xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b6e9878f20ac3e3cd4aaec8c83dccdbacf66132f

247

py

Python

week2/q4_get_ios_version.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

week2/q4_get_ios_version.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

week2/q4_get_ios_version.py

gerards/pynet_learning_python

eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20

[ "Apache-2.0" ]

null

#!/usr/bin/env python cisco_ios = "Cisco IOS Software, C880 Software (C880DATA-UNIVERSALK9-M), Version 15.0(1)M4, RELEASE SOFTWARE (fc1)" cisco_ios_split = cisco_ios.split(",") cisco_ios_version = cisco_ios_split[2][9:] print(cisco_ios_version)

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247

4.45

0.55

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247

7

116

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null

0

5

8e2cf9d755d0eff8e291ea22682d868c3ee8aeab

179

py

Python

lilu/data_layer/__init__.py

xyla-io/lambda_lilu

b7b7e216d5538f1f75e3f416200e8e21971da801

[ "MIT" ]

null

lilu/data_layer/__init__.py

xyla-io/lambda_lilu

b7b7e216d5538f1f75e3f416200e8e21971da801

[ "MIT" ]

null

lilu/data_layer/__init__.py

xyla-io/lambda_lilu

b7b7e216d5538f1f75e3f416200e8e21971da801

[ "MIT" ]

null

from .base import get_connection, run_query from .query import Query, UnloadQuery from .locator import ResourceLocator, locator_factory from .encryptor import Encryptor, Decryptor

44.75

53

0.849162

23

179

6.478261

0.565217

0

0.106145

179

4

54

44.75

0.93125

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

8e2ed62cf5c7ff2c8781bf65ada26e0c427627d5

70

py

Python

DelibeRating/DelibeRating/deliberating-env/Lib/site-packages/etc/admin/__init__.py

Severose/DelibeRating

5d227f35c071477ce3fd6fbf3ab13a44d13f6e08

[ "MIT" ]

25

2015-02-07T15:42:06.000Z

2022-03-26T02:28:06.000Z

DelibeRating/DelibeRating/deliberating-env/Lib/site-packages/etc/admin/__init__.py

Severose/DelibeRating

5d227f35c071477ce3fd6fbf3ab13a44d13f6e08

[ "MIT" ]

3

2017-01-06T20:34:13.000Z

2021-05-11T02:24:22.000Z

DelibeRating/DelibeRating/deliberating-env/Lib/site-packages/etc/admin/__init__.py

Severose/DelibeRating

5d227f35c071477ce3fd6fbf3ab13a44d13f6e08

[ "MIT" ]

2

2016-07-28T01:54:13.000Z

2017-02-13T20:55:19.000Z

from .admins import ReadonlyAdmin from .models import CustomModelPage

23.333333

35

0.857143

8

70

7.5

0.75

0

0.114286

70

2

36

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1

0

null

0

1

0

1

0

1

0

5

f3eb4e3918459a643463c51604fd255e29269ec2

83

py

Python

shawty/shawtier/admin.py

SimeonAleksov/shawty

9c51c0c0d64950045d5b7edf8bf86c4e084e5920

[ "Apache-2.0" ]

null

shawty/shawtier/admin.py

SimeonAleksov/shawty

9c51c0c0d64950045d5b7edf8bf86c4e084e5920

[ "Apache-2.0" ]

3

2022-02-28T12:04:19.000Z

2022-03-02T12:05:29.000Z

shawty/shawtier/admin.py

SimeonAleksov/shawty

9c51c0c0d64950045d5b7edf8bf86c4e084e5920

[ "Apache-2.0" ]

null

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

16.6

32

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13

83

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0.692308

0

0.120482

83

4

33

20.75

0.917808

0

1

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true

0

0.666667

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null

0

1

0

1

0

1

0

5

6d1088e56a5fe1bed7744c4663523cae8c8712bb

32

py

Python

src/finance_stats/hedge_calculator/__init__.py

pralphv/hkportfolioanalysis-backend

6dbf6f17e6ebd95e28ee042126b34408dde4f520

[ "MIT" ]

null

src/finance_stats/hedge_calculator/__init__.py

pralphv/hkportfolioanalysis-backend

6dbf6f17e6ebd95e28ee042126b34408dde4f520

[ "MIT" ]

1

2021-03-31T19:44:25.000Z

src/finance_stats/hedge_calculator/__init__.py

pralphv/hkportfolioanalysis-backend

6dbf6f17e6ebd95e28ee042126b34408dde4f520

[ "MIT" ]

1

2020-11-27T17:56:38.000Z

from .api import calculate_hedge

32

0.875

5

32

5.4

1

0

0.09375

32

1

32

0.931034

0

1

0

true

0

1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6d4b95e696b64ffb77adec9258868866f20a355c

2,699

py

Python

src/Program/Python/Testing/verifyOutputTest.py

smiths/swhs

a0d54b30b0c624c61ad3b3c2aa182b2dd193d51c

[ "BSD-2-Clause" ]

2

2017-02-22T16:14:51.000Z

2021-11-02T20:33:26.000Z

src/Program/Python/Testing/verifyOutputTest.py

smiths/swhs

a0d54b30b0c624c61ad3b3c2aa182b2dd193d51c

[ "BSD-2-Clause" ]

52

2016-05-31T15:09:18.000Z

2018-10-29T20:50:31.000Z

src/Program/Python/Testing/verifyOutputTest.py

smiths/swhs

a0d54b30b0c624c61ad3b3c2aa182b2dd193d51c

[ "BSD-2-Clause" ]

3

2016-06-10T12:52:58.000Z

2020-11-14T14:39:38.000Z

import sys sys.path.insert(0, '.') import unittest import load_params import warnings import verify_output class TestVerifyOutput(unittest.TestCase): def setUp(self): self.params = load_params.load_params('test.in') self.time = [0, 10, 20, 30] self.tempW = [40, 42, 44, 46] self.tempP = [40, 41.9, 43.8, 45.7] def test_VO1(self): eW = [0, 1000, 2000, 19800] eP = [0, 1000, 2000, 5400] with warnings.catch_warnings(record=True) as w: verify_output.verify_output(self.time, self.tempW, self.tempP, eW, eP, self.params) assert len(w) is 0 def test_VO2(self): eW = [0, 1000, 2000, 19800] eP = [0, 1000, 2000, 3000] with warnings.catch_warnings(record=True) as w: verify_output.verify_output(self.time, self.tempW, self.tempP, eW, eP, self.params) assert issubclass(w[0].category, UserWarning) assert ('There is > ' + str(self.params.ConsTol) + '% relative error between the energy in the PCM output' + ' and the expected output based on the law of conservation of energy.\n') in str(w[0].message) def test_VO3(self): eW = [0, 1000, 2000, 3000] eP = [0, 1000, 2000, 5400] with warnings.catch_warnings(record=True) as w: verify_output.verify_output(self.time, self.tempW, self.tempP, eW, eP, self.params) assert issubclass(w[0].category, UserWarning) assert ('There is > ' + str(self.params.ConsTol) + '% relative error between the energy in the water ' + 'output and the expected output based on the law of conservation of energy.\n') in str(w[0].message) def test_VO4(self): eW = [0, 1000, 2000, 3000] eP = [0, 1000, 2000, 3000] with warnings.catch_warnings(record=True) as w: verify_output.verify_output(self.time, self.tempW, self.tempP, eW, eP, self.params) assert issubclass(w[0].category, UserWarning) assert issubclass(w[1].category, UserWarning) assert ('There is > ' + str(self.params.ConsTol) + '% relative error between the energy in the water ' + 'output and the expected output based on the law of conservation of energy.\n') in str(w[0].message) assert ('There is > ' + str(self.params.ConsTol) + '% relative error between the energy in the PCM output' + ' and the expected output based on the law of conservation of energy.\n') in str(w[1].message) class VerifyOutputSuite: def suite(self): suite = unittest.TestLoader().loadTestsFromTestCase(TestVerifyOutput) return suite

44.245902

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2,699

4.455764

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0.064982

0.043321

0.026474

0.77136

0

0.073367

0.26269

2,699

60

121

44.983333

0.761809

0

0.510204

0

0.203038

0

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1

0.122449

false

0

0.102041

0

0.285714

0

null

0

1

0

null

0

5

6d5c35ff6829c5765c3a0ed476fe6304a691ac90

398

py

Python

dictionary/migrations/__init__.py

Sanquira/immortalfighters

388018bfb5df4e4fdadb866a599b46e0387add6e

[ "MIT" ]

null

dictionary/migrations/__init__.py

Sanquira/immortalfighters

388018bfb5df4e4fdadb866a599b46e0387add6e

[ "MIT" ]

5

2020-02-20T10:20:33.000Z

2021-09-22T18:43:04.000Z

dictionary/migrations/__init__.py

Sanquira/immortalfighters

388018bfb5df4e4fdadb866a599b46e0387add6e

[ "MIT" ]

null

# migrations.RunPython(race.initialize_races), # migrations.RunPython(profession.init_professions), # migrations.RunPython(spell.initialize_spell_directions), # migrations.RunPython(skill.init_ranks_and_difficulty), # migrations.RunPython(skill.init_skills), # migrations.RunPython(beast.init_weakness), # migrations.RunPython(sizes.init_creature_size), # migrations.RunPython(beast.init_category)

44.222222

58

0.841709

44

398

7.340909

0.477273

0.470588

0.148607

0.173375

0

0.040201

398

8

59

49.75

0.84555

0.957286

0

null

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null

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null

true

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null

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1

0

1

0

null

0

1

0

5

ed9e3d6c0a831d327d2dee103f92d12b215ce0e9

81

py

Python

mergesort/merge_sort_test.py

timpel/stanford-algs

7f9fc499adfb0540e43f7f6f049bfc7aeb11ada5

[ "MIT" ]

null

mergesort/merge_sort_test.py

timpel/stanford-algs

7f9fc499adfb0540e43f7f6f049bfc7aeb11ada5

[ "MIT" ]

null

mergesort/merge_sort_test.py

timpel/stanford-algs

7f9fc499adfb0540e43f7f6f049bfc7aeb11ada5

[ "MIT" ]

null

import merge_sort for n in [2**n for n in range(20)]: merge_sort.main(n, False)

20.25

35

0.703704

18

81

3.055556

0.611111

0.327273

0.218182

0

0.044118

0.160494

81

4

36

20.25

0.764706

0

1

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false

0

0.333333

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0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

eda3668a26c4a4cf47dbb18dbb863fcd34eb8d7f

512

py

Python

sensu_plugin/__init__.py

tubular/sensu-plugin-python

d41a446c59190359e413915fd5bd5128d950eb3e

[ "MIT" ]

35

2015-01-11T13:34:32.000Z

2017-04-28T11:20:02.000Z

sensu_plugin/__init__.py

tubular/sensu-plugin-python

d41a446c59190359e413915fd5bd5128d950eb3e

[ "MIT" ]

42

2017-10-02T12:05:15.000Z

2021-03-22T21:20:54.000Z

sensu_plugin/__init__.py

tubular/sensu-plugin-python

d41a446c59190359e413915fd5bd5128d950eb3e

[ "MIT" ]

14

2017-10-02T08:51:44.000Z

2022-02-12T16:36:55.000Z

"""This module provides helpers for writing Sensu plugins""" from sensu_plugin.plugin import SensuPlugin from sensu_plugin.check import SensuPluginCheck from sensu_plugin.metric import SensuPluginMetricGeneric from sensu_plugin.metric import SensuPluginMetricGraphite from sensu_plugin.metric import SensuPluginMetricInfluxdb from sensu_plugin.metric import SensuPluginMetricJSON from sensu_plugin.metric import SensuPluginMetricStatsd from sensu_plugin.handler import SensuHandler import sensu_plugin.pushevent

46.545455

60

0.888672

60

512

7.433333

0.383333

0.221973

0.269058

0.235426

0.302691

0

0.082031

512

10

61

51.2

0.948936

0.105469

0

1

0

true

0

1

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1

0

null

1

0

null

0

1

0

1

0

5

eda84932031b6dcc698b6a073ca9fd78111f67a9

6,228

py

Python

tests/test_match_simulation.py

pitzer42/mini-magic

e12d27034bff433b453daac7ab4e8f920cc27c14

[ "MIT" ]

null

tests/test_match_simulation.py

pitzer42/mini-magic

e12d27034bff433b453daac7ab4e8f920cc27c14

[ "MIT" ]

1

2021-06-01T22:26:08.000Z

tests/test_match_simulation.py

pitzer42/mini-magic

e12d27034bff433b453daac7ab4e8f920cc27c14

[ "MIT" ]

null

import tests.scenarios as scenarios from tests.api_test_case import APITestCase from entities import Match, Player import events class TestHappyPath(APITestCase): @classmethod def setUpClass(cls): scenarios.two_players() def match_setup(self): match_id = self.post_to_create_a_new_match() self.post_player_1_setup(match_id) self.post_player_2_prompt(match_id) return match_id def post_to_create_a_new_match(self): response = self.assertPost201('/matches') self.assertJson(response, '_id') match_id = response.json()['_id'] self.assertGet200('/matches/' + match_id) return match_id def post_player_1_setup(self, match_id): request_data = {'player_id': 1, 'deck_id': 1} self.assertPost200('/matches/'+match_id+'/join', json=request_data) response = self.assertGet200('/matches/'+match_id) self.assertJson(response, 'players') match = Match(response.json()) players_in_the_match = len(match.players) self.assertEqual(players_in_the_match, 1) last_event = match.log[-1]['name'] self.assertEqual(last_event, events.Setup) def post_player_2_prompt(self, match_id): request_data = {'player_id': 2, 'deck_id': 2} self.assertPost200('/matches/'+match_id+'/join', json=request_data) response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) players_in_the_match = len(match.players) self.assertEqual(players_in_the_match, 2) last_event = match.log[-1]['name'] self.assertEqual(last_event, events.Prompt) def test_simulated_match(self): match_id = self.match_setup() self.play_turn_1(match_id) self.assertPost200('/matches/' + match_id + '/players/2/end_turn') self.play_and_use_counter(match_id) self.post_end_turn(match_id) def play_turn_1(self, match_id): self.post_play_card(match_id) self.post_use_card_to_get_resources(match_id) self.post_use_resources_to_play_a_card(match_id) self.post_use_card_to_deal_damage(match_id) self.post_end_turn(match_id) def post_play_card(self, match_id): response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) previous_board = len(match.current_player().board) previous_hand = len(match.players[0].hand) self.assertPost200('/matches/' + match_id + '/players/1/play/1') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) board = len(match.current_player().board) self.assertEqual(board, previous_board + 1) cards_in_hand = len(match.players[0].hand) self.assertEqual(cards_in_hand, previous_hand - 1) self.assertPost200('/matches/' + match_id + '/players/2/yield') def post_use_card_to_get_resources(self, match_id): self.assertPost200('/matches/' + match_id + '/players/1/use/1') self.assertPost200('/matches/' + match_id + '/players/2/yield') self.assertPost200('/matches/' + match_id + '/players/1/yield') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) resources = match.current_player().resources self.assertGreater(resources.a, 0) self.assertPost200('/matches/' + match_id + '/players/2/yield') def post_use_resources_to_play_a_card(self, match_id): response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) previous_board = len(match.players[0].board) self.assertPost200('/matches/' + match_id + '/players/1/play/1') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) resources = match.current_player().resources self.assertEqual(resources.a, 0) cards_in_the_board = len(match.players[0].board) self.assertEqual(cards_in_the_board, previous_board + 1) self.assertPost200('/matches/' + match_id + '/players/2/yield') def post_use_card_to_deal_damage(self, match_id): self.assertPost200('/matches/' + match_id + '/players/1/use/2') self.assertPost200('/matches/' + match_id + '/players/2/yield') self.assertPost200('/matches/' + match_id + '/players/1/yield') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) enemy = match.players[1] self.assertLess(enemy.hp, Player.INITIAL_HP) self.assertPost200('/matches/' + match_id + '/players/2/yield') def post_end_turn(self, match_id): self.assertPost200('/matches/' + match_id + '/players/1/end_turn') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) self.assertEqual(match.current_player_index, 1) def play_and_use_counter(self, match_id): response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) previous_hp = match.players[1].hp self.assertPost200('/matches/' + match_id + '/players/1/use/2') self.assertPost200('/matches/' + match_id + '/players/2/play/1') self.assertPost200('/matches/' + match_id + '/players/1/yield') self.assertPost200('/matches/' + match_id + '/players/2/use/1') self.assertPost200('/matches/' + match_id + '/players/1/yield') self.assertPost200('/matches/' + match_id + '/players/2/yield') response = self.assertGet200('/matches/' + match_id) self.assertJson(response, 'players') match = Match(response.json()) hp = match.players[1].hp self.assertEqual(len(match.stack), 0) self.assertEqual(previous_hp, hp)

43.859155

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5.06632

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0.122177

0.163758

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6,228

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1

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null

0

1

0

5

edb1c5d4ad53521db9b985b74dc3074518606984

8,029

py

Python

app/shop/migrations/0002_auto_20201010_1116.py

chriskmamo/greenvoice

11306e939612907da21f89350b4446e47081e695

[ "MIT" ]

null

app/shop/migrations/0002_auto_20201010_1116.py

chriskmamo/greenvoice

11306e939612907da21f89350b4446e47081e695

[ "MIT" ]

2

2022-02-13T20:16:39.000Z

2022-02-19T06:27:31.000Z

app/shop/migrations/0002_auto_20201010_1116.py

chriskmamo/greenvoice

11306e939612907da21f89350b4446e47081e695

[ "MIT" ]

null

# Generated by Django 3.0.10 on 2020-10-10 11:16 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('taxonomies', '0001_initial'), ('users', '0001_initial'), ('shop', '0001_initial'), ] operations = [ migrations.AddField( model_name='wishlistitem', name='customer', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='wishlist_item', to='users.Customer', verbose_name='customer'), ), migrations.AddField( model_name='wishlistitem', name='product_manager', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='wishlist_item', to='shop.ProductManager', verbose_name='product manager'), ), migrations.AddField( model_name='productoption', name='product_manager', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='product_option', to='shop.ProductManager', verbose_name='product and color'), ), migrations.AddField( model_name='productoption', name='size', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='taxonomies.Size', verbose_name='size'), ), migrations.AddField( model_name='productmanager', name='color', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='taxonomies.Color', verbose_name='color'), ), migrations.AddField( model_name='productmanager', name='product', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='product_manager', to='shop.Product', verbose_name='product'), ), migrations.AddField( model_name='product', name='brand', field=models.ForeignKey(blank=True, on_delete=django.db.models.deletion.CASCADE, related_name='product', to='shop.Brand', verbose_name='brand'), ), migrations.AddField( model_name='product', name='category', field=models.ManyToManyField(blank=True, to='taxonomies.Category', verbose_name='category'), ), migrations.AddField( model_name='product', name='target_group', field=models.ManyToManyField(blank=True, to='taxonomies.TargetGroup', verbose_name='target group'), ), migrations.AddField( model_name='orderitem', name='customer', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='users.Customer', verbose_name='customer'), ), migrations.AddField( model_name='orderitem', name='order', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='order_items', to='shop.Order', verbose_name='order'), ), migrations.AddField( model_name='orderitem', name='product_option', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='shop.ProductOption', verbose_name='product'), ), migrations.AddField( model_name='order', name='customer', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='customer', to='users.Customer', verbose_name='customer'), ), migrations.AddField( model_name='brandsettingssales', name='brand_settings', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sale', to='shop.BrandSettings', verbose_name='brand settings'), ), migrations.AddField( model_name='brandsettings', name='brand', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='settings', to='shop.Brand', verbose_name='brand'), ), migrations.AddField( model_name='brandbranding', name='brand', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='branding', to='shop.Brand', verbose_name='brand'), ), migrations.AddField( model_name='basictaxzones', name='country', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='taxonomies.Country', verbose_name='country'), ), migrations.AddField( model_name='basictaxzones', name='tax', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='tax_zones', to='shop.BasicTax', verbose_name='tax'), ), migrations.AddField( model_name='basicimprint', name='company_type', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='taxonomies.CompanyType', verbose_name='company type'), ), migrations.AddField( model_name='basicimprint', name='country', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='taxonomies.Country', verbose_name='country'), ), migrations.AddField( model_name='basicbanking', name='country', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='taxonomies.Country', verbose_name='country'), ), migrations.AddField( model_name='basicbanking', name='currency', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='taxonomies.Currency', verbose_name='currency'), ), migrations.AddField( model_name='productstatus', name='product', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='status', to='shop.Product', verbose_name='product'), ), migrations.AddField( model_name='productoptionstatus', name='product_option', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='status', to='shop.ProductOption', verbose_name='product option'), ), migrations.AddField( model_name='productmanagerstatus', name='product_manager', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='status', to='shop.ProductManager', verbose_name='product manager'), ), migrations.AddField( model_name='productimage', name='product_manager', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='image', to='shop.ProductManager', verbose_name='product'), ), migrations.AddField( model_name='productbrandimage', name='product_manager', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='brand_image', to='shop.ProductManager', verbose_name='product'), ), migrations.AddField( model_name='brandsettingsstatus', name='brand_settings', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='status', to='shop.BrandSettings', verbose_name='brand settings'), ), migrations.AddField( model_name='brandimprint', name='brand', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='imprint', to='shop.Brand', verbose_name='brand'), ), ]

48.957317

183

0.637688

839

8,029

5.943981

0.106079

0.046521

0.133748

0.157008

0.843593

0.830158

0.716262

0.68839

0

0.00453

0.230166

8,029

163

184

49.257669

0.802297

0.005729

0

0.634615

1

0

0.194086

0.005513

0

1

0

false

0

0.012821

0

0.038462

0.025641

0

null

0

1

0

1

0

1

0

null

0

5

edc2fbec565183dc037a1174a63b2b50806802b8

161

py

Python

src/changie/utils.py

ZaX51/changie

2116640e9e4bfb2c403b84ab267a4b862ba2d1be

[ "MIT" ]

null

src/changie/utils.py

ZaX51/changie

2116640e9e4bfb2c403b84ab267a4b862ba2d1be

[ "MIT" ]

null

src/changie/utils.py

ZaX51/changie

2116640e9e4bfb2c403b84ab267a4b862ba2d1be

[ "MIT" ]

null

def read_file(file): with open(file, "r") as f: return f.read() def write_file(file, s): with open(file, "w+") as f: return f.write(s)

17.888889

31

0.559006

28

161

3.142857

0.428571

0.181818

0.272727

0.227273

0

0.279503

161

8

32

20.125

0.758621

0

0.018634

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

5

edcd5b375e0b1583172287bf9e17fe2ef8d16b98

22

py

Python

test.py

DITDSI/Projet1

e1fe124c0e922800803ed81570f50763f86165fd

[ "BSD-3-Clause" ]

null

test.py

DITDSI/Projet1

e1fe124c0e922800803ed81570f50763f86165fd

[ "BSD-3-Clause" ]

null

test.py

DITDSI/Projet1

e1fe124c0e922800803ed81570f50763f86165fd

[ "BSD-3-Clause" ]

null

print("test avec git")

22

0.727273

4

22

4

1

0

0.090909

22

1

22

0.8

0

0.565217

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b627f402e05caa03c39621269fd44b54ef4940e6

386

py

Python

pystratis/api/coldstaking/responsemodels/infomodel.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

8

2021-06-30T20:44:22.000Z

2021-12-07T14:42:22.000Z

pystratis/api/coldstaking/responsemodels/infomodel.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

2

2021-07-01T11:50:18.000Z

2022-01-25T18:39:49.000Z

pystratis/api/coldstaking/responsemodels/infomodel.py

TjadenFroyda/pyStratis

9cc7620d7506637f8a2b84003d931eceb36ac5f2

[ "MIT" ]

4

2021-07-01T04:36:42.000Z

2021-09-17T10:54:19.000Z

from pydantic import Field from pystratis.api import Model class InfoModel(Model): """A pydantic model for cold wallet information.""" cold_wallet_account_exists: bool = Field(alias='coldWalletAccountExists') """True if cold wallet account exists.""" hot_wallet_account_exists: bool = Field(alias='hotWalletAccountExists') """True if hot wallet account exists."""

