb6bf2e2c0254e3c769ffc8e5546eb71f576a

[ "Apache-2.0" ]

531

2017-12-03T17:21:06.000Z

2022-03-20T19:22:11.000Z

src/pyluxcoretools/pyluxcoretools/utils/netbeacon.py

OmidGhotbi/LuxCore

e83fb6bf2e2c0254e3c769ffc8e5546eb71f576a

[ "Apache-2.0" ]

133

2017-12-13T18:46:10.000Z

2022-03-27T16:21:00.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- ################################################################################ # Copyright 1998-2018 by authors (see AUTHORS.txt) # # This file is part of LuxCoreRender. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except i...

28.849624

99

0.691426

473

3,837

5.54334

0.35518

0.04958

0.02746

0.012204

0.318841

0.295957

0.276125

0.251716

0.218154

0

0.009886

0.156372

3,837

132

100

29.068182

0.800124

0.23117

0

0.363636

0

0.113965

0.015919

0

1

0.103896

false

0

0.064935

0

0.194805

0

null

0

null

0

1

0

fcb43a9aaebf1ad8cae7c5ffcb6ef4a11fa19aa8

389

py

Python

api/main.py

debbie-chan/SPM

f84e62779347579287aee8a2e832f72dcc53b8dd

[ "MIT" ]

null

api/main.py

debbie-chan/SPM

f84e62779347579287aee8a2e832f72dcc53b8dd

[ "MIT" ]

null

api/main.py

debbie-chan/SPM

f84e62779347579287aee8a2e832f72dcc53b8dd

[ "MIT" ]

null

from flask import render_template from .src.app import create_app db_uri = ( "mongodb+srv://dbAdmin:Ve08ByJJOk5RNhWK@clusterlms.k10xd.mongodb.net/lms" ) app = create_app(db_uri) @app.route("/", defaults={"path": ""}) @app.route("/<path:path>") def index(path): return render_template("index.html") if __name...

21.611111

77

0.691517

57

389

4.473684

0.614035

0.023529

0.086275

0.109804

0

0.038123

0.123393

389

17

78

22.882353

0.709677

0

0.290488

0.182519

0

1

0.083333

false

0

0.166667

0.083333

0.333333

0

null

0

null

0

1

0

fcb44301153a2a318071b686264e0d081c08940a

2,189

py

Python

inference.py

SolomidHero/voice-conversion-flask-heroku

2b27f1e92dcd2d06723ab39382389fbe722c843d

[ "MIT" ]

null

inference.py

SolomidHero/voice-conversion-flask-heroku

2b27f1e92dcd2d06723ab39382389fbe722c843d

[ "MIT" ]

null

inference.py

SolomidHero/voice-conversion-flask-heroku

2b27f1e92dcd2d06723ab39382389fbe722c843d

[ "MIT" ]

null

import json import torch import sys from common_utils import transform_audio from engine.data import load_wav, log_mel_spectrogram, plot_mel, plot_attn from engine.models import load_pretrained_wav2vec from vocoder.env import AttrDict sys.path.append("./vocoder") from vocoder.models import Generator device = torch....

29.581081

80

0.740978

327

2,189

4.712538

0.327217

0.046723

0.025308

0.033095

0.063595

0.035042

0

0.020148

0.138419

2,189

73

81

29.986301

0.796925

0.042942

0

0.169459

0.021541

0

1

0.039216

false

0

0.156863

0

0.235294

0.156863

0

null

0

null

0

1

0

fcb77d0da70d5d72ccf79ec2127cc2c4373c050d

5,412

py

Python

suica.py

hsgwa/nfcpy-suica-sample

7903ec3546c3e11fef0c82b6316b357a7a4d585d

[ "MIT" ]

null

suica.py

hsgwa/nfcpy-suica-sample

7903ec3546c3e11fef0c82b6316b357a7a4d585d

[ "MIT" ]

null

suica.py

hsgwa/nfcpy-suica-sample

7903ec3546c3e11fef0c82b6316b357a7a4d585d

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import binascii import csv import datetime import os import struct import sys import nfc sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/nfcpy') num_blocks = 20 service_code = 0x090f class StationRecord(object): db = None def __init__(self, row...

29.736264

91

0.55765

644

5,412

4.495342

0.268634

0.017271

0.046978

0.017617

0.078411

0.044905

0.020725

0

0.029459

0.316334

5,412

181

92

29.900552

0.752973

0.034183

0

0.101449

0

0.050594

0

0.014182

0

1

0.108696

false

0

0.057971

0.043478

0.282609

0.086957

0

null

0

null

0

1

0

fcb7d3280cecce6265b2df4ab52529db9861f61d

1,760

py

Python

raekwon/db.py

metheoryt/raekwon

3330559a2b655436520fad3d7edf6c871d6e8460

[ "MIT" ]

null

raekwon/db.py

metheoryt/raekwon

3330559a2b655436520fad3d7edf6c871d6e8460

[ "MIT" ]

null

raekwon/db.py

metheoryt/raekwon

3330559a2b655436520fad3d7edf6c871d6e8460

[ "MIT" ]

null

from datetime import datetime import marshmallow as ma import sqlalchemy as sa from marshmallow import fields as f from sqlalchemy import MetaData from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker, scoped_session metadata = MetaData() Session = scoped_session(sessionmaker...

