xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

ab3a2dd3958eeed0683e138275086ab9243b7a2e

1,525

py

Python

burl/core/api/views.py

wryfi/burl

664878ce9a31695456be89c8e10e8bb612074ef6

[ "MIT" ]

1

2021-02-07T21:48:59.000Z

burl/core/api/views.py

wryfi/burl

664878ce9a31695456be89c8e10e8bb612074ef6

[ "MIT" ]

16

2020-03-24T16:53:30.000Z

2022-03-15T17:46:59.000Z

burl/core/api/views.py

wryfi/burl

664878ce9a31695456be89c8e10e8bb612074ef6

[ "MIT" ]

null

from rest_framework.response import Response from rest_framework.decorators import api_view from rest_framework.reverse import reverse from rest_framework_simplejwt.tokens import RefreshToken @api_view(['GET']) def root(request, fmt=None): return Response({ 'v1': reverse('api_v1:root', request=request, fo...

29.901961

92

0.688525

186

1,525

5.446237

0.231183

0.096742

0.071076

0.136229

0.154985

0.124383

0

0.013578

0.179016

1,525

50

93

30.5

0.795527

0

0.125

0

0.152131

0.019672

0

1

0.125

false

0

0.1

0.025

0.4

0

null

0

null

0

1

0

ab3e250f158b4ed0173fe7715ee2559fe186d522

1,879

py

Python

qurator/sbb_ned/embeddings/bert.py

qurator-spk/sbb_ned

d4cfe249f72e48913f254a58fbe0dbe6e47bd168

[ "Apache-2.0" ]

6

2020-09-05T16:08:59.000Z

2022-03-05T00:54:47.000Z

qurator/sbb_ned/embeddings/bert.py

qurator-spk/sbb_ned

d4cfe249f72e48913f254a58fbe0dbe6e47bd168

[ "Apache-2.0" ]

6

2020-09-23T17:58:37.000Z

2022-03-10T14:02:09.000Z

qurator/sbb_ned/embeddings/bert.py

qurator-spk/sbb_ned

d4cfe249f72e48913f254a58fbe0dbe6e47bd168

[ "Apache-2.0" ]

2

2021-03-22T00:12:51.000Z

2022-01-31T10:04:08.000Z

from ..embeddings.base import Embeddings from flair.data import Sentence class BertEmbeddings(Embeddings): def __init__(self, model_path, layers="-1, -2, -3, -4", pooling_operation='first', use_scalar_mix=True, no_cuda=False, *args, **kwargs): super(BertEmbeddings, self).__init__(*args...

29.359375

122

0.585418

198

1,879

5.227273

0.343434

0.092754

0.069565

0.046377

0.10628

0.061836

0

0.003152

0.324641

1,879

63

123

29.825397

0.812451

0.018627

0

0.040174

0.02063

0

1

0.105263

false

0

0.131579

0.026316

0.315789

0

null

0

null

0

1

0

ab41670d17acae57b54990c3a25815a2ee40eb19

9,225

py

Python

onnxmltools/convert/keras/_parse.py

gpminsuk/onnxmltools

4e88929a79a1018183f58e2d5e032dd639839dd2

[ "MIT" ]

1

2018-04-10T02:30:47.000Z

onnxmltools/convert/keras/_parse.py

gpminsuk/onnxmltools

4e88929a79a1018183f58e2d5e032dd639839dd2

[ "MIT" ]

null

onnxmltools/convert/keras/_parse.py

gpminsuk/onnxmltools

4e88929a79a1018183f58e2d5e032dd639839dd2

[ "MIT" ]

1

2018-06-27T18:16:20.000Z

# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import te...

51.825843

125

0.714363

1,236

9,225

5.089806

0.16343

0.049277

0.040693

0.03815

0.473216

0.440629

0.415196

0.382133

0.331744

0.292322

0

0.004088

0.204444

9,225

177

126

52.118644

0.853114

0.258211

0

0.303571

0

0.04986

0

1

0.044643

false

0

0.0625

0

0.169643

0

null

0

null

0

1

0

ab41d11daca6d1b31e59637bf18b9f99a383f86f

24,575

py

Python

src/scenic/core/regions.py

cahartsell/Scenic

2e7979011aef426108687947668d9ba6f5439136

[ "BSD-3-Clause" ]

null

src/scenic/core/regions.py

cahartsell/Scenic

2e7979011aef426108687947668d9ba6f5439136

[ "BSD-3-Clause" ]

null

src/scenic/core/regions.py

cahartsell/Scenic

2e7979011aef426108687947668d9ba6f5439136

[ "BSD-3-Clause" ]

null

"""Objects representing regions in space.""" import math import random import itertools import numpy import scipy.spatial import shapely.geometry import shapely.ops from scenic.core.distributions import Samplable, RejectionException, needsSampling from scenic.core.lazy_eval import valueInContext from scenic.core.vec...

33.896552

96

0.722238

3,127

24,575

5.621043

0.131116

0.024748

0.006258

0.014223

0.336861

0.261535

0.184502

0.134039

0.102975

0.057803

0

0.003512

0.16586

24,575

724

97

33.94337

0.853944

0.115443

0

0.330325

0

0.072705

0.012118

0

0.002762

0.00722

1

0.169675

false

0.001805

0.028881

0.057762

0.413357

0

null

0

null

0

1

0

ab42204ebfa5ee7790165df748eb621656c602f4

6,525

py

Python

orangery/cli/cutfill.py

mrahnis/orangery

69afe0057bd61163eb8e026e58d648dfa1e73b94

[ "BSD-3-Clause" ]

2

2015-11-30T02:46:28.000Z

2021-06-26T15:01:45.000Z

orangery/cli/cutfill.py

mrahnis/orangery

69afe0057bd61163eb8e026e58d648dfa1e73b94

[ "BSD-3-Clause" ]

18

2017-06-18T03:23:05.000Z

2022-03-18T00:14:05.000Z

orangery/cli/cutfill.py

mrahnis/orangery

69afe0057bd61163eb8e026e58d648dfa1e73b94

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import sys import logging import time import json import click import matplotlib.pyplot as plt import orangery as o from orangery.cli import defaults, util from orangery.tools.plotting import get_scale_factor @click.command(options_metavar='<options>') @click.argument(...

45

225

0.66728

966

6,525

4.425466

0.267081

0.030877

0.009357

0.014035

0.152281

0.108538

0.081871

0.043977

0.025263

0

0.024309

0.1741

6,525

144

226

45.3125

0.768974

0.219004

0

0.033333

0

0.011111

0.213474

0.004385

0

1

0.011111

false

0

0.111111

0

0.122222

0

null

0

null

0

1

0

ab434ed80b4187ec898e721a32ff14b67e16c48a

1,669

py

Python

py/solns/wordSearch/wordSearch.py

zcemycl/algoTest

9518fb2b60fd83c85aeb2ab809ff647aaf643f0a

[ "MIT" ]

1

2022-01-26T16:33:45.000Z

py/solns/wordSearch/wordSearch.py

zcemycl/algoTest

9518fb2b60fd83c85aeb2ab809ff647aaf643f0a

[ "MIT" ]

null

py/solns/wordSearch/wordSearch.py

zcemycl/algoTest

9518fb2b60fd83c85aeb2ab809ff647aaf643f0a

[ "MIT" ]

1

2022-01-26T16:35:44.000Z

class Solution: @staticmethod def naive(board,word): rows,cols,n = len(board),len(board[0]),len(word) visited = set() def dfs(i,j,k): idf = str(i)+','+str(j) if i<0 or j<0 or i>cols-1 or j>rows-1 or \ board[j][i]!=word[k] or idf in visited: ...

37.088889

67

0.461953

260

1,669

2.965385

0.2

0.046693

0.072633

0.042802

0.442283

0.352789

0.303502

0

0.037255

0.388856

1,669

45

68

37.088889

0.718627

0.081486

0

0.375

0

0.001339

0

1

0.1

false

0

0.275

0

null

0

null

0

1

0

ab453c7b64fdd47b4cf51bb569f233871fe2b337

4,118

py

Python

harbor/tests/test_unit.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

663

2016-08-23T05:23:45.000Z

2022-03-29T00:37:23.000Z

harbor/tests/test_unit.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

6,642

2016-06-09T16:29:20.000Z

2022-03-31T22:24:09.000Z

harbor/tests/test_unit.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

1,222

2017-01-27T15:51:38.000Z

2022-03-31T18:17:51.000Z

# (C) Datadog, Inc. 2019-present # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) import pytest from mock import MagicMock from requests import HTTPError from datadog_checks.base import AgentCheck from datadog_checks.dev.http import MockResponse from .common import HARBOR_COMPONENTS, ...

43.347368

120

0.753035

567

4,118

5.156966

0.218695

0.089261

0.035568

0.057456

0.661423

0.620041

0.573529

0.492134

0.422709

0.386457

0

0.015257

0.124575

4,118

94

121

43.808511

0.795839

0.026226

0

0.235294

0

0.143535

0.022217

0

0.191176

1

0.117647

false

0

0.088235

0

0.205882

0

null

0

null

0

1

0

ab47866bdd7f779d52254d019f551b3dccc349a3

2,649

py

Python

M-SPRING/template/adapter.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

3

2019-09-27T08:07:11.000Z

2021-11-19T11:27:39.000Z

M-SPRING/template/adapter.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

null

M-SPRING/template/adapter.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

null

# module for adapting templates on the fly if components are reused # check that all reused components are defined consistently -> else: exception def check_consistency(components): for j1 in components: for j2 in components: # compare all components if j1 == j2 and j1.__dict__ != j2.__dict__: # same n...

36.791667

116

0.690449

387

2,649

4.640827

0.320413

0.071269

0.010022

0.025056

0.099109

0.02784

0

0.005865

0.227633

2,649

71

117

37.309859

0.871945

0.367686

0

0.106383

0

0.128319

0

1

0.06383

false

0

0.106383

0

null

0

null

0

1

0

ab4821f304dd37c05424c887f3d045a73e2c92fa

4,369

py

Python

column_completer.py

AllanLRH/column_completer

c1a0e1915256a4e3825c5c3b9863d78fdaf50be1

[ "Unlicense" ]

null

column_completer.py

AllanLRH/column_completer

c1a0e1915256a4e3825c5c3b9863d78fdaf50be1

[ "Unlicense" ]

null

column_completer.py

AllanLRH/column_completer

c1a0e1915256a4e3825c5c3b9863d78fdaf50be1

[ "Unlicense" ]

null

class ColumnCompleter(object): """Complete Pandas DataFrame column names""" def __init__(self, df, space_filler='_', silence_warnings=False): """ Once instantiated with a Pandas DataFrame, it will expose the column names as attributes which maps to their string counterparts. Au...

44.581633

101

0.610895

535

4,369

4.874766

0.297196

0.063267

0.032209

0.019555

0.247699

0.21319

0.139571

0.105061

0.077454

0

0.000658

0.304646

4,369

97

102

45.041237

0.857472

0.334173

0

0.042553

0

0.144223

0

1

0.12766

false

0

0.042553

0.234043

0

null

0

null

0

1

0

ab4824ab4c800c1d309f147567a8700135e66f6b

1,483

py

Python

source/vsm-dashboard/vsm_dashboard/test/test_data/swift_data.py

ramkrsna/virtual-storage-manager

78125bfb4dd4d78ff96bc3274c8919003769c545

[ "Apache-2.0" ]

172

2015-01-07T08:40:17.000Z

2019-02-18T07:01:11.000Z

source/vsm-dashboard/vsm_dashboard/test/test_data/swift_data.py

ramkrsna/virtual-storage-manager

78125bfb4dd4d78ff96bc3274c8919003769c545

[ "Apache-2.0" ]

83

2015-03-06T07:47:03.000Z

2018-07-05T15:10:19.000Z

source/vsm-dashboard/vsm_dashboard/test/test_data/swift_data.py

ramkrsna/virtual-storage-manager

78125bfb4dd4d78ff96bc3274c8919003769c545

[ "Apache-2.0" ]

125

2015-01-05T12:22:15.000Z

2019-02-18T07:01:39.000Z

# Copyright 2012 Nebula, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agree...

38.025641

78

0.645988

188

1,483

4.978723

0.531915

0.064103

0.028846

0.034188

0.068376

0

0.02583

0.269049

1,483

38

79

39.026316

0.837638

0.389076

0

0.137892

0

1

0.05

false

0

0.1

0

0.15

0

null

0

null

0

1

0

ab48693089ba2d51e690249090e8808f1456a30c

17,971

py

Python

cinder/backup/driver.py

liangintel/stx-cinder

f4c43797a3f8c0caebfd8fb67244c084d26d9741

[ "Apache-2.0" ]

null

cinder/backup/driver.py

liangintel/stx-cinder

f4c43797a3f8c0caebfd8fb67244c084d26d9741

[ "Apache-2.0" ]

2

2018-10-25T13:04:01.000Z

2019-08-17T13:15:24.000Z

cinder/backup/driver.py

liangintel/stx-cinder

f4c43797a3f8c0caebfd8fb67244c084d26d9741

[ "Apache-2.0" ]

2

2018-10-17T13:32:50.000Z

2018-11-08T08:39:39.000Z

# Copyright (C) 2013 Deutsche Telekom AG # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...

40.566591

79

0.615492

2,156

17,971

4.974954

0.179035

0.024613

0.016782

0.019485

0.434179

0.399217

0.36845

0.330785

0.306452

0.269812

0

0.002269

0.313394

17,971

442

80

40.658371

0.867007

0.313338

0

0.292887

0

0.16246

0.008872

0

1

0.100418

false

0

0.041841

0.004184

0.23431

0

null

0

null

0

1

0

ab4a651d98707257763d7fecd97ef8404192f74c

1,146

py

Python

code/reasoningtool/tests/QuerySciGraphTests.py

andrewsu/RTX

dd1de262d0817f7e6d2f64e5bec7d5009a3a2740

[ "MIT" ]

31

2018-03-05T20:01:10.000Z

2022-02-01T03:31:22.000Z

code/reasoningtool/tests/QuerySciGraphTests.py

andrewsu/RTX

dd1de262d0817f7e6d2f64e5bec7d5009a3a2740

[ "MIT" ]

1,774

2018-03-06T01:55:03.000Z

2022-03-31T03:09:04.000Z

code/reasoningtool/tests/QuerySciGraphTests.py

andrewsu/RTX

dd1de262d0817f7e6d2f64e5bec7d5009a3a2740

[ "MIT" ]

19

2018-05-10T00:43:19.000Z

2022-03-08T19:26:16.000Z

import unittest from QuerySciGraph import QuerySciGraph class QuerySciGraphTestCase(unittest.TestCase): def test_get_disont_ids_for_mesh_id(self): disont_ids = QuerySciGraph.get_disont_ids_for_mesh_id('MESH:D005199') known_ids = {'DOID:13636'} self.assertSetEqual(disont_ids, known_ids) ...

44.076923

101

0.620419

114

1,146

5.921053

0.464912

0.053333

0.035556

0.044444

0.151111

0.062222

0

0.090686

0.287958

1,146

25

102

45.84

0.73652

0.008726

0

0.27425

0

0.1

1

0.1

false

0

0.1

0

0.25

0

null

0

null

0

1

0

ab4c81650d8bacd66796cfc5a7b9384015825cae

1,342

py

Python

ledis/cli.py

gianghta/Ledis

a6b31617621746344408ee411cf510ef3cfb2e7b

[ "MIT" ]

null

ledis/cli.py

gianghta/Ledis

a6b31617621746344408ee411cf510ef3cfb2e7b

[ "MIT" ]

null

ledis/cli.py

gianghta/Ledis

a6b31617621746344408ee411cf510ef3cfb2e7b

[ "MIT" ]

null

from typing import Any from ledis import Ledis from ledis.exceptions import InvalidUsage class CLI: __slots__ = {"ledis", "commands"} def __init__(self): self.ledis = Ledis() self.commands = { "set": self.ledis.set, "get": self.ledis.get, "sadd": self.ledi...