35.090909

77

0.746114

47

386

6

0.489362

0.184397

0.269504

0.163121

0.234043

0

0.15285

386

10

78

38.6

0.862385

0.11658

0

0.177165

0

1

0

true

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b62c8ba03c8b2347cc2b57f19c88f9df3776d273

59

py

Python

clusprotools/report/__init__.py

Mingchenchen/cluspro-tools

d4efa8753c9817a4fe1972951e60180fb95e31dd

[ "MIT" ]

1

2021-04-20T03:10:03.000Z

clusprotools/report/__init__.py

Mingchenchen/cluspro-tools

d4efa8753c9817a4fe1972951e60180fb95e31dd

[ "MIT" ]

null

clusprotools/report/__init__.py

Mingchenchen/cluspro-tools

d4efa8753c9817a4fe1972951e60180fb95e31dd

[ "MIT" ]

null

# ./report/__init__.py from .filtering_parameters import *

19.666667

35

0.779661

7

59

5.857143

1

0

0.101695

59

3

35

19.666667

0.773585

0.338983

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b64d6edd6fd268c7bad3025edd07328e9733af7b

4,885

py

Python

tests/test_stock_availability.py

mrkevinomar/saleor

5e5f83288aa3d2c916520cc7267f3cb6ec2ab29a

[ "CC-BY-4.0" ]

4

2021-04-09T01:07:00.000Z

2022-02-15T10:51:39.000Z

tests/test_stock_availability.py

mrkevinomar/saleor

5e5f83288aa3d2c916520cc7267f3cb6ec2ab29a

[ "CC-BY-4.0" ]

13

2021-03-19T02:54:47.000Z

2022-03-12T00:36:26.000Z

tests/test_stock_availability.py

yog240597/saleor

b75a23827a4ec2ce91637f0afe6808c9d09da00a

[ "CC-BY-4.0" ]

1

2020-11-08T00:45:03.000Z

import pytest from django.test import override_settings from saleor.core.exceptions import InsufficientStock from saleor.warehouse.availability import ( are_all_product_variants_in_stock, check_stock_quantity, get_available_quantity, get_available_quantity_for_customer, get_quantity_allocated, ) from saleor.warehouse.models import Allocation COUNTRY_CODE = "US" def test_check_stock_quantity(variant_with_many_stocks): assert check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 7) is None def test_check_stock_quantity_out_of_stock(variant_with_many_stocks): with pytest.raises(InsufficientStock): check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 8) def test_check_stock_quantity_with_allocations( variant_with_many_stocks, order_line_with_allocation_in_many_stocks ): assert check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 4) is None def test_check_stock_quantity_with_allocations_out_of_stock( variant_with_many_stocks, order_line_with_allocation_in_many_stocks ): with pytest.raises(InsufficientStock): check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 5) def test_check_stock_quantity_without_stocks(variant_with_many_stocks): variant_with_many_stocks.stocks.all().delete() with pytest.raises(InsufficientStock): check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 1) def test_check_stock_quantity_without_one_stock(variant_with_many_stocks): variant_with_many_stocks.stocks.get(quantity=3).delete() assert check_stock_quantity(variant_with_many_stocks, COUNTRY_CODE, 4) is None def test_get_available_quantity_without_allocation(order_line, stock): assert not Allocation.objects.filter(order_line=order_line, stock=stock).exists() available_quantity = get_available_quantity(order_line.variant, COUNTRY_CODE) assert available_quantity == stock.quantity def test_get_available_quantity(variant_with_many_stocks): available_quantity = get_available_quantity(variant_with_many_stocks, COUNTRY_CODE) assert available_quantity == 7 def test_get_available_quantity_with_allocations( variant_with_many_stocks, order_line_with_allocation_in_many_stocks ): available_quantity = get_available_quantity(variant_with_many_stocks, COUNTRY_CODE) assert available_quantity == 4 def test_get_available_quantity_without_stocks(variant_with_many_stocks): variant_with_many_stocks.stocks.all().delete() available_quantity = get_available_quantity(variant_with_many_stocks, COUNTRY_CODE) assert available_quantity == 0 @override_settings(MAX_CHECKOUT_LINE_QUANTITY=15) def test_get_available_quantity_for_customer(variant_with_many_stocks, settings): stock = variant_with_many_stocks.stocks.first() stock.quantity = 16 stock.save(update_fields=["quantity"]) available_quantity = get_available_quantity_for_customer( variant_with_many_stocks, COUNTRY_CODE ) assert available_quantity == settings.MAX_CHECKOUT_LINE_QUANTITY def test_get_available_quantity_for_customer_without_stocks(variant_with_many_stocks): variant_with_many_stocks.stocks.all().delete() available_quantity = get_available_quantity_for_customer( variant_with_many_stocks, COUNTRY_CODE ) assert available_quantity == 0 def test_get_quantity_allocated( variant_with_many_stocks, order_line_with_allocation_in_many_stocks ): quantity_allocated = get_quantity_allocated(variant_with_many_stocks, COUNTRY_CODE) assert quantity_allocated == 3 def test_get_quantity_allocated_without_allocation(variant_with_many_stocks): quantity_allocated = get_quantity_allocated(variant_with_many_stocks, COUNTRY_CODE) assert quantity_allocated == 0 def test_get_quantity_allocated_without_stock(variant_with_many_stocks): variant_with_many_stocks.stocks.all().delete() quantity_allocated = get_quantity_allocated(variant_with_many_stocks, COUNTRY_CODE) assert quantity_allocated == 0 def test_are_all_product_variants_in_stock_all_in_stock(stock): assert are_all_product_variants_in_stock( stock.product_variant.product, COUNTRY_CODE ) def test_are_all_product_variants_in_stock_stock_empty(allocation, variant): allocation.quantity_allocated = allocation.stock.quantity allocation.save(update_fields=["quantity_allocated"]) assert not are_all_product_variants_in_stock(variant.product, COUNTRY_CODE) def test_are_all_product_variants_in_stock_lack_of_stocks(variant): assert not are_all_product_variants_in_stock(variant.product, COUNTRY_CODE) def test_are_all_product_variants_in_stock_warehouse_without_stock( variant_with_many_stocks, ): variant_with_many_stocks.stocks.first().delete() assert are_all_product_variants_in_stock( variant_with_many_stocks.product, COUNTRY_CODE )

36.185185

87

0.832139

658

4,885

5.615502

0.104863

0.110961

0.150203

0.210284

0.827334

0.781326

0.715291

0.615156

0.607578

0.593505

0

0.004147

0.111361

4,885

134

88

36.455224

0.84704

0

0.387097

0

0.005732

0

0.182796

1

0.204301

false

0

0.053763

0

0.258065

0

null

0

1

0

null

0

1

0

5

b64e02244c38f2c7269abdcb7ef0fc04800d3b91

367

py

Python

src/promnesia/__init__.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

1,327

2019-11-02T20:10:38.000Z

2022-03-29T16:58:36.000Z

src/promnesia/__init__.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

157

2019-09-06T11:16:40.000Z

2022-03-27T20:01:52.000Z

src/promnesia/__init__.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

60

2020-06-08T22:12:24.000Z

2022-03-22T16:57:22.000Z

from pathlib import Path from .common import PathIsh, Visit, Source, last, Loc, Results, DbVisit, Context, Res # add deprecation warning so eventually this may converted to a namespace package? import warnings warnings.warn("DEPRECATED! Please import directly from 'promnesia.common', e.g. 'from promnesia.common import Visit, Source, Results'", DeprecationWarning)

52.428571

155

0.79564

49

367

5.959184

0.714286

0.082192

0.130137

0

0.125341

367

6

156

61.166667

0.909657

0.217984

0

0.25

0.414035

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

b6519f091720b9f2a0259d7694470bbcb72cff2a

35

py

Python

31/00/list.remove.1.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

null

31/00/list.remove.1.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

38

2017-05-25T07:08:48.000Z

2017-05-31T01:42:41.000Z

31/00/list.remove.1.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

null

l = [1,2,1,3] l.remove(4) print(l)

8.75

13

0.542857

10

35

1.9

0.7

0

0.166667

0.142857

35

3

14

11.666667

0.466667

0

1

0

false

0

0.333333

1

null

0

1

0

1

0

null

0

5

b6660e5ff663ae8b2d55716f1c2c4c68535ee3bd

193

py

Python

calplus/v1/__init__.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

null

calplus/v1/__init__.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

4

2017-04-05T16:14:07.000Z

2018-12-14T14:19:15.000Z

calplus/v1/__init__.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

2

2017-04-18T16:53:58.000Z

2018-12-04T05:42:51.000Z

def public_endpoint(wsgidriver, conf): # Example: # from calplus.v1.network import network # ... # return [ # ('/path', # network.Resource()) # ] return []

19.3

44

0.533679

17

193

6

0.823529

0

0.007519

0.310881

193

9

45

21.444444

0.759399

0.502591

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b66e57975c7bf6a1dffab9357a4032ba65cd2b8f

304

py

Python

python/mlp/centroidal/none.py

daeunSong/multicontact-locomotion-planning

0aeabe6a7a8d49e54d6996a6126740cc90aa0050

[ "BSD-2-Clause" ]

31

2019-11-08T14:46:03.000Z

2022-03-25T08:09:16.000Z

python/mlp/centroidal/none.py

pFernbach/multicontact-locomotion-planning

86c3e64fd0ee57b1e4061351a16e43e6ba0e15c2

[ "BSD-2-Clause" ]

21

2019-04-12T13:13:31.000Z

2021-04-02T14:28:15.000Z

python/mlp/centroidal/none.py

pFernbach/multicontact-locomotion-planning

86c3e64fd0ee57b1e4061351a16e43e6ba0e15c2

[ "BSD-2-Clause" ]

11

2019-04-12T13:03:55.000Z

2021-11-22T08:19:06.000Z

from mlp.utils.requirements import Requirements as CentroidalInputsNone from mlp.utils.requirements import Requirements as CentroidalOutputsNone def generate_centroidal_none(cfg, cs, cs_initGuess=None, fullBody=None, viewer=None, first_iter = True): print("Centroidal trajectory not computed !")

43.428571

104

0.819079

37

304

6.621622

0.648649

0.057143

0.097959

0.195918

0.359184

0

0.111842

304

6

105

50.666667

0.907407

0

1

0

0.118812

0

1

0.25

false

0

0.5

0

0.75

0.25

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

b6726aa154deecc342e01674044e6de847d5f2c8

39,842

py

Python

config/plugins/pbh.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

null

config/plugins/pbh.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

null

config/plugins/pbh.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

null

""" This CLI plugin was auto-generated by using 'sonic-cli-gen' utility, BUT it was manually modified to meet the PBH HLD requirements. PBH HLD - https://github.com/Azure/SONiC/pull/773 CLI Auto-generation tool HLD - https://github.com/Azure/SONiC/pull/78 """ import click import json import ipaddress import re import utilities_common.cli as clicommon from show.plugins.pbh import deserialize_pbh_counters GRE_KEY_RE = r"^(0x){1}[a-fA-F0-9]{1,8}/(0x){1}[a-fA-F0-9]{1,8}$" ETHER_TYPE_RE = r"^(0x){1}[a-fA-F0-9]{1,4}$" L4_DST_PORT_RE = ETHER_TYPE_RE INNER_ETHER_TYPE_RE = ETHER_TYPE_RE IP_PROTOCOL_RE = r"^(0x){1}[a-fA-F0-9]{1,2}$" IPV6_NEXT_HEADER_RE = IP_PROTOCOL_RE HASH_FIELD_VALUE_LIST = [ "INNER_IP_PROTOCOL", "INNER_L4_DST_PORT", "INNER_L4_SRC_PORT", "INNER_DST_IPV4", "INNER_SRC_IPV4", "INNER_DST_IPV6", "INNER_SRC_IPV6" ] PACKET_ACTION_VALUE_LIST = [ "SET_ECMP_HASH", "SET_LAG_HASH" ] FLOW_COUNTER_VALUE_LIST = [ "DISABLED", "ENABLED" ] PBH_TABLE_CDB = "PBH_TABLE" PBH_RULE_CDB = "PBH_RULE" PBH_HASH_CDB = "PBH_HASH" PBH_HASH_FIELD_CDB = "PBH_HASH_FIELD" PBH_TABLE_INTERFACE_LIST = "interface_list" PBH_TABLE_DESCRIPTION = "description" PBH_RULE_PRIORITY = "priority" PBH_RULE_GRE_KEY = "gre_key" PBH_RULE_ETHER_TYPE = "ether_type" PBH_RULE_IP_PROTOCOL = "ip_protocol" PBH_RULE_IPV6_NEXT_HEADER = "ipv6_next_header" PBH_RULE_L4_DST_PORT = "l4_dst_port" PBH_RULE_INNER_ETHER_TYPE = "inner_ether_type" PBH_RULE_HASH = "hash" PBH_RULE_PACKET_ACTION = "packet_action" PBH_RULE_FLOW_COUNTER = "flow_counter" PBH_HASH_HASH_FIELD_LIST = "hash_field_list" PBH_HASH_FIELD_HASH_FIELD = "hash_field" PBH_HASH_FIELD_IP_MASK = "ip_mask" PBH_HASH_FIELD_SEQUENCE_ID = "sequence_id" PBH_CAPABILITIES_SDB = "PBH_CAPABILITIES" PBH_TABLE_CAPABILITIES_KEY = "table" PBH_RULE_CAPABILITIES_KEY = "rule" PBH_HASH_CAPABILITIES_KEY = "hash" PBH_HASH_FIELD_CAPABILITIES_KEY = "hash-field" PBH_ADD = "ADD" PBH_UPDATE = "UPDATE" PBH_REMOVE = "REMOVE" PBH_COUNTERS_LOCATION = "/tmp/.pbh_counters.txt" # # DB interface -------------------------------------------------------------------------------------------------------- # def add_entry(db, table, key, data): """ Add new entry in table """ cfg = db.get_config() cfg.setdefault(table, {}) if key in cfg[table]: raise click.ClickException("{}{}{} already exists in Config DB".format( table, db.TABLE_NAME_SEPARATOR, db.serialize_key(key) ) ) cfg[table][key] = data db.set_entry(table, key, data) def update_entry(db, cap, table, key, data): """ Update entry in table and validate configuration. If field value in data is None, the field is deleted """ field_root = "{}{}{}".format(table, db.TABLE_NAME_SEPARATOR, db.serialize_key(key)) cfg = db.get_config() cfg.setdefault(table, {}) if key not in cfg[table]: raise click.ClickException("{} doesn't exist in Config DB".format(field_root)) for field, value in data.items(): if field not in cap: raise click.ClickException( "{}{}{} doesn't have a configuration capabilities".format( field_root, db.KEY_SEPARATOR, field ) ) if value is None: # HDEL if field in cfg[table][key]: if PBH_REMOVE in cap[field]: cfg[table][key].pop(field) else: raise click.ClickException( "Failed to remove {}{}{}: operation is prohibited".format( field_root, db.KEY_SEPARATOR, field ) ) else: raise click.ClickException( "Failed to remove {}{}{}: field doesn't exist".format( field_root, db.KEY_SEPARATOR, field ) ) else: # HSET if field in cfg[table][key]: if PBH_UPDATE not in cap[field]: raise click.ClickException( "Failed to update {}{}{}: operation is prohibited".format( field_root, db.KEY_SEPARATOR, field ) ) else: if PBH_ADD not in cap[field]: raise click.ClickException( "Failed to add {}{}{}: operation is prohibited".format( field_root, db.KEY_SEPARATOR, field ) ) cfg[table][key][field] = value db.set_entry(table, key, cfg[table][key]) def del_entry(db, table, key): """ Delete entry in table """ cfg = db.get_config() cfg.setdefault(table, {}) if key not in cfg[table]: raise click.ClickException("{}{}{} doesn't exist in Config DB".format( table, db.TABLE_NAME_SEPARATOR, db.serialize_key(key) ) ) cfg[table].pop(key) db.set_entry(table, key, None) def is_exist_in_db(db, table, key): """ Check if provided hash already exists in Config DB Args: db: reference to Config DB table: table to search in Config DB key: key to search in Config DB Returns: bool: The return value. True for success, False otherwise """ if (not table) or (not key): return False if not db.get_entry(table, key): return False return True # # PBH validators ------------------------------------------------------------------------------------------------------ # def table_name_validator(ctx, db, table_name, is_exist=True): if is_exist: if not is_exist_in_db(db, str(PBH_TABLE_CDB), str(table_name)): raise click.UsageError( "Invalid value for \"TABLE_NAME\": {} is not a valid PBH table".format(table_name), ctx ) else: if is_exist_in_db(db, str(PBH_TABLE_CDB), str(table_name)): raise click.UsageError( "Invalid value for \"TABLE_NAME\": {} is a valid PBH table".format(table_name), ctx ) def rule_name_validator(ctx, db, table_name, rule_name, is_exist=True): if is_exist: if not is_exist_in_db(db, str(PBH_RULE_CDB), (str(table_name), str(rule_name))): raise click.UsageError( "Invalid value for \"RULE_NAME\": {} is not a valid PBH rule".format(rule_name), ctx ) else: if is_exist_in_db(db, str(PBH_RULE_CDB), (str(table_name), str(rule_name))): raise click.UsageError( "Invalid value for \"RULE_NAME\": {} is a valid PBH rule".format(rule_name), ctx ) def hash_name_validator(ctx, db, hash_name, is_exist=True): if is_exist: if not is_exist_in_db(db, str(PBH_HASH_CDB), str(hash_name)): raise click.UsageError( "Invalid value for \"HASH_NAME\": {} is not a valid PBH hash".format(hash_name), ctx ) else: if is_exist_in_db(db, str(PBH_HASH_CDB), str(hash_name)): raise click.UsageError( "Invalid value for \"HASH_NAME\": {} is a valid PBH hash".format(hash_name), ctx ) def hash_field_name_validator(ctx, db, hash_field_name, is_exist=True): if is_exist: if not is_exist_in_db(db, str(PBH_HASH_FIELD_CDB), str(hash_field_name)): raise click.UsageError( "Invalid value for \"HASH_FIELD_NAME\": {} is not a valid PBH hash field".format(hash_field_name), ctx ) else: if is_exist_in_db(db, str(PBH_HASH_FIELD_CDB), str(hash_field_name)): raise click.UsageError( "Invalid value for \"HASH_FIELD_NAME\": {} is a valid PBH hash field".format(hash_field_name), ctx ) def interface_list_validator(ctx, db, interface_list): for intf in interface_list.split(','): if not (clicommon.is_valid_port(db, str(intf)) or clicommon.is_valid_portchannel(db, str(intf))): raise click.UsageError( "Invalid value for \"--interface-list\": {} is not a valid interface".format(intf), ctx ) def hash_field_list_validator(ctx, db, hash_field_list): for hfield in hash_field_list.split(','): if not is_exist_in_db(db, str(PBH_HASH_FIELD_CDB), str(hfield)): raise click.UsageError( "Invalid value for \"--hash-field-list\": {} is not a valid PBH hash field".format(hfield), ctx ) def hash_validator(ctx, db, hash): if not is_exist_in_db(db, str(PBH_HASH_CDB), str(hash)): raise click.UsageError( "Invalid value for \"--hash\": {} is not a valid PBH hash".format(hash), ctx ) def re_match(ctx, param, value, regexp): """ Regexp validation of given PBH rule parameter Args: ctx: click context param: click parameter context value: value to validate regexp: regular expression Return: str: validated value """ if re.match(regexp, str(value)) is None: raise click.UsageError( "Invalid value for {}: {} is ill-formed".format(param.get_error_hint(ctx), value), ctx ) return value def match_validator(ctx, param, value): """ Check if PBH rule options are valid Args: ctx: click context param: click parameter context value: value of parameter Returns: str: validated parameter """ if value is not None: if param.name == PBH_RULE_GRE_KEY: return re_match(ctx, param, value, GRE_KEY_RE) elif param.name == PBH_RULE_ETHER_TYPE: return re_match(ctx, param, value, ETHER_TYPE_RE) elif param.name == PBH_RULE_IP_PROTOCOL: return re_match(ctx, param, value, IP_PROTOCOL_RE) elif param.name == PBH_RULE_IPV6_NEXT_HEADER: return re_match(ctx, param, value, IPV6_NEXT_HEADER_RE) elif param.name == PBH_RULE_L4_DST_PORT: return re_match(ctx, param, value, L4_DST_PORT_RE) elif param.name == PBH_RULE_INNER_ETHER_TYPE: return re_match(ctx, param, value, INNER_ETHER_TYPE_RE) def ip_mask_validator(ctx, param, value): """ Check if PBH hash field IP mask option is valid Args: ctx: click context param: click parameter context value: value of parameter Returns: str: validated parameter """ if value is not None: try: ip = ipaddress.ip_address(value) except Exception as err: raise click.UsageError("Invalid value for {}: {}".format(param.get_error_hint(ctx), err), ctx) return str(ip) def hash_field_to_ip_mask_correspondence_validator(ctx, hash_field, ip_mask): """ Function to validate whether --hash-field value corresponds to the --ip-mask value Args: ctx: click context hash_field: native hash field value ip_mask: ip address or None """ hf_no_ip = ["INNER_IP_PROTOCOL", "INNER_L4_DST_PORT", "INNER_L4_SRC_PORT"] if ip_mask is None: if hash_field not in hf_no_ip: raise click.UsageError( "Invalid value for \"--hash-field\": invalid choice: {}. (choose from {} when no \"--ip-mask\" is provided)".format( hash_field, ", ".join(hf_no_ip) ), ctx ) return hf_v4 = ["INNER_DST_IPV4", "INNER_SRC_IPV4"] hf_v6 = ["INNER_DST_IPV6", "INNER_SRC_IPV6"] if not ((hash_field in hf_v4) or (hash_field in hf_v6)): raise click.UsageError( "Invalid value for \"--hash-field\": invalid choice: {}. (choose from {} when \"--ip-mask\" is provided)".format( hash_field, ", ".join(hf_v4 + hf_v6) ), ctx ) ip_ver = ipaddress.ip_address(ip_mask).version if (hash_field in hf_v4) and (ip_ver != 4): raise click.UsageError( "Invalid value for \"--ip-mask\": {} is not compatible with {}".format( ip_mask, hash_field ), ctx ) if (hash_field in hf_v6) and (ip_ver != 6): raise click.UsageError( "Invalid value for \"--ip-mask\": {} is not compatible with {}".format( ip_mask, hash_field ), ctx ) def hash_field_to_ip_mask_validator(ctx, db, hash_field_name, hash_field, ip_mask, is_update=True): """ Function to validate --hash-field and --ip-mask correspondence, during add/update flow Args: ctx: click context db: reference to Config DB hash_field_name: name of the hash-field hash_field: native hash field value ip_mask: ip address is_update: update flow flag """ if not is_update: hash_field_to_ip_mask_correspondence_validator(ctx, hash_field, ip_mask) return if (hash_field is None) and (ip_mask is None): return if (hash_field is not None) and (ip_mask is not None): hash_field_to_ip_mask_correspondence_validator(ctx, hash_field, ip_mask) return hf_obj = db.get_entry(str(PBH_HASH_FIELD_CDB), str(hash_field_name)) if not hf_obj: raise click.ClickException( "Failed to validate \"--hash-field\" and \"--ip-mask\" correspondence: {} is not a valid PBH hash field".format( hash_field_name ) ) if hash_field is None: if PBH_HASH_FIELD_HASH_FIELD not in hf_obj: raise click.ClickException( "Failed to validate \"--hash-field\" and \"--ip-mask\" correspondence: {} is not a valid PBH field".format( PBH_HASH_FIELD_HASH_FIELD ) ) hash_field_to_ip_mask_correspondence_validator(ctx, hf_obj[PBH_HASH_FIELD_HASH_FIELD], ip_mask) else: if PBH_HASH_FIELD_IP_MASK in hf_obj: hash_field_to_ip_mask_correspondence_validator(ctx, hash_field, hf_obj[PBH_HASH_FIELD_IP_MASK]) else: hash_field_to_ip_mask_correspondence_validator(ctx, hash_field, ip_mask) # # PBH helpers --------------------------------------------------------------------------------------------------------- # def serialize_pbh_counters(obj): """ Helper that performs PBH counters serialization. in = { ('pbh_table1', 'pbh_rule1'): {'SAI_ACL_COUNTER_ATTR_BYTES': '0', 'SAI_ACL_COUNTER_ATTR_PACKETS': '0'}, ... ('pbh_tableN', 'pbh_ruleN'): {'SAI_ACL_COUNTER_ATTR_BYTES': '0', 'SAI_ACL_COUNTER_ATTR_PACKETS': '0'} } out = [ { "key": ["pbh_table1", "pbh_rule1"], "value": {"SAI_ACL_COUNTER_ATTR_BYTES": "0", "SAI_ACL_COUNTER_ATTR_PACKETS": "0"} }, ... { "key": ["pbh_tableN", "pbh_ruleN"], "value": {"SAI_ACL_COUNTER_ATTR_BYTES": "0", "SAI_ACL_COUNTER_ATTR_PACKETS": "0"} } ] Args: obj: counters dict. """ def remap_keys(obj): return [{'key': k, 'value': v} for k, v in obj.items()] try: with open(PBH_COUNTERS_LOCATION, 'w') as f: json.dump(remap_keys(obj), f) except IOError as err: pass def update_pbh_counters(table_name, rule_name): """ Helper that performs PBH counters update """ pbh_counters = deserialize_pbh_counters() key_to_del = table_name, rule_name if key_to_del in pbh_counters: del pbh_counters[key_to_del] serialize_pbh_counters(pbh_counters) def pbh_capabilities_query(db, key): """ Query PBH capabilities """ sdb_id = db.STATE_DB sdb_sep = db.get_db_separator(sdb_id) cap_map = db.get_all(sdb_id, "{}{}{}".format(str(PBH_CAPABILITIES_SDB), sdb_sep, str(key))) if not cap_map: return None return cap_map def pbh_match_count(db, table, key, data): """ Count PBH rule match fields """ field_map = db.get_entry(table, key) match_total = 0 match_count = 0 if PBH_RULE_GRE_KEY in field_map: if PBH_RULE_GRE_KEY in data: match_count += 1 match_total += 1 if PBH_RULE_ETHER_TYPE in field_map: if PBH_RULE_ETHER_TYPE in data: match_count += 1 match_total += 1 if PBH_RULE_IP_PROTOCOL in field_map: if PBH_RULE_IP_PROTOCOL in data: match_count += 1 match_total += 1 if PBH_RULE_IPV6_NEXT_HEADER in field_map: if PBH_RULE_IPV6_NEXT_HEADER in data: match_count += 1 match_total += 1 if PBH_RULE_L4_DST_PORT in field_map: if PBH_RULE_L4_DST_PORT in data: match_count += 1 match_total += 1 if PBH_RULE_INNER_ETHER_TYPE in field_map: if PBH_RULE_INNER_ETHER_TYPE in data: match_count += 1 match_total += 1 return match_total, match_count def exit_with_error(*args, **kwargs): """ Print a message and abort CLI """ click.secho(*args, **kwargs) raise click.Abort() # # PBH CLI ------------------------------------------------------------------------------------------------------------- # @click.group( name='pbh', cls=clicommon.AliasedGroup ) def PBH(): """ Configure PBH (Policy based hashing) feature """ pass # # PBH hash field ------------------------------------------------------------------------------------------------------ # @PBH.group( name="hash-field", cls=clicommon.AliasedGroup ) def PBH_HASH_FIELD(): """ Configure PBH hash field """ pass @PBH_HASH_FIELD.command(name="add") @click.argument( "hash-field-name", nargs=1, required=True ) @click.option( "--hash-field", help="Configures native hash field for this hash field", required=True, type=click.Choice(HASH_FIELD_VALUE_LIST) ) @click.option( "--ip-mask", help="""Configures IPv4/IPv6 address mask for this hash field, required when the value of --hash-field is - INNER_DST_IPV4 or INNER_SRC_IPV4 or INNER_DST_IPV6 or INNER_SRC_IPV6""", callback=ip_mask_validator ) @click.option( "--sequence-id", help="Configures in which order the fields are hashed and defines which fields should be associative", required=True, type=click.INT ) @clicommon.pass_db def PBH_HASH_FIELD_add(db, hash_field_name, hash_field, ip_mask, sequence_id): """ Add object to PBH_HASH_FIELD table """ ctx = click.get_current_context() hash_field_name_validator(ctx, db.cfgdb_pipe, hash_field_name, False) hash_field_to_ip_mask_validator(ctx, db.cfgdb_pipe, hash_field_name, hash_field, ip_mask, False) table = str(PBH_HASH_FIELD_CDB) key = str(hash_field_name) data = {} if hash_field is not None: data[PBH_HASH_FIELD_HASH_FIELD] = hash_field if ip_mask is not None: data[PBH_HASH_FIELD_IP_MASK] = ip_mask if sequence_id is not None: data[PBH_HASH_FIELD_SEQUENCE_ID] = sequence_id if not data: exit_with_error("Error: Failed to add PBH hash field: options are not provided", fg="red") try: add_entry(db.cfgdb_pipe, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_HASH_FIELD.command(name="update") @click.argument( "hash-field-name", nargs=1, required=True ) @click.option( "--hash-field", help="Configures native hash field for this hash field", type=click.Choice(HASH_FIELD_VALUE_LIST) ) @click.option( "--ip-mask", help="""Configures IPv4/IPv6 address mask for this hash field, required when the value of --hash-field is - INNER_DST_IPV4 or INNER_SRC_IPV4 or INNER_DST_IPV6 or INNER_SRC_IPV6 """, callback=ip_mask_validator ) @click.option( "--sequence-id", help="Configures in which order the fields are hashed and defines which fields should be associative", type=click.INT ) @clicommon.pass_db def PBH_HASH_FIELD_update(db, hash_field_name, hash_field, ip_mask, sequence_id): """ Update object in PBH_HASH_FIELD table """ ctx = click.get_current_context() hash_field_name_validator(ctx, db.cfgdb_pipe, hash_field_name) hash_field_to_ip_mask_validator(ctx, db.cfgdb_pipe, hash_field_name, hash_field, ip_mask) table = str(PBH_HASH_FIELD_CDB) key = str(hash_field_name) data = {} if hash_field is not None: data[PBH_HASH_FIELD_HASH_FIELD] = hash_field if ip_mask is not None: data[PBH_HASH_FIELD_IP_MASK] = ip_mask if sequence_id is not None: data[PBH_HASH_FIELD_SEQUENCE_ID] = sequence_id if not data: exit_with_error("Error: Failed to update PBH hash field: options are not provided", fg="red") cap = pbh_capabilities_query(db.db, PBH_HASH_FIELD_CAPABILITIES_KEY) if cap is None: exit_with_error("Error: Failed to query PBH hash field capabilities: configuration is not available", fg="red") try: update_entry(db.cfgdb_pipe, cap, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_HASH_FIELD.command(name="delete") @click.argument( "hash-field-name", nargs=1, required=True ) @clicommon.pass_db def PBH_HASH_FIELD_delete(db, hash_field_name): """ Delete object from PBH_HASH_FIELD table """ ctx = click.get_current_context() hash_field_name_validator(ctx, db.cfgdb_pipe, hash_field_name) table = str(PBH_HASH_FIELD_CDB) key = str(hash_field_name) try: del_entry(db.cfgdb_pipe, table, key) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") # # PBH hash ------------------------------------------------------------------------------------------------------------ # @PBH.group( name="hash", cls=clicommon.AliasedGroup ) def PBH_HASH(): """ Configure PBH hash """ pass @PBH_HASH.command(name="add") @click.argument( "hash-name", nargs=1, required=True ) @click.option( "--hash-field-list", help="The list of hash fields to apply with this hash", required=True ) @clicommon.pass_db def PBH_HASH_add(db, hash_name, hash_field_list): """ Add object to PBH_HASH table """ ctx = click.get_current_context() hash_name_validator(ctx, db.cfgdb_pipe, hash_name, False) table = str(PBH_HASH_CDB) key = str(hash_name) data = {} if hash_field_list is not None: hash_field_list_validator(ctx, db.cfgdb_pipe, hash_field_list) data[PBH_HASH_HASH_FIELD_LIST] = hash_field_list.split(",") if not data: exit_with_error("Error: Failed to add PBH hash: options are not provided", fg="red") try: add_entry(db.cfgdb_pipe, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_HASH.command(name="update") @click.argument( "hash-name", nargs=1, required=True ) @click.option( "--hash-field-list", help="The list of hash fields to apply with this hash" ) @clicommon.pass_db def PBH_HASH_update(db, hash_name, hash_field_list): """ Update object in PBH_HASH table """ ctx = click.get_current_context() hash_name_validator(ctx, db.cfgdb_pipe, hash_name) table = str(PBH_HASH_CDB) key = str(hash_name) data = {} if hash_field_list is not None: hash_field_list_validator(ctx, db.cfgdb_pipe, hash_field_list) data[PBH_HASH_HASH_FIELD_LIST] = hash_field_list.split(",") if not data: exit_with_error("Error: Failed to update PBH hash: options are not provided", fg="red") cap = pbh_capabilities_query(db.db, PBH_HASH_CAPABILITIES_KEY) if cap is None: exit_with_error("Error: Failed to query PBH hash capabilities: configuration is not available", fg="red") try: update_entry(db.cfgdb_pipe, cap, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_HASH.command(name="delete") @click.argument( "hash-name", nargs=1, required=True ) @clicommon.pass_db def PBH_HASH_delete(db, hash_name): """ Delete object from PBH_HASH table """ ctx = click.get_current_context() hash_name_validator(ctx, db.cfgdb_pipe, hash_name) table = str(PBH_HASH_CDB) key = str(hash_name) try: del_entry(db.cfgdb_pipe, table, key) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") # # PBH rule ------------------------------------------------------------------------------------------------------------ # @PBH.group( name="rule", cls=clicommon.AliasedGroup ) def PBH_RULE(): """ Configure PBH rule """ pass @PBH_RULE.command(name="add") @click.argument( "table-name", nargs=1, required=True ) @click.argument( "rule-name", nargs=1, required=True ) @click.option( "--priority", help="Configures priority for this rule", required=True, type=click.INT ) @click.option( "--gre-key", help="Configures packet match for this rule: GRE key (value/mask)", callback=match_validator ) @click.option( "--ether-type", help="Configures packet match for this rule: EtherType (IANA Ethertypes)", callback=match_validator ) @click.option( "--ip-protocol", help="Configures packet match for this rule: IP protocol (IANA Protocol Numbers)", callback=match_validator ) @click.option( "--ipv6-next-header", help="Configures packet match for this rule: IPv6 Next header (IANA Protocol Numbers)", callback=match_validator ) @click.option( "--l4-dst-port", help="Configures packet match for this rule: L4 destination port", callback=match_validator ) @click.option( "--inner-ether-type", help="Configures packet match for this rule: inner EtherType (IANA Ethertypes)", callback=match_validator ) @click.option( "--hash", help="The hash to apply with this rule", required=True ) @click.option( "--packet-action", help="Configures packet action for this rule", type=click.Choice(PACKET_ACTION_VALUE_LIST) ) @click.option( "--flow-counter", help="Enables/Disables packet/byte counter for this rule", type=click.Choice(FLOW_COUNTER_VALUE_LIST) ) @clicommon.pass_db def PBH_RULE_add( db, table_name, rule_name, priority, gre_key, ether_type, ip_protocol, ipv6_next_header, l4_dst_port, inner_ether_type, hash, packet_action, flow_counter ): """ Add object to PBH_RULE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) rule_name_validator(ctx, db.cfgdb_pipe, table_name, rule_name, False) table = str(PBH_RULE_CDB) key = (str(table_name), str(rule_name)) data = {} match_count = 0 if priority is not None: data[PBH_RULE_PRIORITY] = priority if gre_key is not None: data[PBH_RULE_GRE_KEY] = gre_key match_count += 1 if ether_type is not None: data[PBH_RULE_ETHER_TYPE] = ether_type match_count += 1 if ip_protocol is not None: data[PBH_RULE_IP_PROTOCOL] = ip_protocol match_count += 1 if ipv6_next_header is not None: data[PBH_RULE_IPV6_NEXT_HEADER] = ipv6_next_header match_count += 1 if l4_dst_port is not None: data[PBH_RULE_L4_DST_PORT] = l4_dst_port match_count += 1 if inner_ether_type is not None: data[PBH_RULE_INNER_ETHER_TYPE] = inner_ether_type match_count += 1 if hash is not None: hash_validator(ctx, db.cfgdb_pipe, hash) data[PBH_RULE_HASH] = hash if packet_action is not None: data[PBH_RULE_PACKET_ACTION] = packet_action if flow_counter is not None: data[PBH_RULE_FLOW_COUNTER] = flow_counter if not data: exit_with_error("Error: Failed to add PBH rule: options are not provided", fg="red") if match_count == 0: exit_with_error("Error: Failed to add PBH rule: match options are not provided", fg="red") try: add_entry(db.cfgdb_pipe, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_RULE.group( name="update", cls=clicommon.AliasedGroup ) def PBH_RULE_update(): """ Update object in PBH_RULE table """ pass @PBH_RULE_update.group( name="field", cls=clicommon.AliasedGroup ) def PBH_RULE_update_field(): """ Update object field in PBH_RULE table """ pass @PBH_RULE_update_field.command(name="set") @click.argument( "table-name", nargs=1, required=True ) @click.argument( "rule-name", nargs=1, required=True ) @click.option( "--priority", help="Configures priority for this rule", type=click.INT ) @click.option( "--gre-key", help="Configures packet match for this rule: GRE key (value/mask)", callback=match_validator ) @click.option( "--ether-type", help="Configures packet match for this rule: EtherType (IANA Ethertypes)", callback=match_validator ) @click.option( "--ip-protocol", help="Configures packet match for this rule: IP protocol (IANA Protocol Numbers)", callback=match_validator ) @click.option( "--ipv6-next-header", help="Configures packet match for this rule: IPv6 Next header (IANA Protocol Numbers)", callback=match_validator ) @click.option( "--l4-dst-port", help="Configures packet match for this rule: L4 destination port", callback=match_validator ) @click.option( "--inner-ether-type", help="Configures packet match for this rule: inner EtherType (IANA Ethertypes)", callback=match_validator ) @click.option( "--hash", help="The hash to apply with this rule" ) @click.option( "--packet-action", help="Configures packet action for this rule", type=click.Choice(PACKET_ACTION_VALUE_LIST) ) @click.option( "--flow-counter", help="Enables/Disables packet/byte counter for this rule", type=click.Choice(FLOW_COUNTER_VALUE_LIST) ) @clicommon.pass_db def PBH_RULE_update_field_set( db, table_name, rule_name, priority, gre_key, ether_type, ip_protocol, ipv6_next_header, l4_dst_port, inner_ether_type, hash, packet_action, flow_counter ): """ Set object field in PBH_RULE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) rule_name_validator(ctx, db.cfgdb_pipe, table_name, rule_name) table = str(PBH_RULE_CDB) key = (str(table_name), str(rule_name)) data = {} if priority is not None: data[PBH_RULE_PRIORITY] = priority if gre_key is not None: data[PBH_RULE_GRE_KEY] = gre_key if ether_type is not None: data[PBH_RULE_ETHER_TYPE] = ether_type if ip_protocol is not None: data[PBH_RULE_IP_PROTOCOL] = ip_protocol if ipv6_next_header is not None: data[PBH_RULE_IPV6_NEXT_HEADER] = ipv6_next_header if l4_dst_port is not None: data[PBH_RULE_L4_DST_PORT] = l4_dst_port if inner_ether_type is not None: data[PBH_RULE_INNER_ETHER_TYPE] = inner_ether_type if hash is not None: hash_validator(ctx, db.cfgdb_pipe, hash) data[PBH_RULE_HASH] = hash if packet_action is not None: data[PBH_RULE_PACKET_ACTION] = packet_action if flow_counter is not None: data[PBH_RULE_FLOW_COUNTER] = flow_counter if not data: exit_with_error("Error: Failed to update PBH rule: options are not provided", fg="red") cap = pbh_capabilities_query(db.db, PBH_RULE_CAPABILITIES_KEY) if cap is None: exit_with_error("Error: Failed to query PBH rule capabilities: configuration is not available", fg="red") try: update_entry(db.cfgdb_pipe, cap, table, key, data) if data.get(PBH_RULE_FLOW_COUNTER, "") == "DISABLED": update_pbh_counters(table_name, rule_name) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_RULE_update_field.command(name="del") @click.argument( "table-name", nargs=1, required=True ) @click.argument( "rule-name", nargs=1, required=True ) @click.option( "--priority", help="Deletes priority for this rule", is_flag=True ) @click.option( "--gre-key", help="Deletes packet match for this rule: GRE key (value/mask)", is_flag=True ) @click.option( "--ether-type", help="Deletes packet match for this rule: EtherType (IANA Ethertypes)", is_flag=True ) @click.option( "--ip-protocol", help="Deletes packet match for this rule: IP protocol (IANA Protocol Numbers)", is_flag=True ) @click.option( "--ipv6-next-header", help="Deletes packet match for this rule: IPv6 Next header (IANA Protocol Numbers)", is_flag=True ) @click.option( "--l4-dst-port", help="Deletes packet match for this rule: L4 destination port", is_flag=True ) @click.option( "--inner-ether-type", help="Deletes packet match for this rule: inner EtherType (IANA Ethertypes)", is_flag=True ) @click.option( "--hash", help="Deletes hash for this rule", is_flag=True ) @click.option( "--packet-action", help="Deletes packet action for this rule", is_flag=True ) @click.option( "--flow-counter", help="Deletes packet/byte counter for this rule", is_flag=True ) @clicommon.pass_db def PBH_RULE_update_field_del( db, table_name, rule_name, priority, gre_key, ether_type, ip_protocol, ipv6_next_header, l4_dst_port, inner_ether_type, hash, packet_action, flow_counter ): """ Delete object field from PBH_RULE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) rule_name_validator(ctx, db.cfgdb_pipe, table_name, rule_name) table = str(PBH_RULE_CDB) key = (str(table_name), str(rule_name)) data = {} if priority: data[PBH_RULE_PRIORITY] = None if gre_key: data[PBH_RULE_GRE_KEY] = None if ether_type: data[PBH_RULE_ETHER_TYPE] = None if ip_protocol: data[PBH_RULE_IP_PROTOCOL] = None if ipv6_next_header: data[PBH_RULE_IPV6_NEXT_HEADER] = None if l4_dst_port: data[PBH_RULE_L4_DST_PORT] = None if inner_ether_type: data[PBH_RULE_INNER_ETHER_TYPE] = None if hash: data[PBH_RULE_HASH] = None if packet_action: data[PBH_RULE_PACKET_ACTION] = None if flow_counter: data[PBH_RULE_FLOW_COUNTER] = None if not data: exit_with_error("Error: Failed to update PBH rule: options are not provided", fg="red") match_total, match_count = pbh_match_count(db.cfgdb_pipe, table, key, data) if match_count >= match_total: exit_with_error("Error: Failed to update PBH rule: match options are required", fg="red") cap = pbh_capabilities_query(db.db, PBH_RULE_CAPABILITIES_KEY) if cap is None: exit_with_error("Error: Failed to query PBH rule capabilities: configuration is not available", fg="red") try: update_entry(db.cfgdb_pipe, cap, table, key, data) if flow_counter: update_pbh_counters(table_name, rule_name) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_RULE.command(name="delete") @click.argument( "table-name", nargs=1, required=True ) @click.argument( "rule-name", nargs=1, required=True ) @clicommon.pass_db def PBH_RULE_delete(db, table_name, rule_name): """ Delete object from PBH_RULE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) rule_name_validator(ctx, db.cfgdb_pipe, table_name, rule_name) table = str(PBH_RULE_CDB) key = (str(table_name), str(rule_name)) try: del_entry(db.cfgdb_pipe, table, key) update_pbh_counters(table_name, rule_name) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") # # PBH table ----------------------------------------------------------------------------------------------------------- # @PBH.group( name="table", cls=clicommon.AliasedGroup ) def PBH_TABLE(): """ Configure PBH table""" pass @PBH_TABLE.command(name="add") @click.argument( "table-name", nargs=1, required=True ) @click.option( "--interface-list", help="Interfaces to which this table is applied", required=True ) @click.option( "--description", help="The description of this table", required=True ) @clicommon.pass_db def PBH_TABLE_add(db, table_name, interface_list, description): """ Add object to PBH_TABLE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name, False) table = str(PBH_TABLE_CDB) key = str(table_name) data = {} if interface_list is not None: interface_list_validator(ctx, db.cfgdb_pipe, interface_list) data[PBH_TABLE_INTERFACE_LIST] = interface_list.split(",") if description is not None: data[PBH_TABLE_DESCRIPTION] = description if not data: exit_with_error("Error: Failed to add PBH table: options are not provided", fg="red") try: add_entry(db.cfgdb_pipe, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_TABLE.command(name="update") @click.argument( "table-name", nargs=1, required=True ) @click.option( "--interface-list", help="Interfaces to which this table is applied" ) @click.option( "--description", help="The description of this table", ) @clicommon.pass_db def PBH_TABLE_update(db, table_name, interface_list, description): """ Update object in PBH_TABLE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) table = str(PBH_TABLE_CDB) key = str(table_name) data = {} if interface_list is not None: interface_list_validator(ctx, db.cfgdb_pipe, interface_list) data[PBH_TABLE_INTERFACE_LIST] = interface_list.split(",") if description is not None: data[PBH_TABLE_DESCRIPTION] = description if not data: exit_with_error("Error: Failed to update PBH table: options are not provided", fg="red") cap = pbh_capabilities_query(db.db, PBH_TABLE_CAPABILITIES_KEY) if cap is None: exit_with_error("Error: Failed to query PBH table capabilities: configuration is not available", fg="red") try: update_entry(db.cfgdb_pipe, cap, table, key, data) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") @PBH_TABLE.command(name="delete") @click.argument( "table-name", nargs=1, required=True, ) @clicommon.pass_db def PBH_TABLE_delete(db, table_name): """ Delete object from PBH_TABLE table """ ctx = click.get_current_context() table_name_validator(ctx, db.cfgdb_pipe, table_name) table = str(PBH_TABLE_CDB) key = str(table_name) try: del_entry(db.cfgdb_pipe, table, key) except Exception as err: exit_with_error("Error: {}".format(err), fg="red") # # PBH plugin ---------------------------------------------------------------------------------------------------------- # def register(cli): cli_node = PBH if cli_node.name in cli.commands: raise Exception("{} already exists in CLI".format(cli_node.name)) cli.add_command(PBH)

