xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

f9b9db4cb53b402b62374ae430392b63169f78ec

137

py

Python

Chapter 08/ch8_1.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 08/ch8_1.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 08/ch8_1.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

mywords = ['Krishna', 'Rameshwar Dass', 'Usha', 'Ramesh'] for w in mywords: print(w, end='') #Krishna Rameshwar Dass Usha Ramesh

27.4

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0.649635

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137

4.944444

0.611111

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0.449438

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0.189781

137

5

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27.4

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0

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1

0

1

0

null

0

5

f9baf7eda1c8acf5bf0b18490261ed74ea339eb3

350

py

Python

apex/interfaces.py

timgates42/apex

019b163722731978848efb29436c038a700be589

[ "MIT" ]

null

apex/interfaces.py

timgates42/apex

019b163722731978848efb29436c038a700be589

[ "MIT" ]

null

apex/interfaces.py

timgates42/apex

019b163722731978848efb29436c038a700be589

[ "MIT" ]

null

from zope.interface import implements from zope.interface import Interface class IApex(Interface): """ Class so that we can tell if Apex is installed from other applications """ pass class ApexImplementation(object): """ Class so that we can tell if Apex is installed from other applications """ implements(IApex)

23.333333

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350

5.511111

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0

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14

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25

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true

0.166667

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null

0

1

0

null

0

1

0

1

0

5

ddc061ebdabe5feb0d00d670bc96625645aefa9d

43

py

Python

chapter3/ding.py

chavo1/playground-python

558ba5515cb01b3fdb8123a1df7c6abc0ef6fa20

[ "MIT" ]

null

chapter3/ding.py

chavo1/playground-python

558ba5515cb01b3fdb8123a1df7c6abc0ef6fa20

[ "MIT" ]

null

chapter3/ding.py

chavo1/playground-python

558ba5515cb01b3fdb8123a1df7c6abc0ef6fa20

[ "MIT" ]

null

import snaps snaps.play_sound('ding.wav')

10.75

28

0.767442

7

43

4.571429

0.857143

0

0.093023

43

3

29

14.333333

0.820513

0

0.186047

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dddccf902c6bded1454a46072c10058c0c95aa60

361

py

Python

mlctl/interfaces/Hosting.py

LaudateCorpus1/mlctl

0a42035ce9c4999e1b3565ba41fe69d6d3552273

[ "Apache-2.0" ]

24

2021-06-25T04:31:10.000Z

2022-01-12T12:53:42.000Z

mlctl/interfaces/Hosting.py

srivathsanvc/mlctl

0a42035ce9c4999e1b3565ba41fe69d6d3552273

[ "Apache-2.0" ]

14

2021-06-25T04:46:43.000Z

2021-08-19T00:01:42.000Z

mlctl/interfaces/Hosting.py

LaudateCorpus1/mlctl

0a42035ce9c4999e1b3565ba41fe69d6d3552273

[ "Apache-2.0" ]

8

2021-07-16T18:14:17.000Z

2022-02-24T08:05:39.000Z

from abc import ABC, abstractmethod class Hosting(ABC): @abstractmethod def create(self, model_config): pass @abstractmethod def deploy(self, endpoint_name, config): pass @abstractmethod def undeploy(self, endpoint_name): pass @abstractmethod def get_endpoint_info(self, endpoint_name): pass

18.05

47

0.66205

39

361

5.974359

0.461538

0.291845

0.270386

0.23176

0

0.268698

361

19

48

19

0.882576

0

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1

0.285714

false

0.285714

0.071429

0

0.428571

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null

1

0

null

0

1

0

1

0

5

fb1df0ebcb865bca7141b3ee8f232c1ce5a7dafe

45

py

Python

app/__main__.py

bennydictor/httptool

91684575794c7199587a509fcb17543f9942cfbb

[ "MIT" ]

null

app/__main__.py

bennydictor/httptool

91684575794c7199587a509fcb17543f9942cfbb

[ "MIT" ]

null

app/__main__.py

bennydictor/httptool

91684575794c7199587a509fcb17543f9942cfbb

[ "MIT" ]

null

from . import application application.run()

11.25

25

0.777778

5

45

7

0.8

0

0.133333

45

3

26

15

0.897436

0

1

0

true

0

0.5

0

0.5

0

1

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null

0

1

0

null

0

1

0

1

0

5

fb24d9ab8ed699b2397b0d1a277425409fb50d33

680

py

Python

vagrant_manager/helpers/vagrant.py

vgrt/vagrant-manager

c1211bc0442a9eb6d120eb00c1c56939813fb5f0

[ "MIT" ]

null

vagrant_manager/helpers/vagrant.py

vgrt/vagrant-manager

c1211bc0442a9eb6d120eb00c1c56939813fb5f0

[ "MIT" ]

null

vagrant_manager/helpers/vagrant.py

vgrt/vagrant-manager

c1211bc0442a9eb6d120eb00c1c56939813fb5f0

[ "MIT" ]

null

# -*- coding: utf-8 -*- vagrant = 'vagrant' def up(): return '{} up'.format(vagrant) def ssh(): return '{} ssh'.format(vagrant) def suspend(): return '{} suspend'.format(vagrant) def status(): return '{} status'.format(vagrant) def halt(): return '{} halt'.format(vagrant) def destroy(force=False): options = '' if force: options += '--force' return '{} destroy {}'.format(vagrant, options) def share(**kwargs): options = '' name = kwargs.get('name') if name: options += '--name {}'.format(name) if options != '': options = ' ' + options return '{} share{}'.format(vagrant, options)

14.468085

51

0.552941

72

680

5.222222

0.291667

0.242021

0.212766

0

0.001972

0.254412

680

46

52

14.782609

0.739645

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0.291667

false

0

0.208333

0.583333

0

null

1

0

null

0

1

0

1

0

5

fb3dc5190d18182b66660d69490096fe30f8822d

2,905

py

Python

rest_api/migrations/0037_auto_20210226_1502.py

InspectorIncognito/gtfs-editor

4e3245f44ec44aeb2d28aa25786dc95a3193fb81

[ "MIT" ]

2

2021-10-01T16:11:20.000Z

2022-01-15T10:55:40.000Z

rest_api/migrations/0037_auto_20210226_1502.py

InspectorIncognito/gtfs-editor

4e3245f44ec44aeb2d28aa25786dc95a3193fb81

[ "MIT" ]

3

2021-06-10T19:17:55.000Z

2022-03-05T08:37:46.000Z

rest_api/migrations/0037_auto_20210226_1502.py

InspectorIncognito/gtfs-editor

4e3245f44ec44aeb2d28aa25786dc95a3193fb81

[ "MIT" ]

1

2022-03-05T08:37:53.000Z

# Generated by Django 3.1.3 on 2021-02-26 18:02 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('rest_api', '0036_auto_20210226_1122'), ] operations = [ migrations.AlterField( model_name='fareattribute', name='agency', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.agency'), ), migrations.AlterField( model_name='farerule', name='fare_attribute', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.fareattribute'), ), migrations.AlterField( model_name='frequency', name='trip', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.trip'), ), migrations.AlterField( model_name='pathway', name='from_stop', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stop_from', to='rest_api.stop'), ), migrations.AlterField( model_name='pathway', name='to_stop', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stop_to', to='rest_api.stop'), ), migrations.AlterField( model_name='route', name='agency', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.agency'), ), migrations.AlterField( model_name='stoptime', name='stop', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.stop'), ), migrations.AlterField( model_name='stoptime', name='trip', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stop_times', to='rest_api.trip'), ), migrations.AlterField( model_name='transfer', name='from_stop', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='from_stop', to='rest_api.stop'), ), migrations.AlterField( model_name='transfer', name='to_stop', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='to_stop', to='rest_api.stop'), ), migrations.AlterField( model_name='trip', name='route', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='rest_api.route'), ), migrations.AlterField( model_name='trip', name='shape', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='rest_api.shape'), ), ]

38.733333

128

0.60895

316

2,905

5.424051

0.164557

0.065344

0.106184

0.166861

0.78063

0.725204

0.613186

0.55951

0

0.014445

0.261274

2,905

74

129

39.256757

0.78425

0.015491

0

0.617647

1

0

0.144507

0.015745

0

1

0

false

0

0.029412

0

0.073529

0

null

0

1

0

1

0

1

0

null

0

5

34bb3e107368cd15741c23f195534bf97095a4c4

53

py

Python

arnold_wrapper/util/__init__.py

gr4ph0s/C4DToA_python_wrapper

d1930839b325b301002539779c07577a1d2ae542

[ "MIT" ]

5

2017-12-11T22:38:18.000Z

2021-05-22T09:42:03.000Z

arnold_wrapper/util/__init__.py

gr4ph0s/C4DToA_python_wrapper

d1930839b325b301002539779c07577a1d2ae542

[ "MIT" ]

null

arnold_wrapper/util/__init__.py

gr4ph0s/C4DToA_python_wrapper

d1930839b325b301002539779c07577a1d2ae542

[ "MIT" ]

null

from .Const import Const from .Utility import Utility

26.5

28

0.830189

8

53

5.5

0.5

0

0.132075

53

2

28

26.5

0.956522

0

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34c5a87cadcca6a77f588f1b15074e25e12ae353

140

py

Python

inspector/admin.py

maexe/linspector-web

d5a695445164df31ee69362ffdfb5ca924d054f6

[ "Apache-2.0" ]

5

2019-10-19T03:10:02.000Z

2022-01-19T13:43:14.000Z

inspector/admin.py

maexe/linspector-server

d5a695445164df31ee69362ffdfb5ca924d054f6

[ "Apache-2.0" ]

9

2019-11-11T14:28:45.000Z

2022-02-10T08:43:48.000Z

inspector/admin.py

maexe/linspector-web

d5a695445164df31ee69362ffdfb5ca924d054f6

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Language, ProbingTask admin.site.register(Language) admin.site.register(ProbingTask)

20

41

0.828571

18

140

6.444444

0.555556

0.155172

0.293103

0

0.092857

140

6

42

23.333333

0.913386

0

1

0

true

0

0.5

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0.5

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1

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null

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0

1

0

null

0

1

0

1

0

5

9b2ea1c68a66640c897c11662a6c2e2552eafd1f

209

py

Python

mlrtvc/src/core/encoder/data_objects/__init__.py

rushic24/Multi-Language-RTVC

f61f79ea119d10c876bd69b825f5cb84c9b66ac8

[ "MIT" ]

9

2021-12-19T07:41:49.000Z

2022-01-28T17:16:32.000Z

mlrtvc/src/core/encoder/data_objects/__init__.py

rushic24/Multi-Language-RTVC

f61f79ea119d10c876bd69b825f5cb84c9b66ac8

[ "MIT" ]

13

2021-12-17T18:57:39.000Z

2022-03-04T12:22:46.000Z

mlrtvc/src/core/encoder/data_objects/__init__.py

rushic24/Multi-Language-RTVC

f61f79ea119d10c876bd69b825f5cb84c9b66ac8

[ "MIT" ]

3

2021-12-21T23:52:55.000Z

2022-01-06T23:08:34.000Z

from core.encoder.data_objects.speaker_verification_dataset import ( SpeakerVerificationDataset, ) from core.encoder.data_objects.speaker_verification_dataset import ( SpeakerVerificationDataLoader, )

29.857143

68

0.84689

20

209

8.55

0.55

0.093567

0.175439

0.222222

0.678363

0

0.095694

209

6

69

34.833333

0.904762

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0.333333

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1

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true

0

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0.333333

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1

0

null

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1

0

null

0

1

0

1

0

5

9b3fbd74caf9ea4c32aaeede9724570e0b7dfcff

36

py

Python

app/datasources/__init__.py

DataScienceHobbyGroup/nacho-b

e4cfc62f2daa45cb939bb544491cdb1c1a7294ef

[ "MIT" ]

null

app/datasources/__init__.py

DataScienceHobbyGroup/nacho-b

e4cfc62f2daa45cb939bb544491cdb1c1a7294ef

[ "MIT" ]

1

2021-04-30T22:09:21.000Z

app/datasources/__init__.py

DataScienceHobbyGroup/nacho-b

e4cfc62f2daa45cb939bb544491cdb1c1a7294ef

[ "MIT" ]

null

"""Init file for modularisation."""

18

35

0.694444

4

36

6.25

1

0

0.111111

36

1

36

0.78125

0.805556

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

9b5986bd365af43f3bd6de09eeee4e61560515df

138

py

Python

zeus/modules/operators/quant/__init__.py

shaido987/vega

14d5d49fb8bdf96bd1f3fcfac201ce6b6712c3b6

[ "MIT" ]

240

2020-08-15T15:11:49.000Z

2022-03-28T07:26:23.000Z

zeus/modules/operators/quant/__init__.py

WholeG/vega

d1ccf1c3ce68a118bdb6775594ceed0f895911e7

[ "MIT" ]

20

2020-08-29T06:18:21.000Z

2022-03-21T04:35:57.000Z

zeus/modules/operators/quant/__init__.py

WholeG/vega

d1ccf1c3ce68a118bdb6775594ceed0f895911e7

[ "MIT" ]

69

2020-08-15T15:41:53.000Z

2022-03-16T08:27:47.000Z

import zeus if zeus.is_tf_backend(): from .tensorflow_quant import * elif zeus.is_torch_backend(): from .pytorch_quant import *

17.25

35

0.73913

20

138

4.8

0.6

0.125

0

0.173913

138

7

36

19.714286

0.842105

0

1

0

true

0

0.6

0

0.6

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1

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null

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1

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null

0

1

0

1

0

1

0

5

9b6e9916bcfc3cca161640160dd6c8fa6fe4c87c

19

py

Python

WH_Utils/Analytics/Prospects/__init__.py

McClain-Thiel/WH_Utils

f81432f57a5a8ed582ddb76f8f11353b3e1ea8bd

[ "Apache-2.0" ]

1

2022-03-28T08:56:24.000Z

WH_Utils/Analytics/Prospects/__init__.py

McClain-Thiel/WH_Utils

f81432f57a5a8ed582ddb76f8f11353b3e1ea8bd

[ "Apache-2.0" ]

null

WH_Utils/Analytics/Prospects/__init__.py

McClain-Thiel/WH_Utils

f81432f57a5a8ed582ddb76f8f11353b3e1ea8bd

[ "Apache-2.0" ]

null

from .API import *

9.5

18

0.684211

3

19

4.333333

1

0

0.210526

19

1

19

0.866667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9b81a5f7010d934c4e02dafb9065cc3f7c772073

94

py

Python

models/__init__.py

hanq0212/IB-GAN

30d7f6e685def9fcf0754edcc63a1ac6e7344638

[ "MIT" ]

3

2021-08-22T06:37:06.000Z

2022-03-30T02:41:01.000Z

models/__init__.py

hanq0212/IB-GAN

30d7f6e685def9fcf0754edcc63a1ac6e7344638

[ "MIT" ]

null

models/__init__.py

hanq0212/IB-GAN

30d7f6e685def9fcf0754edcc63a1ac6e7344638

[ "MIT" ]

null

from .base import * from .utils import * from .discriminator import * from .generator import *

23.5

28

0.755319

12

94

5.916667

0.5

0.422535

0

0.159574

94

4

29

23.5

0.898734

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

9b853d3304bd95650cc9a61b6a947d3c1d0be1db

37

py

Python

Uncategorized/python2.py

crackersamdjam/DMOJ-Solutions

97992566595e2c7bf41b5da9217d8ef61bdd1d71

[ "MIT" ]

null

Uncategorized/python2.py

crackersamdjam/DMOJ-Solutions

97992566595e2c7bf41b5da9217d8ef61bdd1d71

[ "MIT" ]

null

Uncategorized/python2.py

crackersamdjam/DMOJ-Solutions

97992566595e2c7bf41b5da9217d8ef61bdd1d71

[ "MIT" ]

null

print(x.__closure__[0].cell_contents)

37

0.837838

6

37

4.333333

1

0

0.027027

0

37

1

37

0.675676

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9ba6fec9d1a52b1a9f73c3a187176dcc3e202302

146

py

Python

lab_assignment/lab_exception/assert.py

caru1613/introduction_to_python_TEAMLAB_MOOC

e0ac95f7a6b889e7d18b7bdaaab49820e73d5477

[ "MIT" ]

null

lab_assignment/lab_exception/assert.py

caru1613/introduction_to_python_TEAMLAB_MOOC

e0ac95f7a6b889e7d18b7bdaaab49820e73d5477

[ "MIT" ]

null

lab_assignment/lab_exception/assert.py

caru1613/introduction_to_python_TEAMLAB_MOOC

e0ac95f7a6b889e7d18b7bdaaab49820e73d5477

[ "MIT" ]

null

def get_binary_nmubmer(decimal_number): assert isinstance(decimal_number, int) return bin(decimal_number) print(get_binary_nmubmer(10.5))

29.2

42

0.80137

21

146

5.238095

0.666667

0.354545

0.290909

0

0.023077

0.109589

146

5

43

29.2

0.823077

0

0.25

1

0.25

false

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

5

9bbe59ff9854c9e2eb94d5f1bfec92b3dd490ed9

78

py

Python

DevOlogy/frontend/views.py

Python-Freak/DevOlogy

94bd21cecce956bb6b9d344eaf903c7519f13116

[ "MIT" ]

1

2021-11-02T13:37:32.000Z

DevOlogy/frontend/views.py

Python-Freak/DevOlogy

94bd21cecce956bb6b9d344eaf903c7519f13116

[ "MIT" ]

null

DevOlogy/frontend/views.py

Python-Freak/DevOlogy

94bd21cecce956bb6b9d344eaf903c7519f13116

[ "MIT" ]

null

from django.shortcuts import render, redirect # Create your views here.