29.173913

78

0.520119

139

1,342

4.94964

0.388489

0.170058

0.040698

0

0.001159

0.35693

1,342

45

79

29.822222

0.79606

0

0.123696

0

1

0.052632

false

0

0.078947

0

0.210526

0

null

0

null

0

1

0

ab4cd7dafdbec4a4f671b37357e68833614883fc

866

py

Python

ClosedLoopTF.py

nazhanshaberi/miniature-octo-barnacle

eb1a8b5366003bf2d0f7e89af9d9dea120965f4f

[ "MIT" ]

null

ClosedLoopTF.py

nazhanshaberi/miniature-octo-barnacle

eb1a8b5366003bf2d0f7e89af9d9dea120965f4f

[ "MIT" ]

null

ClosedLoopTF.py

nazhanshaberi/miniature-octo-barnacle

eb1a8b5366003bf2d0f7e89af9d9dea120965f4f

[ "MIT" ]

null

#group 1: Question 1(b) # A control system for positioning the head of a laser printer has the closed loop transfer function: # !pip install control import matplotlib.pyplot as plt import control a=10 #Value for a b=50 #value for b sys1 = control.tf(20*b,[1,20+a,b+20*a,20*b]) print('3rd order system transfer funct...

29.862069

101

0.725173

159

866

3.91195

0.433962

0.07717

0.061093

0

0.055046

0.118938

866

28

102

30.928571

0.760157

0.191686

0

0.316547

0

1

0

false

0

0.095238

0

0.095238

0.142857

0

null

0

null

0

1

0

ab4de19d0181da877a10411de0bdd3a02265b4f5

1,567

py

Python

tests/test_vmtkScripts/test_vmtksurfacescaling.py

ramtingh/vmtk

4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3

[ "Apache-2.0" ]

null

tests/test_vmtkScripts/test_vmtksurfacescaling.py

ramtingh/vmtk

4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3

[ "Apache-2.0" ]

null

tests/test_vmtkScripts/test_vmtksurfacescaling.py

ramtingh/vmtk

4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3

[ "Apache-2.0" ]

1

2019-06-18T23:41:11.000Z

## Program: VMTK ## Language: Python ## Date: January 10, 2018 ## Version: 1.4 ## Copyright (c) Richard Izzo, Luca Antiga, All rights reserved. ## See LICENSE file for details. ## This software is distributed WITHOUT ANY WARRANTY; without even ## the implied warranty of MERCHANTABILITY or FITNES...

31.34

75

0.678366

189

1,567

5.470899

0.492063

0.046422

0.034816

0.052224

0.253385

0.12766

0

0.022617

0.209955

1,567

49

76

31.979592

0.812601

0.306318

0

0.296296

0

0.084746

0.07533

0

0.074074

1

0.074074

false

0

0.074074

0

0.148148

0

null

0

null

0

1

0

ab4e7cdf2bacce34a3021f862bd5b5457c0c010e

3,677

py

Python

mlcsim/dist.py

nobodywasishere/MLCSim

a3eb3d39b6970a4e706e292c6a283531fb44350c

[ "MIT" ]

null

mlcsim/dist.py

nobodywasishere/MLCSim

a3eb3d39b6970a4e706e292c6a283531fb44350c

[ "MIT" ]

null

mlcsim/dist.py

nobodywasishere/MLCSim

a3eb3d39b6970a4e706e292c6a283531fb44350c

[ "MIT" ]

null

#!/usr/bin/env python """Distribution functions This module provides functions for dealing with normal distributions and generating error maps. When called directly as main, it allows for converting a threshold map into an error map. ``` $ python -m mlcsim.dist --help usage: dist.py [-h] [-b {1,2,3,4}] -f F [-o O]...

27.856061

93

0.627142

570

3,677

3.938596

0.280702

0.032071

0.024944

0.021381

0.057016

0.025835

0.015145

0

0.027417

0.246125

3,677

131

94

28.068702

0.782468

0.406038

0

0.059137

0

1

0.075472

false

0

0.113208

0

0.245283

0.037736

0

null

0

null

0

1

0

ab4ecc2d3d04743c00cc721399cf77a91c741662

2,063

py

Python

Pr-Lab5/lab5.py

JackShen1/pr-labs

c84df379d8f7b26ccff30248dfb23ae38e0ce7c2

[ "MIT" ]

2

2021-02-25T11:42:06.000Z

2021-03-08T20:43:44.000Z

Pr-Lab5/lab5.py

JackShen1/pr-labs

c84df379d8f7b26ccff30248dfb23ae38e0ce7c2

[ "MIT" ]

null

Pr-Lab5/lab5.py

JackShen1/pr-labs

c84df379d8f7b26ccff30248dfb23ae38e0ce7c2

[ "MIT" ]

null

earth = { "Asia": {'Japan': ("Tokyo", 377975, 125620000)}, "Europe": {'Austria': ("Vienna", 83800, 8404000), 'Germany': ("Berlin", 357000, 81751000), 'Great Britain': ("London", 244800, 62700000), 'Iceland': ("Reykjavík", 103000, 317630), 'Italy': ("Rome", 301...

38.203704

125

0.49491

226

2,063

4.433628

0.376106

0.097804

0.08483

0.071856

0.100798

0.077844

0.053892

0

0.101985

0.291808

2,063

53

126

38.924528

0.583847

0

0.175957

0.012603

0

1

0.113636

false

0

0.022727

0.204545

0.136364

0

null

0

null

0

1

0

ab4f57f26ec8e3a5f4f9c3add8fa33115729abc3

3,956

py

Python

endpoints/api/test/test_tag.py

kwestpharedhat/quay

a0df895005bcd3e53847046f69f6a7add87c88fd

[ "Apache-2.0" ]

null

endpoints/api/test/test_tag.py

kwestpharedhat/quay

a0df895005bcd3e53847046f69f6a7add87c88fd

[ "Apache-2.0" ]

null

endpoints/api/test/test_tag.py

kwestpharedhat/quay

a0df895005bcd3e53847046f69f6a7add87c88fd

[ "Apache-2.0" ]

null

import pytest from playhouse.test_utils import assert_query_count from data.registry_model import registry_model from data.database import Manifest from endpoints.api.test.shared import conduct_api_call from endpoints.test.shared import client_with_identity from endpoints.api.tag import RepositoryTag, RestoreTag, Li...

34.4

146

0.654954

441

3,956

5.603175

0.249433

0.047349

0.033994

0.054634

0.444759

0.37151

0.334278

0.31809

0.215297

0

0.013834

0.232558

3,956

114

147

34.701754

0.800066

0.028817

0

0.274725

0

0.17431

0.044554

0

0.054945

1

0.043956

false

0

0.087912

0

0.131868

0

null

0

null

0

1

0

ab4f80a6a89a2ba8ed869ff8442a2bb12f645322

8,541

py

Python

inventory.py

Jongerr/vendor_receiving

f69f09a5b41d38b45e9ea0bf82590bb27ce913f6

[ "MIT" ]

null

inventory.py

Jongerr/vendor_receiving

f69f09a5b41d38b45e9ea0bf82590bb27ce913f6

[ "MIT" ]

null

inventory.py

Jongerr/vendor_receiving

f69f09a5b41d38b45e9ea0bf82590bb27ce913f6

[ "MIT" ]

null

import json import os import random import requests from passlib.hash import pbkdf2_sha256 as pbk from PyQt5.QtSql import QSqlDatabase, QSqlQuery from pprint import pprint ENCODING = 'utf-8' DB_PATH = os.path.join(os.path.curdir, 'inventory.db') def scrambleWord(word): """Randomize the letters in word and retur...

37.296943

143

0.583772

997

8,541

4.915747

0.248746

0.029382

0.038768

0.046929

0.350133

0.333809

0.318915

0.253214

0.238115

0

0.02128

0.25723

8,541

228

144

37.460526

0.751261

0.093783

0

0.346591

0

0.262643

0

1

0.034091

false

0.028409

0.039773

0

0.107955

0.210227

0

null

0

null

0

1

0

ab4fc96f582ec2e7dbdc6b88ad13480fe26a5ca3

1,749

py

Python

lnbits/core/views/lnurl.py

frennkie/lnbits

5fe64d324dc7ac05d1d0fc25eb5ad6a5a414ea8a

[ "MIT" ]

null

lnbits/core/views/lnurl.py

frennkie/lnbits

5fe64d324dc7ac05d1d0fc25eb5ad6a5a414ea8a

[ "MIT" ]

null

lnbits/core/views/lnurl.py

frennkie/lnbits

5fe64d324dc7ac05d1d0fc25eb5ad6a5a414ea8a

[ "MIT" ]

null

import requests from flask import abort, redirect, request, url_for from lnurl import LnurlWithdrawResponse, handle as handle_lnurl from lnurl.exceptions import LnurlException from time import sleep from lnbits.core import core_app from lnbits.helpers import Status from lnbits.settings import WALLET from ..crud impo...

30.155172

108

0.70669

227

1,749

5.237885

0.356828

0.055509

0.047939

0.063078

0.126156

0.097561

0

0.005751

0.204688

1,749

57

109

30.684211

0.849029

0

0.090909

0

0.069754

0

1

0.022727

false

0

0.204545

0

0.25

0

null

0

null

0

1

0

ab5224dab7764f41af318140ad4ebc3291d1cf50

1,507

py

Python

driver_training/driver_training.py

munishm/MLOpsPython

e3ee31f6a0cac645a2b3ad945b8263e07d3085e4

[ "MIT" ]

null

driver_training/driver_training.py

munishm/MLOpsPython

e3ee31f6a0cac645a2b3ad945b8263e07d3085e4

[ "MIT" ]

null

driver_training/driver_training.py

munishm/MLOpsPython

e3ee31f6a0cac645a2b3ad945b8263e07d3085e4

[ "MIT" ]

null

# Import libraries import argparse from azureml.core import Run import joblib import json import os import pandas as pd import shutil # Import functions from train.py from train import split_data, train_model, get_model_metrics # Get the output folder for the model from the '--output_folder' parameter parser = argpar...

27.4

89

0.780358

233

1,507

4.858369

0.369099

0.095406

0.039753

0.026502

0

0.134041

1,507

54

90

27.907407

0.867433

0.273391

0

0.127306

0.073801

0

1

0

false

0

0.258065

0

0.258065

0.064516

0

null

0

null

0

1

0

ab57b93b87294fbdfc94236ad38a6b407c2435a8

7,463

py

Python

katana/utils/directory_traversal_utils.py

warriorframework/Katanaframework

9dc78df9d0c8f19ef5eaaa8690fbfa1ad885b323

[ "Apache-2.0" ]

1

2020-09-30T11:14:14.000Z

katana/utils/directory_traversal_utils.py

warriorframework/Katanaframework

9dc78df9d0c8f19ef5eaaa8690fbfa1ad885b323

[ "Apache-2.0" ]

4

2020-06-06T01:55:04.000Z

2021-06-10T22:57:50.000Z

katana/utils/directory_traversal_utils.py

warriorframework/Katanaframework

9dc78df9d0c8f19ef5eaaa8690fbfa1ad885b323

[ "Apache-2.0" ]

1

2020-09-17T08:20:09.000Z

import glob import os import re import errno import shutil def get_sub_dirs_and_files(path, abs_path=False): """ Gets the direct child sub-files and sub-folders of the given directory Args: path: Absolute path to the directory abs_path: If set to True, it returns a list of absolute paths ...

29.498024

100

0.643307

1,045

7,463

4.461244

0.15311

0.028529

0.017375

0.029172

0.418061

0.360789

0.320034

0.291291

0.28314

0.275847

0

0.002375

0.266649

7,463

252

101

29.615079

0.849443

0.436822

0

0.26

0

0.047077

0

1

0.14

false

0

0.05

0

0.33

0.05

0

null

0

null

0

1

0

ab58cf0f15e7f5253d551ed9c21fd93da300dfec

8,381

py

Python

alignment.py

LucaOnline/theanine-synthetase

75a9d1f6d853409e12bf9f3b6e5948b594a03217

[ "MIT" ]

null

alignment.py

LucaOnline/theanine-synthetase

75a9d1f6d853409e12bf9f3b6e5948b594a03217

[ "MIT" ]

1

2021-04-28T21:34:45.000Z

2021-05-11T23:29:59.000Z

alignment.py

LucaOnline/theanine-synthetase

75a9d1f6d853409e12bf9f3b6e5948b594a03217

[ "MIT" ]

null

"""The `alignment` module provides an implementation of the Needleman-Wunsch alignment algorithm.""" from typing import Tuple, Literal, List from math import floor import numpy as np from stats import variance MOVE_DIAGONAL = 0 MOVE_RIGHT = 1 MOVE_DOWN = 2 EditMove = Literal[MOVE_DIAGONAL, MOVE_RIGHT, MOVE_DOWN] ...

32.111111

106

0.595752

1,081

8,381

4.434783

0.20259

0.037964

0.026283

0.018356

0.22257

0.180851

0.155611

0.147685

0.123905

0.104714

0

0.021115

0.310583

8,381

260

107

32.234615

0.808584

0.240067

0

0.111111

0

0.021682

0

1

0.092593

false

0

0.024691

0

0.234568

0.006173

0

null

0

null

0

1

0

ab58dbf2a732c20f8c5b6f7ff7869c6f7c00ca41

2,348

py

Python

examples/the-feeling-of-success/mock_grasp_object_op.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

examples/the-feeling-of-success/mock_grasp_object_op.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

examples/the-feeling-of-success/mock_grasp_object_op.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

from mock_gripper_op import MockGripType from std_msgs.msg import Bool from erdos.op import Op from erdos.data_stream import DataStream from erdos.message import Message class MockGraspObjectOperator(Op): """ Sends a "close" action to the gripper. """ gripper_stream = "gripper-output-stream" acti...

34.028986

79

0.663969

269

2,348

5.535316

0.32342

0.047011

0.032236

0.045668

0.246474

0.038952

0

0.270443

2,348

68

80

34.529412

0.869235

0.189097

0

0.146341

0

0.030474

0.027652

0

1

0.121951

false

0.02439

0.121951

0

0.341463

0

null

0

null

0

1

0

ab58e931b2be617a8f028a51f43ae40e92333614

3,683

py

Python

src/pyfsa/lib/fsa.py

taliamax/pyfsa

d92faa96c1e17e4016df7b367c7d405a07f1253b

[ "Apache-2.0" ]

1

2021-01-21T21:48:26.000Z

src/pyfsa/lib/fsa.py

taliamax/pyfsa

d92faa96c1e17e4016df7b367c7d405a07f1253b

[ "Apache-2.0" ]

null

src/pyfsa/lib/fsa.py

taliamax/pyfsa

d92faa96c1e17e4016df7b367c7d405a07f1253b

[ "Apache-2.0" ]

4

2021-01-22T04:04:22.000Z

2021-11-01T14:43:09.000Z

# -*- coding: utf-8 -*- import pygraphviz as gv # type: ignore import itertools as it from typing import ( List, Optional, ) from pyfsa.lib.types import TransitionsTable def get_state_graph( transitions: TransitionsTable, start: Optional[str] = None, end: Optional[str] = None, nodes: Option...

