xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

9fc0d1b9a9c10748e46d20c0b5d1e05f290df6e6

1,769

py

Python

simpletextgenerator/models/worklist.py

thtroyer/simple-text-generator

2b84d5fc5efa6311331210cabfb74e4305fcf947

[ "MIT" ]

1

2018-08-04T02:01:15.000Z

simpletextgenerator/models/worklist.py

thtroyer/simple-text-generator

2b84d5fc5efa6311331210cabfb74e4305fcf947

[ "MIT" ]

21

2020-09-25T22:52:32.000Z

2021-07-07T01:40:27.000Z

simpletextgenerator/models/worklist.py

thtroyer/simple-text-generator

2b84d5fc5efa6311331210cabfb74e4305fcf947

[ "MIT" ]

1

2019-01-11T21:00:26.000Z

import abc from typing import List, Tuple class WorkList: def __init__(self, items_to_complete: Tuple): self._progress_current_task = 0 self._items_to_complete = items_to_complete self._current_item_index = 0 self._training_rate = 0 self._generating_rate = 0 def get_ti...

32.163636

111

0.701526

229

1,769

4.978166

0.209607

0.105263

0.118421

0.116667

0.39386

0.374561

0.328947

0.221053

0

0.014641

0.227812

1,769

54

112

32.759259

0.819912

0

0.128205

0

1

0.25641

false

0.025641

0.051282

0.487179

0

null

0

null

0

1

0

1

9fc11d45072844cb0cd37380e1602836f1deb636

2,547

py

Python

CistromeDB_metadata_QC_statistic_visualization(FRiP>0.25).py

yujijun/Higlass

0eec629a81a02d37a6872f3efee16da66accf832

[ "Apache-2.0" ]

null

CistromeDB_metadata_QC_statistic_visualization(FRiP>0.25).py

yujijun/Higlass

0eec629a81a02d37a6872f3efee16da66accf832

[ "Apache-2.0" ]

null

CistromeDB_metadata_QC_statistic_visualization(FRiP>0.25).py

yujijun/Higlass

0eec629a81a02d37a6872f3efee16da66accf832

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Sep 25 09:56:15 2019 @author: yujijun Description: QC by FRiP >= 0.25 and filter out non-information tissues Input: 03-Homo_sapiens_ca_DNase_QC(906)_add_info_mannually.csv Output: 04-Homo_sapiens_ca_DNase_QC(906)_non-info-tissue_FRiP0p25(5...

39.796875

142

0.709855

353

2,547

4.818697

0.379603

0.078189

0.10582

0.162258

0.326279

0.282187

0.253968

0.168136

0.130511

0

0.074286

0.175501

2,547

64

143

39.796875

0.735714

0.146839

0

0.055556

0.177696

0.141601

0

1

0

false

0

0.138889

0

0.138889

0

null

0

1

0

null

0

1

9fc2a29255c0ae2e9ff1820f112e173145cbae9c

1,558

py

Python

apply_alis.py

esalesky/vecalign

2d77bc94ae75545bf00a5b3a136a6c8808bc0dce

[ "Apache-2.0" ]

1

2021-02-07T12:50:42.000Z

apply_alis.py

esalesky/vecalign

2d77bc94ae75545bf00a5b3a136a6c8808bc0dce

[ "Apache-2.0" ]

null

apply_alis.py

esalesky/vecalign

2d77bc94ae75545bf00a5b3a136a6c8808bc0dce

[ "Apache-2.0" ]

null

import sys import json alifile = sys.argv[1] srcfile = sys.argv[2] tgtfile = sys.argv[3] outdir = sys.argv[4] src = sys.argv[5] tgt = sys.argv[6] mistakes = "summary."+src+"-"+tgt talk = srcfile.split('/')[1].split('.')[0] srcs = [] tgts = [] with open(srcfile,'r') as f: line = f.readline().strip() while ...

30.54902

165

0.516688

218

1,558

3.692661

0.293578

0.052174

0.096894

0.134161

0.455901

0.395031

0.26087

0.171429

0.09441

0

0.011797

0.292683

1,558

50

166

31.16

0.718693

0

0.214286

0

0.146341

0

1

0

false

0

0.047619

0

0.047619

0.142857

0

null

0

null

0

1

0

9fc3bb2c808aba76d2ab45c51a84200ca700599c

249

py

Python

ptsites/sites/52pt.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

202

2020-01-24T05:27:18.000Z

2021-06-22T09:31:54.000Z

ptsites/sites/52pt.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

16

2021-08-01T10:08:23.000Z

2022-02-04T04:18:08.000Z

ptsites/sites/52pt.py

kbnq/flexget_qbittorrent_mod

e52d9726b80aab94cf3d9ee6c382b6721b757d3b

[ "MIT" ]

62

2020-01-24T05:27:24.000Z

2021-06-16T04:46:22.000Z

from ..schema.nexusphp import BakatestHR class MainClass(BakatestHR): URL = 'https://52pt.site/' USER_CLASSES = { 'downloaded': [2748779069440, 6047313952768], 'share_ratio': [3.05, 4.55], 'days': [280, 700] }

20.75

53

0.598394

26

249

5.653846

0.961538

0

0.212766

0.24498

249

11

54

22.636364

0.569149

0

0.172691

0

1

0

false

0

0.125

0

0.5

0

1

0

null

0

1

0

null

0

2

9fc41abfd81f224dca3b66260e6fcdbb8fc02f87

2,095

py

Python

tests/accounts/test_models.py

NjengaSaruni/Accountant-Web-Server

e77124307f235a4a446e1251d2830d7587cb8719

[ "MIT" ]

null

tests/accounts/test_models.py

NjengaSaruni/Accountant-Web-Server

e77124307f235a4a446e1251d2830d7587cb8719

[ "MIT" ]

19

2018-12-10T20:06:21.000Z

2021-06-10T21:03:31.000Z

tests/accounts/test_models.py

NjengaSaruni/Accountant-Web-Server

e77124307f235a4a446e1251d2830d7587cb8719

[ "MIT" ]

null

from django.core.exceptions import ValidationError from django.test import TestCase from app.accounts.models import User class UserModelTestCase(TestCase): def setUp(self): self.user = User.objects.create(first_name='James', last_name='Njenga', password='this!@#', email='jamesn...

36.754386

79

0.644391

239

2,095

5.48954

0.238494

0.073171

0.112043

0.128049

0.536585

0.303354

0.270579

0.234756

0

0.025974

0.228162

2,095

56

80

37.410714

0.785405

0.010024

0

0.3

0

0.185944

0.104929

0

0.175

1

0.175

false

0.075

0

0.275

0

null

0

null

0

1

0

1

9fc41cd77d4e57818df84bb0ceeea19889bf81e8

29,754

py

Python

src/meadowgrid/coordinator_client.py

meadowdata/meadowflow

8d4d93e3de2ac8636eb8f5ce058c28b398684806

[ "MIT" ]

4

2021-12-23T16:08:12.000Z

2022-02-13T21:39:44.000Z

src/meadowgrid/coordinator_client.py

meadowdata/meadowflow

8d4d93e3de2ac8636eb8f5ce058c28b398684806

[ "MIT" ]

13

2021-12-07T21:54:12.000Z

2022-03-02T22:33:22.000Z

src/meadowgrid/coordinator_client.py

hrichardlee/meadowdata

5d302956474d9f53c43afa0d7ce9a4b4d98591c5

[ "MIT" ]

1

2021-11-14T17:39:12.000Z

from __future__ import annotations import json import pickle from types import TracebackType from typing import ( Any, Dict, Iterable, List, Literal, Optional, Sequence, Tuple, Type, Union, ) import grpc import grpc.aio from meadowgrid.config import ( DEFAULT_COORDINATOR_A...

34.517401

90

0.660214

3,187

29,754

5.871352

0.143709

0.017636

0.009833

0.008016

0.502351

0.469859

0.445329

0.404019

0.389269

0.386704

0

0.001888

0.270216

29,754

861

91

34.557491

0.85986

0.097634

0

0.451923

0

0.03085

0.008103

0

0.005807

0

1

0.052885

false

0

0.019231

0.016026

0.136218

0

null

0

null

0

1

0

9fc445c6165c6d787145e2412f48a99144d7b211

162

py

Python

mobycity/contact/urls.py

LucienD/Mobct

1c8422b30c205bdb2dc21c988f74280194980ec4

[ "MIT" ]

null

mobycity/contact/urls.py

LucienD/Mobct

1c8422b30c205bdb2dc21c988f74280194980ec4

[ "MIT" ]

null

mobycity/contact/urls.py

LucienD/Mobct

1c8422b30c205bdb2dc21c988f74280194980ec4

[ "MIT" ]

null

from django.conf.urls import patterns, url from contact import views urlpatterns = patterns( '', url(r'^$', views.contact_form, name='contact_form'), )

18

56

0.697531

21

162

5.285714

0.619048

0.198198

0

0.166667

162

9

57

18

0.822222

0

0.08589

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

9fc5e1ec082c1dc64629283b6d98a6ca4c9dc871

7,387

py

Python

mlprodict/testing/einsum/blas_lapack.py

henrywu2019/mlprodict

4c09dc39d5ba7a7235fa321d80c81b5bf4f078ad

[ "MIT" ]

null

mlprodict/testing/einsum/blas_lapack.py

henrywu2019/mlprodict

4c09dc39d5ba7a7235fa321d80c81b5bf4f078ad

[ "MIT" ]

null

mlprodict/testing/einsum/blas_lapack.py

henrywu2019/mlprodict

4c09dc39d5ba7a7235fa321d80c81b5bf4f078ad

[ "MIT" ]

null

""" @file @brief Direct calls to libraries :epkg:`BLAS` and :epkg:`LAPACK`. """ import numpy from scipy.linalg.blas import sgemm, dgemm # pylint: disable=E0611 from .direct_blas_lapack import ( # pylint: disable=E0401,E0611 dgemm_dot, sgemm_dot) def pygemm(transA, transB, M, N, K, alpha, A, lda, B, ldb, beta, C...

36.935

76

0.447137

1,030

7,387

3.094175

0.107767

0.018199

0.055224

0.060245

0.585817

0.508943

0.475055

0.474427

0.442736

0

0.028839

0.422634

7,387

199

77

37.120603

0.718406

0.046027

0

0.443787

0

0.080092

0

1

0.017751

false

0

0.017751

0

0.159763

0

null

0

null

0

1

0

9fc68a4cdb7aede2fa706f461d87678b1999a5be

1,037

py

Python

Dataset/Leetcode/train/28/46.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/28/46.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/28/46.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: """ first time: total time: time complexity:O(m+n) space complexity:O(m+n) idea:KMP算法。将needle字符串、"#"、haystack字符串连接组成新的字符串s，利用kmp算法记录下needle字符串的所有位置的前缀函数值，迭代s中haystack部分字符串，依次计算每个位置的前缀函数值，但不用记录下来，只需用一个临时变量记下上一个位置的前缀函数值即可，直到找到某个位置的前缀函数值为m，停止迭代，利用停止迭代的下标值可以计算出needle字符串第一次在haystack中...

28.805556

214

0.528447

118

1,037

4.644068

0.398305

0.014599

0.058394

0.065693

0.189781

0.10219

0.054745

0

0.020927

0.35487

1,037

35

215

29.628571

0.798206

0.057859

0

0.26087

0

null

0

null

0

null

0

null

0

1

0

1

9fc751ca772d95c9fba3fd41ba8e849861b0bb38

942

py

Python

vnpy/app/pytdx_loader/my_pytdx/export_csv_process/deal_data_from_tdx_export.py

zskycode/vnpy

441de3ede2e3001661dfc030c8cbe1c860257f56

[ "MIT" ]

null

vnpy/app/pytdx_loader/my_pytdx/export_csv_process/deal_data_from_tdx_export.py

zskycode/vnpy

441de3ede2e3001661dfc030c8cbe1c860257f56

[ "MIT" ]

null

vnpy/app/pytdx_loader/my_pytdx/export_csv_process/deal_data_from_tdx_export.py

zskycode/vnpy

441de3ede2e3001661dfc030c8cbe1c860257f56

[ "MIT" ]

null

# -*- coding:utf-8 -*- __author__ = 'Fangyang' import pandas as pd if __name__ == '__main__': df = pd.read_csv('30#RBL8.csv', '\t', encoding='gbk', skiprows=1) df.dropna(inplace=True) df.columns = [i.strip() for i in df.columns] df['时间'] = df['时间'].apply(lambda x: f' {int(x):04d}') df['datetime']...

28.545455

88

0.505308

124

942

3.66129

0.548387

0.059471

0.026432

0

0.014556

0.270701

942

32

89

29.4375

0.646288

0.021231

0

0.215217

0

1

0

false

0

0.038462

0

0.038462

0

null

0

null

0

1

0

9fc81a8e3744dff7164a87f49c91d191a525afcd

2,270

py

Python

actigamma/inventory.py

markharley12/actigamma

d53f312f34e1836ac59492af0ef34949f88dce00

[ "Apache-2.0" ]

null

actigamma/inventory.py

markharley12/actigamma

d53f312f34e1836ac59492af0ef34949f88dce00

[ "Apache-2.0" ]

null

actigamma/inventory.py

markharley12/actigamma

d53f312f34e1836ac59492af0ef34949f88dce00

[ "Apache-2.0" ]

null

""" A module for defining inventories of unstable nuclides """ import collections from .exceptions import UnphysicalValueException class UnstablesInventory(): """ A simple data structure to represent inventory data. A list of zais and activities (Bq). Note that this should only be us...

29.480519

86

0.588546

272

2,270

4.808824

0.415441

0.058869

0.022936

0.038991

0.154434

0.133028

0

0.017567

0.322907

2,270

76

87

29.868421

0.833442

0.311894

0

0.235294

0

0.121987

0

0.013158

0

1

0.235294

false

0

0.058824

0.088235

0.5

0

null

0

null

0

1

0

1

0

2

9fc869508ae4d45a48987984f851c74c934ef136

93

py

Python

kobra/__main__.py

jDan735/kobra

28c6c968cde9058741544b7e22ca117826ca26d8

[ "MIT" ]

null

kobra/__main__.py

jDan735/kobra

28c6c968cde9058741544b7e22ca117826ca26d8

[ "MIT" ]

null

kobra/__main__.py

jDan735/kobra

28c6c968cde9058741544b7e22ca117826ca26d8

[ "MIT" ]

null

import kobra.core def main(): kobra.core.kobra() if __name__ == "__main__": main()

11.625

26

0.623656

12

93

4.166667

0.583333

0.36

0

0.215054

93

7

27

13.285714

0.684932

0

0.086022

0

1

0.2

true

0

0.2

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

9fc9c247d6481a1122f3f4d83c3c28ba389eea83

1,903

py

Python

Davies_etal_GMD_2021/2D_cartesian/compressible_case/manual_diff_compressible_base.py

sghelichkhani/G-ADOPT

fc0144a6779b59899151b845a828d5357c36a372

[ "MIT" ]

6

2021-11-04T02:49:30.000Z

2022-02-11T10:01:04.000Z

Davies_etal_GMD_2021/2D_cartesian/compressible_case/manual_diff_compressible_base.py

sghelichkhani/G-ADOPT

fc0144a6779b59899151b845a828d5357c36a372

[ "MIT" ]

null

Davies_etal_GMD_2021/2D_cartesian/compressible_case/manual_diff_compressible_base.py

sghelichkhani/G-ADOPT

fc0144a6779b59899151b845a828d5357c36a372

[ "MIT" ]

null

# Additional constants and definition of compressible reference state: Ra = Constant(1e5) # Rayleigh number Di = Constant(0.5) # Dissipation number T0 = Constant(0.091) # Non-dimensional surface temperature tcond = Constant(1.0) # Thermal conductivity rho_0, alpha, cpr, cvr, gruneisen = 1.0, 1.0, 1.0, 1.0, 1.0 rhobar =...