8.666667

45

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32fa8429347462321eb80123c4c3ea6f17ca2d16

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py

Python

pytorch_tools/segmentation_models/__init__.py

YevheniiSemendiak/pytorch-tools

11f895ac7af796ca786a3d94bb46de70d7fce87a

[ "MIT" ]

155

2019-11-06T14:05:32.000Z

2022-03-24T11:12:19.000Z

pytorch_tools/segmentation_models/__init__.py

YevheniiSemendiak/pytorch-tools

11f895ac7af796ca786a3d94bb46de70d7fce87a

[ "MIT" ]

41

2019-11-01T21:41:51.000Z

2021-07-19T12:53:39.000Z

pytorch_tools/segmentation_models/__init__.py

YevheniiSemendiak/pytorch-tools

11f895ac7af796ca786a3d94bb46de70d7fce87a

[ "MIT" ]

15

2019-12-07T19:09:18.000Z

2021-09-27T19:17:55.000Z

from .unet import Unet from .linknet import Linknet from .deeplabv3_plus import DeepLabV3 from .segm_fpn import SegmentationFPN from .segm_bifpn import SegmentationBiFPN from .hrnet import HRNet

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fd2d17a53ad0b5b25a88a66aba9ed96fcd4d203f

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py

Python

evolocity/pp.py

samsledje/evolocity

2b162ff61d4239ba5af06a601e5bb62f501d4a0f

[ "MIT" ]

25

2021-06-03T22:51:24.000Z

2022-03-18T09:38:42.000Z

evolocity/pp.py

samsledje/evolocity

2b162ff61d4239ba5af06a601e5bb62f501d4a0f

[ "MIT" ]

7

2021-07-11T17:20:24.000Z

2022-03-17T02:31:13.000Z

evolocity/pp.py

samsledje/evolocity

2b162ff61d4239ba5af06a601e5bb62f501d4a0f

[ "MIT" ]

5

2021-06-08T18:39:14.000Z

2022-03-11T12:55:33.000Z

from evolocity.preprocessing import *

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b5bbfea32382d4b3bb84b51ac14db7ee7e23bfb8

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py

Python

ojos/decorator/__init__.py

ojos/python-core

d43f99d31c99493f0966ba7020bdc40f2dc2ed2e

[ "MIT" ]

null

ojos/decorator/__init__.py

ojos/python-core

d43f99d31c99493f0966ba7020bdc40f2dc2ed2e

[ "MIT" ]

null

ojos/decorator/__init__.py

ojos/python-core

d43f99d31c99493f0966ba7020bdc40f2dc2ed2e

[ "MIT" ]

null

from .logging import logging from .retry import retry, retry_handler __all__ = [ 'logging', 'retry', 'retry_handler', ]

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null

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5

bd3563acf470c5172e22d829b0f2bd228266cfc6

102

py

Python

unet3d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

1

2018-12-06T09:17:26.000Z

unet3d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

null

unet3d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

2

2019-05-07T10:07:33.000Z

2019-05-20T12:50:37.000Z

from .unet import unet_model_3d from .isensee3d import isensee2017_model from .segnet import segnet3d

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bd38fe7486d7ac37695d5ea2e3e790bf6bf40126

798

py

Python

aiotdlib/api/functions/get_password_state.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

37

2021-05-04T10:41:41.000Z

2022-03-30T13:48:05.000Z

aiotdlib/api/functions/get_password_state.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

13

2021-07-17T19:54:51.000Z

2022-02-26T06:50:00.000Z

aiotdlib/api/functions/get_password_state.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

7

2021-09-22T21:27:11.000Z

2022-02-20T02:33:19.000Z

# =============================================================================== # # # # This file has been generated automatically!! Do not change this manually! # # # # =============================================================================== # from __future__ import annotations from pydantic import Field from ..base_object import BaseObject class GetPasswordState(BaseObject): """ Returns the current state of 2-step verification """ ID: str = Field("getPasswordState", alias="@type") @staticmethod def read(q: dict) -> GetPasswordState: return GetPasswordState.construct(**q)

33.25

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null

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1fe344f2b14a4b0b1ff80ef42413908666f40fac

181

py

Python

infra_validation_engine/utils/constants.py

boris-vasilev/simple_grid_infra_validation_engine

66a1410ca42718d559fd12e1e99dbcbc64457645

[ "Apache-2.0" ]

null

infra_validation_engine/utils/constants.py

boris-vasilev/simple_grid_infra_validation_engine

66a1410ca42718d559fd12e1e99dbcbc64457645

[ "Apache-2.0" ]

null

infra_validation_engine/utils/constants.py

boris-vasilev/simple_grid_infra_validation_engine

66a1410ca42718d559fd12e1e99dbcbc64457645

[ "Apache-2.0" ]

null

class Constants: def __init__(self): pass SIMPLE_CONFIG_DIR = "/etc/simple_grid" GIT_PKG_NAME = "git" DOCKER_PKG_NAME = "docker" BOLT_PKG_NAME = "bolt"

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9507d37a2e0fcf57f6bec30b5fc0f27cec02aa4e

2,296

py

Python

sandbox/plot/powerspectrum-flash.py

jmark/turbubox

17fd3214ad4cb0c360bdb628d7bd270e8b00aadc

[ "MIT" ]

null

sandbox/plot/powerspectrum-flash.py

jmark/turbubox

17fd3214ad4cb0c360bdb628d7bd270e8b00aadc

[ "MIT" ]

null

sandbox/plot/powerspectrum-flash.py

jmark/turbubox

17fd3214ad4cb0c360bdb628d7bd270e8b00aadc

[ "MIT" ]

null

#!/usr/bin/env python3 from matplotlib import pylab as plt from mpl_toolkits.mplot3d import axes3d import sys import numpy as np from numpy.fft import rfftn, fftshift import flash as FLASH from shellavg import shell_avg_3d import ulz sys.argv.reverse() progpath = sys.argv.pop() flsfp = sys.argv.pop() flsfp2 = sys.argv.pop() sinkfp = sys.argv.pop() flash = FLASH.File(flsfp) time = flash.realscalars['time'] #step = flash.integerscalars['nstep'] c_s = flash.realruntime['c_ambient'] rho0 = flash.realruntime['rho_ambient'] # c_s = flash.realruntime['sim_cambient'] # rho0 = flash.realruntime['sim_rhoambient'] Vgrid = np.prod(flash.gridsize) Vcell = np.prod(flash.cellsize) Vdomain = np.prod(flash.domainsize) density = flash.data('dens') velocity = tuple(flash.data('vel'+dim) for dim in 'x y z'.split()) #ekin = 0.5*Vcell*density * ulz.norm(*velocity) #fekin = fftshift(np.abs(rfftn(ekin))) #input = density**(1/3) * np.sqrt(ulz.norm(*velocity)) input = np.sqrt(ulz.norm(*velocity)) #vels = ulz.norm(*velocity) fvels = fftshift(np.abs(rfftn(input))) nsamples = 200 radii,totals = shell_avg_3d(fvels**2, nsamples) rs = radii[1:] ps = rs**2 * totals[1:] plt.grid() plt.xlim(1,1000) xs = rs ys = ps/rs**(-5/3) plt.loglog(xs,ys, '-', label='b3') ######################### flash = FLASH.File(flsfp2) time = flash.realscalars['time'] #step = flash.integerscalars['nstep'] c_s = flash.realruntime['c_ambient'] rho0 = flash.realruntime['rho_ambient'] # c_s = flash.realruntime['sim_cambient'] # rho0 = flash.realruntime['sim_rhoambient'] Vgrid = np.prod(flash.gridsize) Vcell = np.prod(flash.cellsize) Vdomain = np.prod(flash.domainsize) density = flash.data('dens') velocity = tuple(flash.data('vel'+dim) for dim in 'x y z'.split()) #ekin = 0.5*Vcell*density * ulz.norm(*velocity) #fekin = fftshift(np.abs(rfftn(ekin))) #input = density**(1/3) * np.sqrt(ulz.norm(*velocity)) input = np.sqrt(ulz.norm(*velocity)) #vels = ulz.norm(*velocity) fvels = fftshift(np.abs(rfftn(input))) nsamples = 200 radii,totals = shell_avg_3d(fvels**2, nsamples) rs = radii[1:] ps = rs**2 * totals[1:] ######################### xs = rs ys = ps/rs**(-2) plt.loglog(xs,ys, '-', label='b5') plt.legend(loc='upper right') plt.savefig(sinkfp,bbox_inches='tight')

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950f92628f668d489a806d8dd9fc22fff587fd31

4,087

py

Python

build/lib/BAARFormatConverter/converter.py

xuzhaoyu/BAARFormatConverter

8e479a076a098b88cdb7c2c13927f370a3f8568b

[ "MIT" ]

1

2021-06-04T09:36:45.000Z

src/BAARFormatConverter/converter.py

xuzhaoyu/BAARFormatConverter

8e479a076a098b88cdb7c2c13927f370a3f8568b

[ "MIT" ]

null

src/BAARFormatConverter/converter.py

xuzhaoyu/BAARFormatConverter

8e479a076a098b88cdb7c2c13927f370a3f8568b

[ "MIT" ]

null

def read_convert(input: str) -> list: dict_list = [] input = input.split("__::__") for lines in input: line_dict = {} line = lines.split("__$$__") for l in line: dict_value = l.split("__=__") key = dict_value[0] if len(dict_value) == 1: value = "" else: value = dict_value[1] line_dict[key] = value dict_list.append(line_dict) return dict_list def write_convert(input: list) -> str: output_str = "" for dicts in input: for key, value in dicts.items(): output_str = output_str + key + "__=__" + value output_str = output_str + "__$$__" output_str = output_str[:len(output_str) - 6] output_str = output_str + "__::__" output_str = output_str[:len(output_str) - 6] return output_str if __name__ == "__main__": loans = "Processor__=____$$__Loan_Number__=__2501507794__$$__Underwriter__=____$$__Borrower__=__CREDCO,BARRY__$$__Purpose__=__Construction/Perm__$$__Loan_Type__=__Conventional-Conf__$$__Est_Closing_Date__=__2020-09-25 00:00:00__$$__Program__=__One Close Construction Conf__$$__processor_manager__=__No contact selected__$$__underwriter_manager__=__No contact selected__$$__e_consent__=____$$__processor_note__=____$$__investor_category__=__PPB__$$__risk_level__=__3__$$__sample_status__=____$$__rush_status__=____$$__type__=__New__$$__sampled_date__=__2021-03-25 12:21:58.0__$$__update_date__=__2021-03-25 12:21:58.0__$$____::__Processor__=__Carmen Medrano__$$__Loan_Number__=__2501666460__$$__Underwriter__=__Erica Lopes__$$__Borrower__=__Credco,Barry__$$__Purpose__=__Purchase__$$__Loan_Type__=__Conventional-Conf__$$__Est_Closing_Date__=__2021-03-29 00:00:00__$$__Program__=__Conf__$$__processor_manager__=__No contact selected__$$__underwriter_manager__=__Joy Swift-Greiff__$$__e_consent__=____$$__processor_note__=____$$__investor_category__=__PCB__$$__risk_level__=__1__$$__sample_status__=____$$__rush_status__=____$$__type__=__New__$$__sampled_date__=__2021-03-25 12:21:58.0__$$__update_date__=__2021-03-25 12:21:58.0__::__Processor__=____$$__Loan_Number__=__2501679729__$$__Underwriter__=____$$__Borrower__=__Credco,Barry__$$__Purpose__=__Refinance__$$__Loan_Type__=__Conventional-Conf__$$__Est_Closing_Date__=__2021-04-24 00:00:00__$$__Program__=__BMO Harris ReadyLine Conf__$$__processor_manager__=__No contact selected__$$__underwriter_manager__=__No contact selected__$$__e_consent__=____$$__processor_note__=____$$__investor_category__=__SMU__$$__risk_level__=__1__$$__sample_status__=____$$__rush_status__=____$$__type__=__New__$$__sampled_date__=__2021-03-25 12:21:58.0__$$__update_date__=__2021-03-25 12:21:58.0__::__Processor__=____$$__Loan_Number__=__2501682907__$$__Underwriter__=____$$__Borrower__=__Firstimer,Alice__$$__Purpose__=__Purchase__$$__Loan_Type__=__Conventional-Conf__$$__Est_Closing_Date__=__2021-05-01 00:00:00__$$__Program__=__BMO Harris ReadyLine Conf__$$__processor_manager__=__No contact selected__$$__underwriter_manager__=__No contact selected__$$__e_consent__=____$$__processor_note__=____$$__investor_category__=__PCB__$$__risk_level__=__1__$$__sample_status__=____$$__rush_status__=____$$__type__=__New__$$__sampled_date__=__2021-03-25 12:21:58.0__$$__update_date__=__2021-03-25 12:21:58.0__::__Processor__=__Carmen Medrano__$$__Loan_Number__=__2501682635__$$__Underwriter__=____$$__Borrower__=__Credco,Barry__$$__Purpose__=__Purchase__$$__Loan_Type__=__Conventional-Conf__$$__Est_Closing_Date__=__2021-04-30 00:00:00__$$__Program__=__Conf__$$__processor_manager__=__No contact selected__$$__underwriter_manager__=__No contact selected__$$__e_consent__=____$$__processor_note__=____$$__investor_category__=__SMU__$$__risk_level__=__1__$$__sample_status__=____$$__rush_status__=____$$__type__=__New__$$__sampled_date__=__2021-03-25 12:21:58.0__$$__update_date__=__2021-03-25 12:21:58.0" dicts = read_convert(loans) outputstr = write_convert(dicts) converted = read_convert(outputstr) print(dicts == converted)

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1f2c3a2b68515dbb833e3a571db55d1c547332a1

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py

Python

model/option_gail.py

id9502/Option-GAIL

73ee70f097e272e00e482bff8cff558370f90ab6

[ "MIT" ]

9

2021-06-09T07:13:58.000Z

2022-03-23T08:57:08.000Z

model/option_gail.py

id9502/Option-GAIL

73ee70f097e272e00e482bff8cff558370f90ab6

[ "MIT" ]

3

2021-08-11T08:56:02.000Z

2021-12-27T03:08:48.000Z

model/option_gail.py

id9502/Option-GAIL

73ee70f097e272e00e482bff8cff558370f90ab6

[ "MIT" ]

