xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

dc4985094df2dfd76c5bb7e016511ac0f65833c1

1,970

py

Python

test/cli_test.py

fi-ts/docker-make

e434ff783bd07cf2377bba36bf29528182af883d

[ "MIT" ]

2

2020-04-28T08:12:56.000Z

2021-06-19T00:59:16.000Z

test/cli_test.py

fi-ts/docker-make

e434ff783bd07cf2377bba36bf29528182af883d

[ "MIT" ]

5

2020-07-30T07:06:57.000Z

2021-04-20T09:44:23.000Z

test/cli_test.py

fi-ts/docker-make

e434ff783bd07cf2377bba36bf29528182af883d

[ "MIT" ]

2

2020-08-18T08:39:01.000Z

2021-04-20T13:24:18.000Z

import unittest import dockermake.cli class CliTest(unittest.TestCase): def test_parse_no_push(self): _, args = dockermake.cli.parse(['-n']) self.assertTrue(args.no_push) self.assertFalse(args.dry_run) self.assertFalse(args.purge) self.assertFalse(args.summary) self.assertEqual('.', args.work_dir) def test_parse_no_push_dry(self): _, args = dockermake.cli.parse(['-n', '-d']) self.assertTrue(args.no_push) self.assertTrue(args.dry_run) self.assertFalse(args.purge) self.assertFalse(args.summary) self.assertEqual('.', args.work_dir) def test_parse_no_push_dry_purge(self): _, args = dockermake.cli.parse(['-ndp']) self.assertTrue(args.no_push) self.assertTrue(args.dry_run) self.assertTrue(args.purge) self.assertFalse(args.summary) self.assertEqual('.', args.work_dir) def test_parse_no_push_dry_purge_summary(self): _, args = dockermake.cli.parse(['-n', '-d', '-p', '-s']) self.assertTrue(args.no_push) self.assertTrue(args.dry_run) self.assertTrue(args.purge) self.assertTrue(args.summary) self.assertEqual('.', args.work_dir) def test_parse_no_push_dry_purge_summary_workdir(self): _, args = dockermake.cli.parse(['-n', '-d', '-p', '-s', '-w', 'test']) self.assertTrue(args.no_push) self.assertTrue(args.dry_run) self.assertTrue(args.purge) self.assertTrue(args.summary) self.assertEqual('test', args.work_dir) def test_parse_additional_docker_build_args(self): _, args = dockermake.cli.parse(['--build-arg', 'A=42', '--build-arg', 'B=43']) self.assertTrue(isinstance(args.docker_build_args, list)) self.assertEqual(len(args.docker_build_args), 2) self.assertEqual(args.docker_build_args[0], 'A=42') self.assertEqual(args.docker_build_args[1], 'B=43')

37.169811

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0.646193

253

1,970

4.798419

0.173913

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0.207578

0.103789

0.80972

0.752059

0.631796

0.608731

0.559308

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0.205076

1,970

52

87

37.884615

0.768199

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false

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null

0

1

0

1

0

null

0

1

0

4

dc6617c8f46fe00c6cfcf8aa029a7799ad2aec03

202

py

Python

problems/uniq_unix_style.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/uniq_unix_style.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/uniq_unix_style.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

## uniq (UNIX style) ## 6 kyu ## https://www.codewars.com//kata/52249faee9abb9cefa0001ee import itertools def uniq(seq): # ans = [] return [list(g)[0] for k, g in itertools.groupby(seq)]

16.833333

59

0.643564

28

202

4.642857

0.857143

0

0.079755

0.193069

202

11

60

18.363636

0.717791

0.465347

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

null

0

1

0

1

0

4

dc6c60e78d1ee7037ee2cc65b9946dd2e0a75788

63

py

Python

aiowiki/__init__.py

Avaren/aiowiki

34f24bdcaedfd5da96cb6125714505945211287c

[ "MIT" ]

17

2019-02-04T18:46:59.000Z

2022-01-07T16:51:04.000Z

aiowiki/__init__.py

Avaren/aiowiki

34f24bdcaedfd5da96cb6125714505945211287c

[ "MIT" ]

6

2018-11-09T17:08:35.000Z

2021-02-21T14:52:59.000Z

aiowiki/__init__.py

Avaren/aiowiki

34f24bdcaedfd5da96cb6125714505945211287c

[ "MIT" ]

6

2019-03-19T13:46:07.000Z

2022-02-17T14:29:54.000Z

name = "aiowiki" from .wiki import * from .exceptions import *

15.75

25

0.714286

8

63

5.625

0.75

0

0.174603

63

3

26

21

0.865385

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false

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null

0

1

0

null

0

1

0

1

0

4

dc8eaf918656d95d9fdb0025833a6c9001130bbf

110

py

Python

Socket/Socket/udp/udp_unix_client.py

RolandBalabekyan1994/socket-socketserver

94ca247d1aa0e84b970d49b7e974e67932440b11

[ "MIT" ]

null

Socket/Socket/udp/udp_unix_client.py

RolandBalabekyan1994/socket-socketserver

94ca247d1aa0e84b970d49b7e974e67932440b11

[ "MIT" ]

null

Socket/Socket/udp/udp_unix_client.py

RolandBalabekyan1994/socket-socketserver

94ca247d1aa0e84b970d49b7e974e67932440b11

[ "MIT" ]

null

import socket sock = socket.socket(socket.AF_UNIX, socket.SOCK_DGRAM) sock.sendto(b"Message", 'unix.sock')

27.5

56

0.754545

17

110

4.764706

0.529412

0.246914

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0.1

110

4

57

27.5

0.818182

0

0.148148

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

4

dc9e2493501ce98e772dd2ee0b0420aaef252e8f

351

py

Python

chroma-agent/tests/plugins/fake_controller.py

GarimaVishvakarma/intel-chroma

fdf68ed00b13643c62eb7480754d3216d9295e0b

[ "MIT" ]

null

chroma-agent/tests/plugins/fake_controller.py

GarimaVishvakarma/intel-chroma

fdf68ed00b13643c62eb7480754d3216d9295e0b

[ "MIT" ]

null

chroma-agent/tests/plugins/fake_controller.py

GarimaVishvakarma/intel-chroma

fdf68ed00b13643c62eb7480754d3216d9295e0b

[ "MIT" ]

null

from chroma_agent.plugin_manager import DevicePlugin class FakeControllerDevicePlugin(DevicePlugin): def _read_config(self): import json return json.loads(open("/root/fake_controller.json").read()) def start_session(self): return self._read_config() def update_session(self): return self._read_config()

25.071429

68

0.7151

41

351

5.853659

0.560976

0.125

0.141667

0.175

0.258333

0

0.193732

351

13

69

27

0.848057

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0.222222

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1

0.333333

false

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1

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null

0

1

0

null

0

1

0

1

0

4

f4a7af01c06c90f90d27dc60c22110174e935696

109

py

Python

Elif Statement.py

yazhubal/Python-learning-basic

5d154e38bcbd5ba34a5457ff78d10e46ace5d089

[ "Unlicense" ]

null

Elif Statement.py

yazhubal/Python-learning-basic

5d154e38bcbd5ba34a5457ff78d10e46ace5d089

[ "Unlicense" ]

1

2019-09-26T10:13:24.000Z

Elif Statement.py

yazhubal/Python-learning-basic

5d154e38bcbd5ba34a5457ff78d10e46ace5d089

[ "Unlicense" ]

null

password = 'swordfish' if password == 'swordfish': print('acces granted') else: print('acces denied')

21.8

27

0.669725

12

109

6.083333

0.666667

0.465753

0

0.174312

109

5

28

21.8

0.811111

0

0.390909

0

1

0

false

0.4

0

0.4

1

0

null

1

0

1

0

null

0

1

0

4

f4c7e4b513e22c870fd6fff21d98337783848391

1,184

py

Python

scraper/models.py

alexpetralia/mbta_django

b68732d23c3c2450e3139db3a35bb7f3b63c1573

[ "MIT" ]

1

2016-02-03T00:36:21.000Z

scraper/models.py

alexpetralia/mbta_django

b68732d23c3c2450e3139db3a35bb7f3b63c1573

[ "MIT" ]

null

scraper/models.py

alexpetralia/mbta_django

b68732d23c3c2450e3139db3a35bb7f3b63c1573

[ "MIT" ]

null

from django.db import models import datetime class CompletedTrip(models.Model): trip_id = models.CharField(max_length=200) vehicle_id = models.CharField(max_length=200) direction = models.CharField(max_length=200) route = models.CharField(max_length=200) start_location = models.CharField(max_length=200) end_location = models.CharField(max_length=200) start_time = models.CharField(max_length=200) # datetimes must be stored as strings because Django ORM cannot query and return a postgres timestamp field without returning a Segmentation Fault end_time = models.CharField(max_length=200) duration = models.DurationField(default = datetime.timedelta(days=0)) def __str__(self): return "%s (%s): %s" % (self.route, self.direction, self.vehicle_id) class TripCount(models.Model): time = models.DateTimeField() count = models.IntegerField(default = 0) direction = models.CharField(max_length=200) route = models.CharField(max_length=200) def __str__(self): return "%s (%s): %s" % (self.route, self.direction, self.count) class apiStatus(models.Model): status = models.IntegerField(default = 0) def __str__(self): return "Current status: %s" % self.status

34.823529

193

0.766892

164

1,184

5.359756

0.359756

0.170648

0.204778

0.273038

0.505119

0.484642

0.25711

0

0.03167

0.119932

1,184

34

194

34.823529

0.8119

0.121622

0

0.28

0

0.038499

0

1

0.12

false

0

0.08

0.12

1

0

null

0

1

0

null

0

1

0

4

f4dc68911187f823f7eda26984b1d2d8bfe5c6e3

448

py

Python

Backend/bike-manager-be/emprestimo/ServicoEmprestimo.py

jpdarricarrere/Trabalho_Eng_Software

4a4929878890df312aea4c56dc6c2ce4c5532aa6

[ "MIT" ]

null

Backend/bike-manager-be/emprestimo/ServicoEmprestimo.py

jpdarricarrere/Trabalho_Eng_Software

4a4929878890df312aea4c56dc6c2ce4c5532aa6

[ "MIT" ]

null

Backend/bike-manager-be/emprestimo/ServicoEmprestimo.py

jpdarricarrere/Trabalho_Eng_Software

4a4929878890df312aea4c56dc6c2ce4c5532aa6

[ "MIT" ]

2

2022-03-20T18:16:45.000Z

2022-03-20T18:22:16.000Z

class ServicoEmprestimo(): def __init__(self): self._servico_bike = None def set_servico_bike(self, servico_bike): self._servico_bike = servico_bike def reserva_bike(self, id_bike): if self._servico_bike is None: raise('ServicoEmprestimo nao possui forma de chega em bikes. Verifique se uma referencia para o servico de bikes foi passada a ele.') self._servico_bike.aluga_bike(id_bike)

29.866667

145

0.700893

62

448

4.741935

0.516129

0.261905

0.255102

0.14966

0.139456

0

0.232143

448

14

146

32

0.854651

0

0.111111

0.277405

0

1

0.333333

false

0.111111

0

0.444444

0

null

1

0

null

0

1

0

1

0

4

f4ffe0394deab7261ea7d6b452c1fc52713b6d08

108

py

Python

src/the_impossible/LIVE_SERVER_CLEAN/notification.py

micha31r/The-Impossible

7a79dea3169907eb93107107f4003c5813de58dc

[ "MIT" ]

null

src/the_impossible/LIVE_SERVER_CLEAN/notification.py

micha31r/The-Impossible

7a79dea3169907eb93107107f4003c5813de58dc

[ "MIT" ]

2

2020-04-15T03:57:42.000Z

2020-06-06T01:43:34.000Z

src/the_impossible/LIVE_SERVER_CLEAN/notification.py

micha31r/The-Impossible

7a79dea3169907eb93107107f4003c5813de58dc

[ "MIT" ]

null

# Deletes all notifications from usermgmt.models import Notification Notification.objects.all().delete()

15.428571

40

0.805556

12

108

7.25

0.833333

0

0.111111

108

6

41

18

0.90625

0.231481

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5211cbd8113f7d4a20999ceb2e27087a36d8bd72

185

py

Python

Code/build/lib/PEWorld/objects/__init__.py

kasmith/btWorld

b3f47e8475e8cc62ed877056f1912dcf18537b5f

[ "MIT" ]

1

2019-03-09T07:51:15.000Z

Code/build/lib/PEWorld/objects/__init__.py

kasmith/btWorld

b3f47e8475e8cc62ed877056f1912dcf18537b5f

[ "MIT" ]

null

Code/build/lib/PEWorld/objects/__init__.py

kasmith/btWorld

b3f47e8475e8cc62ed877056f1912dcf18537b5f

[ "MIT" ]

null

__all__ = ['PEBox','PEPlane','PEMesh','BoxGoal','PEHingeJoint'] from objects import PEBox, PEPlane from meshobjs import PEMesh from goals import BoxGoal from joints import PEHingeJoint

30.833333

63

0.794595

23

185

6.217391

0.521739

0.167832

0

0.108108

185

6

64

30.833333

0.866667

0

0.198925

0

1

0

false

0

0.8

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

52128b4e46b3d5dc17f6dcfebde2379a30e2e519

275

py

Python

triplinker/journeys/migrations/0021_merge_20200916_1821.py

GonnaFlyMethod/triplinker

f4189e499ad48fd9102dd2211a8884078136eae9

[ "MIT" ]

null

triplinker/journeys/migrations/0021_merge_20200916_1821.py

GonnaFlyMethod/triplinker

f4189e499ad48fd9102dd2211a8884078136eae9

[ "MIT" ]

null

triplinker/journeys/migrations/0021_merge_20200916_1821.py

GonnaFlyMethod/triplinker

f4189e499ad48fd9102dd2211a8884078136eae9

[ "MIT" ]

null

# Generated by Django 3.0.8 on 2020-09-16 18:21 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('journeys', '0020_auto_20200916_1810'), ('journeys', '0020_auto_20200916_1651'), ] operations = [ ]

18.333333

48

0.650909

33

275

5.242424

0.787879

0.138728

0.184971

0.277457

0

0.221698

0.229091

275

14

49

19.642857

0.59434

0.163636

0

1

0

0.27193

0.201754

0

1

0

false

0

0.125

0

0.5

0

null

0

1

0

1

0

1

0

null

0

4

52225b57cc48677f3a6a009eba902e3be7987016

1,257

py

Python

tests/test_detector_en_US_social_security_number.py

datascopeanalytics/scrubadub

ab199f0b3cc3ca11f646aabb05ebe124d2757ea5

[ "Apache-2.0" ]

190

2015-12-03T01:31:36.000Z

2020-09-02T23:46:38.000Z

tests/test_detector_en_US_social_security_number.py

vishalbelsare/scrubadub

ab199f0b3cc3ca11f646aabb05ebe124d2757ea5

[ "Apache-2.0" ]

54

2020-09-10T14:46:14.000Z

2022-03-10T06:03:00.000Z

tests/test_detector_en_US_social_security_number.py

datascopeanalytics/scrubadub

ab199f0b3cc3ca11f646aabb05ebe124d2757ea5

[ "Apache-2.0" ]

57

2016-04-04T18:37:38.000Z

2020-08-18T22:59:03.000Z

import faker import unittest from scrubadub.filth import SocialSecurityNumberFilth from base import BaseTestCase class SSNTestCase(unittest.TestCase, BaseTestCase): def test_example(self): """ BEFORE: My social security number is 726-60-2033 AFTER: My social security number is {{SOCIAL_SECURITY_NUMBER}} """ self.compare_before_after() def test_hyphens(self): """ BEFORE: My social security number is 109-99-6000 AFTER: My social security number is {{SOCIAL_SECURITY_NUMBER}} """ self.compare_before_after() def test_dots(self): """ BEFORE: My social security number is 109.99.6000 AFTER: My social security number is {{SOCIAL_SECURITY_NUMBER}} """ self.compare_before_after() def test_spaces(self): """ BEFORE: My social security number is 109 99 6000 AFTER: My social security number is {{SOCIAL_SECURITY_NUMBER}} """ self.compare_before_after() def test_generate(self): fake = faker.Faker('en_US') faker.Faker.seed(4321) self.assertEqual( '818-09-2900', SocialSecurityNumberFilth.generate(faker=fake), )

27.326087

71

0.632458

144

1,257

5.368056

0.298611

0.217335

0.310479

0.227684

0.614489

0.570505

0

0.054144

0.280032

1,257

45

72

27.933333

0.8

0.358791

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0.25

false

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0.2

0

0.5

0

null

1

0

null

0

1

0

4

524a22127bc31653627822ef861db0207304bda5

123

py

Python

recursor/record/dictrecord.py

OaklandPeters/recursor

3a5eabd0b43e5ec2a66e6215a9bad70b4ab47c34

[ "MIT" ]

null

recursor/record/dictrecord.py

OaklandPeters/recursor

3a5eabd0b43e5ec2a66e6215a9bad70b4ab47c34

[ "MIT" ]

null

recursor/record/dictrecord.py

OaklandPeters/recursor

3a5eabd0b43e5ec2a66e6215a9bad70b4ab47c34

[ "MIT" ]

null

""" View type object, wraps around existing dict/mapping (likely nested), and provides convenient history/path access. """

24.6

69

0.764228

16

123

5.875

1

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0.130081

123

4

70

30.75

0.878505

0.926829

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

4

5266a1f4e4a245710a9baa0702447d9883ef87cd

648

py

Python

dist/Platform.app/Contents/Resources/lib/python3.7/wx/gizmos.py

njalloul90/Genomics_Oncology_Platform

9bf6d0edca5df783f4e371fa1bc46b7b1576fe70

[ "MIT" ]

6

2021-07-26T14:21:25.000Z

2021-07-26T14:32:01.000Z

dist/Platform.app/Contents/Resources/lib/python3.7/wx/gizmos.py

njalloul90/Genomics_Oncology_Platform

9bf6d0edca5df783f4e371fa1bc46b7b1576fe70

[ "MIT" ]

2

2021-12-10T10:25:19.000Z

2021-12-10T10:27:15.000Z

dist/Platform.app/Contents/Resources/lib/python3.7/wx/gizmos.py

njalloul90/Genomics_Oncology_Platform

9bf6d0edca5df783f4e371fa1bc46b7b1576fe70

[ "MIT" ]