27.485075

65

0.620961

467

3,683

4.775161

0.295503

0.04843

0.033632

0.021525

0.208969

0.147982

0.127354

0

0.007904

0.278577

3,683

133

66

27.691729

0.831389

0.199566

0

0.322222

0

0.062893

0

0.007519

0

1

0.033333

false

0

0.044444

0

0.111111

0

null

0

null

0

1

0

ab5be15bbc59ecc18cf93a6170b0dd272f33cfd6

833

py

Python

tests/test_slison.py

Habidatum/slisonner

488be30a199a5d29271e24377c37a7ad83d52e3e

[ "MIT" ]

2

2017-02-06T17:15:11.000Z

2017-04-17T13:18:18.000Z

tests/test_slison.py

Habidatum/slisonner

488be30a199a5d29271e24377c37a7ad83d52e3e

[ "MIT" ]

null

tests/test_slison.py

Habidatum/slisonner

488be30a199a5d29271e24377c37a7ad83d52e3e

[ "MIT" ]

null

from slisonner import decoder, encoder from tests import mocker from tempfile import mkdtemp from shutil import rmtree def test_full_encode_decode_cycle(): temp_out_dir = mkdtemp() slice_id = '2015-01-02 00:00:00' x_size, y_size = 10, 16 temp_slice_path = mocker.generate_slice(x_size, y_size, 'float3...

29.75

75

0.716687

120

833

4.6

0.441667

0.043478

0.065217

0.054348

0

0.037764

0.205282

833

27

76

30.851852

0.796073

0

0.046819

0

0.045455

1

0.045455

false

0

0.181818

0

0.227273

0

null

0

null

0

1

0

ab5e4dfefa5bc8fdcbff9af5c74dd0475612065f

372

py

Python

exercises/pyfiles/ex812_polarsincos.py

TUDelft-AE-Python/ae1205-exercises

342d1d567b64d3ccb3371ce9826c02a87a155fa8

[ "MIT" ]

1

2021-10-05T04:49:54.000Z

exercises/pyfiles/ex812_polarsincos.py

TUDelft-AE1205/ae1205-exercises

342d1d567b64d3ccb3371ce9826c02a87a155fa8

[ "MIT" ]

null

exercises/pyfiles/ex812_polarsincos.py

TUDelft-AE1205/ae1205-exercises

342d1d567b64d3ccb3371ce9826c02a87a155fa8

[ "MIT" ]

null

import matplotlib.pyplot as plt import math xtab = [] ytab = [] for i in range(0, 628): # Calculate polar coordinates for provided equation phi = float(i) / 100.0 r = 4 * math.cos(2 * phi) # Convert to Cartesian and store in lists x = r * math.cos(phi) y = r * math.sin(phi) xtab.append(x)...

19.578947

55

0.620968

61

372

3.786885

0.622951

0.069264

0

0.035971

0.252688

372

19

56

19.578947

0.794964

0.239247

0

1

0

false

0

0.153846

0

0.153846

0

null

0

null

0

1

0

ab60f9944d5fde6a7550fbbfc9b1e8fd43e10b50

1,518

py

Python

W-DCGAN/model.py

lmyybh/pytorch-networks

8da055f5042c3803b275734afc89d33d239d7585

[ "MulanPSL-1.0" ]

null

W-DCGAN/model.py

lmyybh/pytorch-networks

8da055f5042c3803b275734afc89d33d239d7585

[ "MulanPSL-1.0" ]

null

W-DCGAN/model.py

lmyybh/pytorch-networks

8da055f5042c3803b275734afc89d33d239d7585

[ "MulanPSL-1.0" ]

null

import torch import torch.nn as nn class Generator(nn.Module): def __init__(self, signal_size, out_channels=3): super(Generator, self).__init__() self.linear = nn.Linear(signal_size, 1024*4*4) convs = [] channels = [1024, 512, 256, 128] for i in range(1, len(channel...

33

87

0.563241

207

1,518

4.033816

0.241546

0.105389

0.124551

0.064671

0.608383

0.371257

0.297006

0.265868

0

0.069509

0.289196

1,518

45

88

33.733333

0.704356

0.013175

0

0.5

0

1

0.111111

false

0

0.055556

0

0.277778

0

null

0

null

0

1

0

ab61967196abc0b2e677bfd1d2c054cef2f1f32b

792

py

Python

rational.py

navel0810/chibi

d2e9a791492352c3c1b76c841a3ad30df2f444fd

[ "MIT" ]

null

rational.py

navel0810/chibi

d2e9a791492352c3c1b76c841a3ad30df2f444fd

[ "MIT" ]

null

rational.py

navel0810/chibi

d2e9a791492352c3c1b76c841a3ad30df2f444fd

[ "MIT" ]

null

import math class Q(object): def __init__(self,a,b=1): gcd=math.gcd(a,b) self.a=a//gcd self.b=b//gcd def __repr__(self): if self.b==1: return str(self.a) return f'{self.a}/{self.b}' def __add__(self,q): a=self.a b=self.b...

17.217391

36

0.412879

144

792

2.104167

0.194444

0.079208

0.069307

0.132013

0.471947

0

0.022173

0.430556

792

46

37

17.217391

0.649667

0

0.432432

0

0.022727

0

1

0.162162

false

0

0.027027

0

0.378378

0.027027

0

null

0

null

0

1

0

db3b69e3c4b3003f7bdcfee2a7ee4c426c44a37d

5,738

py

Python

views/auth.py

bluebibi/flask_rest

9b1ee876060bca5d97459bb894c73530f66c4c15

[ "MIT" ]

null

views/auth.py

bluebibi/flask_rest

9b1ee876060bca5d97459bb894c73530f66c4c15

[ "MIT" ]

1

2022-02-11T03:43:51.000Z

views/auth.py

bluebibi/flask_rest

9b1ee876060bca5d97459bb894c73530f66c4c15

[ "MIT" ]

2

2019-11-19T02:09:03.000Z

2020-04-04T06:55:14.000Z

from flask import Blueprint, redirect, render_template, request, flash, session from database import base from database.base import User from forms import UserForm, LoginForm, MyPageUserForm from flask_login import login_required, login_user, logout_user, current_user import requests auth_blueprint = Blueprint('auth'...

32.977011

104

0.648832

695

5,738

5.136691

0.205755

0.092437

0.029132

0.038655

0.341176

0.226891

0.207843

0.152941

0.114566

0.028571

0

0.009486

0.210003

5,738

174

105

32.977011

0.778072

0.015859

0

0.246269

0

0.22972

0.045342

0

1

0.059701

false

0.044776

0

0.19403

0.059701

0

null

0

null

0

1

0

db3d773e3532da7f969a86616e27db866a72624c

3,500

py

Python

doc/.src/book/exer/cable_sin.py

hplgit/fem-book

c23099715dc3cb72e7f4d37625e6f9614ee5fc4e

[ "MIT" ]

86

2015-12-17T12:57:11.000Z

2022-03-26T01:53:47.000Z

doc/.src/book/exer/cable_sin.py

hplgit/fem-book

c23099715dc3cb72e7f4d37625e6f9614ee5fc4e

[ "MIT" ]

9

2017-04-16T21:57:29.000Z

2021-04-17T08:09:30.000Z

doc/.src/book/exer/cable_sin.py

hplgit/fem-book

c23099715dc3cb72e7f4d37625e6f9614ee5fc4e

[ "MIT" ]

43

2016-03-11T19:33:14.000Z

2022-03-05T00:21:57.000Z

import matplotlib.pyplot as plt def model(): """Solve u'' = -1, u(0)=0, u'(1)=0.""" import sympy as sym x, c_0, c_1, = sym.symbols('x c_0 c_1') u_x = sym.integrate(1, (x, 0, x)) + c_0 u = sym.integrate(u_x, (x, 0, x)) + c_1 r = sym.solve([u.subs(x,0) - 0, sym.diff(u,x).subs(x...

28.92562

60

0.512571

622

3,500

2.77492

0.173633

0.020857

0.069525

0.017381

0.618772

0.520278

0.516802

0.48146

0.442642

0

0.064754

0.302857

3,500

120

61

29.166667

0.642623

0.084

0

0.514286

0

0.053689

0

1

0.085714

false

0

0.104762

0

0.228571

0.066667

0

null

0

null

0

1

0

db3df0c689b2c97c43cbf7385cac4c429ebf9bf0

2,440

py

Python

duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_6.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_6.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_6.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

def findDecision(obj): #obj[0]: Passanger, obj[1]: Time, obj[2]: Coupon, obj[3]: Gender, obj[4]: Age, obj[5]: Education, obj[6]: Occupation, obj[7]: Bar, obj[8]: Coffeehouse, obj[9]: Restaurant20to50, obj[10]: Direction_same, obj[11]: Distance # {"feature": "Age", "instances": 51, "metric_value": 0.9662, "depth": 1} ...

35.882353

243

0.547951

348

2,440

3.798851

0.152299

0.11649

0.099849

0.102874

0.480333

0.270802

0.270045

0.197428

0.125567

0.092284

0

0.090222

0.241393

2,440

67

244

36.41791

0.623987

0.492213

0

0.574074

0

0.099592

0

1

0.018519

false

0

0.277778

0

null

0

null

0

1

0

db40a9951b31f74580005898f3f6b78a4f2c461b

1,080

py

Python

eth2/beacon/types/historical_batch.py

AndrewBezold/trinity

bc656da4dece431a0c929a99349d45faf75decf8

[ "MIT" ]

null

eth2/beacon/types/historical_batch.py

AndrewBezold/trinity

bc656da4dece431a0c929a99349d45faf75decf8

[ "MIT" ]

null

eth2/beacon/types/historical_batch.py

AndrewBezold/trinity

bc656da4dece431a0c929a99349d45faf75decf8

[ "MIT" ]

null

from typing import Sequence from eth.constants import ZERO_HASH32 from eth_typing import Hash32 import ssz from ssz.sedes import Vector, bytes32 from eth2.configs import Eth2Config from .defaults import default_tuple, default_tuple_of_size class HistoricalBatch(ssz.Serializable): fields = [("block_roots", Vec...

30

87

0.649074

124

1,080

5.298387

0.346774

0.146119

0.103501

0.082192

0.280061

0.185693

0

0.029601

0.280556

1,080

35

88

30.857143

0.815959

0.025926

0

0.076923

0

0.020952

0

1

0.038462

false

0

0.269231

0

0.384615

0

null

0

null

0

1

0

db434cf2f9b45ff5f3690a75cc12bde4fd9cb6aa

1,354

py

Python

ADVECTOR/io_tools/create_bathymetry.py

john-science/ADVECTOR

5c5ca7595c2c051f1a088b1f0e694936c3da3610

[ "MIT" ]

7

2021-09-07T02:32:00.000Z

2022-01-15T11:35:02.000Z

ADVECTOR/io_tools/create_bathymetry.py

TheOceanCleanupAlgorithms/ADVECT

e27ce15da6a2fcbccbe363f8c2415b0122696d1f

[ "MIT" ]

1

2021-12-24T15:16:26.000Z

ADVECTOR/io_tools/create_bathymetry.py

TheOceanCleanupAlgorithms/ADVECT

e27ce15da6a2fcbccbe363f8c2415b0122696d1f

[ "MIT" ]

1

2021-12-12T15:13:52.000Z

import numpy as np import xarray as xr def create_bathymetry_from_land_mask(land_mask: xr.DataArray) -> xr.DataArray: """Method: identifies the lower depth bound of the shallowest ocean cell (non-null) in each vertical grid column. :param land_mask: dimensions {time, depth, lat, lon}, boloean array, T...

34.717949

99

0.637371

188

1,354

4.484043

0.484043

0.094899

0.077106

0.033215

0.181495

0.151839

0.083037

0

0.010774

0.245938

1,354

38

100

35.631579

0.814887

0.329394

0

0.136925

0

0.08

1

0.04

false

0

0.08

0

0.16

0

null

0

null

0

1

0

db44a6bdcd485ae98f0bcb11e91bddb17022662f

1,456

py

Python

contacts/migrations_old/0006_data_status.py

I-TECH-UW/mwachx

e191755c3369208d678fceec68dbb4f5f51c453a

[ "Apache-2.0" ]

3

2015-05-27T14:35:49.000Z

2016-02-26T21:04:32.000Z

contacts/migrations/0006_data_status.py

tperrier/mwachx

94616659dc29843e661b2ecc9a2e7f1d4e81b5a4

[ "Apache-2.0" ]

375

2015-01-31T10:08:34.000Z

2021-06-10T19:44:21.000Z

contacts/migrations_old/0006_data_status.py

I-TECH-UW/mwachx

e191755c3369208d678fceec68dbb4f5f51c453a

[ "Apache-2.0" ]

6

2016-01-10T19:52:41.000Z

2020-06-15T22:07:24.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals import itertools as it from django.db import models, migrations def convert_status(apps, schema_editor): ''' Migrate Visit.skipped and ScheduledPhoneCall.skipped -> status (pending,missed,deleted,attended) ''' Visit = apps.get_model(...

30.333333

79

0.643544

159

1,456

5.773585

0.377358

0.065359

0.052288

0.087146

0.324619

0

0.004488

0.23489

1,456

47

80

30.978723

0.819569

0.113324

0

0.25

0

0.121739

0.020553

0

1

0.0625

false

0

0.09375

0

0.25

0

null

0

null

0

1

0

db49fa274fd584b7dd27d84ca85b94655d65a8a2

6,946

py

Python

scripts/make_VFS.py

nvoron23/brython

b1ce5fa39b5d38c0dde138b4e75723fbb3e574ab

[ "BSD-3-Clause" ]

1

2015-11-06T09:32:34.000Z

scripts/make_VFS.py

nvoron23/brython

b1ce5fa39b5d38c0dde138b4e75723fbb3e574ab

[ "BSD-3-Clause" ]

null

scripts/make_VFS.py

nvoron23/brython

b1ce5fa39b5d38c0dde138b4e75723fbb3e574ab

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import json import os import pyminifier try: import io as StringIO except ImportError: import cStringIO as StringIO # lint:ok # Check to see if slimit or some other minification library is installed and # Set minify equal to slimit's minify function. try: import slimit js_mi...

36.177083

91

0.512093

781

6,946

4.185659

0.201024

0.053533

0.024472

0.029979

0.52126

0.475375

0.449373

0.410523

0.389722

0

0.008659

0.351569

6,946

191

92

36.366492

0.71714

0.04607

0

0.435065

0

0.199566

0.063576

0

1

0.012987

false

0

0.077922

0

0.103896

0.084416

0

null

0

null

0

1

0

db4a6abf2a3e16936115e864f7caf11878e6ba2c

9,659

py

Python

main.py

rcox771/spectrum_scanner

71559d62ca9dc9f66d66b7ada4491de42c6cdd52

[ "MIT" ]

null

main.py

rcox771/spectrum_scanner

71559d62ca9dc9f66d66b7ada4491de42c6cdd52

[ "MIT" ]

null

main.py

rcox771/spectrum_scanner

71559d62ca9dc9f66d66b7ada4491de42c6cdd52

[ "MIT" ]

null

from rtlsdr import RtlSdr from contextlib import closing from matplotlib import pyplot as plt import numpy as np from scipy.signal import spectrogram, windows from scipy import signal from skimage.io import imsave, imread from datetime import datetime import json import os from tqdm import tqdm import time from queue i...

27.997101

104

0.576871

1,471

9,659

3.630184

0.222978

0.043258

0.016479

0.020974

0.118914

0.070787

0.046629

0.038764

0.013483

0

0.02869

0.27829

9,659

345

105

27.997101

0.73734

0.089036

0

0.04661

0

0.056246

0.017456

0

0.008475

1

0.067797

false

0.004237

0.072034

0.008475

0.190678

0.042373

0

null

0

null

0

1

0

db4a91969cbd0645d892f196740aa9b468c864c7

7,333

py

Python

examples/mnist1.py

braingineer/pyromancy

7a7ab1a6835fd63b9153463dd08bb53630f15c62

[ "MIT" ]

null

examples/mnist1.py

braingineer/pyromancy

7a7ab1a6835fd63b9153463dd08bb53630f15c62

[ "MIT" ]

1

2021-03-25T22:13:53.000Z

examples/mnist1.py

braingineer/pyromancy

7a7ab1a6835fd63b9153463dd08bb53630f15c62

[ "MIT" ]

null

from __future__ import print_function import argparse import os import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from torchvision import datasets, transforms from tqdm import tqdm from pyromancy import pyromq from pyromancy.losses import LossGroup, NegativeLogLik...