28.387097

84

0.694318

235

1,760

5.07234

0.365957

0.017617

0.065436

0.071309

0.050336

0

0.198864

1,760

61

85

28.852459

0.84539

0.053409

0

0.014661

0

1

0.073171

false

0

0.170732

0

0.317073

0

null

0

null

0

1

0

fcbb97830b78a5ce1b4a5754ca7c5afd3e05b7f0

3,963

py

Python

app/FrontendMicroservice/main_frontend.py

AdavisSnakes/GrocerySaaS

1d0b50d1c0d2e53b1bdb9fe57e94c6168b7e4c84

[ "MIT" ]

null

app/FrontendMicroservice/main_frontend.py

AdavisSnakes/GrocerySaaS

1d0b50d1c0d2e53b1bdb9fe57e94c6168b7e4c84

[ "MIT" ]

null

app/FrontendMicroservice/main_frontend.py

AdavisSnakes/GrocerySaaS

1d0b50d1c0d2e53b1bdb9fe57e94c6168b7e4c84

[ "MIT" ]

null

#!/usr/bin/python3.7 import sys, json, os, stripe from datetime import timedelta, datetime from flask import Flask, render_template, redirect, request, escape, jsonify, flash, current_app from flask_login import LoginManager, UserMixin, login_required, login_user, logout_user, current_user from flask_wtf import CSRFPro...

36.027273

102

0.726218

471

3,963

5.781316

0.248408

0.064635

0.058759

0.05729

0.364671

0.302975

0.263313

0.246787

0.226956

0

0.006479

0.182185

3,963

110

103

36.027273

0.833693

0.010346

0

0.192771

0

0.06682

0.005356

0

1

0.108434

false

0

0.120482

0

0.349398

0.036145

0

null

0

null

0

1

0

fcbc22574e8ecb6bb9fb93418299a40102fc9634

483

py

Python

examples/decoupledibpm/sphere3d/Re350/scripts/create_body.py

barbagroup/petibm-examples

794de3613967c14750c750aed386602c988cff05

[ "BSD-3-Clause" ]

2

2020-08-08T13:37:32.000Z

2021-12-01T03:22:32.000Z

examples/decoupledibpm/sphere3d/Re350/scripts/create_body.py

barbagroup/petibm-examples

794de3613967c14750c750aed386602c988cff05

[ "BSD-3-Clause" ]

null

examples/decoupledibpm/sphere3d/Re350/scripts/create_body.py

barbagroup/petibm-examples

794de3613967c14750c750aed386602c988cff05

[ "BSD-3-Clause" ]

2

2019-12-22T08:49:01.000Z

2021-12-01T03:22:44.000Z

"""Create a sphere.""" import pathlib import sys import petibmpy rootdir = pathlib.Path(__file__).absolute().parents[5] sys.path.insert(0, str(rootdir / 'misc')) import icosphere R = 0.5 sphere = icosphere.create_icosphere(25) sphere.vertices *= R sphere.print_info() x, y, z = sphere.vertices.T # Center the sphe...

18.576923

54

0.706004

76

483

4.342105

0.460526

0.024242

0.027273

0.139394

0.181818

0

0.0358

0.132505

483

25

55

19.32

0.75179

0.113872

0

0.035545

0

1

0

false

0

0.266667

0

0.266667

0.066667

0

null

0

null

0

1

0

fcbc3d99f59af651cbfa762d00ff42cd63d6d739

1,129

py

Python

examples/plot_therm.py

xavigisbeg/handy_plotter

048a38dc8510b81df01348bf4e756fa846a977be

[ "MIT" ]

null

examples/plot_therm.py

xavigisbeg/handy_plotter

048a38dc8510b81df01348bf4e756fa846a977be

[ "MIT" ]

null

examples/plot_therm.py

xavigisbeg/handy_plotter

048a38dc8510b81df01348bf4e756fa846a977be

[ "MIT" ]

null

import context as HP import os OT = '2018_1101_B' if (os.name == 'nt'): pathData = '{}{}/{}'.format( '//SERVIDORSQL/Datos/Desarrollos y pruebas/', 'Automatitzacio/Dades Proves/Termoparell', OT) pathPlot = '{}{}/{}'.format( '//SERVIDORSQL/Datos/Desarrollos y pruebas/', 'Automatitzacio/Dades Proves/Termopar...