1

2021-05-10T08:41:12.000Z

#--------------------------------------------------------------------------- # Name: wx/gizmos.py # Author: Robin Dunn # # Created: 27-Oct-2017 # Copyright: (c) 2017-2020 by Total Control Software # License: wxWindows License #--------------------------------------------------------------------------- # This is just a compatibility shim to make the gizmos classes usable from # the wx.gizmos module, like in Classic. They're actually in the wx.lib.gizmos # package now. # # This module is deprecated and could be removed some time in the future. Please # switch your imports to wx.lib.gizmos from wx.lib.gizmos import *

34.105263

80

0.544753

78

648

4.525641

0.705128

0.042493

0.093484

0

0.02583

0.16358

648

18

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36

0.625461

0.908951

0

1

0

true

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

5286f83f48bb1b150b7da1065bafc4a247018257

264

py

Python

peacecorps/peacecorps/templatetags/media.py

cmc333333/peacecorps-site

6779b9ac7a8f1013aaa4aa302ad78c992ea2b3e4

[ "CC0-1.0" ]

8

2015-01-06T15:38:12.000Z

2016-05-02T23:55:39.000Z

peacecorps/peacecorps/templatetags/media.py

cmc333333/peacecorps-site

6779b9ac7a8f1013aaa4aa302ad78c992ea2b3e4

[ "CC0-1.0" ]

61

2015-01-05T18:20:57.000Z

2016-01-28T22:08:03.000Z

peacecorps/peacecorps/templatetags/media.py

cmc333333/peacecorps-site

6779b9ac7a8f1013aaa4aa302ad78c992ea2b3e4

[ "CC0-1.0" ]

12

2015-02-04T21:15:41.000Z

2021-02-17T11:03:27.000Z

"""Wrap a path in the default media root. This is only needed for photos managed outside of the CMS""" from django.conf import settings from django_jinja import library @library.global_function def media(url): return getattr(settings, 'MEDIA_URL', '') + url

26.4

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null

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52889f957de95a2144553e6e562d34c76645e9e2

97

py

Python

astexport/__init__.py

patrick91/python-astexport

92e9b311b95681b36882a864fa7ded49e307f74b

[ "MIT" ]

25

2015-12-09T10:29:29.000Z

2022-02-28T11:19:13.000Z

astexport/__init__.py

patrick91/python-astexport

92e9b311b95681b36882a864fa7ded49e307f74b

[ "MIT" ]

5

2018-05-28T16:31:10.000Z

2020-03-20T14:21:53.000Z

astexport/__init__.py

patrick91/python-astexport

92e9b311b95681b36882a864fa7ded49e307f74b

[ "MIT" ]

6

2018-06-19T11:15:10.000Z

2022-02-28T11:27:29.000Z

from astexport.version import __version__ __prog_name__ = "astexport" __version__ = __version__

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528aa07d3f28c481f392c8724d51e45e6de8fbba

95

bzl

Python

internal_deps.bzl

fweikert/skydoc

246647b9d43a0d1960df236417df17755483b588

[ "Apache-2.0" ]

null

internal_deps.bzl

fweikert/skydoc

246647b9d43a0d1960df236417df17755483b588

[ "Apache-2.0" ]

null

internal_deps.bzl

fweikert/skydoc

246647b9d43a0d1960df236417df17755483b588

[ "Apache-2.0" ]

null

load("@bazel_federation//:repositories.bzl", "bazel") def skydoc_internal_deps(): bazel()

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null

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4

bfdcdebc4f7c73a4806dd806263fc7a52135ef2c

3,003

py

Python

try_parse/parse_tests.py

agorinenko/try-parse

ecf6d71b2b402d4396092345b9ac622864fb9e73

[ "MIT" ]

3

2019-11-27T10:14:03.000Z

2020-10-21T10:40:08.000Z

try_parse/parse_tests.py

agorinenko/try-parse

ecf6d71b2b402d4396092345b9ac622864fb9e73

[ "MIT" ]

null

try_parse/parse_tests.py

agorinenko/try-parse

ecf6d71b2b402d4396092345b9ac622864fb9e73

[ "MIT" ]

null

import unittest from datetime import date, datetime from decimal import Decimal from try_parse.utils import ParseUtils class Tests(unittest.TestCase): def test_try_parse_date(self): status, target = ParseUtils.try_parse_date('2018-11-23') self.assertTrue(status) self.assertIsInstance(target, date) self.assertEqual(target, date(2018, 11, 23)) # See format https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior status, target = ParseUtils.try_parse_date('23.11.2018', format='%d.%m.%Y') self.assertTrue(status) self.assertIsInstance(target, date) self.assertEqual(target, date(2018, 11, 23)) status, target = ParseUtils.try_parse_date('Invalid') self.assertFalse(status) self.assertIsNone(target) def test_try_parse_datetime(self): status, target = ParseUtils.try_parse_datetime('2018-11-23 01:45:59') self.assertTrue(status) self.assertIsInstance(target, datetime) self.assertEqual(target, datetime(2018, 11, 23, 1, 45, 59)) # See format https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior status, target = ParseUtils.try_parse_datetime('23.11.2018T01:45:59', format='%d.%m.%YT%H:%M:%S') self.assertTrue(status) self.assertIsInstance(target, datetime) self.assertEqual(target, datetime(2018, 11, 23, 1, 45, 59)) status, target = ParseUtils.try_parse_datetime('Invalid') self.assertFalse(status) self.assertIsNone(target) def test_try_parse_int(self): status, target = ParseUtils.try_parse_int('19') self.assertTrue(status) self.assertIsInstance(target, int) self.assertEqual(target, 19) status, target = ParseUtils.try_parse_int('Invalid') self.assertFalse(status) self.assertIsNone(target) def test_try_parse_float(self): status, target = ParseUtils.try_parse_float('19.00') self.assertTrue(status) self.assertIsInstance(target, float) self.assertEqual(target, 19.00) status, target = ParseUtils.try_parse_float('Invalid') self.assertFalse(status) self.assertIsNone(target) def test_try_parse_decimal(self): status, target = ParseUtils.try_parse_decimal('19.00') self.assertTrue(status) self.assertIsInstance(target, Decimal) self.assertEqual(target, Decimal(19)) status, target = ParseUtils.try_parse_decimal('Invalid') self.assertFalse(status) self.assertIsNone(target) def test_try_parse_bool(self): for p in ["yes", "true", "t", "1", 1]: status, target = ParseUtils.try_parse_bool(p) self.assertTrue(status) self.assertIsInstance(target, bool) self.assertTrue(target) status, target = ParseUtils.try_parse_bool('Invalid') self.assertFalse(status) self.assertIsNone(target)

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8749546a60191753751f4566ae41d416cd04bbb7

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py

Python

DailyLife/picOCR_toExcel/ExcelProcessing/__init__.py

Ayusummer/DailyNotes

af7d0c784eac4de28814eb89c8977f45334d6e62

[ "MIT" ]

2

2021-05-08T09:54:35.000Z

2021-09-11T06:54:16.000Z

DailyLife/picOCR_toExcel/ExcelProcessing/__init__.py

Ayusummer/DailyNotes

af7d0c784eac4de28814eb89c8977f45334d6e62

[ "MIT" ]

null

DailyLife/picOCR_toExcel/ExcelProcessing/__init__.py

Ayusummer/DailyNotes

af7d0c784eac4de28814eb89c8977f45334d6e62

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Time : 2021/5/13 22:53 # @Author : 咸鱼型233 # @File : __init__.py.py # @Software: PyCharm # @Function: # @ChangeLog

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874b705419cf395df3f79f2899e5d1923206a536

165

py

Python

src/Payload2Std.py

Hing9/Payload2Std-IDA

ffaaa903301cbc700667bd8052d3027e482d6601

[ "MIT" ]

null

src/Payload2Std.py

Hing9/Payload2Std-IDA

ffaaa903301cbc700667bd8052d3027e482d6601

[ "MIT" ]

null

src/Payload2Std.py

Hing9/Payload2Std-IDA

ffaaa903301cbc700667bd8052d3027e482d6601

[ "MIT" ]

null

from __future__ import print_function import idaapi def PLUGIN_ENTRY(): from Payload2Std.plugin import Payload2StdPlugin return Payload2StdPlugin()

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5e40d95adf747944de112cce11bfc7680b5c7138

15

py

Python

src/myapp/apps/__init__.py

JasonGiedymin/Flask-Module-Scaffold

b8d88bf81c0bca5f8f151ffd2d94ef339fe445c4

[ "BSD-3-Clause" ]

4

2015-09-09T23:57:54.000Z

2019-06-21T12:32:36.000Z

src/myapp/apps/__init__.py

JasonGiedymin/Flask-Module-Scaffold

b8d88bf81c0bca5f8f151ffd2d94ef339fe445c4

[ "BSD-3-Clause" ]

null

src/myapp/apps/__init__.py

JasonGiedymin/Flask-Module-Scaffold

b8d88bf81c0bca5f8f151ffd2d94ef339fe445c4

[ "BSD-3-Clause" ]

null

# Leave Empty #

15

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4

5e4f11a8a0fef4e9e5dd4b645d0aefb0cd6c996e

439

py

Python

polymers/poly_hgraph/__init__.py

siboehm/hgraph2graph

91d0dc763be1f9bc97e0c2473b0a00a058b4a9f9

[ "MIT" ]

null

polymers/poly_hgraph/__init__.py

siboehm/hgraph2graph

91d0dc763be1f9bc97e0c2473b0a00a058b4a9f9

[ "MIT" ]

null

polymers/poly_hgraph/__init__.py

siboehm/hgraph2graph

91d0dc763be1f9bc97e0c2473b0a00a058b4a9f9

[ "MIT" ]

null

from poly_hgraph.mol_graph import MolGraph from poly_hgraph.encoder import HierMPNEncoder from poly_hgraph.decoder import HierMPNDecoder from poly_hgraph.vocab import Vocab, PairVocab, common_atom_vocab from poly_hgraph.hgnn import HierVAE, HierVGNN, HierCondVGNN from poly_hgraph.dataset import ( MoleculeDataset, MolPairDataset, DataFolder, MolEnumRootDataset, ) from poly_hgraph.chemutils import find_fragments, get_mol

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5e8ab09f3e4164e0a24faab6e63ec27d06a9fb94

23

py

Python

proxySTAR_V3/certbot/venv.1509389747.bak/lib/python2.7/site-packages/pylint/test/functional/future_import.py

mami-project/lurk

98c293251e9b1e9c9a4b02789486c5ddaf46ba3c

[ "Apache-2.0" ]

2

2017-07-05T09:57:33.000Z

2017-11-14T23:05:53.000Z

Libraries/Python/pylint/v1.4.4/pylint/test/functional/future_import.py

davidbrownell/Common_Environment

4015872aeac8d5da30a6aa7940e1035a6aa6a75d

[ "BSL-1.0" ]

1

2019-01-17T14:26:22.000Z

2019-01-17T22:56:26.000Z

Libraries/Python/pylint/v1.4.4/pylint/test/functional/future_import.py

davidbrownell/Common_Environment

4015872aeac8d5da30a6aa7940e1035a6aa6a75d

[ "BSL-1.0" ]

1

2017-08-31T14:33:03.000Z

"""a docstring"""

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5eacd7132e9640d00adac17dd7d9eef7046e867a

4,248

py

Python

User/migrations/0001_initial.py

orik3ll0/generate_Csv

49902b1ddbe341e8c65fc453bfb0b5d807de1563

[ "MIT" ]

null

User/migrations/0001_initial.py

orik3ll0/generate_Csv

49902b1ddbe341e8c65fc453bfb0b5d807de1563

[ "MIT" ]

null

User/migrations/0001_initial.py

orik3ll0/generate_Csv

49902b1ddbe341e8c65fc453bfb0b5d807de1563

[ "MIT" ]

null

# Generated by Django 3.2.5 on 2021-07-15 15:17 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='InputType', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_update', models.DateTimeField(auto_now_add=True)), ('status', models.IntegerField(default=1)), ], ), migrations.CreateModel( name='Separator', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50)), ('prefix', models.CharField(max_length=50)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_update', models.DateTimeField(auto_now_add=True)), ('status', models.IntegerField(default=1)), ], ), migrations.CreateModel( name='StringCharacter', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50)), ('prefix', models.CharField(max_length=50)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_update', models.DateTimeField(auto_now_add=True)), ('status', models.IntegerField(default=1)), ], ), migrations.CreateModel( name='SchemaColumn', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('columnName', models.CharField(max_length=150)), ('from_int', models.IntegerField(blank=True, null=True)), ('to_int', models.IntegerField(blank=True, null=True)), ('sentence', models.IntegerField(blank=True, null=True)), ('order', models.IntegerField(default=0)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_update', models.DateTimeField(auto_now_add=True)), ('status', models.IntegerField(default=1)), ('type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='User.inputtype')), ], ), migrations.CreateModel( name='Schema', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('schemaTitle', models.CharField(max_length=150)), ('user_id', models.IntegerField()), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_update', models.DateTimeField(auto_now_add=True)), ('status', models.IntegerField(default=1)), ('schemaColumns', models.ManyToManyField(blank=True, to='User.SchemaColumn')), ('separator', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='User.separator')), ('stringCharacter', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='User.stringcharacter')), ], ), migrations.CreateModel( name='Generated_csv', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('row', models.IntegerField()), ('status', models.CharField(max_length=50)), ('path', models.CharField(blank=True, max_length=255, null=True)), ('date_created', models.DateTimeField(auto_now_add=True)), ('schema_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='User.schema')), ], ), ]

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py

Python

src/pycus/__main__.py

moshez/pycus

d1615b1cf73b376d80c148a53be938eb11b81541

[ "MIT" ]

null

src/pycus/__main__.py

moshez/pycus

d1615b1cf73b376d80c148a53be938eb11b81541

[ "MIT" ]

12

2020-08-02T04:37:36.000Z

2022-01-30T02:08:05.000Z

src/pycus/__main__.py

moshez/pycus

d1615b1cf73b376d80c148a53be938eb11b81541

[ "MIT" ]

null

from . import commands if __name__ != "__main__": raise ImportError("This module should not be imported") commands.main_command.run()

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py

Python

pyapprox/models/test_datafunction_model.py

ConnectedSystems/pyapprox

4f405654c707cba83d211f327c0f0fdbc95efa29

[ "MIT" ]

26

2019-12-16T02:21:15.000Z

2022-03-17T09:59:18.000Z

pyapprox/models/test_datafunction_model.py

ConnectedSystems/pyapprox

4f405654c707cba83d211f327c0f0fdbc95efa29

[ "MIT" ]

9

2020-03-03T03:04:55.000Z

2021-08-19T22:50:42.000Z

pyapprox/models/test_datafunction_model.py

ConnectedSystems/pyapprox

4f405654c707cba83d211f327c0f0fdbc95efa29

[ "MIT" ]

7

2020-03-02T03:49:17.000Z

2021-02-17T02:07:53.000Z

import unittest import numpy as np from pyapprox.models.wrappers import DataFunctionModel class ModelWithCounter(object): def __init__(self): self.counter=0 def __call__(self,samples): self.counter+=samples.shape[1] return np.sum(samples**2,axis=0)[:,np.newaxis] class TestDataFunctionModel(unittest.TestCase): def test_empty_initial_data_do_not_use_hash(self): num_vars=2 num_samples=10 submodel=ModelWithCounter() model = DataFunctionModel(submodel,None,use_hash=False) samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) values = model(samples) values = model(samples) assert submodel.counter==num_samples assert np.allclose(values,submodel(samples)) new_samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) I = np.random.permutation(2*num_samples)[:num_samples+num_samples//2] samples = np.hstack( (samples,new_samples))[:,I] counter = submodel.counter values = model(samples) assert submodel.counter==np.where(I>=num_samples)[0].shape[0]+counter assert np.allclose(values,submodel(samples)) def test_empty_initial_data_use_hash(self): num_vars=2 num_samples=10 submodel=ModelWithCounter() model = DataFunctionModel(submodel,None) samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) values = model(samples) values = model(samples) assert submodel.counter==num_samples assert np.allclose(values,submodel(samples)) new_samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) I = np.random.permutation(2*num_samples)[:num_samples+num_samples//2] samples = np.hstack( (samples,new_samples))[:,I] counter = submodel.counter values = model(samples) assert submodel.counter==np.where(I>=num_samples)[0].shape[0]+counter assert np.allclose(values,submodel(samples)) def test_initial_data(self): num_vars=2 num_samples=10 submodel=ModelWithCounter() samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) values = submodel(samples) model = DataFunctionModel(submodel,(samples,values)) submodel.counter=0 values = model(samples) assert submodel.counter==0 assert np.allclose(values,submodel(samples))# increments counter new_samples = np.random.uniform(-1.,1.,(num_vars,num_samples)) I = np.random.permutation(2*num_samples)[:num_samples+num_samples//2] samples = np.hstack( (samples,new_samples))[:,I] counter = submodel.counter values = model(samples) assert submodel.counter==np.where(I>=num_samples)[0].shape[0]+counter assert np.allclose(values,submodel(samples))# increments counter if __name__== "__main__": data_function_model_test_suite=unittest.TestLoader().loadTestsFromTestCase( TestDataFunctionModel) unittest.TextTestRunner(verbosity=2).run(data_function_model_test_suite)