61.387097

261

0.583815

243

1,903

4.514403

0.395062

0.021878

0.071103

0.014585

0.025524

0.009116

0

0.028725

0.121913

1,903

30

262

63.433333

0.627768

0.130846

0

0.142857

0

0.0743

0.045676

0

null

0

null

0

null

0

null

0

1

0

1

9fca9f7d491a694fff98012f4e6702309d723b8f

3,229

py

Python

chapter_3/api_limit/main.py

rinjyu/the_red

c099e830ae3ee9063c3e9d29f4ee627241c7eeed

[ "Apache-2.0" ]

13

2021-07-26T06:09:19.000Z

2022-03-22T07:01:22.000Z

chapter_3/api_limit/main.py

rinjyu/the_red

c099e830ae3ee9063c3e9d29f4ee627241c7eeed

[ "Apache-2.0" ]

11

2021-07-25T03:35:25.000Z

2021-08-13T23:05:38.000Z

chapter_3/api_limit/main.py

rinjyu/the_red

c099e830ae3ee9063c3e9d29f4ee627241c7eeed

[ "Apache-2.0" ]

8

2021-09-02T14:54:17.000Z

2022-03-14T10:28:37.000Z

from typing import Optional from fastapi import FastAPI, Request, Response from fastapi.responses import JSONResponse from pydantic import BaseModel from bs4 import BeautifulSoup from datetime import datetime import hashlib import struct import logging import json_logging import urllib.parse import redis import httpx ...

25.626984

91

0.672344

438

3,229

4.86758

0.312785

0.022514

0.033771

0.056285

0.093809

0.031895

0

0.017127

0.204398

3,229

125

92

25.832

0.812768

0

0.021277

0

0.106225

0

1

0.042553

false

0

0.234043

0.010638

0.351064

0

null

0

null

0

1

0

9fcb3dd5ea45fa154b7c723d953ac5bdd41cf155

142

py

Python

source-code-from-author-book/Listings-for-Second-Edition/listing_5_5.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

source-code-from-author-book/Listings-for-Second-Edition/listing_5_5.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

source-code-from-author-book/Listings-for-Second-Edition/listing_5_5.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

def hash(astring, tablesize): sum = 0 for pos in range(len(astring)): sum = sum + ord(astring[pos]) return sum%tablesize

20.285714

37

0.612676

20

142

4.35

0.65

0

0.009615

0.267606

142

6

38

23.666667

0.826923

0

1

0.2

false

0

0.4

0

1

0

null

0

1

0

null

0

2

9fcc6f1e1e7f1be00621469ed65e90c025c47ebf

3,270

py

Python

google-cloud-os_login/synth.py

kawabatas/google-cloud-ruby

525ea553b1887f70ac85f8c70a489b04df17a2da

[ "Apache-2.0" ]

1

2018-09-09T03:50:51.000Z

google-cloud-os_login/synth.py

kawabatas/google-cloud-ruby

525ea553b1887f70ac85f8c70a489b04df17a2da

[ "Apache-2.0" ]

null

google-cloud-os_login/synth.py

kawabatas/google-cloud-ruby

525ea553b1887f70ac85f8c70a489b04df17a2da

[ "Apache-2.0" ]

null

import synthtool as s import synthtool.gcp as gcp import logging import re logging.basicConfig(level=logging.DEBUG) gapic = gcp.GAPICGenerator() # Temporary until we get Ruby-specific tools into synthtool def merge_gemspec(src, dest, path): regex = re.compile(r'^\s+gem.version\s*=\s*"[\d\.]+"$', flags=re.MULTIL...

34.421053

116

0.656269

478

3,270

4.378661

0.23431

0.13139

0.10559

0.146202

0.64214

0.571906

0.497372

0.35786

0.321548

0.29097

0

0.022191

0.131804

3,270

94

117

34.787234

0.715041

0.098165

0

0.298701

0

0.038961

0.470088

0.342624

0

1

0.025974

false

0

0.051948

0

0.103896

0

null

0

null

0

1

0

9fcd5f20a314e26094f35885214b213594b50dd7

1,341

py

Python

Events/Announcements.py

GhostyCatt/TheCloud

4693865268935d55dad948270f0cf35dee64e2cb

[ "MIT" ]

2

2021-09-21T03:00:55.000Z

2021-10-03T11:59:27.000Z

Events/Announcements.py

GhostyCatt/TheCloud

4693865268935d55dad948270f0cf35dee64e2cb

[ "MIT" ]

1

2021-09-22T11:29:39.000Z

Events/Announcements.py

GhostyCatt/TheCloud

4693865268935d55dad948270f0cf35dee64e2cb

[ "MIT" ]

1

2021-09-19T19:43:17.000Z

# Library Imports import nextcord, json from nextcord.ext import commands # Custom Imports from Functions.Embed import * # Options from Json with open('Config/Options.json') as RawOptions: Options = json.load(RawOptions) # onMessage Class class Tags(commands.Cog): def __init__(self, bot:commands.Bot): ...

29.152174

110

0.623415

163

1,341

5.092025

0.447853

0.039759

0.033735

0

0.281879

1,341

46

111

29.152174

0.86189

0.196868

0

0.043478

0.158668

0.083252

0

1

0.086957

false

0

0.130435

0

0.26087

0

null

0

null

0

1

0

9fcdc078a3c5fc9a267aa5dee40a6497f21a1428

1,469

py

Python

ArchiveTestScripts/TestMappingToolsPoint.py

simon-m-mudd/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

34

2017-01-31T17:03:26.000Z

2021-09-15T17:23:21.000Z

ArchiveTestScripts/TestMappingToolsPoint.py

simon-m-mudd/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

14

2017-01-11T19:45:08.000Z

2020-11-03T16:36:38.000Z

ArchiveTestScripts/TestMappingToolsPoint.py

LSDtopotools/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

21

2015-11-26T10:24:19.000Z

2021-09-15T17:23:22.000Z

#============================================================================== # These are some scripts for testing the functionality of LSDMappingTools #============================================================================== # -*- coding: utf-8 -*- """ Created on Mon May 22 14:08:16 2016 @author: smudd """ i...

28.803922

80

0.633764

129

1,469

7.031008

0.581395

0.061742

0.072767

0.08269

0.2172

0.154355

0

0.010569

0.162696

1,469

51

81

28.803922

0.726829

0.354663

0

0.167235

0.075085

0

null

0

0.1

null

0.1

0

null

0

null

0

1

0

1

4c7c20cba3230b3e6d55458b5081946f8702b692

4,156

py

Python

mivp.py

IgiArdiyanto/control-engineering-with-python

18ca06d339d6c2391ce77ac73e552f20f85cee30

[ "CC-BY-4.0" ]

null

mivp.py

IgiArdiyanto/control-engineering-with-python

18ca06d339d6c2391ce77ac73e552f20f85cee30

[ "CC-BY-4.0" ]

null

mivp.py

IgiArdiyanto/control-engineering-with-python

18ca06d339d6c2391ce77ac73e552f20f85cee30

[ "CC-BY-4.0" ]

null

# Third-Party Libraries import numpy as np import scipy.integrate as sci import matplotlib.pyplot as plt import matplotlib.animation as ani def solve(**kwargs): kwargs = kwargs.copy() kwargs["dense_output"] = True y0s = kwargs["y0s"] del kwargs["y0s"] results = [] for y0 in y0s: kwargs...

31.014925

75

0.550529

626

4,156

3.527157

0.238019

0.014493

0.006793

0.021739

0.12817

0.11096

0.057065

0.024457

0

0.029582

0.292348

4,156

133

76

31.24812

0.721183

0.127045

0

0.10101

0

0.041863

0

0.010101

1

0.050505

false

0

0.040404

0

0.121212

0.010101

0

null

0

null

0

1

0

4c7cf06f6615026f91a04b38e7f6379eff09c2c5

1,962

py

Python

backpack/core/derivatives/batchnorm2d.py

maryamhgf/backpack

63d2717656df2e0f18b3b6ee50320e82ce7358b6

[ "MIT" ]

null

backpack/core/derivatives/batchnorm2d.py

maryamhgf/backpack

63d2717656df2e0f18b3b6ee50320e82ce7358b6

[ "MIT" ]

null

backpack/core/derivatives/batchnorm2d.py

maryamhgf/backpack

63d2717656df2e0f18b3b6ee50320e82ce7358b6

[ "MIT" ]

2

2021-06-11T14:15:28.000Z

2021-06-16T11:19:11.000Z

from warnings import warn from torch import einsum from torch.nn import BatchNorm2d import torch from backpack.core.derivatives.basederivatives import BaseParameterDerivatives class BatchNorm2dDerivatives(BaseParameterDerivatives): def get_module(self): return BatchNorm2d def hessian_is_zero(self): ...

31.645161

78

0.633028

266

1,962

4.413534

0.296992

0.041738

0.059625

0.065588

0.482964

0.413118

0.398637

0

0.009233

0.282365

1,962

61

79

32.163934

0.824574

0.029052

0

0.326087

0

0.089905

0

0.016393

0

1

0.217391

false

0

0.108696

0.152174

0.586957

0

null

0

null

0

1

0

1

0

1

0

3

4c7e6bd77ab65323eb06473f3ed2421080810b4e

1,527

py

Python

python/tree/0687_longest_univalue_path.py

linshaoyong/leetcode

ea052fad68a2fe0cbfa5469398508ec2b776654f

[ "MIT" ]

6

2019-07-15T13:23:57.000Z

2020-01-22T03:12:01.000Z

python/tree/0687_longest_univalue_path.py

linshaoyong/leetcode

ea052fad68a2fe0cbfa5469398508ec2b776654f

[ "MIT" ]

null

python/tree/0687_longest_univalue_path.py

linshaoyong/leetcode

ea052fad68a2fe0cbfa5469398508ec2b776654f

[ "MIT" ]

1

2019-07-24T02:15:31.000Z

# Definition for a binary tree node. class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def longestUnivaluePath(self, root): """ :type root: TreeNode :rtype: int """ self.longest...

22.130435

72

0.535036

209

1,527

3.866029

0.220096

0.111386

0.02599

0.029703

0.350248

0.240099

0

0.026

0.345121

1,527

68

73

22.455882

0.782

0.044532

0

0.446429

0

0.053571

1

0.071429

false

0

0.160714

0

null

0

null

0

1

0

4c7ee32f103861f2bdf80dc4d5169437dce47947

607

py

Python

utils/no_accent_vietnamese.py

thanhhocse96/hcmut-simple-qna-nlp

695578ea41e52a29499b69a82397e39a35b87ed9

[ "MIT" ]

null

utils/no_accent_vietnamese.py

thanhhocse96/hcmut-simple-qna-nlp

695578ea41e52a29499b69a82397e39a35b87ed9

[ "MIT" ]

null

utils/no_accent_vietnamese.py

thanhhocse96/hcmut-simple-qna-nlp

695578ea41e52a29499b69a82397e39a35b87ed9

[ "MIT" ]

null

import re def no_accent_vietnamese(s): s = re.sub(r'[àáạảãâầấậẩẫăằắặẳẵ]', 'a', s) s = re.sub(r'[ÀÁẠẢÃĂẰẮẶẲẴÂẦẤẬẨẪ]', 'A', s) s = re.sub(r'[èéẹẻẽêềếệểễ]', 'e', s) s = re.sub(r'[ÈÉẸẺẼÊỀẾỆỂỄ]', 'E', s) s = re.sub(r'[òóọỏõôồốộổỗơờớợởỡ]', 'o', s) s = re.sub(r'[ÒÓỌỎÕÔỒỐỘỔỖƠỜỚỢỞỠ]', 'O', s) s = r...

31.947368

46

0.492586

107

607

2.775701

0.242991

0.094276

0.188552

0.329966

0.690236

0.6633

0.59596

0.552189

0

0.2257

607

19

47

31.947368

0.631915

0

0.289474

0

1

0.058824

false

0

0.058824

0

0.176471

0

null

0

1

0

null

0

2

4c7ef5af9648a44ab563c7f58736739886217b9f

1,362

py

Python

run_prod.py

quaintm/octopus

95a732207ee5f43cd0065d8ea6c643cbf3df2d61

[ "BSD-3-Clause" ]

null

run_prod.py

quaintm/octopus

95a732207ee5f43cd0065d8ea6c643cbf3df2d61

[ "BSD-3-Clause" ]

null

run_prod.py

quaintm/octopus

95a732207ee5f43cd0065d8ea6c643cbf3df2d61

[ "BSD-3-Clause" ]

null

from logging import INFO, getLogger, Formatter from logging.handlers import TimedRotatingFileHandler from gevent.wsgi import WSGIServer import os from octopus.app import create_app from octopus.settings import ProdConfig def main(): # Init the app app = create_app(ProdConfig) if not os.path.exists(os.path.dir...

34.05

87

0.68649

160

1,362

5.6375

0.41875

0.124169

0.113082

0.069845

0.075388

0

0.209251

1,362

40

88

34.05

0.837512

0.037445

0

0.035714

0.117737

0.018349

0

null

0

0.214286

null

0.035714

0

null

0

null

0

1

0

1

4c7ef9027ceaf92eb61c91378c1f43643f9bf1e2

604

py

Python

global_config.py

mlscoder/douyin_robot

efb0495b902eecda4fc7afec254796ced6d73fba

[ "MIT" ]

6

2020-09-20T05:36:46.000Z

2022-01-03T11:20:02.000Z

global_config.py

mlscoder/douyin_robot

efb0495b902eecda4fc7afec254796ced6d73fba

[ "MIT" ]

null

global_config.py

mlscoder/douyin_robot

efb0495b902eecda4fc7afec254796ced6d73fba

[ "MIT" ]

5

2020-10-09T03:54:15.000Z

2022-01-03T11:19:56.000Z

# -- coding: utf-8 -- # 当前版本 VERSION = "0.0.1" DEBUG_SWITCH = True FACE_PATH = 'face/' # 你的adb安装目录中间不能有空格 adb_path = "D:\\ClockworkMod\\Universal\\adb.exe" # 视频下载目录需要先创建目录没有新增创建方法 localVideoPath = 'E:/download' # 模拟器视频存放地址 # 我使用的逍遥模拟器，不同模拟器储存路径不一样，需要确认 address = '/storage/emulated/0/DCIM/Camera/' # 百度开放人脸识别API...

18.875

49

0.754967

66

604

6.818182

0.893939

0

0.060491

0.124172

604

31

50

19.483871

0.79017

0.316225

0

0.501247

0.448878

0

1

0

false

0

null

0

1

null

0

1

4c7f9dd3621cafca3e66c672329e6080fd0e396e

850

py

Python

gore/tests/test_groups_api.py

akx/gentry

f4205f5a14054231d064657347862a15ecf4c0e0

[ "MIT" ]

4

2017-07-26T13:23:06.000Z

2019-02-21T14:55:34.000Z

gore/tests/test_groups_api.py

akx/gentry

f4205f5a14054231d064657347862a15ecf4c0e0

[ "MIT" ]

26

2017-08-02T08:52:06.000Z

2022-03-04T15:13:26.000Z

gore/tests/test_groups_api.py

akx/gentry

f4205f5a14054231d064657347862a15ecf4c0e0

[ "MIT" ]

null

import json import pytest from django.utils.encoding import force_str from gore.tests.utils import create_events from gore.utils.event_grouper import group_events @pytest.mark.django_db def test_groups_api(project, admin_client): events = create_events(project, 10) group_events(project, events) list_res...