33.949074

92

0.571799

796

7,333

5.084171

0.252513

0.024463

0.046207

0.013837

0.357796

0.297999

0.2723

0.230788

0

0.017034

0.319515

7,333

215

93

34.106977

0.793988

0.046093

0

0.260563

0

0.078797

0

1

0.035211

false

0

0.091549

0

0.147887

0.007042

0

null

0

null

0

1

0

db4b58f91ffeef6d5055943e105969fe3018f79e

24,453

py

Python

hunter/main.py

datastax-labs/hunter

3631cc3fa529991297a8b631bbae15b138cce307

[ "Apache-2.0" ]

17

2021-09-03T07:32:40.000Z

2022-03-24T21:56:22.000Z

hunter/main.py

datastax-labs/hunter

3631cc3fa529991297a8b631bbae15b138cce307

[ "Apache-2.0" ]

1

2021-12-02T14:05:07.000Z

hunter/main.py

datastax-labs/hunter

3631cc3fa529991297a8b631bbae15b138cce307

[ "Apache-2.0" ]

2

2022-01-18T18:40:41.000Z

2022-03-11T15:33:25.000Z

import argparse import copy import logging import sys from dataclasses import dataclass from datetime import datetime, timedelta from slack_sdk import WebClient from typing import Dict, Optional, List import pytz from hunter import config from hunter.attributes import get_back_links from hunter.config import ConfigEr...

38.630332

117

0.613953

2,818

24,453

5.131299

0.147622

0.019917

0.018811

0.015284

0.268534

0.206432

0.153734

0.116252

0.097718

0.071024

0

0.003619

0.29935

24,453

632

118

38.691456

0.840367

0.021592

0

0.208259

0

0.003591

0.177937

0.005227

0

1

0.034111

false

0

0.064632

0

0.132855

0.025135

0

null

0

null

0

1

0

db4c9fb7ae81031adc5833740cfc20ab17a83afb

3,036

py

Python

docs/python/conf.py

jun-yoon/onnxruntime

806e24d5c69693533ed4b6fa56b84095efa5df70

[ "MIT" ]

2

2019-01-29T03:48:42.000Z

2019-01-29T07:51:31.000Z

docs/python/conf.py

jun-yoon/onnxruntime

806e24d5c69693533ed4b6fa56b84095efa5df70

[ "MIT" ]

2

2019-01-09T16:03:17.000Z

2019-02-13T13:58:28.000Z

docs/python/conf.py

jun-yoon/onnxruntime

806e24d5c69693533ed4b6fa56b84095efa5df70

[ "MIT" ]

null

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. import os import sys import shutil # Check these extensions were installed. import sphinx_gallery.gen_gallery # The package should be insta...

29.192308

118

0.635705

320

3,036

5.86875

0.503125

0.033546

0.027157

0.024494

0.052183

0.034079

0

0.005366

0.140646

3,036

103

119

29.475728

0.71445

0.378129

0

0.033898

0

0.016949

0.373727

0.144772

0

1

0.016949

false

0

0.135593

0

0.169492

0

null

0

null

0

1

0

db4cd73478117d82a5229f15076b8071351fd162

586

py

Python

traffic_sim/__main__.py

ngngardner/toc_project

15a111a2731b583f82e65c622d16d32af4fe3ae0

[ "MIT" ]

null

traffic_sim/__main__.py

ngngardner/toc_project

15a111a2731b583f82e65c622d16d32af4fe3ae0

[ "MIT" ]

null

traffic_sim/__main__.py

ngngardner/toc_project

15a111a2731b583f82e65c622d16d32af4fe3ae0

[ "MIT" ]

null

"""Traffic simulator code.""" import sys from os import path from traffic_sim.analysis import TrafficExperiment from traffic_sim.console import console if not __package__: _path = path.realpath(path.abspath(__file__)) sys.path.insert(0, path.dirname(path.dirname(_path))) def main(): """Run code from CL...

18.903226

57

0.643345

73

586

4.863014

0.520548

0.084507

0.078873

0

0.026846

0.237201

586

30

58

19.533333

0.767338

0.071672

0

0.035647

0

1

0.047619

false

0

0.190476

0

0.238095

0

null

0

null

0

1

0

db4e4eef4ddc738259fac8554c6c1cde5bc457e8

1,873

py

Python

demo.py

williamfzc/pyat

4e9792d4bfdc119d910eb88cf8a13a0ab7848518

[ "MIT" ]

20

2018-11-01T03:49:56.000Z

2020-07-23T12:19:20.000Z

demo.py

williamfzc/pyat

4e9792d4bfdc119d910eb88cf8a13a0ab7848518

[ "MIT" ]

2

2018-12-28T05:40:47.000Z

2019-05-20T02:23:29.000Z

demo.py

williamfzc/pyat

4e9792d4bfdc119d910eb88cf8a13a0ab7848518

[ "MIT" ]

14

2018-11-01T09:01:38.000Z

2021-06-09T07:40:45.000Z

from pyatool import PYAToolkit # 个性化的函数需要toolkit形参，即使不需要使用 def test_b(toolkit): return 'i am test_b, running on {}'.format(toolkit.device_id) # 封装adb命令成为方法 PYAToolkit.bind_cmd(func_name='test_a', command='shell pm list package | grep google') # 或者绑定个性化的函数 PYAToolkit.bind_func(real_func=test_b) # 是否需要log PYAToo...

20.811111

100

0.767218

278

1,873

4.964029

0.52518

0.018116

0.049275

0.011594

0.047826

0.024638

0

0.027267

0.099306

1,873

89

101

21.044944

0.790753

0.293647

0

0.057143

0

0.028571

0.205267

0.053447

0

0.028571

1

0.028571

false

0

0.028571

0.085714

0.057143

0

null

0

null

0

1

0

db4f84187c639afbc8e53e791899d9a207e520b3

1,791

py

Python

nnlab/nn/graph.py

nlab-mpg/nnlab

56aabb53fa7b86601b35c7b8c9e890d50e19d9af

[ "MIT" ]

null

nnlab/nn/graph.py

nlab-mpg/nnlab

56aabb53fa7b86601b35c7b8c9e890d50e19d9af

[ "MIT" ]

null

nnlab/nn/graph.py

nlab-mpg/nnlab

56aabb53fa7b86601b35c7b8c9e890d50e19d9af

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, division from six.moves import xrange, zip import tensorflow as tf from .tensor import Tensor class Graph(object): """The class for defining computational graph.""" def __init__(self, loss=None, modules...

33.166667

90

0.641541

233

1,791

4.811159

0.270386

0.026762

0.048171

0.053524

0.239072

0.157895

0.09099

0.049955

0

0.000767

0.272473

1,791

53

91

33.792453

0.859555

0.092686

0

0.088235

0

0.081468

0

1

0.176471

false

0

0.117647

0.088235

0.441176

0.029412

0

null

0

null

0

1

0

db5061768015e77516d7fdac7ebe34947ba071f8

18,798

py

Python

local-rotations.py

katiekruzan/masters-thesis

c9b89a0995957b5b50442b86ae8a38388f1fb720

[ "MIT" ]

null

local-rotations.py

katiekruzan/masters-thesis

c9b89a0995957b5b50442b86ae8a38388f1fb720

[ "MIT" ]

null

local-rotations.py

katiekruzan/masters-thesis

c9b89a0995957b5b50442b86ae8a38388f1fb720

[ "MIT" ]

null

""" Here we're going to code for the local rotations. We're doing an object oriented approach Left and right are in reference to the origin """ __version__ = 1.0 __author__ = 'Katie Kruzan' import string # just to get the alphabet easily iterable import sys # This just helps us in our printing from typing import Di...

36.500971

123

0.6223

2,620

18,798

4.441985

0.138931

0.031706

0.012287

0.016498

0.399639

0.320846

0.290686

0.26783

0.23449

0.197628

0

0.003053

0.303117

18,798

514

124

36.571984

0.885344

0.514895

0

0.19802

0

0.029792

0

1

0.163366

false

0

0.014851

0

0.311881

0.094059

0

null

0

null

0

1

0

db51ec07d8e04f942c3e7a0e0c331ea715cd23c8

19,075

py

Python

PT-FROST/frost.py

EtienneDavid/FROST

1cea124d69f07e3ac7e3ad074059d29c0849254c

[ "MIT" ]

2

2020-12-21T12:46:06.000Z

2021-03-02T08:28:15.000Z

PT-FROST/frost.py

yogsin/FROST

1cea124d69f07e3ac7e3ad074059d29c0849254c

[ "MIT" ]

null

PT-FROST/frost.py

yogsin/FROST

1cea124d69f07e3ac7e3ad074059d29c0849254c

[ "MIT" ]

2

2020-12-20T15:04:24.000Z

2021-11-21T12:29:02.000Z

import random import argparse import numpy as np import pandas as pd import os import time import string import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import DataLoader from tqdm import tqdm from model import WideResnet from cifar import get_train_loader, get_val_loader from ...

46.074879

131

0.618244

2,794

19,075

3.951324

0.128132

0.02029

0.040036

0.007971

0.369928

0.311685

0.26875

0.236413

0.220924

0.19846

0

0.022134

0.251533

19,075

413

132

46.186441

0.751138

0.045242

0

0.247813

0

0.089674

0.002366

0

1

0.020408

false

0

0.052478

0

0.087464

0.023324

0

null

0

null

0

1

0

db52db9f4875bf2abe871f56389adc2f255c93ca

8,456

py

Python

Logistic Regression/main.py

Frightera/LR-and-NN-for-Cancer-Data

54f8c9455af529c512efe012d8b3ed3f6b594a57

[ "MIT" ]

4

2021-03-10T22:18:35.000Z

2022-03-06T15:37:23.000Z

Logistic Regression/main.py

Frightera/LR-From-Scratch

54f8c9455af529c512efe012d8b3ed3f6b594a57

[ "MIT" ]

null

Logistic Regression/main.py

Frightera/LR-From-Scratch

54f8c9455af529c512efe012d8b3ed3f6b594a57

[ "MIT" ]

null

import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv("data.csv") data.info() """ Data columns (total 33 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 id 569 no...

35.830508

113

0.674078

1,297

8,456

4.258288

0.257517

0.074959

0.149919

0.0239

0.420786

0.245519

0.20641

0.195908

0.163136

0

0.143202

0.217124

8,456

235

114

35.982979

0.691088

0.12973

0

0.095238

0

0.067378

0

1

0.071429

false

0

0.071429

0

0.202381

0.059524

0

null

0

null

0

1

0

db5470b1f6ebd8cb49e975c2e7b8774a4d607820

2,446

py

Python

fine-tune/inference_embedding.py

LinHuiqing/nonparaSeq2seqVC_code

d40a0cb9dc11c77b8af56b8510e4ab041f2f2b25

[ "MIT" ]

199

2019-12-13T03:11:21.000Z

2022-03-29T15:44:49.000Z

fine-tune/inference_embedding.py

LinHuiqing/nonparaSeq2seqVC_code

d40a0cb9dc11c77b8af56b8510e4ab041f2f2b25

[ "MIT" ]

39

2019-12-16T20:08:45.000Z

2022-02-10T00:36:40.000Z

fine-tune/inference_embedding.py

LinHuiqing/nonparaSeq2seqVC_code

d40a0cb9dc11c77b8af56b8510e4ab041f2f2b25

[ "MIT" ]

57

2019-12-16T23:25:25.000Z

2022-03-28T18:04:16.000Z

import os import numpy as np import torch import argparse from hparams import create_hparams from model import lcm from train import load_model from torch.utils.data import DataLoader from reader import TextMelIDLoader, TextMelIDCollate, id2sp from inference_utils import plot_data parser = argparse.ArgumentParser() p...

33.054054

89

0.688062

297

2,446

5.407407

0.387205

0.074097

0.02802

0.021171

0.07721

0.051059

0

0.001573

0.22036

2,446

73

90

33.506849

0.840587

0.002862

0

0.098852

0.019688

0

1

0.019608

false

0

0.196078

0

0.215686

0.058824

0

null

0

null

0

1

0

db569a6325c560b769cb648e074b4a8fea4a1b00

3,954

py

Python

bombgame/recursive_bt_maze.py

JeFaProductions/bombgame2

fc2ca7c6606aecd2bec013ed307aa344a0adffc7

[ "MIT" ]

null

bombgame/recursive_bt_maze.py

JeFaProductions/bombgame2

fc2ca7c6606aecd2bec013ed307aa344a0adffc7

[ "MIT" ]

2

2019-04-04T13:53:11.000Z

2019-11-28T17:02:00.000Z

bombgame/recursive_bt_maze.py

JeFaProductions/bombgame2

fc2ca7c6606aecd2bec013ed307aa344a0adffc7

[ "MIT" ]

null

# recursive_bt_maze.py # # Author: Jens Gansloser # Created On: 16 Feb 2019 import os import random import numpy as np class RecursiveBTMaze: def __init__(self, width, height): if width % 2 == 0 or height % 2 == 0: raise ValueError("Width and height need to be odd.") self.width = wid...

28.861314

107

0.508346

502

3,954

3.88247

0.213147

0.049256

0.02822

0.020523

0.181632

0.081067

0.02668

0

0.023534

0.365959

3,954

136

108

29.073529

0.753889

0.028832

0

0.159574

0

0.012262

0

1

0.12766

false

0.010638

0.031915

0.265957

0

null

0

null

0

1

0

db579a2c18ea2f40634d5108f68e0bca010002d0

5,608

py

Python

KV_Reader.py

Nibuja05/KVConverter

74f810df4ac82358f405eac9c2f56dce13b69302

[ "MIT" ]

2

2020-07-06T00:24:27.000Z

2021-09-20T20:16:36.000Z

KV_Reader.py

Nibuja05/KVConverter

74f810df4ac82358f405eac9c2f56dce13b69302

[ "MIT" ]

null

KV_Reader.py

Nibuja05/KVConverter

74f810df4ac82358f405eac9c2f56dce13b69302

[ "MIT" ]

null

import re import math class KVPart(): """docstring for KVPart""" def __init__(self, name, tab_count = 0): #super(KVPart, self).__init__() self.name = name self.values = [] self.tab_count = tab_count self.parent = None self.master = False def add_simple_value(self, value): self.values.append(value) ...

26.704762

131

0.684736

838

5,608

4.368735

0.177804

0.032778

0.0295

0.013657

0.210325

0.150232

0.095056

0.078121

0.068287

0

0.00462

0.189551

5,608

209

132

26.832536

0.80088

0.140335

0

0.223602

0

0.017302

0

1

0.142857

false

0

0.012422

0.043478

0.285714

0

null

0

null

0

1

0

db587b6771666fcfb06093ced1689bf5fcf21ace

3,476

py

Python

scripts/updatetestsuiterefimages.py

PaulDoessel/appleseed

142908e05609cd802b3ab937ff27ef2b73dd3088

[ "MIT" ]

null

scripts/updatetestsuiterefimages.py

PaulDoessel/appleseed

142908e05609cd802b3ab937ff27ef2b73dd3088

[ "MIT" ]

null

scripts/updatetestsuiterefimages.py

PaulDoessel/appleseed

142908e05609cd802b3ab937ff27ef2b73dd3088

[ "MIT" ]

null

#!/usr/bin/python # # This source file is part of appleseed. # Visit http://appleseedhq.net/ for additional information and resources. # # This software is released under the MIT license. # # Copyright (c) 2014-2016 Francois Beaune, The appleseedhq Organization # # Permission is hereby granted, free of charge, to any ...