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py

Python

5 Python Projects in 5 mins/Figlet.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

5

2021-01-19T18:32:13.000Z

2021-05-03T05:19:11.000Z

5 Python Projects in 5 mins/Figlet.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

null

5 Python Projects in 5 mins/Figlet.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

2

2021-05-22T13:35:51.000Z

2021-08-31T07:05:32.000Z

# import pyfiglet module import pyfiglet result = pyfiglet.figlet_format("Sai Ashish", font = "slant") print(result)

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1

0

1

0

null

0

1

0

4

0d85982226b16dae26e630785d3d4d131cf804a0

10,110

py

Python

api/util/paylib/alipayapi.py

edisonlz/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

285

2019-12-23T09:50:21.000Z

2021-12-08T09:08:49.000Z

api/util/paylib/alipayapi.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

null

api/util/paylib/alipayapi.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

9

2019-12-23T12:59:25.000Z

2022-03-15T05:12:11.000Z

# -*- coding: utf-8 -*- import urllib import hashlib import urllib2 import logging import os,sys import base64 from datetime import datetime import json import logging import urllib class AliPayConfig(object): """ 支付宝公共配置 """ APP_ID = '' #appid precreate_GATEWAY="https://openapi.alipay.com/gateway.do?" SIGN_TYPE = "RSA" INPUT_CHARSTE = "utf-8" KEY = '' #支付宝密钥 SELLER_ID = ""#支付宝账号 PARTNER = "" #合伙人id ALI_SERVICE_PATH = "https://mapi.alipay.com/gateway.do" NOTIFY_URL = "" #支付成功回调地址 class AliPayBase(object): """ 支付宝api 基类 """ def get_sign(self, para_str, sign_type="RSA2"): #对参数排序 import OpenSSL ############################################### # 这里需要支付宝支付私钥文件 # ############################################### root = os.path.realpath(os.path.dirname(__file__)) ali_private_path = os.path.join(root, "ali_private2048.txt") private_key = OpenSSL.crypto.load_privatekey(OpenSSL.crypto.FILETYPE_PEM, open(ali_private_path).read()) import sys reload(sys) sys.setdefaultencoding('utf-8') #这三句：解决签名方法编码报错 sign = base64.encodestring(OpenSSL.crypto.sign(private_key, para_str, 'sha256')) return sign def create_request_data(self): raise NotImplementedError def post_data(self): """ 标准post 可以自己实现 ,需要定义 self.create_request_data() """ data = self.create_request_data() try: result = urllib2.urlopen( AliPayConfig.ALI_SERVICE_PATH, data=urllib.urlencode(data)).read() except Exception, e: logging.error("post data error %s %s" % (data['service'],e)) return result def params_to_query(self,params): """ 生成需要签名的字符串 :param params: :return: """ """ :param params: :return: """ query = "" dict_items = {} for key, value in params.items(): if isinstance(value, dict) == True: dict_items[key] = value params[key] = "%s" all_str = '' for key in sorted(params.keys()): #把参数按key值排序：这是支付宝下单请求的参数格式规定 all_str = all_str + '%s=%s&' % (key, params[key]) all_str = all_str.rstrip('&') biz_content_dict = dict_items['biz_content'] content_str = '' for key in sorted(biz_content_dict.keys()): if isinstance(biz_content_dict[key], basestring) == True: content_str = content_str + '"%s":"%s",' % (key, biz_content_dict[key]) else: content_str = content_str + '"%s":%s,' % (key, biz_content_dict[key]) content_str = content_str.rstrip(',') content_str = '{' + content_str + '}' query = all_str % content_str return query class AliPayDoWebPay(AliPayBase): """ 支付宝下单接口封装 doc https://docs.open.alipay.com/270/105900/ """ def __init__(self, orderid, goodsName, goodsPrice): self.notify_url = AliPayConfig.NOTIFY_URL self.precreate_GATEWAY = "https://openapi.alipay.com/gateway.do?" self.orderid = orderid self.goodsName = goodsName self.goodsPrice = goodsPrice #获取二维码url def getAlipayUrl(self): # 构建公共参数 import requests params = {} params['method'] = 'alipay.trade.page.pay' params['version'] = '1.0' params['app_id'] = AliPayConfig.APP_ID params['timestamp'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S') params['charset'] = 'utf-8' params['notify_url'] = self.notify_url params['sign_type'] = 'RSA2' # 构建订单参数 biz_content = {} biz_content['out_trade_no'] = self.orderid # 订单号 biz_content['qr_pay_mode'] = "2" biz_content['subject'] = self.goodsName #商品名 biz_content['product_code'] = 'FAST_INSTANT_TRADE_PAY' biz_content['total_amount'] = self.goodsPrice # 价格 params['biz_content'] = biz_content #由参数，生成签名，并且拼接得到下单参数字符串 encode_params = self.make_payment_request(params) #下单 url = self.precreate_GATEWAY + encode_params response = requests.get(url) #提取下单响应 body = response.text #解析下单响应json字符串 return body #1：生成下单请求参数字符串 def make_payment_request(self,params_dict): """ 构造支付请求参数 :param params_dict: :return: """ query_str = self.params_to_query(params_dict) # 拼接参数字符串 sign = self.make_sign(query_str) # 生成签名 sign = urllib.quote(sign, safe='') #解决中文参数编码问题 res = "%s&sign=%s" % (query_str, sign) return res def make_sign(self,para_str): """ 生成签名 :param message: :return: """ import OpenSSL ############################################### # 这里需要支付宝支付私钥文件 # ############################################### root = os.path.realpath(os.path.dirname(__file__)) ali_private_path = os.path.join(root, "ali_private2048.txt") private_key = OpenSSL.crypto.load_privatekey(OpenSSL.crypto.FILETYPE_PEM, open(ali_private_path).read()) import sys reload(sys) sys.setdefaultencoding('utf-8') #这三句：解决签名方法编码报错 sign = base64.encodestring(OpenSSL.crypto.sign(private_key, para_str, 'sha256')) return sign class AliPayDoAppPay(AliPayBase): """ 支付宝下单接口封装 doc https://docs.open.alipay.com/270/105900/ """ def __init__(self, orderid, goodsName, goodsPrice): self.notify_url = AliPayConfig.NOTIFY_URL self.precreate_GATEWAY = "https://openapi.alipay.com/gateway.do?" self.orderid = orderid self.goodsName = goodsName self.goodsPrice = goodsPrice #获取二维码url def do_pay_params(self): # 构建公共参数 import requests params = {} params['method'] = 'alipay.trade.app.pay' params['version'] = '1.0' params['app_id'] = AliPayConfig.APP_ID params['timestamp'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S') params['charset'] = 'utf-8' params['notify_url'] = self.notify_url params['sign_type'] = 'RSA2' params['format'] = 'json' # 构建订单参数 biz_content = {} biz_content["timeout_express"] = "30m" biz_content['out_trade_no'] = self.orderid # 订单号 biz_content['subject'] = self.goodsName #商品名 biz_content['body'] = self.goodsName #商品名 biz_content['product_code'] = 'QUICK_MSECURITY_PAY' biz_content['total_amount'] = self.goodsPrice # 价格 params['biz_content'] = biz_content encode_params = self.make_payment_request(params) return encode_params #1：生成下单请求参数字符串 def make_payment_request(self,params_dict): """ 构造支付请求参数 :param params_dict: :return: """ import copy query_str = self.params_to_query(copy.deepcopy(params_dict),) # 拼接参数字符串 sign = self.make_sign(query_str) # 生成签名 query_str = self.params_to_query(copy.deepcopy(params_dict),quote=True) res = "%s&sign=%s" % (query_str, urllib.quote(str(sign))) return res def params_to_query(self,params,quote=False): """ 生成需要签名的字符串 :param params: :return: """ """ :param params: :return: """ query = "" dict_items = {} for key, value in params.items(): if isinstance(value, dict) == True: dict_items[key] = value params[key] = "%s" all_str = '' for key in sorted(params.keys()): #把参数按key值排序：这是支付宝下单请求的参数格式规定 if quote: if key not in dict_items: all_str = all_str + '%s=%s&' % (key, urllib.quote(params[key])) else: all_str = all_str + '%s=%s&' % (key, params[key]) else: all_str = all_str + '%s=%s&' % (key, params[key]) all_str = all_str.rstrip('&') biz_content_dict = dict_items['biz_content'] content_str = '' for key in sorted(biz_content_dict.keys()): if isinstance(biz_content_dict[key], basestring) == True: content_str = content_str + '"%s":"%s",' % (key, biz_content_dict[key]) else: content_str = content_str + '"%s":%s,' % (key, biz_content_dict[key]) content_str = content_str.rstrip(',') content_str = '{' + content_str + '}' if quote: query = all_str.replace("%s",urllib.quote(str(content_str))) else: query = all_str % content_str return query def make_sign(self,para_str): """ 生成签名 :param message: :return: """ import OpenSSL root = os.path.realpath(os.path.dirname(__file__)) ali_private_path = os.path.join(root, "ali_private2048.txt") # print ali_private_path #把私钥存到一个文件里，加载出来【尝试过用rsa模块的方法加载私钥字符串，会报格式错误。查看源码得知，需要从文件流加载】 private_key = OpenSSL.crypto.load_privatekey(OpenSSL.crypto.FILETYPE_PEM, open(ali_private_path).read()) import sys reload(sys) sys.setdefaultencoding('utf-8') #这三句：解决签名方法编码报错 sign = base64.encodestring(OpenSSL.crypto.sign(private_key, para_str, 'sha256')) return sign class AliPayVerifyNotice(AliPayBase): """ 支付宝通知结果验证 """ def __init__(self, notice_params): self.service = 'notify_verify' self.notice_params = notice_params def verify_sign(self): query_str = self.params_to_query(notice_params) server_sign = self.get_sign(query_str) client_sign = self.notice_params.get("sign") return server_sign == client_sign

27.104558

112

0.561227

1,098

10,110

4.937158

0.193078

0.053496

0.026379

0.011806

0.744697

0.731599

0.706512

0.667958

0.645453

0.625899

0

0.009618

0.300692

10,110

372

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27.177419

0.757143

0.047082

0

0.654639

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null

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null

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null

0

1

0

1

0

null

0

1

0

4

0d9a9b26e7073de8676c3a211d324b1ab21593cd

283

py

Python

bubble_sort.py

iabudanov/Algorithms_and_DataStructures

d2244f1e8db829ab566b494b8fe8399fca63a7b8

[ "MIT" ]

1

2019-02-24T14:20:17.000Z

bubble_sort.py

iabudanov/Algorithms_and_DataStructures

d2244f1e8db829ab566b494b8fe8399fca63a7b8

[ "MIT" ]

null

bubble_sort.py

iabudanov/Algorithms_and_DataStructures

d2244f1e8db829ab566b494b8fe8399fca63a7b8

[ "MIT" ]

null

def bubble_sort(int_list): for i in range(0, len(int_list)): if (i == 0): pass elif int_list[i] < int_list[i-1]: int_list[i], int_list[i-1] = int_list[i-1], int_list[i] print('lol') print(int_list) print(int_list)

25.727273

67

0.522968

47

283

2.914894

0.361702

0.510949

0.350365

0.19708

0.372263

0.306569

0

0.026316

0.328622

283

10

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false

0.111111

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0.333333

0

null

1

0

null

0

1

0

4

0da876d446bc61ffb3488ca44081d936ae371044

422

py

Python

home/models.py

sapiendraft/superburguerDEMO

a2bfd8bc2e0c8025750ff428782165751684faab

[ "Apache-2.0" ]

null

home/models.py

sapiendraft/superburguerDEMO

a2bfd8bc2e0c8025750ff428782165751684faab

[ "Apache-2.0" ]

1

2022-01-21T22:40:44.000Z

home/models.py

sapiendraft/superburguerDEMO

a2bfd8bc2e0c8025750ff428782165751684faab

[ "Apache-2.0" ]

null

from django.db import models # main page posts class IndexCards(models.Model): id = models.AutoField(primary_key=True) title = models.CharField(max_length=64) paragraph = models.CharField(max_length=256) observation = models.CharField(max_length=128) image_link = models.CharField(max_length=512) reference_link = models.CharField(max_length=512) def __str__(self): return self.title

30.142857

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0.739336

56

422

5.357143

0.589286

0.25

0.3

0.4

0.206667

0

0.039773

0.165877

422

14

54

30.142857

0.8125

0.035545

0

1

0.1

false

0

0.1

1

0

null

1

0

null

0

1

0

4

0df7fda4e2f2a59db80d37c4fe6a570c0f614782

1,188

py

Python

problems/exercism/space-age/space_age.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

problems/exercism/space-age/space_age.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

problems/exercism/space-age/space_age.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

class SpaceAge: EARTH_PERIOD = 31557600 MERCURY_PERIOD = 0.2408467 * EARTH_PERIOD VENUS_PERIOD = 0.61519726 * EARTH_PERIOD MARS_PERIOD = 1.8808158 * EARTH_PERIOD JUPITER_PERIOD = 11.862615 * EARTH_PERIOD SATURN_PERIOD = 29.447498 * EARTH_PERIOD URANUS_PERIOD = 84.016846 * EARTH_PERIOD NEPTUNE_PERIOD = 164.79132 * EARTH_PERIOD def __init__(self, seconds: int) -> None: self.seconds = seconds def on_mercury(self) -> float: return round(self.seconds / self.MERCURY_PERIOD, 2) def on_venus(self) -> float: return round(self.seconds / self.VENUS_PERIOD, 2) def on_earth(self) -> float: return round(self.seconds / self.EARTH_PERIOD, 2) def on_mars(self) -> float: return round(self.seconds / self.MARS_PERIOD, 2) def on_jupiter(self) -> float: return round(self.seconds / self.JUPITER_PERIOD, 2) def on_saturn(self) -> float: return round(self.seconds / self.SATURN_PERIOD, 2) def on_uranus(self) -> float: return round(self.seconds / self.URANUS_PERIOD, 2) def on_neptune(self) -> float: return round(self.seconds / self.NEPTUNE_PERIOD, 2)

32.108108

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0.671717

160

1,188

4.76875

0.225

0.144168

0.157274

0.209699

0.366972

0

0.079521

0.227273

1,188

36

60

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false

0

0.296296

0.962963

0

null

0

1

0

null

0

1

0

1

0

4

2186314aa7aaff87c93cbec4f6a0d72a7b0791ce

253

py

Python

tuiuiu/tests/modeladmintest/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

3

2019-08-08T09:09:35.000Z

2020-12-15T18:04:17.000Z

tuiuiu/tests/modeladmintest/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

null

tuiuiu/tests/modeladmintest/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

1

2017-09-09T20:10:40.000Z

from __future__ import absolute_import, unicode_literals from django.apps import AppConfig class TuiuiuTestsAppConfig(AppConfig): name = 'tuiuiu.tests.modeladmintest' label = 'test_modeladmintest' verbose_name = "Test Tuiuiu Model Admin"

25.3

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0.786561

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0.150198

253

9

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1

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null

0

1

0

1

0

4

21c55a05f8ceabf205b5ec79ef418e96dcbdd37a

16,275

py

Python

test/test.py

Kenneth-T-Moore/PlantEnergy

e0511b68e279c99a19cc88c2c1d5c61f4e7b822d

[ "Apache-2.0" ]

null

test/test.py

Kenneth-T-Moore/PlantEnergy

e0511b68e279c99a19cc88c2c1d5c61f4e7b822d

[ "Apache-2.0" ]

null

test/test.py

Kenneth-T-Moore/PlantEnergy

e0511b68e279c99a19cc88c2c1d5c61f4e7b822d

[ "Apache-2.0" ]