22.137255

74

0.622675

146

1,129

4.773973

0.568493

0.021521

0.025825

0.094692

0.370158

0.226686

0

0.061269

0.190434

1,129

50

75

22.58

0.701313

0.0124

0

0.297872

0

0.327044

0.100629

0

1

0

false

0

0.042553

0

0.042553

0.021277

0

null

0

null

0

1

0

fcbd2a883473757a97803fed690a067d5c7f7016

7,526

py

Python

sammba/registration/tests/test_template_registrator.py

salma1601/sammba-mri

c3c79ed806a4e5ce3524bc6053bf0c3ff1444113

[ "CECILL-B" ]

null

sammba/registration/tests/test_template_registrator.py

salma1601/sammba-mri

c3c79ed806a4e5ce3524bc6053bf0c3ff1444113

[ "CECILL-B" ]

null

sammba/registration/tests/test_template_registrator.py

salma1601/sammba-mri

c3c79ed806a4e5ce3524bc6053bf0c3ff1444113

[ "CECILL-B" ]

null

import os from nose import with_setup from nose.tools import assert_true import numpy as np import nibabel from nilearn.datasets.tests import test_utils as tst from nilearn._utils.testing import assert_raises_regex from nilearn._utils.niimg_conversions import _check_same_fov from sammba import testing_data from sammba....

44.797619

78

0.662769

921

7,526

5.040174

0.12595

0.028436

0.030159

0.042223

0.607712

0.55838

0.467902

0.383455

0.358035

0.317105

0

0.008329

0.250199

7,526

167

79

45.065868

0.814283

0.042386

0

0.395522

0

0.050188

0

0.141791

1

0.044776

false

0

0.074627

0

0.119403

0

null

0

null

0

1

0

fcbe57aa0aba088b6e7c1f10ce1907df3fa001fe

8,939

py

Python

main.py

RabbitFored/responseJSON-bot

45364296fe63b6db3a89003339d787d0966ae037

[ "MIT" ]

5

2021-08-11T18:24:53.000Z

2021-11-16T13:01:41.000Z

main.py

RabbitFored/responseJSON-bot

45364296fe63b6db3a89003339d787d0966ae037

[ "MIT" ]

null

main.py

RabbitFored/responseJSON-bot

45364296fe63b6db3a89003339d787d0966ae037

[ "MIT" ]

2

2021-08-10T05:42:14.000Z

2021-08-12T14:00:24.000Z

from multiprocessing import Process import botapi from pyrogram import Client, filters from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton from pyrogram.handlers import MessageHandler import json import database from pyrogram.errors import (PeerIdInvalid, UserIsBlocked, MessageTooLong) from pyrogram.t...

33.859848

119

0.571205

900

8,939

5.498889

0.204444

0.026672

0.024247

0.029097

0.481309

0.409982

0.404526

0.387149

0.292382

0.25298

0

0.001655

0.323974

8,939

263

120

33.988593

0.817309

0.003804

0

0.337963

0

0.009259

0.175466

0.007414

0

1

0

false

0

0.050926

0

0.064815

0.009259

0

null

0

null

0

1

0

fcc07acfd0ff24e49be1cb1b14f2f8ee025b2537

4,301

py

Python

datastax/trees/heap_tree.py

warmachine028/datastax

2898b517dee471a240a10e81bcfafee5dce615ca

[ "MIT" ]

5

2021-12-25T17:08:39.000Z

2022-03-18T16:22:57.000Z

datastax/trees/heap_tree.py

warmachine028/datastax

2898b517dee471a240a10e81bcfafee5dce615ca

[ "MIT" ]

1

2021-12-28T05:45:34.000Z

2021-12-28T21:31:50.000Z

datastax/trees/heap_tree.py

warmachine028/datastax

2898b517dee471a240a10e81bcfafee5dce615ca

[ "MIT" ]

null

# Heap Tree Implementation from __future__ import annotations import warnings from typing import Optional, Any from datastax.errors import DeletionFromEmptyTreeWarning from datastax.trees.private_trees.binary_tree import BinaryTree, TreeNode class HeapNode(TreeNode): def __init__(self, data: Any, ...

34.408

73

0.589863

538

4,301

4.592937

0.204461

0.100364

0.038851

0.0259

0.161068

0.108458

0.025091

0

0.000348

0.332016

4,301

124

74

34.685484

0.859729

0.110672

0

0.141414

0

0.016002

0

1

0.10101

false

0

0.050505

0.010101

0.262626

0

null

0

null

0

1

0

fcc09e2543fdf968d7d7db4fd1316f5b3e4dc932

7,443

py

Python

pretix_mpesa/payment.py

enyachoke/pretix-mpesa

615368b04226e72cea3b1a16002001e32d0435bb

[ "Apache-2.0" ]

2

2018-07-10T15:55:47.000Z

2020-11-28T20:42:53.000Z

pretix_mpesa/payment.py

enyachoke/pretix-mpesa

615368b04226e72cea3b1a16002001e32d0435bb

[ "Apache-2.0" ]

null

pretix_mpesa/payment.py

enyachoke/pretix-mpesa

615368b04226e72cea3b1a16002001e32d0435bb

[ "Apache-2.0" ]

1

2021-05-27T15:20:18.000Z

import json import logging import urllib.parse import phonenumbers import math from pympesa import Pympesa from django import forms from django.contrib import messages from django.core import signing from django.template.loader import get_template from django.utils.translation import ugettext as __, ugettext_lazy as _...