39.954023

99

0.592923

399

3,476

5.070175

0.461153

0.0435

0.019773

0.026693

0.05042

0.02175

0

0.003776

0.161968

3,476

86

100

40.418605

0.690697

0.559264

0

0.14238

0

1

0.117647

false

0

0.117647

0

0.235294

0.058824

0

null

0

null

0

1

0

db58e1a129781006da344d7eb154b8ae346ffb44

4,244

py

Python

raidquaza/poll/polls.py

Breee/raidquaza

308d643e71eddf6f6dc432c01322a02d604ac70e

[ "MIT" ]

2

2019-03-12T16:44:24.000Z

2020-04-13T21:06:20.000Z

raidquaza/poll/polls.py

Breee/raidquaza

308d643e71eddf6f6dc432c01322a02d604ac70e

[ "MIT" ]

5

2019-07-13T00:11:42.000Z

2021-07-29T11:55:39.000Z

raidquaza/poll/polls.py

Breee/raidquaza

308d643e71eddf6f6dc432c01322a02d604ac70e

[ "MIT" ]

null

from typing import List, Any import time from discord import Embed, Reaction from utils import uniquify # EMOJIS regional_indicator_A to regional_indicator_T reaction_emojies = ['\U0001F1E6', '\U0001F1E7', '\U0001F1E8', '\U0001F1E9', '\U00...

41.203883

119

0.583176

488

4,244

4.889344

0.266393

0.03772

0.045264

0.060352

0.269908

0.17435

0.108969

0.098072

0.083822

0

0.042152

0.312441

4,244

102

120

41.607843

0.775531

0.035815

0

0.023256

0

0.090574

0.011046

0

0.001964

0

1

0.034884

false

0.011628

0.046512

0

0.127907

0

null

0

null

0

1

0

db59947574fede70d491b2341a72a67a1fae3994

387

py

Python

Python/Regex and Parsing/Validating and Parsing Email Addresses.py

pavstar619/HackerRank

697ee46b6e621ad884a064047461d7707b1413cd

[ "MIT" ]

61

2017-04-27T13:45:12.000Z

2022-01-27T11:40:15.000Z

Python/Regex and Parsing/Validating and Parsing Email Addresses.py

fahad0193/HackerRank

eb6c95e16688c02921c1df6b6ea613667a251457

[ "MIT" ]

1

2017-06-24T14:16:06.000Z

2017-06-24T14:16:28.000Z

Python/Regex and Parsing/Validating and Parsing Email Addresses.py

fahad0193/HackerRank

eb6c95e16688c02921c1df6b6ea613667a251457

[ "MIT" ]

78

2017-07-05T11:48:20.000Z

2022-02-08T08:04:22.000Z

import email.utils as em import re class Main(): def __init__(self): self.n = int(input()) for i in range(self.n): self.s = em.parseaddr(input()) if re.match(r'^[a-zA-Z](\w|-|\.|_)+@[a-zA-Z]+\.[a-zA-Z]{0,3}$', self.s[1]): print(em.format...

24.1875

87

0.4677

56

387

3

0.607143

0.089286

0.071429

0

0.011538

0.328165

387

15

88

25.8

0.634615

0

0.090909

0.142119

0.121447

0

1

0.090909

false

0

0.181818

0

0.363636

0.090909

0

null

0

null

0

1

0

db64c7127d561a8ba836f248730b0617bfb376eb

368

py

Python

chap7/heapq_merge.py

marble-git/python-laoqi

74c4bb5459113e54ce64443e5da5a9c6a3052d6a

[ "MIT" ]

null

chap7/heapq_merge.py

marble-git/python-laoqi

74c4bb5459113e54ce64443e5da5a9c6a3052d6a

[ "MIT" ]

null

chap7/heapq_merge.py

marble-git/python-laoqi

74c4bb5459113e54ce64443e5da5a9c6a3052d6a

[ "MIT" ]

null

#coding:utf-8 ''' filename:heapq_merge.py chap:7 subject:4-2 conditions:heapq.merge,sorted_list:lst1,lst2 lst3=merged_list(lst1,lst2) is sorted solution:heapq.merge ''' import heapq lst1 = [1,3,5,7,9] lst2 = [2,4,6,8] if __name__ == '__main__': lst3 = heapq.merge(lst1,lst...

14.72

49

0.616848

56

368

3.857143

0.553571

0.185185

0.111111

0

0.091549

0.228261

368

24

50

15.333333

0.669014

0.464674

0

0.072727

0

1

0

false

0

0.142857

0

0.142857

0.285714

0

null

0

null

0

1

0

db654a453fae8398e895160a150ba86dbbcc20b1

1,966

py

Python

bindings/python/examples/feature_example.py

lithathampan/wav2letter

8abf8431d99da147cc4aefc289ad33626e13de6f

[ "BSD-3-Clause" ]

1

2020-07-27T20:51:32.000Z

bindings/python/examples/feature_example.py

lithathampan/wav2letter

8abf8431d99da147cc4aefc289ad33626e13de6f

[ "BSD-3-Clause" ]

null

bindings/python/examples/feature_example.py

lithathampan/wav2letter

8abf8431d99da147cc4aefc289ad33626e13de6f

[ "BSD-3-Clause" ]

1

2021-09-27T16:18:20.000Z

#!/usr/bin/env python3 # adapted from wav2letter/src/feature/test/MfccTest.cpp import itertools as it import os import sys from wav2letter.feature import FeatureParams, Mfcc def load_data(filename): path = os.path.join(data_path, filename) path = os.path.abspath(path) with open(path) as f: retu...

30.71875

86

0.657172

277

1,966

4.545126

0.411552

0.019063

0.043685

0.028594

0

0.041912

0.223296

1,966

63

87

31.206349

0.78258

0.11292

0

0.111047

0.076525

0

0.093023

1

0.023256

false

0

0.093023

0

0.139535

0.093023

0

null

0

null

0

1

0

db65bd23cd7117025faa3493e9ff0bcdc4419ed0

3,227

py

Python

app.py

shreyashack/PY_Message_Decryption

251a82ee26c529ff63668328230c9d494f4c9cfa

[ "MIT" ]

1

2020-11-18T10:01:13.000Z

app.py

shreyashack/PY_Message_Decryption

251a82ee26c529ff63668328230c9d494f4c9cfa

[ "MIT" ]

null

app.py

shreyashack/PY_Message_Decryption

251a82ee26c529ff63668328230c9d494f4c9cfa

[ "MIT" ]

null

from tkinter import * import onetimepad class Message_Decrypt: def __init__(self,root): self.root=root self.root.title("Message Decryption") self.root.geometry("400x475") self.root.iconbitmap("logo368.ico") self.root.resizable(0,0) def on_enter1(e): but...

34.329787

154

0.577007

387

3,227

4.674419

0.289406

0.066888

0.023217

0.026534

0.330569

0.305141

0

0.042511

0.220019

3,227

93

155

34.698925

0.676202

0.070344

0

0.032258

0

0.137366

0

1

0.112903

false

0

0.032258

0

0.16129

0.016129

0

null

0

null

0

1

0

db682583f2b418b3755329c159971a743aab45f6

589

py

Python

backend/tests/test_api/test_api_auth.py

abodacs/fastapi-ml-skeleton

fa9a013d06e70cbaff9b9469db32246e41ce7e0f

[ "Apache-2.0" ]

null

backend/tests/test_api/test_api_auth.py

abodacs/fastapi-ml-skeleton

fa9a013d06e70cbaff9b9469db32246e41ce7e0f

[ "Apache-2.0" ]

3

2020-03-16T22:07:31.000Z

2021-06-25T15:33:38.000Z

backend/tests/test_api/test_api_auth.py

abodacs/fastapi-ml-skeleton

fa9a013d06e70cbaff9b9469db32246e41ce7e0f

[ "Apache-2.0" ]

null

# Skeleton from fastapi_skeleton.core import messages def test_auth_using_prediction_api_no_apikey_header(test_client) -> None: response = test_client.post("/api/model/predict") assert response.status_code == 400 assert response.json() == {"detail": messages.NO_API_KEY} def test_auth_using_prediction_ap...

34.647059

86

0.728353

77

589

5.246753

0.441558

0.09901

0.054455

0.079208

0.613861

0.455446

0.311881

0

0.011881

0.142615

589

16

87

36.8125

0.788119

0.013582

0

0.126079

0

0.363636

1

0.181818

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

db693358ac60e6cb090422f46492eb2fca4b02bf

2,434

py

Python

object_detection/box_coders/mean_stddev_box_coder.py

ophirSarusi/TF_Object_Detection

e08ccd18c6f14586e048048a445cf5a10dbc7c4d

[ "MIT" ]

59

2018-09-23T09:34:24.000Z

2020-03-10T04:31:27.000Z

object_detection/box_coders/mean_stddev_box_coder.py

ophirSarusi/TF_Object_Detection

e08ccd18c6f14586e048048a445cf5a10dbc7c4d

[ "MIT" ]

46

2018-07-10T23:53:15.000Z

2022-02-06T03:31:47.000Z

object_detection/box_coders/mean_stddev_box_coder.py

ophirSarusi/TF_Object_Detection

e08ccd18c6f14586e048048a445cf5a10dbc7c4d

[ "MIT" ]

58

2018-09-23T10:31:47.000Z

2021-11-08T11:34:40.000Z

# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...

34.28169

81

0.671323

320

2,434

5.025

0.39375

0.037313

0.027363

0.039801

0.320274

0.280473

0.236318

0

0.004782

0.226787

2,434

70

82

34.771429

0.849628

0.603944

0

0.3

0

0.112102

0

1

0.15

false

0

0.1

0.05

0.45

0

null

0

null

0

1

0

db6aa256e7b60e45c5a9fbde4a14ff7a63101137

3,544

py

Python

hlrl/torch/agents/wrappers/agent.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/agents/wrappers/agent.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/agents/wrappers/agent.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

import torch from typing import Any, Dict, List, OrderedDict, Tuple from hlrl.core.agents import RLAgent from hlrl.core.common.wrappers import MethodWrapper class TorchRLAgent(MethodWrapper): """ A torch agent that wraps its experiences as torch tensors. """ def __init__(self, agent:...

27.905512

79

0.577596

404

3,544

4.955446

0.247525

0.034965

0.027972

0.023976

0

0.001292

0.344808

3,544

126

80

28.126984

0.860896

0.334368

0

0.098039

0

0.005028

0

1

0.156863

false

0

0.078431

0.019608

0.392157

0

null

0

null

0

1

0

db6b5bcc7b8379dc6e51f6670d5ff0c0d562417c

649

py

Python

PixivConstant.py

NHOrus/PixivUtil2

facd6b1a21e4adf5edf1de4d4809e94e834246b6

[ "BSD-2-Clause" ]

null

PixivConstant.py

NHOrus/PixivUtil2

facd6b1a21e4adf5edf1de4d4809e94e834246b6

[ "BSD-2-Clause" ]

null

PixivConstant.py

NHOrus/PixivUtil2

facd6b1a21e4adf5edf1de4d4809e94e834246b6

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- PIXIVUTIL_VERSION = '20191220-beta1' PIXIVUTIL_LINK = 'https://github.com/Nandaka/PixivUtil2/releases' PIXIVUTIL_DONATE = 'https://bit.ly/PixivUtilDonation' # Log Settings PIXIVUTIL_LOG_FILE = 'pixivutil.log' PIXIVUTIL_LOG_SIZE = 10485760 PIXIVUTIL_LOG_COUNT = 10 PIXIVUTIL_LOG_FORMAT = "%(asct...

25.96

77

0.784284

87

649

5.517241

0.632184

0.125

0

0.064125

0.11094

649

24

78

27.041667

0.767764

0.078582

0

0.26431

0

1

0

false

0

null

0

null

0

1

0

db6b74f1fcb56888f5ba09963ca5bb5ed146122f

8,906

py

Python

dynamic_schemas/views.py

Threemusketeerz/DSystems

cd03ad2fa6b55872d57bfd01a4ac781aa5cbed8c

[ "BSD-2-Clause" ]

1

2018-01-23T12:23:48.000Z

dynamic_schemas/views.py

Threemusketeerz/DSystems

cd03ad2fa6b55872d57bfd01a4ac781aa5cbed8c

[ "BSD-2-Clause" ]

1

2018-01-19T08:43:59.000Z

2018-01-23T12:20:43.000Z

dynamic_schemas/views.py

Threemusketeerz/DSystems

cd03ad2fa6b55872d57bfd01a4ac781aa5cbed8c

[ "BSD-2-Clause" ]

null

from django.http import Http404 from django.shortcuts import render, redirect, reverse from django.views.generic import ListView from django.contrib.auth.decorators import login_required from django.contrib.auth.mixins import LoginRequiredMixin from django.contrib.auth.models import User from rest_framework import st...

32.50365

79

0.613631

991

8,906

5.353179

0.273461

0.036192

0.025071

0.032988

0.202074

0.124411

0.075778

0.051272

0.038077

0

0.002032

0.281608

8,906

273

80

32.622711

0.827133

0.168538

0

0.170732

0

0.066413

0.024483

0

0.007326

0

1

0.073171

false

0

0.091463

0.006098

0.317073

0

null

0

null

0

1

0

db6ec26c39a9f24fdd4d35e11407f85831432a46

24,215

py

Python

api/views.py

conscience99/lyriko

0ecc9e4d5ec8e3d746fcb286209a1e7993548a66

[ "MIT" ]

null

api/views.py

conscience99/lyriko

0ecc9e4d5ec8e3d746fcb286209a1e7993548a66

[ "MIT" ]

null

api/views.py

conscience99/lyriko

0ecc9e4d5ec8e3d746fcb286209a1e7993548a66

[ "MIT" ]

null

from django.shortcuts import render from rest_framework import response from rest_framework.serializers import Serializer from . import serializers from rest_framework.response import Response from rest_framework.views import APIView from django.views import View from rest_framework import status from . models import S...

38.436508

356

0.617097

2,569

24,215

5.697548

0.127676

0.048849

0.030744

0.043042

0.632097

0.571702

0.520325

0.457471

0.437863

0.425224

0

0.005792

0.265662

24,215

629

357

38.497615

0.817343

0.000702

0

0.498943

0

0.066374

0

1

0.061311

false

0.033827

0.080338

0

0.344609

0

null

0

null

0

1

0

db705bf281d4e51af41d8edd5763fe3fe1cf7124

3,936

py

Python

lab6.py

jschmidtnj/CS115

fa2374f1ae9c9b63e572850a97af6086112d7a36

[ "MIT" ]

null

lab6.py

jschmidtnj/CS115

fa2374f1ae9c9b63e572850a97af6086112d7a36

[ "MIT" ]

null

lab6.py

jschmidtnj/CS115

fa2374f1ae9c9b63e572850a97af6086112d7a36

[ "MIT" ]

1

2022-01-03T01:44:39.000Z

''' Created on 10/11/2017 @author: jschmid3@stevens.edu Pledge: I pledge my honor that I have abided by the Stevens Honor System -Joshua Schmidt CS115 - Lab 6 ''' def isOdd(n): '''Returns whether or not the integer argument is odd.''' #question 1: base_2 of 42: 101010 if n == 0: return False ...