34

116

0.727059

131

850

4.503817

0.351145

0.061017

0.054237

0.159322

0.128814

0

0.010825

0.130588

850

24

117

35.416667

0.787551

0

0.082353

0

0.277778

1

0.111111

false

0

0.277778

0

0.388889

0

null

0

null

0

1

0

4c81e0b91aee1874fb0847aaca9e6ba1817a18a0

3,084

py

Python

app/base/models.py

Sharp-Objects/dashboard

4dbc64ce725d39e235c09405e720abc71f22f1c8

[ "MIT" ]

null

app/base/models.py

Sharp-Objects/dashboard

4dbc64ce725d39e235c09405e720abc71f22f1c8

[ "MIT" ]

15

2021-06-19T09:28:20.000Z

2021-06-20T07:03:08.000Z

app/base/models.py

Sharp-Objects/dashboard

4dbc64ce725d39e235c09405e720abc71f22f1c8

[ "MIT" ]

null

# -*- encoding: utf-8 -*- """ Copyright (c) 2021 - present SharpObjects """ from datetime import datetime from flask_login import UserMixin from sqlalchemy import Binary, Column, Integer, String, TIMESTAMP from app import db, login_manager from app.base.util import hash_pass class Recommendation(db.Model, UserMixin...

29.371429

84

0.653696

371

3,084

5.19407

0.253369

0.067462

0.033212

0.051894

0.445252

0.442657

0.412558

0.365854

0.318111

0

0.006321

0.230545

3,084

104

85

29.653846

0.805731

0.021401

0

0.405405

0

0.040864

0.014618

0

1

0.135135

false

0.054054

0.067568

0.675676

0.027027

0

null

0

null

0

1

0

1

4c84f647ccee627d658ba14428984f8bae4c5f2e

2,134

py

Python

example.py

filipinascimento/dbgz

a3b10e89c78377c00978da0a876f5ad8e8416794

[ "BSD-3-Clause" ]

null

example.py

filipinascimento/dbgz

a3b10e89c78377c00978da0a876f5ad8e8416794

[ "BSD-3-Clause" ]

null

example.py

filipinascimento/dbgz

a3b10e89c78377c00978da0a876f5ad8e8416794

[ "BSD-3-Clause" ]

null

import dbgz from tqdm.auto import tqdm # Defining a scheme scheme = [ ("anInteger","i"), ("aFloat","f"), ("aString","s"), ("anIntArray","I"), ("aFloatArray","F"), ("anStringArray","S"), ] # Writing some data to a dbgz file totalCount = 1000000; with dbgz.DBGZWriter("test.dbgz",scheme) as fd: # New entr...

27.358974

94

0.671978

295

2,134

4.854237

0.322034

0.013966

0.044693

0.046089

0.363128

0.342179

0

0.027273

0.175258

2,134

77

95

27.714286

0.786364

0.108716

0

0.288136

0

0.108822

0.011622

0

0.050847

1

0

false

0

0.033898

0

0.033898

0.050847

0

null

0

null

0

1

0

4c86a51544001c2dfc13bb79a6366ed8c9dfd180

2,994

py

Python

tests/test_graphql.py

d-danilkin/ariadne

62b1363752394439f21d8be1b48074b4ba280493

[ "BSD-3-Clause" ]

1,778

2018-07-09T09:54:24.000Z

2022-03-31T18:22:56.000Z

tests/test_graphql.py

d-danilkin/ariadne

62b1363752394439f21d8be1b48074b4ba280493

[ "BSD-3-Clause" ]

639

2018-07-12T12:39:25.000Z

2022-03-28T04:02:52.000Z

tests/test_graphql.py

d-danilkin/ariadne

62b1363752394439f21d8be1b48074b4ba280493

[ "BSD-3-Clause" ]

154

2018-08-10T18:50:49.000Z

2022-03-31T17:48:14.000Z

import pytest from graphql import GraphQLError from graphql.validation.rules import ValidationRule from ariadne import graphql, graphql_sync, subscribe class AlwaysInvalid(ValidationRule): def leave_operation_definition( # pylint: disable=unused-argument self, *args, **kwargs ): self.context...

31.851064

88

0.690381

330

2,994

6.027273

0.20303

0.031674

0.085973

0.066365

0.807441

0.777778

0.768225

0.677728

0.62544

0.528406

0

0.002447

0.181029

2,994

93

89

32.193548

0.808728

0.010354

0

0.527778

0

0.194191

0

0.25

1

0.055556

false

0

0.055556

0

0.125

0

null

0

1

0

null

0

3

4c89860afb4f5c0a1a774e264d8171fe2b027967

116

py

Python

codeup/2782.py

shinkeonkim/today-ps

f3e5e38c5215f19579bb0422f303a9c18c626afa

[ "Apache-2.0" ]

2

2020-01-29T06:54:41.000Z

2021-11-07T13:23:27.000Z

codeup/2782.py

shinkeonkim/Today_PS

bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44

[ "Apache-2.0" ]

null

codeup/2782.py

shinkeonkim/Today_PS

bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44

[ "Apache-2.0" ]

null

from math import factorial as f a,b =map(int,input().split()) a-=1 b-=1 print((f(a+b) // (f(a) * f(b))) %1000000000)

23.2

44

0.603448

25

116

2.8

0.6

0.085714

0

0.118812

0.12931

116

5

44

23.2

0.574257

0

1

0

true

0

0.2

0

0.2

1

0

null

0

1

0

null

0

1

0

3

4c89b04a077491bd121c0b5380c9d59cfa2be2d5

2,298

py

Python

model.py

Shellyga/Adversarial-Domain-Adaptation-with-Keras

cb8f0d083ba8d59c91c3371bf62438ba1e679f4a

[ "MIT" ]

27

2019-09-27T03:05:15.000Z

2021-11-15T18:29:32.000Z

model.py

Shellyga/Adversarial-Domain-Adaptation-with-Keras

cb8f0d083ba8d59c91c3371bf62438ba1e679f4a

[ "MIT" ]

3

2020-04-09T03:02:56.000Z

2020-09-29T02:00:21.000Z

model.py

Shellyga/Adversarial-Domain-Adaptation-with-Keras

cb8f0d083ba8d59c91c3371bf62438ba1e679f4a

[ "MIT" ]

8

2020-03-11T12:04:46.000Z

2021-12-10T12:48:06.000Z

import random import numpy as np from keras.models import Model from keras.applications.resnet50 import ResNet50 from keras.layers import Input, Conv2D, MaxPool2D, Flatten, Dense from keras.layers import BatchNormalization, Activation, Dropout def build_embedding(param, inp): network = eval(param["network_name"]) ...

39.62069

84

0.70322

286

2,298

5.475524

0.241259

0.063218

0.045977

0.04023

0.530651

0.44636

0.086845

0

0.035361

0.163185

2,298

58

85

39.62069

0.778991

0

0.106383

0

0.15659

0

1

0.12766

false

0

0.12766

0

0.382979

0

null

0

null

0

1

0

4c8c52db67d8c73d5f8888df4a3820dbf62cb559

11,068

py

Python

trainers/dualsdf_trainer.py

zekunhao1995/DualSDF

177a102b315949bfa59a6ae1c47de52ddbea6eaa

[ "MIT" ]

107

2020-04-07T01:15:14.000Z

2022-03-17T09:32:46.000Z

trainers/dualsdf_trainer.py

zekunhao1995/DualSDF

177a102b315949bfa59a6ae1c47de52ddbea6eaa

[ "MIT" ]

6

2020-05-16T00:41:28.000Z

2021-04-27T16:04:21.000Z

trainers/dualsdf_trainer.py

zekunhao1995/DualSDF

177a102b315949bfa59a6ae1c47de52ddbea6eaa

[ "MIT" ]

17

2020-04-14T10:50:24.000Z

2022-01-20T09:43:08.000Z

import os import numpy as np # PyTorch import torch import torch.nn as nn import torch.nn.functional as F import importlib import itertools from trainers.base_trainer import BaseTrainer import toolbox.lr_scheduler import models.embeddings def KLD(mu, logvar): KLD = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar...

43.403922

153

0.634984

1,465

11,068

4.537884

0.159044

0.021059

0.029483

0.011282

0.272262

0.174338

0.076564

0.018351

0.006318

0

0.01469

0.249639

11,068

254

154

43.574803

0.785792

0.041652

0

0.075758

0

0.065967

0.019091

0

1

0.090909

false

0

0.080808

0

0.237374

0.050505

0

null

0

null

0

1

0

4c8c896fdc27ee3c019aaff66effafb8eec960ab

1,355

py

Python

demo/prefix.py

lechat/jenkinsflow

87396069dda4f0681829e5d4e264e4f09ae34131

[ "BSD-3-Clause" ]

null

demo/prefix.py

lechat/jenkinsflow

87396069dda4f0681829e5d4e264e4f09ae34131

[ "BSD-3-Clause" ]

null

demo/prefix.py

lechat/jenkinsflow

87396069dda4f0681829e5d4e264e4f09ae34131

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # Copyright (c) 2012 - 2015 Lars Hupfeldt Nielsen, Hupfeldt IT # All rights reserved. This work is under a BSD license, see LICENSE.TXT. import demo_setup demo_setup.sys_path() from jenkinsflow.flow import serial import demo_security as security def main(api): with serial(api, timeout=70, ...

36.621622

133

0.690775

185

1,355

4.864865

0.508108

0.062222

0.066667

0.08

0.144444

0.082222

0

0.040854

0.205166

1,355

36

134

37.638889

0.7948

0.222878

0

0.107824

0.024809

0

1

0.047619

false

0.047619

0.238095

0

0.285714

0

null

0

null

0

1

0

4c8d5df56e5c869cf814f4c9392ec927f0c539f7

3,010

py

Python

xos/tosca/tests/observertest.py

xmaruto/mcord

3678a3d10c3703c2b73f396c293faebf0c82a4f4

[ "Apache-2.0" ]

null

xos/tosca/tests/observertest.py

xmaruto/mcord

3678a3d10c3703c2b73f396c293faebf0c82a4f4

[ "Apache-2.0" ]

5

2020-06-05T17:47:15.000Z

2021-09-23T23:21:27.000Z

xos/tosca/tests/observertest.py

pan2za/xos

c2a4da2ccaa12360b2718be303b247866aefdfe6

[ "Apache-2.0" ]

null

from basetest import * import logging import StringIO import subprocess import sys from synchronizers.base.event_loop import XOSObserver from synchronizers.model_policy import run_policy_once from xos.config import set_override from xos.logger import Logger, observer_logger class BaseObserverToscaTest(BaseToscaTest)...

30.714286

98

0.634219

339

3,010

5.39823

0.306785

0.04918

0.030601

0.039344

0.244809

0.229508

0.138798

0

0.000453

0.26711

3,010

97

99

31.030928

0.829102

0

0.285714

0

0.109671

0.015287

0

null

0

0.116883

null

0.116883

0

null

0

null

0

1

0

1

4c8d7876159f4f21ee120eba231f0b4deb1ae81c

11,763

py

Python

pub/dispatcher/folder/functions/provider.py

DASTUDIO/MyVHost

b9eda56a67c2df9236b7866087bc7f465542f951

[ "MIT" ]

2

2021-07-27T10:38:57.000Z

2021-10-10T20:42:56.000Z

pub/dispatcher/folder/functions/provider.py

DASTUDIO/MyVHost

b9eda56a67c2df9236b7866087bc7f465542f951

[ "MIT" ]

null

pub/dispatcher/folder/functions/provider.py

DASTUDIO/MyVHost

b9eda56a67c2df9236b7866087bc7f465542f951

[ "MIT" ]

null

# coding=utf-8 import time import pub.response.error as error import pub.settings as s import pub.tables.resources as resource import pub.tables.template as template import pub.tables.comments as comments import pub.tables.user as user import pub.response.json as j from django.core.paginator import Paginator,EmptyPa...

29.629723

108

0.529202

1,369

11,763

4.375457

0.119065

0.015359

0.035058

0.594324

0.54207

0.526878

0.455593

0.420534

0

0.004718

0.351271

11,763

397

109

29.629723

0.780239

0.020148

0

0.571942

0

0.076736

0

1

0.032374

false

0.028777

0.053957

0

0.183453

0

null

0

null

0

1

0

4c8db11b7dd7dcf2b6211c1f0a40f4d60d60fa2d

5,932

py

Python

heart_rate_job.py

aws-samples/analysis-of-medical-device-data-using-data-lake

8f6d9b9da671781d74c3fb16e2603c36fb412047

[ "Apache-2.0", "MIT-0" ]

null

heart_rate_job.py

aws-samples/analysis-of-medical-device-data-using-data-lake

8f6d9b9da671781d74c3fb16e2603c36fb412047

[ "Apache-2.0", "MIT-0" ]

null

heart_rate_job.py

aws-samples/analysis-of-medical-device-data-using-data-lake

8f6d9b9da671781d74c3fb16e2603c36fb412047

[ "Apache-2.0", "MIT-0" ]

2

2021-06-10T19:00:19.000Z

2021-06-14T08:06:53.000Z

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. # A copy of the License is located at # # http://www.apache.org/licenses/LICENSE-2.0 # # or in the "license" ...

28.382775

77

0.662508

745

5,932

5.148993

0.297987

0.031022

0.009385

0.010949

0.094108

0.056048

0.037018

0.024505

0

0.014449

0.218307

5,932

209

78

28.382775

0.81281

0.190492

0

0.145038

0

0.169111

0.026823

0

1

0.045802

false

0

0.053435

0

0.145038

0.137405

0

null

0

null

0

1

0

4c8dd18bf6b1f2a4486b4e2a0e51159bc676afcf

325

py

Python

cobra/basico/aula2/aula2.py

Matheusblz/learning_things

69c16d30db8a79dffd5b83e91070aec7ab376b8a

[ "MIT" ]

null

cobra/basico/aula2/aula2.py

Matheusblz/learning_things

69c16d30db8a79dffd5b83e91070aec7ab376b8a

[ "MIT" ]

null

cobra/basico/aula2/aula2.py

Matheusblz/learning_things

69c16d30db8a79dffd5b83e91070aec7ab376b8a

[ "MIT" ]

null

print('824','176','070', sep= '.', end= '-') print('18') print('ola', type('ola')) print(10, type(10)) print(10.5, type(10.5)) print(True, type(True)) nome = 'heder' idade = 22 altura = 1.72 print('\n') print(f'{nome} tem {idade} anos e {altura} de altura') print('{} tem {} anos e {} de altura'.format(nome,idade,altu...

21.666667

64

0.606154

55

325

3.581818

0.472727

0.071066

0

0.091873

0.129231

325

14

65

23.214286

0.60424

0

0.304615

0

1

0

false

0

0.75

0

null

0

null

0

1

0

1

4c8de32d916e9b3f90196563715f0a8c2cb915a6

65,211

py

Python

vector/geometry.py

karttur/geoimagine02-grass

09c207707ddd0dae04a871e006e184409aa87d99

[ "BSD-3-Clause" ]

null

vector/geometry.py

karttur/geoimagine02-grass

09c207707ddd0dae04a871e006e184409aa87d99

[ "BSD-3-Clause" ]

null

vector/geometry.py

karttur/geoimagine02-grass

09c207707ddd0dae04a871e006e184409aa87d99

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jul 18 10:46:25 2012 @author: pietro """ import ctypes import re from collections import namedtuple import numpy as np import grass.lib.gis as libgis import grass.lib.vector as libvect from grass.pygrass.utils import decode from grass.pygrass.errors import GrassError, map...

34.576352

89

0.541826

8,556

65,211

3.961431

0.070594

0.008202

0.019472

0.016994

0.527645

0.462825

0.395114

0.34425

0.317431

0.286245

0

0.045045

0.346031

65,211

1,885

90

34.594695

0.74973

0.395807

0

0.319693

0

0.034571

0

0.002122

0

1

0.170077

false

0.005115

0.017903

0.023018

0.34399

0

null

0

null

0

1

0

4c8efa85e744b76647579e30a8854809ccf53601

1,144

py

Python

题源分类/LeetCode/LeetCode日刷/python/86.分隔链表.py

ZhengyangXu/Algorithm-Daily-Practice

3017a3d476fc9a857026190ea4fae2911058df59

[ "MIT" ]

null

题源分类/LeetCode/LeetCode日刷/python/86.分隔链表.py

ZhengyangXu/Algorithm-Daily-Practice

3017a3d476fc9a857026190ea4fae2911058df59

[ "MIT" ]

null

题源分类/LeetCode/LeetCode日刷/python/86.分隔链表.py

ZhengyangXu/Algorithm-Daily-Practice

3017a3d476fc9a857026190ea4fae2911058df59

[ "MIT" ]

null

# # @lc app=leetcode.cn id=86 lang=python3 # # [86] 分隔链表 # # https://leetcode-cn.com/problems/partition-list/description/ # # algorithms # Medium (60.30%) # Likes: 286 # Dislikes: 0 # Total Accepted: 61.5K # Total Submissions: 102K # Testcase Example: '[1,4,3,2,5,2]\n3' # # 给定一个链表和一个特定值 x，对链表进行分隔，使得所有小于 x 的节点都在大...