42.775862

142

0.616015

800

7,443

5.5375

0.3

0.027314

0.032506

0.018059

0.138826

0.090068

0.0693

0.048984

0

0.000573

0.296655

7,443

173

143

43.023121

0.845654

0.065296

0

0.216783

0

0.006993

0.204844

0.03808

0

1

0.06993

false

0.034965

0.167832

0.027972

0.34965

0

null

0

null

0

1

0

fcc1840932d14855ac81775c732f4766b613aa60

1,927

py

Python

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

"""Tests the `/api/bot/snake_` endpoints.""" from tests import SiteTest, app class TestSnakeFactsAPI(SiteTest): """GET method - get snake fact""" def test_snake_facts(self): response = self.client.get( '/bot/snake_facts', app.config['API_SUBDOMAIN'], headers=app.c...

29.646154

63

0.613908

218

1,927

5.275229

0.224771

0.078261

0.052174

0.095652

0.733913

0.668696

0.582609

0.516522

0

0.010526

0.260509

1,927

64

30.109375

0.796491

0.091853

0

0.533333

0

0.12355

0.016821

0

0.222222

1

0.111111

false

0

0.022222

0

0.222222

0

null

0

null

0

1

0

fcc6c86765fcf633c28691ba399ab19c5fd57779

461

py

Python

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

from tkinter import * from PIL import ImageTk, Image root = Tk() root.title('Batman') root.iconbitmap('images/batman.ico') root.geometry('400x400') def show(): myLabel = Label(root, text=var.get()) myLabel.pack() var = StringVar() check = Checkbutton(root, text='Check this box', variable=var, onvalue='On', ...

20.043478

92

0.707158

62

461

5.258065

0.629032

0.07362

0

0.014888

0.125813

461

22

93

20.954545

0.794045

0

0.136659

0

1

0.0625

false

0

0.125

0

0.1875

0

null

0

null

0

1

0

fcc79406b9832714fea2809a9345d147398abb57

38,295

py

Python

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

48

2021-06-02T01:44:06.000Z

2022-01-19T05:10:54.000Z

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

2

2021-07-07T21:53:37.000Z

2022-01-11T20:46:31.000Z

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

7

2021-06-02T14:41:05.000Z

2022-03-11T21:37:01.000Z

import tensorflow as tf import sys sys.path.append('../../') from model.model_utils import bfloat16_getter, get_shape_list, gelu, dropout, layer_norm, sequence_xe_loss, \ construct_host_call, get_assignment_map_from_checkpoint, _sequence_xe_loss_noreduce, stack_jagged, \ get_ltr_attention_mask from data.thor_c...

48.352273

125

0.589215

4,526

38,295

4.623288

0.115113

0.035699

0.020741

0.013763

0.479092

0.386284

0.293763

0.238949

0.19871

0.179881

0

0.015195

0.31085

38,295

791

126

48.413401

0.777689

0.212665

0

0.248918

0

0.046717

0.009385

0

0.032468

1

0.030303

false

0

0.021645

0

0.08658

0

null

0

null

0

1

0

fcc845234e6840c99dfb161a50d8b03c190825b7

16,564

py

Python

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

3

2017-03-10T00:51:01.000Z

2018-04-25T16:50:13.000Z

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

106

2017-03-16T23:57:10.000Z

2021-10-05T23:44:48.000Z

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

1

2018-07-26T23:32:13.000Z

import os import re import time from os.path import dirname, exists, join import pytest import yaml from alpenhorn import acquisition as ac from alpenhorn import archive as ar from alpenhorn import storage as st if ("RUN_DOCKER_TESTS" not in os.environ) and ("PLAYGROUND" not in os.environ): pytestmark = pytest...

27.745394

90

0.604262

2,153

16,564

4.517882

0.194612

0.014804

0.021487

0.028786

0.287961

0.24725

0.228436

0.193276

0.179912

0.160481

0

0.010692

0.282903

16,564

596

91

27.791946

0.808217

0.218908

0

0.284457

0

0.008798

0.141078

0.018767

0

0.049853

1

0.061584

false

0.002933

0.043988

0

0.131965

0.032258

0

null

0

null

0

1

0

fccb331c2eb46090371d60f7632d229d2233551e

10,172

py

Python

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

import numpy as np from scipy.optimize import line_search import locale locale.setlocale(locale.LC_ALL, '') class cd_res(object): def __init__(self, x, fun): self.x = x self.fun = fun print_stop_iteration = 1 def cdl_step(score, guess, jac, val = Non...

42.383333

159

0.567735

1,353

10,172

4.128603

0.230599

0.035804

0.048335

0.025063

0.383101

0.339241

0.281776

0.261726

0.253849

0

0.013481

0.336414

10,172

239

160

42.560669

0.814074

0.341329

0

0.307692

0

0.020979

0.119927

0

0.008368

0.034965

1

0.034965

false

0

0.020979

0.006993

0.125874

0.20979

0

null

0

null

0

1

0

fccf49b1abdfc57fe1c9a3e98dcfeba511b3cef0

2,495

py

Python

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

from ogre import generators import argparse from configparser import ConfigParser from ase.io import read, write import os from ogre.utils.utils import print_run_time #print('################') #teat_a = read('TETCEN.cif', format= 'cif') #print(teat_a) def parse_arguments(): parser = argparse.ArgumentParser() ...