28.663309

185

0.632398

5,455

39,842

4.353071

0.054445

0.0614

0.022741

0.021983

0.828308

0.77672

0.709341

0.685968

0.62979

0.603302

0

0.005344

0.239145

39,842

1,389

186

28.683945

0.77799

0.104212

0

0.589921

1

0.002964

0.188019

0.003462

0

1

0.04249

false

0.020751

0.005929

0.000988

0.067194

0

null

0

1

0

1

0

1

0

null

0

5

b6a8b1c29d7aa6a2c392ef67077c0dc18af74960

158

py

Python

curso em video - Phython/desafios/desafio 12.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

curso em video - Phython/desafios/desafio 12.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

curso em video - Phython/desafios/desafio 12.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

preco= float(input('Informe o preço o produto: R$ ')) print(f'O produto com preço original de R${preco} com desconto de 5% passar a ser R${preco*0.95:.2f}')

79

102

0.696203

31

158

3.548387

0.677419

0.145455

0

0.037313

0.151899

158

2

102

79

0.783582

0

0.5

0.779874

0

1

0

false

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

5

fcae0e70c44702e01bcf68ec878313149d72fa55

92

py

Python

2021_CPS_festival/test.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

2021_CPS_festival/test.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

2021_CPS_festival/test.py

yehyunchoi/Algorithm

35e32159ee13b46b30b543fa79ab6e81d6719f13

[ "MIT" ]

null

def f() : for i in range(1, 10): print((i * 2 + 5) * 50 +1771 - 1994)

15.333333

44

0.391304

15

92

2.4

0.933333

0

0.288462

0.434783

92

5

45

18.4

0.403846

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

fcb87f7ac89ba6ece95c7d456d8ee294d258f7e4

101

py

Python

fromconfig_yarn/__init__.py

criteo/fromconfig-yarn

3de6241e5fc9968fe0f8a472b4639f528f7913d6

[ "Apache-2.0" ]

null

fromconfig_yarn/__init__.py

criteo/fromconfig-yarn

3de6241e5fc9968fe0f8a472b4639f528f7913d6

[ "Apache-2.0" ]

null

fromconfig_yarn/__init__.py

criteo/fromconfig-yarn

3de6241e5fc9968fe0f8a472b4639f528f7913d6

[ "Apache-2.0" ]

1

2022-02-21T11:36:19.000Z

# pylint: disable=unused-import,missing-docstring from fromconfig_yarn.launcher import YarnLauncher

25.25

49

0.851485

12

101

7.083333

0.916667

0

0.079208

101

3

50

33.666667

0.913978

0.465347

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fcccfc8297957215bd591c3528919a5073c7b220

144

py

Python

tests/utils/singleton_provider.py

BoaVaga/boavaga_server

7d25a68832d3b9f4f5666d0a3d55c99025498511

[ "MIT" ]

null

tests/utils/singleton_provider.py

BoaVaga/boavaga_server

7d25a68832d3b9f4f5666d0a3d55c99025498511

[ "MIT" ]

null

tests/utils/singleton_provider.py

BoaVaga/boavaga_server

7d25a68832d3b9f4f5666d0a3d55c99025498511

[ "MIT" ]

null

from dependency_injector.providers import Singleton def singleton_provider(obj): def clb(): return obj return Singleton(clb)

16

51

0.722222

17

144

6

0.647059

0

0.215278

144

8

52

18

0.902655

0

1

0.4

false

0

0.2

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fce6d17cc4e5b81129feed550d77052af2b1fece

123

py

Python

basic/exercise1.py

jspw/Basic_Python

aa159f576a471c6deebdf1e5f462dfc9ffb4930b

[ "Unlicense" ]

6

2020-06-25T14:52:09.000Z

2021-08-05T20:54:15.000Z

basic/exercise1.py

jspw/Basic_Python

aa159f576a471c6deebdf1e5f462dfc9ffb4930b

[ "Unlicense" ]

null

basic/exercise1.py

jspw/Basic_Python

aa159f576a471c6deebdf1e5f462dfc9ffb4930b

[ "Unlicense" ]

null

print(" this is \\\\ double backslash \nthis is //\\//\\//\\//\\//\\ mountain \nhe is awesome\b y") print("\\\"\\n\\t\\\'")

61.5

99

0.504065

16

123

3.875

0.8125

0

0.113821

123

2

100

61.5

0.568807

0

0.75

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1e2a9e832f58f873b7321bbc54ff649ebdf73c81

21,693

py

Python

bankManage/backEndService/test.py

ShangziXue/A-simple-bank-system

8d08ae8cfd159286a329da7c35ebc4ca77b2fe6d

[ "MIT" ]

null

bankManage/backEndService/test.py

ShangziXue/A-simple-bank-system

8d08ae8cfd159286a329da7c35ebc4ca77b2fe6d

[ "MIT" ]

null

bankManage/backEndService/test.py

ShangziXue/A-simple-bank-system

8d08ae8cfd159286a329da7c35ebc4ca77b2fe6d

[ "MIT" ]

null

from flask import Flask from flask import request from flask import jsonify from flask import make_response from flask_cors import * import json import time app = Flask(__name__) CORS(app, supports_credentials=True) #============================================================================================== # Oracle 数据字典化函数 def makeDictFactory(cursor): columnNames = [d[0].lower() for d in cursor.description] def createRow(*args): return dict(zip(columnNames, args)) return createRow #============================================================================================== # 登录后台功能 @app.route('/login', methods=['POST']) def login(): username = request.form['username'] password = request.form['password'] custype = request.form['custype'] print(username) print(password) print(custype) # print("登录成功") response = make_response(jsonify({ 'code':200, 'msg':'get', 'token':username }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response #============================================================================================== # 支行管理后台功能 @app.route('/bank',methods=['POST']) def bank(): rstype=request.form['type'] if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 response = make_response(jsonify({ 'code':200, 'list':[ {'name': '合肥城南支行','city': '合肥','money': 100000000}, {'name': '南京城北支行','city': '南京','money': 102500000}, {'name': '无锡城北支行','city': '无锡','money': 1000} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，修改或新增记录 response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/staff',methods=['POST']) def staff(): rstype=request.form['type'] if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':200, 'list':[ {'id':'331002199802021545','name': '张三','dept':'人事处','tel':'10086','addr':'黄山路','date_s':'2010-12-30'}, {'id':'33100220001002002X','name': '李四','dept':'财务处','tel':'10010','addr':'合作化路','date_s':'2011-02-00'}, {'id':'331002199011110010','name': '王五','dept':'前台','tel':'10000','addr':'肥西路','date_s':'2019-04-30'} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，修改或新增记录 print('Update') date_s=request.form['date_s'] print(date_s) response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/staffCustomer',methods=['POST']) def staffCustomer(): rstype=request.form['type'] # staffID=request.form['staffID'] # 员工身份证号，用于查询和修改、删除 # custID=request.form['custID'] # 客户身份证号，用于修改、删除 # serviceType=request.form['serviceType'] # 服务类型，用于修改 # old_custID=request.form['old_custID'] # 旧的客户身份证号，用于修改，null代表新增 # old_staffID=request.form['old_staffID'] # 旧的员工身份证号，用于修改 if (rstype=="SearchByStaff"): # Todo: 实现数据库操作，返回查询的结果 staffID=request.form['staffid'] # 员工身份证号，查找所有关于该员工的客户联系 print('SearchByStaff') print(staffID) response = make_response(jsonify({ 'code':200, 'list':[ {'id':'331002199802021545','name': '张三','type':'1'}, {'id':'331002195602021545','name': '李四','type':'0'}, ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=='SearchByCustomer'): # Todo: 实现数据库操作，返回查询的结果 custID=request.form['custid'] # 客户身份证号，查找所有关于该客户的员工联系 print('SearchByCustomer') print(custID) response = make_response(jsonify({ 'code':200, 'list':[ {'staffid':'331002199802021545','staffname': '张三','type':'1'}, {'staffid':'331002195602021545','staffname': '李四','type':'0'}, ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，修改或新增记录（建议使用视图） # 并将修改或新增的记录返回给前端（前端需要的主要是名字，但是为了兼容性，应该将整条记录都返回） print('Update') response = make_response(jsonify({ 'code':200, 'record': {'id':'331002199802021545','name': '张三','staffid':'331002199802021545','staffname': '李四','type':'1'} }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') staffID=request.form['staffid'] # 员工身份证号 custID=request.form['custid'] # 客户身份证号，这两个主键可以用于删除联系 print(staffID) print(custID) response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/pay',methods=['POST']) def pay(): rstype=request.form['type'] # id=request.form['loanID'] # 贷款号，用于查询和新增支付记录 # date=request.form['date'] # 支付日期，用于新增记录 # money=request.form['money'] # 支付金额，用于新增记录 if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':400, 'list':[ #{'date':'2019-05-03','money':2500}, #{'date':'2019-05-04','money':2000}, #{'date':'2019-05-05','money':3000} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Insert"): # Todo: 实现数据库操作，修改或新增记录 print('Insert') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/accountCustomer',methods=['POST']) def accountCustomer(): rstype=request.form['type'] # id=request.form['accID'] # 账户号，用于查询和新增户主 # bank=request.form['bank'] # 开户银行 # ownerID=request.form['ownerID'] # 户主身份证号，用于新增记录 print(rstype) if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':200, 'list':[ {'ownerID':'11111','ownerName':'柳树'}, {'ownerID':'11112','ownerName':'杨树'}, {'ownerID':'11222','ownerName':'柏树'} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Insert"): # Todo: 实现数据库操作，新增记录 print('Insert') id=request.form['accID'] # 账户号，用于查询和新增户主 bank=request.form['bank'] # 开户银行 ownerID=request.form['ownerID'] # 户主身份证号，用于新增记录 response = make_response(jsonify({ 'code':200, 'record': {'ID':id,'bank':bank,'ownerID':ownerID,'ownerName':'王五'} }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/customer',methods=['POST']) def customer(): rstype=request.form['type'] if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':200, 'list':[ {'id':'331002199802021545','name': '张三','tel':'10086','addr':'黄山路', 'name_link':'张三丰','tel_link':'112','email_link':'4323@qq.com','relation':'父子'}, {'id':'331002195602021545','name': '李四','tel':'10086','addr':'黄山路', 'name_link':'张三丰','tel_link':'112','email_link':'4323@qq.com','relation':'父子'}, {'id':'331002199802021555','name': '王五','tel':'10086','addr':'黄山路', 'name_link':'张三丰','tel_link':'112','email_link':'4323@qq.com','relation':'父子'} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，修改或新增记录 print('Update') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/account',methods=['POST']) def account(): rstype=request.form['type'] if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':200, 'list':[ {'id': "123000",'owner': "张三，李四，王五，马云，刘强东",'bank': "合肥支行",'money':2563.00, 'open_date': '2016-2-20','visit_date': '2018-5-6','type': '0','interest': 0.043,'cashtype': '1'}, {'id': "123020",'owner': "刘强东",'bank': "合肥支行",'money':23563.00, 'open_date': '2016-2-20','visit_date': '2018-5-6','type': '1','overdraft': 25000000} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，修改或新增记录 print('Update') ownerid=request.form['ownerid'] print(ownerid) response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/loan',methods=['POST']) def loan(): rstype=request.form['type'] if (rstype=="Search"): # Todo: 实现数据库操作，返回查询的结果 print('Search') response = make_response(jsonify({ 'code':200, 'list':[ {'id': "123000",'customer': "10000 张三",'bank': "合肥支行",'amount':2563.00,'status':'0'}, {'id': "123001",'customer': "10001 李四",'bank': "合肥支行",'amount':252263.00,'status':'1'}, {'id': "123023",'customer': "10002 王五",'bank': "合肥支行",'amount':25.00,'status':'2'} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Update"): # Todo: 实现数据库操作，新增记录，注意customer字段是所有贷款人的身份证号，使用英文逗号分隔，建议使用事务发放贷款 print('Update') response = make_response(jsonify({ 'code':200, 'customer': '10000 张三\n10001 李四\n10002 王五' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if (rstype=="Delete"): # Todo: 实现数据库操作，删除记录 print('Delete') response = make_response(jsonify({ 'code':200, 'msg': 'ok' }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response @app.route('/summary',methods=['POST']) def summary(): # Todo: 根据前端返回的要求，实现数据库操作，返回统计数据。另外，可以生成统计图，路径为static/summary.png，以供前端调用 response = make_response(jsonify({ 'code':200, 'columnList':['合肥支行','南京支行','上海支行','杭州支行','宁波支行'], 'rawData':[ {'time':'2018.4','合肥支行':52,'南京支行':5,'杭州支行':52,'宁波支行':20}, {'time':'2018.12','合肥支行':25,'南京支行':45,'上海支行':21,'杭州支行':41,'宁波支行':25}, {'time':'2020.2','南京支行':35,'上海支行':54,'杭州支行':29,'宁波支行':17} ] }) ) response.headers['Access-Control-Allow-Origin'] = '*' response.headers['Access-Control-Allow-Methods'] = 'OPTIONS,HEAD,GET,POST' response.headers['Access-Control-Allow-Headers'] = 'x-requested-with' return response if __name__ == '__main__': app.run(host='0.0.0.0') # app.run()