19.389831

62

0.518357

148

1,144

3.97973

0.5

0.010187

0.013582

0.020374

0

0.073236

0.343531

1,144

58

63

19.724138

0.711052

0.47465

0

1

0.058824

false

0

0.176471

0

null

0

null

0

1

0

4c8fd0fae2531e16841cf0bbd497e0d00735382d

325

py

Python

core/migrations/0002_auto_20181117_0622.py

girisagar46/KalaPatthar

1d4219f6a8f315fbeeece2355200a54acff70d1f

[ "MIT" ]

null

core/migrations/0002_auto_20181117_0622.py

girisagar46/KalaPatthar

1d4219f6a8f315fbeeece2355200a54acff70d1f

[ "MIT" ]

null

core/migrations/0002_auto_20181117_0622.py

girisagar46/KalaPatthar

1d4219f6a8f315fbeeece2355200a54acff70d1f

[ "MIT" ]

null

# Generated by Django 2.1.3 on 2018-11-17 06:22 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.AlterUniqueTogether( name='website', unique_together=set(), ), ...

18.055556

47

0.587692

33

325

5.727273

0.878788

0

0.083333

0.298462

325

17

48

19.117647

0.745614

0.138462

0

1

0

0.082734

0

1

0

false

0

0.090909

0

0.363636

0

null

0

1

0

null

0

1

4c93042abb669c8eb64eeb6b34ebae4584d33589

6,121

py

Python

dbgr/commands.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

8

2019-05-23T19:45:46.000Z

2021-02-08T17:21:21.000Z

dbgr/commands.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

86

2019-05-13T14:20:20.000Z

2019-06-19T11:48:59.000Z

dbgr/commands.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

1

2021-02-08T17:21:22.000Z

import argparse import sys import traceback import textwrap import colorama from dbgr.requests import get_requests, execute_request, parse_cmd_arguments, parse_module_name from dbgr.environment import init_environment, get_environments, DEFAULT_ENVIRONMENT, Environment from dbgr.session import close_session from dbgr.c...

36.218935

97

0.64777

700

6,121

5.457143

0.237143

0.020419

0.040314

0.032984

0.228534

0.155236

0.11466

0.092147

0.065969

0

0.001944

0.243588

6,121

168

98

36.434524

0.82311

0.011273

0

0.216783

0

0.199517

0.054194

0

0.013986

1

0.013986

false

0

0.06993

0

0.111888

0.146853

0

null

0

null

0

1

0

4c937faa9484185d720ae8ecabcd36a21ab840b4

14,965

py

Python

Initial Submission (20200803) Version/Pre-Print (20200624) Version/Analysis Code/CovidDataSmoothing.py

hazhirr/CovidGlobal

7af63d0dd5eede1887473cb46f81c43b36905ee9

[ "MIT" ]

7

2020-07-09T07:41:05.000Z

2021-06-21T12:19:17.000Z

Pre-Print (20200624) Version/Analysis Code/CovidDataSmoothing.py

maftouni/CovidGlobal

2c501b009e3d4ada55a41a50f7485d0471ba5157

[ "MIT" ]

1

2020-07-24T08:59:04.000Z

2020-07-29T17:48:48.000Z

Pre-Print (20200624) Version/Analysis Code/CovidDataSmoothing.py

maftouni/CovidGlobal

2c501b009e3d4ada55a41a50f7485d0471ba5157

[ "MIT" ]

6

2020-07-11T05:27:08.000Z

2021-11-15T14:15:16.000Z

import json import subprocess import numpy as np import pandas as pd import matplotlib.pyplot as plt from shutil import copy from scipy import interpolate from statsmodels.tsa.seasonal import STL def import_datasets(datalist, vdfname): """ Creates Vensim script to convert CSVs to VDFs """ print("Importing da...

43.002874

122

0.622787

1,847

14,965

5.01137

0.244721

0.01815

0.017286

0.02204

0.23736

0.173077

0.10242

0.089888

0.076491

0

0.008815

0.257066

14,965

347

123

43.126801

0.823709

0.204811

0

0.107143

0

0.078026

0.021287

0

1

0.053571

false

0.008929

0.058036

0.008929

0.138393

0.040179

0

null

0

null

0

1

0

4c93cc337dca485d98c775bb39dfd03d9c06d0e8

15,992

py

Python

ytHelper_2.2.py

mime-r/ytHelper

60b2508945155c3da51f31b3cb5718d998874d89

[ "MIT" ]

1

2020-04-16T00:46:33.000Z

ytHelper_2.2.py

mime-r/ytHelper

60b2508945155c3da51f31b3cb5718d998874d89

[ "MIT" ]

1

2020-06-05T00:19:37.000Z

ytHelper_2.2.py

mime-r/ytHelper

60b2508945155c3da51f31b3cb5718d998874d89

[ "MIT" ]

null

import sys import urllib.request, urllib.error, urllib from os import system, path import warnings import socket from time import time #resolve dependencies in general system("pip install pytube3") # test: https://www.youtube.com/watch?v=ZW0evffIxEM def validate(_url): try: conn = urllib....

36.180995

222

0.508317

1,591

15,992

5.029541

0.194846

0.012747

0.04124

0.02012

0.335291

0.297926

0.294926

0.270557

0.25856

0.222194

0

0.011947

0.371936

15,992

441

223

36.263039

0.784648

0.036893

0

0.408696

0

0.011594

0.284087

0.027981

0

1

0.046377

false

0

0.04058

0

0.104348

0.171014

0

null

0

null

0

1

0

4c950f7453ebd206d12fabd552386800c3036ada

9,100

py

Python

examples/models/image_classification/TfSingleHiddenLayer.py

zlheui/rafiki

f9a3d01ad1620bd91bd5d4d758fedac54e09a803

[ "Apache-2.0" ]

null

examples/models/image_classification/TfSingleHiddenLayer.py

zlheui/rafiki

f9a3d01ad1620bd91bd5d4d758fedac54e09a803

[ "Apache-2.0" ]

null

examples/models/image_classification/TfSingleHiddenLayer.py

zlheui/rafiki

f9a3d01ad1620bd91bd5d4d758fedac54e09a803

[ "Apache-2.0" ]

null

import tensorflow as tf from tensorflow import keras import json import os import tempfile import numpy as np import base64 from rafiki.model import BaseModel, InvalidModelParamsException, validate_model_class, load_dataset from rafiki.constants import TaskType class TfSingleHiddenLayer(BaseModel): ''' Implem...

44.607843

152

0.518352

1,466

9,100

3.092769

0.206003

0.21438

0.306352

0.392589

0.355315

0.321129

0.298853

0.277239

0.2618

0

0.21093

0.326374

9,100

203

153

44.827586

0.528711

0.043407

0

0.246835

0

0.012658

0.057021

0.010828

0

0.004926

0

1

0.06962

false

0

0.056962

0.018987

0.177215

0

null

1

0

1

0

null

0

4

4c9518e0261cbc58d523826d89c4dfe29f75e909

3,140

py

Python

python/vineyard/contrib/ml/tests/test_tensorflow.py

TREiop/v6d

9ad80c65c226405b0c7b4ed6b6c9b1229bbf9175

[ "Apache-2.0", "CC0-1.0" ]

417

2020-10-23T12:35:27.000Z

2021-04-15T09:37:00.000Z

python/vineyard/contrib/ml/tests/test_tensorflow.py

TREiop/v6d

9ad80c65c226405b0c7b4ed6b6c9b1229bbf9175

[ "Apache-2.0", "CC0-1.0" ]

160

2020-10-27T16:27:12.000Z

2021-04-19T01:35:29.000Z

python/vineyard/contrib/ml/tests/test_tensorflow.py

TREiop/v6d

9ad80c65c226405b0c7b4ed6b6c9b1229bbf9175

[ "Apache-2.0", "CC0-1.0" ]

28

2020-10-27T15:40:48.000Z

2021-04-16T08:03:16.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- # # Copyright 2020-2021 Alibaba Group Holding Limited. # # 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/LI...

33.763441

93

0.672293

485

3,140

4.249485

0.313402

0.081514

0.014556

0.020378

0.395439

0.344008

0.318292

0.237749

0.196021

0

0.030159

0.197452

3,140

92

94

34.130435

0.787698

0.196178

0

0.327869

0

0.015158

0

0.147541

1

0.081967

false

0

0.131148

0

0.213115

0

null

0

null

0

1

0

4c97ad8ba1a77eed21ae5643d4c35409d78078e3

60

py

Python

pl_bolts/models/gans/__init__.py

hecoding/pytorch-lightning-bolts

4d254fde6112b21436003028d553a726bf7ea6ef

[ "Apache-2.0" ]

1

2021-04-27T14:45:16.000Z

pl_bolts/models/gans/__init__.py

hecoding/pytorch-lightning-bolts

4d254fde6112b21436003028d553a726bf7ea6ef

[ "Apache-2.0" ]

null

pl_bolts/models/gans/__init__.py

hecoding/pytorch-lightning-bolts

4d254fde6112b21436003028d553a726bf7ea6ef

[ "Apache-2.0" ]

1

2021-03-24T15:13:02.000Z

from pl_bolts.models.gans.basic.basic_gan_module import GAN

30

59

0.866667

11

60

4.454545

0.818182

0

0.066667

60

1

60

0.875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4c9a84f8253717a93adac72ab174be3242be0231

815

py

Python

dodo_commands/extra/dodo_standard_commands/commit-config.py

mnieber/dodo-commands

82330006af2c6739b030ce932ba1ff9078b241ee

[ "MIT" ]

8

2016-12-01T16:45:45.000Z

2020-05-05T20:56:57.000Z

dodo_commands/extra/dodo_standard_commands/commit-config.py

mnieber/dodo-commands

82330006af2c6739b030ce932ba1ff9078b241ee

[ "MIT" ]

75

2017-01-29T19:25:45.000Z

2020-01-28T09:40:47.000Z

dodo_commands/extra/dodo_standard_commands/commit-config.py

mnieber/dodo-commands

82330006af2c6739b030ce932ba1ff9078b241ee

[ "MIT" ]

2

2017-06-01T09:55:20.000Z

2017-06-08T14:45:08.000Z

import os from dodo_commands import Dodo from dodo_commands.framework.config import Paths def _args(): Dodo.parser.add_argument("--alt", help="Run an alternative git command") Dodo.parser.add_argument( "--message", "-m", dest="message", help="The commit message" ) args = Dodo.parse_args() ...

26.290323

76

0.58773

111

815

4.198198

0.414414

0.090129

0.085837

0.090129

0.085837

0

0.238037

815

30

77

27.166667

0.750403

0

0.152147

0

1

0.043478

false

0

0.130435

0

0.217391

0

null

0

null

0

1

0

4c9ab569ed53de75a09e58003f565fbbac8fe687

116

py

Python

src/operandi_server/models.py

MehmedGIT/OPERANDI_TestRepo

529d053d4e225642c4b07016edf54736d957a025

[ "Apache-2.0" ]

8

2022-01-26T09:53:57.000Z

2022-03-21T10:40:28.000Z

src/operandi_server/models.py

MehmedGIT/OPERANDI_TestRepo

529d053d4e225642c4b07016edf54736d957a025

[ "Apache-2.0" ]

null

src/operandi_server/models.py

MehmedGIT/OPERANDI_TestRepo

529d053d4e225642c4b07016edf54736d957a025

[ "Apache-2.0" ]

null

# Specific response models of the OPERANDI server will be implemented here # TODO: Implement proper response models

38.666667

74

0.818966

16

116

5.9375

0.875

0.294737

0

0.155172

116

2

75

58

0.969388

0.956897

0

null

0

null

0

null

0

0.5

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

6

4c9d3702180edfaf0a737cf90d54fceb65b83a9d

567

py

Python

binarysearch/unobstructedBuildings.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

1

2021-06-06T19:55:22.000Z

binarysearch/unobstructedBuildings.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

1

2022-01-20T19:20:33.000Z

2022-01-20T23:51:46.000Z

binarysearch/unobstructedBuildings.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

null

class Solution: def solve(self, heights): if len(heights) == 0: return [] unobstructedBuildings = [] for i in range(len(heights) - 1): taller = False for j in range(i + 1, len(heights)): if heights[j] >= heights[i]: ...

23.625

54

0.467372

50

567

5.3

0.46

0.150943

0.083019

0

0.012821

0.449735

567

24

55

23.625

0.836538

0

1

0.066667

false

0

0.266667

0

null

0

null

0

1

0

4c9d50b4d5470d2a113d89a96a9303316be6b402

6,698

py

Python

learned_optimization/tasks/base.py

google/learned_optimization

1c9ee0159c97815fc6afe79a76224fb28b199053

[ "Apache-2.0" ]

70

2021-12-16T07:12:11.000Z

2022-03-31T19:13:36.000Z

learned_optimization/tasks/base.py

google/learned_optimization

1c9ee0159c97815fc6afe79a76224fb28b199053

[ "Apache-2.0" ]

10

2021-12-29T10:03:37.000Z

2022-03-22T15:59:55.000Z

learned_optimization/tasks/base.py

google/learned_optimization

1c9ee0159c97815fc6afe79a76224fb28b199053

[ "Apache-2.0" ]

5

2021-12-16T04:52:35.000Z

2022-03-22T03:45:31.000Z

# coding=utf-8 # Copyright 2021 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed ...

31.009259

86

0.690505

931

6,698

4.77551

0.223416

0.094467

0.053981

0.05668

0.250112

0.167341

0.097166

0.084121

0.081871

0

0.004962

0.217677

6,698

215

87

31.153488

0.843511

0.205434

0

0.171642

0

0.078051

0.017323

0

0.004651

0.007463

1

0.171642

false

0.014925

0.044776

0.067164

0.447761

0

null

0

null

0

1

0

4ca0190c94c79935df54c58f489fb8c663c6a881

4,171

py

Python

model/triplet/train.py

JoyPang123/facial_identity_system

073b98c0bb0eaa22fd5b1ba1da4d72ccead52106

[ "MIT" ]

6

2021-12-27T15:56:34.000Z

2022-03-19T03:49:55.000Z

model/triplet/train.py

JoyPang123/facial_identity_system

073b98c0bb0eaa22fd5b1ba1da4d72ccead52106

[ "MIT" ]

null

model/triplet/train.py

JoyPang123/facial_identity_system

073b98c0bb0eaa22fd5b1ba1da4d72ccead52106

[ "MIT" ]

null

import argparse import numpy as np import torch import torch.nn as nn import wandb from tqdm import tqdm from utils import plot_points from dataset import make_loader from model import TripletNet def train(args): model_config = { "batch_size": args.batch_size, "epochs": args.epochs, ...

28.965278

115

0.588828

500

4,171

4.724

0.326

0.038103

0.071973

0.024132

0.102032

0

0.010221

0.296332

4,171

143

116

29.167832

0.794549

0.036202

0

0.090909

0

0.009091

0.167248

0.035145

0

1

0.009091

false

0

0.081818

0

0.090909

0

null

0

null

0

1

0

4ca174e15e7e6d3ff3b9cc14f44bd721bb8f551b

10,573

py

Python

src/teach/modeling/toast/SequentialSubgoalDataModule.py

pablokvitca/teach

d538de5d5850266ff298099182af6d148f111f03

[ "MIT" ]

null

src/teach/modeling/toast/SequentialSubgoalDataModule.py

pablokvitca/teach

d538de5d5850266ff298099182af6d148f111f03

[ "MIT" ]

null

src/teach/modeling/toast/SequentialSubgoalDataModule.py

pablokvitca/teach

d538de5d5850266ff298099182af6d148f111f03

[ "MIT" ]

null

import json import logging import os import re import unicodedata from typing import Optional import torch from pytorch_lightning import LightningDataModule from torch import Tensor from torch.nn.utils.rnn import pad_sequence from torch.utils.data import Dataset, DataLoader from tqdm import trange from teach.logger i...