3

2021-08-12T11:19:20.000Z

2022-03-23T08:57:27.000Z

import torch import torch.nn.functional as F from .option_policy import OptionPolicy, Policy, MoEPolicy from .option_discriminator import OptionDiscriminator, Discriminator, MoEDiscriminator from utils.config import Config class GAIL(torch.nn.Module): def __init__(self, config: Config, dim_s=2, dim_a=2): super(GAIL, self).__init__() self.dim_a = dim_a self.dim_s = dim_s self.device = torch.device(config.device) self.mini_bs = config.mini_batch_size lr = config.optimizer_lr_discriminator self.discriminator = Discriminator(config, dim_s=dim_s, dim_a=dim_a) self.policy = Policy(config, dim_s=self.dim_s, dim_a=self.dim_a) self.optim = torch.optim.Adam(self.discriminator.parameters(), lr=lr, weight_decay=1.e-3) self.to(self.device) def gail_reward(self, s, a): d = self.discriminator.get_unnormed_d(s, a) reward = -F.logsigmoid(d) return reward def step_original_gan(self, sample_sar, demo_sar, n_step=10): sp = torch.cat([s for s, a, r in sample_sar], dim=0) se = torch.cat([s for s, a, r in demo_sar], dim=0) ap = torch.cat([a for s, a, r in sample_sar], dim=0) ae = torch.cat([a for s, a, r in demo_sar], dim=0) tp = torch.ones(self.mini_bs, 1, dtype=torch.float32, device=self.device) te = torch.zeros(self.mini_bs, 1, dtype=torch.float32, device=self.device) for _ in range(n_step): inds = torch.randperm(sp.size(0), device=self.device) for ind_p in inds.split(self.mini_bs): sp_b, ap_b, tp_b = sp[ind_p], ap[ind_p], tp[:ind_p.size(0)] ind_e = torch.randperm(se.size(0), device=self.device)[:ind_p.size(0)] se_b, ae_b, te_b = se[ind_e], ae[ind_e], te[:ind_p.size(0)] s_array = torch.cat((sp_b, se_b), dim=0) a_array = torch.cat((ap_b, ae_b), dim=0) t_array = torch.cat((tp_b, te_b), dim=0) for _ in range(3): src = self.discriminator.get_unnormed_d(s_array, a_array) loss = F.binary_cross_entropy_with_logits(src, t_array) self.optim.zero_grad() loss.backward() self.optim.step() def step_wgail_gp(self, sample_sar, demo_sar, n_step=10): sp = torch.cat([s for s, a, r in sample_sar], dim=0) se = torch.cat([s for s, a, r in demo_sar], dim=0) ap = torch.cat([a for s, a, r in sample_sar], dim=0) ae = torch.cat([a for s, a, r in demo_sar], dim=0) for _ in range(n_step): inds = torch.randperm(sp.size(0), device=self.device) for ind_p in inds.split(self.mini_bs): sp_b, ap_b = sp[ind_p], ap[ind_p] ind_e = torch.randperm(se.size(0), device=self.device)[:ind_p.size(0)] se_b, ae_b = se[ind_e], ae[ind_e] for _ in range(3): Wasserstein_D = self.discriminator.get_unnormed_d(sp_b, ap_b).mean() \ - self.discriminator.get_unnormed_d(se_b, ae_b).mean() alpha = torch.rand(sp_b.size(0), 1, dtype=torch.float32, device=self.device) inter_s = alpha * se_b + (1 - alpha) * sp_b inter_a = alpha * ae_b + (1 - alpha) * ap_b gradient_penalty = self.discriminator.gradient_penalty(inter_s, inter_a) loss = Wasserstein_D + gradient_penalty self.optim.zero_grad() loss.backward() self.optim.step() def step(self, sample_sar, demo_sar, n_step=10): return self.step_original_gan(sample_sar, demo_sar, n_step) def convert_demo(self, demo_sa): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, a_array in demo_sa: r_fake_array = self.gail_reward(s_array, a_array) out_sample.append((s_array, a_array, r_fake_array)) r_sum_avg += r_fake_array.sum().item() r_sum_avg /= len(demo_sa) return out_sample, r_sum_avg def convert_sample(self, sample_sar): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, a_array, r_real_array in sample_sar: r_fake_array = self.gail_reward(s_array, a_array) out_sample.append((s_array, a_array, r_fake_array)) r_sum_avg += r_real_array.sum().item() r_sum_avg /= len(sample_sar) return out_sample, r_sum_avg class OptionGAIL(torch.nn.Module): def __init__(self, config: Config, dim_s=2, dim_a=2): super(OptionGAIL, self).__init__() self.dim_a = dim_a self.dim_s = dim_s self.dim_c = config.dim_c self.with_c = config.use_c_in_discriminator self.mini_bs = config.mini_batch_size self.use_d_info_gail = config.use_d_info_gail self.device = torch.device(config.device) self.discriminator = OptionDiscriminator(config, dim_s=dim_s, dim_a=dim_a) self.policy = OptionPolicy(config, dim_s=self.dim_s, dim_a=self.dim_a) self.optim = torch.optim.Adam(self.discriminator.parameters(), weight_decay=1.e-3) self.to(self.device) def original_gail_reward(self, s, c_1, a, c): d = self.discriminator.get_unnormed_d(s, c_1, a, c) reward = -F.logsigmoid(d) return reward def d_info_gail_reward(self, s, c_1, a, c): d = self.discriminator.get_unnormed_d(s, c_1, a, c) # la, lb, _, _, _ = self.policy.log_alpha_beta(s, a) # logpc = (la + lb).log_softmax(dim=-1).gather(dim=-1, index=c) reward = -F.logsigmoid(d) reward += 0.001 * self.policy.log_prob_option(s, c_1, c) return reward def gail_reward(self, s, c_1, a, c): if not self.use_d_info_gail: return self.original_gail_reward(s, c_1, a, c) else: return self.d_info_gail_reward(s, c_1, a, c) def step_original_gan(self, sample_scar, demo_scar, n_step=10): sp = torch.cat([s for s, c, a, r in sample_scar], dim=0) se = torch.cat([s for s, c, a, r in demo_scar], dim=0) c_1p = torch.cat([c[:-1] for s, c, a, r in sample_scar], dim=0) c_1e = torch.cat([c[:-1] for s, c, a, r in demo_scar], dim=0) cp = torch.cat([c[1:] for s, c, a, r in sample_scar], dim=0) ce = torch.cat([c[1:] for s, c, a, r in demo_scar], dim=0) ap = torch.cat([a for s, c, a, r in sample_scar], dim=0) ae = torch.cat([a for s, c, a, r in demo_scar], dim=0) tp = torch.ones(self.mini_bs, 1, dtype=torch.float32, device=self.device) te = torch.zeros(self.mini_bs, 1, dtype=torch.float32, device=self.device) for _ in range(n_step): inds = torch.randperm(sp.size(0), device=self.device) for ind_p in inds.split(self.mini_bs): sp_b, cp_1b, ap_b, cp_b, tp_b = sp[ind_p], c_1p[ind_p], ap[ind_p], cp[ind_p], tp[:ind_p.size(0)] ind_e = torch.randperm(se.size(0), device=self.device)[:ind_p.size(0)] se_b, ce_1b, ae_b, ce_b, te_b = se[ind_e], c_1e[ind_e], ae[ind_e], ce[ind_e], te[:ind_p.size(0)] s_array = torch.cat((sp_b, se_b), dim=0) a_array = torch.cat((ap_b, ae_b), dim=0) c_1array = torch.cat((cp_1b, ce_1b), dim=0) c_array = torch.cat((cp_b, ce_b), dim=0) t_array = torch.cat((tp_b, te_b), dim=0) for _ in range(3): src = self.discriminator.get_unnormed_d(s_array, c_1array, a_array, c_array) loss = F.binary_cross_entropy_with_logits(src, t_array) self.optim.zero_grad() loss.backward() self.optim.step() def step(self, sample_sar, demo_sar, n_step=10): return self.step_original_gan(sample_sar, demo_sar, n_step) def convert_demo(self, demo_sa): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, a_array in demo_sa: if self.with_c: c_array, _ = self.policy.viterbi_path(s_array, a_array) else: c_array = torch.zeros(s_array.size(0)+1, 1, dtype=torch.long, device=self.device) r_array = self.gail_reward(s_array, c_array[:-1], a_array, c_array[1:]) out_sample.append((s_array, c_array, a_array, r_array)) r_sum_avg += r_array.sum().item() r_sum_avg /= len(demo_sa) return out_sample, r_sum_avg def convert_sample(self, sample_scar): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, c_array, a_array, r_real_array in sample_scar: r_fake_array = self.gail_reward(s_array, c_array[:-1], a_array, c_array[1:]) out_sample.append((s_array, c_array, a_array, r_fake_array)) r_sum_avg += r_real_array.sum().item() r_sum_avg /= len(sample_scar) return out_sample, r_sum_avg class MoEGAIL(torch.nn.Module): def __init__(self, config: Config, dim_s=2, dim_a=2): super(MoEGAIL, self).__init__() self.dim_a = dim_a self.dim_s = dim_s self.dim_c = config.dim_c self.mini_bs = config.mini_batch_size self.device = torch.device(config.device) self.discriminator = MoEDiscriminator(config, dim_s=dim_s) self.policy = MoEPolicy(config, dim_s=self.dim_s, dim_a=self.dim_a) self.optim = torch.optim.Adam(list(self.discriminator.parameters()) + self.policy.get_param(low_policy=False), weight_decay=1.e-3) self.to(self.device) def original_gail_reward(self, s): # N x 1 d = self.discriminator.get_unnormed_d(s) # N x C x 1 weight = self.policy.mix(s) # N x C x 1 reward = -(F.logsigmoid(d) * weight).sum(dim=-2) return reward def gail_reward(self, s): # N x 1 return self.original_gail_reward(s) def step_original_gan(self, sample_sar, demo_sar, n_step=10): sp = torch.cat([s for s, a, r in sample_sar], dim=0) se = torch.cat([s for s, a, r in demo_sar], dim=0) tp = torch.ones(self.mini_bs, self.dim_c, dtype=torch.float32, device=self.device) te = torch.zeros(self.mini_bs, self.dim_c, dtype=torch.float32, device=self.device) for _ in range(n_step): inds = torch.randperm(sp.size(0), device=self.device) for ind_p in inds.split(self.mini_bs): sp_b, tp_b = sp[ind_p], tp[:ind_p.size(0)] ind_e = torch.randperm(se.size(0), device=self.device)[:ind_p.size(0)] se_b, te_b = se[ind_e], te[:ind_p.size(0)] s_array = torch.cat((sp_b, se_b), dim=0) t_array = torch.cat((tp_b, te_b), dim=0) for _ in range(3): w_array = self.policy.mix(s_array).squeeze(dim=-1) # N x C src = self.discriminator.get_unnormed_d(s_array).squeeze(dim=-1) # N x C loss = (F.binary_cross_entropy_with_logits(src, t_array, reduction='none') * w_array).mean(dim=-2).sum() lb = (w_array.mean(dim=0) - 0.5).square().sum() le = (w_array.mean(dim=1) - 0.5).square().mean() lv = -((w_array - w_array.mean(dim=0, keepdim=True)).mean(dim=0)).sum() loss = loss + 0.01 * lb + 10.0 * le + 1.0 * lv self.optim.zero_grad() loss.backward() self.optim.step() def step(self, sample_sar, demo_sar, n_step=10): return self.step_original_gan(sample_sar, demo_sar, n_step) def convert_demo(self, demo_sa): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, a_array in demo_sa: r_array = self.gail_reward(s_array) out_sample.append((s_array, a_array, r_array)) r_sum_avg += r_array.sum().item() r_sum_avg /= len(demo_sa) return out_sample, r_sum_avg def convert_sample(self, sample_sar): with torch.no_grad(): out_sample = [] r_sum_avg = 0. for s_array, a_array, r_real_array in sample_sar: r_fake_array = self.gail_reward(s_array) out_sample.append((s_array, a_array, r_fake_array)) r_sum_avg += r_real_array.sum().item() r_sum_avg /= len(sample_sar) return out_sample, r_sum_avg

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py

Python

vip/admin.py

jhihwei/eshop

e9861e9a2ee084201ecd36bed628cf50e9dbeb7e

[ "Apache-2.0" ]

null

vip/admin.py

jhihwei/eshop

e9861e9a2ee084201ecd36bed628cf50e9dbeb7e

[ "Apache-2.0" ]

null

vip/admin.py

jhihwei/eshop

e9861e9a2ee084201ecd36bed628cf50e9dbeb7e

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import VIP_User admin.site.register(VIP_User)

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py

Python

Products/__init__.py

zms-publishing/Products.zms-skins

fcf7693aeeb0b09544fd9710a060ae227d253e0e

[ "MIT" ]

null

Products/__init__.py

zms-publishing/Products.zms-skins

fcf7693aeeb0b09544fd9710a060ae227d253e0e

[ "MIT" ]

null

Products/__init__.py

zms-publishing/Products.zms-skins

fcf7693aeeb0b09544fd9710a060ae227d253e0e

[ "MIT" ]

null

# @see https://setuptools.readthedocs.io/en/latest/setuptools.html?highlight=namespace%20packages#namespace-packages # @see https://packaging.python.org/guides/packaging-namespace-packages/#pkg-resources-style-namespace-packages __import__("pkg_resources").declare_namespace(__name__)

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py

Python

venv/lib/python3.8/site-packages/rope/refactor/extract.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/rope/refactor/extract.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/rope/refactor/extract.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/03/5d/73/bf11ad8cbb2433eafbeb5403b0b1ea0db92962c094d0b91f4976933dbb

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1f94fdfa605c8b25a50c57cdfe1968ce12115147

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py

Python

spam.py

sweden-moose/Forum-spammer

09871f0bcfba51d79b9cc496530cd7170c65e45b

[ "MIT" ]

1

2020-12-26T13:57:22.000Z

spam.py

sweden-moose/Forum-spammer

09871f0bcfba51d79b9cc496530cd7170c65e45b

[ "MIT" ]

null

spam.py

sweden-moose/Forum-spammer

09871f0bcfba51d79b9cc496530cd7170c65e45b

[ "MIT" ]

null

from bs4 import BeautifulSoup from selenium import webdriver import time import random import getlinks logins = ['capcha_remake1', 'capcha_remake2', 'capcha_remake3'] f = open("proxy.txt", 'r') proxies = f.read().split('\n') f.close() qst = {'8+8=': '16', 'Самая большая страна мира по площади?': 'Россия', 'Имя первого космонавта?': 'Юра', 'Как называется наша планета?': 'Земля', '2+2=': '4', 'Что светит в небе?': 'Солнце'} mes = 'Пионер! Поменяй капчу!!!' again = [] firefox_capabilities = webdriver.DesiredCapabilities.FIREFOX firefox_capabilities['marionette'] = True proxy = random.choice(proxies) print(proxy) firefox_capabilities['proxy'] = { "proxyType": "MANUAL", "httpProxy": proxy, "ftpProxy": proxy, "sslProxy": proxy } def change_prox(): proxy = random.choice(proxies) print(proxy) firefox_capabilities['proxy'] = { "proxyType": "MANUAL", "httpProxy": proxy, "ftpProxy": proxy, "sslProxy": proxy } for i in testxts.find_threads('https://freetp.org/forum/categories-10'): try: driver = webdriver.Firefox(capabilities=firefox_capabilities) driver.get(i) change_prox() driver.get(i) log = random.choice(logins) driver.find_element_by_xpath("//input[@name=\"login_name\"]").send_keys(log) driver.find_element_by_xpath("//input[@name=\"login_password\"]").send_keys(log) driver.find_element_by_xpath("//input[@onclick=\"submit();\"]").click() driver.find_element_by_xpath("//textarea[@id=\"text_msg\"]").send_keys('Пионер, измени капчу!!!!') f = driver.find_element_by_xpath( "/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/dl/dt").text[8:] driver.find_element_by_xpath( '/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/dl/dd/input').send_keys( qst[f]) driver.find_element_by_xpath( '/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/button').click() time.sleep(10) driver.close() except BaseException: again.append(i) while again != []: j = random.choice(again) try: driver = webdriver.Firefox(capabilities=firefox_capabilities) driver.get(j) change_prox() driver.get(j) log = random.choice(logins) driver.find_element_by_xpath("//input[@name=\"login_name\"]").send_keys(log) driver.find_element_by_xpath("//input[@name=\"login_password\"]").send_keys(log) driver.find_element_by_xpath("//input[@onclick=\"submit();\"]").click() driver.find_element_by_xpath("//textarea[@id=\"text_msg\"]").send_keys('Пионер, измени капчу!!!!') f = driver.find_element_by_xpath( "/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/dl/dt").text[8:] driver.find_element_by_xpath( '/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/dl/dd/input').send_keys( qst[f]) driver.find_element_by_xpath( '/html/body/div[2]/div[3]/div[3]/div[1]/div[1]/div/div/div[1]/div/form/ol/li/div[3]/button').click() time.sleep(10) again.pop(again.index(j)) driver.close() except BaseException: again.append(i)

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py

Python

LMs/probe_tasks/src/contextualizers/__init__.py

baidu-research/task_space

6d07315e4da78561d465ae9cd99542d6f8f43a13

[ "MIT" ]

10

2021-11-08T07:18:00.000Z

2022-03-30T21:50:35.000Z

LMs/probe_tasks/src/contextualizers/__init__.py

baidu-research/task_space

6d07315e4da78561d465ae9cd99542d6f8f43a13

[ "MIT" ]

null

LMs/probe_tasks/src/contextualizers/__init__.py

baidu-research/task_space

6d07315e4da78561d465ae9cd99542d6f8f43a13

[ "MIT" ]

null

from src.contextualizers.contextualizer import Contextualizer from src.contextualizers.precomputed_contextualizer import PrecomputedContextualizer __all__ = ["Contextualizer", "PrecomputedContextualizer"]

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py

Python

btbot/__init__.py

virtualpeer/btbot

fd0cae7c3e946631e42128630579cb9f93678805

[ "MIT" ]

8

2019-01-28T00:14:55.000Z

2022-03-02T07:18:24.000Z

btbot/__init__.py

virtualpeer/btbot

fd0cae7c3e946631e42128630579cb9f93678805

[ "MIT" ]

null

btbot/__init__.py

virtualpeer/btbot

fd0cae7c3e946631e42128630579cb9f93678805

[ "MIT" ]

11

2018-10-19T14:56:40.000Z

2022-03-02T07:18:26.000Z

from .cerebro import Cerebro, get_cerebro from .trainer import Trainer

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0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2f43d40ce3f1aab212807b3b9c122586b3b59cbf