38.384615

92

0.662926

299

2,495

5.240803

0.304348

0.058073

0.03829

0.053606

0.121251

0.089981

0.068922

0

0.002572

0.220842

2,495

64

93

38.984375

0.803498

0.034068

0

0.035714

0

0.114644

0.013808

0

1

0.035714

false

0

0.107143

0

0.160714

0.071429

0

null

0

null

0

1

0

fcd93a3e56808b06287beaf9ab650f7bd54032be

13,058

py

Python

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

17

2016-09-23T03:29:23.000Z

2022-03-22T10:42:34.000Z

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

3

2016-09-21T23:12:51.000Z

2016-12-01T19:17:18.000Z

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

3

2017-05-30T17:30:30.000Z

2020-03-26T09:43:24.000Z

from collections import OrderedDict import math from quantile_ml import utils import pandas as pd from sklearn.ensemble import GradientBoostingRegressor, GradientBoostingClassifier from sklearn.metrics import mean_squared_error, make_scorer, brier_score_loss, accuracy_score, explained_variance_score, mean_absolute_err...

40.055215

362

0.652856

1,735

13,058

4.767723

0.197695

0.02986

0.014507

0.01632

0.342722

0.28663

0.230658

0.219536

0.189192

0

0.010702

0.24866

13,058

325

363

40.178462

0.832433

0.114566

0

0.297778

0

0.026667

0.192341

0.01083

0

1

0.048889

false

0.004444

0.031111

0.004444

0.133333

0.284444

0

null

0

null

0

1

0

fcda80063c8aaa6e840fe53a93438e5045c6f364

1,150

py

Python

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

1

2020-08-15T16:15:03.000Z

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

null

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

2

2021-06-02T07:50:57.000Z

2021-12-01T23:35:10.000Z

import os from setuptools import setup, find_packages version = os.environ.get('VERSION') if version is None: with open(os.path.join('.', 'VERSION')) as version_file: version = version_file.read().strip() setup_options = { 'name': 'loopchain tools', 'description': 'CLI tools for loopchain', ...

31.944444

61

0.64087

123

1,150

5.878049

0.626016

0.078838

0.103734

0.071923

0

0.006572

0.206087

1,150

35

62

32.857143

0.785323

0

0.533913

0.025217

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

fcdb510122b20178c2555bc294630f212df04c12

1,315

py

Python

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

2

2019-11-12T09:07:56.000Z

2020-07-15T06:28:58.000Z

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

null

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

1

2020-05-04T13:46:38.000Z

# -*- coding:utf-8 -*- """ @Author：Charles Van @E-mail: williananjhon@hotmail.com @Time：2019-08-13 15:52 @Project:InterView_Book @Filename:stack_4.py @description: 使用堆栈解决汉诺塔问题 """ ''' 题目描述：有3根杆子，其中一根上有n快铁饼，铁饼由小到大依次从上往下排列，要求把杆1上的铁饼挪到杆2上，杆3可以作为铁饼转移的中转站。当转移铁饼时，必须保证小铁饼只能放到大铁饼的上头，请给出移动步骤。 ''' class HanoiMove: ...

23.909091

92

0.698859

169

1,315

5.35503

0.461538

0.086188

0.044199

0

0.028131

0.161977

1,315

55

93

23.909091

0.793103

0.13308

0

0.129032

0

0.052889

0

1

0.096774

false

0

0.193548

0.16129

0

null

0

null

0

1

0

fcdc751153a77f14d59683f2518a461ca9f696b9

34,911

py

Python

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

import functools import itertools import operator import re import numpy as np import pandas as pd from pandas.api.types import is_numeric_dtype import toolz from genopandas import plotting as gplot from genopandas.util.pandas_ import DfWrapper from .frame import GenomicDataFrame, GenomicSlice RANGED_REGEX = r'(?P<...

34.462981

80

0.595085

4,019

34,911

4.950485

0.132122

0.057801

0.025633

0.018999

0.379674

0.312123

0.261962

0.215923

0.209439

0.182097

0

0.004052

0.314228

34,911

1,012

81

34.497036

0.826991

0.15826

0

0.345257

0

0.0472

0.002909

0

0.001976

0

1

0.07154

false

0.001555

0.032659

0.00311

0.178849

0

null

0

null

0

1

0

fcdcb04e7d7ccb6b7e169672c64a338e2a347415

936

py

Python

GUI/Generic/GScrollableBases.py

gcewing/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

9

2019-07-15T19:03:27.000Z

2021-11-24T19:50:02.000Z

GUI/Generic/GScrollableBases.py

mnabeelp/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

3

2019-09-11T13:22:10.000Z

2020-08-19T20:13:00.000Z

GUI/Generic/GScrollableBases.py

mnabeelp/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

4

2020-02-23T16:50:06.000Z

2022-02-10T07:15:35.000Z

#------------------------------------------------------------------------------- # # Python GUI - Scrollable objects mixin - Generic # #------------------------------------------------------------------------------- from GUI.Properties import overridable_property class ScrollableBase(object): """Mixin for component...