33.641026

121

0.621697

622

3,936

3.932476

0.233119

0.011038

0.038839

0.044971

0.322567

0.312756

0.284137

0.243663

0.221586

0

0.054953

0.251016

3,936

116

122

33.931034

0.774763

0.567073

0

0.3

0

0.003769

0

1

0.15

false

0

0.466667

0.05

0

null

0

null

0

1

0

db73a20804b8cf971455500dd1ae60cb3137e6bf

4,321

py

Python

src/processing/augmentation.py

sdcubber/kaggle_carvana

44f6c7f1e80be2caa3c7ad4c7fb69067af45fe8f

[ "MIT" ]

null

src/processing/augmentation.py

sdcubber/kaggle_carvana

44f6c7f1e80be2caa3c7ad4c7fb69067af45fe8f

[ "MIT" ]

null

src/processing/augmentation.py

sdcubber/kaggle_carvana

44f6c7f1e80be2caa3c7ad4c7fb69067af45fe8f

[ "MIT" ]

null

# Script for data augmentation functions import numpy as np from collections import deque from PIL import Image import cv2 from data.config import * def imread_cv2(image_path): """ Read image_path with cv2 format (H, W, C) if image is '.gif' outputs is a numpy array of {0,1} """ image_format = ima...

36.931624

129

0.669058

640

4,321

4.453125

0.270313

0.066316

0.047368

0.050526

0.402807

0.324211

0.287018

0.241404

0.22807

0

0.034863

0.203425

4,321

116

130

37.25

0.793144

0.303633

0

0.291667

0

0.00103

0

0.008621

0

1

0.166667

false

0

0.069444

0.013889

0.388889

0

null

0

null

0

1

0

db74905cc0d77c3c1aff987d3c4f57d66e26cc16

1,905

py

Python

terrafirma/core/views/env.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

terrafirma/core/views/env.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

terrafirma/core/views/env.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

from django.shortcuts import render, redirect, get_object_or_404 from django.urls import reverse_lazy from django import views from django.views import generic as g_views from django.views.generic import base as b_views, edit as e_views from .. import forms, models class NewEnvView(e_views.CreateView): model = m...

30.238095

85

0.67979

251

1,905

5

0.262948

0.055777

0.081275

0.045418

0.422311

0.404781

0.301195

0.243825

0

0.003919

0.196325

1,905

62

86

30.725806

0.815807

0

0.422222

0

0.048294

0

1

0.177778

false

0

0.133333

0.066667

0.755556

0

null

0

null

0

1

0

db777f4b56a68caa06eca0c2b86f08c668527cb4

2,717

py

Python

Archive/train_cnn.py

Yeok-c/Urban-Sound-Classification

98c46eb54266ef7b859d192e9bebe8a5d48e1708

[ "Apache-2.0" ]

null

Archive/train_cnn.py

Yeok-c/Urban-Sound-Classification

98c46eb54266ef7b859d192e9bebe8a5d48e1708

[ "Apache-2.0" ]

null

Archive/train_cnn.py

Yeok-c/Urban-Sound-Classification

98c46eb54266ef7b859d192e9bebe8a5d48e1708

[ "Apache-2.0" ]

null

### Load necessary libraries ### import numpy as np from sklearn.model_selection import KFold from sklearn.metrics import accuracy_score import tensorflow as tf from tensorflow import keras from sklearn.metrics import ConfusionMatrixDisplay model = get_network() model.summary() ### Train and evaluate via 10-Folds ...

40.552239

123

0.670225

391

2,717

4.483376

0.383632

0.017114

0.028523

0.11352

0.105533

0.03765

0

0.022748

0.207214

2,717

66

124

41.166667

0.791086

0.179242

0

0.045455

0

0.091444

0.010865

0

1

0

false

0

0.136364

0

0.136364

0.045455

0

null

0

null

0

1

0

db77a4da0f8fc3044cf961cfd37d6efdc53cb0ed

274

py

Python

Python3/1436-Destination-City/soln.py

wyaadarsh/LeetCode-Solutions

3719f5cb059eefd66b83eb8ae990652f4b7fd124

[ "MIT" ]

5

2020-07-24T17:48:59.000Z

2020-12-21T05:56:00.000Z

Python3/1436-Destination-City/soln.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

null

Python3/1436-Destination-City/soln.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

2

2020-07-24T17:49:01.000Z

2020-08-31T19:57:35.000Z

class Solution: def destCity(self, paths: List[List[str]]) -> str: bads = set() cities = set() for u, v in paths: cities.add(u) cities.add(v) bads.add(u) ans = cities - bads return list(ans)[0]

24.909091

54

0.474453

35

274

3.714286

0.542857

0.138462

0

0.006061

0.39781

274

10

55

27.4

0.781818

0

1

0.1

false

0

0.3

0

null

0

null

0

1

0

db77b07e8a875d39eb972f8b432c0f0db96a2c4f

6,105

py

Python

metaflow/plugins/kfp/tests/flows/resources_flow.py

zillow/metaflow

a42dc9eab04695f2b0a429874e607ed67d5a2b45

[ "Apache-2.0" ]

7

2020-07-24T17:07:58.000Z

2021-05-19T21:47:12.000Z

metaflow/plugins/kfp/tests/flows/resources_flow.py

zillow/metaflow

a42dc9eab04695f2b0a429874e607ed67d5a2b45

[ "Apache-2.0" ]

55

2020-07-20T16:56:27.000Z

2022-03-28T12:51:15.000Z

metaflow/plugins/kfp/tests/flows/resources_flow.py

zillow/metaflow

a42dc9eab04695f2b0a429874e607ed67d5a2b45

[ "Apache-2.0" ]

6

2020-10-15T18:38:35.000Z

2021-06-20T03:05:43.000Z

import os import pprint import subprocess import time from typing import Dict, List from kubernetes.client import ( V1EnvVar, V1EnvVarSource, V1ObjectFieldSelector, V1ResourceFieldSelector, ) from metaflow import FlowSpec, step, environment, resources, current def get_env_vars(env_resources: Dict[st...

30.073892

71

0.591646

699

6,105

4.964235

0.228898

0.051873

0.065706

0.093372

0.37781

0.286167

0.225072

0.192795

0.17147

0.152738

0

0.022686

0.285176

6,105

202

72

30.222772

0.772456

0.044717

0

0.216867

0

0.211231

0.066804

0

0.138554

1

0.048193

false

0

0.042169

0

0.10241

0.036145

0

null

0

null

0

1

0

db79520622b9fcae917edbc819e1d1c2cae17bf8

5,951

py

Python

src/nb_utils/general.py

redfrexx/osm_association_rules

33975ce25047f9ab3b21e890bc5ed9bab59a0a2f

[ "BSD-3-Clause" ]

null

src/nb_utils/general.py

redfrexx/osm_association_rules

33975ce25047f9ab3b21e890bc5ed9bab59a0a2f

[ "BSD-3-Clause" ]

null

src/nb_utils/general.py

redfrexx/osm_association_rules

33975ce25047f9ab3b21e890bc5ed9bab59a0a2f

[ "BSD-3-Clause" ]

2

2021-05-10T10:19:13.000Z

2021-09-15T10:32:10.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """Functions used for data handling """ __author__ = "Christina Ludwig, GIScience Research Group, Heidelberg University" __email__ = "christina.ludwig@uni-heidelberg.de" import os import yaml from shapely.geometry import box import numpy as np import pandas as pd import g...

40.482993

363

0.668627

799

5,951

4.740926

0.272841

0.042767

0.023759

0.021119

0.238648

0.206441

0.200634

0.172122

0.157339

0

0.002307

0.198622

5,951

146

364

40.760274

0.79199

0.140985

0

0.02439

0

0.262321

0.00684

0

1

0.060976

false

0

0.097561

0

0.219512

0.04878

0

null

0

null

0

1

0

db7ad2b92a14b73e461a5d252d3a7ab245920c9f

3,922

py

Python

keystoneclient/auth/identity/v3/federated.py

darren-wang/ksc

fd096540e8e57b6bd7c923f4cb4ad6616d103cc8

[ "Apache-1.1" ]

1

2019-09-11T11:56:19.000Z

tools/dockerize/webportal/usr/lib/python2.7/site-packages/keystoneclient/auth/identity/v3/federated.py

foruy/openflow-multiopenstack

74140b041ac25ed83898ff3998e8dcbed35572bb

[ "Apache-2.0" ]

null

tools/dockerize/webportal/usr/lib/python2.7/site-packages/keystoneclient/auth/identity/v3/federated.py

foruy/openflow-multiopenstack

74140b041ac25ed83898ff3998e8dcbed35572bb

[ "Apache-2.0" ]

null

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

35.017857

77

0.63284

452

3,922

5.320796

0.369469

0.073181

0.013721

0.013306

0.051559

0.031601

0

0.002147

0.287353

3,922

111

78

35.333333

0.858318

0.375319

0

0.132514

0.03993

0

1

0.113208

false

0

0.09434

0.018868

0.320755

0

null

0

null

0

1

0

db7cbd4afe84d62fa37ba5ff4602788af4116b50

802

py

Python

config.py

iDevHank/i18n

ec731b5d6fab330a868ebb9f9e11ff1caef629ef

[ "MIT" ]

null

config.py

iDevHank/i18n

ec731b5d6fab330a868ebb9f9e11ff1caef629ef

[ "MIT" ]

null

config.py

iDevHank/i18n

ec731b5d6fab330a868ebb9f9e11ff1caef629ef

[ "MIT" ]

null

#!/usr/bin/env python3 # The format of your own localizable method. # This is an example of '"string".localized' SUFFIX = '.localized' KEY = r'"(?:\\.|[^"\\])*"' LOCALIZABLE_RE = r'%s%s' % (KEY, SUFFIX) # Specify the path of localizable files in project. LOCALIZABLE_FILE_PATH = '' LOCALIZABLE_FILE_NAMES = ['Localizab...

33.416667

71

0.634663

92

802

5.336957

0.532609

0.1222

0.016293

0.020367

0

0.001486

0.160848

802

23

72

34.869565

0.728083

0.229426

0

0.353997

0.071778

0

1

0

false

0

null

0

null

0

1

0

db7dbf749958b5f62cb5ff7deb97ed3b8e66afdf

1,771

py

Python

MuonGun/resources/scripts/histreduce.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

1

2020-12-24T22:00:01.000Z

MuonGun/resources/scripts/histreduce.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

null

MuonGun/resources/scripts/histreduce.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

3

2020-07-17T09:20:29.000Z

2021-03-30T16:44:18.000Z

#!/usr/bin/env python """ Add all (potentially gigantic) histograms in a group of files. """ import dashi import tables import os, sys, operator, shutil from optparse import OptionParser parser = OptionParser(usage="%prog [OPTIONS] infiles outfile", description=__doc__) parser.add_option("--blocksize", dest="blocksi...

31.070175

83

0.728967

255

1,771

4.968627

0.466667

0.023678

0.04262

0.036306

0.044199

0

0.007895

0.141728

1,771

56

84

31.625

0.825658

0.115754

0

0.052632

0

0.126132

0

1

0.026316

false

0

0.131579

0

0.157895

0.026316

0

null

0

null

0

1

0

db7e13c9886abafe9915d05b01539badc566a636

2,108

py

Python

procrastinate/exceptions.py

ignaciocabeza/procrastinate

95ba8c7acdf39aa7a1216c19903802b4f65b65d1

[ "MIT" ]

null

procrastinate/exceptions.py

ignaciocabeza/procrastinate

95ba8c7acdf39aa7a1216c19903802b4f65b65d1

[ "MIT" ]

null

procrastinate/exceptions.py

ignaciocabeza/procrastinate

95ba8c7acdf39aa7a1216c19903802b4f65b65d1

[ "MIT" ]

null

import datetime class ProcrastinateException(Exception): """ Unexpected Procrastinate error. """ def __init__(self, message=None): if not message: message = self.__doc__ super().__init__(message) class TaskNotFound(ProcrastinateException): """ Task cannot be impo...

22.913043

84

0.675047

214

2,108

6.453271

0.462617

0.050688

0.023896

0.044895

0.031861

0

0.000611

0.223435

2,108

91

85

23.164835

0.843006

0.429791

0

1

0.136364

false

0

0.090909

0

0.727273

0

null

0

null

0

1

0

db7efcd3ba8afeab68792a36832e16d7660931cd

1,097

py

Python

question3.py

haojunsng/foodpanda-dataeng

b1b9a5c615113a1b8727c9c7dfe7ad3e50059428

[ "MIT" ]

null

question3.py

haojunsng/foodpanda-dataeng

b1b9a5c615113a1b8727c9c7dfe7ad3e50059428

[ "MIT" ]

null

question3.py

haojunsng/foodpanda-dataeng

b1b9a5c615113a1b8727c9c7dfe7ad3e50059428

[ "MIT" ]

null

from functions import get_df, write_df import geopy from geopy import distance """ The function question3 takes in the latitude and longitude of potential distress locations, and returns the nearest port with essential provisions such as water, fuel_oil and diesel. """ def question3(dataset_name, latitude, longitude)...

36.566667

143

0.71103

144

1,097

5.1875

0.493056

0.048193

0.10174

0

0.027115

0.159526

1,097

29

144

37.827586

0.78308

0

0.136714

0

1

0.058824

false

0

0.176471

0

0.235294

0

null

0

null

0

1

0

db808d5da5102b2f6086cfb47bc515cc8e85e1ce

6,587

py

Python

plugins/aea-cli-benchmark/aea_cli_benchmark/case_acn_communication/case.py

valory-xyz/agents-aea

8f38efa96041b0156ed1ae328178e395dbabf2fc

[ "Apache-2.0" ]

null

plugins/aea-cli-benchmark/aea_cli_benchmark/case_acn_communication/case.py

valory-xyz/agents-aea

8f38efa96041b0156ed1ae328178e395dbabf2fc

[ "Apache-2.0" ]

null

plugins/aea-cli-benchmark/aea_cli_benchmark/case_acn_communication/case.py

valory-xyz/agents-aea

8f38efa96041b0156ed1ae328178e395dbabf2fc

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2022 Valory AG # Copyright 2018-2021 Fetch.AI Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance...

30.780374

93

0.591316

719

6,587

5.182198

0.297636

0.041331

0.025497

0.029522

0.271337

0.263553

0.24423

0.231884

0

0.016717

0.300744

6,587

213

94

30.924883

0.792228

0.152573

0

0.329032

0

0.019842

0

1

0.045161

false

0

0.070968

0.019355

0.16129

0

null

0

null

0

1

0

db83659c6d0ac1aa7ea69a87f18b5fd2867e5ddc

3,651

py

Python

genomics_algo/utilities/string_cmp.py

SvoONs/genomics_algo

3174c1e9e685db12c5849ce5c7e3411f1922a4be

[ "MIT" ]

null

genomics_algo/utilities/string_cmp.py

SvoONs/genomics_algo

3174c1e9e685db12c5849ce5c7e3411f1922a4be

[ "MIT" ]

38

2020-11-11T21:26:56.000Z

2021-03-20T23:25:49.000Z

genomics_algo/utilities/string_cmp.py

SvoONs/genomics_algo

3174c1e9e685db12c5849ce5c7e3411f1922a4be

[ "MIT" ]

1

2020-11-13T21:38:43.000Z

def longest_common_prefix(s1: str, s2: str) -> str: """ Finds the longest common prefix (substring) given two strings s1: First string to compare s2: Second string to compare Returns: Longest common prefix between s1 and s2 >>> longest_common_prefix("ACTA", "GCCT") '' >>> long...