40.822394

127

0.660929

1,339

10,573

4.878267

0.129948

0.029394

0.023882

0.011941

0.457134

0.361758

0.246632

0.216779

0.182333

0.150337

0

0.001796

0.262839

10,573

258

128

40.98062

0.836284

0.00227

0

0.109524

0

0.045235

0.002086

0

1

0.095238

false

0

0.066667

0.02381

0.252381

0

null

0

null

0

1

0

4ca1a5301e7174c96f53f063cec9fd099a683307

8,551

py

Python

pydocx/export/xml.py

elibri/pydocx

fd99474a06f91f91542cf38fbf0687f9b1f95a93

[ "Apache-2.0" ]

null

pydocx/export/xml.py

elibri/pydocx

fd99474a06f91f91542cf38fbf0687f9b1f95a93

[ "Apache-2.0" ]

null

pydocx/export/xml.py

elibri/pydocx

fd99474a06f91f91542cf38fbf0687f9b1f95a93

[ "Apache-2.0" ]

null

from pydocx.openxml import wordprocessing from pydocx.export import PyDocXHTMLExporter from pydocx.export.html import HtmlTag, is_only_whitespace, is_not_empty_and_not_only_whitespace from itertools import chain #https://pydocx.readthedocs.io/en/latest/extending.html BLOCK_ELEMENTS = ['document', 'body', 'head', 'h1...

33.533333

173

0.692551

1,092

8,551

5.223443

0.210623

0.037868

0.038745

0.031557

0.313815

0.220021

0.190393

0.15568

0.129032

0.115007

0

0.003825

0.205122

8,551

254

174

33.665354

0.835369

0.075781

0

0.287958

0

0.049315

0.002916

0

1

0.167539

false

0.026178

0.020942

0.052356

0.282723

0

null

0

null

0

1

0

4ca28c17f162d99eb6c5eaddca06b1c84a527be0

2,704

py

Python

hm/model/load_balancer.py

tsuru/hm

02702b151504d6f6556ac849a256d51d31f31947

[ "BSD-3-Clause" ]

8

2015-10-16T13:49:42.000Z

2020-11-28T09:06:41.000Z

hm/model/load_balancer.py

tsuru/hm

02702b151504d6f6556ac849a256d51d31f31947

[ "BSD-3-Clause" ]

3

2015-01-02T13:01:47.000Z

2018-05-02T18:24:58.000Z

hm/model/load_balancer.py

tsuru/hm

02702b151504d6f6556ac849a256d51d31f31947

[ "BSD-3-Clause" ]

7

2015-01-02T12:59:35.000Z

2018-06-06T21:11:46.000Z

# Copyright 2014 hm authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. from hm import lb_managers, log, model from hm.model.host import Host class LoadBalancer(model.BaseModel): def __init__(self, id, name, address, conf=None, **kw...

31.44186

101

0.599482

355

2,704

4.419718

0.264789

0.056087

0.045889

0.038241

0.156788

0.12747

0.089229

0

0.002075

0.286982

2,704

85

102

31.811765

0.811722

0.053624

0

0.101449

0

0.043836

0

1

0.144928

false

0

0.028986

0.043478

0.289855

0

null

0

null

0

1

0

4ca4c1f402e01ef024957603075787c57d8d1ec9

1,409

py

Python

NLG/NLG_python.py

abha-m/PlotsToNaturalLanguage

5c4e59aa1772a13c2bce4775b3a385327c191d88

[ "MIT" ]

1

2020-03-28T04:10:21.000Z

NLG/NLG_python.py

abha-m/PlotsToNaturalLanguage

5c4e59aa1772a13c2bce4775b3a385327c191d88

[ "MIT" ]

1

2020-07-20T15:51:12.000Z

NLG/NLG_python.py

abha-m/PlotsToNaturalLanguage

5c4e59aa1772a13c2bce4775b3a385327c191d88

[ "MIT" ]

null

from simplenlg import Lexicon from simplenlg import NLGFactory from simplenlg import Realiser words = ['Month', 'Infected'] correlation_value = -0.4444 lexicon = Lexicon.getDefaultLexicon() nlgFactory = NLGFactory(lexicon) realiser = Realiser(lexicon) start_s = nlgFactory.createClause("From the above scatterplot ma...

32.022727

121

0.761533

172

1,409

6.162791

0.319767

0.090566

0.096226

0.099057

0.429245

0.307547

0.264151

0

0.020851

0.149042

1,409

43

122

32.767442

0.863219

0.092974

0

0.262785

0

1

0

false

0

0.12

0

0.12

0.04

0

null

0

null

0

1

0

4ca78fa765346c83978039b5933d69d06e638d05

308

py

Python

books_scrapy/utils/bili.py

hdtls/books-scrapy

d8e72463df05de16fafc4207e3c292284a7c126d

[ "Apache-2.0" ]

null

books_scrapy/utils/bili.py

hdtls/books-scrapy

d8e72463df05de16fafc4207e3c292284a7c126d

[ "Apache-2.0" ]

null

books_scrapy/utils/bili.py

hdtls/books-scrapy

d8e72463df05de16fafc4207e3c292284a7c126d

[ "Apache-2.0" ]

null

def keygen(id): table = "fZodR9XQDSUm21yCkr6zBqiveYah8bt4xsWpHnJE7jL5VG3guMTKNPAwcF" indices = [9, 8, 1, 6, 2, 4] x = (id ^ 177451812) + 8728348608 result = list(f"1 4 1 7 ") for i in range(len(indices)): result[indices[i]] = table[x // 58 ** i % 58] return "".join(result)

34.222222

72

0.603896

40

308

4.65

0.675

0

0.181034

0.246753

308

8

73

38.5

0.62069

0

0.220779

0.188312

0

1

0.125

false

0

0.25

0

null

0

1

0

null

0

1

4ca7e64c654283641b201d9518479bce2b4cb1c9

18,410

py

Python

slug/sed.py

AstroJacobLi/slug

ea6f61a96b594fedc498680b702104727b4ebae0

[ "MIT" ]

2

2019-07-05T05:58:29.000Z

2021-12-19T01:32:17.000Z

slug/sed.py

AstroJacobLi/slug

ea6f61a96b594fedc498680b702104727b4ebae0

[ "MIT" ]

1

2019-07-14T02:32:17.000Z

2019-07-25T23:53:32.000Z

slug/sed.py

AstroJacobLi/slug

ea6f61a96b594fedc498680b702104727b4ebae0

[ "MIT" ]

null

from __future__ import division, print_function, absolute_import import copy import warnings import numpy as np import astropy from astropy.table import Table, Column HSCFILTERS = ['g', 'r', 'i', 'z', 'y'] SNRBANDS = {'g': 80, 'r': 100, 'i': 100, 'z': 100, 'y': 50} __all__ = ['calc_kcor', 'deredden_hsc_flux_s18a']...

29.741519

87

0.467626

2,617

18,410

3.248758

0.392816

0.058104

0.04446

0.022583

0.143731

0.092449

0.076688

0.055752

0.047518

0.016584

0

0.347103

0.343835

18,410

618

88

29.789644

0.356705

0.189625

0

0.212919

0

0.041598

0.003179

0

0.011962

1

0.016746

false

0

0.014354

0

0.052632

0.004785

0

null

0

1

0

1

0

null

0

2

4ca857c39f727b07393d2f535a3e8bd1603dd8b6

12,947

py

Python

torch_spread/buffer_tools.py

Alexanders101/TorchSpread

27cb9c6ead97d8b92284f6eff016bd6e406505e9

[ "MIT" ]

1

2019-08-15T11:16:05.000Z

torch_spread/buffer_tools.py

Alexanders101/TorchSpread

27cb9c6ead97d8b92284f6eff016bd6e406505e9

[ "MIT" ]

null

torch_spread/buffer_tools.py

Alexanders101/TorchSpread

27cb9c6ead97d8b92284f6eff016bd6e406505e9

[ "MIT" ]

null

from typing import Union, Dict, List, Tuple, Callable, Optional import numpy as np import torch from torch import Tensor from .utilities import ShapeBufferType, DtypeBufferType, BufferType def buffer_fill_information(buffer: BufferType, shape: Optional[ShapeBufferType] = None, ...

35.765193

120

0.660385

1,665

12,947

4.992192

0.0997

0.059673

0.034649

0.031761

0.599254

0.523701

0.448749

0.413258

0.37091

0.346607

0

0.001436

0.247084

12,947

361

121

35.864266

0.851252

0.199969

0

0.385366

0

0.009071

0

0.009756

1

0.097561

false

0

0.02439

0

0.326829

0

null

0

null

0

1

0

4ca8d49e6589490aed254df06f33b92770647de9

1,076

py

Python

server/src/project_n/app/share/mem/McharacterManager.py

isuhao/gamein9miao

df8624b0e3223a12eb1dc833ce8fa89fd715aa5b

[ "MIT" ]

1

2018-04-18T02:38:14.000Z

server/src/project_n/app/share/mem/McharacterManager.py

isuhao/gamein9miao

df8624b0e3223a12eb1dc833ce8fa89fd715aa5b

[ "MIT" ]

null

server/src/project_n/app/share/mem/McharacterManager.py

isuhao/gamein9miao

df8624b0e3223a12eb1dc833ce8fa89fd715aa5b

[ "MIT" ]

null

#-*-coding:utf8-*- ''' Created on 2013-4-27 @author: lan ''' from firefly.utils.singleton import Singleton from app.share.dbopear import dbCharacter from firefly.dbentrust.memclient import mclient from mcharacter import Mcharacter class McharacterManager: __metaclass__ = Singleton def __init__(self)...

23.911111

61

0.575279

98

1,076

6.234694

0.530612

0.06874

0.08347

0.12766

0.237316

0.176759

0

0.010929

0.319703

1,076

45

62

23.911111

0.82377

0.124535

0

0.15

0

0.039459

0

1

0.2

false

0

0.2

0

0.6

0

null

0

null

0

1

0

1

4cadb4bb0a5ad5e4a7aa9e25a73576123f2f889f

6,596

py

Python

venv/Model/InputModel.py

florianbeyer/maptor

8fd899dd3123484fd83b7aa74a007edc8879dba6

[ "MIT" ]

1

2022-03-15T13:35:26.000Z

venv/Model/InputModel.py

florianbeyer/maptor

8fd899dd3123484fd83b7aa74a007edc8879dba6

[ "MIT" ]

9

2021-01-30T16:55:50.000Z

2022-03-12T00:54:37.000Z

venv/Model/InputModel.py

florianbeyer/maptor

8fd899dd3123484fd83b7aa74a007edc8879dba6

[ "MIT" ]

1

2020-12-21T02:24:46.000Z

import numpy as np from osgeo import gdal, ogr, gdal_array# I/O image data import matplotlib matplotlib.use('TkAgg') import matplotlib.pyplot as plt from PyQt5.QtWidgets import QFileDialog, QMessageBox class InputModule(): Training_File_Path = "" Validation_File_Path = "" Trg_Attribute_Selected = "" ...

35.085106

118

0.621286

804

6,596

4.863184

0.221393

0.024297

0.020716

0.029156

0.365217

0.259335

0.19821

0.161381

0.143478

0

0.015973

0.278654

6,596

187

119

35.272727

0.805801

0.050788

0

0.207407

0

0.078168

0

0.014815

1

0.118519

false

0

0.037037

0.266667

0.088889

0

null

0

null

0

1

0

4cae97a8b9b1d838dfdad2c01c8512a13a09b3ca

675

py

Python

plugs_auth/tests/test_models.py

solocompt/plugs-auth

0d9c683b34ea4128a78c1772cf361c65573ae005

[ "MIT" ]

1

2017-01-10T23:25:33.000Z

plugs_auth/tests/test_models.py

solocompt/plugs-auth

0d9c683b34ea4128a78c1772cf361c65573ae005

[ "MIT" ]

1

2017-01-08T00:01:13.000Z

plugs_auth/tests/test_models.py

yo-solo/plugs-auth

0d9c683b34ea4128a78c1772cf361c65573ae005

[ "MIT" ]

null

""" Testing Models """ from django.contrib.auth import get_user_model from plugs_core.testcases import PlugsAPITestCase model = get_user_model() class TestModels(PlugsAPITestCase): """ Testing Models """ def test_superuser_can_login_with_new_account(self): """ Ensures superuser is c...

23.275862

57

0.641481

71

675

5.901408

0.633803

0.064439

0.057279

0

0.251852

675

28

58

24.107143

0.829703

0.161481

0

0.111538

0

0.166667

1

0.083333

false

0.25

0.166667

0

0.333333

0

null

0

null

0

1

0

1

4caef8626df07a14e03b74c2f52928d5db0d7897

8,882

py

Python

test/test_core_notes64.py

mebeim/pyelftools

10214f1af5724c5d2faa2fe41a1f50c38d7dd25b

[ "Unlicense" ]

1,358

2015-01-10T10:59:14.000Z

2022-03-31T21:58:08.000Z

test/test_core_notes64.py

mebeim/pyelftools

10214f1af5724c5d2faa2fe41a1f50c38d7dd25b

[ "Unlicense" ]

308

2015-01-19T09:15:14.000Z

2022-03-31T03:05:46.000Z

test/test_core_notes64.py

mebeim/pyelftools

10214f1af5724c5d2faa2fe41a1f50c38d7dd25b

[ "Unlicense" ]

490

2015-01-12T10:06:43.000Z

2022-03-27T03:26:28.000Z

#------------------------------------------------------------------------------ # elftools tests # # Maxim Akhmedov (max42@yandex-team.ru) # This code is in the public domain #------------------------------------------------------------------------------ import unittest import os from elftools.elf.elffile import ELFFi...

46.020725

79

0.450799

804

8,882

4.773632

0.245025

0.117249

0.123762

0.047421

0.465868

0.334549

0.307712

0.28322

0.251172

0

0.159142

0.443932

8,882

192

80

46.260417

0.617939

0.146589

0

0.4

0

0.133953

0.055085

0

0.049754

0

0.22963

1

0.037037

false

0

0.02963

0

0.074074

0

null

0

null

0

1

0

4cb051b8da815b0f715c8c32ade2d345d518173e

7,818

py

Python

tools/keo_solver.py

nschloe/pynosh

331454b29246e6c009878589aad2dccb9fda6c30

[ "MIT" ]

8

2016-01-04T22:49:25.000Z

2021-05-07T17:23:43.000Z

tools/keo_solver.py

nschloe/pynosh

331454b29246e6c009878589aad2dccb9fda6c30

[ "MIT" ]

1

2015-11-09T18:39:31.000Z

tools/keo_solver.py

nschloe/pynosh

331454b29246e6c009878589aad2dccb9fda6c30

[ "MIT" ]

1

2021-03-20T22:01:47.000Z

# -*- coding: utf-8 -*- # """ Solve a linear equation system with the kinetic energy operator. """ import numerical_methods as nm import sys from scipy.sparse.linalg import LinearOperator import time import numpy import cmath import matplotlib.pyplot as pp from matplotlib import rc rc("text", usetex=True) rc("font", ...