28.363636

80

0.600427

95

936

5.852632

0.505263

0.136691

0.064748

0

0.138889

936

32

81

29.25

0.689826

0.290598

0

0.274119

0

1

0.111111

false

0

0.055556

0

0.444444

0

null

0

null

0

1

0

fcdf6498cef441e9307973c5719c094eefe1d7d2

5,047

py

Python

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

1,437

2017-04-10T04:55:35.000Z

2022-03-31T04:49:26.000Z

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

130

2017-05-19T02:39:38.000Z

2022-03-21T14:10:35.000Z

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

542

2017-05-10T10:18:15.000Z

2022-03-21T05:52:35.000Z

import argparse import better_exceptions import sys import time from pathlib import Path import zipfile import bz2 import urllib.request import dlib import cv2 zip_names = ["train_1.zip", "train_2.zip", "train_gt.zip", "valid.zip", "valid_gt.zip"] urls = ["http://***/train_1.zip", "http://***/train_2.zip", ...

36.572464

112

0.650684

657

5,047

4.741248

0.277017

0.045907

0.036597

0.02825

0.19069

0.123274

0.050722

0

0.016096

0.22449

5,047

137

113

36.839416

0.779765

0.01704

0

0.019048

0

0.009524

0.153722

0.005649

0

1

0.057143

false

0.038095

0.095238

0

0.171429

0.047619

0

null

0

null

0

1

0

fce0375babdffaec108464100e4d42cc1e0f5f14

364

py

Python

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

import FWCore.ParameterSet.Config as cms CTPPSSimHits = cms.EDProducer('CTPPSSimHitProducer', MCEvent = cms.untracked.InputTag("LHCTransport"), Z_Tracker1 = cms.double(203.827),# first tracker z position in m Z_Tracker2 = cms.double(212.550),# second tracker z position in m Z_Timing = cms.double(215...

33.090909

71

0.730769

51

364

5.156863

0.607843

0.102662

0.125475

0.136882

0.152091

0

0.066007

0.167582

364

10

72

36.4

0.80198

0.258242

0

0.116541

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

fce41f5398739ee51c0146bd32f70e90c45cd487

10,999

py

Python

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

6

2018-11-07T12:41:30.000Z

2020-04-12T18:07:03.000Z

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

1

2020-10-20T12:33:18.000Z

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

10

2018-11-12T06:15:19.000Z

2021-11-18T05:45:12.000Z

""" DRS De-Registration device resource package. Copyright (c) 2018-2020 Qualcomm Technologies, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met: ...

62.851429

844

0.638967

1,268

10,999

5.363565

0.227918

0.020585

0.026761

0.03823

0.58609

0.553301

0.536833

0

0.002033

0.284389

10,999

174

845

63.212644

0.862025

0.224566

0

0.691781

0

0.097776

0.007413

0

1

0.020548

false

0

0.09589

0

0.212329

0

null

0

null

0

1

0

fce42dcc84df1e368c75a961a2e92119ffaf9405

3,193

py

Python

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

#!/usr/bin/env python import csv from itertools import compress from struct import Struct def check_ctl(incsv): """Check the Length variable within the control file. Length = Start - End + 1 """ with open(incsv, 'rU') as f: csv_reader = csv.DictReader(f) for row in csv_reader: ...

37.127907

108

0.606953

448

3,193

4.167411

0.332589

0.06481

0.048206

0.067488

0.23353

0.203535

0.151044

0.085699

0.043921

0

0.016927

0.296899

3,193

85

109

37.564706

0.814699

0.347635

0

0.095238

0

0.083881

0.060637

0

0.02381

1

0.142857

false

0

0.119048

0.047619

0.357143

0

null

0

null

0

1

0

fce46c304276b9b24990e4e0366dffce626e8138

1,515

py

Python

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

__doc__ = 'for adapting 3 main types of resp: requests, baidubce & bumblebee' import json from requests import Response as RequestsResponse from utils.bce import BceResponse from utils import SelfAssemblingClass class GeneralResp(): ''' 0. if everything is ok, directly access this for json 1. if somethi...

34.431818

78

0.590759

158

1,515

5.512658

0.506329

0.064294

0.041332

0.061998

0

0.002962

0.331353

1,515

43

79

35.232558

0.856861

0.128713

0

0.158805

0

1

0.071429

false

0.035714

0.142857

0.035714

0.428571

0.178571

0

null

0

null

0

1

0

fce6cd181284a407deac3e65af5c7526a1141077

698

py

Python

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

null

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

null

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

1

2021-01-02T16:16:56.000Z

from mcpi.minecraft import Minecraft import math import time import random import pycraft mc = pycraft.new_minecraft() destX = random.randint(-127, 127) destZ = random.randint(-127, 127) destY = mc.getHeight(destX, destZ) block = 57 mc.setBlock(destX, destY, destZ, block) mc.postToChat("Block set") while True: pos ...

21.8125

66

0.696275

100

698

4.85

0.48

0.173196

0.065979

0.078351

0

0.046075

0.160458

698

32

67

21.8125

0.78157

0

0.067239

0

1

0

false

0

0.178571

0

0.178571

0

null

0

null

0

1

0

fce82e902ad945e4eaa9e4c10493543217fafc73

2,368

py

Python

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

# Copyright (c) 2016-2018 Renata Hodovan, Akos Kiss. # # Licensed under the BSD 3-Clause License # <LICENSE.rst or https://opensource.org/licenses/BSD-3-Clause>. # This file may not be copied, modified, or distributed except # according to those terms. import os from bugzilla import * from .base import BaseTracker ...