29

py

Python

learning_new_technique_sandbox/src/__init__.py

qingchaowang/learning_sandbox

cfc756bc5abd944935213b2ef90beab7d40d5d18

[ "MIT" ]

null

learning_new_technique_sandbox/src/__init__.py

qingchaowang/learning_sandbox

cfc756bc5abd944935213b2ef90beab7d40d5d18

[ "MIT" ]

null

learning_new_technique_sandbox/src/__init__.py

qingchaowang/learning_sandbox

cfc756bc5abd944935213b2ef90beab7d40d5d18

[ "MIT" ]

null

from .desing_pattern import *

29

0.827586

4

29

5.75

1

0

0.103448

29

1

29

0.884615

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2f612457e98cc0f2f9401bc37c49af1eb694b5cf

48

py

Python

ex/23.py

StopITnowFAST/7lab

8619e2a6f830d410377c5c0865ea74e30b711168

[ "MIT" ]

null

ex/23.py

StopITnowFAST/7lab

8619e2a6f830d410377c5c0865ea74e30b711168

[ "MIT" ]

null

ex/23.py

StopITnowFAST/7lab

8619e2a6f830d410377c5c0865ea74e30b711168

[ "MIT" ]

null

a = [1, 2, 3, 4, 5] print(a) a.clear() print(a)

9.6

19

0.5

12

48

2

0.666667

0.5

0

0.131579

0.208333

48

4

20

12

0.5

0

0.5

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

2f7a88a336a1ce95a24562fa797b8d955f3aa038

119

py

Python

manageflow/boards/admin.py

M-Anas-Syed/manageflow

88c689d6f40eaff818abaa6a44e1370e22a97809

[ "MIT" ]

null

manageflow/boards/admin.py

M-Anas-Syed/manageflow

88c689d6f40eaff818abaa6a44e1370e22a97809

[ "MIT" ]

null

manageflow/boards/admin.py

M-Anas-Syed/manageflow

88c689d6f40eaff818abaa6a44e1370e22a97809

[ "MIT" ]

null

from django.contrib import admin from .models import Board, Task admin.site.register(Board) admin.site.register(Task)

19.833333

32

0.806723

18

119

5.333333

0.555556

0.1875

0.354167

0

0.10084

119

5

33

23.8

0.897196

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2f86d7e42b1599f3e5f80137d6ba4e7bfe2c540a

385

py

Python

terrascript/icinga2/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/icinga2/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/icinga2/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

# terrascript/icinga2/r.py import terrascript class icinga2_host(terrascript.Resource): pass class icinga2_hostgroup(terrascript.Resource): pass class icinga2_checkcommand(terrascript.Resource): pass class icinga2_service(terrascript.Resource): pass class icinga2_user(terrascript.Resource): pass class icinga2_notification(terrascript.Resource): pass

16.73913

49

0.784416

42

385

7.047619

0.333333

0.243243

0.466216

0.472973

0.591216

0

0.021212

0.142857

385

22

50

17.5

0.875758

0.062338

0

0.461538

0

1

0

true

0.461538

0.076923

0

0.538462

0

null

1

0

null

0

1

0

5

85d7a35e2e3c18b4ee6be40ae24fbbeb135cdaeb

37

py

Python

scorecard/profile_data/indicator_calculator.py

desafinadude/municipal-data

1c86c55bbb59f9c8087f6920fae3585dd90d5d43

[ "MIT" ]

19

2018-01-09T10:54:15.000Z

2022-01-25T13:10:55.000Z

scorecard/profile_data/indicator_calculator.py

desafinadude/municipal-data

1c86c55bbb59f9c8087f6920fae3585dd90d5d43

[ "MIT" ]

29

2018-01-12T12:12:38.000Z

2022-01-31T15:30:36.000Z

scorecard/profile_data/indicator_calculator.py

desafinadude/municipal-data

1c86c55bbb59f9c8087f6920fae3585dd90d5d43

[ "MIT" ]

13

2018-02-11T02:12:57.000Z

2021-11-22T11:03:22.000Z

class IndicatorCalculator: pass

9.25

26

0.756757

3

37

9.333333

1

0

0.216216

37

3

27

12.333333

0.965517

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

c80a00cd5f3c14562795867d3a826546836aadb0

50

py

Python

flask_accepts/decorators/__init__.py

cafetodev/flask_accepts

6d3728a4008f360e0a208064f6620557d270bcdd

[ "BSD-3-Clause" ]

170

2019-05-04T17:53:15.000Z

2022-03-03T21:39:59.000Z

flask_accepts/decorators/__init__.py

cafetodev/flask_accepts

6d3728a4008f360e0a208064f6620557d270bcdd

[ "BSD-3-Clause" ]

104

2019-07-04T15:46:15.000Z

2022-01-14T19:18:12.000Z

flask_accepts/decorators/__init__.py

cafetodev/flask_accepts

6d3728a4008f360e0a208064f6620557d270bcdd

[ "BSD-3-Clause" ]

55

2019-05-04T22:39:30.000Z

2022-01-13T16:18:13.000Z

from .decorators import accepts, responds # noqa

25

49

0.78

6

50

6.5

1

0

0.16

50

1

50

0.928571

0.08

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c81093b8a370b02d8fac2b2eb7b1bfd6b8fc5055

148

py

Python

uteis/numeros/__init__.py

Felix-xilef/Curso-de-Python

cdff7c7f3850e6326e274c8c1987b9e1a18ce910

[ "MIT" ]

null

uteis/numeros/__init__.py

Felix-xilef/Curso-de-Python

cdff7c7f3850e6326e274c8c1987b9e1a18ce910

[ "MIT" ]

null

uteis/numeros/__init__.py

Felix-xilef/Curso-de-Python

cdff7c7f3850e6326e274c8c1987b9e1a18ce910

[ "MIT" ]

null

def fatorial(n): f = 1 for i in range(n, 0, -1): f *= i return f def dobro(n): return n*2 def triplo(n): return n*3

10.571429

29

0.486486

28

148

2.571429

0.535714

0.194444

0.222222

0

0.054348

0.378378

148

13

30

11.384615

0.728261

0

1

0.333333

false

0

0.222222

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c826f614dc7c154cddca9eab5f95e471595ccc65

193

py

Python

linearmodels/tests/shared/test_base.py

clarityai-eng/linearmodels

21d059199925b51075ac2139e6d8ab44fdd17938

[ "NCSA" ]

null

linearmodels/tests/shared/test_base.py

clarityai-eng/linearmodels

21d059199925b51075ac2139e6d8ab44fdd17938

[ "NCSA" ]

null

linearmodels/tests/shared/test_base.py

clarityai-eng/linearmodels

21d059199925b51075ac2139e6d8ab44fdd17938

[ "NCSA" ]

null

from linearmodels.compat.statsmodels import Summary from linearmodels.shared.base import _SummaryStr def test_sumary_str(): ss = _SummaryStr() assert isinstance(ss.summary, Summary)

21.444444

51

0.787565

23

193

6.434783

0.695652

0.216216

0

0.139896

193

8

52

24.125

0.891566

0

0.2

1

0.2

false

0

0.4

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c08f0e44cc9b4fdb9480cc8307d130df847073c7

301

py

Python

e2elink/steps/compare/columns/visit_date.py

ersilia-os/cidrz-e2e-linkage

840581cdb90617f3ceb1be898992f0a8df71f9e3

[ "MIT" ]

null

e2elink/steps/compare/columns/visit_date.py

ersilia-os/cidrz-e2e-linkage

840581cdb90617f3ceb1be898992f0a8df71f9e3

[ "MIT" ]

null

e2elink/steps/compare/columns/visit_date.py

ersilia-os/cidrz-e2e-linkage

840581cdb90617f3ceb1be898992f0a8df71f9e3

[ "MIT" ]

null

from ....metrics.metrics import LevenshteinSimilarity, TimeDaysSimilarity from ....columns.visit_date import VisitDateColumn class VisitDateMetrics(object): def __init__(self): self.metrics = [LevenshteinSimilarity(), TimeDaysSimilarity()] self.prefix = VisitDateColumn().label

30.1

73

0.754153

26

301

8.538462

0.653846

0.351351

0

0.142857

301

9

74

33.444444

0.860465

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c0b1b7000bf9d14965c85bb3bd55f3df827baed2

430

py

Python

step9/test/persistence/__init__.py

banalna/pip-samples-beacons-python

6a26bbb47f0d570e97e8135818ebcd76bfe41d93

[ "MIT" ]

null

step9/test/persistence/__init__.py

banalna/pip-samples-beacons-python

6a26bbb47f0d570e97e8135818ebcd76bfe41d93

[ "MIT" ]

null

step9/test/persistence/__init__.py

banalna/pip-samples-beacons-python

6a26bbb47f0d570e97e8135818ebcd76bfe41d93

[ "MIT" ]

1

2020-08-03T13:12:26.000Z

# -*- coding: utf-8 -*- __all__ = ['TestBeaconMongoDbPersistence', 'TestBeaconMemoryPersistence', 'TestBeaconFilePersistence', 'BeaconsPersistenceFixture'] from .BeaconsPersistenceFixture import BeaconsPersistenceFixture from .test_BeaconFilePersistence import TestBeaconFilePersistence from .test_BeaconMemoryPersistence import TestBeaconMemoryPersistence from .test_BeaconMongoDbPersistence import TestBeaconMongoDbPersistence

53.75

131

0.872093

27

430

13.62963

0.518519

0.065217

0

0.002488

0.065116

430

8

132

53.75

0.912935

0.048837

0

0.257353

0

1

0

false

0

0.8

0

0.8

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

c0d0e316f0af4600ff06eba13181f2f80d4f641b

44

py

Python

excel4lib/sheet/__init__.py

aaaddress1/boobsnail

c0c2067d7271ca76ee721998d28e8c3c81a48397

[ "MIT" ]

169

2021-05-26T13:35:16.000Z

2021-09-06T08:04:19.000Z

excel4lib/sheet/__init__.py

H4xl0r/boobsnail

c0c2067d7271ca76ee721998d28e8c3c81a48397

[ "MIT" ]

2

2021-06-01T13:46:37.000Z

2021-07-12T19:06:37.000Z

excel4lib/sheet/__init__.py

H4xl0r/boobsnail

c0c2067d7271ca76ee721998d28e8c3c81a48397

[ "MIT" ]

29

2021-05-27T17:28:29.000Z

2021-09-04T19:24:50.000Z

from .cell import * from .worksheet import *

22

24

0.75

6

44

5.5

0.666667

0

0.159091

44

2

24

22

0.891892

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

23baafab3de4686aa7f0b8672a42c0db1845e871

256

py

Python

Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py

dolong2110/Algorithm-By-Problems-Python

31ecc7367aaabdd2b0ac0af7f63ca5796d70c730

[ "MIT" ]

1

2021-08-16T14:52:05.000Z

Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py

dolong2110/Algorithm-By-Problems-Python

31ecc7367aaabdd2b0ac0af7f63ca5796d70c730

[ "MIT" ]

null

Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py

dolong2110/Algorithm-By-Problems-Python

31ecc7367aaabdd2b0ac0af7f63ca5796d70c730

[ "MIT" ]

null

from unittest import TestCase from remove_duplicates import removeDuplicates class Test(TestCase): def test_remove_duplicates(self): self.assertEqual(removeDuplicates("abbaca"), "ca") self.assertEqual(removeDuplicates("azxxzy"), "ay")

32

58

0.753906

27

256

7.037037

0.592593

0.168421

0.326316

0

0.144531

256

7

59

36.571429

0.86758

0

0.0625

0

0.333333

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

23c6757a4e2eb44559c187d7126c685c62339153

49

py

Python

usecases/screen/exceptions.py

aboulay/goyave.py

ce46f582d87a9fc5a455e7f5e1b0103a4571f157

[ "MIT" ]

null

usecases/screen/exceptions.py

aboulay/goyave.py

ce46f582d87a9fc5a455e7f5e1b0103a4571f157

[ "MIT" ]

null

usecases/screen/exceptions.py

aboulay/goyave.py

ce46f582d87a9fc5a455e7f5e1b0103a4571f157

[ "MIT" ]

null

class UnknownResponseFormat(Exception): pass

16.333333

39

0.795918

4

49

9.75

1

0

0.142857

49

2

40

24.5

0.928571

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

23f679d39a88c414a6bf699dbfc285a0a1bf4b3c

215

py

Python

idcovid19/models/factory.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

idcovid19/models/factory.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

idcovid19/models/factory.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

from idcovid19.models.model1 import Model1 from idcovid19.models.model2 import Model2 def get_model(modelname, data): return { "model1": Model1, "model2": Model2, }[modelname.lower()](data)

23.888889

42

0.683721

25

215

5.84

0.52

0.178082

0.260274

0

0.069767

0.2

215

8

43

26.875

0.77907

0

0.055814

0

1

0.142857

false

0

0.285714

0.142857

0.571429

0

1

0

null

0

1

0

1

0

null

0

1

0

5

9b13b71566d80a7f1e6105afaf3f41bfd49afa98

87

py

Python

src/__init__.py

AP-Atul/string-matching

d12b1fac4aa1225c9a2a1e7802b400992aaf66e4

[ "MIT" ]

1

2021-06-13T16:59:42.000Z

src/__init__.py

AP-Atul/string-matching

d12b1fac4aa1225c9a2a1e7802b400992aaf66e4

[ "MIT" ]

null

src/__init__.py

AP-Atul/string-matching

d12b1fac4aa1225c9a2a1e7802b400992aaf66e4

[ "MIT" ]

null

from ._match import levenshtein_ratio_and_distance from ._dictionary import Dictionary

29

50

0.885057

11

87

6.545455

0.727273

0

0.091954

87

2

51

43.5

0.911392

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f1e48fe015011c25ddd1cabbe6ac89a1d982dc36

61

py

Python

PyFLOTRAN/utils/__init__.py

aitirga/PyFLOTRAN

f601052a0686e89434ae91a917f218afa6c31528

[ "MIT" ]

2

2021-05-14T18:41:49.000Z

2021-10-05T15:06:31.000Z

PyFLOTRAN/utils/__init__.py

aitirga/PyFLOTRAN

f601052a0686e89434ae91a917f218afa6c31528

[ "MIT" ]

6

2020-04-30T10:19:39.000Z

2022-03-21T18:16:14.000Z

PyFLOTRAN/utils/__init__.py

aitirga/PyFLOTRAN

f601052a0686e89434ae91a917f218afa6c31528

[ "MIT" ]

1

2020-03-24T10:37:23.000Z

from .configuration_utils import * from .decorators import *

20.333333

34

0.803279

7

61

6.857143

0.714286

0

0.131148

61

2

35

30.5

0.90566

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f1f7be408b9dd29702d90db9ab88fad8307340dc

63

py

Python

11-(ek)-modul-kullanimi.py

omerkocadayi/WeWantEd--Python-a-Giris-

bedde84d0933d05a3a73b894c90c7d04736c3bba

[ "MIT" ]

2

2017-03-26T13:02:42.000Z

2017-04-03T00:50:19.000Z

11-(ek)-modul-kullanimi.py

omerkocadayi/WeWantEd--Python-a-Giris-

bedde84d0933d05a3a73b894c90c7d04736c3bba

[ "MIT" ]

null

11-(ek)-modul-kullanimi.py

omerkocadayi/WeWantEd--Python-a-Giris-

bedde84d0933d05a3a73b894c90c7d04736c3bba

[ "MIT" ]

null

from 11-fonksiyon-hesap-makinesi import * print(kokAl(625,4))

15.75

41

0.761905

10

63

4.8

1

0

0.105263

0.095238

63

3

42

21

0.736842

0

null

0

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7b0ac9a8b5c7d8c08a4c6954c83e8b09da565e83

34

py

Python

examples/str.index/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/str.index/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/str.index/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

print('Looking for o'.index('o'))

17

33

0.647059

6

34

3.666667

0.833333

0

0.088235

34

1

34

0.709677

0

0.411765

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

7b1594cc81b70d7e10b2209ad94a278c765693d8

19

py

Python

cacreader/swig-4.0.2/Examples/python/import_packages/split_modules/vanilla_split/pkg1/__init__.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

1,031

2015-01-02T14:08:47.000Z

2022-03-29T02:25:27.000Z

cacreader/swig-4.0.2/Examples/python/import_packages/split_modules/vanilla_split/pkg1/__init__.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

240

2015-01-11T04:27:19.000Z

2022-03-30T00:35:57.000Z

cacreader/swig-4.0.2/Examples/python/import_packages/split_modules/vanilla_split/pkg1/__init__.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

224

2015-01-05T06:13:54.000Z

2022-02-25T14:39:51.000Z

# killroy was here

9.5

18

0.736842

3

19

4.666667

1

0

0.210526

19

1

19

0.933333

0.842105

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

7b1bd8511082d93a8e487c79b59457f2179b8970

377

py

Python

project/Shop/models.py

leehe228/Ecoverse

1554e4f44c8ba3cc60a0b7f2509f4d9b7a94099a

[ "CC-BY-4.0" ]

null

project/Shop/models.py

leehe228/Ecoverse

1554e4f44c8ba3cc60a0b7f2509f4d9b7a94099a

[ "CC-BY-4.0" ]

null

project/Shop/models.py

leehe228/Ecoverse

1554e4f44c8ba3cc60a0b7f2509f4d9b7a94099a

[ "CC-BY-4.0" ]

null

from django.db import models # Create your models here. class Shop(models.Model): lastupdate = models.DateTimeField(primary_key=True, auto_now_add=True) item1 = models.IntegerField(default=0) item2 = models.IntegerField(default=0) item3 = models.IntegerField(default=0) def __str__(self): return self.item1 + "&" + self.item2 + "&" + self.item3