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0.68147

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21,693

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47.676923

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0

1

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null

0

5

1e6d59a9284843a44645426577d2033e24a2fb25

1,567

py

Python

foruse/watch.py

vistoyn/python-foruse

312588d25ac391aa7b3325b7cb4c8f8188b559c7

[ "MIT" ]

1

2016-08-19T20:37:51.000Z

foruse/watch.py

vistoyn/python-foruse

312588d25ac391aa7b3325b7cb4c8f8188b559c7

[ "MIT" ]

1

2016-04-28T19:31:21.000Z

foruse/watch.py

vistoyn/python-foruse

312588d25ac391aa7b3325b7cb4c8f8188b559c7

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Watcher. # Мониторит файлы py на наличие изменений и перезапускает приложение когда они были изменены import sys import time import _thread loaded_modules_cache=set() is_watching = True # Возвращает список загруженных модулей def get_loaded_modules_path(): paths=set() for name in sys.modules: try: paths = paths + sys.modules[name].__file__ except: pass new = loaded_modules_cache - paths return paths, new def cache_loaded_modules(paths): loaded_modules_cache = paths def is_changed(paths): return False def restart_with_reloader(): while True: args = [sys.executable] + ['-W%s' % o for o in sys.warnoptions] + sys.argv if sys.platform == "win32": args = ['"%s"' % arg for arg in args] new_environ = os.environ.copy() new_environ["RUN_MAIN"] = 'true' exit_code = os.spawnve(os.P_WAIT, sys.executable, args, new_environ) if exit_code != 3: return exit_code def watch(): global is_watching paths, new = get_loaded_modules_path() is_changed(paths) while is_watching: try: time.sleep(1) paths, new = get_loaded_modules_path() if is_changed(paths): is_watching = False exit_code = restart_with_reloader() sys.exit(exit_code) except KeyboardInterrupt: print('interrupted!') sys.exit(-1) pass cache_loaded_modules(paths) #!endwhile #!enddef def run_watch(main_func, *args, **kwargs): _thread.start_new_thread(main_func, args, **kwargs) watch() pass #!enddef

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null

0

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1

0

null

0

1

0

5

1e7e68167e4020017fa241e1afa50392f56a4227

135

py

Python

ml_enabler/exceptions.py

gaoxm/ml-enabler-cli

91874757f039e6cd9d84696b5688c9914d29e284

[ "BSD-2-Clause" ]

5

2019-07-23T22:42:45.000Z

2020-02-28T09:57:33.000Z

ml_enabler/exceptions.py

gaoxm/ml-enabler-cli

91874757f039e6cd9d84696b5688c9914d29e284

[ "BSD-2-Clause" ]

17

2019-06-06T17:56:10.000Z

2019-09-18T03:17:04.000Z

ml_enabler/exceptions.py

gaoxm/ml-enabler-cli

91874757f039e6cd9d84696b5688c9914d29e284

[ "BSD-2-Clause" ]

1

2020-05-11T00:54:55.000Z

class InvalidData(Exception): pass class InvalidModelResponse(Exception): pass class ImageFetchError(Exception): pass

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null

1

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null

0

1

0

5

1edfc3a473af34c28bd0a07eb797ebfb50cbd5af

191

py

Python

pyaztec/core.py

DGX2000/PyAztec

b6284bb9dbadc954b5e877dcfc204056705b8205

[ "MIT" ]

null

pyaztec/core.py

DGX2000/PyAztec

b6284bb9dbadc954b5e877dcfc204056705b8205

[ "MIT" ]

null

pyaztec/core.py

DGX2000/PyAztec

b6284bb9dbadc954b5e877dcfc204056705b8205

[ "MIT" ]

null

def decode(): # Step 1: detect symbol => crop+size # Step 2: crop+size => np.array # Step 3: np.array+Size => bitstring # Step 4: bitstring => original text return False

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null

0

1

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null

0

1

0

1

0

5

1ee03b5faff26d8ae10225e7c96023ae0730a7b7

176

py

Python

molfunc/__init__.py

t-young31/molfunc

7b81b21bd3bec26f1ef130335674394be8569eff

[ "MIT" ]

24

2020-05-13T16:13:36.000Z

2022-02-10T10:19:05.000Z

molfunc/__init__.py

t-young31/molfunc

7b81b21bd3bec26f1ef130335674394be8569eff

[ "MIT" ]

11

2020-06-07T11:01:52.000Z

2021-11-07T12:08:01.000Z

molfunc/__init__.py

t-young31/molfunc

7b81b21bd3bec26f1ef130335674394be8569eff

[ "MIT" ]

9

2020-06-06T19:52:15.000Z

2022-02-15T07:02:00.000Z

from molfunc.molecules import print_combined_molecule from molfunc.fragments import names as fragment_names __all__ = ['print_combined_molecule', 'fragment_names']

29.333333

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null

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1

0

1

0

5

948ef6862e8383ab0401c5f4cb71c4bf3df6ed70

27,434

py

Python

utils/smallmodel_functions.py

SilverEngineered/Quilt

bd6357fd3b5543e908fa57f904f177d75fa6873e

[ "MIT" ]

null

utils/smallmodel_functions.py

SilverEngineered/Quilt

bd6357fd3b5543e908fa57f904f177d75fa6873e

[ "MIT" ]

null

utils/smallmodel_functions.py

SilverEngineered/Quilt

bd6357fd3b5543e908fa57f904f177d75fa6873e

[ "MIT" ]

null

from scipy.stats import mode import warnings import pennylane as qml from pennylane import numpy as np from pennylane.templates import AmplitudeEmbedding import numpy import operator import os warnings.filterwarnings('ignore') warnings.filterwarnings('ignore') def performance(labels, predictions, definition='majority'): acc = 0 fps = 0 fng = 0 tps = 0 tng = 0 for l, pred in zip(labels, predictions): p = mode(np.sign(pred))[0][0] if definition == 'averaged': p = np.sign(np.mean(pred)) print(l, pred, p) if l == -1 and p == -1: tps += 1 acc += 1 elif l == -1 and p == 1: fng += 1 elif l == 1 and p == -1: fps += 1 elif l == 1 and p == 1: tng += 1 acc += 1 acc /= len(labels) tpr = 0 if (tps + fng) == 0 else tps / (tps + fng) tnr = 0 if (tng + fps) == 0 else tng / (tng + fps) fpr = 1 - tnr fnr = 1 - tpr ppv = 0 if (tps + fps) == 0 else tps / (tps + fps) npv = 0 if (tng + fng) == 0 else tng / (tng + fng) return acc, tpr, tnr, fpr, fnr, ppv, npv def layer(W, num_wires, layer_configuration): for j in range(3): for i in range(num_wires): qml.Rot(W[i, 0], W[i, 1], W[i, 2], wires=i) qml.CNOT(wires=[0, 1]) qml.CNOT(wires=[1, 2]) qml.CNOT(wires=[2, 3]) qml.CNOT(wires=[3, 4]) qml.CNOT(wires=[4, 0]) @qml.qnode(qml.device(name='default.qubit', wires=5)) def classifier(weights, features=None, num_wires=5, layer_configuration=1): AmplitudeEmbedding(features=features, wires=range(num_wires), normalize=True) layer(weights, num_wires, layer_configuration) return [qml.expval(qml.PauliZ(0))] @qml.qnode(qml.device(name='default.qubit', wires=5)) def assisted_classifier(weights, features=None, num_wires=5, layer_configuration=1): AmplitudeEmbedding(features=features, wires=range(num_wires), normalize=True) for count, W in enumerate(weights): layer(W, num_wires,layer_configuration) return [qml.expval(qml.PauliZ(0))] ''' @qml.qnode(qml.device(name='qiskit.ibmq', wires=5, backend='ibmq_manila', ibmqx_token="f75a3efcda7934b18c5ae023d3becc2d00537f13d500bdca5c7844385fa019f9bc84d766098e28d2c836a4c952434b6e2e902f173b5678c1de89bfe776a9ac81")) def assisted_classifier_real(weights, features=None, num_wires=5, layer_configuration=1): AmplitudeEmbedding(features=features.astype('float64'), wires=range(num_wires), normalize=True) for count, W in enumerate(weights): layer(W, num_wires, layer_configuration) return [qml.expval(qml.PauliZ(0))] ''' def assisted_classifier_real(weights, features=None, num_wires=5, layer_configuration=1): pass @qml.qnode(qml.device(name='default.qubit', wires=5)) def assisted_classifier_hefty(weights, features=None, num_wires=5, layer_configuration=1): AmplitudeEmbedding(features=features, wires=range(num_wires), normalize=True) for count, W in enumerate(weights): layer(W, num_wires,layer_configuration) return [qml.expval(qml.PauliZ(0)), qml.expval(qml.PauliZ(1)), qml.expval(qml.PauliZ(2)), qml.expval(qml.PauliZ(3)), qml.expval(qml.PauliZ(4))] def square_loss(labels, predictions, alpha): loss = 0 for l, p in zip(labels, predictions): loss += ((l - p[0]) ** 2) loss = loss / len(labels) return loss def square_loss_hefty(labels, predictions): loss = 0 for l, p in zip(labels, predictions): loss += ((l - p[0]) ** 2) loss += ((l - p[1]) ** 2) loss += ((l - p[2]) ** 2) loss += ((l - p[3]) ** 2) loss += ((l - p[4]) ** 2) return loss def square_loss_assisted(labels, predictions, num_qubits=2, alpha=.5): return square_loss(labels, predictions, alpha) def cost(x, features, labels, alpha, layer_configuration=1): predictions = [classifier(x, features=f, layer_configuration=layer_configuration) for f in features] loss = square_loss(labels, predictions, alpha) return loss def cost_assisted(x, features, labels, alpha, layer_configuration=1): predictions = [assisted_classifier(x, features=f, layer_configuration=layer_configuration) for f in features] loss = square_loss_assisted(labels, predictions, alpha) return loss def cost_hefty(x, features, labels, alpha, layer_configuration=1): predictions = [assisted_classifier_hefty(x, features=f, layer_configuration=layer_configuration) for f in features] loss = square_loss_hefty(labels, predictions) return loss def accuracy(labels, predictions): acc = 0 for l, p, in zip(labels, predictions): if abs(l - p[0]) < 1e-5 or abs(l - p[1]) < 1e-5: acc = acc + 1 acc = acc / len(labels) return acc def accuracy_single(labels, predictions): acc = 0 for l, p, in zip(labels, predictions): if abs(l - p) < 1e-5: acc = acc + 1 acc = acc / len(labels) return acc def accuracy_full(labels, predictions_b0, predictions_b1=None, predictions_b2=None): acc = 0 if predictions_b1 is None and predictions_b2 is None: for l, b0 in zip(labels, predictions_b0): if abs(l - b0) < 1e-5: acc = acc + 1 acc = acc / len(labels) return acc if predictions_b2 is None: for l, b0, b1 in zip(labels, predictions_b0, predictions_b1): if abs(l[0] - b0) < 1e-5 and abs(l[1] - b1) < 1e-5: acc = acc + 1 acc = acc / len(labels) return acc for l, b0, b1, b2 in zip(labels, predictions_b0, predictions_b1, predictions_b2): if abs(l[0] - b0) < 1e-5 and abs(l[1] - b1) < 1e-5 and abs(l[2] - b2) < 1e-5: acc = acc + 1 acc = acc / len(labels) return acc def prediction(classifier_out): sign = np.sign(np.sum([np.sign(i) for i in classifier_out])) return sign def prediction_single(classifier_out): return np.sign(classifier_out) def loader(dataset_name, crazy=False): clipped = dataset_name[1:] num = dataset_name[0] if not crazy: if len(dataset_name) > 1: x = np.load(os.path.join('data', clipped, 'full_x.npy')) y = np.load(os.path.join('data', clipped, num + str('_y.npy'))) indecies = [c for c,i in enumerate(list(y)) if i == -1] indecies_not = [c for c, i in enumerate(list(y)) if i == 1] num_cases = len(indecies) indecies_not = list(np.array(indecies_not)[np.random.randint(0, len(indecies_not), (num_cases,))]) full_indecies = np.array(indecies + indecies_not) x = x[full_indecies] y = y[full_indecies] else: x = np.load(os.path.join('data', 'splits', 'full_x.npy')) y = np.load(os.path.join('data', 'splits', dataset_name + str('_y.npy'))) return x, y else: if dataset_name == "msb_splits_fashion_4": x = np.load(os.path.join('data', 'splits_fashion_4', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_fashion_4', 'full_y.npy')) y = [i[0] for i in y] return x, y if dataset_name == "lsb_splits_fashion_4": x = np.load(os.path.join('data', 'splits_fashion_4', 'full_x.npy')) y = np.load(os.path.join('data','splits_fashion_4', 'full_y.npy')) y = [i[1] for i in y] return x, y if dataset_name == "msb_splits_fashion_8": x = np.load(os.path.join('data', 'splits_fashion_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_fashion_8', 'full_y.npy')) y = [i[0] for i in y] return x, y if dataset_name == "mid_splits_fashion_8": x = np.load(os.path.join('data', 'splits_fashion_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_fashion_8', 'full_y.npy')) y = [i[1] for i in y] return x, y if dataset_name == "lsb_splits_fashion_8": x = np.load(os.path.join('data', 'splits_fashion_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_fashion_8', 'full_y.npy')) y = [i[2] for i in y] return x, y if dataset_name == "lsb_splits_cifar_4": x = np.load(os.path.join('data', 'splits_cifar_4', 'full_x.npy')) y = np.load(os.path.join('data','splits_cifar_4', 'full_y.npy')) y = [i[1] for i in y] return x, y if dataset_name == "msb_splits_cifar_8": x = np.load(os.path.join('data', 'splits_cifar_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_cifar_8', 'full_y.npy')) y = [i[0] for i in y] return x, y if dataset_name == "mid_splits_cifar_8": x = np.load(os.path.join('data', 'splits_cifar_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_cifar_8', 'full_y.npy')) y = [i[1] for i in y] return x, y if dataset_name == "lsb_splits_cifar_8": x = np.load(os.path.join('data', 'splits_cifar_8', 'full_x.npy')) y = np.load(os.path.join('data', 'splits_cifar_8', 'full_y.npy')) y = [i[2] for i in y] return x, y def weights_save(weights, dataset, epoch, batch_size, accuracy, accs, is_aux): if is_aux: weights_save_regardless(weights,dataset,epoch,batch_size, accuracy) else: path_prefix = os.path.join('weights', 'MNIST', 'splits', dataset) file_path = os.path.join(path_prefix, 'data.csv') weights_path = os.path.join(path_prefix, "weights") acc_path = os.path.join(path_prefix, "accs") meta_data = "Epoch, Batch_size, Accuracy\n" + str(epoch) + "," + str(batch_size) + "," + str(accuracy) if not os.path.exists(path_prefix): os.makedirs(path_prefix) np.save(weights_path, weights) file = open(file_path, "w") file.write(meta_data) np.save(acc_path, accs) file.close() file = open(file_path, "r") best_acc = float(file.read().split('\n')[1].split(',')[-1]) file.close() if (accuracy > best_acc): np.save(weights_path, weights) file = open(file_path, "w") file.write(meta_data) np.save(acc_path, accs) file.close() def weights_save_regardless(weights, dataset, epoch, batch_size, accuracy): path_prefix = os.path.join('weights', 'MNIST', 'splits', dataset) file_path = os.path.join(path_prefix, 'data.csv') weights_path = os.path.join(path_prefix, "weights") meta_data = "Epoch, Batch_size, Accuracy\n" + str(epoch) + "," + str(batch_size) + "," + str(accuracy) if not os.path.exists(path_prefix): os.makedirs(path_prefix) np.save(weights_path, weights) file = open(file_path, "w") file.write(meta_data) file.close() def flis(num, comp): if abs(num - comp) < 1e-5: return True return False def flis_r(num1, num2, num3, comp): if flis(num1, comp) and flis(num2, comp): return True if flis(num2, comp) and flis(num3, comp): return True if flis(num1, comp) and flis(num3, comp): return True return False def flis_r_or(num1, num2, num3, comp): if flis(num1, comp) or flis(num2, comp) or flis(num3, comp): return True return False def decision_rule(m, l, i0, i1, i2, i3, e0, e1, e2, e3): if flis(m, -1) and flis(l, -1): if flis(i0, -1) and flis(e0, -1): return (-1, -1, True) if flis(m, -1) and flis(l, 1): if flis(i1, -1) and flis(e1, -1): return (-1, 1, True) if flis(m, 1) and flis(l, -1): if flis(i2, -1) and flis(e2, -1): return (1, -1, True) if flis(m, 1) and flis(l, 1): if flis(i3, -1) and flis(e3, -1): return (1, 1, True) return (m,l, False) def decision_rule_or(m0, m1, m2, l0, l1, l2, i0, i1, i2, i3, e0, e1, e2, e3): if flis_r(m0, m1, m2, -1) and flis_r(l0, l1, l2,-1): if flis(i0, -1) or flis(e0, -1): return (-1, -1, True) if flis_r(m0, m1, m2, -1) and flis_r(l0, l1, l2,1): if flis(i1, -1) or flis(e1, -1): return (-1, 1, True) if flis_r(m0, m1, m2, 1) and flis_r(l0, l1, l2,-1): if flis(i2, -1) or flis(e2, -1): return (1, -1, True) if flis_r(m0, m1, m2, 1) and flis_r(l0, l1, l2,1): if flis(i3, -1) or flis(e3, -1): return (1, 1, True) if flis(i0, -1) and flis(e0, -1) and flis_r_or(m0, m1 ,m2,-1) and flis_r_or(l0, l1 ,l2,-1): return (-1, -1, True) if flis(i1, -1) and flis(e1, -1) and flis_r_or(m0, m1 ,m2,-1) and flis_r_or(l0, l1 ,l2,1): return (-1, 1, True) if flis(i1, -1) and flis(e1, -1) and flis_r_or(m0, m1 ,m2,1) and flis_r_or(l0, l1 ,l2,-1): return (1, -1, True) if flis(i1, -1) and flis(e1, -1) and flis_r_or(m0, m1 ,m2,1) and flis_r_or(l0, l1 ,l2,1): return (1, 1, True) return (m0,l0, False) def decision_rule_points(m0, m1, m2, l0, l1, l2, i0, i1, i2, i3, e0, e1, e2, e3): if flis_r(m0, m1, m2, -1) and flis_r(l0, l1, l2,-1): if flis(i0, -1) and flis(e0, -1): return (-1, -1, True) if flis_r(m0, m1, m2, -1) and flis_r(l0, l1, l2,1): if flis(i1, -1) and flis(e1, -1): return (-1, 1, True) if flis_r(m0, m1, m2, 1) and flis_r(l0, l1, l2,-1): if flis(i2, -1) and flis(e2, -1): return (1, -1, True) if flis_r(m0, m1, m2, 1) and flis_r(l0, l1, l2,1): if flis(i3, -1) and flis(e3, -1): return (1, 1, True) if flis(e0, -1) and not flis(e1, -1) and not flis(e2, -1) and not flis(e3, -1): return (-1, -1, True) if not flis(e0, -1) and flis(e1, -1) and not flis(e2, -1) and not flis(e3, -1): return (-1, 1, True) if not flis(e0, -1) and not flis(e1, -1) and flis(e2, -1) and not flis(e3, -1): return (1, -1, True) if not flis(e0, -1) and not flis(e1, -1) and not flis(e2, -1) and flis(e3, -1): return (1, 1, True) points = {'0': 0, '1': 0, '2': 0, '3': 0} if flis(m0,1): points['2']+=1 points['3']+=1 else: points['0']+=1 points['1']+=1 if flis(m1,1): points['2']+=1 points['3']+=1 else: points['0']+=1 points['1']+=1 if flis(m2,1): points['2']+=1 points['3']+=1 else: points['0']+=1 points['1']+=1 if flis(l0,1): points['1']+=1 points['3']+=1 else: points['0']+=1 points['2']+=1 if flis(l1,1): points['1']+=1 points['3']+=1 else: points['0']+=1 points['2']+=1 if flis(l2,1): points['1']+=1 points['3']+=1 else: points['0']+=1 points['2']+=1 if flis(i0,-1): points['0']+=1 if flis(i1,-1): points['1']+=1 if flis(i2,-1): points['2']+=1 if flis(i3,-1): points['3']+=1 if flis(e0,-1): points['0']+=3 if flis(e1,-1): points['1']+=3 if flis(e2,-1): points['2']+=3 if flis(e3,-1): points['3']+=3 selection = max(points, key=points.get) if selection == "0": return (-1, -1, False) if selection == "1": return (-1, 1, False) if selection == "2": return (1, -1, False) if selection == "3": return (1, 1, False) def decision_rule_combo_assist(b, a0, a1, a2, a3, a4, a5, a6, a7, rule=1): if rule ==1: if flis(b[0], -1) and flis(b[1], -1) and flis(b[2], -1) and majority(a0): return b[0], b[1], b[2], True if flis(b[0], -1) and flis(b[1], -1) and flis(b[2], 1) and majority(a1): return b[0], b[1], b[2], True if flis(b[0], -1) and flis(b[1], 1) and flis(b[2], -1) and majority(a2): return b[0], b[1], b[2], True if flis(b[0], -1) and flis(b[1], 1) and flis(b[2], 1) and majority(a3): return b[0], b[1], b[2], True if flis(b[0], 1) and flis(b[1], -1) and flis(b[2], -1) and majority(a4): return b[0], b[1], b[2], True if flis(b[0], 1) and flis(b[1], -1) and flis(b[2], 1) and majority(a5): return b[0], b[1], b[2], True if flis(b[0], 1) and flis(b[1], 1) and flis(b[2], -1) and majority(a6): return b[0], b[1], b[2], True if flis(b[0], 1) and flis(b[1], 1) and flis(b[2], 1) and majority(a7): return b[0], b[1], b[2], True return decision_rule_combo_points(b, a0, a1, a2, a3, a4, a5, a6, a7) def decision_rule_combo_points(b, a0, a1, a2, a3, a4, a5, a6, a7): cases = {'0': 0, '1': 0, '2': 0, '3': 0, '4': 0, '5': 0, '6': 0, '7': 0} b_score = 2 f_score = 1 if flis(b[0], -1) and flis(b[1], -1) and flis(b[2], -1): cases['0'] +=b_score if flis(b[0], -1) and flis(b[1], -1) and flis(b[2], 1): cases['1'] += b_score if flis(b[0], -1) and flis(b[1], 1) and flis(b[2], -1): cases['2'] += b_score if flis(b[0], -1) and flis(b[1], 1) and flis(b[2], 1): cases['3'] += b_score if flis(b[0], 1) and flis(b[1], -1) and flis(b[2], -1): cases['4'] += b_score if flis(b[0], 1) and flis(b[1], -1) and flis(b[2], 1): cases['5'] += b_score if flis(b[0], 1) and flis(b[1], 1) and flis(b[2], -1): cases['6'] += b_score if flis(b[0], 1) and flis(b[1], 1) and flis(b[2], 1): cases['7'] += b_score for i in a0: if np.sign(i) == -1: cases['0'] += f_score for i in a1: if np.sign(i) == -1: cases['1'] += f_score for i in a2: if np.sign(i) == -1: cases['2'] += f_score for i in a3: if np.sign(i) == -1: cases['3'] += f_score for i in a4: if np.sign(i) == -1: cases['4'] += f_score for i in a5: if np.sign(i) == -1: cases['5'] += f_score for i in a6: if np.sign(i) == -1: cases['6'] += f_score for i in a7: if np.sign(i) == -1: cases['7'] += f_score selection = max(cases, key=cases.get) if selection =='0': return -1, -1, -1, False if selection =='1': return -1, -1, 1, False if selection =='2': return -1, 1, -1, False if selection =='3': return -1, 1, 1, False if selection =='4': return 1, -1, -1, False if selection =='5': return 1, -1, 1, False if selection =='6': return 1, 1, -1, False if selection =='7': return 1, 1, 1, False else: print("ERROR") def majority(a): if np.sum([np.sign(i) for i in a]) <= -1: return True return False def decision_rule_combo_assist_2q(b, a0, a1, a2, a3, rule=1): if rule ==1: if flis(b[0], -1) and flis(b[1], -1) and majority(a0): return b[0], b[1], True if flis(b[0], -1) and flis(b[1], 1) and majority(a1): return b[0], b[1], True if flis(b[0], 1) and flis(b[1], -1) and majority(a2): return b[0], b[1], True if flis(b[0], 1) and flis(b[1], 1) and majority(a3): return b[0], b[1], True return decision_rule_combo_assist_2q(b, a0, a1, a2, a3, rule=3) if rule ==2: if flis(b[0], -1) and flis(b[1], -1) and (flis(a0[1], -1) or flis(a0[0], -1)): return (b[0], b[1], True) if flis(b[0], -1) and flis(b[1], -1) and (flis(a1[1], -1) or flis(a1[0], -1)): return (b[0], b[1], True) if flis(b[0], -1) and flis(b[1], 1) and (flis(a2[1], -1) or flis(a2[0], -1)): return (b[0], b[1], True) if flis(b[0], -1) and flis(b[1], 1) and (flis(a3[1], -1) or flis(a3[0], -1)): return (b[0], b[1], True) if rule ==3: cases = {'0': 0, '1': 0, '2': 0, '3': 0} b_score = 3 f_score = 1 if flis(b[0], -1): cases['0'] += b_score cases['1'] += b_score if flis(b[0], 1): cases['2'] += b_score cases['3'] += b_score if flis(b[1], -1): cases['0'] += b_score cases['2'] += b_score if flis(b[1], 1): cases['1'] += b_score cases['3'] += b_score for i in a0: if np.sign(i) == -1: cases['0'] += f_score for i in a1: if np.sign(i) == -1: cases['1'] += f_score for i in a2: if np.sign(i) == -1: cases['2'] += f_score for i in a3: if np.sign(i) == -1: cases['3'] += f_score selection = max(cases, key=cases.get) if selection == '0': return -1, -1, False if selection == '1': return -1, 1, False if selection == '2': return 1, -1, False if selection == '3': return 1, 1, False else: print("ERROR") def decision_rule_combo_assist_1q(b, a0, a1, rule=1): if rule ==1: if flis(b, -1) and majority(a0): return b, True if flis(b, 1) and majority(a1): return b, True return decision_rule_combo_assist_1q(b, a0, a1, rule=3) if rule ==2: if flis(b, -1) and (flis(a0[1], -1) or flis(a0[0], -1)): return b, True if flis(b, -1) and (flis(a1[1], -1) or flis(a1[0], -1)): return b[0], True if rule ==3: cases = {'0': 0, '1': 0} b_score = 2 f_score = 1 if flis(b, -1): cases['0'] += b_score if flis(b, 1): cases['1'] += b_score for i in a0: if np.sign(i) == -1: cases['0'] += f_score for i in a1: if np.sign(i) == -1: cases['1'] += f_score selection = max(cases, key=cases.get) if selection == '0': return -1, False if selection == '1': return 1, False else: print("ERROR") def repair(bad_bit, guess, assistants, abs): if len(assistants) ==8: if bad_bit == 0: if guess[1] == -1 and guess[2] == -1: if flis(assistants[0], -1): return [-1, guess[1], guess[2]] else: return [1, guess[1], guess[2]] if guess[1] == -1 and guess[2] == 1: if flis(assistants[1], -1): return [-1, guess[1], guess[2]] else: return [1, guess[1], guess[2]] if guess[1] == 1 and guess[2] == -1: if flis(assistants[2], -1): return [-1, guess[1], guess[2]] else: return [1, guess[1], guess[2]] if guess[1] == 1 and guess[2] == 1: if flis(assistants[3], -1): return [-1, guess[1], guess[2]] else: return [1, guess[1], guess[2]] if bad_bit == 1: if guess[0] == -1 and guess[2] == -1: if flis(assistants[0], -1): return [guess[0], -1, guess[2]] else: return [guess[0], 1, guess[2]] if guess[0] == -1 and guess[2] == 1: if flis(assistants[1], -1): return [guess[0], -1, guess[2]] else: return [guess[0], 1, guess[2]] if guess[0] == 1 and guess[2] == -1: if flis(assistants[4], -1): return [guess[0], -1, guess[2]] else: return [guess[0], 1, guess[2]] if guess[0] == 1 and guess[2] == 1: if flis(assistants[5], -1): return [guess[0], -1, guess[2]] else: return [guess[0], 1, guess[2]] if bad_bit == 2: if guess[0] == -1 and guess[1] == -1: if flis(assistants[0], -1): return [guess[0], guess[1], -1] else: return [guess[0], guess[1], 1] if guess[0] == -1 and guess[1] == 1: if flis(assistants[2], -1): return [guess[0], guess[1], -1] else: return [guess[0], guess[1], 1] if guess[0] == 1 and guess[1] == -1: if flis(assistants[4], -1): return [guess[0], guess[1], -1] else: return [guess[0], guess[1], 1] if guess[0] == 1 and guess[1] == 1: if flis(assistants[6], -1): return [guess[0], guess[1], -1] else: return [guess[0], guess[1], 1] if len(assistants) ==4: if bad_bit == 0: if guess[1] == -1: if flis(assistants[0], -1): return [-1, guess[1]] else: return [1, guess[1]] if guess[1] == 1: if flis(assistants[1], -1): return [-1, guess[1]] else: return [1, guess[1]] if bad_bit == 1: if guess[0] == -1: if flis(assistants[0], -1): return [guess[0], -1] else: return [guess[0], 1] if guess[0] == 1: if flis(assistants[2], -1): return [guess[0], -1] elif flis(assistants[3], -1): return [guess[0], 1] return guess ''' if bad_bit == 0: if guess[1] == -1: if np.abs(assistants[0] < np.abs(assistants[2])): return [-1, guess[1]] elif np.abs(assistants[0] > np.abs(assistants[2])): return [1, guess[1]] if guess[1] == 1: if np.abs(assistants[1] < np.abs(assistants[3])): return [-1, guess[1]] elif np.abs(assistants[1] > np.abs(assistants[3])): return [1, guess[1]] if bad_bit == 1: if guess[0] == -1: if np.abs(assistants[0] < np.abs(assistants[1])): return [guess[0], -1] elif np.abs(assistants[0] > np.abs(assistants[1])): return [guess[0], 1] if guess[0] == 1: if np.abs(assistants[2] < np.abs(assistants[3])): return [guess[0], -1] elif np.abs(assistants[2] > np.abs(assistants[3])): return [guess[0], 1] return guess ''' def consensus_decision(ensemble, assistants, tao): all_guesses = [] bad_bits = 0 counts = [] for count, image in enumerate(ensemble): assis = [i[count] for i in assistants] guess = [np.sign(i) for i in image] abs = [numpy.abs(i) for i in image] abs_min = min(abs) if abs_min < tao: bad_bit = numpy.argmin(abs) guess = repair(bad_bit, guess, assis, abs) bad_bits+=1 counts.append(count) all_guesses.append(guess) print("Bad Bits: " + str(bad_bits)) return all_guesses