28.429091

84

0.621898

896

7,818

5.253348

0.311384

0.049076

0.037179

0.039516

0.181644

0.126407

0.100701

0.090079

0

0.020244

0.254413

7,818

274

85

28.532847

0.787271

0.23868

0

0.078431

0

0.095587

0.003919

0

1

0.039216

false

0

0.084967

0

0.163399

0.071895

0

null

0

null

0

1

0

4cb092e33092705019794a96c46a0832dd7384a9

605

py

Python

src/main.py

jasondelport/PythonPlayground

e3badf931e7209b339f38c101248033c888c1cd8

[ "MIT" ]

null

src/main.py

jasondelport/PythonPlayground

e3badf931e7209b339f38c101248033c888c1cd8

[ "MIT" ]

null

src/main.py

jasondelport/PythonPlayground

e3badf931e7209b339f38c101248033c888c1cd8

[ "MIT" ]

null

import os import sys import functions as func print (f'version -> {sys.version}') print (f'version info -> {sys.version_info}') print (f'path -> {sys.path}') print (f'cwd -> {os.getcwd()}') for k, v in os.environ.items(): print(f'{k} -> {v}') print (f'arguments -> {str(sys.argv)}') x = 3 # a whole...

17.794118

58

0.57686

89

605

3.910112

0.47191

0.12069

0.074713

0

0.035398

0.252893

605

33

59

18.333333

0.734513

0.132231

0

0.270633

0

1

0

false

0

0.130435

0

0.130435

0.521739

0

null

0

null

0

1

0

1

4cb1dfac090a28c6105bc1ff28f47e2c049b8adb

462

py

Python

backend/apps/query/urls.py

bopopescu/Journey

654eb66e0e2df59e916eff4c75b68b183f9b58b5

[ "MIT" ]

41

2019-01-02T09:36:54.000Z

2022-02-20T13:13:05.000Z

backend/apps/query/urls.py

bopopescu/Journey

654eb66e0e2df59e916eff4c75b68b183f9b58b5

[ "MIT" ]

15

2019-09-30T05:40:20.000Z

2022-02-17T19:28:41.000Z

backend/apps/query/urls.py

bopopescu/Journey

654eb66e0e2df59e916eff4c75b68b183f9b58b5

[ "MIT" ]

23

2019-02-18T10:50:10.000Z

2022-01-06T07:53:18.000Z

# -*- coding:utf-8 -*- from django.conf.urls import url, include from apps.query.views import * from rest_framework import routers router = routers.DefaultRouter() router.register(r'querysqllog', QuerySqlLogViewSet, basename="querysqllog") urlpatterns = [ # url(r'^', include(router.urls)), url(r'querysql...

30.8

75

0.722944

54

462

6.111111

0.592593

0.048485

0.054545

0.060606

0

0.002475

0.125541

462

15

76

30.8

0.814356

0.04329

0

0.120729

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

4cb24cadffc9b78656273d003057453de758f210

1,478

py

Python

marble/components/monitor.py

mcgibbon/marble

801abdf65e112203d2b3c8983b0f73b0a4c821da

[ "BSD-3-Clause" ]

3

2019-07-08T16:33:44.000Z

2019-09-03T18:34:25.000Z

marble/components/monitor.py

mcgibbon/marble

801abdf65e112203d2b3c8983b0f73b0a4c821da

[ "BSD-3-Clause" ]

null

marble/components/monitor.py

mcgibbon/marble

801abdf65e112203d2b3c8983b0f73b0a4c821da

[ "BSD-3-Clause" ]

null

import sympl as sp import numpy as np from marble.state import AliasDict class NotAColumnException(Exception): pass class ColumnStore(sp.Monitor): """ Stores single-column values as numpy arrays to later retrieve a timeseries. """ def __init__(self, *args, **kwargs): super(ColumnStore, ...

32.130435

81

0.577131

175

1,478

4.714286

0.44

0.09697

0.145455

0.092121

0.24

0.196364

0

0.005941

0.316644

1,478

45

82

32.844444

0.810891

0.18065

0

0.153846

0

0.048246

0

1

0.115385

false

0.076923

0.115385

0.038462

0.346154

0

null

0

null

0

1

0

1

4cb25ef8ce8ae3207f43473f68b374b2d28f1800

678

py

Python

test/test_io.py

JPYamamoto/secret_sharing_shamir

b73abc7e721ad52b6b22571b0427cb72f6d9a7c2

[ "MIT" ]

null

test/test_io.py

JPYamamoto/secret_sharing_shamir

b73abc7e721ad52b6b22571b0427cb72f6d9a7c2

[ "MIT" ]

null

test/test_io.py

JPYamamoto/secret_sharing_shamir

b73abc7e721ad52b6b22571b0427cb72f6d9a7c2

[ "MIT" ]

null

from shamir.io import IO import os import string import random TEST_FILE = './test/test_assets/io_test.txt' class TestIO: def test_read_write_text(self): length = random.getrandbits(8) content = ''.join(random.choice(string.ascii_letters) for _ in range(length)) IO.write_file(TEST_FILE, ...

23.37931

85

0.662242

91

678

4.725275

0.406593

0.093023

0.111628

0.074419

0.237209

0

0.007707

0.234513

678

28

86

24.214286

0.820809

0

0.105263

0

0.044313

0

0.105263

1

0.105263

false

0

0.210526

0

0.368421

0.105263

0

null

0

null

0

1

0

4cb33f614509a8b3ea124e5daa0d312746e38a70

999

py

Python

apps/stix-shifter/stix_shifter_threatbus/test_message_mapping.py

GTrunSec/threatbus

030993a0d10adf25929b85ef0a19bbdc657210f6

[ "BSD-3-Clause" ]

212

2020-01-25T12:05:54.000Z

2022-03-22T05:59:35.000Z

apps/stix-shifter/stix_shifter_threatbus/test_message_mapping.py

GTrunSec/threatbus

030993a0d10adf25929b85ef0a19bbdc657210f6

[ "BSD-3-Clause" ]

57

2020-01-28T14:23:32.000Z

2022-03-10T13:18:11.000Z

apps/stix-shifter/stix_shifter_threatbus/test_message_mapping.py

GTrunSec/threatbus

030993a0d10adf25929b85ef0a19bbdc657210f6

[ "BSD-3-Clause" ]

11

2020-02-01T15:15:15.000Z

2022-01-20T18:37:22.000Z

import unittest from stix2 import Indicator, Sighting from .message_mapping import map_bundle_to_sightings class TestMessageMapping(unittest.TestCase): def setUp(self): self.observations = [ { "type": "identity", }, {"type": "observed-data", "some-prop":...

32.225806

81

0.577578

103

999

5.466019

0.495146

0.047957

0.039076

0.071048

0.10302

0

0.034335

0.3003

999

30

82

33.3

0.771102

0

0.144144

0.024024

0

0.153846

1

0.076923

false

0

0.115385

0

0.230769

0

null

0

null

0

1

0

4cb3542f6225736c4abeace73a4f769f34a28587

767

py

Python

tests/test_views/test_list_page.py

dmkskn/polka_curses

910b85671187c0a2eb44302ecac285e2d0ae92eb

[ "MIT" ]

2

2020-02-02T01:44:07.000Z

2020-06-06T13:27:33.000Z

tests/test_views/test_list_page.py

dmkskn/polka_curses

910b85671187c0a2eb44302ecac285e2d0ae92eb

[ "MIT" ]

null

tests/test_views/test_list_page.py

dmkskn/polka_curses

910b85671187c0a2eb44302ecac285e2d0ae92eb

[ "MIT" ]

null

import pytest from polka_curses.views.list_page import ListPage, BookInListItem @pytest.fixture def listpage(list_): return ListPage(list_) @pytest.fixture def bookitem(listpage): return BookInListItem(listpage.list_.books[0]) def test_get_list_from_page(listpage): assert listpage.list_ def test_ge...

21.914286

65

0.782269

104

767

5.432692

0.288462

0.084956

0.053097

0.090265

0.102655

0

0.003021

0.136897

767

34

66

22.558824

0.850453

0

0.095238

0

0.285714

1

0.285714

false

0

0.095238

0.47619

0

null

0

null

0

1

0

1

4cb376e186ae5bdec1baea83c847e4b3599af7ec

756

py

Python

src/TheBlueAllianceAPI.py

orangelight/FRC-Vision-Scoring-and-Win-Probability

8dd00bb9c7dc25942d0981cfa17776c4ab9705ac

[ "MIT" ]

null

src/TheBlueAllianceAPI.py

orangelight/FRC-Vision-Scoring-and-Win-Probability

8dd00bb9c7dc25942d0981cfa17776c4ab9705ac

[ "MIT" ]

null

src/TheBlueAllianceAPI.py

orangelight/FRC-Vision-Scoring-and-Win-Probability

8dd00bb9c7dc25942d0981cfa17776c4ab9705ac

[ "MIT" ]

null

import requests def get_event_match_keys_with_vidoes(event_key): r = requests.get('http://www.thebluealliance.com/api/v3/event/%s/matches' % event_key, headers={'':''}) json = r.json() match_video = {} for match in json: if len(match['videos']): if match['videos'][0]['type'] == 'yo...

34.363636

107

0.607143

97

756

4.556701

0.371134

0.072398

0.049774

0.072398

0.393665

0

0.006757

0.216931

756

22

108

34.363636

0.739865

0

0.222222

0

0.227213

0

1

0.111111

false

0

0.055556

0

0.277778

0

null

0

null

0

1

0

4cb68db523550c4a88d88916f63eb63b23484a1c

111

py

Python

python/stars2.py

Xanonymous-GitHub/main

53120110bd8dc9ab33424fa26d1a8ca5b9256ebe

[ "Apache-2.0" ]

1

2019-09-27T17:46:41.000Z

python/stars2.py

Xanonymous-GitHub/main

53120110bd8dc9ab33424fa26d1a8ca5b9256ebe

[ "Apache-2.0" ]

null

python/stars2.py

Xanonymous-GitHub/main

53120110bd8dc9ab33424fa26d1a8ca5b9256ebe

[ "Apache-2.0" ]

5

2019-09-30T16:41:14.000Z

2019-10-25T11:13:39.000Z

while True: n = int(input("n=?")) for x in range(0, n, 1): print(" "*(n-(x+1)), "*"*(x+1))

22.2

40

0.387387

19

111

2.263158

0.631579

0.093023

0

0.051948

0.306306

111

4

41

27.75

0.506494

0

0.046729

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

4cb6dfb1668dbc770346a5632ef8993ceafc242e

2,592

py

Python

dskc/visualization/graphs/shortcuts/text.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/visualization/graphs/shortcuts/text.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/visualization/graphs/shortcuts/text.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

from dskc.clean import get_text_from from dskc.visualization import graphs from dskc.visualization.graphs.types.word_cloud.word_cloud import word_cloud, text_proportion_success from dskc._util.string import get_display_text import pandas as pd from . import util from matplotlib import pyplot as plt def _wordcloud(ser...

35.027027

119

0.628472

305

2,592

5.009836

0.219672

0.117801

0.094241

0.135471

0.503272

0.402487

0.35144

0.308246

0.280105

0

0.002195

0.297068

2,592

73

120

35.506849

0.836443

0.035494

0

0.0625

0

0.037721

0

1

0.083333

false

0

0.145833

0

0.291667

0.020833

0

null

0

null

0

1

0

4cb796dd4c548360d380c69351baad3aace13298

1,333

py

Python

atmos/genModel.py

aasensio/ALMA-Zeeman

c17c5f1bd7117efe3be1e97b4cd1e9422bc315e2

[ "MIT" ]

1

2020-08-12T20:26:15.000Z

atmos/genModel.py

aasensio/ALMA-Zeeman

c17c5f1bd7117efe3be1e97b4cd1e9422bc315e2

[ "MIT" ]

null

atmos/genModel.py

aasensio/ALMA-Zeeman

c17c5f1bd7117efe3be1e97b4cd1e9422bc315e2

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as pl yearInSec = 365.0*24.0*3600.0 solarMassPerYear = 1.99e33 / yearInSec RStar = 4e13 TStar = 2330.0 MStar = 0.8 * 1.99e33 R0 = 1.2 * RStar Rc = 5 * RStar Rw = 20.0 * RStar vexp = 14.5 * 1e5 vturb = 1.0 MLoss = 2e-5 * solarMassPerYear G = 6.67259e-8 k = 1.381e-16 mg = 2.3 ...

27.204082

158

0.573893

272

1,333

2.805147

0.327206

0.04194

0.036697

0.04194

0.395806

0

0.15576

0.186047

1,333

48

159

27.770833

0.547465

0

0.238095

0

0.095238

0.274569

0

1

0

false

0

0.047619

0

0.047619

0

null

0

null

0

1

0

4cb8d136ebd26e2fa31c7a1b81f70cae8eea56c2

203

py

Python

testing/gigi.py

bclau/trening

92da60694da2706856e4c3a787031cb82b9b2b48

[ "Apache-2.0" ]

null

testing/gigi.py

bclau/trening

92da60694da2706856e4c3a787031cb82b9b2b48

[ "Apache-2.0" ]

null

testing/gigi.py

bclau/trening

92da60694da2706856e4c3a787031cb82b9b2b48

[ "Apache-2.0" ]

null

print "Buna! Sung gigi! Sunt petrolier! Gigi Petrolieru'!" print "Gigi este momentan conflictuat despre ce sa faca..." print "Azi sunt mai vorbaret decat deobicei! N-am ce face, se termina sesiunea..."

40.6

82

0.748768

31

203

4.903226

0.806452

0

0.152709

203

4

83

50.75

0.883721

0

0.866337

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

4cbaca48566978aca709be3f417c3e53a7bfd418

307

py

Python

cli/utils.py

mihaiparvu/nvidia-bot

3c1c4df8f79880bbb86e818a3d208c9878d479b4

[ "MIT" ]

28

2021-02-18T20:36:10.000Z

2022-01-09T11:38:00.000Z

cli/utils.py

javadash/nvidia-bot

6f26946532ffd607eb505996773e4dcda0df853a

[ "MIT" ]

null

cli/utils.py

javadash/nvidia-bot

6f26946532ffd607eb505996773e4dcda0df853a

[ "MIT" ]

14

2021-03-17T06:13:59.000Z

2022-01-26T00:24:26.000Z

import click import questionary class QuestionaryOption(click.Option): def __init__(self, param_decls=None, **attrs): click.Option.__init__(self, param_decls, **attrs) def prompt_for_value(self, ctx): return questionary.select(self.prompt, choices=self.type.choices).unsafe_ask()

27.909091

86

0.736156

39

307

5.461538

0.589744

0.103286

0.122066

0.169014

0

0.149837

307

10

87

30.7

0.816092

0

1

0.285714

false

0

0.285714

0.142857

0.857143

0

null

0

1

0

null

0

1

0

1

0

4

4cbc67363189895ebbbc90a0685761a9c7791bac

516

py

Python

test/img2base64.py

yotcap/face-compare

980d399d00ee1d56e719780a62e7bf28907a3684

[ "MIT" ]

null

test/img2base64.py

yotcap/face-compare

980d399d00ee1d56e719780a62e7bf28907a3684

[ "MIT" ]

null

test/img2base64.py

yotcap/face-compare

980d399d00ee1d56e719780a62e7bf28907a3684

[ "MIT" ]

null

#coding=utf-8 import csv import base64 def image_to_base64(): '''封装把图片转换为base64编码格式''' o = open(r"./1-0.jpg", 'rb') base64_data = base64.b64encode(o.read()) s = base64_data.decode() return ("data:image/png;base64,%s"%s) def base64_write_csv(): '''把生成的base64写入CSV文件''' f = open(r'./image.csv...