null

import unittest import numpy as np import cPickle as pickle import os from wakeexchange.OptimizationGroups import AEPGroup from fusedwake.WindTurbine import WindTurbine from fusedwake.WindFarm import WindFarm from windIO.Plant import WTLayout, yaml from openmdao.api import Problem class TestFlorisWrapper(unittest.TestCase): def setUp(self): try: from wakeexchange.floris import floris_wrapper, add_floris_params_IndepVarComps self.working_import = True except: self.working_import = False # define turbine locations in global reference frame turbineX = np.array([1164.7, 947.2, 1682.4, 1464.9, 1982.6, 2200.1]) turbineY = np.array([1024.7, 1335.3, 1387.2, 1697.8, 2060.3, 1749.7]) # initialize input variable arrays nTurbines = turbineX.size rotorDiameter = np.zeros(nTurbines) axialInduction = np.zeros(nTurbines) Ct = np.zeros(nTurbines) Cp = np.zeros(nTurbines) generatorEfficiency = np.zeros(nTurbines) yaw = np.zeros(nTurbines) # define initial values for turbI in range(0, nTurbines): rotorDiameter[turbI] = 126.4 # m axialInduction[turbI] = 1.0/3.0 Ct[turbI] = 4.0*axialInduction[turbI]*(1.0-axialInduction[turbI]) Cp[turbI] = 0.7737/0.944 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2) generatorEfficiency[turbI] = 0.944 yaw[turbI] = 0. # deg. # Define flow properties nDirections = 1 wind_speed = 8.0 # m/s air_density = 1.1716 # kg/m^3 wind_direction = 270.-0.523599*180./np.pi # deg (N = 0 deg., using direction FROM, as in met-mast data) wind_frequency = 1. # probability of wind in this direction at this speed # set up problem model_options = {'differentiable': True, 'use_rotor_components': False, 'nSamples': 0, 'verbose': False} prob = Problem(root=AEPGroup(nTurbines, nDirections, wake_model=floris_wrapper, wake_model_options=model_options, params_IdepVar_func=add_floris_params_IndepVarComps, params_IndepVar_args={'use_rotor_components': False})) # initialize problem prob.setup(check=True) # assign values to turbine states prob['turbineX'] = turbineX prob['turbineY'] = turbineY prob['yaw0'] = yaw # assign values to constant inputs (not design variables) prob['rotorDiameter'] = rotorDiameter prob['axialInduction'] = axialInduction prob['generatorEfficiency'] = generatorEfficiency prob['windSpeeds'] = np.array([wind_speed]) prob['air_density'] = air_density prob['windDirections'] = np.array([wind_direction]) prob['windFrequencies'] = np.array([wind_frequency]) prob['Ct_in'] = Ct prob['Cp_in'] = Cp prob['model_params:cos_spread'] = 1E12 # turns off cosine spread (just needs to be very large) prob['model_params:useWakeAngle'] = False # run the problem prob.run() self.prob = prob def testImport(self): self.assertEqual(self.working_import, True, "floris_wrapper Import Failed") def testRun(self): np.testing.assert_allclose(self.prob['wtVelocity0'], np.array([8., 8., 6.81027708, 6.81027708, 6.80533179, 6.80533179])) # class TestJensenWrapper(unittest.TestCase): # # def setUp(self): # try: # from wakeexchange.jensen import jensen_wrapper, add_jensen_params_IndepVarComps # self.working_import = True # except: # self.working_import = False # # # define turbine locations in global reference frame # turbineX = np.array([1164.7, 947.2, 1682.4, 1464.9, 1982.6, 2200.1]) # turbineY = np.array([1024.7, 1335.3, 1387.2, 1697.8, 2060.3, 1749.7]) # # # initialize input variable arrays # nTurbines = turbineX.size # rotorDiameter = np.zeros(nTurbines) # axialInduction = np.zeros(nTurbines) # Ct = np.zeros(nTurbines) # Cp = np.zeros(nTurbines) # generatorEfficiency = np.zeros(nTurbines) # yaw = np.zeros(nTurbines) # # # define initial values # for turbI in range(0, nTurbines): # rotorDiameter[turbI] = 126.4 # m # axialInduction[turbI] = 1.0/3.0 # Ct[turbI] = 4.0*axialInduction[turbI]*(1.0-axialInduction[turbI]) # Cp[turbI] = 0.7737/0.944 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2) # generatorEfficiency[turbI] = 0.944 # yaw[turbI] = 0. # deg. # # # Define flow properties # nDirections = 1 # wind_speed = 8.1 # m/s # air_density = 1.1716 # kg/m^3 # wind_direction = 270.-0.523599*180./np.pi # deg (N = 0 deg., using direction FROM, as in met-mast data) # wind_frequency = 1. # probability of wind in this direction at this speed # # # set up problem # # wake_model_options = None # prob = Problem(root=AEPGroup(nTurbines, nDirections, wake_model=jensen_wrapper, wake_model_options=wake_model_options, # params_IdepVar_func=add_jensen_params_IndepVarComps, # params_IndepVar_args={'use_angle': False})) # # # initialize problem # prob.setup(check=True) # # # assign values to turbine states # prob['turbineX'] = turbineX # prob['turbineY'] = turbineY # prob['yaw0'] = yaw # # # assign values to constant inputs (not design variables) # prob['rotorDiameter'] = rotorDiameter # prob['axialInduction'] = axialInduction # prob['generatorEfficiency'] = generatorEfficiency # prob['windSpeeds'] = np.array([wind_speed]) # prob['air_density'] = air_density # prob['windDirections'] = np.array([wind_direction]) # prob['windFrequencies'] = np.array([wind_frequency]) # prob['Ct_in'] = Ct # prob['Cp_in'] = Cp # # prob['model_params:spread_angle'] = 20.0 # # prob['model_params:alpha'] = 0.1 # # # run the problem # prob.run() # # self.prob = prob # # def testImport(self): # self.assertEqual(self.working_import, True, "jensen_wrapper Import Failed") # # def testRun(self): # np.testing.assert_allclose(self.prob['wtVelocity0'], np.array([8.1, 8.1, 6.74484, 6.74484, 6.616713, 6.616713])) # class TestLarsenWrapper(unittest.TestCase): # # def setUp(self): # try: # from wakeexchange.larsen import larsen_wrapper, add_larsen_params_IndepVarComps # self.working_import = True # except: # self.working_import = False # # # define turbine locations in global reference frame # turbineX = np.array([1164.7, 947.2, 1682.4, 1464.9, 1982.6, 2200.1]) # turbineY = np.array([1024.7, 1335.3, 1387.2, 1697.8, 2060.3, 1749.7]) # # # initialize input variable arrays # nTurbines = turbineX.size # rotorDiameter = np.zeros(nTurbines) # axialInduction = np.zeros(nTurbines) # Ct = np.zeros(nTurbines) # Cp = np.zeros(nTurbines) # generatorEfficiency = np.zeros(nTurbines) # yaw = np.zeros(nTurbines) # hubHeight = np.zeros(nTurbines) # # # define initial values # for turbI in range(0, nTurbines): # rotorDiameter[turbI] = 126.4 # m # axialInduction[turbI] = 1.0/3.0 # Ct[turbI] = 4.0*axialInduction[turbI]*(1.0-axialInduction[turbI]) # Cp[turbI] = 0.7737/0.944 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2) # generatorEfficiency[turbI] = 0.944 # yaw[turbI] = 0. # deg. # hubHeight[turbI] = 90.0 # # # Define flow properties # nDirections = 1 # wind_speed = 8.0 # m/s # air_density = 1.1716 # kg/m^3 # wind_direction = 270.-0.523599*180./np.pi # deg (N = 0 deg., using direction FROM, as in met-mast data) # wind_frequency = 1. # probability of wind in this direction at this speed # Ia = 0.05 # ambient turbulence intensity # # # load wind turbine data # NREL5MWCPCT = pickle.load(open('../data/turbine_data/NREL5MWCPCT_smooth_dict.p')) # # # set up problem # model_options = {} # model_options['tuning'] = 'standard' # model_options['differentiable'] = False # model_options['verbose'] = False # model_options['nSamples'] = 0 # model_options['use_rotor_components'] = False # model_options['datasize'] = NREL5MWCPCT['CP'].size # # #calculate P based on Cp # Power = np.zeros(NREL5MWCPCT['CP'].size) # for i in range(0, NREL5MWCPCT['CP'].size): # Power[i] = 0.5*air_density*NREL5MWCPCT['CP'][i]*np.pi*(rotorDiameter[0]/2.0)**(2.0)*NREL5MWCPCT['wind_speed'][i]**(3.0) # # B = np.array([NREL5MWCPCT['wind_speed'], Power, NREL5MWCPCT['CT']]) # B = np.transpose(B) # b = np.copy(B) # WT = WindTurbine(name='test_turbine', refCurvesFile=b, H=hubHeight[0], R=rotorDiameter[0]) # # #Make WindFarm instance # # xcoord = np.ones(nTurbines) # ycoord = np.ones(nTurbines) # # a = np.array([xcoord, ycoord]) # # # ---- Modify test.yml file to match number of turbines ---- # # yml_coordinates = [] # for i in range(0, nTurbines): # yml_coordinates.append({'position': [100.0*i, 100.0*i], 'turbine_type': 'NREL5MW', 'name': 'WT', 'row': 1}) # # yml = '../data/turbine_data/NREL5MW.yml' # # test_yml = WTLayout(yml) # # test_yml.data['layout'] = yml_coordinates # # ctcurve = [] # powcurve = [] # # #print(NREL5MWCPCT['CP'].size) # # plt.figure() # # plt.plot(NREL5MWCPCT['wind_speed'], NREL5MWCPCT['CT']) # # plt.show() # # #quit() # # for i in range(0, NREL5MWCPCT['CP'].size): # ctcurve.append([NREL5MWCPCT['wind_speed'][i], NREL5MWCPCT['CT'][i]]) # powcurve.append([NREL5MWCPCT['wind_speed'][i], Power[i]]) # # test_yml.data['turbine_types'][0]['c_t_curve'] = ctcurve # test_yml.data['turbine_types'][0]['power_curve'] = powcurve # # # create temporary yml filename # temp_yml = '../data/turbine_data/temp.yml' # # with open(temp_yml, 'w') as f: # yaml.dump(test_yml.data, f, default_flow_style=False) # # ----------------------------------------------------------- # # # # create windfarm instance from temp_yml data # WF = WindFarm(name='Test_Farm', yml=temp_yml, array=a, WT=WT) # # os.remove(temp_yml) # # model_options['wf_instance'] = WF # # prob = Problem(root=AEPGroup(nTurbines, nDirections, wake_model=larsen_wrapper, wake_model_options=model_options, # params_IdepVar_func=add_larsen_params_IndepVarComps, # params_IndepVar_args={'nTurbines': nTurbines, 'datasize': model_options['datasize']})) # # # initialize problem # prob.setup(check=True) # # # assign values to turbine states # prob['turbineX'] = turbineX # prob['turbineY'] = turbineY # prob['yaw0'] = yaw # # # assign values to constant inputs (not design variables) # prob['rotorDiameter'] = rotorDiameter # prob['hubHeight'] = hubHeight # prob['axialInduction'] = axialInduction # prob['generatorEfficiency'] = generatorEfficiency # prob['windSpeeds'] = np.array([wind_speed]) # prob['air_density'] = air_density # prob['windDirections'] = np.array([wind_direction]) # prob['windFrequencies'] = np.array([wind_frequency]) # prob['Ct_in'] = Ct # prob['Cp_in'] = Cp # prob['model_params:Ia'] = Ia # # # run the problem # prob.run() # # self.prob = prob # # def testImport(self): # self.assertEqual(self.working_import, True, "larsen_wrapper Import Failed") # # def testRun(self): # np.testing.assert_allclose(self.prob['wtVelocity0'], np.array([8., 8., 6.796097, 6.796097, 6.573742, 6.573742])) class TestGaussWrapper(unittest.TestCase): def setUp(self): try: from wakeexchange.gauss import gauss_wrapper, add_gauss_params_IndepVarComps self.working_import = True except: self.working_import = False # define turbine locations in global reference frame turbineX = np.array([1164.7, 947.2, 1682.4, 1464.9, 1982.6, 2200.1]) turbineY = np.array([1024.7, 1335.3, 1387.2, 1697.8, 2060.3, 1749.7]) hubHeight = np.zeros_like(turbineX)+90. # import matplotlib.pyplot as plt # plt.plot(turbineX, turbineY, 'o') # plt.plot(np.array([0.0, ])) # plt.show() # initialize input variable arrays nTurbines = turbineX.size rotorDiameter = np.zeros(nTurbines) axialInduction = np.zeros(nTurbines) Ct = np.zeros(nTurbines) Cp = np.zeros(nTurbines) generatorEfficiency = np.zeros(nTurbines) yaw = np.zeros(nTurbines) # define initial values for turbI in range(0, nTurbines): rotorDiameter[turbI] = 126.4 # m axialInduction[turbI] = 1.0/3.0 Ct[turbI] = 4.0*axialInduction[turbI]*(1.0-axialInduction[turbI]) Cp[turbI] = 0.7737/0.944 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2) generatorEfficiency[turbI] = 0.944 yaw[turbI] = 0. # deg. # Define flow properties nDirections = 1 wind_speed = 8.0 # m/s air_density = 1.1716 # kg/m^3 wind_direction = 270.-0.523599*180./np.pi # deg (N = 0 deg., using direction FROM, as in met-mast data) wind_frequency = 1. # probability of wind in this direction at this speed # set up problem wake_model_options = {'nSamples': 0} prob = Problem(root=AEPGroup(nTurbines=nTurbines, nDirections=nDirections, wake_model=gauss_wrapper, wake_model_options=wake_model_options, datasize=0, use_rotor_components=False, params_IdepVar_func=add_gauss_params_IndepVarComps, differentiable=True, params_IndepVar_args={})) # initialize problem prob.setup(check=True) # assign values to turbine states prob['turbineX'] = turbineX prob['turbineY'] = turbineY prob['hubHeight'] = hubHeight prob['yaw0'] = yaw # assign values to constant inputs (not design variables) prob['rotorDiameter'] = rotorDiameter prob['axialInduction'] = axialInduction prob['generatorEfficiency'] = generatorEfficiency prob['windSpeeds'] = np.array([wind_speed]) prob['air_density'] = air_density prob['windDirections'] = np.array([wind_direction]) prob['windFrequencies'] = np.array([wind_frequency]) prob['Ct_in'] = Ct prob['Cp_in'] = Cp # run the problem prob.run() print prob['wtVelocity0'], prob['turbineX'], prob['turbineY'] self.prob = prob def testImport(self): self.assertEqual(self.working_import, True, "gauss_wrapper Import Failed") def testRun(self): np.testing.assert_allclose(self.prob['wtVelocity0'], np.array([ 8., 8., 5.922961, 5.922961, 5.478532, 5.478241])) if __name__ == "__main__": unittest.main()

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21cc703f3d4a4b8a67ee7e2ea3bf7802d6b33e52

977

py

Python

testData/typeinspectionv18/overrideInit.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

238

2019-08-05T12:46:09.000Z

2022-03-25T08:53:25.000Z

testData/typeinspectionv18/overrideInit.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

415

2019-07-15T17:39:35.000Z

2022-03-31T01:18:38.000Z

testData/typeinspectionv18/overrideInit.py

collerek/pydantic-pycharm-plugin

7068ece42334cc9fbe927d779d199c86d5139888

[ "Apache-2.0", "MIT" ]

7

2019-08-09T01:03:16.000Z

2022-02-08T03:28:19.000Z

from pydantic import BaseModel class A(BaseModel): abc: str = '123' def __init__(self): pass A() class B(BaseModel): abc: str = '123' def __init__(self, a: float, b: int): pass B(abc='123'<warning descr="null">)</warning> class C(BaseModel): abc: str = '123' def __init__(self, a: float, b: int = 123): pass C(abc='123'<warning descr="null">)</warning> # class D(BaseModel): # abc: str = '123' # def __init__(self, *a): # pass # # C(abc='123') # # class E(BaseModel): # abc: str = '123' # def __init__(self, **a): # pass # E(abc='123') class F(C): abc: str = '123' def __init__(self, c: float, d: str): super(F, self).__init__(...) F(abc='123'<warning descr="null">)</warning> class G(C): abc: str = '123' def __new__(self, c: float, d: str): super(F, self).__init__(...) G(abc='123') class H(C): pass H(abc='123'<warning descr="null">)</warning>

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1d051c46614f1151b0203d1021021db398273d06

89

py

Python

ner_trainer/forms.py

johnfraney/django-ner-trainer

38a02a858412eab2d4721659ee33a6e8721199ea

[ "MIT" ]

6

2018-07-26T12:11:21.000Z

2021-07-14T07:08:55.000Z

ner_trainer/forms.py

johnfraney/django-ner-trainer

38a02a858412eab2d4721659ee33a6e8721199ea

[ "MIT" ]

null

ner_trainer/forms.py

johnfraney/django-ner-trainer

38a02a858412eab2d4721659ee33a6e8721199ea

[ "MIT" ]

4

2019-03-31T06:29:53.000Z

2022-03-18T17:27:33.000Z

from django import forms class ModelTestForm(forms.Form): text = forms.CharField()

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df009865762587d1007f3f7139e861ac75fe14bb

133

py

Python

parsers/__init__.py

vintage/jokes_app

de18b0bd786841e2ea506105aa205b66ce2b5692

[ "MIT" ]

3

2017-07-13T06:47:23.000Z

2017-11-19T08:21:38.000Z

parsers/__init__.py

vintage/jokes_app

de18b0bd786841e2ea506105aa205b66ce2b5692

[ "MIT" ]

1

2019-08-01T13:39:08.000Z

2021-03-23T07:15:42.000Z

parsers/__init__.py

vintage/jokes_app

de18b0bd786841e2ea506105aa205b66ce2b5692

[ "MIT" ]

null

# Copy to .venv/lib/python3.6/site-packages/enchant/share/enchant/myspell # https://github.com/elastic/hunspell/tree/master/dicts/pl

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df0973906e2e28e9a0ffb26a5c82bba2915b1dc2

139

py

Python

scripts/python/test_naoqi.py

plus44/hcr-2016

20c7312fa1b9bd36434852f2d0d3b5b0cc289cc7

[ "Apache-2.0" ]

null

scripts/python/test_naoqi.py

plus44/hcr-2016

20c7312fa1b9bd36434852f2d0d3b5b0cc289cc7

[ "Apache-2.0" ]

null

scripts/python/test_naoqi.py

plus44/hcr-2016

20c7312fa1b9bd36434852f2d0d3b5b0cc289cc7

[ "Apache-2.0" ]

null

#! /home/admin/venvs/hcr-2016/bin/python import sys print '\n'.join(sys.path) import naoqi if __name__ == '__main__': print "Naoqi Test"

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df38658053445855800c66fb717ebfdb22768f78

128

py

Python

snippets - pandas/plotting-pandas.py

bjfisica/MachineLearning

20349301ae7f82cd5048410b0cf1f7a5f7d7e5a2

[ "MIT" ]

52

2019-02-15T16:37:13.000Z

2022-02-17T18:34:30.000Z

snippets - pandas/plotting-pandas.py

RodeoBlues/Complete-Data-Science-Toolkits

c5e83889e24af825ec3baed6e8198debb135f1ff

[ "MIT" ]

null

snippets - pandas/plotting-pandas.py

RodeoBlues/Complete-Data-Science-Toolkits

c5e83889e24af825ec3baed6e8198debb135f1ff

[ "MIT" ]

22

2017-11-25T23:42:16.000Z

2019-01-07T09:22:35.000Z

import pandas as pd #histogram for each column df.plot.hist() #scatter chart using pairs of points df.plot.scatter(x='w',y='h')

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df4ccadd48ef65ce73e0ea13f4e72f45bf8f773d

381

py

Python

INBa/2015/RotkinAM/Zadacha_2_21.py

YukkaSarasti/pythonintask

eadf4245abb65f4400a3bae30a4256b4658e009c

[ "Apache-2.0" ]

null

INBa/2015/RotkinAM/Zadacha_2_21.py

YukkaSarasti/pythonintask

eadf4245abb65f4400a3bae30a4256b4658e009c

[ "Apache-2.0" ]

null

INBa/2015/RotkinAM/Zadacha_2_21.py

YukkaSarasti/pythonintask

eadf4245abb65f4400a3bae30a4256b4658e009c

[ "Apache-2.0" ]

null

# Задача 2. Вариант 21. # Напишите программу, которая будет выводить на экран наиболее понравившееся вам высказывание, автором которого является Леонардо да Винчи. Не забудьте о том, что автор должен быть упомянут на отдельной строке. # Rotkin A.M. # 02.04.2016 print ('За сладкое приходтся горько расплачиваться') print ("\nЛеонардо да Винчи") input ("Нажмите Enter для выхода")

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df84b813e3c65c88ad94c8eed596c5b13b13d18b

567

py

Python

gesture_digit_prediction_app/hello/models.py

qiulongquan/DS_Research

864181b458e5af6f22b471d1598b7d96b3efc757

[ "Apache-2.0" ]

1

2020-11-08T07:26:22.000Z

gesture_digit_prediction_app/hello/models.py

qiulongquan/DS_Research

864181b458e5af6f22b471d1598b7d96b3efc757

[ "Apache-2.0" ]

null

gesture_digit_prediction_app/hello/models.py

qiulongquan/DS_Research

864181b458e5af6f22b471d1598b7d96b3efc757

[ "Apache-2.0" ]

null

from django.db import models class Hello(models.Model): your_name = models.CharField(max_length=15) def __str__(self): return "<{0}>".format(self.your_name) class Qiu(models.Model): qiu_name = models.CharField(max_length=15) def __str__(self): return self.qiu_name class Hello1(models.Model): qiu_name1 = models.CharField(max_length=20) def __str__(self): return "<{0}>".format(self.qiu_name1) class Img(models.Model): img = models.ImageField(upload_to='img') name = models.CharField(max_length=100)

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df92dd7a57c9a33e613c07064ef90d83f737c5b5

142

py

Python

libreasso/communication/apps.py

codoit/libreasso

fd9f12e958be4087d3a70582677007ed7f7a6eb3

[ "MIT" ]