36.430769

106

0.559122

249

2,368

5.192771

0.465863

0.083527

0.015468

0.021655

0.035576

0

0.006456

0.345861

2,368

64

107

37

0.828276

0.127534

0

0.047133

0

1

0.162791

false

0.046512

0.069767

0.395349

0

null

0

null

0

1

0

fceb36dd10a7c2e8d6eea587eff7fe47021932ef

3,741

py

Python

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

7

2017-06-02T20:31:22.000Z

2021-04-05T13:52:33.000Z

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

null

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

9

2019-01-24T17:43:41.000Z

2021-07-25T18:08:34.000Z

""" Object name: HorizontalCylinder Functions: Gr(g,beta,DT,D,nu) gives the Grashoff number based on: gravity g, thermal expansion coefficient beta, Temperature difference DT, length scale D, viscosity nu Ra(g,beta,DT,D,nu,alpha) gives the Rayleigh number where alpha is the thermal ...

35.971154

102

0.493718

506

3,741

3.626482

0.254941

0.039237

0.091553

0.035967

0.531335

0.518256

0.474659

0.431608

0

0.071336

0.377974

3,741

103

36.320388

0.717232

0.260893

0

0.287671

0

0.129008

0

1

0.054795

false

0

0.041096

0.027397

0.150685

0.123288

0

null

0

null

0

1

0

fced7903bc90aa448acbe8f9d949ea135dc54660

3,765

py

Python

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

from pytest_bdd import given, when, then from model.contact import Contact import random @given('a contact list') def contact_list(db): return db.get_contacts_list() @given('a contact with <first_name>, <last_name>, <address>, <home_phone>, <work_phone>, <mobile_phone>, <fax>, <mail_1>, <mail_2> and <mail_3>') de...

46.481481

160

0.705976

558

3,765

4.448029

0.168459

0.079774

0.048348

0.061241

0.560435

0.500806

0.420629

0.39726

0.383562

0

0.015324

0.185392

3,765

80

161

47.0625

0.793935

0

0.306452

0

0.016129

0.176674

0

0.096774

1

0.16129

false

0

0.048387

0.274194

0

null

0

null

0

1

0

fceeb5c97dcacc7efd221c426aaa56e4566fd2c1

3,050

py

Python

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

29

2019-01-09T23:56:35.000Z

2022-03-18T03:41:10.000Z

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

39

2019-01-10T00:32:26.000Z

2022-03-12T00:29:05.000Z

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

11

2019-01-10T08:11:47.000Z

2021-12-28T15:56:02.000Z

from examples.AV.example_runner_mcts_av import runner as mcts_runner def validate_mcts(): # Overall settings max_path_length = 50 s_0 = [0.0, -4.0, 1.0, 11.17, -35.0] base_log_dir = './data' # experiment settings run_experiment_args = {'snapshot_mode': 'last', 'snaps...

31.770833

102

0.475738

325

3,050

4.049231

0.295385

0.041033

0.079027

0.036474

0.266717

0.209726

0.148936

0.103343

0.045593

0

0.034659

0.422951

3,050

95

103

32.105263

0.713068

0.047541

0

0.085714

0

0.162349

0.009326

0

1

0.014286

false

0

0.014286

0

0.042857

0

null

0

null

0

1

0

fcf41308fbf0ea2ddf14fd935e69cbfa21da77dc

1,274

py

Python

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

try: import logging import os except BaseException: print('Exception got in importing the module.') class makeLog: def __init__(self): current_dir = os.getcwd() if 'log_files' in os.listdir(current_dir): path = os.path.join(current_dir, 'log_files\\') ...

28.954545

66

0.530612

134

1,274

4.932836

0.358209

0.1059

0.151286

0.444781

0.360061

0.263238

0

0.358713

1,274

43

67

29.627907

0.809058

0

0.363636

0

0.112916

0

1

0.181818

false

0

0.090909

0

0.30303

0.030303

0

null

0

null

0

1

0

fcf6780f79287563663f060074514f87c285483f

1,618

py

Python

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

292

2021-12-24T03:24:33.000Z

2022-03-31T15:41:05.000Z

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

54

2021-12-24T06:40:09.000Z

2022-03-30T07:57:24.000Z

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

75

2021-12-24T04:48:21.000Z

2022-03-29T10:13:39.000Z

import os import argparse import time if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('input', type=str) parser.add_argument('output', type=str) args = parser.parse_args() os.makedirs(args.output) size = os.path.getsize(args.input) assert(size % 160 == 0...