26.928571

74

0.700265

48

377

5.354167

0.604167

0.210117

0.291829

0.303502

0

0.029126

0.180371

377

13

75

29

0.802589

0.06366

0

0.005698

0

1

0.125

false

0

0.125

1

0

null

1

0

null

0

1

0

5

9e6f6a926c01450b6d5a767dc27a10ccd6dc2d9b

58

py

Python

dlutils/models/gans/unit/__init__.py

justusschock/dl-utils

1078f5030b8aac2bf022daf5fa14d66f74c3c893

[ "MIT" ]

13

2020-03-25T12:29:32.000Z

2022-02-05T15:02:11.000Z

dlutils/models/gans/unit/__init__.py

Royzon/dl-utils

be95707da9cb812a5f25a11f1469055e0b7abcd2

[ "MIT" ]

1

2021-07-05T10:14:52.000Z

dlutils/models/gans/unit/__init__.py

Royzon/dl-utils

be95707da9cb812a5f25a11f1469055e0b7abcd2

[ "MIT" ]

5

2020-03-25T12:55:09.000Z

2020-12-22T20:18:52.000Z

from dlutils.models.gans.unit.unit import UNIT, update_fn

29

57

0.827586

10

58

4.7

0.8

0

0.086207

58

1

58

0.886792

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9eb28a074bc39b9f747344f6e677d43e580505bf

72

py

Python

conch/analysis/mfcc/__init__.py

mmcauliffe/Conch

7668612d7a610d0f5ae3332f990e71b26c5e8b34

[ "MIT" ]

33

2015-06-10T19:36:54.000Z

2017-09-18T23:57:46.000Z

conch/analysis/mfcc/__init__.py

mmcauliffe/Conch

7668612d7a610d0f5ae3332f990e71b26c5e8b34

[ "MIT" ]

5

2015-03-22T07:05:21.000Z

2017-08-16T03:48:19.000Z

conch/analysis/mfcc/__init__.py

mmcauliffe/Conch

7668612d7a610d0f5ae3332f990e71b26c5e8b34

[ "MIT" ]

10

2015-04-29T05:51:51.000Z

2017-07-12T18:52:18.000Z

from .rastamat import MfccFunction from .praat import PraatMfccFunction

24

36

0.861111

8

72

7.75

0.75

0

0.111111

72

2

37

36

0.96875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9ebad957c832678f90b1bb82e3f547b90fa1e7bc

39

py

Python

octohatrack.py

LABHR/octohatrack

89efd9d9e0237214a59f0c5e0c0535fa54f19aee

[ "BSD-3-Clause" ]

143

2015-11-27T17:07:04.000Z

2021-02-15T17:21:07.000Z

octohatrack.py

LABHR/octohatrack

89efd9d9e0237214a59f0c5e0c0535fa54f19aee

[ "BSD-3-Clause" ]

58

2015-11-22T06:23:49.000Z

2021-02-06T09:14:05.000Z

octohatrack.py

LABHR/octohatrack

89efd9d9e0237214a59f0c5e0c0535fa54f19aee

[ "BSD-3-Clause" ]

19

2015-11-28T05:32:09.000Z

2020-10-21T21:49:19.000Z

import octohatrack octohatrack.main()

9.75

18

0.820513

4

39

8

0.75

0

0.102564

39

3

19

13

0.914286

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

7b83656f261e67fb31d4cfef3bf1b17074fc805d

148

py

Python

main/admin.py

DilyanAntonov/django-sales-finder

657991b367122a5431b7dd0142a48b32f815e447

[ "MIT" ]

null

main/admin.py

DilyanAntonov/django-sales-finder

657991b367122a5431b7dd0142a48b32f815e447

[ "MIT" ]

null

main/admin.py

DilyanAntonov/django-sales-finder

657991b367122a5431b7dd0142a48b32f815e447

[ "MIT" ]

null

from django.contrib import admin from .models import ClothesItem, ClothesSearch admin.site.register(ClothesItem) admin.site.register(ClothesSearch)

29.6

46

0.851351

18

148

7

0.555556

0.142857

0.269841

0

0.074324

148

5

47

29.6

0.919708

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

7bcdbfe384dd7065ea67f5f453768fe4cd54a104

99

py

Python

Code/src/errors.py

alamillac/master_AI_tesis

c9cdb8e0b71498fca04c732cb176bf0610170b21

[ "MIT" ]

1

2021-12-18T15:18:24.000Z

Code/src/errors.py

alamillac/master_AI_tesis

c9cdb8e0b71498fca04c732cb176bf0610170b21

[ "MIT" ]

null

Code/src/errors.py

alamillac/master_AI_tesis

c9cdb8e0b71498fca04c732cb176bf0610170b21

[ "MIT" ]

null

class InvalidGroupError(Exception): pass class MaxInvalidIterationsError(Exception): pass

16.5

43

0.787879

8

99

9.75

0.625

0.333333

0

0.151515

99

5

44

19.8

0.928571

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

c8d4e0cc8060ad2aeec52f874b646c40594f259a

115

py

Python

1387.py

gabriel1lima/Questoes---URI---Python

4e88d76cf7ea68baf0464071bc4f72ced7d746cd

[ "MIT" ]

1

2020-10-01T14:22:48.000Z

1387.py

gabriel1lima/Questoes---URI---Python

4e88d76cf7ea68baf0464071bc4f72ced7d746cd

[ "MIT" ]

null

1387.py

gabriel1lima/Questoes---URI---Python

4e88d76cf7ea68baf0464071bc4f72ced7d746cd

[ "MIT" ]

7

2020-10-01T13:03:22.000Z

2020-10-02T16:10:25.000Z

l, r = map(int, input().split()) while(l != 0 and r != 0): print(l + r) l, r = map(int, input().split())

16.428571

36

0.478261

21

115

2.619048

0.47619

0.109091

0.181818

0.290909

0.654545

0

0.023529

0.26087

115

7

36

16.428571

0.623529

0

0.5

0

1

0

true

0

0.25

1

0

null

0

1

0

1

0

null

0

1

0

5

c8d4e96aff4bf95b74c693397bb9c9f783a1fd48

126

py

Python

models3CwProject/models3CwProblem2App/views.py

cs-fullstack-2019-spring/django-models3-cw-MelaatiJ

cba6396f46f959b9b89fe22430de541aee164e60

[ "Apache-2.0" ]

null

models3CwProject/models3CwProblem2App/views.py

cs-fullstack-2019-spring/django-models3-cw-MelaatiJ

cba6396f46f959b9b89fe22430de541aee164e60

[ "Apache-2.0" ]

null

models3CwProject/models3CwProblem2App/views.py

cs-fullstack-2019-spring/django-models3-cw-MelaatiJ

cba6396f46f959b9b89fe22430de541aee164e60

[ "Apache-2.0" ]

null

from django.shortcuts import render # Create your views here. from django.http import HttpResponse from .models import Car

15.75

36

0.801587

18

126

5.611111

0.722222

0.19802

0

0.15873

126

7

37

18

0.95283

0.18254

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cda615e051bcb4f41913352818fa9e85cce142ef

161

py

Python

mmselfsup/models/backbones/__init__.py

st9007a/mmselfsup

7127db8522c38e16e00ab1bf9710ba6d5197469a

[ "Apache-2.0" ]

1

2021-12-22T08:36:20.000Z

mmselfsup/models/backbones/__init__.py

Yagami5/mmselfsup

5d2b4a389bbf8b2e05f34fe3b607919a3b9ea7a3

[ "Apache-2.0" ]

null

mmselfsup/models/backbones/__init__.py

Yagami5/mmselfsup

5d2b4a389bbf8b2e05f34fe3b607919a3b9ea7a3

[ "Apache-2.0" ]

1

2022-03-15T11:31:48.000Z

26.833333

47

0.745342

19

161

6.105263

0.578947

0.258621

0

0.014388

0.136646

161

5

48

32.2

0.820144

0.279503

0

0.192982

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

cdd91cb90697ed51cc391a2b87791c5c11e17002

21

py

Python

cache/RiZoeL.py

MrRizoel/RiZoeLVCstream

66686932eb8715ec4b0872d593c2c401af7a4417

[ "MIT" ]

null

cache/RiZoeL.py

MrRizoel/RiZoeLVCstream

66686932eb8715ec4b0872d593c2c401af7a4417

[ "MIT" ]

null

cache/RiZoeL.py

MrRizoel/RiZoeLVCstream

66686932eb8715ec4b0872d593c2c401af7a4417

[ "MIT" ]

null

#lodaa lenaa kangerr

10.5

20

0.809524

3

21

5.666667

1

0

0.142857

21

1

21

0.944444

0.904762

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

cdf49e0f5872dff7015116ee493187628e9dcae6

50

py

Python

tests/test_sample.py

sasano8/fastapi_docker_template

9f53ba7473da02f5fe9725c753a4ab491e42c855

[ "MIT" ]

null

tests/test_sample.py

sasano8/fastapi_docker_template

9f53ba7473da02f5fe9725c753a4ab491e42c855

[ "MIT" ]

null

tests/test_sample.py

sasano8/fastapi_docker_template

9f53ba7473da02f5fe9725c753a4ab491e42c855

[ "MIT" ]

null

# type: ignore def test_func(): assert True

8.333333

16

0.64

7

50

4.428571

1

0

0.26

50

5

17

10

0.837838

0.24

0

0.5

1

0.5

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a800732db357db015884d9718b92c357c7809507

159

py

Python

apps/risk_rating/tests.py

fga-gpp-mds/2017.2-Grupo4

e7cd2114ed46da879700f6163594d57e7797e367

[ "MIT" ]

7

2017-08-22T19:27:25.000Z

2017-12-09T18:17:40.000Z

apps/risk_rating/tests.py

fga-gpp-mds/2017.2-Grupo4

e7cd2114ed46da879700f6163594d57e7797e367

[ "MIT" ]

89

2017-09-20T03:22:49.000Z

2017-12-11T18:50:25.000Z

apps/risk_rating/tests.py

fga-gpp-mds/2017.2-Grupo4

e7cd2114ed46da879700f6163594d57e7797e367

[ "MIT" ]

1

2017-09-26T04:15:49.000Z

from apps.risk_rating.apps import RiskRatingConfig class TestRiskRating: def test_app(self): assert RiskRatingConfig.name == 'apps.risk_rating'

19.875

58

0.754717

19

159

6.157895

0.736842

0.136752

0.239316

0

0.169811

159

7

59

22.714286

0.886364

0

0.100629

0

0.25

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a827f8281dbd6d379531d7df14de77d9352d268a

2,440

py

Python

tests/test_address.py

ishiland/nyc-parser

6912e211893aea999f609f6e6311a06744de0dc0

[ "MIT" ]

1

2019-11-19T22:47:17.000Z

tests/test_address.py

ishiland/nyc-parser

6912e211893aea999f609f6e6311a06744de0dc0

[ "MIT" ]

1

2019-08-19T18:49:53.000Z

2019-08-21T13:22:48.000Z

tests/test_address.py

ishiland/nyc-parser

6912e211893aea999f609f6e6311a06744de0dc0

[ "MIT" ]

null

from tests.testcase import TestCase class TestAddress(TestCase): def test_phn(self): result = self.parser.address('100') self.assertDictEqual({ 'PHN': '100', 'STREET': '', 'BOROUGH_CODE': None, 'BOROUGH_NAME': None, 'ZIP': None }, result) def test_street(self): result = self.parser.address('100 Gold st') self.assertDictEqual({ 'PHN': '100', 'STREET': 'GOLD ST', 'BOROUGH_CODE': None, 'BOROUGH_NAME': None, 'ZIP': None }, result) def test_borough_code(self): result = self.parser.address('100 Gold st, mn') self.assertDictEqual({ 'PHN': '100', 'STREET': 'GOLD ST', 'BOROUGH_CODE': 1, 'BOROUGH_NAME': 'MANHATTAN', 'ZIP': None }, result) def test_borough_name(self): result = self.parser.address('100 Gold, mn') self.assertDictEqual({ 'PHN': '100', 'STREET': 'GOLD', 'BOROUGH_CODE': 1, 'BOROUGH_NAME': 'MANHATTAN', 'ZIP': None }, result) def test_zip(self): result = self.parser.address('100 Gold st, MN 10038') self.assertDictEqual({ 'PHN': '100', 'STREET': 'GOLD ST', 'BOROUGH_CODE': 1, 'BOROUGH_NAME': 'MANHATTAN', 'ZIP': '10038' }, result) def test_address_w_apartment(self): result = self.parser.address('100 gold st apt 123, mn') self.assertDictEqual({ 'PHN': '100', 'STREET': 'GOLD ST', 'BOROUGH_CODE': 1, 'BOROUGH_NAME': 'MANHATTAN', 'ZIP': None }, result) def test_queens_address(self): result = self.parser.address('74-12 35th ave, Queens') self.assertDictEqual({ 'PHN': '74-12', 'STREET': '35TH AVE', 'BOROUGH_CODE': 4, 'BOROUGH_NAME': 'QUEENS', 'ZIP': None }, result) def test_queens_address_w_apartment(self): result = self.parser.address('74-12 35th ave apt 319, Queens NY 11372') self.assertDictEqual({ 'PHN': '74-12', 'STREET': '35TH AVE', 'BOROUGH_CODE': 4, 'BOROUGH_NAME': 'QUEENS', 'ZIP': '11372' }, result)

28.705882

79

0.492623

243

2,440

4.814815

0.164609

0.084615

0.095727

0.136752

0.874359

0.847863

0.810256

0.718803

0.628205

0.468376

0

0.059585

0.367213

2,440

84

80

29.047619

0.698187

0

0.702703

0

0.232882

0

0.108108

1

0.108108

false

0

0.013514

0

0.135135

0

null

0

1

0

1

0

null

0

5

b59b43fe77ba7b0c8426a7110f29a82190a65d26

585

py

Python

first_project/first_app/views.py

venkat1077/learn_django

ca83640cb490d27b313c94ba7b3e85fa0053d2be

[ "MIT" ]

1

2018-03-27T11:12:27.000Z

first_project/first_app/views.py

venkat1077/learn_django

ca83640cb490d27b313c94ba7b3e85fa0053d2be

[ "MIT" ]

null

first_project/first_app/views.py

venkat1077/learn_django

ca83640cb490d27b313c94ba7b3e85fa0053d2be

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse from first_app.models import Topic, Webpage, AccessRecord # Create your views here. def index(request): webpages_list = AccessRecord.objects.order_by('date') date_dict = {'access_records':webpages_list} return render(request, 'first_app/index.html', context=date_dict) def home(request): return render(request, 'first_app/home.html') #def index(request): # my_dict = {'insert_me': "Hello! I'm from first_app/index.html"} # return render(request, 'first_app/index.html', context=my_dict)

34.411765

69

0.752137

83

585

5.13253

0.46988

0.093897

0.133803

0.169014

0.265258

0.201878

0

0.129915

585

16

70

36.5625

0.836935

0.300855

0

0.141089

0

1

0.222222

false

0

0.333333

0.111111

0.777778

0

null

0

1

0

null

0

1

0

1

0

5

b59ba779d08ef30198ce3eedd80248745e1f9083

174

py

Python

_input.py

9gress0r/Sudoku-Solver

5a24b706ebecf39253ab80bfe27db8b2dee8da42

[ "MIT" ]

null

_input.py

9gress0r/Sudoku-Solver

5a24b706ebecf39253ab80bfe27db8b2dee8da42

[ "MIT" ]

null

_input.py

9gress0r/Sudoku-Solver

5a24b706ebecf39253ab80bfe27db8b2dee8da42

[ "MIT" ]

null

def getting_input(): """ Gets input from user and implements it into an 2 dim array """ print('Enter a table:') return [list(map(int, list(input()))) for _ in range(9)]

24.857143

59

0.666667

29

174

3.931034

0.896552

0

0.013986

0.178161

174

6

60

29

0.783217

0.333333

0

0.132075

0

1

0.333333

true

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

a93a165c3989173202ca249b1801ca70c786cf8c

7,931

py

Python

tests/test_readcounter.py

housw/readcounter

d532ad8b98c546044a1447851db8ed9d82bd3372

[ "MIT" ]

null

tests/test_readcounter.py

housw/readcounter

d532ad8b98c546044a1447851db8ed9d82bd3372

[ "MIT" ]