1

2016-12-19T17:26:00.000Z

libreasso/communication/apps.py

codoit/libreasso

fd9f12e958be4087d3a70582677007ed7f7a6eb3

[ "MIT" ]

17

2017-01-05T15:54:03.000Z

2017-01-05T15:55:13.000Z

libreasso/communication/apps.py

codoit/libreasso

fd9f12e958be4087d3a70582677007ed7f7a6eb3

[ "MIT" ]

null

from __future__ import unicode_literals from django.apps import AppConfig class CommunicationConfig(AppConfig): name = 'communication'

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null

0

1

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1

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10c276665fdc1e825769c5b7cc90dc3c42bee62b

37

py

Python

{{ cookiecutter.domain }}/custom_components/{{ cookiecutter.domain }}/const.py

Rihan9/cookiecutter-homeassistant-component

46bdd8e16d360562b0513a12f6c46df473bb4d89

[ "MIT" ]

26

2020-06-01T02:58:33.000Z

2022-03-26T00:55:06.000Z

{{ cookiecutter.domain }}/custom_components/{{ cookiecutter.domain }}/const.py

Rihan9/cookiecutter-homeassistant-component

46bdd8e16d360562b0513a12f6c46df473bb4d89

[ "MIT" ]

3

2020-09-09T13:54:59.000Z

2021-08-29T17:43:34.000Z

{{ cookiecutter.domain }}/custom_components/{{ cookiecutter.domain }}/const.py

Rihan9/cookiecutter-homeassistant-component

46bdd8e16d360562b0513a12f6c46df473bb4d89

[ "MIT" ]

14

2020-06-01T12:28:08.000Z

2022-03-20T16:07:23.000Z

DOMAIN = "{{ cookiecutter.domain }}"

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0

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null

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4

10c592d9473d66ce7243d0ca836019f719f1800a

35

py

Python

venv/lib/python3.6/tempfile.py

bradjballard/personal_search_engine

530c5224721a7d700ca0c7c78a513bbc81f05c38

[ "NCSA" ]

null

venv/lib/python3.6/tempfile.py

bradjballard/personal_search_engine

530c5224721a7d700ca0c7c78a513bbc81f05c38

[ "NCSA" ]

null

venv/lib/python3.6/tempfile.py

bradjballard/personal_search_engine

530c5224721a7d700ca0c7c78a513bbc81f05c38

[ "NCSA" ]

null

/anaconda/lib/python3.6/tempfile.py

35

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1

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null

0

1

0

4

10c83c58eb3b561c0d0dd30c346ea077d7b88fb9

110

py

Python

env/lib/python3.6/site-packages/openpyxl/workbook/external_link/__init__.py

anthowen/duplify

846d01c1b21230937fdf0281b0cf8c0b08a8c24e

[ "MIT" ]

34

2018-07-13T11:30:46.000Z

2022-01-05T13:48:10.000Z

env/lib/python3.6/site-packages/openpyxl/workbook/external_link/__init__.py

anthowen/duplify

846d01c1b21230937fdf0281b0cf8c0b08a8c24e

[ "MIT" ]

31

2017-01-05T06:07:28.000Z

2018-05-27T13:13:06.000Z

env/lib/python3.6/site-packages/openpyxl/workbook/external_link/__init__.py

anthowen/duplify

846d01c1b21230937fdf0281b0cf8c0b08a8c24e

[ "MIT" ]

22

2018-07-13T11:30:48.000Z

2021-09-25T13:30:08.000Z

22

38

0.827273

14

110

6.142857

0.785714

0

0.083333

0.127273

110

4

39

27.5

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0

1

0

true

0

1

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

4

10db451650724fae34f4118e5abab33ead216fab

121

py

Python

scenario.py

bdgamesdev/universal

1e7f28343efc4fb52403c8143f929bb5b2026185

[ "MIT" ]

null

scenario.py

bdgamesdev/universal

1e7f28343efc4fb52403c8143f929bb5b2026185

[ "MIT" ]

null

scenario.py

bdgamesdev/universal

1e7f28343efc4fb52403c8143f929bb5b2026185

[ "MIT" ]

null

class Scenario: timeLimit = 5 type = 'orbit' def __init__(self, title, *kwargs): self.title = title

17.285714

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14

121

4.857143

0.785714

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null

1

0

1

0

null

0

1

0

4

10eb2eb1e1c0179f273edc5b429b658630b21635

132

py

Python

lib/fmd/actions.py

GonzaloAlvarez/py-ga-sysadmin

fbbbbcad36df9f1b3e40328ff48c22bad13a56f4

[ "MIT" ]

2

2018-01-05T15:32:06.000Z

2021-06-02T13:15:05.000Z

lib/fmd/actions.py

GonzaloAlvarez/devops-tools

fbbbbcad36df9f1b3e40328ff48c22bad13a56f4

[ "MIT" ]

67

2017-01-09T19:39:19.000Z

2018-02-28T05:33:40.000Z

lib/fmd/actions.py

GonzaloAlvarez/devops-tools

fbbbbcad36df9f1b3e40328ff48c22bad13a56f4

[ "MIT" ]

null

from addaction import AddAction from showaction import ShowAction from getaction import GetAction from listaction import ListAction

26.4

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132

7.25

0.375

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132

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null

0

1

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null

0

1

0

1

0

4

10ee981491e95e5c5b7bf67f7fa5bf9b027269ad

327

py

Python

Classification/NaiveBayes/Multinomial-Naive-Bayes/mnb_classifier.py

avinashingit/Machine-Learning-in-Python

db63ebee78b396b01430bd4ad8dd4d7b7d5eefe8

[ "MIT" ]

null

Classification/NaiveBayes/Multinomial-Naive-Bayes/mnb_classifier.py

avinashingit/Machine-Learning-in-Python

db63ebee78b396b01430bd4ad8dd4d7b7d5eefe8

[ "MIT" ]

null

Classification/NaiveBayes/Multinomial-Naive-Bayes/mnb_classifier.py

avinashingit/Machine-Learning-in-Python

db63ebee78b396b01430bd4ad8dd4d7b7d5eefe8

[ "MIT" ]

1

2020-01-31T13:09:21.000Z

# For building the Gaussioan Naive Bayes classifier, Iris dataset from Scikit Learn is being used. from sklearn.datasets import load_iris # Importing necessary scikit learn libraries from sklearn.model_selection import train_test_split from sklearn.naive_bayes import MultinomialNB from sklearn.metrics import accuracy_score

36.333333

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327

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null

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1

0

1

0

4

10f9f94a2cb6881a8dc2262a9b2572388d4dc96b

3,524

py

Python

reviewboard/reviews/tests/test_preview_review_request_email_view.py

amalik2/reviewboard

676aa2dce38ce619a74f2d4cb3cfae9bce21416e

[ "MIT" ]

921

2015-01-01T15:26:28.000Z

2022-03-29T11:30:38.000Z

reviewboard/reviews/tests/test_preview_review_request_email_view.py

amalik2/reviewboard

676aa2dce38ce619a74f2d4cb3cfae9bce21416e

[ "MIT" ]

5

2015-03-17T18:57:47.000Z

2020-10-02T13:24:31.000Z

reviewboard/reviews/tests/test_preview_review_request_email_view.py

amalik2/reviewboard

676aa2dce38ce619a74f2d4cb3cfae9bce21416e

[ "MIT" ]

285

2015-01-12T06:24:36.000Z

2022-03-29T11:03:50.000Z

"""Unit tests for reviewboard.reviews.views.PreviewReviewRequestEmailView.""" from __future__ import unicode_literals from django.contrib.auth.models import User from reviewboard.site.urlresolvers import local_site_reverse from reviewboard.testing import TestCase class PreviewReviewRequestEmailViewTests(TestCase): """Unit tests for reviewboard.reviews.views.PreviewReviewRequestEmailView. """ fixtures = ['test_users', 'test_scmtools'] def test_access_with_debug(self): """Testing PreviewReviewRequestEmailView access with DEBUG=True""" review_request = self.create_review_request(publish=True) with self.settings(DEBUG=True): response = self.client.get( local_site_reverse( 'preview-review-request-email', kwargs={ 'review_request_id': review_request.pk, 'message_format': 'text', })) self.assertEqual(response.status_code, 200) def test_access_without_debug(self): """Testing PreviewReviewRequestEmailView access with DEBUG=False""" review_request = self.create_review_request(publish=True) with self.settings(DEBUG=False): response = self.client.get( local_site_reverse( 'preview-review-request-email', kwargs={ 'review_request_id': review_request.pk, 'message_format': 'text', })) self.assertEqual(response.status_code, 404) def test_with_valid_change_id(self): """Testing PreviewReviewRequestEmailView access with valid change ID""" user = User.objects.create_user('test_user') review_request = self.create_review_request(create_repository=True, publish=True, target_people=[user]) self.create_diffset(review_request, draft=True) review_request.publish(review_request.submitter) with self.settings(DEBUG=True): response = self.client.get( local_site_reverse( 'preview-review-request-email', kwargs={ 'review_request_id': review_request.pk, 'message_format': 'text', 'changedesc_id': review_request.changedescs.get().pk, })) self.assertEqual(response.status_code, 200) def test_with_invalid_change_id(self): """Testing PreviewReviewRequestEmailView access with invalid change ID """ user = User.objects.create_user('test_user') review_request = self.create_review_request(create_repository=True, publish=True, target_people=[user]) self.create_diffset(review_request, draft=True) review_request.publish(review_request.submitter) with self.settings(DEBUG=True): response = self.client.get( local_site_reverse( 'preview-review-request-email', kwargs={ 'review_request_id': review_request.pk, 'message_format': 'text', 'changedesc_id': 100, })) self.assertEqual(response.status_code, 404)

38.725275

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0

1

0

1

0

null

0

4

10ff6f610857fa4da1c2272a7ab5705a925dfc69

98

py

Python

core_backend/apps.py

PoieoDev/User-Accounts-Template

1e6586d9a79d3df61d6ae7589415f23e8aeeea07

[ "MIT" ]

null

core_backend/apps.py

PoieoDev/User-Accounts-Template

1e6586d9a79d3df61d6ae7589415f23e8aeeea07

[ "MIT" ]

null

core_backend/apps.py

PoieoDev/User-Accounts-Template

1e6586d9a79d3df61d6ae7589415f23e8aeeea07

[ "MIT" ]

null

from django.apps import AppConfig class CoreBackendConfig(AppConfig): name = 'core_backend'

16.333333

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null

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1

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null

0

1

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1

0

4

80159b75aa113a30275dad91c182d915e6dabf31

142

py

Python

boot.py

matejv/micropython-weatherstation

3c357fa14d83bb6a21388f953cc994601a6e8eda

[ "MIT" ]

7

2017-04-16T16:52:00.000Z

2019-07-26T14:53:19.000Z

boot.py

matejv/micropython-weatherstation

3c357fa14d83bb6a21388f953cc994601a6e8eda

[ "MIT" ]

1

2017-02-02T07:21:49.000Z

boot.py

matejv/micropython-weatherstation

3c357fa14d83bb6a21388f953cc994601a6e8eda

[ "MIT" ]

null

# This file is executed on every boot (including wake-boot from deepsleep) #import esp #esp.osdebug(None) import gc gc.collect() gc.enable()

17.75

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null

0

1

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1

0

4

80343257862fe0dd8bcfe32668eea5bd1de6aed0

52

py

Python

examples/test/__init__.py

mattsb42/xy-tag

75f8a8141beb9f5be62357b949ac8686472b24a6

[ "Apache-2.0" ]

5

2020-05-18T20:47:52.000Z

2022-03-29T05:39:32.000Z

examples/test/__init__.py

mattsb42/xy-tag

75f8a8141beb9f5be62357b949ac8686472b24a6

[ "Apache-2.0" ]

55

2019-10-18T05:32:34.000Z

2020-01-10T07:54:04.000Z

examples/test/__init__.py

mattsb42/xy-tag

75f8a8141beb9f5be62357b949ac8686472b24a6

[ "Apache-2.0" ]

2

2020-05-16T19:23:02.000Z

2020-11-26T05:42:17.000Z

"""Put tests for the examples in this directory."""

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52

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52

1

52

0.840909

0.865385

0

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null

0

1

0

4

8040173e381ef7cb4b3fc1f2e9d60d3bcfc17f3e

2,328

py

Python

FlatBufferSchemaGenerator/python/FlatBufferObserver.py

cnheider/droid

1687cb50cadba867d9e8a7b670629008c948b38e

[ "Apache-2.0" ]

null

FlatBufferSchemaGenerator/python/FlatBufferObserver.py

cnheider/droid

1687cb50cadba867d9e8a7b670629008c948b38e

[ "Apache-2.0" ]

null

FlatBufferSchemaGenerator/python/FlatBufferObserver.py

cnheider/droid

1687cb50cadba867d9e8a7b670629008c948b38e

[ "Apache-2.0" ]

null

# automatically generated by the FlatBuffers compiler, do not modify # namespace: State import flatbuffers class FlatBufferObserver(object): __slots__ = ['_tab'] @classmethod def GetRootAsFlatBufferObserver(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = FlatBufferObserver() x.Init(buf, n + offset) return x # FlatBufferObserver def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # FlatBufferObserver def Name(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.String(o + self._tab.Pos) return "" # FlatBufferObserver def Data(self, j): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: a = self._tab.Vector(o) return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1)) return 0 # FlatBufferObserver def DataLength(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: return self._tab.VectorLen(o) return 0 # FlatBufferObserver def Posrotdir(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: x = self._tab.Indirect(o + self._tab.Pos) from .FlatBufferPosRotDir import FlatBufferPosRotDir obj = FlatBufferPosRotDir() obj.Init(self._tab.Bytes, x) return obj return None def FlatBufferObserverStart(builder): builder.StartObject(3) def FlatBufferObserverAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0) def FlatBufferObserverAddData(builder, data): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0) def FlatBufferObserverStartDataVector(builder, numElems): return builder.StartVector(1, numElems, 1) def FlatBufferObserverAddPosrotdir(builder, posrotdir): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(posrotdir), 0) def FlatBufferObserverEnd(builder): return builder.EndObject()

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null

0

1

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1

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4

3377756caf446ee92705d76468e482dd3c3c56ac

110

py

Python

contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py

endothermicdev/lightning

c7d359baf455e5260dc5d126b05211279e186ef8

[ "MIT" ]

null

contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py

endothermicdev/lightning

c7d359baf455e5260dc5d126b05211279e186ef8

[ "MIT" ]

null

contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py

endothermicdev/lightning

c7d359baf455e5260dc5d126b05211279e186ef8

[ "MIT" ]

null

__base_version__ = "1.0" __post_version__ = "222" __gitversion__ = "f1c797df2966237244527c1c6343dbe9bc765342"

27.5

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0

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1

0

null

0

4

33785c10eb7a2f5238f0edbd3dfe035be9261d0c

341

py

Python

torchio/transforms/intensity_transform.py

soumickmj/torchio

5ec12c7ea9bf9cfd70e17e90fcc03621272cef9c

[ "MIT" ]

1

2021-01-22T21:49:30.000Z

torchio/transforms/intensity_transform.py

soumickmj/torchio

5ec12c7ea9bf9cfd70e17e90fcc03621272cef9c

[ "MIT" ]

null

torchio/transforms/intensity_transform.py

soumickmj/torchio

5ec12c7ea9bf9cfd70e17e90fcc03621272cef9c

[ "MIT" ]

null

from .transform import Transform class IntensityTransform(Transform): """Transform that modifies voxel intensities only.""" @staticmethod def get_images(sample): return sample.get_images(intensity_only=True) @staticmethod def get_images_dict(sample): return sample.get_images_dict(intensity_only=True)

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0.25

0.75

0

null

0

1

0

null

0

1

0

1

0

4

338c9535d561db6ca060d229712697b437641c99

25

py

Python

tests/__init__.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

1

2021-02-08T23:20:59.000Z

tests/__init__.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

1

2021-02-09T10:51:23.000Z

tests/__init__.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

null

"""Tests for option6."""