28.97619

81

0.586962

471

3,651

4.392781

0.220807

0.131948

0.101015

0.019333

0.278879

0.21943

0.148864

0.118898

0.086032

0

0.030236

0.25719

3,651

125

82

29.208

0.73267

0.611339

0

0.037037

1

0.148148

false

0

0.296296

0

null

0

null

0

1

0

db836b59bf5fd8d655aefd6e4020d61dca742b2c

11,906

py

Python

whyqd/parsers/wrangling_parser.py

whythawk/whyqd

8ee41768d6788318458d41831200594b61777ccc

[ "BSD-3-Clause" ]

17

2020-02-21T14:41:24.000Z

2022-01-31T20:25:53.000Z

whyqd/parsers/wrangling_parser.py

whythawk/whyqd

8ee41768d6788318458d41831200594b61777ccc

[ "BSD-3-Clause" ]

null

whyqd/parsers/wrangling_parser.py

whythawk/whyqd

8ee41768d6788318458d41831200594b61777ccc

[ "BSD-3-Clause" ]

null

from __future__ import annotations from typing import Optional, Dict, List, Union, Type, TYPE_CHECKING from datetime import date, datetime import pandas as pd import numpy as np import re import locale try: locale.setlocale(locale.LC_ALL, "en_US.UTF-8") except locale.Error: # Readthedocs has a problem, but dif...

38.160256

128

0.534184

1,405

11,906

4.474733

0.27758

0.015747

0.002863

0.013997

0.134404

0.058374

0.03881

0.01527

0

0.010775

0.337393

11,906

311

129

38.282958

0.786158

0.354611

0

0.154839

0

0.006452

0.077332

0

0.003215

0

1

0.045161

false

0

0.077419

0

0.212903

0

null

0

null

0

1

0

db83c7d51feb9c6d2d6569094bc6e9a0eb64b2ce

432

py

Python

0x02-python-import_modules/2-args.py

FatChicken277/holbertonschool-higher_level_programming

520d6310a5e2a874f8c5f5185d0fb769b6412e7c

[ "CNRI-Python" ]

null

0x02-python-import_modules/2-args.py

FatChicken277/holbertonschool-higher_level_programming

520d6310a5e2a874f8c5f5185d0fb769b6412e7c

[ "CNRI-Python" ]

null

0x02-python-import_modules/2-args.py

FatChicken277/holbertonschool-higher_level_programming

520d6310a5e2a874f8c5f5185d0fb769b6412e7c

[ "CNRI-Python" ]

null

#!/usr/bin/python3 def args(args): lenn = len(args) - 1 if lenn == 0: print("0 arguments.") elif lenn == 1: print("{0} argument:".format(lenn)) print("{0}: {1}".format(lenn, args[lenn])) elif lenn > 1: print("{0} arguments:".format(lenn)) for i in range(lenn): ...

25.411765

52

0.518519

61

432

3.540984

0.393443

0.138889

0.12963

0.296296

0

0.044872

0.277778

432

16

53

27

0.647436

0.039352

0

0.152174

0

1

0.071429

false

0

0.071429

0

0.142857

0.357143

0

null

0

null

0

1

0

db8779ff5f2f1e236cb5f3cfe96c63ab0de64f28

5,766

py

Python

keystone/common/sql/migrate_repo/versions/001_add_initial_tables.py

sanket4373/keystone

7cf7e7497729803f0470167315af9349b88fe0ec

[ "Apache-2.0" ]

null

keystone/common/sql/migrate_repo/versions/001_add_initial_tables.py

sanket4373/keystone

7cf7e7497729803f0470167315af9349b88fe0ec

[ "Apache-2.0" ]

null

keystone/common/sql/migrate_repo/versions/001_add_initial_tables.py

sanket4373/keystone

7cf7e7497729803f0470167315af9349b88fe0ec

[ "Apache-2.0" ]

null

# Copyright 2012 OpenStack Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...

36.961538

79

0.620534

744

5,766

4.700269

0.211022

0.08493

0.066057

0.055762

0.646554

0.60795

0.517872

0.480412

0.448098

0.437804

0

0.016159

0.259452

5,766

155

80

37.2

0.80281

0.249913

0

0.490385

0

0.095038

0.010249

0

1

0.019231

false

0

0.009615

0

0.028846

0

null

0

null

0

1

0

db885085ce16df342f9eaff7d4d323eb7dc1a85c

15,984

py

Python

boa3_test/examples/ico.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/examples/ico.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/examples/ico.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

from typing import Any, List, Union from boa3.builtin import NeoMetadata, metadata, public from boa3.builtin.contract import Nep17TransferEvent from boa3.builtin.interop.blockchain import get_contract from boa3.builtin.interop.contract import GAS, NEO, call_contract from boa3.builtin.interop.runtime import calling_scr...

33.509434

118

0.673486

2,129

15,984

4.943166

0.138093

0.035918

0.010452

0.011307

0.511688

0.45401

0.424458

0.415811

0.394147

0.360414

0

0.01951

0.223974

15,984

476

119

33.579832

0.828926

0.518456

0

0.397661

0

0.027119

0.003408

0

0.002101

0.064327

1

0.105263

false

0

0.046784

0

0.339181

0

null

0

null

0

1

0

db8859ce66203d2b7d494162105376778915c59d

20,640

py

Python

emotion_recognition.py

Partaourides/SERN

e6cc0a9a0cc3ac4b9a87e3ccdf5781792f85d718

[ "MIT" ]

10

2019-05-07T02:20:02.000Z

2020-10-09T02:20:31.000Z

emotion_recognition.py

Partaourides/SERN

e6cc0a9a0cc3ac4b9a87e3ccdf5781792f85d718

[ "MIT" ]

2

2020-06-27T13:09:03.000Z

2021-07-28T04:55:38.000Z

emotion_recognition.py

Partaourides/SERN

e6cc0a9a0cc3ac4b9a87e3ccdf5781792f85d718

[ "MIT" ]

1

2019-07-18T00:28:13.000Z

import os # Restrict the script to run on CPU os.environ ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"] = "" # Import Keras Tensoflow Backend # from keras import backend as K import tensorflow as tf # Configure it to use only specific CPU Cores config = tf.ConfigProto(intra_op_parallelism_thre...

58.971429

128

0.463275

1,907

20,640

4.664394

0.111169

0.051714

0.031478

0.019786

0.662619

0.616639

0.58842

0.528836

0.497583

0.469028

0

0.003322

0.227132

20,640

349

129

59.140401

0.554288

0.070058

0

0.373874

0

0.081601

0.012219

0

1

0.009009

false

0

0.036036

0

0.045045

0.018018

0

null

0

null

0

1

0

db889090b0a80e5b1926c1a844e99f3562167374

1,779

py

Python

dashboard/rpc/alias.py

flaree/Toxic-Cogs

e33c3fe3a81c86ef3c89928b0a977fae13b916a9

[ "MIT" ]

null

dashboard/rpc/alias.py

flaree/Toxic-Cogs

e33c3fe3a81c86ef3c89928b0a977fae13b916a9

[ "MIT" ]

null

dashboard/rpc/alias.py

flaree/Toxic-Cogs

e33c3fe3a81c86ef3c89928b0a977fae13b916a9

[ "MIT" ]

null

import discord from redbot.core.bot import Red from redbot.core.commands import commands from redbot.core.utils.chat_formatting import humanize_list from .utils import permcheck, rpccheck class DashboardRPC_AliasCC: def __init__(self, cog: commands.Cog): self.bot: Red = cog.bot self.co...

32.345455

81

0.540191

182

1,779

5.175824

0.379121

0.076433

0.044586

0.038217

0.055202

0

0.003347

0.328274

1,779

54

82

32.944444

0.784937

0.012929

0

0.087647

0.013529

0

1

0.068182

false

0

0.113636

0.022727

0.25

0

null

0

null

0

1

0

db88f0e02537c3b3ec61c4fbd738d9a4605bd04a

6,939

py

Python

train.py

hafezgh/music_classification

68fa398b7d4455475d07ae17c3b6b94459a96ac7

[ "MIT" ]

1

2021-07-15T18:47:02.000Z

train.py

hafezgh/music_classification

68fa398b7d4455475d07ae17c3b6b94459a96ac7

[ "MIT" ]

null

train.py

hafezgh/music_classification

68fa398b7d4455475d07ae17c3b6b94459a96ac7

[ "MIT" ]

null

import torch DEVICE = 'cuda' import math import torch.optim as optim from model import * import os import copy, gzip, pickle, time data_dir = './drive/MyDrive/music_classification/Data' classes = os.listdir(data_dir+'/images_original') def fit(model, train_loader, train_len, optimizer, criterion): model.train() ...

40.343023

118

0.607292

839

6,939

4.777116

0.190703

0.026198

0.022455

0.021956

0.312625

0.27495

0.220559

0.166667

0.124252

0

0.012048

0.282317

6,939

172

119

40.343023

0.792771

0.038911

0

0.267974

0

0.159088

0.030317

0

1

0.019608

false

0

0.039216

0

0.078431

0.091503

0

null

0

null

0

1

0

db8bf109b16daade88fa4febce0557b98851466c

476

py

Python

doc/samples/pos.py

m4ta1l/doit

d1a1b7b3abc7641d977d3b78b580d97aea4e27ea

[ "MIT" ]

1,390

2015-01-01T21:11:47.000Z

2022-03-31T11:35:44.000Z

doc/samples/pos.py

m4ta1l/doit

d1a1b7b3abc7641d977d3b78b580d97aea4e27ea

[ "MIT" ]

393

2015-01-05T11:18:29.000Z

2022-03-20T11:46:46.000Z

doc/samples/pos.py

m4ta1l/doit

d1a1b7b3abc7641d977d3b78b580d97aea4e27ea

[ "MIT" ]

176

2015-01-07T16:58:56.000Z

2022-03-28T12:12:11.000Z

def task_pos_args(): def show_params(param1, pos): print('param1 is: {0}'.format(param1)) for index, pos_arg in enumerate(pos): print('positional-{0}: {1}'.format(index, pos_arg)) return {'actions':[(show_params,)], 'params':[{'name':'param1', 'shor...

34

63

0.44958

47

476

4.404255

0.574468

0.086957

0.10628

0

0.027027

0.378151

476

13

64

36.615385

0.672297

0

0.212185

0

1

0.153846

false

0

0.230769

0.153846

0

null

0

null

0

1

0

db8c048cea31b2b7400108b7a16a198179252811

24,553

py

Python

projectq/backends/_qracksim/_simulator_test.py

vm6502q/ProjectQ

1eac4b1f529551dfc1668443eba0c68dee54120b

[ "Apache-2.0" ]

1

2019-08-29T19:04:27.000Z

projectq/backends/_qracksim/_simulator_test.py

vm6502q/ProjectQ

1eac4b1f529551dfc1668443eba0c68dee54120b

[ "Apache-2.0" ]

6

2019-01-27T17:05:25.000Z

2020-02-24T00:15:59.000Z

projectq/backends/_qracksim/_simulator_test.py

vm6502q/ProjectQ

1eac4b1f529551dfc1668443eba0c68dee54120b

[ "Apache-2.0" ]

null

# Copyright 2017 ProjectQ-Framework (www.projectq.ch) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by app...

33.680384

115

0.629455

3,208

24,553

4.664277

0.115025

0.030743

0.02172

0.033683

0.584442

0.517877

0.454321

0.427187

0.405734

0.383947

0

0.030553

0.24551

24,553

728

116

33.726648

0.777166

0.071111

0

0.469203

0

0.009068

0.005502

0

0.141304

1

0.059783

false

0.003623

0.036232

0.001812

0.117754

0.001812

0

null

0

null

0

1

0

db8f8bf38af010e37a76dcb939676a34f09f75d2

1,693

py

Python

com_reader.py

plusterm/plusterm

45e9382accdaae7d51c65cab77e571bc6d264936

[ "MIT" ]

2

2018-01-10T16:20:45.000Z

2018-01-16T12:04:13.000Z

com_reader.py

plusterm/plusterm

45e9382accdaae7d51c65cab77e571bc6d264936

[ "MIT" ]

14

2018-01-10T12:56:43.000Z

2018-05-11T16:28:31.000Z

com_reader.py

plusterm/plusterm

45e9382accdaae7d51c65cab77e571bc6d264936

[ "MIT" ]

null

# from wx.lib.pubsub import pub from pubsub import pub import serial import threading import queue import time class ComReaderThread(threading.Thread): ''' Creates a thread that continously reads from the serial connection Puts result as a tuple (timestamp, data) in a queue ''' def __init__(self...

29.701754

74

0.517425

185

1,693

4.654054

0.443243

0.065041

0.034843

0.039489

0.044135

0

0.004916

0.399291

1,693

56

75

30.232143

0.841691

0.135854

0

0.054054

0

0.045833

0

1

0.081081

false

0

0.135135

0

0.243243

0.054054

0

null

0

null

0

1

0

db8ff673815400dfc9c26d89afa7b79ffbf19f2f

1,032

py

Python

docker/app/app.py

ganeshkumarsv/datadog-cloudfoundry-buildpack

7c622dfc7990da83e5dfa4f474878a642fd40fd3

[ "Apache-2.0" ]

5

2018-04-19T18:33:06.000Z

2021-05-13T03:19:31.000Z

docker/app/app.py

ganeshkumarsv/datadog-cloudfoundry-buildpack

7c622dfc7990da83e5dfa4f474878a642fd40fd3

[ "Apache-2.0" ]

24

2018-05-04T13:42:24.000Z

2021-12-13T12:18:53.000Z

docker/app/app.py

ganeshkumarsv/datadog-cloudfoundry-buildpack

7c622dfc7990da83e5dfa4f474878a642fd40fd3

[ "Apache-2.0" ]

14

2018-05-04T13:29:34.000Z

2022-02-22T17:41:20.000Z

from flask import Flask from datadog import statsd import logging import os # This is a small example application # It uses tracing and dogstatsd on a sample flask application log = logging.getLogger("app") app = Flask(__name__) # The app has two routes, a basic endpoint and an exception endpoint @app.route("/") d...

27.891892

83

0.670543

158

1,032

4.303797

0.455696

0.052941

0.070588

0.044118

0.135294

0

0.01199

0.19186

1,032

36

84

28.666667

0.803357

0.273256

0

0.221774

0

1

0.083333

false

0

0.166667

0

0.291667

0

null

0

null

0

1

0

db92111d1426d48f852fa3b382344c31b99bb952

2,446

py

Python

monai/networks/blocks/selfattention.py

function2-llx/MONAI

4cddaa830b61b88ec78e089bb5f21e05bb1a78f4

[ "Apache-2.0" ]

1

2022-03-16T01:18:43.000Z

monai/networks/blocks/selfattention.py

function2-llx/MONAI

4cddaa830b61b88ec78e089bb5f21e05bb1a78f4

[ "Apache-2.0" ]

null

monai/networks/blocks/selfattention.py

function2-llx/MONAI

4cddaa830b61b88ec78e089bb5f21e05bb1a78f4

[ "Apache-2.0" ]

null

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

38.825397

114

0.656582

364

2,446

4.277473

0.425824

0.057803

0.030829

0.020552

0.066795

0.035967

0

0.017149

0.237122

2,446

62

115

39.451613

0.817256

0.353639

0

0.12633

0

1

0.066667

false

0

0.133333

0

0.266667

0

null

0

null

0

1

0

db933a7c4e56e24f7c3bf21ad73b25c489317eb1

1,642

py

Python

api/tests/opentrons/commands/test_protocol_commands.py

mrakitin/opentrons

d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9

[ "Apache-2.0" ]

null

api/tests/opentrons/commands/test_protocol_commands.py

mrakitin/opentrons

d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9

[ "Apache-2.0" ]

null

api/tests/opentrons/commands/test_protocol_commands.py

mrakitin/opentrons

d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9

[ "Apache-2.0" ]

null

import pytest from opentrons.commands import protocol_commands @pytest.mark.parametrize( argnames="seconds," "minutes," "expected_seconds," "expected_minutes," "expected_text", argvalues=[ [10, 0, 10, 0, "Delaying for 0 minutes and 10.0 seconds"], ...