261

2019-06-04T03:16:45.000Z

2022-03-31T18:33:23.000Z

tests/test_readcounter.py

housw/readcounter

d532ad8b98c546044a1447851db8ed9d82bd3372

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `readcounter` package.""" import os import pytest import traceback import subprocess from click.testing import CliRunner from readcounter import readcounter from readcounter import cli from readcounter import __version__ as version import pkgutil import pkg_resources @pytest.fixture(scope="module") def runner(): return CliRunner() def get_test_input_file(format='fq', compress_type='none'): if compress_type == 'none': input_file = pkg_resources.resource_filename(__name__, 'test_data/test.{suffix}'.format(suffix=format)) else: if format not in ('fasta', 'fq', 'fastq','sam', 'bam', 'fastqc'): raise cli.UsageError(message="only compressed fq files are available in the test folder!") input_file = pkg_resources.resource_filename(__name__, 'test_data/test.{suffix}.{compress}'.format(suffix=format, compress=compress_type)) return input_file def test_help(runner): """Test readcounter --help""" help_result = runner.invoke(cli.main, ['--help']) assert help_result.exit_code == 0 assert 'Show this message and exit.' \ in help_result.output def test_version(runner): """Test readcounter --version""" version_result = runner.invoke(cli.main, ['fasta', '--version']) assert version_result.exit_code == 0 assert 'readcounter, version {v}'.format(v=version) \ in version_result.output def test_plain_fasta_input(runner): input_file = get_test_input_file(format="fasta") output_dir = "./tests/test_results" output_prefix = "test_plain_fasta" result = runner.invoke(cli.main, ['fasta', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_gzip_fasta_input(runner): input_file = get_test_input_file(format="fasta", compress_type='gz') output_dir = "./tests/test_results" output_prefix = "test_gzip_fasta" result = runner.invoke(cli.main, ['fasta', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_plain_fastq_input(runner): input_file = get_test_input_file(format="fastq") output_dir = "./tests/test_results" output_prefix = "test_plain_fasta" result = runner.invoke(cli.main, ['fastq', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_gz_fq(runner): input_file = get_test_input_file(format='fq', compress_type='gz') output_dir = "./tests/test_results" output_prefix = "test_gz_fastq" result = runner.invoke(cli.main, ['fastq', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_bz2_fq(runner): input_file = get_test_input_file(format='fq', compress_type='bz2') output_dir = "./tests/test_results" output_prefix = "test_bz2_fastq" result = runner.invoke(cli.main, ['fastq', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_zip_fq(runner): input_file = get_test_input_file(format='fq', compress_type='zip') output_dir = "./tests/test_results" output_prefix = "test_zip_fastq" result = runner.invoke(cli.main, ['fastq', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'test : 250\n' def test_input_fastqc_folder(runner): input_file = pkg_resources.resource_filename(__name__, 'test_data/sample2_fastqc') output_dir = "./tests/test_results" output_prefix = "test_input_fastqc_folder" result = runner.invoke(cli.main, ['fastqc', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'sample2_fastqc : 12733986\n' def test_input_fastqc_zip(runner): input_file = pkg_resources.resource_filename(__name__, 'test_data/sample1_fastqc.zip') output_dir = "./tests/test_results" output_prefix = "test_input_fastqc_zip" result = runner.invoke(cli.main, ['fastqc', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() assert read_count == 'sample1_fastqc : 12733986\n' def test_input_bam_file(runner): input_file = pkg_resources.resource_filename(__name__, 'test_data/test.bam') input_count_file = pkg_resources.resource_filename(__name__, 'test_data/bam_read_number.txt') output_dir = "./tests/test_results" output_prefix = "test_input_bam_file" result = runner.invoke(cli.main, ['bam', '--output_dir', output_dir, '--prefix', output_prefix, '--force', input_file]) if result.exception: traceback.print_exception(*result.exc_info) assert result.exit_code == 0 output_file = os.path.join(output_dir, output_prefix + ".txt") read_count = open(output_file, 'r').read() ret_code = subprocess.check_call("diff {in_count} {out_count}".format(in_count=input_count_file, out_count=output_file), shell=True) assert ret_code == 0

41.093264

146

0.611903

938

7,931

4.850746

0.118337

0.071209

0.059341

0.050769

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0.753846

0.735385

0.708791

0.679121

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0.009288

0.266927

7,931

192

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41.307292

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0.056604

0

null

0

1

0

null

0

5

a9588271b9a570b56173e1ed5d53a04cee8df54c

107

py

Python

high_level.py

LokiTheGodOfBitchez/Lab_4

9de2bbfd3e438f9963a756dc88cd7f5de8eb4cf2

[ "MIT" ]

null

high_level.py

LokiTheGodOfBitchez/Lab_4

9de2bbfd3e438f9963a756dc88cd7f5de8eb4cf2

[ "MIT" ]

null

high_level.py

LokiTheGodOfBitchez/Lab_4

9de2bbfd3e438f9963a756dc88cd7f5de8eb4cf2

[ "MIT" ]

null

a = int(input("Enter number a: ")) b = int(input("Enter number b: ")) i = a % b j = b % a print(i * j + 1)

17.833333

34

0.523364

22

107

2.545455

0.454545

0.285714

0.464286

0.678571

0

0.0125

0.252336

107

5

35

21.4

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0

1

0

false

0

0.2

1

0

null

1

0

1

0

null

0

5

a970349a2b9ed324d26a73227934360bc4aec629

31

py

Python

datasets/femnist/__init__.py

ayush268/RecoEdge

b6554c646bae602704f44ae80571a4c319f90fd2

[ "Apache-2.0" ]

5

2022-02-27T17:01:17.000Z

2022-03-29T10:06:18.000Z

datasets/femnist/__init__.py

ayush268/RecoEdge

b6554c646bae602704f44ae80571a4c319f90fd2

[ "Apache-2.0" ]

16

2022-02-26T13:29:04.000Z

2022-03-29T08:20:01.000Z

datasets/femnist/__init__.py

ayush268/RecoEdge

b6554c646bae602704f44ae80571a4c319f90fd2

[ "Apache-2.0" ]

6

2022-03-04T14:53:11.000Z

2022-03-23T12:33:14.000Z

from . import femnist_processor

31

0.870968

4

31

6.5

1

0

0.096774

31

1

31

0.928571

0

1

0

true

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1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a9a016e7bb9b1c8ffe2dbfc9c8555219d01c8a33

168

py

Python

tcheasy/__init__.py

No9005/tcheasy

35dbf27ef00b4a6e17cd085eeda0868c83d354ef

[ "MIT" ]

null

tcheasy/__init__.py

No9005/tcheasy

35dbf27ef00b4a6e17cd085eeda0868c83d354ef

[ "MIT" ]

null

tcheasy/__init__.py

No9005/tcheasy

35dbf27ef00b4a6e17cd085eeda0868c83d354ef

[ "MIT" ]

null

""" Imports the decorator for easy imports """ from .type_check import tcheasy from .sort_parameters import sort_parameters as sorpa from .version import __version__

16.8

53

0.803571

23

168

5.565217

0.652174

0.21875

0

0.142857

168

10

54

16.8

0.888889

0.22619

0

1

0

true

0

1

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

8d28cfa38a3a1ab2362289323f92072ee91bca86

151

py

Python

tests/conftest.py

GabrielIFPB/flask-delivery

c46fe31103729cf67538052c9946448bde54f0b1

[ "MIT" ]

null

tests/conftest.py

GabrielIFPB/flask-delivery

c46fe31103729cf67538052c9946448bde54f0b1

[ "MIT" ]

null

tests/conftest.py

GabrielIFPB/flask-delivery

c46fe31103729cf67538052c9946448bde54f0b1

[ "MIT" ]

null

import pytest from delivery.app import create_app @pytest.fixture(scope='module') def app(): """Instance of main app flask""" return create_app()

15.1

35

0.735099

22

151

4.954545

0.681818

0.165138

0

0.139073

151

9

36

16.777778

0.838462

0.172185

0

0.050847

0

1

0.2

true

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8d76b8b176913ef51d25ec414fb354f6842e6cab

51

py

Python

winnow/utils/__init__.py

stepan-anokhin/VideoDeduplication

27d7726601ded654ac3710952baf989674aecf7e

[ "MIT" ]

1

2020-10-09T07:33:11.000Z

winnow/utils/__init__.py

stepan-anokhin/VideoDeduplication

27d7726601ded654ac3710952baf989674aecf7e

[ "MIT" ]

null

winnow/utils/__init__.py

stepan-anokhin/VideoDeduplication

27d7726601ded654ac3710952baf989674aecf7e

[ "MIT" ]

null

from .utils import * from .scene_detection import *

25.5

30

0.784314

7

51

5.571429

0.714286

0

0.137255

51

2

30

25.5

0.886364

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a5f352917a935e33323cf8ae659f3f6d96dd2e9f

171

py

Python

gerardozavala.py

Instituto-i2ds/repo-to-fork

459db8dc009830a8302df6b8bddd073d54a294b8

[ "Apache-2.0" ]

null

gerardozavala.py

Instituto-i2ds/repo-to-fork

459db8dc009830a8302df6b8bddd073d54a294b8

[ "Apache-2.0" ]

3

2020-10-02T22:26:50.000Z

2020-11-03T17:12:43.000Z

gerardozavala.py

Instituto-i2ds/repo-to-fork

459db8dc009830a8302df6b8bddd073d54a294b8

[ "Apache-2.0" ]

18

2020-09-08T03:47:19.000Z

2021-06-02T03:22:16.000Z

def generate_odd_nums(start, end): for num in range(start, end+1): if num % 2 !=0: print(num, end=" ") generate_odd_nums(start = 0, end = 15)

15.545455

38

0.561404

27

171

3.407407

0.592593

0.23913

0.326087

0.434783

0

0.05

0.298246

171

10

39

17.1

0.716667

0

1

0

0.005882

0

1

0.2

false

0

0.2

1

0

null

1

0

1

0

null

0

5

a5ff5d3b83c1f0a88d6afd19825e3c8b0af34023

90

py

Python

search/admin.py

RalXYZ/meow-search

74e9866184f98f808b042aa0ab92dde14561ca5d

[ "MIT" ]

2

2020-09-14T08:06:16.000Z

2021-03-20T09:57:20.000Z

search/admin.py

RalXYZ/meow-search

74e9866184f98f808b042aa0ab92dde14561ca5d

[ "MIT" ]

null

search/admin.py

RalXYZ/meow-search

74e9866184f98f808b042aa0ab92dde14561ca5d

[ "MIT" ]

null

from django.contrib import admin from .models import Result admin.site.register(Result)

15

32

0.811111

13

90

5.615385

0.692308

0

0.122222

90

5

33

18

0.924051

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5730a7099d9c6956ad6d66922199469d5d371a76

666

py

Python

tripaille/commands/cmd_expression.py

mboudet/python-tripal

c1d0128b16b7c0d3794e217993b053bf0fb64a71

[ "MIT" ]

3

2017-09-08T15:16:07.000Z

2019-07-18T12:00:18.000Z

tripaille/commands/cmd_expression.py

abretaud/python-tripal

9988f5a648a40be21d2ae553b2eda91c15fa881e

[ "MIT" ]

9

2018-04-21T14:33:50.000Z

2019-02-08T09:59:32.000Z

tripaille/commands/cmd_expression.py

abretaud/python-tripal

9988f5a648a40be21d2ae553b2eda91c15fa881e

[ "MIT" ]

2

2018-09-04T13:00:40.000Z

2018-12-04T14:59:33.000Z

import click from tripaille.commands.expression.add_biomaterial import cli as func0 from tripaille.commands.expression.add_expression import cli as func1 from tripaille.commands.expression.delete_biomaterials import cli as func2 from tripaille.commands.expression.get_biomaterials import cli as func3 from tripaille.commands.expression.get_biomaterials_tripal import cli as func4 from tripaille.commands.expression.sync_biomaterials import cli as func5 @click.group() def cli(): """Manage Tripal expressions""" pass cli.add_command(func0) cli.add_command(func1) cli.add_command(func2) cli.add_command(func3) cli.add_command(func4) cli.add_command(func5)

30.272727

78

0.831832

95

666

5.694737

0.284211

0.144177

0.232902

0.343808

0.295749

0.170055

0

0.019901

0.094595

666

21

79

31.714286

0.87728

0.037538

0

1

0.0625

true

0.0625

0.4375

0

0.5

0

null

0

1

0

null

0

1

0

5

93eb7ef9ca98517ed67265be6f8b215799d7ff6a

41

py

Python

python/smqtk/representation/detection_element/__init__.py

Purg/SMQTK

705a2b2979935ed129aac7db578571c4ae1343e7

[ "BSD-3-Clause" ]

1

2021-04-25T16:53:50.000Z

python/smqtk/representation/detection_element/__init__.py

Purg/SMQTK

705a2b2979935ed129aac7db578571c4ae1343e7

[ "BSD-3-Clause" ]

3

2021-09-08T02:17:49.000Z

2022-03-12T00:40:33.000Z

python/smqtk/representation/detection_element/__init__.py

Purg/SMQTK

705a2b2979935ed129aac7db578571c4ae1343e7

[ "BSD-3-Clause" ]

null

from ._interface import DetectionElement

20.5

40

0.878049

4

41

8.75

1

0

0.097561

41

1

41

0.945946

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9e1a227e73cf26bcacc43897fa9243fae3ae80a7

54

py

Python

Lib/test/test_compiler/testcorpus/32_func_global_nested.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/test_compiler/testcorpus/32_func_global_nested.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/test_compiler/testcorpus/32_func_global_nested.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

def foo(): global bar def bar(): pass

10.8

14

0.462963

7

54

3.571429

0.714286

0

0.425926

54

4

15

13.5

0.806452

0

1

0.5

true

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

f509f1601d30abf846226fcf6425485958e5d112

322

py

Python

craamvert/utils/julday.py

craam/craamvert

ce776346844c83037eb552bdbffb9d5b5c7c9b9d

[ "MIT" ]

null

craamvert/utils/julday.py

craam/craamvert

ce776346844c83037eb552bdbffb9d5b5c7c9b9d

[ "MIT" ]

null

craamvert/utils/julday.py

craam/craamvert

ce776346844c83037eb552bdbffb9d5b5c7c9b9d

[ "MIT" ]

1

2021-03-26T22:53:43.000Z

from datetime import datetime, timedelta def time(jd): return str((datetime(2001, 1, 1) + timedelta(seconds=jd)).time()) def date(jd): return str((datetime(2001, 1, 1) + timedelta(seconds=jd)).date()) def sec(sec): # return timedelta(seconds=sec).seconds * 1000 return timedelta(seconds=sec).seconds

21.466667

69

0.68323

45

322

4.888889

0.333333

0.290909

0.1

0.172727

0.681818

0.390909

0

0.059259

0.161491

322

14

70

23

0.755556

0.136646

0

1

0.428571

false

0

0.142857

0.428571

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f510092a9cfc9ff218af7edde62f1e13d748d456

72

py

Python

tmp/enable_call_recording.py

dtolb/docstring-extractor

f77ba4bc8e03eaa041eea92fdadf9442e6eb6ca6

[ "MIT" ]

null

tmp/enable_call_recording.py

dtolb/docstring-extractor

f77ba4bc8e03eaa041eea92fdadf9442e6eb6ca6

[ "MIT" ]

null

tmp/enable_call_recording.py

dtolb/docstring-extractor

f77ba4bc8e03eaa041eea92fdadf9442e6eb6ca6

[ "MIT" ]

null

# Example: Enable Call Recording api.enable_call_recording('c-callId')

24

37

0.791667

10

72

5.5

0.7

0.363636

0.690909

0

0.097222

72

2

38

36

0.846154

0.416667

0

0.205128

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

5

277e7e236d25e2134c2fc1858aebdb4c05bc12af

552

py

Python

utilitiespackage/utilitiespackage/tests/test_crypto.py

GDSLLC/utilities-package

52a3315bb56eb7592be82293f97aeeb3be5988e6

[ "MIT" ]

null

utilitiespackage/utilitiespackage/tests/test_crypto.py

GDSLLC/utilities-package

52a3315bb56eb7592be82293f97aeeb3be5988e6

[ "MIT" ]

null

utilitiespackage/utilitiespackage/tests/test_crypto.py

GDSLLC/utilities-package

52a3315bb56eb7592be82293f97aeeb3be5988e6

[ "MIT" ]

null

import sys import pytest from utilitiespackage.crypto import aes_encrypt, aes_decrypt @pytest.mark.skipif(sys.platform.startswith("darwin") == True, reason="mac has unsupported version of openssl") def test_aes_encrypt(): assert aes_decrypt(aes_encrypt("plaintext", "password"), "password") == b"plaintext" @pytest.mark.skipif(sys.platform.startswith("darwin") == True, reason="mac has unsupported version of openssl") def test_aes_decrypt(): assert aes_decrypt(b"U2FsdGVkX1/5WxdnwB9+rUwtU09n4/3Kp3HauNL1z94=", "password") == b"plaintext"

36.8

111

0.768116

71

552

5.84507

0.450704

0.096386

0.077108

0.091566

0.462651

0

0.024145

0.099638

552

14

112

39.428571

0.810865

0

0.222222

0

0.331522

0.07971

0

0.222222

1

0.222222

true

0.222222

0.333333

0

0.555556

0

null

0

null

0

1

0

1

0

5

27ad5d4d21013225060eb76ed34aaf5630fbdc90

23

py

Python

reservoir/__init__.py

saromanov/reservoir-sampling

e0021ee80c1c10ad1224483fbc4d335fa859f1a1

[ "MIT" ]

null

reservoir/__init__.py

saromanov/reservoir-sampling

e0021ee80c1c10ad1224483fbc4d335fa859f1a1

[ "MIT" ]

null

reservoir/__init__.py

saromanov/reservoir-sampling

e0021ee80c1c10ad1224483fbc4d335fa859f1a1

[ "MIT" ]

null

from .sampling import *

23

0.782609

3

23

6

1

0

0.130435

23

1

23

0.9

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

27dac4e370533b0a9988d3248a0a01384928988f

248

py

Python

identity/test.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

2

2019-02-15T16:04:19.000Z

2019-02-19T15:42:27.000Z

identity/test.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

null

identity/test.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

null

import os from Acquire.Service import login_to_service_account from Acquire.Service import create_return_value def run(args): status = 0 message = "TEST" return_value = create_return_value(status, message) return return_value

16.533333

55

0.762097

34

248

5.294118

0.529412

0.244444

0.2

0.266667

0

0.004951

0.185484

248

14

56

17.714286

0.886139

0

0.016194

0

1

0.125

false

0

0.375

0

0.625

0

null

1

0

null

0

1

0

1

0

5

27e1a67677d3d1564c33b7f5e2fb284858096d71

133

py

Python

__init__.py

greatwallet/cosypose

e72ce7d521ef61870daef267cbbe65aaebe9d24d

[ "MIT" ]

null

__init__.py

greatwallet/cosypose

e72ce7d521ef61870daef267cbbe65aaebe9d24d

[ "MIT" ]

null

__init__.py

greatwallet/cosypose

e72ce7d521ef61870daef267cbbe65aaebe9d24d

[ "MIT" ]

null

import os os.environ['MKL_NUM_THREADS'] = '1' os.environ['OMP_NUM_THREADS'] = '1' print("Setting OMP and MKL num threads to 1.")