12.5

24

0.6

3

25

5

1

0

0.045455

0.12

25

1

25

0.636364

0.72

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

339a81a0255bdf3a1fa6edb8c4f81f8eb4bca8c0

101

py

Python

scripts/portal/profession11.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

9

2021-04-26T11:59:29.000Z

2021-12-20T13:15:27.000Z

scripts/portal/profession11.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/portal/profession11.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

6

2021-07-14T06:32:05.000Z

2022-02-06T02:32:56.000Z

# Herb Town (251000000) => Ardentmill sm.setReturnField() sm.setReturnPortal() sm.warp(910001000, 6)

20.2

37

0.752475

12

101

6.333333

0.833333

0

0.208791

0.09901

101

4

38

25.25

0.626374

0.346535

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

4

33a4a6bd6696b6d3f7f614b451cc33496d9165fa

952

py

Python

tests/unit/gui/test_gui.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

1

2019-08-28T17:03:27.000Z

tests/unit/gui/test_gui.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

null

tests/unit/gui/test_gui.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

null

class TestGui: def test_start(self): # synced assert True def test_end(self): # synced assert True def test_closeEvent(self): # synced assert True class TestThreePartGui: def test_start(self): # synced assert True class TestHtmlGui: pass class TestSystemTrayGui: class TestNotificationLevel: pass def test_add_tray_option(self): # synced assert True def test_notify(self): # synced assert True def test_start(self): # synced assert True def test__add_default_options(self): # synced assert True def test__trigger(self): # synced assert True def test__shutdown(self): # synced assert True class TestProgressBarGui: def test___iter__(self): # synced assert True def test___next__(self): # synced assert True def test_start(self): # synced assert True

17.962264

50

0.629202

109

952

5.238532

0.247706

0.15937

0.364273

0.455342

0.651489

0.555166

0.318739

0.262697

0.182137

0

0.309874

952

52

51

18.307692

0.869102

0.094538

0

0.558824

0

0.382353

1

0.382353

false

0.058824

0

0.558824

0

null

0

1

0

null

0

1

0

1

0

4

33bb3dba6ba5b625fe5cf4f70e25aeae3cafe24f

95

py

Python

Exercicios/aula08a.py

Vitmambro/Python9

d084e6fd8230b71e4dade87086a411210e131320

[ "MIT" ]

null

Exercicios/aula08a.py

Vitmambro/Python9

d084e6fd8230b71e4dade87086a411210e131320

[ "MIT" ]

null

Exercicios/aula08a.py

Vitmambro/Python9

d084e6fd8230b71e4dade87086a411210e131320

[ "MIT" ]

null

import emoji print(emoji.emojize(' Ola mundo :sunglasses:', use_aliases=True))

7.307692

65

0.642105

11

95

5.454545

0.909091

0

0.242105

95

12

66

7.916667

0.833333

0

0.261364

0

1

0

true

0

0.5

0

0.5

1

0

null

0

null

0

1

0

1

0

1

0

4

33d2b934d1604144667cc9d5e178b0a84377ef88

201

py

Python

python/orientacao-objetos-2/ABCs.py

LMThomaz-Study/cursos-alura

eeb9d29b5627365309ee0b0d69cae18e6166ccac

[ "MIT" ]

null

python/orientacao-objetos-2/ABCs.py

LMThomaz-Study/cursos-alura

eeb9d29b5627365309ee0b0d69cae18e6166ccac

[ "MIT" ]

null

python/orientacao-objetos-2/ABCs.py

LMThomaz-Study/cursos-alura

eeb9d29b5627365309ee0b0d69cae18e6166ccac

[ "MIT" ]

null

from abc import ABC # abstract base class from collections.abc import MutableSequence from number import Complex class Playlist(MutableSequence): pass filmes = Playlist() num = Complex(1, 2)

15.461538

43

0.761194

26

201

5.884615

0.615385

0.117647

0

0.012121

0.179104

201

12

44

16.75

0.915152

0.094527

0

1

0

false

0.142857

0.428571

0

0.571429

0

1

0

null

0

null

0

1

0

1

0

4

33d49199210bdab53a1c95e998d2a61711888f00

9,101

py

Python

rectified_gaussian.py

david-salac/Rectified-Gaussian-distribution

305f8bd2e3ff02b0528947bff06f0fce58dab36f

[ "MIT" ]

1

2021-04-28T11:26:57.000Z

rectified_gaussian.py

david-salac/Rectified-Gaussian-distribution

305f8bd2e3ff02b0528947bff06f0fce58dab36f

[ "MIT" ]

null

rectified_gaussian.py

david-salac/Rectified-Gaussian-distribution

305f8bd2e3ff02b0528947bff06f0fce58dab36f

[ "MIT" ]

null

from typing import Tuple, Union import numpy as np from scipy.special import erf class RectifiedGaussianDistribution(object): """Implementation of the rectified Gaussian distribution. To see what is the rectified Gaussian distribution, visit: https://en.wikipedia.org/wiki/Rectified_Gaussian_distribution Attributes: RTOL (float): relative tolerance for masks. ATOL (float): absolute tolerance for masks. """ # tolerances to use when fixing numerical precision RTOL = 0.0 ATOL = 0.001 @classmethod def rectified_gaussian(cls, mu: np.ndarray, std: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: """Application of the rectified Gaussian distribution for lower bound equal to zero. The resulting probability distributions are rectified Gaussians see https://en.wikipedia.org/wiki/Rectified_Gaussian_distribution Args: mu (np.ndarray): Vector of mean values. std (np.ndarray): Vector of standard deviations. Notes: The resulting distributions are NOT normal. Returns: Tuple[np.ndarray, np.ndarray]: tuple of numpy arrays (mu, std) of resulting distributions. """ if np.all(np.isnan(std)): # uncertainty is not known # fall back to deterministic clip _mu = np.clip(mu, 0, None) _std = std.copy() return _mu, _std # clip boundary a = np.zeros_like(mu) # transformed constraint c = (a - mu) / std # simplified from reference as upper limit b=inf here mu_t = ( 1 / np.sqrt(2 * np.pi) * np.exp(-c ** 2 / 2) + c / 2 * (1 + erf(c / np.sqrt(2))) ) # again, simplified from reference as upper limit b=inf here std_t_sq = ( (mu_t ** 2 + 1) / 2 * (1 - erf(c / np.sqrt(2))) + 1 / np.sqrt(2 * np.pi) * (c - 2 * mu_t) * np.exp(-c ** 2 / 2) + (c - mu_t) ** 2 / 2 * (1 + erf(c / np.sqrt(2))) ) # we're going to sqrt std_t_sq later so we don't want marginally # negative numbers fouling that operation # large negative numbers are erroneous and should raise an exception, # so we can ignore them here # create two bool arrays: # - is the value negative? # - is it within atol of 0? # logically AND these two bool arrays small_negative_mask = (std_t_sq < 0) & np.isclose(std_t_sq, 0.0, rtol=cls.RTOL, atol=cls.ATOL) # use the resulting mask to set these values to 0 std_t_sq[small_negative_mask] = 0.0 _mu = mu + std * mu_t _std = std * np.sqrt(std_t_sq) # fix slight violations of limits (due to numerical precision) mask = (_mu < 0) & np.isclose(_mu, 0, rtol=cls.RTOL, atol=cls.ATOL) _mu[mask] = 0.0 return _mu, _std @classmethod def rectified_gaussian_general_bound(cls, mu: np.ndarray, std: np.ndarray, lower: Union[np.ndarray, float], upper: Union[np.ndarray, float] ) -> Tuple[np.ndarray, np.ndarray]: """Application of the rectified Gaussian distribution for gneral lower and upper bounds (including infinity). The resulting probability distributions are rectified Gaussians see https://en.wikipedia.org/wiki/Rectified_Gaussian_distribution Args: lower (Union[np.ndarray, float]): Lower bound or bounds, also accepts float('-inf') option to reflect only the upper bound. upper (Union[np.ndarray, float]): Upper bound or bounds, also accepts float('+inf') option to reflect only the lower bound. mu (np.ndarray): Vector of mean values. std (np.ndarray): Vector of standard deviations. Notes: The resulting distributions are NOT normal. Returns: Tuple[np.ndarray, np.ndarray]: tuple of numpy arrays (mu, std) of resulting distributions. """ if np.all(np.isnan(std)): # uncertainty is not known # fall back to deterministic clip _mu = np.clip(mu, lower, upper) _std = std.copy() return _mu, _std # clip boundary a = lower b = upper # transformed constraint c = (a - mu) / std d = (b - mu) / std # general version from reference mu_t = ( 1 / np.sqrt(2 * np.pi) * ( np.exp(-c ** 2 / 2) - np.exp(-d ** 2 / 2) ) + c / 2 * (1 + erf(c / np.sqrt(2))) + d / 2 * (1 - erf(d / np.sqrt(2))) ) if isinstance(lower, float) and lower == float('-inf'): # because of: lim n-> -inf (n * exp(-n^2)) = 0 mu_t = ( 1 / np.sqrt(2 * np.pi) * ( - np.exp(-d ** 2 / 2) ) + d / 2 * (1 - erf(d / np.sqrt(2))) ) if isinstance(upper, float) and upper == float('+inf'): # because of: lim n-> inf (-n * exp(-n^2)) = 0 mu_t = ( 1 / np.sqrt(2 * np.pi) * ( np.exp(-c ** 2 / 2) ) + c / 2 * (1 + erf(c / np.sqrt(2))) ) # general version from reference std_t_sq = ( (mu_t ** 2 + 1) / 2 * ( erf(d / np.sqrt(2)) - erf(c / np.sqrt(2)) ) - 1 / np.sqrt(2 * np.pi) * ( (d - 2 * mu_t) * np.exp(-d ** 2 / 2) - (c - 2 * mu_t) * np.exp(-c ** 2 / 2) ) + (c - mu_t) ** 2 / 2 * (1 + erf(c / np.sqrt(2))) + (d - mu_t) ** 2 / 2 * (1 - erf(d / np.sqrt(2))) ) if isinstance(lower, float) and lower == float('-inf'): # (for Q, K, J const in R): # lim c->-inf (-Q * erf(c) + (K * c * exp(-c^2)) # + J * c^2 * (1 + erf(c))) = Q std_t_sq = ( (mu_t ** 2 + 1) / 2 * ( erf(d / np.sqrt(2)) + 1 ) - 1 / np.sqrt(2 * np.pi) * ( (d - 2 * mu_t) * np.exp(-d ** 2 / 2) ) + (d - mu_t) ** 2 / 2 * (1 - erf(d / np.sqrt(2))) ) if isinstance(upper, float) and upper == float('+inf'): # (for Q, K, J const in R): # lim d->inf (Q * erf(d) + (K * d * exp(-d^2)) + # J * d^2 * (1 - erf(d))) = Q std_t_sq = ( (mu_t ** 2 + 1) / 2 * ( 1 - erf(c / np.sqrt(2)) ) - 1 / np.sqrt(2 * np.pi) * ( - (c - 2 * mu_t) * np.exp(-c ** 2 / 2) ) + (c - mu_t) ** 2 / 2 * (1 + erf(c / np.sqrt(2))) ) # To check the values of limits, try Wolfram Alpha: # https://www.wolframalpha.com # we're going to sqrt std_t_sq later so we don't want marginally # negative numbers fouling that operation # large negative numbers are erroneous and should raise an exception, # so we can ignore them here # create two bool arrays: # - is the value negative? # - is it within atol of 0? # logically AND these two bool arrays small_negative_mask = (std_t_sq < 0) & np.isclose(std_t_sq, 0.0, rtol=cls.RTOL, atol=cls.ATOL) # use the resulting mask to set these values to 0 std_t_sq[small_negative_mask] = 0 _mu = mu + std * mu_t _std = std * np.sqrt(std_t_sq) # fix slight violations of limits (due to numerical precision) mask = (_mu < lower) & np.isclose(_mu, lower, rtol=cls.RTOL, atol=cls.ATOL) if isinstance(lower, np.ndarray): _mu[mask] = lower[mask] else: _mu[mask] = lower mask = (_mu > upper) & np.isclose(_mu, upper, rtol=cls.RTOL, atol=cls.ATOL) if isinstance(upper, np.ndarray): _mu[mask] = upper[mask] else: _mu[mask] = upper return _mu, _std

35.972332

78

0.452478

1,092

9,101

3.684982

0.163919

0.037276

0.04001

0.013419

0.79001

0.752982

0.738569

0.718439

0.688618

0.649851

0

0.02544

0.438523

9,101

252

79

36.115079

0.762035

0.354357

0

0.565891

0

0.002874

0

1

0.015504

false

0

0.023256

0

0.093023

0

null

0

1

0

1

0

null

0

4

33dc1bc8737ae5efb9539a0e2630c93788a5dee3

70

py

Python

src/coberturas_medicas/__init__.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

null

src/coberturas_medicas/__init__.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

32

2016-05-09T19:37:08.000Z

2022-01-13T01:00:52.000Z

src/coberturas_medicas/__init__.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

null

default_app_config = 'coberturas_medicas.apps.CoberturasMedicasConfig'

70

0.9

7

70

8.571429

1

0

0.028571

70

1

70

0.882353

0

0.661972

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

33f2a1181b60f50c26fb109838c1de75fa98f910

160

py

Python

services/scheduler/src/api/routes.py

dmenezesgabriel/celery-task-scheduler

9f4cc02e0bb884bae2e86d89c3841dea6b9d726e

[ "MIT" ]

null

services/scheduler/src/api/routes.py

dmenezesgabriel/celery-task-scheduler

9f4cc02e0bb884bae2e86d89c3841dea6b9d726e

[ "MIT" ]

11

2020-09-15T12:15:51.000Z

2020-11-03T01:18:46.000Z

services/scheduler/src/api/routes.py

dmenezesgabriel/celery-task-scheduler

9f4cc02e0bb884bae2e86d89c3841dea6b9d726e

[ "MIT" ]

null

from flask import Blueprint, jsonify bp = Blueprint("api", __name__, url_prefix="/api") @bp.route("/hello") def hello(): return jsonify("Hello, World!")

17.777778

50

0.68125

21

160

4.952381

0.714286

0

0.14375

160

8

51

20

0.759124

0

0.1625

0

1

0.2

false

0

0.2

0.6

0.4

1

0

null

0

1

0

null

0

1

0

4

1d15e7acb91ccd3de12d84ce5f5173fde7c621a7

73

py

Python

python/api/pocapi/settings.py

osl-incubator/poc-api-multi-language

79bcac5684f7c8397434d3efe55bc95d5791b967

[ "MIT" ]

null

python/api/pocapi/settings.py

osl-incubator/poc-api-multi-language

79bcac5684f7c8397434d3efe55bc95d5791b967

[ "MIT" ]

null

python/api/pocapi/settings.py

osl-incubator/poc-api-multi-language

79bcac5684f7c8397434d3efe55bc95d5791b967

[ "MIT" ]

1

2022-03-23T04:48:51.000Z

import os POCAPI_URL = os.getenv("POCAPI_URL", "http://localhost:6666")

18.25

61

0.726027

11

73

4.636364

0.727273

0.352941

0

0.060606

0.09589

73

3

62

24.333333

0.712121

0

0.424658

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

1d1678d331abf9de5f08c748bfc58f17ba31170e

51

py

Python

sets1.py

Kalpavrikshika/python_modules

9f338ab006dd5653fd7f65ff253bc50e0fd61fc6

[ "Apache-2.0" ]

1

2018-07-02T03:37:03.000Z

sets1.py

Kalpavrikshika/python_modules

9f338ab006dd5653fd7f65ff253bc50e0fd61fc6

[ "Apache-2.0" ]

null

sets1.py

Kalpavrikshika/python_modules

9f338ab006dd5653fd7f65ff253bc50e0fd61fc6

[ "Apache-2.0" ]

null

a_set = {'red', 'blue', 'green'} print(type(a_set))

25.5

32

0.607843

9

51

3.222222

0.777778

0.275862

0

0.098039

51

2

33

25.5

0.630435

0

0.230769

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

1da4d87ac0986d231201bd1bb6e4a0fc6fc8d019

211

py

Python

watchmate_v1/watchlist_app/urls.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

watchmate_v1/watchlist_app/urls.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

watchmate_v1/watchlist_app/urls.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

from .views import movie_details, movie_list from django.urls import path, include urlpatterns = [ path('all/', movie_list, name="movie-list"), path('<int:pk>/', movie_details, name="movie-details"), ]

26.375

59

0.701422

29

211

4.965517

0.517241

0.25

0

0.137441

211

7

60

30.142857

0.791209

0

0.170616

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

4

d522254b8c4c695805f12c63573f2dacd4d1ded5

293

py

Python

notebooks/_solutions/case2_biodiversity_analysis16.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

65

2017-03-21T09:15:40.000Z

2022-02-01T23:43:08.000Z

notebooks/_solutions/case2_biodiversity_analysis16.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

100

2016-12-15T03:44:06.000Z

2022-03-07T08:14:07.000Z

notebooks/_solutions/case2_biodiversity_analysis16.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

52

2016-12-19T07:48:52.000Z

2022-02-19T17:53:48.000Z

heatmap_prep_plotnine = survey_data.groupby([survey_data['eventDate'].dt.year, survey_data['eventDate'].dt.month]).size() heatmap_prep_plotnine.index.names = ["year", "month"] heatmap_prep_plotnine = heatmap_prep_plotnine.reset_index(name='count')

73.25

87

0.675768

34

293

5.470588

0.470588

0.236559

0.408602

0.225806

0

0.191126

293

4

88

73.25

0.78481

0

0.108844

0

1

0

false

0

null

1

0

1

0

null

0

4

d555e94e143a29f11e123e6f014810777702c950

106

py

Python

mix_beta/example1.py

TomiBelan/multiparser

d23ee69c0771d2b0f899d1cc88bde16aa22f7a9f

[ "Apache-2.0" ]

null

mix_beta/example1.py

TomiBelan/multiparser

d23ee69c0771d2b0f899d1cc88bde16aa22f7a9f

[ "Apache-2.0" ]

null

mix_beta/example1.py

TomiBelan/multiparser

d23ee69c0771d2b0f899d1cc88bde16aa22f7a9f

[ "Apache-2.0" ]

null

print((:(:7:):)) a = (: [[lua string]] :) b = (: x .. y :) c = (: 1 + (: (: (yield 1) :) * 2 :) ^ -6 :)

15.142857

44

0.273585

14

106

2.071429

0.928571

0

0.067568

0.301887

106

6

45

17.666667

0.324324

0

null

0

null

0.25

1

0

null

0

1

0

1

0

null

0

1

0

4

d55efdb47af4ac34ac2686622df940350716567f

386

py

Python

lb_ec2_db.py

DiptoChakrabarty/diagrams

6efaff8b06b49c071bf243bc266f0be9fdd70afb

[ "MIT" ]

null

lb_ec2_db.py

DiptoChakrabarty/diagrams

6efaff8b06b49c071bf243bc266f0be9fdd70afb

[ "MIT" ]

null

lb_ec2_db.py

DiptoChakrabarty/diagrams

6efaff8b06b49c071bf243bc266f0be9fdd70afb

[ "MIT" ]

null

from diagrams import Diagram from diagrams.aws.compute import EC2 from diagrams.aws.database import RDS from diagrams.aws.network import ELB with Diagram("Grouped Workers",show=True,direction="TB"): ELB("lb") >> [EC2("node1"), EC2("node2"), EC2("node3"), EC2("node4"), EC2("node5")] >> RDS("events")

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63418a81f50d1bd2426bb311f19ae09d97821011

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py

Python

test.py

jessicafinnie/ExampleForClass

df675e5889b7851518bd14419057288b24187551

[ "MIT" ]

null

test.py

jessicafinnie/ExampleForClass

df675e5889b7851518bd14419057288b24187551

[ "MIT" ]

null

test.py

jessicafinnie/ExampleForClass

df675e5889b7851518bd14419057288b24187551

[ "MIT" ]

null

# Testing commit, push, pull in PyCharm print("Hello, world!")

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6362b82e328d27e85d3822efc006649be370c499

123

py

Python

basic_syntax_conditional_statements_and_loops/lab/number_between_1_and_100.py

PetkoAndreev/Python-fundamentals

dcf2ecb65d7a82a6688a7529a14eb8a331a83256

[ "MIT" ]

null

basic_syntax_conditional_statements_and_loops/lab/number_between_1_and_100.py

PetkoAndreev/Python-fundamentals

dcf2ecb65d7a82a6688a7529a14eb8a331a83256

[ "MIT" ]

null

basic_syntax_conditional_statements_and_loops/lab/number_between_1_and_100.py

PetkoAndreev/Python-fundamentals

dcf2ecb65d7a82a6688a7529a14eb8a331a83256

[ "MIT" ]

null

num = float(input()) while num < 1 or num > 100: num = float(input()) print(f'The number {num} is between 1 and 100')