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null

0

5

94f4060129fe8cf3920b7d6d3c86c8297780811a

369

py

Python

runtests.py

prohfesor/tapiriik

0c476f8bb6b3d51674f0117b054777405ff2ee0d

[ "Apache-2.0" ]

1,445

2015-01-01T21:43:31.000Z

2022-03-17T13:40:23.000Z

runtests.py

prohfesor/tapiriik

0c476f8bb6b3d51674f0117b054777405ff2ee0d

[ "Apache-2.0" ]

441

2015-01-02T03:37:49.000Z

2022-03-31T18:18:03.000Z

runtests.py

prohfesor/tapiriik

0c476f8bb6b3d51674f0117b054777405ff2ee0d

[ "Apache-2.0" ]

333

2015-01-06T12:14:15.000Z

2022-03-27T19:58:48.000Z

import tapiriik.database tapiriik.database.db = tapiriik.database._connection["tapiriik_test"] tapiriik.database.cachedb = tapiriik.database._connection["tapiriik_cache_test"] from tapiriik.testing import * import unittest unittest.main() tapiriik.database._connection.drop_database("tapiriik_test") tapiriik.database._connection.drop_database("tapiriik_cache_test")

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5

a206d099b1ed7d52412fc385d06c556c922dcae7

3,487

py

Python

tests/test_latest_window.py

omri374/fossa

0ca81ba9cceecdc942832bc46e72075278a08ffe

[ "MIT" ]

null

tests/test_latest_window.py

omri374/fossa

0ca81ba9cceecdc942832bc46e72075278a08ffe

[ "MIT" ]

null

tests/test_latest_window.py

omri374/fossa

0ca81ba9cceecdc942832bc46e72075278a08ffe

[ "MIT" ]

null

"""Tests for the LatestWindowAnomalyDetector.""" import pytest from sklearn.exceptions import NotFittedError from fossa import LatestWindowAnomalyDetector from fossa.utils import dummy_data def test_base(): num_categ = 8 clf = LatestWindowAnomalyDetector(p_threshold=0.00001) history = dummy_data( num_days=10, num_categories=num_categ, min_val=100, max_val=1000) new_day = dummy_data( num_days=1, num_categories=num_categ, min_val=100, max_val=1000) clf.fit(history) prediction = clf.predict(new_day) assert len(prediction) == num_categ for x in prediction.values: assert x in [-1, 0, 1] num_new_days = 30 many_days = dummy_data( num_days=num_new_days, num_categories=num_categ, min_val=100, max_val=1000) predictions = clf.predict(many_days) assert len(predictions) == num_categ * num_new_days for x in predictions.values: assert x in [-1, 0, 1] def test_diff_categ(): num_categ_1 = 8 num_categ_2 = 7 clf = LatestWindowAnomalyDetector(p_threshold=0.00001) history = dummy_data( num_days=10, num_categories=num_categ_1, min_val=100, max_val=1000) new_day = dummy_data( num_days=1, num_categories=num_categ_2, min_val=100, max_val=1000) clf.fit(history) prediction = clf.predict(new_day) assert len(prediction) == max(num_categ_1, num_categ_2) for x in prediction.values: assert x in [-1, 0, 1] def test_errors(): # bad p thresholds with pytest.raises(ValueError): LatestWindowAnomalyDetector(p_threshold=2) # bad p thresholds with pytest.raises(ValueError): LatestWindowAnomalyDetector(p_threshold=-1) clf = LatestWindowAnomalyDetector(p_threshold=0.00001) new_day = dummy_data( num_days=1, num_categories=8, min_val=100, max_val=1000) with pytest.raises(NotFittedError): clf.predict(new_day) def test_partial_fit(): num_categ = 8 clf = LatestWindowAnomalyDetector(p_threshold=0.00001) history = dummy_data( num_days=10, num_categories=num_categ, min_val=100, max_val=1000) recent_history = dummy_data( num_days=6, num_categories=num_categ, min_val=100, max_val=1000) new_day = dummy_data( num_days=1, num_categories=num_categ, min_val=100, max_val=1000) clf.fit(history) clf.partial_fit(recent_history) prediction = clf.predict(new_day) assert len(prediction) == num_categ for x in prediction.values: assert x in [-1, 0, 1] def test_non_def_power(): num_categ = 8 clf = LatestWindowAnomalyDetector(p_threshold=0.00001, power=0) history = dummy_data( num_days=10, num_categories=num_categ, min_val=100, max_val=1000) new_day = dummy_data( num_days=1, num_categories=num_categ, min_val=100, max_val=1000) clf.fit(history) prediction = clf.predict(new_day) assert len(prediction) == num_categ for x in prediction.values: assert x in [-1, 0, 1] def test_non_def_ddof(): num_categ = 8 clf = LatestWindowAnomalyDetector(p_threshold=0.00001, power=-2, ddof=4) history = dummy_data( num_days=10, num_categories=num_categ, min_val=100, max_val=1000) new_day = dummy_data( num_days=1, num_categories=num_categ, min_val=100, max_val=1000) clf.fit(history) prediction = clf.predict(new_day) assert len(prediction) == num_categ for x in prediction.values: assert x in [-1, 0, 1]

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null

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null

0

5

a21dd0d8bc4b1b0fe135e67bcc90b5ab6cd08b60

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py

Python

auxein/playgrounds/__init__.py

auxein/auxein

5388cb572b65aecc282f915515c35dc3b987154c

[ "Apache-2.0" ]

1

2019-05-08T14:53:27.000Z

auxein/playgrounds/__init__.py

auxein/auxein

5388cb572b65aecc282f915515c35dc3b987154c

[ "Apache-2.0" ]

2

2020-08-26T09:16:47.000Z

2020-10-30T16:47:03.000Z

auxein/playgrounds/__init__.py

auxein/auxein

5388cb572b65aecc282f915515c35dc3b987154c

[ "Apache-2.0" ]

null

# flake8: noqa from .static import Static

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5

bf7b7bc081f4e280f54e5821baf51d6a66337a0f

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py

Python

multinet/api/apps.py

multinet-app/multinet-api

a658d787f0fb9ba415ed85a1e37c29953486287f

[ "Apache-2.0" ]

null

multinet/api/apps.py

multinet-app/multinet-api

a658d787f0fb9ba415ed85a1e37c29953486287f

[ "Apache-2.0" ]

91

2021-03-15T19:00:15.000Z

2022-03-11T00:04:05.000Z

multinet/api/apps.py

multinet-app/multinet-api

a658d787f0fb9ba415ed85a1e37c29953486287f

[ "Apache-2.0" ]

1

2022-02-05T15:53:04.000Z

from django.apps import AppConfig class ApiConfig(AppConfig): name = 'multinet.api' verbose_name = 'Multinet: Api'

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5

bf827082930cc4111c1b1c1e6a2b7c2da91efcc7

163

py

Python

src/components/kankeiforms/coloring_types.py

BigJerBD/Kankei-Backend

22e512405dff98c9b517d483ac7ddd168c459999

[ "MIT" ]

null

src/components/kankeiforms/coloring_types.py

BigJerBD/Kankei-Backend

22e512405dff98c9b517d483ac7ddd168c459999

[ "MIT" ]

null

src/components/kankeiforms/coloring_types.py

BigJerBD/Kankei-Backend

22e512405dff98c9b517d483ac7ddd168c459999

[ "MIT" ]

null

from components.kankeiforms.shown_properties import DEFAULT_SHOWN_PROPERTIES DEFAULT_COLORING_TYPES = [name for name, scope in DEFAULT_SHOWN_PROPERTIES["nodes"]]

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44d0efb3370e4a3db3fe8111f06c88c97585da6e

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py

Python

multilingual_t5/r_bn_en/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/r_bn_en/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/r_bn_en/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

"""r_bn_en dataset.""" from .r_bn_en import RBnEn

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5

780899a07d386c70a8b84374cbbae405d5d3bb8f

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py

Python

source/campo/op_fieldagents/__init__.py

computationalgeography/campo

0983270577913813cc3de1155f01cf97e59c27c6

[ "MIT" ]

2

2021-06-20T12:58:19.000Z

2021-06-20T12:58:32.000Z

source/campo/op_fieldagents/__init__.py

Shellydun/campo

0d1c51bb5cbc76e99c2854332a645d6ed53dacb3

[ "MIT" ]

null

source/campo/op_fieldagents/__init__.py

Shellydun/campo

0d1c51bb5cbc76e99c2854332a645d6ed53dacb3

[ "MIT" ]

5

2020-12-15T09:16:26.000Z

2021-01-13T23:39:06.000Z

from .operators import * from .operations import *

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782fa13dbe92ff67b8582ca14edb125f9d22277e

20,482

py

Python

tests/test_global_torque_driven_with_contact_ocp.py

Steakkk/bioptim-1

ccced00a581d9bf469631cc8a186c055f2e567e1

[ "MIT" ]

null

tests/test_global_torque_driven_with_contact_ocp.py

Steakkk/bioptim-1

ccced00a581d9bf469631cc8a186c055f2e567e1

[ "MIT" ]

null

tests/test_global_torque_driven_with_contact_ocp.py

Steakkk/bioptim-1

ccced00a581d9bf469631cc8a186c055f2e567e1

[ "MIT" ]

null

""" Test for file IO. It tests the results of an optimal control problem with torque_driven_with_contact problem type regarding the proper functioning of : - the maximize/minimize_predicted_height_CoM objective - the contact_forces_inequality constraint - the non_slipping constraint """ import importlib.util from pathlib import Path import pytest import numpy as np from bioptim import Data, OdeSolver from .utils import TestUtils @pytest.mark.parametrize("ode_solver", [OdeSolver.RK, OdeSolver.IRK]) def test_maximize_predicted_height_CoM(ode_solver): PROJECT_FOLDER = Path(__file__).parent / ".." spec = importlib.util.spec_from_file_location( "maximize_predicted_height_CoM", str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/maximize_predicted_height_CoM.py", ) maximize_predicted_height_CoM = importlib.util.module_from_spec(spec) spec.loader.exec_module(maximize_predicted_height_CoM) ocp = maximize_predicted_height_CoM.prepare_ocp( model_path=str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/2segments_4dof_2contacts.bioMod", phase_time=0.5, number_shooting_points=20, use_actuators=False, ode_solver=ode_solver, ) sol = ocp.solve() # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.7592028279017864) # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (160, 1)) np.testing.assert_almost_equal(g, np.zeros((160, 1))) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.5, 0.5))) np.testing.assert_almost_equal(q[:, -1], np.array((0.1189651, -0.0904378, -0.7999996, 0.7999996))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal(qdot[:, -1], np.array((1.2636414, -1.3010929, -3.6274687, 3.6274687))) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-22.1218282))) np.testing.assert_almost_equal(tau[:, -1], np.array(0.2653957)) # save and load TestUtils.save_and_load(sol, ocp, False) @pytest.mark.parametrize("ode_solver", [OdeSolver.RK, OdeSolver.IRK]) def test_maximize_predicted_height_CoM_with_actuators(ode_solver): PROJECT_FOLDER = Path(__file__).parent / ".." spec = importlib.util.spec_from_file_location( "maximize_predicted_height_CoM", str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/maximize_predicted_height_CoM.py", ) maximize_predicted_height_CoM = importlib.util.module_from_spec(spec) spec.loader.exec_module(maximize_predicted_height_CoM) ocp = maximize_predicted_height_CoM.prepare_ocp( model_path=str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/2segments_4dof_2contacts.bioMod", phase_time=0.5, number_shooting_points=20, use_actuators=True, ode_solver=ode_solver, ) sol = ocp.solve() # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.21850679397314332) # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (160, 1)) np.testing.assert_almost_equal(g, np.zeros((160, 1)), decimal=6) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] if ode_solver == OdeSolver.IRK: # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.5, 0.5))) np.testing.assert_almost_equal(q[:, -1], np.array((-0.2393758, 0.0612086, -0.0006739, 0.0006739))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal( qdot[:, -1], np.array((-4.87675667e-01, 3.28672149e-04, 9.75351556e-01, -9.75351556e-01)) ) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-0.5509092))) np.testing.assert_almost_equal(tau[:, -1], np.array(-0.00506117)) else: # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.5, 0.5))) np.testing.assert_almost_equal(q[:, -1], np.array((-0.2393758, 0.0612086, -0.0006739, 0.0006739))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal( qdot[:, -1], np.array((-4.8768219e-01, 3.2867302e-04, 9.7536459e-01, -9.7536459e-01)) ) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-0.550905))) np.testing.assert_almost_equal(tau[:, -1], np.array(-0.0050623)) # save and load TestUtils.save_and_load(sol, ocp, False) @pytest.mark.parametrize("ode_solver", [OdeSolver.RK, OdeSolver.IRK]) def test_contact_forces_inequality_GREATER_THAN_constraint(ode_solver): PROJECT_FOLDER = Path(__file__).parent / ".." spec = importlib.util.spec_from_file_location( "contact_forces_inequality_constraint", str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/contact_forces_inequality_constraint.py", ) contact_forces_inequality_GREATER_THAN_constraint = importlib.util.module_from_spec(spec) spec.loader.exec_module(contact_forces_inequality_GREATER_THAN_constraint) min_bound = 50 ocp = contact_forces_inequality_GREATER_THAN_constraint.prepare_ocp( model_path=str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/2segments_4dof_2contacts.bioMod", phase_time=0.3, number_shooting_points=10, min_bound=min_bound, max_bound=np.inf, ode_solver=ode_solver, ) sol = ocp.solve() # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.14525621569048172) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] if ode_solver == OdeSolver.IRK: # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (100, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(-g[80:], -min_bound) expected_pos_g = np.array( [ [50.76334043], [51.42154006], [57.79496471], [64.29700748], [67.01987853], [68.32305222], [67.91820667], [65.26711376], [59.57312581], [50.1847888], [160.1560585], [141.16683648], [85.1060599], [56.33412288], [53.32765464], [52.21769321], [51.63001946], [51.2579451], [50.98768816], [50.21989568], ] ) np.testing.assert_almost_equal(g[80:], expected_pos_g) # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.75, 0.75))) np.testing.assert_almost_equal(q[:, -1], np.array((-0.34054772, 0.1341555, -0.00054332, 0.00054332))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal( qdot[:, -1], np.array((-2.01096899e00, 1.09261741e-03, 4.02193851e00, -4.02193851e00)) ) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-54.17110048))) np.testing.assert_almost_equal(tau[:, -1], np.array((-15.69344349))) else: # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (100, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(-g[80:], -min_bound) expected_pos_g = np.array( [ [50.76491919], [51.42493119], [57.79007374], [64.29551934], [67.01905769], [68.3225625], [67.91793917], [65.26700138], [59.57311867], [50.18463134], [160.14834799], [141.15361769], [85.13345729], [56.33535022], [53.32684286], [52.21679255], [51.62923106], [51.25728666], [50.9871531], [50.21972377], ] ) np.testing.assert_almost_equal(g[80:], expected_pos_g) # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.75, 0.75))) np.testing.assert_almost_equal(q[:, -1], np.array((-0.34054748, 0.1341555, -0.0005438, 0.0005438))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal(qdot[:, -1], np.array((-2.01097559, 1.09352001e-03, 4.02195175, -4.02195175))) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-54.1684018))) np.testing.assert_almost_equal(tau[:, -1], np.array((-15.69338332))) # save and load TestUtils.save_and_load(sol, ocp, False) # simulate TestUtils.simulate(sol, ocp) @pytest.mark.parametrize("ode_solver", [OdeSolver.RK, OdeSolver.IRK]) def test_contact_forces_inequality_LESSER_THAN_constraint(ode_solver): PROJECT_FOLDER = Path(__file__).parent / ".." spec = importlib.util.spec_from_file_location( "contact_forces_inequality_constraint", str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/contact_forces_inequality_constraint.py", ) contact_forces_inequality_LESSER_THAN_constraint = importlib.util.module_from_spec(spec) spec.loader.exec_module(contact_forces_inequality_LESSER_THAN_constraint) max_bound = 100 ocp = contact_forces_inequality_LESSER_THAN_constraint.prepare_ocp( model_path=str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/2segments_4dof_2contacts.bioMod", phase_time=0.3, number_shooting_points=10, min_bound=-np.inf, max_bound=max_bound, ode_solver=ode_solver, ) sol = ocp.solve() # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.14525619649247054) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.75, 0.75))) np.testing.assert_almost_equal( q[:, -1], np.array((-3.40655617e-01, 1.34155544e-01, -3.27530886e-04, 3.27530886e-04)) ) if ode_solver == OdeSolver.IRK: # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (100, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(g[80:], max_bound) expected_non_zero_g = np.array( [ [63.27209168], [63.02302254], [62.13840892], [60.38286495], [57.31035211], [52.1969189], [43.95984323], [31.14447074], [12.4527049], [-6.20139005], [99.0646825], [98.87878575], [98.64638238], [98.3478478], [97.94940411], [97.3880652], [96.53094583], [95.03988984], [91.72272481], [77.29740256], ] ) np.testing.assert_almost_equal(g[80:], expected_non_zero_g) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal( qdot[:, -1], np.array((-2.86544932e00, 9.38791617e-04, 5.73089895e00, -5.73089895e00)) ) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-32.78911887))) np.testing.assert_almost_equal(tau[:, -1], np.array((-25.1705709))) else: # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.14525619649247054) # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (100, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(g[80:], max_bound) expected_non_zero_g = np.array( [ [63.27237842], [63.02339946], [62.13898369], [60.38380769], [57.31193141], [52.19952395], [43.9638679], [31.14938032], [12.45022537], [-6.35179034], [99.06328211], [98.87711942], [98.64440005], [98.34550037], [97.94667107], [97.38505013], [96.52820867], [95.03979128], [91.73734926], [77.48803304], ] ) np.testing.assert_almost_equal(g[80:], expected_non_zero_g) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal(qdot[:, -1], np.array((-2.86650427, 9.38827988e-04, 5.73300901, -5.73300901))) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-32.78862874))) np.testing.assert_almost_equal(tau[:, -1], np.array((-25.23729156))) # save and load TestUtils.save_and_load(sol, ocp, False) # simulate TestUtils.simulate(sol, ocp) @pytest.mark.parametrize("ode_solver", [OdeSolver.RK, OdeSolver.IRK]) def test_non_slipping_constraint(ode_solver): PROJECT_FOLDER = Path(__file__).parent / ".." spec = importlib.util.spec_from_file_location( "non_slipping_constraint", str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/non_slipping_constraint.py", ) non_slipping_constraint = importlib.util.module_from_spec(spec) spec.loader.exec_module(non_slipping_constraint) ocp = non_slipping_constraint.prepare_ocp( model_path=str(PROJECT_FOLDER) + "/examples/torque_driven_with_contact/2segments_4dof_2contacts.bioMod", phase_time=0.6, number_shooting_points=10, mu=0.005, ode_solver=ode_solver, ) sol = ocp.solve() # Check objective function value f = np.array(sol["f"]) np.testing.assert_equal(f.shape, (1, 1)) np.testing.assert_almost_equal(f[0, 0], 0.23984490846250128) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] # initial and final position np.testing.assert_almost_equal(q[:, 0], np.array((0.0, 0.0, -0.5, 0.5))) np.testing.assert_almost_equal(q[:, -1], np.array((-0.02364845, 0.01211471, -0.44685185, 0.44685185))) # initial and final velocities np.testing.assert_almost_equal(qdot[:, 0], np.array((0, 0, 0, 0))) np.testing.assert_almost_equal(qdot[:, -1], np.array((-0.08703131, 0.04170362, 0.1930144, -0.1930144))) if ode_solver == OdeSolver.IRK: # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (120, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(-g[80:], 0) expected_pos_g = np.array( [ [8.74337995e01], [8.74671258e01], [8.75687834e01], [8.77422815e01], [8.79913159e01], [8.83197846e01], [8.87318042e01], [8.92317303e01], [8.98241984e01], [9.05145023e01], [4.63475930e01], [4.63130361e01], [4.62075073e01], [4.60271955e01], [4.57680917e01], [4.54259739e01], [4.49963905e01], [4.44746352e01], [4.38556794e01], [4.31334131e01], [1.33775343e00], [6.04899683e-05], [1.33773204e00], [6.95785710e-05], [1.33768173e00], [8.11784388e-05], [1.33759829e00], [9.64764544e-05], [1.33747653e00], [1.17543268e-04], [1.33730923e00], [1.48352207e-04], [1.33708435e00], [1.97600315e-04], [1.33677502e00], [2.88636405e-04], [1.33628619e00], [5.12590351e-04], [1.33466928e00], [1.80987563e-03], ] ) np.testing.assert_almost_equal(g[80:], expected_pos_g) # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-14.33813755)), decimal=6) np.testing.assert_almost_equal(tau[:, -1], np.array((-13.21317493)), decimal=6) else: # Check constraints g = np.array(sol["g"]) np.testing.assert_equal(g.shape, (120, 1)) np.testing.assert_almost_equal(g[:80], np.zeros((80, 1))) np.testing.assert_array_less(-g[80:], 0) expected_pos_g = np.array( [ [8.74337995e01], [8.74671258e01], [8.75687834e01], [8.77422814e01], [8.79913157e01], [8.83197844e01], [8.87318039e01], [8.92317298e01], [8.98241976e01], [9.05145013e01], [4.63475930e01], [4.63130361e01], [4.62075073e01], [4.60271956e01], [4.57680919e01], [4.54259742e01], [4.49963909e01], [4.44746357e01], [4.38556802e01], [4.31334141e01], [1.33775343e00], [6.04899894e-05], [1.33773204e00], [6.95785950e-05], [1.33768173e00], [8.11784641e-05], [1.33759829e00], [9.64764869e-05], [1.33747653e00], [1.17543301e-04], [1.33730923e00], [1.48352248e-04], [1.33708435e00], [1.97600363e-04], [1.33677502e00], [2.88636453e-04], [1.33628619e00], [5.12590377e-04], [1.33466928e00], [1.80987419e-03], ] ) np.testing.assert_almost_equal(g[80:], expected_pos_g) # Check some of the results states, controls = Data.get_data(ocp, sol["x"]) q, qdot, tau = states["q"], states["q_dot"], controls["tau"] # initial and final controls np.testing.assert_almost_equal(tau[:, 0], np.array((-14.33813755))) np.testing.assert_almost_equal(tau[:, -1], np.array((-13.21317493))) # save and load TestUtils.save_and_load(sol, ocp, False) # simulate TestUtils.simulate(sol, ocp)