26.6

47

0.691729

23

133

3.826087

0.521739

0.340909

0.295455

0

0.026549

0.150376

133

4

48

33.25

0.752212

0

0.534884

0

1

0

true

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

1

0

5

27e932a866f2d97ab0ec87bdb36384252305269d

92

py

Python

ex_4.py

joao-barabba/Exercicios_Python

ceddb0c99ed6b8b2b749c00f227dfc4b95224a85

[ "MIT" ]

null

ex_4.py

joao-barabba/Exercicios_Python

ceddb0c99ed6b8b2b749c00f227dfc4b95224a85

[ "MIT" ]

null

ex_4.py

joao-barabba/Exercicios_Python

ceddb0c99ed6b8b2b749c00f227dfc4b95224a85

[ "MIT" ]

null

def raizI(x,b): if b** 2>x: return b-1 return raizI (x,b+1) raizI(11,5)

18.4

26

0.48913

19

92

2.368421

0.526316

0.266667

0.311111

0

0.098361

0.336957

92

5

27

18.4

0.639344

0

1

0.2

false

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

fd72096d41e6792dc1db36e189ea0bfe84334019

42

py

Python

sandbox/format_string.py

daviddoret/pyxag

6884c7e100d28c3ce6273248caa40eaeab920bc5

[ "MIT" ]

1

2019-10-27T15:56:27.000Z

sandbox/format_string.py

daviddoret/pynag

6884c7e100d28c3ce6273248caa40eaeab920bc5

[ "MIT" ]

11

2019-11-04T18:21:16.000Z

2019-11-07T03:22:41.000Z

sandbox/format_string.py

daviddoret/pynag

6884c7e100d28c3ce6273248caa40eaeab920bc5

[ "MIT" ]

null

print('test {0} test {1}'.format('a','b'))

42

0.547619

8

42

2.875

0.875

0

0.051282

0.071429

42

1

42

0.538462

0

0.44186

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fdc2b7d0ba3519bd7924f9e47ec324389f870d12

64

py

Python

KonoPyUtil/soccer/__init__.py

KonoAnalytics/KonoPyUtil

9a5751962688dafd098ecc27f31b9ac689348efc

[ "Apache-2.0" ]

null

KonoPyUtil/soccer/__init__.py

KonoAnalytics/KonoPyUtil

9a5751962688dafd098ecc27f31b9ac689348efc

[ "Apache-2.0" ]

null

KonoPyUtil/soccer/__init__.py

KonoAnalytics/KonoPyUtil

9a5751962688dafd098ecc27f31b9ac689348efc

[ "Apache-2.0" ]

null

from .elo import get_elo_season, get_elo_match, validate_elo_df

32

63

0.859375

12

64

4.083333

0.666667

0.244898

0

0.09375

64

1

64

0.844828

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

fde2a3abb82b04877e7e6638582aa948521a6a2a

57

py

Python

paypalhttp/testutils/__init__.py

cameronmoten/paypalhttp_python

72609783230663b8e34c6f0384837db7b166c8f4

[ "MIT" ]

5

2020-04-25T01:07:23.000Z

2021-10-21T21:39:00.000Z

paypalhttp/testutils/__init__.py

cameronmoten/paypalhttp_python

72609783230663b8e34c6f0384837db7b166c8f4

[ "MIT" ]

3

2020-07-23T12:07:26.000Z

2021-12-01T18:45:36.000Z

paypalhttp/testutils/__init__.py

cameronmoten/paypalhttp_python

72609783230663b8e34c6f0384837db7b166c8f4

[ "MIT" ]

13

2020-03-03T02:35:50.000Z

2022-03-17T18:12:49.000Z

from paypalhttp.testutils.testharness import TestHarness

28.5

56

0.894737

6

57

8.5

0.833333

0

0.070175

57

1

57

0.962264

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8bfb308f55b44e46626e597611f36d1cadc97ca8

91

py

Python

wwwhero/exceptions.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

null

wwwhero/exceptions.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

2

2021-01-08T11:53:33.000Z

2021-09-23T07:04:20.000Z

wwwhero/exceptions.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

null

class LevelUpCooldownError(Exception): pass class MaxLevelError(Exception): pass

13

38

0.758242

8

91

8.625

0.625

0.376812

0

0.175824

91

6

39

15.166667

0.92

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

e3074e4be445f2548c93ce72ccdf2e703394f343

41

py

Python

desligar-computador.py

douglaspfeffer/brincandoComPython

57c3789c43d42b5da755458cf2a88e65bc81341a

[ "MIT" ]

null

desligar-computador.py

douglaspfeffer/brincandoComPython

57c3789c43d42b5da755458cf2a88e65bc81341a

[ "MIT" ]

null

desligar-computador.py

douglaspfeffer/brincandoComPython

57c3789c43d42b5da755458cf2a88e65bc81341a

[ "MIT" ]

null

import os os.system('shutdown /s /s 1')

10.25

29

0.658537

8

41

3.375

0.75

0

0.029412

0.170732

41

3

30

13.666667

0.764706

0

0.390244

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e32074949ff69f9249b9fefb34cb80afb02749c3

32

py

Python

stubbs/defs/wind.py

holy-crust/reclaimer

0aa693da3866ce7999c68d5f71f31a9c932cdb2c

[ "MIT" ]

null

stubbs/defs/wind.py

holy-crust/reclaimer

0aa693da3866ce7999c68d5f71f31a9c932cdb2c

[ "MIT" ]

null

stubbs/defs/wind.py

holy-crust/reclaimer

0aa693da3866ce7999c68d5f71f31a9c932cdb2c

[ "MIT" ]

null

from ...hek.defs.wind import *

16

31

0.65625

5

32

4.2

1

0

0.15625

32

1

32

0.777778

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e32da46b8c369c86d3377ee5a4bc2b5d1fa47efe

2,595

py

Python

test/test_timeslots.py

dfioravanti/opening_hours_python

fde9ef349932c6215d5ab9b5b49352dca9f8f1ce

[ "MIT" ]

null

test/test_timeslots.py

dfioravanti/opening_hours_python

fde9ef349932c6215d5ab9b5b49352dca9f8f1ce

[ "MIT" ]

null

test/test_timeslots.py

dfioravanti/opening_hours_python

fde9ef349932c6215d5ab9b5b49352dca9f8f1ce

[ "MIT" ]

null

from datetime import datetime import pytest import pytz from src.internals.timeslots import (Timeslot, ValidationError, prettify_timeslots) from .utils import load_data_results tz = pytz.timezone('GMT') def test_string_representation(): """ Test if the __str__ method returns the correct representation """ opening_string = "1 AM" opening_timestamp = int(datetime.strptime( f"1970-01-01 {opening_string}", "%Y-%m-%d %I %p").replace(tzinfo=tz).timestamp()) closing_string = "5 AM" closing_timestamp = int(datetime.strptime( f"1970-01-01 {closing_string}", "%Y-%m-%d %I %p").replace(tzinfo=tz).timestamp()) string = f"{opening_string} - {closing_string}" timeslot = Timeslot.from_timestamps( opening_timestamp=opening_timestamp, closing_timestamp=closing_timestamp) assert str(timeslot) == string opening_string = "1 AM" opening_timestamp = int(datetime.strptime( f"1970-01-01 {opening_string}", "%Y-%m-%d %I %p").replace(tzinfo=tz).timestamp()) closing_string = "1 AM" closing_timestamp = int(datetime.strptime( f"1970-01-01 {closing_string}", "%Y-%m-%d %I %p").replace(tzinfo=tz).timestamp()) string = f"{opening_string} - {closing_string}" timeslot = Timeslot.from_timestamps( opening_timestamp=opening_timestamp, closing_timestamp=closing_timestamp) assert str(timeslot) == string def test_one_day(): """ Test if the code works as intended when we have only one open day """ test_data, test_data_results = load_data_results(base_filename="one_day") for data, result in zip(test_data, test_data_results): assert prettify_timeslots(data) == result def test_two_days(): """ Test if the code works as intended when we have only two open days """ test_data, test_data_results = load_data_results(base_filename="two_days") for data, result in zip(test_data, test_data_results): assert prettify_timeslots(data) == result def test_full_days(): """ Test if the code works as intended when we having all days """ test_data, test_data_results = load_data_results(base_filename="seven_days") for data, result in zip(test_data, test_data_results): assert prettify_timeslots(data) == result def test_errors(): """ Test if errors are detected correctly """ test_data = load_data_results(base_filename="errors", only_data=True) for data in test_data: with pytest.raises(ValidationError): prettify_timeslots(data)

32.848101

89

0.688632

345

2,595

4.942029

0.226087

0.065689

0.042229

0.056305

0.743695

0.727859

0

0.017358

0.200771

2,595

78

90

33.269231

0.804725

0.112524

0

0.533333

0

0.127526

0

0.111111

1

0.111111

false

0

0.111111

0

0.222222

0

null

0

1

0

null

0

5

e3601e7a0d856474d8d27e216d406f389c76dfe5

447

py

Python

Scripts/__init__.py

MeRajat/DocProduct

0ccd542f0c2e1ec3b8fb543cffd19d47a2829c5a

[ "MIT" ]

3

2020-03-06T00:03:30.000Z

2020-05-25T03:51:15.000Z

Scripts/__init__.py

ibrahim85/Medical-Q-A-with-Deep-Language-Models

189ae54d2a64bb924ee50b3a88ae093341684123

[ "MIT" ]

2

2022-02-09T23:37:32.000Z

2022-02-10T01:16:59.000Z

Scripts/__init__.py

SeniorDev009/DocProduct

da959cf6f636cec1fece38178de7237f6efe412a

[ "MIT" ]

null

from Scripts.train_data_to_embedding import train_data_to_embedding from Scripts.train_embedding_to_gpt2_data import train_embedding_to_gpt2_data from Scripts.train_ffn import train_ffn from Scripts.train_bertffn import train_bertffn from Scripts.train_gpt2 import train_gpt2 from Scripts import tokenization from Scripts import loss from Scripts import metrics from Scripts import dataset from Scripts import models from Scripts import predictor

37.25

77

0.89038

69

447

5.478261

0.231884

0.320106

0.269841

0.10582

0.126984

0

0.009926

0.098434

447

11

78

40.636364

0.92804

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

e361a9fe665477ae76bd619b9fc2a9cf863ffd48

60

py

Python

app/apps/home/__init__.py

umbibio/babesia_dash_app

ccf8c435f80fb1fc299810fba4ccb09323e491cd

[ "MIT" ]

null

app/apps/home/__init__.py

umbibio/babesia_dash_app

ccf8c435f80fb1fc299810fba4ccb09323e491cd

[ "MIT" ]

null

app/apps/home/__init__.py

umbibio/babesia_dash_app

ccf8c435f80fb1fc299810fba4ccb09323e491cd

[ "MIT" ]

null

import apps.home.callbacks from apps.home.layouts import *

15

31

0.8

9

60

5.333333

0.666667

0.333333

0

0.116667

60

3

32

20

0.90566

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

e37fe49e8a36fc766b3d42fa6b3b03e76bceabb5

31

py

Python

clinicadl/utils/cli_param/__init__.py

Raelag0112/clinicadl

4b9508ea6bbe5498069b1d76ad2c3636f67e3184

[ "MIT" ]

25

2021-08-01T05:52:34.000Z

2022-03-22T04:18:01.000Z

clinicadl/utils/cli_param/__init__.py

Raelag0112/clinicadl

4b9508ea6bbe5498069b1d76ad2c3636f67e3184

[ "MIT" ]

82

2021-07-12T08:28:36.000Z

2022-03-02T16:12:04.000Z

clinicadl/utils/cli_param/__init__.py

Raelag0112/clinicadl

4b9508ea6bbe5498069b1d76ad2c3636f67e3184

[ "MIT" ]

12

2021-07-30T08:01:02.000Z

2022-03-14T11:45:03.000Z

from . import argument, option

15.5

30

0.774194

4

31

6

1

0

0.16129

31

1

31

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8b6fe2132c0c26b12eb3499c9c4e8d48a2f3182f

115

py

Python

textattack/commands/__init__.py

k-ivey/TextAttack

47d15acea90bf92e6a7f19200a59da29e74731e6

[ "MIT" ]

1

2020-12-04T18:05:44.000Z

textattack/commands/__init__.py

k-ivey/TextAttack

47d15acea90bf92e6a7f19200a59da29e74731e6

[ "MIT" ]

null

textattack/commands/__init__.py

k-ivey/TextAttack

47d15acea90bf92e6a7f19200a59da29e74731e6

[ "MIT" ]

null

from abc import ABC, abstractmethod from .textattack_command import TextAttackCommand from . import textattack_cli

28.75

49

0.86087

14

115

6.928571

0.571429

0

0.113043

115

3

50

38.333333

0.95098

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8bae66da8f724665e2ac7a2ccfcc31008fee2ab0

70

py

Python

sprint/tools_fq/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

44

2018-03-09T22:22:50.000Z

2021-09-15T09:40:54.000Z

sprint/tools_fq/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

30

2018-03-19T05:30:05.000Z

2022-01-21T06:54:45.000Z

sprint/tools_fq/__init__.py

jumphone/sprint

94a5e5450d73b357497fba11eef818c6cc8792aa

[ "MIT" ]

13

2018-06-30T10:07:02.000Z

2021-06-10T13:25:43.000Z

from cut import * from get_baseq_cutoff import * from maskfq import *

17.5

30

0.785714

11

70

4.818182

0.636364

0.377358

0

0.171429

70

3

31

23.333333

0.913793

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8bc990de46b934972e01f0c8538c107eb4320eae

10,589

py

Python

trove_tempest_plugin/tests/scenario/test_instance_actions.py

openstack/trove-tempest-plugin

5de39645ed4c5f12526863d1546769dce74fcb08

[ "Apache-2.0" ]

6

2018-08-02T12:10:56.000Z

2019-01-28T22:13:06.000Z

trove_tempest_plugin/tests/scenario/test_instance_actions.py

openstack/trove-tempest-plugin

5de39645ed4c5f12526863d1546769dce74fcb08

[ "Apache-2.0" ]

null

trove_tempest_plugin/tests/scenario/test_instance_actions.py

openstack/trove-tempest-plugin

5de39645ed4c5f12526863d1546769dce74fcb08

[ "Apache-2.0" ]