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636542941608f361eff45699a289086724f66554

95

py

Python

pygfs/utils.py

eWaterCycle/pyGFS

3d2c533b7781c4ae94ac393877d91d4325e0c0cb

[ "Apache-2.0" ]

1

2021-05-19T05:42:28.000Z

pygfs/utils.py

eWaterCycle/pyGFS

3d2c533b7781c4ae94ac393877d91d4325e0c0cb

[ "Apache-2.0" ]

null

pygfs/utils.py

eWaterCycle/pyGFS

3d2c533b7781c4ae94ac393877d91d4325e0c0cb

[ "Apache-2.0" ]

null

def check_gribfile(f): ''' check if file is a grib file and readeable ''' pass

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6372ee8c2eee6d970a09c164123669b1173e689f

120

py

Python

easy_transformers/constants.py

ManoharSai2000/easy-transformers

9f10bcf469ff30093e3af763eaca066740fb1795

[ "Apache-2.0" ]

null

easy_transformers/constants.py

ManoharSai2000/easy-transformers

9f10bcf469ff30093e3af763eaca066740fb1795

[ "Apache-2.0" ]

null

easy_transformers/constants.py

ManoharSai2000/easy-transformers

9f10bcf469ff30093e3af763eaca066740fb1795

[ "Apache-2.0" ]

null

DEFAULT_MAX_LENGTH = 512 DEFAULT_EASY_TRANSFORMERS_CACHE_SIZE = 1 DEFAULT_EASY_TRANSFORMERS_TEXT_EMB_CACHE_SIZE = 10000

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63786d836006075a18bb63e6fb9cab3c649282bd

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py

Python

project/app/api/rental_pred_viz.py

labs26-citrics/Labs26-Citrics-DS-TeamB

980ff695f49be7bcb3ffdda38dba56049ef1e988

[ "MIT" ]

1

2021-01-04T19:32:50.000Z

project/app/api/rental_pred_viz.py

labs26-citrics/Labs26-Citrics-DS-TeamB

980ff695f49be7bcb3ffdda38dba56049ef1e988

[ "MIT" ]

3

2020-09-08T22:27:35.000Z

2020-10-01T22:19:13.000Z

project/app/api/rental_pred_viz.py

labs26-citrics/Labs26-Citrics-DS-TeamB

980ff695f49be7bcb3ffdda38dba56049ef1e988

[ "MIT" ]

4

2020-10-13T21:56:42.000Z

2021-03-03T01:59:37.000Z

from fastapi import APIRouter, HTTPException import numpy as np import pandas as pd import plotly.graph_objects as go import plotly.express as px import os router = APIRouter() DATA_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "..","data", "rental_all.csv") @router.get('/predict_rental/{city_id}') async def rental_viz_to_dict(city_id: int): """ Return time series estimates for rent of different types of apartments over the next 5 years ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response Dictionary object """ rt_dict = {} rt_data_dict = {} rt_data_dict_viz = {} df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') dataframe = df[df['city_id']==city_id] rt_data = dataframe.to_numpy() rt_data_dict['id'] = rt_data[0][0] rt_data_dict['city'] = rt_data[0][1] rt_data_dict['state'] = rt_data[0][2] rt_data_dict['city_state'] = rt_data[0][3] rt_dict['data'] = rt_data_dict rt_dict['viz'] = rt_data_dict_viz rt_data_dict_viz["studio"] = studio_rental_viz(city_id) rt_data_dict_viz["1br"] = one_bed_viz(city_id) rt_data_dict_viz["2br"] = two_bed_viz(city_id) rt_data_dict_viz["3br"] = three_bed_viz(city_id) rt_data_dict_viz["4br"] = four_bed_viz(city_id) return rt_dict def studio_rental_viz(city_id): """ Visualize future rent estimates of Studio apartments for 2021-2025 ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response JSON string to render with react-plotly.js """ df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') df = df.loc[df['city_id'] == city_id] x = df['year'].tolist() x_rev = x[::-1] y = df['st_yhat'].tolist() y_upper = df['st_yhat_upper'].tolist() y_lower = df['st_yhat_lower'].tolist() y_lower = y_lower[::-1] fig = go.Figure() fig.add_trace(go.Scatter( x=x+x_rev, y=y_upper+y_lower, fill='toself', fillcolor='rgba(0,100,80,0.2)', line_color='rgba(255,255,255,0)', showlegend=False, name='Studio', )) fig.add_trace(go.Scatter( x=x, y=y, line_color='rgb(0,100,80)', name='Studio', )) fig.update_traces(mode='lines') return fig.to_json() def one_bed_viz(city_id): """ Visualize future rent estimates of 1 Bedroom apartments for 2021-2025 ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response JSON string to render with react-plotly.js """ df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') df = df.loc[df['city_id'] == city_id] x = df['year'].tolist() x_rev = x[::-1] y = df['one_yhat'].tolist() y_upper = df['one_yhat_upper'].tolist() y_lower = df['one_yhat_lower'].tolist() y_lower = y_lower[::-1] fig = go.Figure() fig.add_trace(go.Scatter( x=x+x_rev, y=y_upper+y_lower, fill='toself', fillcolor='rgba(0,176,246,0.2)', line_color='rgba(255,255,255,0)', showlegend=False, name='1BR', )) fig.add_trace(go.Scatter( x=x, y=y, line_color='rgb(0,176,246)', name='1BR', )) fig.update_traces(mode='lines') return fig.to_json() def two_bed_viz(city_id): """ Visualize future rent estimates of 2 Bedroom apartments for 2021-2025 ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response JSON string to render with react-plotly.js """ df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') df = df.loc[df['city_id'] == city_id] x = df['year'].tolist() x_rev = x[::-1] y = df['two_yhat'].tolist() y_upper = df['two_yhat_upper'].tolist() y_lower = df['two_yhat_lower'].tolist() y_lower = y_lower[::-1] fig = go.Figure() fig.add_trace(go.Scatter( x=x+x_rev, y=y_upper+y_lower, fill='toself', fillcolor='rgba(231,107,243,0.2)', line_color='rgba(255,255,255,0)', showlegend=False, name='2BR', )) fig.add_trace(go.Scatter( x=x, y=y, line_color='rgb(231,107,243)', name='2BR', )) fig.update_traces(mode='lines') return fig.to_json() def three_bed_viz(city_id): """ Visualize future rent estimates of 3 Bedroom apartments for 2021-2025 ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response JSON string to render with react-plotly.js """ df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') df = df.loc[df['city_id'] == city_id] x = df['year'].tolist() x_rev = x[::-1] y = df['three_yhat'].tolist() y_upper = df['three_yhat_upper'].tolist() y_lower = df['three_yhat_lower'].tolist() y_lower = y_lower[::-1] fig = go.Figure() fig.add_trace(go.Scatter( x=x+x_rev, y=y_upper+y_lower, fill='toself', fillcolor='rgba(255,178,102,0.2)', line_color='rgba(255,255,255,0)', showlegend=False, name='3BR', )) fig.add_trace(go.Scatter( x=x, y=y, line_color='rgb(255,178,102)', name='3BR', )) fig.update_traces(mode='lines') return fig.to_json() def four_bed_viz(city_id): """ Visualize future rent estimates of 4 Bedroom apartments for 2021-2025 ### Query Parameters: - `city_id`: [city_id], unique numeric mapping (ex: 0 returns Anchorage, AK) ### Response JSON string to render with react-plotly.js """ df = pd.read_csv(DATA_FILEPATH, encoding='utf-8') df = df.loc[df['city_id'] == city_id] x = df['year'].tolist() x_rev = x[::-1] y = df['four_yhat'].tolist() y_upper = df['four_yhat_upper'].tolist() y_lower = df['four_yhat_lower'].tolist() y_lower = y_lower[::-1] fig = go.Figure() fig.add_trace(go.Scatter( x=x+x_rev, y=y_upper+y_lower, fill='toself', fillcolor='rgba(51,51,255,0.2)', line_color='rgba(255,255,255,0)', showlegend=False, name='4BR', )) fig.add_trace(go.Scatter( x=x, y=y, line_color='rgb(51,51,255)', name='4BR', )) fig.update_traces(mode='lines') return fig.to_json()

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63a10e3867c93ef6e2a403378b7afcbe977b5a3c

172

py

Python

panel/widgets/__init__.py

arianon/panel

634d9b65fe7973f7875b827a22ef18fc74120725

[ "MIT" ]

null

panel/widgets/__init__.py

arianon/panel

634d9b65fe7973f7875b827a22ef18fc74120725

[ "MIT" ]

null

panel/widgets/__init__.py

arianon/panel

634d9b65fe7973f7875b827a22ef18fc74120725

[ "MIT" ]

null

from ..widget import Widget from .bitcoin import bitcoin from .clock import clock, calendar from .music import music from .volume import volume from .memory import memory

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8965fcb7879e775552cad013b775944c4222f025

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py

Python

openpnm/models/__init__.py

halotudio/openPNM-copy2

d400ec65e9421256a531f6d22a38255b002d5dcb

[ "MIT" ]

1

2021-05-01T11:10:43.000Z

openpnm/models/__init__.py

Jimmy-INL/OpenPNM

1546fa1ac2204443bde916f2037fac383c5069ae

[ "MIT" ]

null

openpnm/models/__init__.py

Jimmy-INL/OpenPNM

1546fa1ac2204443bde916f2037fac383c5069ae

[ "MIT" ]

null

r""" **openpnm.models** ---- This module contains a selection of pore-scale models for calculating geometrical, thermophysical, and multiphysics transport properties. ---- **Using Prewritten Models from the Library** OpenPNM includes a solid library of pre-written models for most basic and standard scenarios. These are broken up into 4 categores: *geometry*, *phases*, *physics*, and *misc*. These are further categorized by the type of information they calculate, such as grouping all models that calculate viscosity or throat length. Utilizing a model on a object requires using the ``add_model`` method. This is demonstrated below: >>> import openpnm as op >>> pn = op.network.Cubic([5, 5, 5]) >>> pn.add_model(propname='pore.seed', ... model=op.models.misc.random, ... element='pore', ... num_range=[0.1, 0.9]) Upon being added to the object the models are run. The resulting data is placed into the object using the ``propname`` as a key. Inspecting the object reveals that these two data items are indeed present. >>> print(pn.props()) ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― 1 : pore.coords 2 : pore.seed 3 : throat.conns ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― The actual models and their respective parameters are also stored on the object under the ``models`` attribute, which is dictionary with the same keys as the ``propnames``. This can also be inspected: >>> print(pn.models) ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― # Property Name Parameter Value ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― 1 pore.coordination_number model: coordination_number regeneration mode: explicit ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― 2 pore.seed model: random element: pore num_range: [0.1, 0.9] seed: None regeneration mode: normal ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― Note that the model 'pore.coordination_number' is added to all GenericNetworks upon instantiation, but not run. This is why the model appears in the ``models`` attribute but the data does not yet appear when the ``props`` method is called. Finally, any of the models parameters can be edited by reaching into the ``models`` dictionary as follows: >>> pn.models['pore.seed']['num_range'] = [0.5, 0.9] The ``'pore.seed'`` values must be regenerated for this new parameter to take effect, and the ``'pore.diameter'`` model must also be regenerated to utilized the new seeds. This is accomplished using ``regenerate_models`` which automatically ensures that models are called in the correct order. >>> pn.regenerate_models() """ from . import misc from . import topology from . import geometry from . import phases from . import physics

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896ab830d31d4ae0126e9da6fffd5ca1f79bc426

241

py

Python

users/admin.py

ananthan-123/react-django

5305649f1d39e1f5b62eb17a4f40f67fe7cfd14b

[ "MIT" ]

null

users/admin.py

ananthan-123/react-django

5305649f1d39e1f5b62eb17a4f40f67fe7cfd14b

[ "MIT" ]

null

users/admin.py

ananthan-123/react-django

5305649f1d39e1f5b62eb17a4f40f67fe7cfd14b

[ "MIT" ]

null

from django.contrib import admin from .models import Patient, Doctor, UserInfo,Admin_Users # Register your models here. admin.site.register(UserInfo) admin.site.register(Patient) admin.site.register(Doctor) admin.site.register(Admin_Users)

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896c2ace62a35c240bb8d02122b9fd8d32e9885a

830

py

Python

xcparse/Xcode/XCSchemeActions/__init__.py

samdmarshall/xcparser

4f78af149127325e60e3785b6e09d6dbfeedc799

[ "BSD-3-Clause" ]

59

2015-02-27T21:45:37.000Z

2021-03-16T04:37:40.000Z

xcparse/Xcode/XCSchemeActions/__init__.py

samdmarshall/xcparser

4f78af149127325e60e3785b6e09d6dbfeedc799

[ "BSD-3-Clause" ]

14

2015-03-02T18:53:51.000Z

2016-07-19T23:20:23.000Z

xcparse/Xcode/XCSchemeActions/__init__.py

samdmarshall/xcparser

4f78af149127325e60e3785b6e09d6dbfeedc799

[ "BSD-3-Clause" ]

8

2015-03-02T02:32:09.000Z

2017-07-31T21:14:51.000Z

# from .Base_Action import * # # from .BuildAction import * # from .TestAction import * # from .LaunchAction import * # from .ProfileAction import * # from .AnalyzeAction import * # from .ArchiveAction import * # # from .BuildActionEntry import * # from .BuildableReference import * # from .BuildableProductRunnable import * # from .Testables import * from Base_Action import Base_Action # from BuildAction import BuildAction # from TestAction import TestAction # from LaunchAction import LaunchAction # from ProfileAction import ProfileAction # from AnalyzeAction import AnalyzeAction # from ArchiveAction import ArchiveAction # # from BuildActionEntry import BuildActionEntry # from BuildableReference import BuildableReference # from BuildableProductRunnable import BuildableProductRunnable # from Testables import Testables

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89b3d9bc6b5d43822983d256ef5a1dde3cbecc59

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py

Python

python3/PipeLikeInput.py

christianpopescu/PythonHelper

e6e647075dffeefc1c4375d25a604a2ae80bdd4d

[ "MIT" ]

null

python3/PipeLikeInput.py

christianpopescu/PythonHelper

e6e647075dffeefc1c4375d25a604a2ae80bdd4d

[ "MIT" ]

null

python3/PipeLikeInput.py

christianpopescu/PythonHelper

e6e647075dffeefc1c4375d25a604a2ae80bdd4d

[ "MIT" ]

null

import sys for line in sys.stdin: sys.stdout.write(line) sys.stdout.write("x\n")

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89b8b28842383544b2dc122f5e744290238f974d

51

py

Python

tests/__init__.py

drinksober/django-impala-backend

8d8d44211905dd92a721acc9c3e24dd743ae6d75

[ "MIT" ]

1

2020-09-02T08:36:41.000Z

tests/__init__.py

me-drinks/django-impala-backend

8d8d44211905dd92a721acc9c3e24dd743ae6d75

[ "MIT" ]

null

tests/__init__.py

me-drinks/django-impala-backend

8d8d44211905dd92a721acc9c3e24dd743ae6d75

[ "MIT" ]

null

"""Unit test package for django_impala_backend."""

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null

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1

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982716784cfedb3163df81545e6a24d0137dcca9

85

py

Python

socceraction/atomic/__init__.py

pientist/socceraction

7f8e666ee5da7c1890c72a2c72042d4c73b90fda

[ "MIT" ]

371

2019-07-25T07:35:00.000Z

2022-03-25T11:13:56.000Z

socceraction/atomic/__init__.py

pientist/socceraction

7f8e666ee5da7c1890c72a2c72042d4c73b90fda

[ "MIT" ]

145

2019-08-29T12:49:55.000Z

2022-03-31T09:35:05.000Z

socceraction/atomic/__init__.py

denisov-vlad/socceraction

0b03bc230bebb7e830d65aa231d961b879b828fb

[ "MIT" ]

101

2019-08-20T21:07:34.000Z

2022-03-26T10:00:00.000Z

# -*- coding: utf-8 -*- """Implements Atomic-SPADL and the Atomic-VAEP framework."""

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982b583404e17569522eb8d5cb12cb7330c30af5

132

py

Python

platform/msb430/buildscripts/jtag/pyjtag/setup.py

s3lsensor/CEE155_SensorDeployLab_b

ad2d9ccf13ecfacb0a73115548fccfee3120f2a1

[ "Apache-2.0" ]

5

2016-05-20T10:40:23.000Z

2019-11-04T20:46:58.000Z

platform/msb430/buildscripts/jtag/pyjtag/setup.py

s3lsensor/CEE155_SensorDeployLab_b

ad2d9ccf13ecfacb0a73115548fccfee3120f2a1

[ "Apache-2.0" ]

6

2016-02-18T22:29:26.000Z

2016-02-18T22:31:54.000Z

platform/msb430/buildscripts/jtag/pyjtag/setup.py

s3lsensor/CEE155_SensorDeployLab_b

ad2d9ccf13ecfacb0a73115548fccfee3120f2a1

[ "Apache-2.0" ]

7

2015-11-24T23:09:12.000Z

2022-02-18T07:56:02.000Z

# setup.py from distutils.core import setup import glob import py2exe setup( name="msp430-jtag", scripts=["jtag.py"], )

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132

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132

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0

1

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null

0

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0

4

983be58bb63dc7b647ea00d07052aed03e33357c

225

py

Python

Mundo 1/desafios/desafio003_soma de dois numeros.py

marioarl/python

0bd677cdbec87e9603866c09cb8009fef295b89b

[ "MIT" ]

1

2021-11-21T21:04:04.000Z

Mundo 1/desafios/desafio003_soma de dois numeros.py

marioarl/python

0bd677cdbec87e9603866c09cb8009fef295b89b

[ "MIT" ]

null

Mundo 1/desafios/desafio003_soma de dois numeros.py

marioarl/python

0bd677cdbec87e9603866c09cb8009fef295b89b

[ "MIT" ]

null

print('\033[1;35m#\033[m'*10, '\033[1;30;46mDESAFIO 03\033[m', '\033[1;35m#\033[m'*10) n1 = int(input('\033[1;33mPrimeiro numero:\033[m ')) n2 = int(input('\033[1;36mSegundo numero:\033[m ')) r = n1 + n2 print('A soma é', r)

37.5

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225

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984b8c04887c7501cecb6fde367655eeb502c29a

153

py

Python

src/tests/functional/orga/test_init.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

src/tests/functional/orga/test_init.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

src/tests/functional/orga/test_init.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

import pytest from django.core.management import call_command @pytest.mark.django_db def test_frab_import_minimal(superuser): call_command('init')

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5.409091

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7

48

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null

0

1

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1

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4

986332363d33a9f488a6d0159f4d3cda7543cedb

316

py

Python

butterfree/transform/features/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

208

2020-07-17T18:46:10.000Z

2022-03-21T12:44:12.000Z

butterfree/transform/features/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

124

2020-07-17T19:42:47.000Z

2021-07-21T00:38:05.000Z

butterfree/transform/features/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

30

2020-07-17T20:24:09.000Z

2022-03-17T00:50:37.000Z

"""Holds all feature types to be part of a FeatureSet.""" from butterfree.transform.features.feature import Feature from butterfree.transform.features.key_feature import KeyFeature from butterfree.transform.features.timestamp_feature import TimestampFeature __all__ = ["Feature", "KeyFeature", "TimestampFeature"]

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6.864865

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null

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4

9882a6621e2f9d2ca4d617578cd087b3c1b9a289

74

py

Python

test/test_resources/python-unittest/py_several_files2/Root/application.py

jocelyn/codeboard_mantra

05a4c783dbae8d87b55c834382d8d12f957ffea9

[ "MIT" ]

1

2019-01-12T02:57:53.000Z

test/test_resources/python-unittest/py_several_files2/Root/application.py

jocelyn/codeboard_mantra

05a4c783dbae8d87b55c834382d8d12f957ffea9

[ "MIT" ]

1

2017-10-13T11:57:41.000Z

test/test_resources/python-unittest/py_several_files2/Root/application.py

jocelyn/codeboard_mantra

05a4c783dbae8d87b55c834382d8d12f957ffea9

[ "MIT" ]

6

2017-10-13T11:27:58.000Z

2020-10-06T19:06:22.000Z

from b import foo from c import bar1 foo() bar1() print "Goodbye, World!"