35.695652

77

0.596224

223

1,642

4.318386

0.219731

0.114226

0.062305

0.067497

0.485981

0.383178

0.282451

0.182762

0.066459

0

0.095477

0.272838

1,642

45

78

36.488889

0.711055

0.035932

0

0.331642

0

0.131579

1

0.052632

false

0

0.052632

0

0.105263

0

null

0

null

0

1

0

db9557d7a7cbb9a18b934e17eeb9d696dbc28b20

1,467

py

Python

tests/test_histogram_source.py

ess-dmsc/just-bin-it

8fcd03337a8a88087f25c510c589d482bdd9e4ad

[ "BSD-2-Clause" ]

null

tests/test_histogram_source.py

ess-dmsc/just-bin-it

8fcd03337a8a88087f25c510c589d482bdd9e4ad

[ "BSD-2-Clause" ]

23

2018-12-04T11:50:37.000Z

2022-03-17T11:30:39.000Z

tests/test_histogram_source.py

ess-dmsc/just-bin-it

8fcd03337a8a88087f25c510c589d482bdd9e4ad

[ "BSD-2-Clause" ]

2

2019-07-24T11:13:41.000Z

2020-08-04T18:33:22.000Z

from unittest.mock import patch import pytest from just_bin_it.endpoints.sources import HistogramSource from tests.doubles.consumer import StubConsumer TEST_MESSAGE = b"this is a byte message" INVALID_FB = b"this is an invalid fb message" class TestHistogramSource: @pytest.fixture(autouse=True) def prepare...

30.5625

87

0.69666

184

1,467

5.206522

0.380435

0.112735

0.028184

0.097077

0.34238

0.290188

0.133612

0

0.010363

0.210634

1,467

47

88

31.212766

0.816926

0

0.228571

0

0.092706

0.031357

0

0.085714

1

0.142857

false

0.028571

0.114286

0

0.285714

0

null

0

null

0

1

0

db9a10e90482e634cd4e39a1baf5cb649420edce

10,817

py

Python

bbp/comps/irikura_gen_srf.py

ZhangHCFJEA/bbp

33bd999cf8d719c49f9a904872c62f02eb5850d1

[ "BSD-3-Clause" ]

28

2017-10-31T09:16:30.000Z

2022-02-28T23:44:29.000Z

bbp/comps/irikura_gen_srf.py

ZhangHCFJEA/bbp

33bd999cf8d719c49f9a904872c62f02eb5850d1

[ "BSD-3-Clause" ]

37

2017-05-23T15:15:35.000Z

2022-02-05T09:13:18.000Z

bbp/comps/irikura_gen_srf.py

ZhangHCFJEA/bbp

33bd999cf8d719c49f9a904872c62f02eb5850d1

[ "BSD-3-Clause" ]

26

2017-09-21T17:43:33.000Z

2021-11-29T06:34:30.000Z

#!/usr/bin/env python """ Copyright 2010-2019 University Of Southern California Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by appli...

41.764479

104

0.524637

1,326

10,817

4.058069

0.217195

0.053893

0.037168

0.024531

0.383944

0.270768

0.217989

0.195131

0.117264

0

0.011504

0.373209

10,817

258

105

41.926357

0.782153

0.16622

0

0.230769

0

0.005917

0.094145

0.007948

0

1

0.011834

false

0

0.053254

0

0.071006

0.023669

0

null

0

null

0

1

0

db9c6841dad833eb81be4efbbef24d978326ad58

11,120

py

Python

core/tests/test_models.py

EthanMarrs/digit2

207569a3b7a61282a2d0bd5f354a837ad81ef55d

[ "BSD-2-Clause" ]

null

core/tests/test_models.py

EthanMarrs/digit2

207569a3b7a61282a2d0bd5f354a837ad81ef55d

[ "BSD-2-Clause" ]

null

core/tests/test_models.py

EthanMarrs/digit2

207569a3b7a61282a2d0bd5f354a837ad81ef55d

[ "BSD-2-Clause" ]

null

"""test_models.py: runs tests on the models for digit.""" import pytest from core.models import (Grade, Subject, Question, Comment, Option, Topic, Block, ...

38.082192

95

0.629496

1,199

11,120

5.633028

0.114262

0.053894

0.08854

0.090169

0.723867

0.629701

0.610453

0.56944

0.533314

0.507403

0

0.017897

0.276439

11,120

291

96

38.213058

0.821526

0.114748

0

0.596774

0

0.095967

0

0.268817

1

0.091398

false

0

0.021505

0

0.123656

0

null

0

null

0

1

0

db9da718184383db0fb17735d540dd6d59f6b655

5,830

py

Python

base/views.py

omololevy/my_portfolio

29f8892c3a6e40a9c05c85110301987005d2c5c1

[ "MIT" ]

2

2021-12-25T23:11:03.000Z

2021-12-26T07:09:35.000Z

base/views.py

omololevy/portfolio

29f8892c3a6e40a9c05c85110301987005d2c5c1

[ "MIT" ]

6

2022-01-15T15:38:36.000Z

2022-02-22T17:17:59.000Z

base/views.py

omololevy/my_portfolio

29f8892c3a6e40a9c05c85110301987005d2c5c1

[ "MIT" ]

null

from django.shortcuts import render, redirect from django.http import HttpResponse from django.contrib.auth.decorators import login_required from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger from django.core.mail import EmailMessage from django.conf import settings from django.template.loader imp...

25.911111

91

0.732247

752

5,830

5.621011

0.212766

0.0511

0.080908

0.097942

0.326473

0.242725

0.225219

0.164656

0.115448

0

0.000992

0.135849

5,830

224

92

26.026786

0.838031

0.01458

0

0.278107

0

0.132033

0.011845

0

1

0.112426

false

0.023669

0.088757

0.04142

0.366864

0

null

0

null

0

1

0

db9dc14c3ce1122987ebe56a59b8a07194d400d2

30,282

py

Python

radioLib/pastebin/pastebin.py

hephaestus9/Radio

c1560c25def211ab6354fb0aa5cc935e2851c8f0

[ "MIT" ]

1

2021-05-17T08:31:07.000Z

lib/pastebin/pastebin.py

hephaestus9/Ironworks

37be48e37f63530dd7bf82618948ef82522699a0

[ "MIT" ]

null

lib/pastebin/pastebin.py

hephaestus9/Ironworks

37be48e37f63530dd7bf82618948ef82522699a0

[ "MIT" ]

null

#!/usr/bin/env python ############################################################################# # Pastebin.py - Python 3.2 Pastebin API. # Copyright (C) 2012 Ian Havelock # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as ...

38.186633

125

0.533848

3,194

30,282

4.903256

0.192235

0.019667

0.023626

0.019411

0.552072

0.517464

0.475959

0.459421

0.440202

0.430879

0

0.020838

0.367677

30,282

792

126

38.234848

0.797055

0.478502

0

0.190202

0

0.150962

0.001584

0

1

0.023055

false

0.011527

0.005764

0

0.083573

0

null

0

null

0

1

0

dba0ab7feb9b0f1f06f733ef048e8a1aa5355e67

2,544

py

Python

app/requests.py

seron-ux/News-app

d22b256b26fb9fa2bb77658952139b9ddebb8f8c

[ "MIT" ]

1

2021-04-16T12:03:37.000Z

app/requests.py

seron-ux/News-app

d22b256b26fb9fa2bb77658952139b9ddebb8f8c

[ "MIT" ]

null

app/requests.py

seron-ux/News-app

d22b256b26fb9fa2bb77658952139b9ddebb8f8c

[ "MIT" ]

null

import urllib.request,json from .models import News import requests News = News # Getting api key api_key = None # Getting the news base url base_url = None base_url2 = None def configure_request(app): global api_key,base_url,base_url2 api_key = app.config['NEWS_API_KEY'] base_url = app.config['NEWS_API...

26.5

109

0.688286

347

2,544

4.729107

0.221902

0.113955

0.063985

0.056063

0.291286

0.248629

0

0.002033

0.226415

2,544

96

110

26.5

0.831809

0.139937

0

0.211538

0

0.091509

0

1

0.096154

false

0

0.057692

0

0.230769

0.038462

0

null

0

null

0

1

0

dba12a8374326bf93ca2bf2928409a83d003c3d7

861

py

Python

leetcode/151_reverse _words_in_a_string.py

caoxudong/code_practice

cb960cf69d67ae57b35f0691d35e15c11989e6d2

[ "MIT" ]

1

2020-06-19T11:23:46.000Z

leetcode/151_reverse _words_in_a_string.py

caoxudong/code_practice

cb960cf69d67ae57b35f0691d35e15c11989e6d2

[ "MIT" ]

null

leetcode/151_reverse _words_in_a_string.py

caoxudong/code_practice

cb960cf69d67ae57b35f0691d35e15c11989e6d2

[ "MIT" ]

null

""" Given an input string, reverse the string word by word. For example, Given s = "the sky is blue", return "blue is sky the". For C programmers: Try to solve it in-place in O(1) space. Clarification: * What constitutes a word? A sequence of non-space characters constitutes a word. * Could the inp...

28.7

86

0.680604

127

861

4.614173

0.551181

0.035836

0.054608

0.081911

0.102389

0

0.003008

0.227642

861

30

87

28.7

0.878195

0.735192

0

0.010582

0

1

0.166667

false

0

0.5

0

null

0

null

0

1

0

dba13fb4439b8ad0fa549819c5076a87665d49e6

3,540

py

Python

Day10/loops.py

azeemchaudhrry/30DaysofPython

8aa80c81967d87e4bc70254a41517d0303ca0599

[ "MIT" ]

null

Day10/loops.py

azeemchaudhrry/30DaysofPython

8aa80c81967d87e4bc70254a41517d0303ca0599

[ "MIT" ]

null

Day10/loops.py

azeemchaudhrry/30DaysofPython

8aa80c81967d87e4bc70254a41517d0303ca0599

[ "MIT" ]

null

# Day 10 Loops from countries import * # While Loop # count = 0 # while count < 5: # if count == 3: # break # print(count) # count = count + 1 # numbers = [0,2,3,4,5,6,7,8,9,10] # for number in numbers: # print(number) # language = 'Python' # for letter in language: # print(letter) # tp...

22.547771

150

0.530508

500

3,540

3.724

0.284

0.035446

0.038668

0.041353

0.298604

0.228249

0.20623

0.135338

0

0.046375

0.232486

3,540

157

151

22.547771

0.63894

0.633898

0

0.2

0

0.14616

0

1

0

false

0

0.025

0

0.025

0.275

0

null

0

null

0

1

0

dba3388df291e70cf8ca9ead3a8d7661985dbeac

10,412

py

Python

tessera-server/tessera/views_api.py

Dimas625/tessera

8e554f217220228fb8a0662fb5075cb839e9f1b1

[ "Apache-2.0" ]

379

2015-01-02T19:12:10.000Z

2016-12-05T05:41:47.000Z

tessera-server/tessera/views_api.py

Dimas625/tessera

8e554f217220228fb8a0662fb5075cb839e9f1b1

[ "Apache-2.0" ]

129

2015-01-07T04:21:05.000Z

2016-07-24T18:37:43.000Z

tessera-server/tessera/views_api.py

Dimas625/tessera

8e554f217220228fb8a0662fb5075cb839e9f1b1

[ "Apache-2.0" ]

44

2015-01-05T13:48:40.000Z

2016-11-23T07:11:41.000Z

# -*- mode:python -*- import flask import json import logging from datetime import datetime import inflection from functools import wraps from flask import request, url_for from werkzeug.exceptions import HTTPException from .client.api.model import * from . import database from . import helpers from .application imp...

34.25

104

0.634364

1,171

10,412

5.473954

0.186166

0.071763

0.025741

0.034321

0.350078

0.237442

0.200312

0.164899

0.086895

0.045398

0

0.00469

0.201402

10,412

303

105

34.363036

0.766206

0.226373

0

0.145833

0

0.100114

0.03316

0

0.0033

0

1

0.119792

false

0

0.078125

0.005208

0.333333

0.005208

0

null

0

null

0

1

0

dba3bf31e30dbc6e19d1f005b15ec72aaafc1178

4,175

py

Python

modules/aws_service.py

Darkcybe/attack_range

b135251cc40e527e78e6e826759e421fb3834577

[ "Apache-2.0" ]

1

2020-08-26T18:14:17.000Z

modules/aws_service.py

Darkcybe/attack_range

b135251cc40e527e78e6e826759e421fb3834577

[ "Apache-2.0" ]

null

modules/aws_service.py

Darkcybe/attack_range

b135251cc40e527e78e6e826759e421fb3834577

[ "Apache-2.0" ]

null

import sys import re import boto3 from botocore.exceptions import ClientError import uuid import time import yaml import os def get_instance_by_name(ec2_name, config): instances = get_all_instances(config) for instance in instances: str = instance['Tags'][0]['Value'] if str == ec2_name: ...

36.946903

159

0.640958

498

4,175

5.144578

0.208835

0.021858

0.025371

0.035129

0.546058

0.460968

0.459407

0.382904

0.282982

0.248634

0

0.015858

0.229701

4,175

112

160

37.276786

0.780784

0.177725

0

0.265823

0

0.162281

0.007895

0

1

0.101266

false

0

0.101266

0

0.265823

0

null

0

null

0

1

0

dba4148e040528b537c6483d7f1281dc550a6268

5,685

py

Python

pystacknet/metrics.py

KevinMichaelSchindler/pystacknet

bb723511787be6a0828d2ec5ef141fa76b80ef84

[ "MIT" ]

null

pystacknet/metrics.py

KevinMichaelSchindler/pystacknet

bb723511787be6a0828d2ec5ef141fa76b80ef84

[ "MIT" ]

null

pystacknet/metrics.py

KevinMichaelSchindler/pystacknet

bb723511787be6a0828d2ec5ef141fa76b80ef84

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Aug 31 18:33:58 2018 @author: Marios Michailidis metrics and method to check metrics used within StackNet """ from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score , mean_squared_log_error #regression metrics from sklearn.metrics import roc_auc_sco...

36.210191

140

0.628672

786

5,685

4.301527

0.150127

0.166815

0.049689

0.0769

0.664596

0.65454

0.638864

0.631174

0.554274

0.529429

0

0.016529

0.255057

5,685

157

141

36.210191

0.781818

0.045207

0

0.407767

0

0.092986

0

1

0.126214

false

0

0.029126

0.087379

0.398058

0

null

0

null

0

1

0

dba7508f72db5159de10c2533d780968df627768

5,629

py

Python

check_logstash_pipeline.py

stdevel/nagios-plugins

5ea0e186fa6fdd0e70681c7fed02c6d46d50bbb5

[ "IBM-pibs", "Apache-1.1" ]

null

check_logstash_pipeline.py

stdevel/nagios-plugins

5ea0e186fa6fdd0e70681c7fed02c6d46d50bbb5

[ "IBM-pibs", "Apache-1.1" ]

null

check_logstash_pipeline.py

stdevel/nagios-plugins

5ea0e186fa6fdd0e70681c7fed02c6d46d50bbb5

[ "IBM-pibs", "Apache-1.1" ]

null

#!/usr/bin/env python # coding=utf-8 # vim:ts=4:sts=4:sw=4:et # # Author: Hari Sekhon # Date: 2017-11-24 21:10:35 +0100 (Fri, 24 Nov 2017) # # https://github.com/harisekhon/nagios-plugins # # License: see accompanying Hari Sekhon LICENSE file # # If you're using my code you're welcome to connect with me on Linke...

39.921986

119

0.637413

728

5,629

4.767857

0.325549

0.02881

0.043215

0.057044

0.086142

0.031691

0.019591

0

0.019034

0.253331

5,629

140

120

40.207143

0.806805

0.239119

0

0.068966

0

0.240819

0.030367

0

1

0.045977

false

0

0.126437

0

0.183908

0.045977

0

null

0

null

0

1

0