21.5

53

0.637597

71

516

4.338028

0.492958

0.116883

0.084416

0.142857

0

0.063529

0.176357

516

23

54

22.434783

0.661176

0.094961

0

0.134066

0.052747

0

1

0.133333

false

0

0.133333

0

0.333333

0

null

0

null

0

1

0

4cbd54d4e866828fe0e21e93254d8f66e103db86

80

py

Python

learning_racer/teleoperate/__init__.py

tikisi/airc-rl-agent

280ae6e1f30fff991ccf78e1075c5c25edab6866

[ "MIT" ]

69

2020-03-27T03:02:20.000Z

2022-03-03T10:08:09.000Z

learning_racer/teleoperate/__init__.py

rl-jetbot/airc-rl-agent

b8266f5b09a81fe2d1fdeeb72e48f4bb24273049

[ "MIT" ]

46

2020-02-28T13:42:40.000Z

2022-01-26T23:47:12.000Z

learning_racer/teleoperate/__init__.py

rl-jetbot/airc-rl-agent

b8266f5b09a81fe2d1fdeeb72e48f4bb24273049

[ "MIT" ]

22

2020-03-16T17:32:05.000Z

2022-02-15T23:50:10.000Z

from .ipc_teleop import Teleoperator from .message_queue import NotebookBackend

26.666667

42

0.875

10

80

6.8

0.8

0

0.1

80

2

43

40

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4cc077a37142c3b4386ac8f190903bf434814a20

4,822

py

Python

ray/models.py

Shiqan/fortnite-replay-reader

5efb522704621c66ace840c9968777f682ae2adb

[ "MIT" ]

30

2018-11-08T16:33:50.000Z

2022-03-06T20:52:54.000Z

ray/models.py

Shiqan/fortnite-replay-reader

5efb522704621c66ace840c9968777f682ae2adb

[ "MIT" ]

20

2018-11-22T20:42:32.000Z

2021-08-07T00:09:39.000Z

ray/models.py

Shiqan/fortnite-replay-reader

5efb522704621c66ace840c9968777f682ae2adb

[ "MIT" ]

20

2018-11-12T22:31:46.000Z

2022-03-06T20:52:45.000Z

import datetime import re from collections import defaultdict from dataclasses import dataclass, field from enum import Enum from typing import List, Tuple from ray import logger __all__ = ['BitTypes', 'HistoryTypes', 'ChunkTypes', 'EventTypes', 'Elimination', 'Stats', 'TeamStats', 'Header', 'H...

28.364706

128

0.668602

581

4,822

5.35284

0.414802

0.024759

0.016399

0.010289

0.01672

0

0.016902

0.251555

4,822

169

129

28.532544

0.844832

0.197843

0

0.107692

0

0.007692

0.095804

0.013988

0

0.002111

0

1

0.023077

false

0

0.053846

0

0.869231

0

null

0

null

0

1

0

1

4cc3954d297eebbd37ccdacd728db29e907bb798

457

py

Python

frappe/core/doctype/custom_script/custom_script.py

pawaranand/phr_frappe

d997ae7d6fbade4b2c4a2491603d988876dfd67e

[ "MIT" ]

1

2022-03-05T16:02:39.000Z

frappe/core/doctype/custom_script/custom_script.py

pawaranand/phr_frappe

d997ae7d6fbade4b2c4a2491603d988876dfd67e

[ "MIT" ]

1

2015-07-11T20:52:38.000Z

2019-12-06T15:00:58.000Z

frappe/core/doctype/custom_script/custom_script.py

pawaranand/phr_frappe

d997ae7d6fbade4b2c4a2491603d988876dfd67e

[ "MIT" ]

2

2015-09-05T05:30:23.000Z

2018-03-21T19:45:10.000Z

# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors # MIT License. See license.txt from __future__ import unicode_literals import frappe from frappe.utils import cstr from frappe.model.document import Document class CustomScript(Document): def autoname(self): self.name = self.dt + "-" + sel...

22.85

71

0.761488

66

457

5.121212

0.590909

0.053254

0.088757

0.118343

0.195266

0

0.01023

0.14442

457

19

72

24.052632

0.85422

0.214442

0

0.181818

0

0.002825

0

1

0.272727

false

0

0.363636

0

0.727273

0

null

0

null

0

1

0

1

0

1

0

3

4cc3f6dad88e745abaa2a72a51c49e94ec854132

1,160

py

Python

4_Structured_GE/struct_ge.py

nkphysics/Computational-Linear-Algebra-

8e82585e25b58f73179c0b0ace63fcda9f480f07

[ "MIT" ]

1

2021-12-09T20:14:22.000Z

4_Structured_GE/struct_ge.py

nkphysics/Computational-Linear-Algebra-

8e82585e25b58f73179c0b0ace63fcda9f480f07

[ "MIT" ]

null

4_Structured_GE/struct_ge.py

nkphysics/Computational-Linear-Algebra-

8e82585e25b58f73179c0b0ace63fcda9f480f07

[ "MIT" ]

1

2022-03-12T12:27:21.000Z

# Computational Linear Algebra #4 Structured Gaussian Elimination # By: Nick Space Cowboy import numpy as np class Cowboy_Lin_Alg(object): def solve_utri(self, Utri, b): n = len(Utri) # row dimension of the Utri matrix x = np.zeros_like(b, dtype=np.float64) for i in range(n - 1, -1, -1): # loop to iterate thro...

25.777778

82

0.577586

227

1,160

2.885463

0.317181

0.015267

0.085496

0.051908

0.222901

0.158779

0.082443

0

0.033113

0.218966

1,160

44

83

26.363636

0.689845

0.173276

0

0.105263

0

0.040966

0

1

0.052632

false

0

0.026316

0

0.157895

0.315789

0

null

0

null

0

1

0

4cc4d02c3cfce0ada481de55b240a788dce0d962

6,819

py

Python

src/build/mac_toolchain.py

Abreto/naiveproxy

5d84bf9f18eb5a949558086bad7c945bb9051362

[ "BSD-3-Clause" ]

1

2020-03-11T03:44:02.000Z

src/build/mac_toolchain.py

bylond/naiveproxy

a04a8330a8bb0d0892259cf6d795271fbe6e6d0e

[ "BSD-3-Clause" ]

null

src/build/mac_toolchain.py

bylond/naiveproxy

a04a8330a8bb0d0892259cf6d795271fbe6e6d0e

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # Copyright 2018 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """ If should_use_hermetic_xcode.py emits "1", and the current toolchain is out of date: * Downloads the hermetic mac toolchain *...

34.969231

80

0.729432

906

6,819

5.318985

0.331126

0.017431

0.026562

0.019091

0.108114

0.074497

0.055198

0

0.011111

0.155301

6,819

194

81

35.149485

0.825521

0.30151

0

0.215517

0

0.238762

0.120017

0

0.005155

0

1

0.051724

false

0

0.068966

0

0.206897

0

null

0

null

0

1

0

4cc5ad8039746ed8e70f6bec48980a31f5bed3e0

5,050

py

Python

processout/activity.py

SMAKSS/processout-python

2af27fe1eeb8d5106123ee502a9bedfe336c951b

[ "MIT" ]

1

2020-10-11T07:29:51.000Z

processout/activity.py

SMAKSS/processout-python

2af27fe1eeb8d5106123ee502a9bedfe336c951b

[ "MIT" ]

null

processout/activity.py

SMAKSS/processout-python

2af27fe1eeb8d5106123ee502a9bedfe336c951b

[ "MIT" ]

null

try: from urllib.parse import quote_plus except ImportError: from urllib import quote_plus import processout from processout.networking.request import Request from processout.networking.response import Response # The content of this file was automatically generated class Activity(object): def __init__(...

24.396135

71

0.542574

560

5,050

4.744643

0.141071

0.060218

0.039142

0.055326

0.236357

0.143018

0.109146

0

0.000619

0.360396

5,050

206

72

24.514563

0.821981

0.170495

0

0.264463

0

0.033868

0

1

0.14876

false

0

0.049587

0

0.355372

0

null

0

null

0

1

0

4cc723b5f5ac890194076952666fdd96857ba1db

475

py

Python

AirLog/__main__.py

minorsecond/AirLog

91d4a801229281377545896cc62b291606e31df1

[ "MIT" ]

null

AirLog/__main__.py

minorsecond/AirLog

91d4a801229281377545896cc62b291606e31df1

[ "MIT" ]

null

AirLog/__main__.py

minorsecond/AirLog

91d4a801229281377545896cc62b291606e31df1

[ "MIT" ]

null

import data as csv __version__ = "0.2" callsign_endpoint = "http://hamcall.net/call?callsign=" print(f"AirLog Version: {__version__}") questions = ["Callsign", "Name", "Location", "Comm type", "Notes", "signal ( x/10 )"] data = {} while 0 < len(questions): for question in questions: print(question + "?") answ...

21.590909

85

0.669474

60

475

5.15

0.616667

0.090615

0

0.014963

0.155789

475

21

86

22.619048

0.755611

0

0.244211

0

1

0

false

0

0.066667

0

0.066667

0.133333

0

null

0

null

0

1

0

4cc800bfe4dc3a21da35a227b447df7f3dadc120

364

py

Python

sweep/hooks.py

dropseedlabs/pullrespond

99cc529dac97fb737264e1e2743795c6f7257e8a

[ "MIT" ]

2

2018-01-24T16:49:50.000Z

2018-04-19T04:34:57.000Z

sweep/hooks.py

dropseed/sweep

99cc529dac97fb737264e1e2743795c6f7257e8a

[ "MIT" ]

26

2017-09-25T17:15:57.000Z

2018-11-05T17:07:29.000Z

sweep/hooks.py

dropseedlabs/reduce

99cc529dac97fb737264e1e2743795c6f7257e8a

[ "MIT" ]

2

2017-11-01T20:42:09.000Z

2019-02-13T21:45:12.000Z

from os import path from subprocess import check_call import click def run_hook(name, *args): hook_path = path.expanduser('~/.sweep/hooks/' + name) if path.exists(hook_path): # run the script with the given args click.secho('Found hook for {}, running {}'.format(name, hook_path), fg='blue') ...

28

87

0.667582

53

364

4.45283

0.566038

0.135593

0

0.203297

364

12

88

30.333333

0.813793

0.093407

0

0.146341

0

1

0.125

false

0

0.375

0

0.5

0

null

0

null

0

1

0

1

4cc88d9a4e9effcd400d874cbc738191ab51d5f4

2,642

py

Python

adefa/tests/test_result.py

budtmo/adefa

448812c2bef2ffa989e357529fb481b70231933b

[ "Apache-2.0" ]

3

2017-08-22T12:40:46.000Z

2017-11-01T13:08:15.000Z

adefa/tests/test_result.py

butomo1989/adefa

448812c2bef2ffa989e357529fb481b70231933b

[ "Apache-2.0" ]

1

2021-04-20T17:13:08.000Z

adefa/tests/test_result.py

budtmo/adefa

448812c2bef2ffa989e357529fb481b70231933b

[ "Apache-2.0" ]

2

2017-08-22T12:55:56.000Z

2017-12-12T10:23:52.000Z

"""Unit test to test get test result.""" from unittest import TestCase from adefa import cli from adefa.tests import runner import mock class TestResult(TestCase): """Unit test class to test get test result.""" def test_valid_result(self): cli.client.get_run = mock.MagicMock(return_value={'run': {...

42.612903

115

0.629826

331

2,642

4.879154

0.259819

0.055728

0.117647

0.148607

0.636533

0.613003

0.575851

0.525697

0.48483

0

0.010511

0.207797

2,642

61

116

43.311475

0.761108

0.028388

0

0.340426

0

0.15493

0.025039

0

0.212766

1

0.106383

false

0

0.085106

0

0.212766

0

null

0

null

0

1

0

4ccb64646aeb2b50f616763b71a0d4b8be17cc46

876

py

Python

euclidIR/fitlc.py

sdhawan21/euclidIR

15b3e8ba1a033ac6a1d80ea1a1a33176fa0633d3

[ "MIT" ]

null

euclidIR/fitlc.py

sdhawan21/euclidIR

15b3e8ba1a033ac6a1d80ea1a1a33176fa0633d3

[ "MIT" ]

null

euclidIR/fitlc.py

sdhawan21/euclidIR

15b3e8ba1a033ac6a1d80ea1a1a33176fa0633d3

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt import sncosmo from simlc import simlc from astropy.table import Table class lcfit: def __init__(self): self.model = sncosmo.Model(source='Hsiao') def obs_tab(self, taxis, bandarr): """ Create the astropy table with the...

20.857143

66

0.482877

97

876

4.268041

0.525773

0.065217

0.067633

0

0.037594

0.392694

876

41

67

21.365854

0.740602

0

0.052219

0

null

0

0.217391

null

0

null

0

null

0

1

0

1

4ccc8df1356db8bd08571c1845f788cd223e8846

2,082

py

Python

rignet/train_.py

lelechen63/CIPS-3D

49e34ecab7410ac357a3d467e347cd39ee442bd5

[ "MIT" ]

1

2022-03-20T08:10:29.000Z

rignet/train_.py

lelechen63/CIPS-3D

49e34ecab7410ac357a3d467e347cd39ee442bd5

[ "MIT" ]

1

2022-03-21T04:54:10.000Z

rignet/train_.py

lelechen63/CIPS-3D

49e34ecab7410ac357a3d467e347cd39ee442bd5

[ "MIT" ]

1

2022-02-25T01:28:10.000Z

import os from argparse import ArgumentParser from collections import OrderedDict import torch import torch.nn as nn import random import pickle import pytorch_lightning as pl from options.train_options import TrainOptions from pytorch_lightning.callbacks import ModelCheckpoint import numpy as np import sys sys.path.ap...

30.173913

132

0.670029

271

2,082

4.98893

0.424354

0.048817

0.073965

0.053254

0.266272

0.223373

0.174556

0

0.042745

0.202209

2,082

69

133

30.173913

0.771222

0.07781

0

0.071429

0

0.314689

0.18139

0

1

0

false

0

0.267857

0

0.267857

0.089286

0

null

0

null

0

1

0

4cce67d9f4c01fa5e0acf82e671f6eb2877be221

1,758

py

Python

tests/test_address.py

DPInvaders/pyacryl2

bad81a4ae192e9c7e44ac858a76eee5c5abb5bc5

[ "MIT" ]

3

2020-03-31T09:39:53.000Z

2021-12-21T06:07:30.000Z

tests/test_address.py

DPInvaders/pyacryl2

bad81a4ae192e9c7e44ac858a76eee5c5abb5bc5

[ "MIT" ]

1

2020-02-25T07:23:46.000Z

tests/test_address.py

DPInvaders/pyacryl2

bad81a4ae192e9c7e44ac858a76eee5c5abb5bc5

[ "MIT" ]

1

2020-04-25T10:59:34.000Z

import unittest from unittest.mock import patch import base58 from pyacryl2 import AcrylClient from pyacryl2.utils import AcrylAddress from pyacryl2.utils import AcrylAddressGenerator from pyacryl2.utils import AcrylAsyncAddress class AddressGeneratorTest(unittest.TestCase): def setUp(self): self.addre...

35.16

112

0.746303

178

1,758

7.179775

0.308989

0.068858

0.093897

0.084507

0.235524

0.205008

0

0.015764

0.17008

1,758

49

113

35.877551

0.860178

0

0.138889

0

0.058054

0.039841

0

0.194444

1

0.166667

false

0

0.194444

0

0.416667

0

null

0

null

0

1

0

4ccecb0ab234dba1d0a934f7d728bb510ba23bdf

9,606

py

Python

CxSM_UnitaryGauge_UFO/couplings.py

YangPhy/CxSM_FR

10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a

[ "MIT" ]

null

CxSM_UnitaryGauge_UFO/couplings.py

YangPhy/CxSM_FR

10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a

[ "MIT" ]

null

CxSM_UnitaryGauge_UFO/couplings.py

YangPhy/CxSM_FR

10ad2ebe0ffa91e6f9e6d4fcdc59faa00860576a

[ "MIT" ]

null

# This file was automatically created by FeynRules 2.3.36 # Mathematica version: 11.3.0 for Linux x86 (64-bit) (March 7, 2018) # Date: Tue 15 Feb 2022 16:39:02 from object_library import all_couplings, Coupling from function_library import complexconjugate, re, im, csc, sec, acsc, asec, cot GC_1 = Coupling(name =...