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7860fd82035f668e6da8de2730ad812211937515

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Python

tests/unit_test/chat/chat_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

9

2020-04-22T12:49:29.000Z

2020-06-13T22:23:20.000Z

tests/unit_test/chat/chat_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

18

2020-04-20T12:39:20.000Z

2020-05-21T05:10:51.000Z

tests/unit_test/chat/chat_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

13

2020-04-21T12:12:40.000Z

2020-05-13T07:27:44.000Z

from unittest.mock import patch from urllib.parse import urlencode, quote_plus from kairon.shared.utils import Utility import pytest import os from mongoengine import connect, ValidationError from kairon.shared.chat.processor import ChatDataProcessor from re import escape import responses class TestChat: @pytest.fixture(autouse=True, scope='class') def setup(self): os.environ["system_file"] = "./tests/testing_data/system.yaml" Utility.load_environment() db_url = Utility.environment['database']["url"] pytest.db_url = db_url connect(**Utility.mongoengine_connection(Utility.environment['database']["url"])) def test_save_channel_config_invalid(self): with pytest.raises(ValidationError, match="Invalid channel type custom"): ChatDataProcessor.save_channel_config({"connector_type": "custom", "config": { "bot_user_oAuth_token": "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K", "slack_signing_secret": "79f036b9894eef17c064213b90d1042b"}}, "test", "test") with pytest.raises(ValidationError, match=escape("Missing ['bot_user_oAuth_token', 'slack_signing_secret'] all or any in config")): ChatDataProcessor.save_channel_config({"connector_type": "slack", "config": { "slack_signing_secret": "79f036b9894eef17c064213b90d1042b"}}, "test", "test") with pytest.raises(ValidationError, match=escape("Missing ['bot_user_oAuth_token', 'slack_signing_secret'] all or any in config")): ChatDataProcessor.save_channel_config({"connector_type": "slack", "config": { "bot_user_oAuth_token": "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K", }}, "test", "test") def test_save_channel_config(self): ChatDataProcessor.save_channel_config({"connector_type": "slack", "config": { "bot_user_oAuth_token": "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K", "slack_signing_secret": "79f036b9894eef17c064213b90d1042b"}}, "test", "test") def test_update_channel_config(self): ChatDataProcessor.save_channel_config({"connector_type": "slack", "config": { "bot_user_oAuth_token": "Test-801478018484-v3zq6MYNu62oSs8vammWOY8K", "slack_signing_secret": "79f036b9894eef17c064213b90d1042b"}}, "test", "test") slack = ChatDataProcessor.get_channel_config("slack", "test", mask_characters=False) assert slack.get("connector_type") == "slack" assert str(slack["config"].get("bot_user_oAuth_token")).startswith("Test") assert not str(slack["config"].get("slack_signing_secret")).__contains__("***") def test_list_channel_config(self): channels = list(ChatDataProcessor.list_channel_config("test")) slack = channels[0] assert channels.__len__() == 1 assert slack.get("connector_type") == "slack" assert str(slack["config"].get("bot_user_oAuth_token")).__contains__("***") assert str(slack["config"].get("slack_signing_secret")).__contains__("***") channels = list(ChatDataProcessor.list_channel_config("test", mask_characters=False)) slack = channels[0] assert channels.__len__() == 1 assert slack.get("connector_type") == "slack" assert not str(slack["config"].get("bot_user_oAuth_token")).__contains__("***") assert not str(slack["config"].get("slack_signing_secret")).__contains__("***") def test_get_channel_config_slack(self): slack = ChatDataProcessor.get_channel_config("slack", "test") assert slack.get("connector_type") == "slack" assert str(slack["config"].get("bot_user_oAuth_token")).__contains__("***") assert str(slack["config"].get("slack_signing_secret")).__contains__("***") slack = ChatDataProcessor.get_channel_config("slack", "test", mask_characters=False) assert slack.get("connector_type") == "slack" assert not str(slack["config"].get("bot_user_oAuth_token")).__contains__("***") assert not str(slack["config"].get("slack_signing_secret")).__contains__("***") def test_delete_channel_config_slack(self): ChatDataProcessor.delete_channel_config("slack", "test") assert list(ChatDataProcessor.list_channel_config("test")).__len__() == 0 @responses.activate def test_save_channel_config_telegram(self): access_token = "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K" webhook = urlencode({'url': "https://test@test.com/api/bot/telegram/tests/test"}, quote_via=quote_plus) responses.add("GET", json={'result': True}, url=f"{Utility.system_metadata['channels']['telegram']['api']['url']}/bot{access_token}/setWebhook?{webhook}") def __mock_endpoint(*args): return f"https://test@test.com/api/bot/telegram/tests/test" with patch('kairon.shared.data.utils.DataUtility.get_channel_endpoint', __mock_endpoint): ChatDataProcessor.save_channel_config({"connector_type": "telegram", "config": { "access_token": access_token, "webhook_url": webhook, "username_for_bot": "test"}}, "test", "test") @responses.activate def test_save_channel_config_telegram_invalid(self): access_token = "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K" webhook = {'url': "https://test@test.com/api/bot/telegram/tests/test"} webhook = urlencode(webhook, quote_via=quote_plus) responses.add("GET", json={'result': False, 'error_code': 400, 'description': "Invalid Webhook!"}, url=f"{Utility.system_metadata['channels']['telegram']['api']['url']}/bot{access_token}/setWebhook?{webhook}") with pytest.raises(ValidationError, match="Invalid Webhook!"): def __mock_endpoint(*args): return f"https://test@test.com/api/bot/telegram/tests/test" with patch('kairon.shared.data.utils.DataUtility.get_channel_endpoint', __mock_endpoint): ChatDataProcessor.save_channel_config({"connector_type": "telegram", "config": { "access_token": access_token, "webhook_url": webhook, "username_for_bot": "test"}}, "test", "test")

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null

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7863678b73305e2f98c218916ee3293d09ad3ea8

135

py

Python

ree/core/__init__.py

blackleg/reescrapper

d41b8ba1b4e6750539a13b3e18eff84c1407ad0c

[ "MIT" ]

null

ree/core/__init__.py

blackleg/reescrapper

d41b8ba1b4e6750539a13b3e18eff84c1407ad0c

[ "MIT" ]

null

ree/core/__init__.py

blackleg/reescrapper

d41b8ba1b4e6750539a13b3e18eff84c1407ad0c

[ "MIT" ]

null

from .scraper import Scraper from .exceptions import ResponseCodeException, ResponseDataException, NoDataException, TimestampException

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135

10.818182

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5

788e961f0efa463a25318e0ef7b0481d4e392359

121

py

Python

build/lib/annotation_utils/old/converter/__init__.py

HienDT27/annotation_utils

1f4e95f4cfa08de5bbab20f90a6a75fba66a69b9

[ "MIT" ]

13

2020-01-28T04:45:22.000Z

2022-03-10T03:35:49.000Z

build/lib/annotation_utils/old/converter/__init__.py

HienDT27/annotation_utils

1f4e95f4cfa08de5bbab20f90a6a75fba66a69b9

[ "MIT" ]

4

2020-02-14T08:56:03.000Z

2021-05-21T10:38:30.000Z

build/lib/annotation_utils/old/converter/__init__.py

HienDT27/annotation_utils

1f4e95f4cfa08de5bbab20f90a6a75fba66a69b9

[ "MIT" ]

7

2020-04-10T07:56:25.000Z

2021-12-17T11:19:23.000Z

from .labelimg_labelme_converter import LabelImgLabelMeConverter from .labelme_coco_converter import LabelMeCOCOConverter

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null

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789ea8f0f78398fa283d5a19d603440735cfb8cf

147

py

Python

marueditor_debug.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

null

marueditor_debug.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

5

2021-01-21T09:46:12.000Z

2022-02-14T13:54:44.000Z

marueditor_debug.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

2

2021-11-02T11:01:53.000Z

2022-02-14T10:11:21.000Z

#! /usr/bin/python3 import subprocess import time import sys import os subprocess.Popen(["./marueditor.py","--debug"]) while 1: time.sleep(1)

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5

78b6f397569551bd5f393c57e7d7a1e446988a0b

41

py

Python

canopy/io/adat/errors.py

SomaLogic/Canopy

535111c40995731e941da8cbf484c2aa9cb9b444

[ "MIT" ]

7

2020-10-30T17:41:16.000Z

2022-03-30T06:18:26.000Z

canopy/io/adat/errors.py

SomaLogic/Canopy

535111c40995731e941da8cbf484c2aa9cb9b444

[ "MIT" ]

1

2020-10-29T12:29:55.000Z

2020-12-17T17:49:18.000Z

canopy/io/errors.py

SomaLogic/Canopy

535111c40995731e941da8cbf484c2aa9cb9b444

[ "MIT" ]

1

2021-05-10T21:01:56.000Z

class AdatReadError(Exception): pass

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null

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5

15220e52c59bb6809d458e2e0bbaa34f129bbc5b

105

py

Python

src/backend/apps/media/__init__.py

Vixx-X/ati-project

0ef80772a6fc3807e401cf58b9e15f3628373383

[ "MIT" ]

null

src/backend/apps/media/__init__.py

Vixx-X/ati-project

0ef80772a6fc3807e401cf58b9e15f3628373383

[ "MIT" ]

61

2021-06-10T03:27:06.000Z

2022-03-12T01:01:34.000Z

src/backend/apps/media/__init__.py

Vixx-X/ati-project

0ef80772a6fc3807e401cf58b9e15f3628373383

[ "MIT" ]

null

""" Media module """ from flask import Blueprint bp = Blueprint("media", __name__) from . import urls

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null

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5

158d1e38aff734f970a68fc00fb7d1d94c13062f

30

py

Python

sshpipe/sshpipe/lib/subprocess/__init__.py

Acrisel/sshpipe

b809b151588b315720dd9c4b623592c02e041457

[ "BSD-3-Clause" ]

null

sshpipe/sshpipe/lib/subprocess/__init__.py

Acrisel/sshpipe

b809b151588b315720dd9c4b623592c02e041457

[ "BSD-3-Clause" ]

null

sshpipe/sshpipe/lib/subprocess/__init__.py

Acrisel/sshpipe

b809b151588b315720dd9c4b623592c02e041457

[ "BSD-3-Clause" ]

null

from .sshsubprocess import run

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5

15aabecb63e38363a5749b726c2cf24c3c89c8f0

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py

Python

tests/masks/test_mask.py

j-h-m/Media-Journaling-Tool

4ab6961e2768dc002c9bbad182f83188631f01bd

[ "BSD-3-Clause" ]

null

tests/masks/test_mask.py

j-h-m/Media-Journaling-Tool

4ab6961e2768dc002c9bbad182f83188631f01bd

[ "BSD-3-Clause" ]

null

tests/masks/test_mask.py

j-h-m/Media-Journaling-Tool

4ab6961e2768dc002c9bbad182f83188631f01bd

[ "BSD-3-Clause" ]

null

import unittest from tests.test_support import TestSupport from mock import Mock from maskgen.masks.donor_rules import VideoDonor, AudioDonor, AllStreamDonor, AllAudioStreamDonor, \ VideoDonorWithoutAudio, InterpolateDonor,AudioZipDonor from maskgen.video_tools import get_type_of_segment, get_start_time_from_segment, get_start_frame_from_segment, \ get_end_time_from_segment, get_end_frame_from_segment class TestDonorRules(TestSupport): def test_video_donor(self): graph = Mock() def lkup_preds(x): return {'b':['a'],'e':['d']}[x] def lkup_edge(x,y): return {'ab':{'op':'NoSelect'},'de':{'op':'SelectSomething','arguments': {'Start Time': 20, 'End Time':100}}}[x + y] graph.predecessors = lkup_preds graph.get_edge = lkup_edge graph.dir = '.' donor = VideoDonor(graph, 'e','f', 'x',(None,self.locateFile('tests/videos/sample1.mov')), (None,self.locateFile('tests/videos/sample1.mov'))) args = donor.arguments() self.assertEqual(20, args['Start Time']['defaultvalue']) self.assertEqual(100, args['End Time']['defaultvalue']) segments = donor.create(arguments={'include audio':'yes','Start Time':30,'End Time':150}) for segment in segments: if get_type_of_segment(segment) == 'audio': self.assertEqual(115542,get_start_frame_from_segment(segment)) self.assertEqual(509061, get_end_frame_from_segment(segment)) else: self.assertEqual(30, get_start_frame_from_segment(segment)) self.assertEqual(150, get_end_frame_from_segment(segment)) self.assertEqual(2620.0, get_start_time_from_segment(segment)) self.assertEqual(11543, int(get_end_time_from_segment(segment))) donor = VideoDonor(graph, 'b','c','x', (None,self.locateFile('tests/videos/sample1.mov')), (None,self.locateFile('tests/videos/sample1.mov'))) args = donor.arguments() self.assertEqual(1, args['Start Time']['defaultvalue']) self.assertEqual(0, args['End Time']['defaultvalue']) segments = donor.create(arguments={'include audio':'yes','Start Time':30,'End Time':150}) for segment in segments: if get_type_of_segment(segment) == 'audio': self.assertEqual(115542,get_start_frame_from_segment(segment)) self.assertEqual(509061, get_end_frame_from_segment(segment)) else: self.assertEqual(30, get_start_frame_from_segment(segment)) self.assertEqual(150, get_end_frame_from_segment(segment)) self.assertEqual(2620.0, get_start_time_from_segment(segment)) self.assertEqual(11543, int(get_end_time_from_segment(segment))) segments = donor.create(arguments={'include audio': 'no', 'Start Time': 30, 'End Time': 150}) self.assertEqual(0,len([segment for segment in segments if get_type_of_segment(segment) == 'audio'])) donor = VideoDonorWithoutAudio(graph, 'b','c', 'x', (None,self.locateFile('tests/videos/sample1.mov')), (None,self.locateFile('tests/videos/sample1.mov'))) self.assertTrue('include audio' not in donor.arguments()) def test_audio_donor(self): graph = Mock() def lkup_preds(x): return {'b': ['a'], 'e': ['d']}[x] def lkup_edge(x, y): return \ {'ab': {'op': 'NoSelect'}, 'ef': {'op': 'SelectSomething', 'arguments': {'Start Time': "00:00:00.000000"}}}[ x + y] graph.predecessors = lkup_preds graph.get_edge = lkup_edge graph.dir = '.' donor = AudioDonor(graph, 'e', 'f', 'x', (None, self.locateFile('tests/videos/sample1.mov')), (None, self.locateFile('tests/videos/sample1.mov'))) args = donor.arguments() self.assertEqual("00:00:00.000000", args['Start Time']['defaultvalue']) self.assertEqual("00:00:00.000000", args['End Time']['defaultvalue']) segments = donor.create(arguments={'Start Time': "00:00:01.11", 'End Time': "00:00:01.32"}) for segment in segments: self.assertEqual(48951, get_start_frame_from_segment(segment)) self.assertEqual(58212, get_end_frame_from_segment(segment)) self.assertAlmostEqual(1109.97, get_start_time_from_segment(segment),places=1) self.assertEqual(1320.0, int(get_end_time_from_segment(segment))) donor = AllStreamDonor(graph, 'e', 'f', 'y', (None, self.locateFile('tests/videos/sample1.mov')), (None, self.locateFile('tests/videos/sample1.mov'))) args = donor.arguments() self.assertEqual(0,len(args)) segments = donor.create(arguments={}) types = set() for segment in segments: types.add(get_type_of_segment(segment)) if get_type_of_segment(segment) == 'audio': self.assertEqual(1, get_start_frame_from_segment(segment)) self.assertEqual(2617262, get_end_frame_from_segment(segment)) self.assertAlmostEqual(0, get_start_time_from_segment(segment), places=1) self.assertAlmostEqual(59348, int(get_end_time_from_segment(segment))) else: self.assertEqual(1, get_start_frame_from_segment(segment)) self.assertEqual(803, get_end_frame_from_segment(segment)) self.assertAlmostEqual(0, get_start_time_from_segment(segment), places=1) self.assertAlmostEqual(59348, int(get_end_time_from_segment(segment))) self.assertEqual(2,len(types)) donor = AllAudioStreamDonor(graph, 'e', 'f', 'y', (None, self.locateFile('tests/videos/sample1.mov')), (None, self.locateFile('tests/videos/sample1.mov'))) self.assertEqual(0, len(donor.arguments())) self.assertEqual(['audio'],donor.media_types()) def test_audio_zip_donor(self): graph = Mock() def lkup_preds(x): return {'b': ['a'], 'e': ['d']}[x] def lkup_edge(x, y): return \ {'ab': {'op': 'NoSelect'}, 'ef': {'op': 'SelectSomething', 'arguments': {'Start Time': "00:00:00.000000"}}}[ x + y] graph.predecessors = lkup_preds graph.get_edge = lkup_edge graph.dir = '.' donor = AudioZipDonor(graph, 'e', 'f', 'x', (None, self.locateFile('tests/zips/test.wav.zip')), (None, self.locateFile('tests/videos/sample1.mov'))) args = donor.arguments() self.assertEqual("00:00:00.000000", args['Start Time']['defaultvalue']) segments = donor.create(arguments={'Start Time': "00:00:09.11", 'End Time': "00:00:16.32", 'sample rate':44100}) for segment in segments: self.assertEqual(401752, get_start_frame_from_segment(segment)) self.assertEqual(719713, get_end_frame_from_segment(segment)) self.assertAlmostEqual(9110, get_start_time_from_segment(segment),places=1) self.assertEqual(16320.0, int(get_end_time_from_segment(segment))) segments = donor.create( arguments={'Start Time': "00:00:00.00", 'End Time': "00:00:00.00", 'sample rate': 44100}) for segment in segments: self.assertEqual(1, get_start_frame_from_segment(segment)) self.assertEqual(1572865, get_end_frame_from_segment(segment)) self.assertAlmostEqual(0.0, get_start_time_from_segment(segment),places=1) self.assertEqual(35665, int(get_end_time_from_segment(segment))) def test_image_donor(self): import numpy as np from maskgen.image_wrap import ImageWrapper graph = Mock() def lkup_preds(x): return {'b': ['a'], 'e': ['d']}[x] def lkup_edge(x, y): return \ {'ab': {'op': 'NoSelect'}, 'de': {'op': 'SelectRegion'}}[ x + y] withoutalpha = ImageWrapper(np.zeros((400, 400, 3), dtype=np.uint8)) withAlpha = ImageWrapper(np.zeros((400, 400, 4), dtype=np.uint8)) mask = ImageWrapper(np.ones((400, 400),dtype = np.uint8)*255) mask.image_array[0:30, 0:30] = 0 withAlpha.image_array[0:30, 0:30, 3] = 255 graph.predecessors = lkup_preds graph.get_edge = lkup_edge graph.dir = '.' graph.get_edge_image = Mock(return_value=mask) donor = InterpolateDonor(graph, 'e', 'f', 'x', (withoutalpha, self.locateFile('tests/videos/sample1.mov')), (withAlpha, self.locateFile('tests/videos/sample1.mov'))) mask = donor.create(arguments={}) self.assertTrue(np.all(mask.image_array[0:30,0:30] == 255)) self.assertEquals(900,np.sum((mask.image_array/255))) donor = InterpolateDonor(graph, 'b', 'c', 'x', (withoutalpha, self.locateFile('tests/videos/sample1.mov')), (withAlpha, self.locateFile('tests/videos/sample1.mov'))) mask = donor.create(arguments={}) self.assertIsNone(mask) donor = InterpolateDonor(graph, 'b', 'c', 'x', (withAlpha, self.locateFile('tests/videos/sample1.mov')), (withAlpha, self.locateFile('tests/videos/sample1.mov'))) mask = donor.create(arguments={}) self.assertTrue(np.all(mask.image_array[0:30, 0:30] == 0)) self.assertEquals(159100, np.sum((mask.image_array / 255))) if __name__ == '__main__': unittest.main()

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ec73e8f2569f2b6cc0f4ef640bba6d5d853f67c5

145

py

Python

solutions/python3/633.py

sm2774us/amazon_interview_prep_2021

f580080e4a6b712b0b295bb429bf676eb15668de

[ "MIT" ]

42

2020-08-02T07:03:49.000Z

2022-03-26T07:50:15.000Z

solutions/python3/633.py

ajayv13/leetcode

de02576a9503be6054816b7444ccadcc0c31c59d

[ "MIT" ]

null

solutions/python3/633.py

ajayv13/leetcode

de02576a9503be6054816b7444ccadcc0c31c59d

[ "MIT" ]

40

2020-02-08T02:50:24.000Z

2022-03-26T15:38:10.000Z

class Solution: def judgeSquareSum(self, c: int) -> bool: return not all(((c - i ** 2) ** 0.5) % 1 for i in range(int(c ** 0.5) + 1))

48.333333

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0

null

0

1

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1

0

5

ec962876e5ee48784153c61aedf3eb4f240d108c

615

py

Python

test/py/test4.py

mischareitsma/json2dataclass

e935b22fb9a10bda423bf2271dda9b76e975d9cf

[ "MIT" ]

null

test/py/test4.py

mischareitsma/json2dataclass

e935b22fb9a10bda423bf2271dda9b76e975d9cf

[ "MIT" ]

null

test/py/test4.py

mischareitsma/json2dataclass

e935b22fb9a10bda423bf2271dda9b76e975d9cf

[ "MIT" ]

null

from dataclasses import dataclass from typing import Union @dataclass class root: """root dataclass""" layerOne: object @dataclass class root_layerOne: """root_layerOne dataclass""" layerTwo: object @dataclass class root_layerOne_layerTwo: """root_layerOne_layerTwo dataclass""" layerThree: list[object] @dataclass class root_layerOne_layerTwo_layerThree: """root_layerOne_layerTwo_layerThree dataclass""" layerFour: object @dataclass class root_layerOne_layerTwo_layerThree_layerFour: """root_layerOne_layerTwo_layerThree_layerFour dataclass""" _finally: str

16.184211

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0.15935

615

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eca6ba6de344fc69323c5191d38a3c23924883e5

42

py

Python

Interface/__init__.py

thuurzz/ping-python-google

e1585b57a8e2d275a201143388da1f7c9069a0f5

[ "MIT" ]

null

Interface/__init__.py

thuurzz/ping-python-google

e1585b57a8e2d275a201143388da1f7c9069a0f5

[ "MIT" ]

null

Interface/__init__.py

thuurzz/ping-python-google

e1585b57a8e2d275a201143388da1f7c9069a0f5

[ "MIT" ]

1

2021-03-06T03:42:25.000Z

# Pensar em inteface # Projetar interface

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01a686c1180b8c25a68665c374576ed3735b147f

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py

Python

data/__init__.py

LeileiCao/SFD_Pytorch

384b0cd42485946371812f4905e4c9fd3c5d4e65

[ "MIT" ]

1

2020-05-03T02:46:42.000Z

data/__init__.py

LeileiCao/SFD_Pytorch

384b0cd42485946371812f4905e4c9fd3c5d4e65

[ "MIT" ]

1

2019-03-30T04:04:39.000Z

data/__init__.py

LeileiCao/SFD_Pytorch

384b0cd42485946371812f4905e4c9fd3c5d4e65

[ "MIT" ]

3

2019-02-22T07:00:53.000Z

2021-01-13T10:19:59.000Z

from .wider_face import detection_collate, FACE_CLASSES, FACEDetection, FACEAnnotationTransform from .data_augment import * from .config import *

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bf01f21b03e680b92d738afe6364c526a2457454

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py

Python

test/test_grocy.py

cerebrate/pygrocy

23776de9ba18484b35404f7029f8d80e9192b2de

[ "MIT" ]