3

2018-03-05T22:33:17.000Z

2019-09-04T12:35:18.000Z

# Copyright 2020 Catalyst Cloud # # 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 the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from tempest import config from tempest.lib import decorators import testtools from trove_tempest_plugin.tests import constants from trove_tempest_plugin.tests.scenario import base_actions from trove_tempest_plugin.tests import utils CONF = config.CONF class InstanceActionsMySQLBase(base_actions.TestInstanceActionsBase): @classmethod def init_db(cls, ip, username=constants.DB_USER, password=constants.DB_PASS, database=constants.DB_NAME): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306/{database}' with utils.SQLClient(db_url) as db_client: cmds = [ "CREATE TABLE Persons (ID int, String varchar(255));", ] db_client.mysql_execute(cmds) def insert_data_upgrade(self, ip, username=constants.DB_USER, password=constants.DB_PASS, database=constants.DB_NAME): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306/{database}' with utils.SQLClient(db_url) as db_client: cmds = [ "insert into Persons VALUES (99, 'Upgrade');" ] db_client.mysql_execute(cmds) def verify_data_upgrade(self, ip, username=constants.DB_USER, password=constants.DB_PASS, database=constants.DB_NAME): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306/{database}' with utils.SQLClient(db_url) as db_client: cmd = "select * from Persons;" ret = db_client.mysql_execute(cmd) keys = ret.keys() rows = ret.fetchall() self.assertGreaterEqual(len(rows), 1) result = [] for index in range(len(rows)): result.append(dict(zip(keys, rows[index]))) expected = {'ID': 99, 'String': 'Upgrade'} self.assert_single_item(result, **expected) def insert_data_before_rebuild(self, ip, username=constants.DB_USER, password=constants.DB_PASS, database=constants.DB_NAME): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306/{database}' with utils.SQLClient(db_url) as db_client: cmds = [ "CREATE TABLE Rebuild (ID int, String varchar(255));", "insert into Rebuild VALUES (1, 'rebuild-data');" ] db_client.mysql_execute(cmds) def verify_data_after_rebuild(self, ip, username=constants.DB_USER, password=constants.DB_PASS, database=constants.DB_NAME): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306/{database}' with utils.SQLClient(db_url) as db_client: cmd = "select * from Rebuild;" ret = db_client.mysql_execute(cmd) keys = ret.keys() rows = ret.fetchall() self.assertEqual(1, len(rows)) actual = dict(zip(keys, rows[0])) expected = {'ID': 1, 'String': 'rebuild-data'} self.assertEqual(expected, actual) def get_db_version(self, ip, username=constants.DB_USER, password=constants.DB_PASS): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306' with utils.SQLClient(db_url) as db_client: cmd = "SELECT @@GLOBAL.innodb_version;" ret = db_client.mysql_execute(cmd) return ret.first()[0] def get_config_value(self, ip, option, username=constants.DB_USER, password=constants.DB_PASS): db_url = f'mysql+pymysql://{username}:{password}@{ip}:3306' with utils.SQLClient(db_url) as db_client: cmd = f"show variables where Variable_name in ('{option}');" ret = db_client.mysql_execute(cmd) rows = ret.fetchall() self.assertEqual(1, len(rows)) return int(rows[0][1]) class TestInstanceActionsMySQL(InstanceActionsMySQLBase): datastore = 'mysql' @decorators.idempotent_id("be6dd514-27d6-11ea-a56a-98f2b3cc23a0") @testtools.skipUnless( 'mysql' in CONF.database.pre_upgrade_datastore_versions, 'Datastore upgrade is disabled.') def test_instance_upgrade(self): self.instance_upgrade_test() @decorators.idempotent_id("27914e82-b061-11ea-b87c-00224d6b7bc1") def test_resize(self): self.resize_test() @decorators.idempotent_id("8d4d675c-d829-11ea-b87c-00224d6b7bc1") @testtools.skipUnless(CONF.database.rebuild_image_id, 'Image for rebuild not configured.') def test_rebuild(self): config_values = {"max_connections": 555} self.rebuild_test(config_values) class TestInstanceActionsMariaDB(InstanceActionsMySQLBase): datastore = 'mariadb' @decorators.idempotent_id("f7a0fef6-f413-11ea-a950-00224d6b7bc1") @testtools.skipUnless( 'mariadb' in CONF.database.pre_upgrade_datastore_versions, 'Datastore upgrade is disabled.') def test_instance_upgrade(self): self.instance_upgrade_test() @decorators.idempotent_id("fb89d402-f413-11ea-a950-00224d6b7bc1") def test_resize(self): self.resize_test() @decorators.idempotent_id("ff34768e-f413-11ea-a950-00224d6b7bc1") @testtools.skipUnless(CONF.database.rebuild_image_id, 'Image for rebuild not configured.') def test_rebuild(self): config_values = {"max_connections": 555} self.rebuild_test(config_values) class TestInstanceActionsPostgreSQL(base_actions.TestInstanceActionsBase): datastore = 'postgresql' create_user = False enable_root = True @classmethod def init_db(cls, ip): db_url = (f'postgresql+psycopg2://root:{cls.password}@' f'{ip}:5432/postgres') with utils.SQLClient(db_url) as db_client: cmd = "CREATE DATABASE testdb;" db_client.pgsql_execute(cmd) db_url = (f'postgresql+psycopg2://root:{cls.password}@' f'{ip}:5432/testdb') with utils.SQLClient(db_url) as db_client: cmds = [ "CREATE TABLE persons (id INT PRIMARY KEY NOT NULL, " "string VARCHAR(255));", ] db_client.pgsql_execute(cmds) def insert_data_upgrade(self, ip): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/testdb') with utils.SQLClient(db_url) as db_client: cmds = [ "insert into Persons VALUES (99, 'Upgrade');" ] db_client.pgsql_execute(cmds) def verify_data_upgrade(self, ip): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/testdb') with utils.SQLClient(db_url) as db_client: cmd = "select * from Persons;" ret = db_client.pgsql_execute(cmd) keys = ret.keys() rows = ret.fetchall() self.assertGreaterEqual(len(rows), 1) result = [] for index in range(len(rows)): result.append(dict(zip(keys, rows[index]))) expected = {'id': 99, 'string': 'Upgrade'} self.assert_single_item(result, **expected) def insert_data_before_rebuild(self, ip): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/testdb') with utils.SQLClient(db_url) as db_client: cmds = [ "CREATE TABLE Rebuild (ID int, String varchar(255));", "insert into Rebuild VALUES (1, 'rebuild-data');" ] db_client.pgsql_execute(cmds) def verify_data_after_rebuild(self, ip): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/testdb') with utils.SQLClient(db_url) as db_client: cmd = "select * from Rebuild;" ret = db_client.pgsql_execute(cmd) keys = ret.keys() rows = ret.fetchall() self.assertEqual(1, len(rows)) actual = dict(zip(keys, rows[0])) expected = {'id': 1, 'string': 'rebuild-data'} self.assertEqual(expected, actual) def get_db_version(self, ip, username=constants.DB_USER, password=constants.DB_PASS): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/postgres') with utils.SQLClient(db_url) as db_client: cmd = "SHOW server_version;" ret = db_client.pgsql_execute(cmd) version = ret.first()[0] return version.split(' ')[0] def get_config_value(self, ip, option): db_url = (f'postgresql+psycopg2://root:{self.password}@' f'{ip}:5432/postgres') with utils.SQLClient(db_url) as db_client: cmd = f"SELECT setting FROM pg_settings WHERE name='{option}';" ret = db_client.pgsql_execute(cmd) rows = ret.fetchall() self.assertEqual(1, len(rows)) return int(rows[0][0]) @decorators.idempotent_id("97f1e7ca-f415-11ea-a950-00224d6b7bc1") @testtools.skipUnless( 'postgresql' in CONF.database.pre_upgrade_datastore_versions, 'Datastore upgrade is disabled.') def test_instance_upgrade(self): self.instance_upgrade_test() @decorators.idempotent_id("9b940c00-f415-11ea-a950-00224d6b7bc1") def test_resize(self): self.resize_test() @decorators.idempotent_id("9ec5dd54-f415-11ea-a950-00224d6b7bc1") @testtools.skipUnless(CONF.database.rebuild_image_id, 'Image for rebuild not configured.') def test_rebuild(self): config_values = {"max_connections": 101} self.rebuild_test(config_values, config_need_restart=True)

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0.693156

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0.277363

10,589

265

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39.958491

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1

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null

0

1

0

5

8bd21dd8d00547d9c6b311aebb0210cf990d5280

3,583

py

Python

tests/test_typing_utils.py

adevore/djangorestframework-dataclasses

96d7b6c56b5321ae809a486e8962421dad566a7b

[ "BSD-3-Clause" ]

1

2021-12-12T04:23:17.000Z

tests/test_typing_utils.py

adevore/djangorestframework-dataclasses

96d7b6c56b5321ae809a486e8962421dad566a7b

[ "BSD-3-Clause" ]

null

tests/test_typing_utils.py

adevore/djangorestframework-dataclasses

96d7b6c56b5321ae809a486e8962421dad566a7b

[ "BSD-3-Clause" ]

null

import typing from unittest import TestCase from rest_framework_dataclasses import typing_utils class TypingTest(TestCase): def test_iterable(self): self.assertTrue(typing_utils.is_iterable_type(typing.Iterable[str])) self.assertTrue(typing_utils.is_iterable_type(typing.Collection[str])) self.assertTrue(typing_utils.is_iterable_type(typing.Mapping[str, int])) self.assertTrue(typing_utils.is_iterable_type(typing.Sequence[str])) self.assertTrue(typing_utils.is_iterable_type(typing.List[str])) self.assertTrue(typing_utils.is_iterable_type(typing.Dict[str, int])) self.assertTrue(typing_utils.is_iterable_type(typing.Set[str])) self.assertTrue(typing_utils.is_iterable_type(typing.Generator[str, int, int])) self.assertFalse(typing_utils.is_iterable_type(str)) self.assertFalse(typing_utils.is_iterable_type(bytes)) self.assertFalse(typing_utils.is_iterable_type(int)) self.assertFalse(typing_utils.is_iterable_type(TypingTest)) self.assertEqual(typing_utils.get_iterable_element_type(typing.Iterable[str]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Collection[str]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Mapping[str, int]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Sequence[str]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.List[str]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Dict[str, int]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Set[str]), str) self.assertEqual(typing_utils.get_iterable_element_type(typing.Generator[str, int, int]), str) with self.assertRaises(ValueError): typing_utils.get_iterable_element_type(str) def test_mapping(self): self.assertTrue(typing_utils.is_mapping_type(typing.Mapping[str, int])) self.assertTrue(typing_utils.is_mapping_type(typing.Dict[str, int])) self.assertFalse(typing_utils.is_mapping_type(str)) self.assertFalse(typing_utils.is_mapping_type(int)) self.assertFalse(typing_utils.is_mapping_type(TypingTest)) self.assertEqual(typing_utils.get_mapping_value_type(typing.Mapping[str, int]), int) self.assertEqual(typing_utils.get_mapping_value_type(typing.Dict[str, int]), int) with self.assertRaises(ValueError): typing_utils.get_mapping_value_type(str) def test_optional(self): self.assertTrue(typing_utils.is_optional_type(typing.Optional[str])) self.assertTrue(typing_utils.is_optional_type(typing.Union[str, None])) self.assertTrue(typing_utils.is_optional_type(typing.Union[str, typing.Optional[str]])) self.assertTrue(typing_utils.is_optional_type(typing.Union[str, typing.Union[str, None]])) self.assertFalse(typing_utils.is_optional_type(str)) self.assertFalse(typing_utils.is_optional_type(int)) self.assertFalse(typing_utils.is_optional_type(TypingTest)) self.assertEqual(typing_utils.get_optional_type(typing.Optional[str]), str) self.assertEqual(typing_utils.get_optional_type(typing.Union[str, None]), str) self.assertEqual(typing_utils.get_optional_type(typing.Union[str, typing.Optional[str]]), str) self.assertEqual(typing_utils.get_optional_type(typing.Union[str, typing.Union[str, None]]), str) with self.assertRaises(ValueError): typing_utils.get_optional_type(str)

55.984375

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5.432203

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0.121685

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0.890016

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0.724649

0.553042

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3,583

63

106

56.873016

0.828165

0

0.058824

0

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1

0.058824

false

0

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0

0.137255

0

null

0

1

0

null

0

1

0

5

8be7c45075fcf48aaa9b6aa7ba233ac4ee967f97

6,818

py

Python

future_years/test/test_columns_in_views.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

null

future_years/test/test_columns_in_views.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

6

2022-01-17T16:14:53.000Z

2022-03-30T08:31:56.000Z

future_years/test/test_columns_in_views.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

null

from django.urls import reverse from future_years.test.future_year_utils import FutureYearForecastSetup class ViewFutureForecastColumnTest(FutureYearForecastSetup): year_to_date_header = "Year to Date Actuals" budget_spent_to_date_header = "budget spent to date" def check_response(self, response): self.assertEqual(response.status_code, 200) self.assertContains(response, "govuk-table") self.assertNotContains(response, self.year_to_date_header) self.assertNotContains(response, self.budget_spent_to_date_header) def test_view_cost_centre_summary(self): response = self.client.get( reverse( "forecast_cost_centre", kwargs={ "cost_centre_code": self.cost_centre_code, "period": self.future_year, }, ), ) self.check_response(response) def test_view_directorate_summary(self): response = self.client.get( reverse( "forecast_directorate", kwargs={ "directorate_code": self.directorate_code, "period": self.future_year, }, ), ) self.check_response(response) def test_view_group_summary(self): response = self.client.get( reverse( "forecast_group", kwargs={ "group_code": self.group_code, "period": self.future_year, }, ) ) self.check_response(response) def test_view_dit_summary(self): response = self.client.get( reverse( "forecast_dit", kwargs={ "period": self.future_year, }, ) ) self.check_response(response) def test_view_cost_centre_nac_details(self): resp = self.client.get( reverse( "expenditure_details_cost_centre", kwargs={ "cost_centre_code": self.cost_centre_code, "expenditure_category": self.expenditure_category_id, "budget_type": self.budget_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_directory_nac_details(self): resp = self.client.get( reverse( "expenditure_details_directorate", kwargs={ "directorate_code": self.directorate_code, "expenditure_category": self.expenditure_category_id, "budget_type": self.budget_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_group_nac_details(self): resp = self.client.get( reverse( "expenditure_details_group", kwargs={ "group_code": self.group_code, "expenditure_category": self.expenditure_category_id, "budget_type": self.budget_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_dit_nac_details(self): resp = self.client.get( reverse( "expenditure_details_dit", kwargs={ "expenditure_category": self.expenditure_category_id, "budget_type": self.budget_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_directory_programme_details(self): resp = self.client.get( reverse( "programme_details_directorate", kwargs={ "directorate_code": self.directorate_code, "programme_code": self.programme_code, "forecast_expenditure_type": self.forecast_expenditure_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_group_programme_details(self): resp = self.client.get( reverse( "programme_details_group", kwargs={ "group_code": self.group_code, "programme_code": self.programme_code, "forecast_expenditure_type": self.forecast_expenditure_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_dit_programme_details(self): resp = self.client.get( reverse( "programme_details_dit", kwargs={ "programme_code": self.programme_code, "forecast_expenditure_type": self.forecast_expenditure_type_id, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_cost_Centre_project_details(self): resp = self.client.get( reverse( "project_details_costcentre", kwargs={ "cost_centre_code": self.cost_centre_code, "project_code": self.project_code, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_directory_project_details(self): resp = self.client.get( reverse( "project_details_directorate", kwargs={ "directorate_code": self.directorate_code, "project_code": self.project_code, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_group_project_details(self): resp = self.client.get( reverse( "project_details_group", kwargs={ "group_code": self.group_code, "project_code": self.project_code, "period": self.future_year, }, ), ) self.check_response(resp) def test_view_dit_project_details(self): resp = self.client.get( reverse( "project_details_dit", kwargs={ "project_code": self.project_code, "period": self.future_year, }, ), ) self.check_response(resp)

32.00939

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6,818

212

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1

0.084656

false

0

0.010582

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0.111111

0

null

0

1

0

1

0

null

0

5

473582ae68c96f851b69fe3b93d2174f39fb2dda

5,483

py

Python

switch5.py

SamMakesIt/pokedex

9605cc6fcf3b6d3fe9f3668f397d278b66990998

[ "Apache-2.0" ]

1

2022-03-19T04:04:15.000Z

switch5.py

SamMakesIt/pokedex

9605cc6fcf3b6d3fe9f3668f397d278b66990998

[ "Apache-2.0" ]

null

switch5.py

SamMakesIt/pokedex

9605cc6fcf3b6d3fe9f3668f397d278b66990998

[ "Apache-2.0" ]

null

import RPi.GPIO as GPIO from gpiozero import Button from signal import pause import subprocess import sys ## for the LCD screen import time import logging import spidev as SPI from lib import LCD_2inch4 from PIL import Image,ImageDraw,ImageFont button = Button(17) def open_dex_and_die(program, exit_code=0): # Start the dex subprocess.Popen(program) # close this script sys.exit(exit_code) button.when_released = open_dex_and_die(['python', 'objectident.py'])

161.264706

4,983

0.067664

75

5,483

4.813333

0.6

0.038781

0.055402

0.072022

0

0.012376

0.926318

5,483

33

4,984

166.151515

0.881188

0.009119

0

0.003687

0

1

0.066667

false

0

0.666667

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