38.733871

204

0.452738

1,511

9,606

2.798147

0.082065

0.189215

0.212867

0.119678

0.669584

0.613765

0.554872

0.460738

0.312677

0.216651

0

0.11313

0.295128

9,606

247

205

38.890688

0.511298

0.015928

0

0.324022

0

0.162011

0.408975

0.330123

0

null

0

0.011173

null

0

null

0

1

0

null

0

1

0

2

4ccf132cb7ea99f836f5615b2f6cafbc71c7f9b8

1,871

py

Python

core/atypes_emitter.py

lastick1/rexpert

cd5908f69cf54671ffe6bb2991c24d19e8f0036d

[ "MIT" ]

1

2020-07-07T09:58:57.000Z

core/atypes_emitter.py

lastick1/rexpert

cd5908f69cf54671ffe6bb2991c24d19e8f0036d

[ "MIT" ]

42

2018-11-11T08:08:46.000Z

2020-01-10T11:15:47.000Z

core/atypes_emitter.py

lastick1/rexpert

cd5908f69cf54671ffe6bb2991c24d19e8f0036d

[ "MIT" ]

null

"Обработка событий из логов с использованием потоков (Rx)" from __future__ import annotations import logging from typing import Tuple from rx.subject import Subject from rx.core.abc.disposable import Disposable from .atypes import Atype0, Atype1, Atype2, Atype3, Atype4, Atype5, Atype6, Atype7, Atype8, Atype9, \ Aty...

39.808511

119

0.637092

208

1,871

5.586538

0.442308

0.03012

0.024096

0.041308

0.259897

0

0.054665

0.266702

1,871

46

120

40.673913

0.792274

0.058792

0

0.112774

0

1

0.076923

false

0

0.179487

0

0.282051

0

null

0

null

0

1

0

4ccf9675205633b150c85c2b3406abfaf9bf3ed5

7,825

py

Python

tests/test_combustion/test_points/test_rotate.py

TidalPaladin/combustion

69b9a2b9baf90b81ed9098b4f0391f5c15efaee7

[ "Apache-2.0" ]

3

2020-07-09T22:18:19.000Z

2021-11-08T03:47:19.000Z

tests/test_combustion/test_points/test_rotate.py

TidalPaladin/combustion

69b9a2b9baf90b81ed9098b4f0391f5c15efaee7

[ "Apache-2.0" ]

15

2020-06-12T21:48:59.000Z

2022-02-05T18:41:50.000Z

tests/test_combustion/test_points/test_rotate.py

TidalPaladin/combustion

69b9a2b9baf90b81ed9098b4f0391f5c15efaee7

[ "Apache-2.0" ]

1

2021-02-15T20:06:16.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import timeit from math import radians import pytest import torch from combustion.points import RandomRotate, Rotate, random_rotate, rotate class TestRotateFunctional: @pytest.mark.parametrize( "x,y,z", [ pytest.param(0.0, 0.0, 0.0, id="...

33.297872

112

0.529329

1,087

7,825

3.75713

0.109476

0.042605

0.048482

0.048972

0.753673

0.729432

0.68952

0.676298

0.643976

0.602351

0

0.063974

0.300831

7,825

234

113

33.440171

0.682508

0.005367

0

0.603015

0

0.04511

0

0.090452

1

0.090452

false

0

0.025126

0

0.135678

0.015075

0

null

0

1

0

1

0

null

0

2

4cd06c63e71502403d0c04b0230831a34965b8e6

2,101

py

Python

src/kitman/apps/iam/domain.py

madskronborg/saas-toolkit

d3dfb084a75d0ca4eba8f684d6d11cc6b254d8b9

[ "MIT" ]

null

src/kitman/apps/iam/domain.py

madskronborg/saas-toolkit

d3dfb084a75d0ca4eba8f684d6d11cc6b254d8b9

[ "MIT" ]

null

src/kitman/apps/iam/domain.py

madskronborg/saas-toolkit

d3dfb084a75d0ca4eba8f684d6d11cc6b254d8b9

[ "MIT" ]

null

from typing import Generic, Protocol, TypeVar from uuid import UUID from fastapi.security.base import SecurityBase from fastapi import Response from kitman.core.domain import DependencyCallable, OpenAPIResponseType, IModel from kitman.core.schemas import Schema # Types TUser = TypeVar("TUser", bound="IUser") TSubje...

23.087912

78

0.696335

213

2,101

6.760563

0.375587

0.033333

0.041667

0.102778

0

0.204188

2,101

90

79

23.344444

0.861244

0.02713

0

0.196721

0

0.056946

0

1

0.032787

false

0

0.098361

0

0.327869

0

null

0

null

0

1

0

4cd15c015024ede7506c129916f56cd62f88c5c2

7,835

py

Python

applied/tasks/absa/models/capsule_network.py

ndoll1998/AppliedTransformers

76cbdef6fdd765b2178af71038a61e3e71e0cec9

[ "MIT" ]

3

2020-09-02T03:51:49.000Z

2020-09-18T14:09:48.000Z

applied/tasks/absa/models/capsule_network.py

ndoll1998/AppliedTransformers

76cbdef6fdd765b2178af71038a61e3e71e0cec9

[ "MIT" ]

null

applied/tasks/absa/models/capsule_network.py

ndoll1998/AppliedTransformers

76cbdef6fdd765b2178af71038a61e3e71e0cec9

[ "MIT" ]

2

2021-01-30T12:37:43.000Z

2021-05-19T06:29:31.000Z

# import torch import torch import torch.nn as nn import torch.nn.functional as F # import applied transformers from .base import ABSA_Model from ..datasets.base import ABSA_Dataset, ABSA_DatasetItem from applied.core.model import Encoder, InputFeatures # import utils from applied.common import align_shape from typing ...

41.675532

109

0.668156

971

7,835

5.166838

0.197734

0.041858

0.016942

0.020929

0.139326

0.10285

0.055013

0.030696

0

0.00967

0.234461

7,835

187

110

41.898396

0.826776

0.12508

0

0.033058

0

0.002224

0

1

0.115702

false

0

0.066116

0.024793

0.272727

0

null

0

null

0

1

0

4cd3b1fb3f495d190148790e7dbd913279a3389a

5,604

py

Python

vise/analyzer/vasp/plot_band.py

kumagai-group/vise

8adfe61ad8f31767ec562f02f271e2495f357cd4

[ "MIT" ]

16

2020-07-14T13:14:05.000Z

2022-03-04T13:39:30.000Z

vise/analyzer/vasp/plot_band.py

kumagai-group/vise

8adfe61ad8f31767ec562f02f271e2495f357cd4

[ "MIT" ]

10

2021-03-15T20:47:45.000Z

2021-08-19T00:47:12.000Z

vise/analyzer/vasp/plot_band.py

kumagai-group/vise

8adfe61ad8f31767ec562f02f271e2495f357cd4

[ "MIT" ]

6

2020-03-03T00:42:39.000Z

2022-02-22T02:34:47.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2020. Distributed under the terms of the MIT License. import re from copy import deepcopy from typing import List import numpy as np from pymatgen.electronic_structure.plotter import BSPlotter from pymatgen.io.vasp import Vasprun from vise.analyzer.plot_band import BandPlotIn...

37.864865

93

0.579586

686

5,604

4.476676

0.271137

0.039075

0.016281

0.013676

0.130251

0.105503

0.091176

0.073592

0.030609

0

0.010234

0.31995

5,604

147

94

38.122449

0.795592

0.065489

0

0.06422

0

0.020463

0

1

0.100917

false

0

0.082569

0.045872

0.293578

0

null

0

null

0

1

0

4cd3c91eb26f0a5f4b316c7e2bbe909064fe4e8e

2,298

py

Python

logger.py

ara-astronomia/AutomazioneTende

c4c0b26cdf6846e60e0e6b77cc246c52cba746e9

[ "MIT" ]

null

logger.py

ara-astronomia/AutomazioneTende

c4c0b26cdf6846e60e0e6b77cc246c52cba746e9

[ "MIT" ]

150

2019-11-14T17:48:22.000Z

2021-08-05T20:39:31.000Z

logger.py

ara-astronomia/AutomazioneTende

c4c0b26cdf6846e60e0e6b77cc246c52cba746e9

[ "MIT" ]

2

2019-01-23T11:42:25.000Z

2021-01-08T13:01:49.000Z

import logging.handlers import logging import os from config import Config from base.singleton import Singleton class Logger(metaclass=Singleton): def __init__(self, dir_path=os.path.dirname(os.path.realpath(__file__))+os.path.sep): formatter = logging.Formatter('%(levelname)s %(asctime)s file ...

37.672131

114

0.663621

259

2,298

5.752896

0.216216

0.067114

0.075168

0.128859

0.855034

0.771812

0.715436

0.653691

0

0.22846

2,298

60

115

38.3

0.840384

0.061358

0

0.511628

0

0.046512

0.136711

0

1

0.093023

false

0

0.116279

0

0.302326

0

null

0

1

0

1

0

null

0

4

4cd4a53c4c7dcb84977fbd1be35492605fe06f89

6,445

py

Python

examples/calculator.py

MartinHowarth/shimmer

541247482748300bbebf9bdec5ecdc19339fe665

[ "MIT" ]

3

2019-12-15T12:51:58.000Z

2022-01-11T01:35:31.000Z

examples/calculator.py

MartinHowarth/shimmer

541247482748300bbebf9bdec5ecdc19339fe665

[ "MIT" ]

101

2019-12-13T12:21:54.000Z

2020-04-28T08:21:35.000Z

examples/calculator.py

MartinHowarth/shimmer

541247482748300bbebf9bdec5ecdc19339fe665

[ "MIT" ]

null

"""Example of a simple calculator written using shimmer.""" from typing import Optional, List, Callable from pyglet.window import key import cocos from shimmer.components.box_layout import create_box_layout, BoxGridDefinition from shimmer.components.font import FontDefinition from shimmer.data_structures import Whit...

33.393782

99

0.626222

706

6,445

5.570822

0.298867

0.033054

0.021358

0.019069

0.122044

0.113399

0.052886

0.036105

0

0.009087

0.282855

6,445

192

100

33.567708

0.841843

0.226532

0

0.126984

0

0.020337

0.004725

0

1

0.087302

false

0

0.087302

0

0.246032

0

null

0

null

0

1

0

4cd55930cca43249b54a8a2cddae9a20e44e6b82

776

py

Python

src/yellowdog_client/model/exceptions/service_client_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

src/yellowdog_client/model/exceptions/service_client_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

src/yellowdog_client/model/exceptions/service_client_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

from typing import Tuple class ServiceClientException(Exception): __http_status_code = None # type: int __message = None # type: str __details = None # type: Tuple[str] def __init__(self, http_status_code, message, details=()): # type: (int, str, Tuple[str]...

32.333333

63

0.576031

85

776

4.764706

0.329412

0.123457

0.17284

0.133333

0.232099

0

0.31701

776

23

64

33.73913

0.764151

0.094072

0

0.027221

0

1

0.111111

false

0

0.055556

0

0.444444

0

null

0

null

0

1

0

4cd5bdd2126b0c926a1a7cde13ce6c70bdc0f2b9

398

py

Python

nodefinder/__init__.py

greschd/NodeFinder

0204789afb13fcd1ffb86fd3c013e7debafb2590

[ "Apache-2.0" ]

2

2020-01-29T16:47:18.000Z

2021-05-24T16:39:00.000Z

nodefinder/__init__.py

greschd/NodeFinder

0204789afb13fcd1ffb86fd3c013e7debafb2590

[ "Apache-2.0" ]

12

2018-07-11T23:42:19.000Z

2021-10-07T21:39:12.000Z

nodefinder/__init__.py

greschd/NodeFinder

0204789afb13fcd1ffb86fd3c013e7debafb2590

[ "Apache-2.0" ]

2

2019-11-06T00:22:53.000Z

2019-11-06T00:38:23.000Z

# -*- coding: utf-8 -*- # © 2017-2019, ETH Zurich, Institut für Theoretische Physik # Author: Dominik Gresch <greschd@gmx.ch> """A tool to find and identify nodal features in band structures. """ __version__ = '0.1.1' from . import coordinate_system from . import search from . import identify from . import io from ....

23.411765

65

0.711055

55

398

4.963636

0.727273

0.18315

0

0.035928

0.160804

398

16

66

24.875

0.778443

0.459799

0

0.184466

0

1

0

false

0

0.714286

0

0.714286

0

null

0

null

0

1

0

1

0

2

4cd7ca1f3d81d21216933ef7820282bad2c03dec

6,891

py

Python

fipie/portfolio.py

thoriuchi0531/tutti

d0fe202864edc9d257654743db6dc44a67a1d7ed

[ "MIT" ]

1

2021-11-14T15:53:38.000Z

fipie/portfolio.py

thoriuchi0531/fipie

d0fe202864edc9d257654743db6dc44a67a1d7ed

[ "MIT" ]

null

fipie/portfolio.py

thoriuchi0531/fipie

d0fe202864edc9d257654743db6dc44a67a1d7ed

[ "MIT" ]

null

from typing import Optional import numpy as np import pandas as pd from fipie import tree from fipie.cluster import ClusterAlgo, NoCluster from fipie.weighting import Weighting class Portfolio: """ A portfolio of instrument returns """ def __init__(self, ret: pd.DataFrame): """ Create a ``Portfolio...

41.263473

119

0.59672

788

6,891

5.126904

0.225888

0.038119

0.020792

0.030693

0.397277

0.332426

0.305198

0.288861

0

0.00195

0.330286

6,891

166

120

41.512048

0.873456

0.42824

0

0.291139

0

0.043391

0

1

0.088608

false

0

0.075949

0

0.278481

0

null

0

null

0

1

0

4cdad0fc7f0f559ab2c9b190dbc34f788f6aa6ac

7,113

py

Python

CNN_train.py

5220243/taili_code_case

8cc6c36359336c64b8e3c13afa8e891ebfe73a1b

[ "MIT" ]

null

CNN_train.py

5220243/taili_code_case

8cc6c36359336c64b8e3c13afa8e891ebfe73a1b

[ "MIT" ]

null

CNN_train.py

5220243/taili_code_case

8cc6c36359336c64b8e3c13afa8e891ebfe73a1b

[ "MIT" ]

null

import numpy as np import tensorflow as tf import logging from CNN_input import read_dataset logging.basicConfig(format='%(levelname)s:%(asctime)s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S') DATASET_DIR = r'C:\Users\PycharmProjects\Cifar' N_FEATURES = 3072 # 3072 = 32*32*3 N_CLASSES = 7 ...

44.45625

134

0.584563

963

7,113

4.128764

0.245068

0.03169

0.022636

0.033954

0.285966

0.201459

0.152414

0.137324

0.108149

0

0.03263

0.280472

7,113

159

135

44.735849

0.744236

0.017433

0

0.2

0

0.064185

0.011284

0

null

0

0.030769

null

0

null

0

null

0

1

0

1

4cdc507cf33994472459111fbe7ed64ee358d760

6,588

py

Python

tests/scene/test_point.py

FloHofstetter/RailLabel

48d493a36b0a80563f1291676f5ced0ec4133ea2

[ "MIT" ]

null

tests/scene/test_point.py

FloHofstetter/RailLabel

48d493a36b0a80563f1291676f5ced0ec4133ea2

[ "MIT" ]

null

tests/scene/test_point.py

FloHofstetter/RailLabel

48d493a36b0a80563f1291676f5ced0ec4133ea2

[ "MIT" ]

null

import unittest import numpy as np from src.scene.point import ImagePoint, WorldPoint class TestImagePoint(unittest.TestCase): def test_p_x(self) -> None: """ Assert the self.x property. """ with self.subTest(msg="Return correct property"): x: int = 5 y: int...

32.136585

74

0.556163

829

6,588

4.260555

0.107358

0.087769

0.051529

0.022084

0.854757

0.762458

0.716308

0.689977

0

0.029182

0.339405

6,588

204

75

32.294118

0.782399

0.104888

0

0.656716

0

0.049848

0

0.171642

1

0.097015

false

0

0.022388

0

0.134328

0

null

0

1

0

1

0

null

0

4