1

2021-04-27T19:05:09.000Z

test/test_grocy.py

cerebrate/pygrocy

23776de9ba18484b35404f7029f8d80e9192b2de

[ "MIT" ]

null

test/test_grocy.py

cerebrate/pygrocy

23776de9ba18484b35404f7029f8d80e9192b2de

[ "MIT" ]

null

from unittest import TestCase from unittest.mock import patch, mock_open from datetime import datetime import responses from pygrocy import Grocy from pygrocy.grocy import Product from pygrocy.grocy import Group from pygrocy.grocy import ShoppingListProduct from pygrocy.grocy_api_client import CurrentStockResponse, GrocyApiClient class TestGrocy(TestCase): def setUp(self): self.grocy = Grocy("https://example.com", "api_key") def test_init(self): assert isinstance(self.grocy, Grocy) @responses.activate def test_get_chores_valid_no_details(self): resp = [ { "chore_id": "1", "last_tracked_time": "2019-11-18 00:00:00", "next_estimated_execution_time": "2019-11-25 00:00:00", "track_date_only": "1" }, { "chore_id": "2", "last_tracked_time": "2019-11-16 00:00:00", "next_estimated_execution_time": "2019-11-23 00:00:00", "track_date_only": "1" }, { "chore_id": "3", "last_tracked_time": "2019-11-10 00:00:00", "next_estimated_execution_time": "2019-12-10 00:00:00", "track_date_only": "1" }, { "chore_id": "4", "last_tracked_time": "2019-11-18 00:00:00", "next_estimated_execution_time": "2019-11-25 00:00:00", "track_date_only": "1", } ] responses.add(responses.GET, "https://example.com:9192/api/chores", json=resp, status=200) chores = self.grocy.chores(get_details=False) assert isinstance(chores, list) assert len(chores) == 4 assert chores[0].chore_id == 1 assert chores[1].chore_id == 2 assert chores[2].chore_id == 3 assert chores[3].chore_id == 4 @responses.activate def test_product_get_details_valid(self): current_stock_response = CurrentStockResponse({ "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02" }) product = Product(current_stock_response) api_client = GrocyApiClient("https://example.com", "api_key") resp = { "product": { "id": 0, "name": "string", "description": "string", "location_id": 0, "qu_id_purchase": 0, "qu_id_stock": 0, "qu_factor_purchase_to_stock": 0, "barcode": "string", "product_group_id": 0, "min_stock_amount": 0, "default_best_before_days": 0, "picture_file_name": "string", "allow_partial_units_in_stock": True, "row_created_timestamp": "2019-05-02T18:30:48.041Z" }, "quantity_unit_purchase": { "id": 0, "name": "string", "name_plural": "string", "description": "string", "row_created_timestamp": "2019-05-02T18:30:48.041Z" }, "quantity_unit_stock": { "id": 0, "name": "string", "name_plural": "string", "description": "string", "row_created_timestamp": "2019-05-02T18:30:48.041Z" }, "last_purchased": "2019-05-02", "last_used": "2019-05-02T18:30:48.041Z", "stock_amount": 0, "stock_amount_opened": 0, "next_best_before_date": "2019-05-02T18:30:48.041Z", "last_price": 0, "location": { "id": 0, "name": "string", "description": "string", "row_created_timestamp": "2019-05-02T18:30:48.041Z" } } responses.add(responses.GET, "https://example.com:9192/api/stock/products/0", json=resp, status=200) product.get_details(api_client) assert product.name == "string" assert product.product_group_id == 0 @responses.activate def test_product_get_details_invalid_no_data(self): current_stock_response = CurrentStockResponse({ "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02" }) product = Product(current_stock_response) api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.GET, "https://example.com:9192/api/stock/products/0", status=200) product.get_details(api_client) assert product.name is None @responses.activate def test_get_stock_valid(self): resp = [ { "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02" } ] responses.add(responses.GET, "https://example.com:9192/api/stock", json=resp, status=200) stock = self.grocy.stock() assert isinstance(stock, list) assert len(stock) == 1 for prod in stock: assert isinstance(prod, Product) @responses.activate def test_get_stock_invalid_no_data(self): responses.add(responses.GET, "https://example.com:9192/api/stock", status=200) assert self.grocy.stock() is None @responses.activate def test_get_stock_invalid_missing_data(self): resp = [ { } ] responses.add(responses.GET, "https://example.com:9192/api/stock", json=resp, status=200) @responses.activate def test_get_shopping_list_valid(self): resp = [ { "id": 1, "product_id": 6, "note": "string", "amount": 2, "row_created_timestamp": "2019-04-17 10:30:00", "shopping_list_id": 1, "done": 0 } ] responses.add(responses.GET, "https://example.com:9192/api/objects/shopping_list", json=resp, status=200) shopping_list = self.grocy.shopping_list() assert isinstance(shopping_list, list) assert len(shopping_list) == 1 for item in shopping_list: assert isinstance(item, ShoppingListProduct) @responses.activate def test_get_shopping_list_invalid_no_data(self): responses.add(responses.GET, "https://example.com:9192/api/objects/shopping_list", status=400) assert self.grocy.shopping_list() is None @responses.activate def test_get_shopping_list_invalid_missing_data(self): resp = [ { } ] responses.add(responses.GET, "https://example.com:9192/api/objects/shopping_list", json=resp, status=200) @responses.activate def test_add_missing_product_to_shopping_list_valid(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/add-missing-products", status=204) assert self.grocy.add_missing_product_to_shopping_list().status_code == 204 @responses.activate def test_add_missing_product_to_shopping_list_error(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/add-missing-products", status=400) assert self.grocy.add_missing_product_to_shopping_list().status_code != 204 @responses.activate def test_add_product_to_shopping_list_valid(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/add-product", status=204) assert self.grocy.add_product_to_shopping_list(1).status_code == 204 @responses.activate def test_add_product_to_shopping_list_error(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/add-product", status=400) assert self.grocy.add_product_to_shopping_list(1).status_code != 204 @responses.activate def test_clear_shopping_list_valid(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/clear", status=204) assert self.grocy.clear_shopping_list().status_code == 204 @responses.activate def test_clear_shopping_list_error(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/clear", status=400) assert self.grocy.clear_shopping_list().status_code != 204 @responses.activate def test_remove_product_in_shopping_list_valid(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/remove-product", status=204) assert self.grocy.remove_product_in_shopping_list(1).status_code == 204 @responses.activate def test_remove_product_in_shopping_list_error(self): responses.add(responses.POST, "https://example.com:9192/api/stock/shoppinglist/remove-product", status=400) assert self.grocy.remove_product_in_shopping_list(1).status_code != 204 @responses.activate def test_get_product_groups_valid(self): resp = [ { "id": 1, "name": "string", "description": "string", "row_created_timestamp": "2019-04-17 10:30:00", } ] responses.add(responses.GET, "https://example.com:9192/api/objects/product_groups", json=resp, status=200) product_groups_list = self.grocy.product_groups() assert isinstance(product_groups_list, list) assert len(product_groups_list) == 1 for item in product_groups_list: assert isinstance(item, Group) @responses.activate def test_get_product_groups_invalid_no_data(self): responses.add(responses.GET, "https://example.com:9192/api/objects/product_groups", status=400) assert self.grocy.product_groups() is None @responses.activate def test_get_product_groups_invalid_missing_data(self): resp = [ { } ] responses.add(responses.GET, "https://example.com:9192/api/objects/product_groups", json=resp, status=200) @responses.activate def test_upload_product_picture_valid(self): with patch("os.path.exists" ) as m_exist: with patch("builtins.open", mock_open()) as m_open: m_exist.return_value = True api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.PUT, "https://example.com:9192/api/files/productpictures/MS5qcGc=", status=204) assert api_client.upload_product_picture(1,"/somepath/pic.jpg").status_code == 204 @responses.activate def test_upload_product_picture_invalid_missing_data(self): with patch("os.path.exists" ) as m_exist: m_exist.return_value = False api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.PUT, "https://example.com:9192/api/files/productpictures/MS5qcGc=", status=204) assert api_client.upload_product_picture(1,"/somepath/pic.jpg") is None @responses.activate def test_upload_product_picture_error(self): with patch("os.path.exists" ) as m_exist: with patch("builtins.open", mock_open()) as m_open: m_exist.return_value = True api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.PUT, "https://example.com:9192/api/files/productpictures/MS5qcGc=", status=400) assert api_client.upload_product_picture(1,"/somepath/pic.jpg").status_code != 204 @responses.activate def test_update_product_pic_valid(self): api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.PUT, "https://example.com:9192/api/objects/products/1", status=204) assert api_client.update_product_pic(1).status_code == 204 @responses.activate def test_update_product_pic_error(self): api_client = GrocyApiClient("https://example.com", "api_key") responses.add(responses.PUT, "https://example.com:9192/api/objects/products/1", status=400) assert api_client.update_product_pic(1).status_code != 204 @responses.activate def test_get_expiring_products_valid(self): resp = { "expiring_products" : [ { "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02", "amount_opened": "0" } ], "expired_products": [], "missing_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) expiring_product = self.grocy.expiring_products() assert isinstance(expiring_product, list) assert len(expiring_product) == 1 for prod in expiring_product: assert isinstance(prod, Product) @responses.activate def test_get_expiring_invalid_no_data(self): resp = { "expiring_products": [], "expired_products": [], "missing_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) assert not self.grocy.expiring_products() @responses.activate def test_get_expiring_invalid_missing_data(self): resp = {} responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) @responses.activate def test_get_expired_products_valid(self): resp = { "expired_products" : [ { "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02", "amount_opened": "0" } ], "expiring_products": [], "missing_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) expired_product = self.grocy.expired_products() assert isinstance(expired_product, list) assert len(expired_product) == 1 for prod in expired_product: assert isinstance(prod, Product) @responses.activate def test_get_expired_invalid_no_data(self): resp = { "expiring_products": [], "expired_products": [], "missing_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) assert not self.grocy.expired_products() @responses.activate def test_get_expired_invalid_missing_data(self): resp = {} responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) @responses.activate def test_get_missing_products_valid(self): resp = { "missing_products" : [ { "product_id": 0, "amount": "0.33", "best_before_date": "2019-05-02", "amount_opened": "0" } ], "expired_products": [], "expiring_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) missing_product = self.grocy.missing_products() assert isinstance(missing_product, list) assert len(missing_product) == 1 for prod in missing_product: assert isinstance(prod, Product) @responses.activate def test_get_missing_invalid_no_data(self): resp = { "expiring_products": [], "expired_products": [], "missing_products": [] } responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) assert not self.grocy.missing_products() @responses.activate def test_get_stock_invalid_missing_data(self): resp = {} responses.add(responses.GET, "https://example.com:9192/api/stock/volatile", json=resp, status=200) @responses.activate def test_get_userfields_valid(self): resp = { "uf1": 0, "uf2": "string" } responses.add(responses.GET, "https://example.com:9192/api/userfields/chores/1", json=resp, status=200) a_chore_uf = self.grocy.get_userfields("chores",1) assert a_chore_uf['uf1'] == 0 @responses.activate def test_get_userfields_invalid_no_data(self): resp = [] responses.add(responses.GET, "https://example.com:9192/api/userfields/chores/1", json=resp ,status=200) assert not self.grocy.get_userfields("chores",1) @responses.activate def test_set_userfields_valid(self): responses.add(responses.PUT, "https://example.com:9192/api/userfields/chores/1", status=204) assert self.grocy.set_userfields("chores",1,"auserfield","value").status_code == 204 @responses.activate def test_set_userfields_error(self): responses.add(responses.PUT, "https://example.com:9192/api/userfields/chores/1", status=400) assert self.grocy.set_userfields("chores",1,"auserfield","value").status_code != 204 @responses.activate def test_get_last_db_changed_valid(self): resp = { "changed_time": "2019-09-18T05:30:58.598Z" } responses.add(responses.GET, "https://example.com:9192/api/system/db-changed-time", json=resp, status=200) timestamp = self.grocy.get_last_db_changed() assert isinstance(timestamp, datetime) @responses.activate def test_get_last_db_changed_invalid_no_data(self): resp = {} responses.add(responses.GET, "https://example.com:9192/api/system/db-changed-time", json=resp ,status=200) assert self.grocy.get_last_db_changed() is None

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bf18788042e7982b6739847878fb72ae36be9e7b

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py

Python

sail_on_client/harness/__init__.py

darpa-sail-on/sail-on-client

1fd7c0ec359469040fd7af0c8e56fe53277d4a27

[ "Apache-2.0" ]

1

2021-04-12T17:20:54.000Z

sail_on_client/harness/__init__.py

darpa-sail-on/sail-on-client

1fd7c0ec359469040fd7af0c8e56fe53277d4a27

[ "Apache-2.0" ]

92

2021-03-08T22:32:15.000Z

2022-03-25T03:53:01.000Z

sail_on_client/harness/__init__.py

darpa-sail-on/sail-on-client

1fd7c0ec359469040fd7af0c8e56fe53277d4a27

[ "Apache-2.0" ]

null

"""Sail On client harness package."""

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bf31af6aa85cf9328a6df9bbd13da399b259de96

168

py

Python

bandits/__init__.py

XiaoMutt/ucbc

f8aeb65dc5a11ecd82fd969d120f3a848d61c064

[ "MIT" ]

null

bandits/__init__.py

XiaoMutt/ucbc

f8aeb65dc5a11ecd82fd969d120f3a848d61c064

[ "MIT" ]

null

bandits/__init__.py

XiaoMutt/ucbc

f8aeb65dc5a11ecd82fd969d120f3a848d61c064

[ "MIT" ]

null

from .basis import Bandit from .bernoulli import BernoulliBandit from .normal import NormalBandit from .bimodal import BimodalBandit from .uniform import UniformBandit

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171cbc6ad2f299ef8863719841fbcbda4f1f23ba

156

py

Python

src/settings/admin.py

oussamabouchikhi/Bigdeals

be759e664e767349b01ae0f6a96d59062c35a6cb

[ "bzip2-1.0.6" ]

2

2020-02-27T23:52:51.000Z

2020-02-28T12:05:46.000Z

src/settings/admin.py

oussamabouchikhi/Bigdeals

be759e664e767349b01ae0f6a96d59062c35a6cb

[ "bzip2-1.0.6" ]

null

src/settings/admin.py

oussamabouchikhi/Bigdeals

be759e664e767349b01ae0f6a96d59062c35a6cb

[ "bzip2-1.0.6" ]

null

from django.contrib import admin # Register your models here. from .models import Brand, Variant admin.site.register(Brand) admin.site.register(Variant)

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py

Python

src/server/db/__init__.py

ralfstefanbender/Studifix2

281c0a89ce56796437fe054068058c0f01a7df02

[ "RSA-MD" ]

null

src/server/db/__init__.py

ralfstefanbender/Studifix2

281c0a89ce56796437fe054068058c0f01a7df02

[ "RSA-MD" ]

null

src/server/db/__init__.py

ralfstefanbender/Studifix2

281c0a89ce56796437fe054068058c0f01a7df02

[ "RSA-MD" ]

null

print("db package (Mapper) wird initialisiert...")

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17634a451f2343fd844845a08de8e9ec0938b504

13,568

py

Python

sutils/slurm_interface/tests/test_resources.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

sutils/slurm_interface/tests/test_resources.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

sutils/slurm_interface/tests/test_resources.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

import unittest from unittest.mock import Mock, patch from .. import resources from .. import api as slurm SINFO_STDOUT_TWO_LINE = "node01 partition 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n" class TestCpuCount(unittest.TestCase): def test_none(self): retval = "" data = slurm.SinfoData(slurm.SinfoResult(retval)) count = {} self.assertEqual(resources.cpu_count(data), count) def test_empty_lines_are_deleted(self): retval = "\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) count = {} self.assertEqual(resources.cpu_count(data), count) def test_single_node(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)" data = slurm.SinfoData(slurm.SinfoResult(retval)) count = {"node01": 4} self.assertEqual(resources.cpu_count(data), count) def test_two_nodes(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)" data = slurm.SinfoData(slurm.SinfoResult(retval)) count = {"node01": 4, "node02": 4} self.assertEqual(resources.cpu_count(data), count) class TestIsCPUCommensurate(unittest.TestCase): def test_5_is_not_commensurate_with_4(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertFalse(resources.is_cpu_commensurate(data, 5)) def test_4_is_commensurate_with_4(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 4)) def test_8_is_commensurate_with_4(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 8)) def test_5_is_not_commensurate_with_4_idle(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertFalse(resources.is_cpu_commensurate(data, 5, status='idle')) def test_4_is_commensurate_with_4_idle(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 4, status='idle')) def test_8_is_commensurate_with_4_idle(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 8, status='idle')) def test_zero_cpus_is_commensurate(self): retval = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 0)) def test_no_idle_is_not_commensurate(self): retval = "node01 partition 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n" data = slurm.SinfoData(slurm.SinfoResult(retval)) self.assertTrue(resources.is_cpu_commensurate(data, 8, status='idle')) class TestFindResources(unittest.TestCase): def test_zero_request_returns_zero(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.find_resources(sinfo_data, 0), (0, 0)) def test_single_cpu_returns_four(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.find_resources(sinfo_data, 1), (4, 1)) def test_four_cpus_returns_four(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.find_resources(sinfo_data, 4), (4, 1)) def test_too_many_cpus_returns_none(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.find_resources(sinfo_data, 10), None) class TestResource(unittest.TestCase): def test_partition_can_be_retrieved(self): res = resources.Resource('partition', 10, 2, None) self.assertEqual(res.partition(), 'partition') def test_cpus_can_be_retrieved(self): res = resources.Resource('partition', 10, 2, None) self.assertEqual(res.cpus(), 10) def test_nodes_can_be_retrieved(self): res = resources.Resource('partition', 10, 2, None) self.assertEqual(res.nodes(), 2) def test_mem_can_be_retrieved(self): res = resources.Resource('partition', 10, 2, 1000) self.assertEqual(res.memory(), 1000) def test_mem_defaults_to_none(self): res = resources.Resource('partition', 10, 2) self.assertEqual(res.memory(), None) def test_mem_per_cpu_defaults_to_none(self): res = resources.Resource('partition', 10, 2) self.assertEqual(res.mem_per_cpu(), None) # def test_zero_init_raises_ValueError(self): # self.assertRaises(ValueError, resources.Resource, []) # self.assertRaises(ValueError, resources.Resource, [0]) # def test_list_of_three(self): # res = resources.Resource([1, 2, 3]) # self.assertEqual(len(res), 3) def test_eq_returns_true_for_copy(self): res1 = resources.Resource('partition', 2, 3, None) res2 = resources.Resource('partition', 2, 3, None) self.assertEqual(res1, res2) def test_eq_returns_false_for_nonequal_nodes(self): res1 = resources.Resource('partition', 1, 3, None) res2 = resources.Resource('partition', 1, 2, None) self.assertNotEqual(res1, res2) def test_eq_returns_false_for_nonequal_cpus(self): res1 = resources.Resource('partition', 1, 3, None) res2 = resources.Resource('partition', 2, 3, None) self.assertNotEqual(res1, res2) def test_eq_returns_false_for_nonequal_partitions(self): res1 = resources.Resource('partition', 1, 3, None) res2 = resources.Resource('partition1', 1, 3, None) self.assertNotEqual(res1, res2) def test_eq_returns_false_for_nonequal_mem(self): res1 = resources.Resource('partition', 1, 3, 1000) res2 = resources.Resource('partition', 1, 3, 500) self.assertNotEqual(res1, res2) def test_eq_returns_false_for_nonequal_mem_per_cpu(self): res1 = resources.Resource('partition', 1, 3, None, 100) res2 = resources.Resource('partition', 1, 3, None, 200) self.assertNotEqual(res1, res2) def test_repr_returns_dict(self): res = resources.Resource('mypartition', 12, 14, 100) self.assertEqual(repr(res), "<Resource object, partition=mypartition, cpus=12, nodes=14, mem=100, mem_per_cpu=None>") def test_repr_has_correct_mem_per_cpu(self): res = resources.Resource('mypartition', 12, 14, None, 200) self.assertEqual(repr(res), "<Resource object, partition=mypartition, cpus=12, nodes=14, mem=None, mem_per_cpu=200>") def test_conversion_to_dict(self): res = resources.Resource('mypartition', 12, 14, 1000) d = { 'partition' : 'mypartition', 'ntasks' : 12, 'nodes' : 14, 'mem' : 1000, 'mem_per_cpu' : None } self.assertEqual(res.to_dict(), d) def test_conversion_to_short_dict(self): res = resources.Resource('mypartition', 12, 14, 1000) d = { 'partition' : 'mypartition', 'ntasks' : 12, 'nodes' : 14 } self.assertEqual(res.to_short_dict(), d) class TestSubsetInternal(unittest.TestCase): def test_empty_and_zero_returns_empty(self): self.assertEqual(resources._subset_internal([], 0), []) def test_empty_and_positive_returns_false(self): self.assertFalse(resources._subset_internal([], 1)) def test_finite_and_zero_returns_empty(self): self.assertEqual(resources._subset_internal([1, 2, 3], 0), []) def test_n_eq_sum_returns_input(self): self.assertEqual(resources._subset_internal([2, 2], 4), [2, 2]) def test_n_smaller_sum_returns_subset(self): self.assertEqual(resources._subset_internal([2, 2, 3, 4], 4), [4]) def test_non_commensurate(self): self.assertEqual(resources._subset_internal([2, 2, 4], 5), [2, 4]) def test_cluster_many(self): self.assertEqual(resources._subset_internal([16, 16, 16, 20, 20, 20], 48), [16, 16 ,16]) def test_cluster_one(self): self.assertEqual(resources._subset_internal([16, 16, 16, 20, 20, 48], 48), [48]) def test_cluster_incommensurate(self): self.assertEqual(sorted(resources._subset_internal([16, 16, 20, 20], 48)), [16, 16, 20]) def test_xeon_cluster_48(self): self.assertEqual(sorted(resources._subset_internal( [16, 16, 16, 16, 16, 16, 16, 16, 16, 20, 20, 20, 20, 20, 20, 20, 24], 48)), [16, 16, 16]) def test_xeon_cluster_24(self): self.assertEqual(sorted(resources._subset_internal( [16, 16, 16, 16, 16, 16, 16, 16, 16, 20, 20, 20, 20, 20, 20, 20], 24)), [16, 16]) def test_big_cluster_48(self): self.assertEqual(sorted(resources._subset_internal( [48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 64, 64, 64, 64, 24], 48)), [48]) def test_big_cluster_64(self): self.assertEqual(sorted(resources._subset_internal( [48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 64, 64, 64, 64, 24], 64)), [64]) def test_big_cluster_200(self): self.assertEqual(sorted(resources._subset_internal( [48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 64, 64, 64, 64, 24], 200)), [24, 48, 64, 64]) class TestGetMaximalResources(unittest.TestCase): def test_returns_single_resource(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.get_maximal_resources(sinfo_data), {'partition': resources.Resource('partition', 8, 2, 16384)}) def test_returns_multiple_resources(self): sout = "node01 partition1 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition2 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n" sinfo_data = slurm.SinfoData(sout) res = {'partition1': resources.Resource('partition1', 4, 1, 8192), 'partition2': resources.Resource('partition2', 4, 1, 8192)} self.assertEqual(resources.get_maximal_resources(sinfo_data), res) def test_returns_no_resource(self): sinfo_data = slurm.SinfoData('') self.assertEqual(resources.get_maximal_resources(sinfo_data), {}) class TestGetMaximalMemory(unittest.TestCase): def test_returns_total_memory(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.get_maximal_memory(sinfo_data), {'partition': 16384}) def test_returns_sum_of_multiple(self): sout = "node01 partition1 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition2 0.00 4/0/0/4 1:4:1 idle 16384 8000 0 (null)\n"\ +"node02 partition2 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n" sinfo_data = slurm.SinfoData(sout) res = {'partition1': 8192, 'partition2': 24576} self.assertEqual(resources.get_maximal_memory(sinfo_data), res) def test_returns_empty_dict_if_empty_input(self): sinfo_data = slurm.SinfoData('') self.assertEqual(resources.get_maximal_memory(sinfo_data), {}) class TestGetMaximalMemPerCpu(unittest.TestCase): def test_returns_single_memory(self): sinfo_data = slurm.SinfoData(SINFO_STDOUT_TWO_LINE) self.assertEqual(resources.get_maximal_mem_per_cpu(sinfo_data), {'partition': 8192}) def test_returns_max_of_multiple(self): sout = "node01 partition1 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n"\ +"node02 partition2 0.00 4/0/0/4 1:4:1 idle 16384 8000 0 (null)\n"\ +"node02 partition2 0.00 4/0/0/4 1:4:1 idle 8192 8000 0 (null)\n" sinfo_data = slurm.SinfoData(sout) res = {'partition1': 8192, 'partition2': 16384} self.assertEqual(resources.get_maximal_mem_per_cpu(sinfo_data), res) def test_returns_empty_dict_if_empty_input(self): sinfo_data = slurm.SinfoData('') self.assertEqual(resources.get_maximal_mem_per_cpu(sinfo_data), {})

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null

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null

0

1

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17735165c2c464ae7106518113b56c1a592e2434

69

py

Python

cyder/tests/all.py

ngokevin/cyder

8bc0e4aea9ec4b7ac9260b083839bbb1174441d3

[ "BSD-3-Clause" ]

1

2016-07-06T13:00:53.000Z

cyder/tests/all.py

ngokevin/cyder

8bc0e4aea9ec4b7ac9260b083839bbb1174441d3

[ "BSD-3-Clause" ]

null

cyder/tests/all.py

ngokevin/cyder

8bc0e4aea9ec4b7ac9260b083839bbb1174441d3

[ "BSD-3-Clause" ]

null

from cyder.cydns.tests.all import * from cyder.cybind.tests import *

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null

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1

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5

179038888d9f16d10914cae9d74bd33f68a8fb09

188

py

Python

inventory/admin.py

brkyavuz/pfna

082300a673a2b884a92bda61ed001943377fc8b1

[ "MIT" ]

null

inventory/admin.py

brkyavuz/pfna

082300a673a2b884a92bda61ed001943377fc8b1

[ "MIT" ]

null

inventory/admin.py

brkyavuz/pfna

082300a673a2b884a92bda61ed001943377fc8b1

[ "MIT" ]

null

from django.contrib import admin from inventory.models import Group, Host, Data # Register your models here. admin.site.register(Host) admin.site.register(Group) admin.site.register(Data)

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bd7945733920a3e90ff3255ec8373e05b6d87c3a

158

py

Python

bin/ominoes/pentominoes-3x20-loop.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/ominoes/pentominoes-3x20-loop.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/ominoes/pentominoes-3x20-loop.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

1

2022-01-02T16:54:14.000Z

#!/usr/bin/env python # $Id$ """2 solutions""" import puzzler from puzzler.puzzles.pentominoes import Pentominoes3x20Loop puzzler.run(Pentominoes3x20Loop)

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5

bda00df42abd5cd82b0e37df557e2e08b492d4c8

7,600

py

Python

pytiff/test/test_write.py

ch-schiffer/pytiff

99f8a7eb6e41e974fab1d49b2979670c8346d0ae

[ "BSD-3-Clause" ]

9

2017-01-04T12:43:42.000Z

2022-03-21T11:38:14.000Z

pytiff/test/test_write.py

ch-schiffer/pytiff

99f8a7eb6e41e974fab1d49b2979670c8346d0ae

[ "BSD-3-Clause" ]

19

2016-06-06T07:49:33.000Z

2020-11-27T13:25:51.000Z

pytiff/test/test_write.py

ch-schiffer/pytiff

99f8a7eb6e41e974fab1d49b2979670c8346d0ae

[ "BSD-3-Clause" ]