12.333333

23

0.716216

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74

4.076923

0.692308

0

0.032787

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74

6

23

12.333333

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null

0

1

0

null

0

1

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1

0

4

98b84f2d00e3ba83b7f11923d13f3649921ba036

632

py

Python

generated-libraries/python/netapp/net/device_capability.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

2

2017-03-28T15:31:26.000Z

2018-08-16T22:15:18.000Z

generated-libraries/python/netapp/net/device_capability.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

generated-libraries/python/netapp/net/device_capability.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

class DeviceCapability(basestring): """ router|trans-bridge|source-route-bridge|switch|host|igmp|repeater|phone Possible values: <ul> <li> "router" - Router, <li> "trans_bridge" - Trans Bridge, <li> "source_route_bridge" - Source Route Bridge, <li> "switch" - Switch, <li> "host" - Host, <li> "igmp" - IGMP, <li> "repeater" - Repeater, <li> "phone" - Phone </ul> """ @staticmethod def get_api_name(): return "device-capability"

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true

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null

0

null

0

1

0

1

0

4

7f30a1684896d53f541a481dace286d253b53f59

329

py

Python

core/interface/action.py

caostorm/smng

f1cff4010a0645ae8e1182cd3c961d97cecf4a6e

[ "MIT" ]

null

core/interface/action.py

caostorm/smng

f1cff4010a0645ae8e1182cd3c961d97cecf4a6e

[ "MIT" ]

null

core/interface/action.py

caostorm/smng

f1cff4010a0645ae8e1182cd3c961d97cecf4a6e

[ "MIT" ]

1

2019-06-26T13:05:45.000Z

#coding=utf-8 from abc import ABCMeta, abstractmethod class server_action(object): __metaclass__ = ABCMeta def __init__(self): pass @abstractmethod def description(self): pass @abstractmethod def parse_parameters(self): pass @abstractmethod def run(self): pass

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20

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1

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null

0

1

0

1

0

4

7f3641e14ab8c811d8f476458187baa315cf5ceb

207

py

Python

otx_weblink/serializers.py

NYULibraries/dlts-enm-tct-backend

07455a660fb2cb8bc91a54f7f12d150923678157

[ "Apache-2.0" ]

null

otx_weblink/serializers.py

NYULibraries/dlts-enm-tct-backend

07455a660fb2cb8bc91a54f7f12d150923678157

[ "Apache-2.0" ]

2

2017-10-30T21:19:07.000Z

2017-10-31T18:06:30.000Z

otx_weblink/serializers.py

NYULibraries/dlts-enm-tct-backend

07455a660fb2cb8bc91a54f7f12d150923678157

[ "Apache-2.0" ]

null

from rest_framework import serializers from .models import Weblink class WeblinkSerializer(serializers.ModelSerializer): class Meta: model = Weblink fields = ('id', 'content', 'url')

20.7

53

0.700483

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207

6.857143

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207

9

54

23

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1

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false

0

0.333333

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null

0

1

0

null

0

1

0

1

0

4

7f869c0af68af9c1d7d792cbc21f501afee6f342

185

py

Python

testName.py

zafar21/Automatic-Form-Filler

4cb7f7d62e5b0927309eb17411ffd14343fcdeb4

[ "MIT" ]

null

testName.py

zafar21/Automatic-Form-Filler

4cb7f7d62e5b0927309eb17411ffd14343fcdeb4

[ "MIT" ]

null

testName.py

zafar21/Automatic-Form-Filler

4cb7f7d62e5b0927309eb17411ffd14343fcdeb4

[ "MIT" ]

null

import pyautogui import time pyautogui.click(300, 400) pyautogui.hotkey('ctrl', 'f') time.sleep(.200) pyautogui.typewrite('email') time.sleep(.200) pyautogui.locateOnScreen('mail.png')

20.555556

36

0.767568

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185

5.68

0.64

0.126761

0.169014

0.295775

0

0.069364

0.064865

185

8

37

23.125

0.751445

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true

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null

0

1

0

1

0

null

0

1

0

4

7f8763673577a30d433ba355c7239e3606ba5069

236

py

Python

vspkgenerator/vanilla/python/__overrides/nume.override.py

pdumais/vspkgenerator

b8fff474f4ef3d8a4278f9c116df01d057c56995

[ "BSD-3-Clause" ]

2

2015-10-10T08:59:39.000Z

2015-10-22T09:33:01.000Z

vspkgenerator/vanilla/python/__overrides/nume.override.py

rajeshnokia/vspkgenerator

b8fff474f4ef3d8a4278f9c116df01d057c56995

[ "BSD-3-Clause" ]

16

2015-11-05T13:15:30.000Z

2019-09-24T23:48:54.000Z

vspkgenerator/vanilla/python/__overrides/nume.override.py

pdumais/vspkgenerator

b8fff474f4ef3d8a4278f9c116df01d057c56995

[ "BSD-3-Clause" ]

13

2015-11-18T08:03:44.000Z

2020-12-24T03:39:29.000Z

def save(self, as_async=False, callback=None, **kwargs): """ """ if 'async' in kwargs.keys() and not as_async: as_async = kwargs['async'] super(NUMe, self).save(as_async=as_async, callback=callback, encrypted=False)

39.333333

81

0.665254

34

236

4.470588

0.5

0.230263

0.118421

0.184211

0

0.173729

236

5

82

47.2

0.779487

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0.043668

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0.25

false

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0.25

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1

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1

0

1

0

null

0

1

0

4

f68c7b6a1c337b78b3059bef1f2eeb2a9a2ad6e5

208

py

Python

stackoverflow/__init__.py

wereii/we-cogs

327ef21f0a777b7411bbe51f6df69ef46433f597

[ "MIT" ]

null

stackoverflow/__init__.py

wereii/we-cogs

327ef21f0a777b7411bbe51f6df69ef46433f597

[ "MIT" ]

1

2019-11-13T18:55:10.000Z

stackoverflow/__init__.py

wereii/we-cogs

327ef21f0a777b7411bbe51f6df69ef46433f597

[ "MIT" ]

null

# This init is required for each cog. # Import your main class from the cog's folder. from .stackoverflow import StackOverflow def setup(bot): # Add the cog to the bot. bot.add_cog(StackOverflow())

23.111111

47

0.725962

33

208

4.545455

0.636364

0.08

0

0.197115

208

8

48

26

0.898204

0.504808

0

1

0.333333

false

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

4

f697747af011ec78b14bc18aa233c9ce0da6df30

205

py

Python

tests/unit/test_module.py

briancline/jmap

475198b5598c0fa4ae9c44d9dfcac88e36fe8ef1

[ "MIT" ]

6

2017-07-31T20:01:59.000Z

2021-07-10T21:48:11.000Z

tests/unit/test_module.py

briancline/jmap

475198b5598c0fa4ae9c44d9dfcac88e36fe8ef1

[ "MIT" ]

1

2017-05-13T07:30:00.000Z

tests/unit/test_module.py

briancline/jmap

475198b5598c0fa4ae9c44d9dfcac88e36fe8ef1

[ "MIT" ]

3

2017-10-31T15:25:55.000Z

2020-12-10T16:58:52.000Z

import unittest import jmap class TestModule(unittest.TestCase): def test_module_semantic_version(self): ver_info = jmap.VERSION.split('.') self.assertGreaterEqual(len(ver_info), 3)

20.5

49

0.721951

25

205

5.72

0.72

0.097902

0

0.005917

0.17561

205

9

50

22.777778

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0

0.004878

0

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0.166667

false

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0

1

0

null

0

1

0

1

0

4

f6eadc908b3d82e2b72632699e16d0a7a0e120a2

207

py

Python

Companyname/appgestion/admin.py

friedrrich/DesarrolloWebTest

43425c7c5c9edf06aabb3c6e499dd72df89ee369

[ "Apache-2.0" ]

null

Companyname/appgestion/admin.py

friedrrich/DesarrolloWebTest

43425c7c5c9edf06aabb3c6e499dd72df89ee369

[ "Apache-2.0" ]

null

Companyname/appgestion/admin.py

friedrrich/DesarrolloWebTest

43425c7c5c9edf06aabb3c6e499dd72df89ee369

[ "Apache-2.0" ]

null

from django.contrib import admin # Register your models here. from appgestion.models import Cliente,Articulo,Pedido admin.site.register(Articulo) admin.site.register(Cliente) admin.site.register(Pedido)

18.818182

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0.816425

28

207

6.035714

0.5

0.159763

0.301775

0

0.096618

207

10

54

20.7

0.903743

0.125604

0

1

0

true

0

0.4

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0.4

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1

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null

0

1

0

null

0

1

0

1

0

4

100ad66b5c3e9588877b9fc6e88bd19765cc8458

240

py

Python

tests/wintools/test_file.py

yukkun007/wintools

df6521e91a3dc2c34e5fc599abbc4ea81dedc313

[ "MIT" ]

null

tests/wintools/test_file.py

yukkun007/wintools

df6521e91a3dc2c34e5fc599abbc4ea81dedc313

[ "MIT" ]

7

2021-09-27T20:48:49.000Z

2021-10-07T15:10:01.000Z

tests/wintools/test_file.py

mozkzki/wintools

df6521e91a3dc2c34e5fc599abbc4ea81dedc313

[ "MIT" ]

null

from wintools import print_files_info, print_info FILES = ["./tests/resources/test.iso"] class TestFile: def test_print_files_info(self): print_files_info(FILES) def test_print_info(self): print_info("./tests")

18.461538

49

0.704167

33

240

4.787879

0.424242

0.189873

0.265823

0

0.1875

240

12

50

20

0.810256

0

0.1375

0.108333

0

1

0.285714

false

0

0.142857

0

0.571429

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

63e59bcf514276993297b798e6a593c65dcfaa90

101

py

Python

backendcode/backendcode/meetingbotapi/apps.py

khadarkhaja/vergadering

c0e32868f9f66721c4d1ce4785a2c81f214cff0d

[ "Apache-2.0" ]

null

backendcode/backendcode/meetingbotapi/apps.py

khadarkhaja/vergadering

c0e32868f9f66721c4d1ce4785a2c81f214cff0d

[ "Apache-2.0" ]

3

2020-06-05T17:52:31.000Z

2021-06-10T20:01:01.000Z

backendcode/backendcode/meetingbotapi/apps.py

KhadarKR/vergadering

c0e32868f9f66721c4d1ce4785a2c81f214cff0d

[ "Apache-2.0" ]

2

2018-03-09T16:07:53.000Z

2018-03-09T16:23:49.000Z

from django.apps import AppConfig class MeetingbotapiConfig(AppConfig): name = 'meetingbotapi'

16.833333

37

0.782178

10

101

7.9

0.9

0

0.148515

101

5

38

20.2

0.918605

0

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0

1

0

false

0

0.333333

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

63eafa1370aec52376e0eb5249d8c5a03ab04f00

3,652

py

Python

fkie_node_manager_daemon/src/fkie_node_manager_daemon/exceptions.py

stertingen/multimaster_fkie

95c2f5fae71c8337cc18b02db4e529b6900a91b2

[ "BSD-3-Clause" ]

1

2021-12-17T17:16:52.000Z

fkie_node_manager_daemon/src/fkie_node_manager_daemon/exceptions.py

stertingen/multimaster_fkie

95c2f5fae71c8337cc18b02db4e529b6900a91b2

[ "BSD-3-Clause" ]

null

fkie_node_manager_daemon/src/fkie_node_manager_daemon/exceptions.py

stertingen/multimaster_fkie

95c2f5fae71c8337cc18b02db4e529b6900a91b2

[ "BSD-3-Clause" ]

null

# Software License Agreement (BSD License) # # Copyright (c) 2018, Fraunhofer FKIE/CMS, Alexander Tiderko # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Fraunhofer nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. from __future__ import division, absolute_import, print_function, unicode_literals from .common import utf8 class ListSelectionRequest(Exception): ''' ''' def __init__(self, choices, error): Exception.__init__(self) self.choices = choices self.error = error def __repr__(self): return "%s <choices=%s>::%s" % (self.__class__, utf8(self.choices), repr(self.error)) def __str__(self): return self.error class BinarySelectionRequest(ListSelectionRequest): pass class LaunchSelectionRequest(ListSelectionRequest): pass class ParamSelectionRequest(ListSelectionRequest): pass class StartException(Exception): pass class AlreadyOpenException(Exception): def __init__(self, path, error): Exception.__init__(self) self.path = path self.error = error def __repr__(self): return "%s <path=%s>::%s" % (self.__class__, utf8(self.path), repr(self.error)) def __str__(self): return self.error class ResourceNotFound(AlreadyOpenException): pass class RemoteException(Exception): def __init__(self, code, error): Exception.__init__(self) self.code = code self.error = error def __repr__(self): return "%s <code=%s>::%s" % (self.__class__, self.code, repr(self.error)) def __str__(self): return self.error class ConnectionException(Exception): def __init__(self, remote, error): Exception.__init__(self) self.remote = remote self.error = error def __repr__(self): return "%s %s::%s" % (self.__class__, self.remote, repr(self.error)) def __str__(self): return self.error class GrpcTimeout(Exception): def __init__(self, remote, error): Exception.__init__(self) self.remote = remote self.error = error def __repr__(self): return "%s <%s>::%s" % (self.__class__, utf8(self.remote), repr(self.error)) def __str__(self): return self.error

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63ebfe56217de2a71b781d285b140d7ffc405647

117

py

Python

run.py

manugraj/ganimede

2a9288d01768e09ef8f94252165960c78ab88df1

[ "MIT" ]

3

2021-06-23T06:08:58.000Z

2022-01-15T20:56:54.000Z

run.py

manugraj/ganimede

2a9288d01768e09ef8f94252165960c78ab88df1

[ "MIT" ]

2

2021-06-13T07:05:34.000Z

2021-06-23T05:39:10.000Z

run.py

manugraj/ganimede

2a9288d01768e09ef8f94252165960c78ab88df1

[ "MIT" ]

1

2022-02-01T08:32:59.000Z

import uvicorn import src.main if __name__ == '__main__': uvicorn.run(src.main.app, host='0.0.0.0', port=8000)

16.714286

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20

117

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63fdd3f4280910bb636973ee1df67b1888e017fe

340

py

Python

celery_project/tools/exceptions.py

JasonLearning/dzdp_spider

2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7

[ "Apache-2.0" ]

null

celery_project/tools/exceptions.py

JasonLearning/dzdp_spider

2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7

[ "Apache-2.0" ]

null

celery_project/tools/exceptions.py

JasonLearning/dzdp_spider

2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7

[ "Apache-2.0" ]

null

# !/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 17/2/17 下午2:39 # @Author : Jason # @File : exceptions.py class InvalidGoodUrlException(Exception): pass class InvalidCategoryUrlException(Exception): pass class DocumentNotFoundException(Exception): pass class InvalidParamException(Exception): pass

15.454545

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0.197059

340

21

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0.5

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null

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null

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4

121240feaf02f8178ec17474cc615822de1faa36

411

py

Python

twikwak17/phases/__init__.py

shaypal5/gender_augmented_twitter_network

3a33feb4dfdb9413201d7844a15ecacf21ef9ba0

[ "MIT" ]

null

twikwak17/phases/__init__.py

shaypal5/gender_augmented_twitter_network

3a33feb4dfdb9413201d7844a15ecacf21ef9ba0

[ "MIT" ]

null

twikwak17/phases/__init__.py

shaypal5/gender_augmented_twitter_network

3a33feb4dfdb9413201d7844a15ecacf21ef9ba0

[ "MIT" ]

null

"""The different phases of the data generation pipeline.""" from .phase1 import ( # noqa: F401 phase1, ) from .phase2 import ( # noqa: F401 phase2, ) from .phase3 import ( # noqa: F401 phase3, ) from .phase4 import ( # noqa: F401 phase4, ) from .phase5 import ( # noqa: F401 phase5, ) from .phase6 import ( # noqa: F401 phase6, ) from .phase7 import ( # noqa: F401 phase7, )

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411

5.1

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0.115132

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411

23

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0.723684

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true

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null

1

0

null

0

1

0

1

0

4

1221ab57e777c610f8f73a258240f6686a45ed69

65

py

Python

nestor/datasets/__init__.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

16

2018-07-06T16:36:56.000Z

2021-12-13T03:02:02.000Z

nestor/datasets/__init__.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

46

2018-08-06T15:51:35.000Z

2021-08-02T21:00:51.000Z

nestor/datasets/__init__.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

7

2020-04-27T18:56:24.000Z

2021-08-14T02:44:40.000Z

from .base import load_excavators __all__ = ["load_excavators"]

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null

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