29.962963

120

0.592089

231

1,618

3.939394

0.285714

0.026374

0.023077

0.036264

0.145055

0.082418

0

0.049622

0.265142

1,618

54

121

29.962963

0.715728

0

0.02439

0.083385

0

0.02439

1

0

false

0

0.073171

0

0.073171

0.02439

0

null

0

null

0

1

0

fcf7b3bbe71b81f791bb6c3c67628d01ea766d4a

836

py

Python

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

from ml_buff.models.input_data import InputData from ml_buff.database_helper import create_tables, drop_tables from ml_buff.models.base_model import database DATABASE = { 'drivername': 'postgresql', 'host': 'localhost', 'port': '5432', 'username': 'postgres', 'password': 'postgr...

26.125

73

0.671053

106

836

5.084906

0.537736

0.092764

0.055659

0.059369

0

0.019006

0.181818

836

31

74

26.967742

0.769006

0

0.206938

0.029904

0

1

0

false

0.043478

0.130435

0

0.130435

0.043478

0

null

0

null

0

1

0

fcf7d278277033217c65b945fa153e84b5082b8a

9,050

py

Python

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

import pygame import socket import errno import threading from button import Button from text import Text, TextFeed from textbox import TextBox from message import Message from instructions import Instruction from cards import Deck, Card class TitleScreen: UPDATE_FREQUENCY = 1000 def __init__(self, screen_si...

35.351563

119

0.572376

1,062

9,050

4.560264

0.188324

0.047491

0.066488

0.055751

0.367128

0.305389

0.230436

0.206484

0.186661

0

0.029812

0.318011

9,050

255

120

35.490196

0.754861

0.020884

0

0.223464

0

0.067073

0.006775

0

0.011173

1

0.050279

false

0

0.055866

0

0.139665

0

null

0

null

0

1

0

fcf84360ff359b57ca0fd18707821b983a769abc

1,357

py

Python

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

45

2017-11-19T06:54:07.000Z

2022-03-21T14:44:42.000Z

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

6

2017-12-12T05:33:16.000Z

2018-08-28T12:30:50.000Z

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

12

2017-12-12T04:43:04.000Z

2022-02-23T00:13:47.000Z

# import pytest from rlj import Judge, JudgeStatus, Config, makeConfig import os arguments = { '--O2': False, '--delete': False, '--genConfig': False, '--help': False, '--silent': False, '--version': False, '-c': 'config.yml', '-j': None, 'FILE': None } def getConfig(st): new...

23.396552

64

0.585851

173

1,357

4.479769

0.369942

0.117419

0.098065

0.061935

0.28129

0.229677

0.131613

0

0.032505

0.229182

1,357

57

65

23.807018

0.708413

0.00958

0

0.181818

0

0.127422

0

0.136364

1

0.113636

false

0

0.045455

0

0.181818

0.045455

0

null

0

null

0

1

0

fcfade839bbd2f518955cd01678b3f38bc653fa2

18,424

py

Python

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

#!/usr/bin/env python3 import itertools import random import subprocess import sys WELCOME_TEXT = """Welcome {name} to the land of Pavlisha. Many have entered this land but few have returned. Your quest is to slay the Bad King, who has stolen the Clock of Time. Without the Clock of Time it will be 2016 forever and ...

31.174281

104

0.651162

2,644

18,424

4.475794

0.238654

0.038449

0.01014

0.015379

0.163427

0.114163

0.069461

0.052391

0.036843

0.027632

0

0.016367

0.250543

18,424

590

105

31.227119

0.840672

0.003908

0

0.229581

0

0.002208

0.458859

0

1

0.039735

false

0.002208

0.00883

0.004415

0.094923

0.143488

0

null

0

null

0

1

0

fcfb1989c996cbe167fe37e33ab960b7feff5dd5

7,649

py

Python

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

42

2021-06-14T16:27:54.000Z

2022-03-23T09:51:42.000Z

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

1

2021-10-01T12:45:29.000Z

2021-10-03T18:06:39.000Z

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

5

2021-06-11T12:32:41.000Z

2022-02-17T16:13:15.000Z

# Copyright 2021 The WAX-ML Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in w...

31.093496

127

0.676298

1,142

7,649

4.410683

0.236427

0.01489

0.011912

0.415922

0.389915

0.341672

0.335517

0.302164

0

0.01403

0.226566

7,649

245

128

31.220408

0.83739

0.377173

0

0.534351

0

0.006145

0

0.076336

1

0.137405

false

0

0.061069

0.068702

0.312977

0

null

0

null

0

1

0

fcfc2b1fb4d4ad2e27520f6caefbdcadcd160c6c

2,814

py

Python

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

25

2022-03-28T06:26:16.000Z

2022-03-30T14:21:24.000Z

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

null

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

2

2022-03-29T09:37:50.000Z

2022-03-30T06:26:35.000Z

"""Functions to create objects to add to the visualizer""" import numpy as np import torch from .vtk_object import VTKObject def _convert_torch_to_numpy(arr): """If arr is torch.Tensor, return the numpy equivalent, else return arr as it is""" if isinstance(arr, torch.Tensor): arr = arr.detach()....

26.299065

80

0.672708

417

2,814

4.453237

0.33813

0.01077

0.072698

0.077544

0.054927

0.019386

0

0.021838

0.218905

2,814

106

81

26.54717

0.823021

0.344705

0

0.333333

0

1

0.185185

false

0

0.055556

0

0.425926

0

null

0

null

0

1

0