19

2017-02-21T12:49:39.000Z

2022-03-21T11:39:21.000Z

from hypothesis import HealthCheck from hypothesis import given, settings from hypothesis.extra import numpy as hnp from pytiff import * import hypothesis.strategies as st import numpy as np import pytest import subprocess import tifffile from skimage.data import coffee def test_write_rgb(tmpdir_factory): img = coffee() filename = str(tmpdir_factory.mktemp("write").join("rgb_img.tif")) with Tiff(filename, "w") as handle: handle.write(img, method="tile") with Tiff(filename) as handle: data = handle[:] assert np.all(img == data[:, :, :3]) with Tiff(filename, "w") as handle: handle.write(img, method="scanline") with Tiff(filename) as handle: data = handle[:] assert np.all(img == data[:, :, :3]) # scanline integer tests @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50))) def test_write_int_scanline(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("int_img.tif")) with Tiff(filename, "w") as handle: handle.write(data, method="scanline") with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img) @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50))) def test_write_int_scanline_set_rows_per_strip(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("int_img.tif")) rows_per_strip = 1 with Tiff(filename, "w") as handle: handle.write(data, method="scanline", rows_per_strip=rows_per_strip) with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img) assert rows_per_strip == handle[0].tags["rows_per_strip"].value @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=20, max_side=20))) def test_write_int_slices_scanline(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("int_img_scanline.tif")) with Tiff(filename, "w") as handle: handle.write(data[:, :], method="scanline") with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data[:,:], img) # tile integer tests @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50))) def test_write_int_tile(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("int_tile_img.tif")) with Tiff(filename, "w") as handle: handle.write(data, method="tile", tile_width=16, tile_length=16) with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img) @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=hnp.floating_dtypes(endianness="="), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50), elements=st.floats(0, 1))) def test_write_float_scanline(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("float_img.tif")) with Tiff(filename, "w") as handle: handle.write(data, method="scanline") with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img) @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=hnp.floating_dtypes(endianness="="), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50), elements=st.floats(0, 1))) def test_write_float_tile(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("float_tile_img.tif")) with Tiff(filename, "w") as handle: handle.write(data, method="tile", tile_length=16, tile_width=16) with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img) @settings(buffer_size=11000000) @given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")), shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50))) def test_append_int_tile(data, tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("append_img.tif")) with Tiff(filename, "w") as handle: handle.write(data, method="tile", tile_width=16, tile_length=16) with Tiff(filename, "a") as handle: handle.write(data, method="tile", tile_width=16, tile_length=16) with Tiff(filename, "r") as handle: assert handle.number_of_pages == 2 with tifffile.TiffFile(filename) as handle: img = handle.asarray() np.testing.assert_array_equal(data, img[0]) np.testing.assert_array_equal(data, img[1]) def test_write_chunk(tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("chunk_img.tif")) filename = "test_chunk.tif" data1 = np.ones((64,64), dtype=np.uint8) * 1 data2 = np.ones((64,64), dtype=np.uint8) * 2 data3 = np.ones((64,64), dtype=np.uint8) * 3 data4 = np.ones((64,64), dtype=np.uint8) * 4 with Tiff(filename, "w") as handle: chunks = [data1, data2, data3, data4] handle.new_page((300, 300), dtype=np.uint8, tile_length=16, tile_width=16) row = 0 col = 0 max_row_end = 0 positions = [] for c in chunks: shape = c.shape row_end, col_end = row + shape[0], col + shape[1] max_row_end = max(max_row_end, row_end) handle[row:row_end, col:col_end] = c # save for reading chunks positions.append([row, row_end, col, col_end]) if col_end >= handle.shape[1]: col = 0 row = max_row_end else: col = col_end handle.save_page() with Tiff(filename) as handle: for pos, chunk in zip(positions, chunks): row, row_end, col, col_end = pos data = handle[row:row_end, col:col_end] assert np.all(data == chunk) with Tiff(filename) as handle: with pytest.raises(ValueError): handle.new_page((50, 50), np.dtype("uint8")) handle[:, :] = np.random.rand(50, 50) handle.save_page() def test_write_chunk_multiple_pages(tmpdir_factory): filename = str(tmpdir_factory.mktemp("write").join("multi_page_chunk_img.tif")) data1 = np.ones((64,64), dtype=np.uint8) * 1 data2 = np.ones((64,64), dtype=np.uint8) * 2 data3 = np.ones((64,64), dtype=np.uint8) * 3 data4 = np.ones((64,64), dtype=np.uint8) * 4 with Tiff(filename, "w")as handle: chunks = [data1, data2, data3, data4] for c in chunks: shape = c.shape handle.new_page(shape, dtype=np.uint8, tile_length=16, tile_width=16) handle[:] = c with Tiff(filename) as handle: for page, chunk in enumerate(chunks): handle.set_page(page) data = handle[:] assert data.shape == chunk.shape assert np.all(data == chunk)

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1,093

7,600

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null

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5

bdba3dfa9bb1c108426b80214f507165a97ee137

189

py

Python

statsmodels/examples/tsa/ex_var_reorder.py

yarikoptic/statsmodels

f990cb1a1ef0c9883c9394444e6f9d027efabec6

[ "BSD-3-Clause" ]

20

2015-01-28T21:52:59.000Z

2022-01-24T01:24:26.000Z

statsmodels/examples/tsa/ex_var_reorder.py

yarikoptic/statsmodels

f990cb1a1ef0c9883c9394444e6f9d027efabec6

[ "BSD-3-Clause" ]

7

2015-11-20T08:33:04.000Z

2020-07-24T19:34:39.000Z

statsmodels/examples/tsa/ex_var_reorder.py

yarikoptic/statsmodels

f990cb1a1ef0c9883c9394444e6f9d027efabec6

[ "BSD-3-Clause" ]

28

2015-04-01T20:02:25.000Z

2021-07-03T00:09:28.000Z

from __future__ import print_function import statsmodels.api as sm from statsmodels.tsa.vector_ar.tests.test_var import TestVARResults test_VAR = TestVARResults() test_VAR.test_reorder()

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null

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bdc15bbc211c9932ec64876c14228566967e24cd

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py

Python

particle/__init__.py

mikolasan/pyroguelike

d51b01a566b5edb39792b59d683b4bf827399ba4

[ "BSD-3-Clause" ]

null

particle/__init__.py

mikolasan/pyroguelike

d51b01a566b5edb39792b59d683b4bf827399ba4

[ "BSD-3-Clause" ]

2

2020-06-17T05:23:02.000Z

2020-06-17T05:29:41.000Z

particle/__init__.py

mikolasan/pyroguelike

d51b01a566b5edb39792b59d683b4bf827399ba4

[ "BSD-3-Clause" ]

1

2020-09-26T17:16:59.000Z

''' https://github.com/Mekire/pygame-particles ''' from .particle import Emitter

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5

bddb6935528249309ca0511ba3dd6b32903ca564

499

py

Python

__init__.py

IBM/alchemy-config

2a60398f3146d34d6e56925fcd08d6437a10e2aa

[ "MIT" ]

null

__init__.py

IBM/alchemy-config

2a60398f3146d34d6e56925fcd08d6437a10e2aa

[ "MIT" ]

null

__init__.py

IBM/alchemy-config

2a60398f3146d34d6e56925fcd08d6437a10e2aa

[ "MIT" ]

null

#*****************************************************************# # (C) Copyright IBM Corporation 2020. # # # # The source code for this program is not published or otherwise # # divested of its trade secrets, irrespective of what has been # # deposited with the U.S. Copyright Office. # #*****************************************************************# from .aconfig import *

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1

0

1

0

5

bdf61d18c79cd2092c6ac8883b40b3c0956bf5e5

583

py

Python

tests/fixtures/abaco.py

SD2E/python-datacatalog

51ab366639505fb6e8a14cd6b446de37080cd20d

[ "CNRI-Python" ]

null

tests/fixtures/abaco.py

SD2E/python-datacatalog

51ab366639505fb6e8a14cd6b446de37080cd20d

[ "CNRI-Python" ]

2

2019-07-25T15:39:04.000Z

2019-10-21T15:31:46.000Z

tests/fixtures/abaco.py

SD2E/python-datacatalog

51ab366639505fb6e8a14cd6b446de37080cd20d

[ "CNRI-Python" ]

1

2019-10-15T14:33:44.000Z

import pytest from datacatalog.identifiers import abaco __all__ = ['nonce_id', 'manager_actor_id', 'actor_id', 'exec_id', 'worker_id'] @pytest.fixture(scope='session') def nonce_id(): return abaco.nonceid.generate() @pytest.fixture(scope='session') def manager_actor_id(): return abaco.actorid.generate() @pytest.fixture(scope='session') def actor_id(): return abaco.actorid.generate() @pytest.fixture(scope='session') def exec_id(): return abaco.execid.generate() @pytest.fixture(scope='session') def worker_id(): return abaco.execid.generate()

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0.720412

75

583

5.386667

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0.160891

0.222772

0.309406

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0.30198

0

0.128645

583

25

47

23.32

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false

0

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null

0

1

0

null

0

1

0

1

0

5

da2776c8fe5c34613a182384767318d941b17dcd

26

py

Python

timm/version.py

chilung/pytorch-image-models

97fa05b22a4fbff7597c50edd45e2a883e3042b6

[ "Apache-2.0" ]

null

timm/version.py

chilung/pytorch-image-models

97fa05b22a4fbff7597c50edd45e2a883e3042b6

[ "Apache-2.0" ]

null

timm/version.py

chilung/pytorch-image-models

97fa05b22a4fbff7597c50edd45e2a883e3042b6

[ "Apache-2.0" ]

null

__version__ = '0.4.13.22'

13

25

0.653846

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26

2.6

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1

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0

1

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false

0

1

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null

0

1

0

1

0

1

0

null

0

5

da7cc6ecac31e77cd1d84c6335f050abc57c5420

96

py

Python

main.py

libojia-aug/compound-calculator

a032684d5bff54897e2bacf939533f7512833098

[ "Apache-2.0" ]

null

main.py

libojia-aug/compound-calculator

a032684d5bff54897e2bacf939533f7512833098

[ "Apache-2.0" ]

null

main.py

libojia-aug/compound-calculator

a032684d5bff54897e2bacf939533f7512833098

[ "Apache-2.0" ]

null

import formula #年利率、借款期数（月）、初始资金（元）、投资总周期（月）、坏账率 print(formula.annualIncome(22,12,10000,12,0))

19.2

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18

96

3.944444

0.833333

0

0.131868

0.052083

96

5

45

19.2

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0.333333

0

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true

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null

0

1

0

1

0

1

0

5

da84e6be9cc003b42b46e699b676e14e270faadb

1,722

py

Python

codeStore/support_fun_resistance.py

pcmagic/stokes_flow

464d512d3739eee77b33d1ebf2f27dae6cfa0423

[ "MIT" ]

1

2018-11-11T05:00:53.000Z

codeStore/support_fun_resistance.py

pcmagic/stokes_flow

464d512d3739eee77b33d1ebf2f27dae6cfa0423

[ "MIT" ]

null

codeStore/support_fun_resistance.py

pcmagic/stokes_flow

464d512d3739eee77b33d1ebf2f27dae6cfa0423

[ "MIT" ]

null

from tqdm.notebook import tqdm as tqdm_notebook import os import glob import pickle import numpy as np # load the resistance matrix form dir, standard version def load_ABC_list(job_dir): t_dir = os.path.join(job_dir, '*.pickle') pickle_names = glob.glob(t_dir) problem_kwarg_list = [] A_list = [] B1_list = [] B2_list = [] C_list = [] for pickle_name in pickle_names: with open(pickle_name, 'rb') as myinput: problem_kwargs, A, B1, B2, C, = pickle.load(myinput)[:5] problem_kwarg_list.append(problem_kwargs) A_list.append(A) B1_list.append(B1) B2_list.append(B2) C_list.append(C) A_list = np.array(A_list) B1_list = np.array(B1_list) B2_list = np.array(B2_list) C_list = np.array(C_list) problem_kwarg_list = np.array(problem_kwarg_list) return problem_kwarg_list, A_list, B1_list, B2_list, C_list # # # # load (u_i^{Ej}, \omega_i^{Ej}) and (u_i^a, \omega_i^a), standard version. # # see the method of base flow for detail # def load_MBF(pickle_name):) # # # load (u_i^{Ej}, \omega_i^{Ej}) and (u_i^a, \omega_i^a) from dir, standard version. # # see the method of base flow for detail # def load_MBF_list(job_dir): # t_dir = os.path.join(job_dir, '*.pickle') # pickle_names = glob.glob(t_dir) # A_list = [] # B1_list = [] # B2_list = [] # C_list = [] # # for pickle_name in pickle_names: # with open(pickle_name, 'rb') as myinput: # problem_kwargs, A, B1, B2, C, = pickle.load(myinput) # problem_kwarg_list.append(problem_kwargs) # A_list.append(A) # B1_list.append(B1) # B2_list.append(B2) # C_list.append(C)

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1,722

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0

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1,722

56

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null

0

1

0

null

0

5

da87509a3c1dcfbc74df473746b45c034c37aba6

146

py

Python

starter_code/api_keys.py

goblebla/Python-APIs

cf6fe29ebd4ba8a802d2ee76794867702b50c44d

[ "ADSL" ]

null

starter_code/api_keys.py

goblebla/Python-APIs

cf6fe29ebd4ba8a802d2ee76794867702b50c44d

[ "ADSL" ]

null

starter_code/api_keys.py

goblebla/Python-APIs

cf6fe29ebd4ba8a802d2ee76794867702b50c44d

[ "ADSL" ]

null

# OpenWeatherMap API Key weather_api_key = "40449008a54beb2007d8de8d8b5d63a4" # Google API Key g_key = "AIzaSyBCyoqX-kprrB-siGC6JWUZ872EGSV5jR8"

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146

7.866667

0.666667

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0

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146

5

53

29.2

0.694656

0.253425

0

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0

1

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false

0

1

0

null

0

1

0

1

0

1

null

0

5

e521980635a12255130de82c89d6e614032ee6e4

166

py

Python

tests/data/aws/securityhub.py

ramonpetgrave64/cartography

031f282f096b9bc3b3dbad52653f25539f8bf76f

[ "Apache-2.0" ]

2,322

2019-03-02T01:07:20.000Z

2022-03-31T20:39:12.000Z

tests/data/aws/securityhub.py

ramonpetgrave64/cartography

031f282f096b9bc3b3dbad52653f25539f8bf76f

[ "Apache-2.0" ]

462

2019-03-07T18:38:11.000Z

2022-03-31T14:55:20.000Z

tests/data/aws/securityhub.py

ramonpetgrave64/cartography

031f282f096b9bc3b3dbad52653f25539f8bf76f

[ "Apache-2.0" ]

246

2019-03-03T02:39:23.000Z

2022-02-24T09:46:38.000Z

GET_HUB = { 'HubArn': 'arn:aws:securityhub:us-east-1:000000000000:hub/default', 'SubscribedAt': '2020-12-03T11:05:17.571Z', 'AutoEnableControls': True, }

27.666667

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0.674699

21

166

5.285714

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0

0.208333

0.13253

166

5

72

33.2

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0

0.686747

0.46988

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null

0

1

0

1

0

1

null

0

5

e524f647f29aadfa2f38cbda19cfcccb47cd95c7

912

py

Python

2018/spacy/def.py

sematext/activate

ea3bc63b5ca26ea9f9dca780dcfd83658aa53a80

[ "Apache-2.0" ]

11

2018-10-24T14:08:29.000Z

2021-04-04T22:04:20.000Z

2018/spacy/def.py

sematext/activate

ea3bc63b5ca26ea9f9dca780dcfd83658aa53a80

[ "Apache-2.0" ]

null

2018/spacy/def.py

sematext/activate

ea3bc63b5ca26ea9f9dca780dcfd83658aa53a80

[ "Apache-2.0" ]

7

2018-11-25T16:46:45.000Z

2021-05-29T22:51:18.000Z

from __future__ import unicode_literals import spacy nlp = spacy.load('en_core_web_sm') print("") print("Doc 10, title: '#bbuzz: Radu Gheorghe JSON Logging with Elasticsearch'") print("-----") doc = nlp(u"#bbuzz: Radu Gheorghe JSON Logging with Elasticsearch") for entity in doc.ents: print(entity.label_, ' | ', entity.text) print("") print("Doc 20:, title: 'How to Run Solr on Docker. And Why. - Rafał Kuć & Radu Gheorghe, Sematext'") print("-----") doc = nlp(u"How to Run Solr on Docker. And Why. - Rafał Kuć & Radu Gheorghe, Sematext") for entity in doc.ents: print(entity.label_, ' | ', entity.text) print("") print("Doc 37:, title: '#bbuzz 2016: Rafał Kuć - Running High Performance And Fault Tolerant Elasticsearch'") print("-----") doc = nlp(u"#bbuzz 2016: Rafał Kuć - Running High Performance And Fault Tolerant Elasticsearch") for entity in doc.ents: print(entity.label_, ' | ', entity.text)

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0

5

e540c99262a92ccd8f2b1fe9e5874be2bd014d55

27

py

Python

hcap_geo/models/__init__.py

fabiommendes/capacidade_hospitalar

4f675b574573eb3f51e6be8a927ea230bf2712c7

[ "MIT" ]

null

hcap_geo/models/__init__.py

fabiommendes/capacidade_hospitalar

4f675b574573eb3f51e6be8a927ea230bf2712c7

[ "MIT" ]

31

2020-04-11T13:38:17.000Z

2021-09-22T18:51:11.000Z

hcap_geo/models/__init__.py

fabiommendes/capacidade_hospitalar

4f675b574573eb3f51e6be8a927ea230bf2712c7

[ "MIT" ]

1

2020-04-12T17:51:20.000Z

from .region import Region

13.5

26

0.814815

4

27

5.5

0.75

0

0.148148

27

1

27

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e55e0fc059bc7f72eed299e1a461342decb9f3e7

81

py

Python

PulseView_C2_decoder/c2/__init__.py

debug-silicon/C8051F34x_Glitch

f529b944eff9fb8c656595e4f197bd68380ac17e

[ "MIT" ]

34

2021-08-19T17:46:54.000Z

2021-11-15T18:37:33.000Z

PulseView_C2_decoder/c2/__init__.py

minkione/C8051F34x_Glitch

f529b944eff9fb8c656595e4f197bd68380ac17e

[ "MIT" ]

null

PulseView_C2_decoder/c2/__init__.py

minkione/C8051F34x_Glitch

f529b944eff9fb8c656595e4f197bd68380ac17e

[ "MIT" ]

4

2021-08-22T19:59:57.000Z

2021-11-15T18:37:34.000Z

''' This is a decoder for SiLabs C2 debug protocol. ''' from .pd import Decoder

13.5

47

0.703704

13

81

4.384615

0.923077

0

0.015385

0.197531

81

5

48

16.2

0.861538

0.580247

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e570f086e52dd70922ed980b6609bb8a31b1b2b9

55

py

Python

examples/DecryptLoginExamples/crawlers/weibolottery/__init__.py

hedou/DecryptLogin

ff86a5d378c8a42d1caebbb7482658a95053f716

[ "Apache-2.0" ]

null

examples/DecryptLoginExamples/crawlers/weibolottery/__init__.py

hedou/DecryptLogin

ff86a5d378c8a42d1caebbb7482658a95053f716

[ "Apache-2.0" ]

null

examples/DecryptLoginExamples/crawlers/weibolottery/__init__.py

hedou/DecryptLogin

ff86a5d378c8a42d1caebbb7482658a95053f716

[ "Apache-2.0" ]

null

'''initialize''' from .weibolottery import WeiboLottery

27.5

38

0.8

5

55

8.8

0.8

0

0.072727

55

2

38

27.5

0.862745

0.181818

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e5a40ed149eefed81bd49ca93dc89cb651f14b13

331

py

Python

src/turkey_bowl/__init__.py

loganthomas/turkey-bowl

8a02966c3fe06a4dbbcee3f31ed21c2374b77e11

[ "MIT" ]

null

src/turkey_bowl/__init__.py

loganthomas/turkey-bowl

8a02966c3fe06a4dbbcee3f31ed21c2374b77e11

[ "MIT" ]

74

2020-09-26T00:58:17.000Z

2022-03-20T13:55:09.000Z

src/turkey_bowl/__init__.py

loganthomas/Thanksgiving_Football

8a02966c3fe06a4dbbcee3f31ed21c2374b77e11

[ "MIT" ]

1

2020-09-26T01:09:38.000Z

# Local libraries from turkey_bowl import aggregate # noqa: F401 from turkey_bowl import draft # noqa: F401 from turkey_bowl import leader_board # noqa: F401 from turkey_bowl import scrape # noqa: F401 from turkey_bowl import turkey_bowl_runner # noqa: F401 from turkey_bowl import utils # noqa: F401 __version__ = "2020.2"

33.1

56

0.782477

50

331

4.92

0.36

0.284553

0.341463

0.487805

0.569106

0

0.083333

0.166163

331

9

57

36.777778

0.807971

0.244713

0

0.024793

0

1

0

false

0

0.857143

0

0.857143

0

null

1

0

1

0

null

0

1

0

5

e5d1e0b42ed5442faf7e338569d8bbe9cf6a538c

128

py

Python

math-and-algorithm/005.py

silphire/training-with-books

bd07f7376996828b6cb4000d654cdc5f53d1c589

[ "MIT" ]

null

math-and-algorithm/005.py

silphire/training-with-books

bd07f7376996828b6cb4000d654cdc5f53d1c589

[ "MIT" ]

4

2020-01-04T14:05:45.000Z

2020-01-19T14:53:03.000Z

math-and-algorithm/005.py

silphire/training-with-books

bd07f7376996828b6cb4000d654cdc5f53d1c589

[ "MIT" ]

null

# https://atcoder.jp/contests/math-and-algorithm/tasks/math_and_algorithm_e input() print(sum(map(int, input().split())) % 100)

32

75

0.742188

20

128

4.6

0.8

0.152174

0.347826

0

0.024793

0.054688

128

4

76

32

0.735537

0.570313

0

1

0

true

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e5d4bc87d2690a4baaaeac7f011e9088f9aa5a2b

169

py

Python

autopy/core/Option.py

songofhawk/autopy

d00588e7c55e1d74cea34ee036490d66e5cf5553

[ "MIT" ]

1

2022-02-16T08:37:25.000Z

simplerpa/core/Option.py

songofhawk/simplerpa

69491f3e9a84c106921be972242d05c5e3db5849

[ "MIT" ]

null

simplerpa/core/Option.py

songofhawk/simplerpa

69491f3e9a84c106921be972242d05c5e3db5849

[ "MIT" ]

null

class Option: project: str = './conf/auto_dingding.yaml' def __init__(self, project): self.project = project if project is not None else self.project

21.125

71

0.680473

23

169

4.782609

0.695652

0.3

0

0.224852

169

7

72

24.142857

0.839695

0

0.149701

0

1

0.25

false

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f90dabc61f98ccb644c099b938ebc10195d7279c

168

py

Python

app/app/api/domain/services/wrappers/mongo/PymongoExecutor.py

GPortas/Playgroundb

60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e

[ "Apache-2.0" ]

1

2019-01-30T19:59:20.000Z

app/app/api/domain/services/wrappers/mongo/PymongoExecutor.py

GPortas/Playgroundb

60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e

[ "Apache-2.0" ]

null

app/app/api/domain/services/wrappers/mongo/PymongoExecutor.py

GPortas/Playgroundb

60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e

[ "Apache-2.0" ]

null

from bson import ObjectId class PymongoExecutor: def __init__(self, db): self.db = db def execute(self, expression): return eval(expression)

16.8

34

0.660714

20

168

5.35

0.7

0.11215

0

0.261905

168

9

35

18.666667

0.862903

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f918c3b9cdf4dacc151d8602de9822285336415b

140

py

Python

src/Problem0006.py

rrohrer/ProjectEuler

cb8bcce24a8c3ea4e539ac22c8fe0486c2f3554b

[ "MIT" ]

null

src/Problem0006.py

rrohrer/ProjectEuler

cb8bcce24a8c3ea4e539ac22c8fe0486c2f3554b

[ "MIT" ]

null

src/Problem0006.py

rrohrer/ProjectEuler

cb8bcce24a8c3ea4e539ac22c8fe0486c2f3554b

[ "MIT" ]

null

sum_of_sqares = sum(map(lambda x: x ** 2,list(range(1,101)))) sum_squared = sum(list(range(1,101))) ** 2 print sum_squared - sum_of_sqares

28

61

0.7

27

140

3.407407

0.481481

0.108696

0.23913

0.282609

0

0.081301

0.121429

140

4

62

35

0.666667

0

null

0

null

0.333333

1

0

null

0

1

0

1

0

null

0

1

0

5

0092cb1fcb77512bf089a8baa802b09f75258d96

124

py

Python

webargscontrib/utils/__init__.py

marcellarius/webargscontrib.utils

af1794cc3fe00b72e2570562fdbfbfb416b43df4

[ "MIT" ]

null

webargscontrib/utils/__init__.py

marcellarius/webargscontrib.utils

af1794cc3fe00b72e2570562fdbfbfb416b43df4

[ "MIT" ]

null

webargscontrib/utils/__init__.py

marcellarius/webargscontrib.utils

af1794cc3fe00b72e2570562fdbfbfb416b43df4

[ "MIT" ]

null

from .string import lowercase, strip from .types import boolean from .validate import choices, not_empty, not_null, within

24.8

58

0.806452

18

124

5.444444

0.722222

0

0.137097

124

4

59

31

0.915888

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

00daf85a279ef056005b74d54ae0a7f002cc3928

832

py

Python

pyboletox/Contracts/Cnab/Retorno/Cnab400/header.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

1

2022-03-14T12:22:42.000Z

pyboletox/Contracts/Cnab/Retorno/Cnab400/header.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

null

pyboletox/Contracts/Cnab/Retorno/Cnab400/header.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

1

2022-03-14T12:22:27.000Z

from abc import ABCMeta, abstractmethod class Header(metaclass=ABCMeta): @abstractmethod def getOperacaoCodigo(self): pass @abstractmethod def getOperacao(self): pass @abstractmethod def getServicoCodigo(self): pass @abstractmethod def getServico(self): pass @abstractmethod def getAgencia(self): pass @abstractmethod def getAgenciaDv(self): pass @abstractmethod def getConta(self): pass @abstractmethod def getContaDv(self): pass @abstractmethod def getData(self, format='%d/%m/%Y'): pass @abstractmethod def getConvenio(self): pass @abstractmethod def getCodigoCliente(self): pass @abstractmethod def toDict(self): pass

15.698113

41

0.605769

73

832

6.90411

0.369863

0.404762

0.458333

0.496032

0

0.319712

832

52

42

16

0.890459

0

0.631579

0

0.009615

0

1

0.315789

false

0.315789

0.026316

0

0.368421

0

null

1

0

null

0

1

0

1

0

5

da995e37e26f28c86c7773a8fc6d4fe3b2d37cfa

32

py

Python

users/models.py

hrbhat/twissandra

e2c16eac29b3c77065555da269b7974898e9f80e

[ "Apache-2.0" ]

308

2015-01-04T20:05:10.000Z

2022-03-09T17:15:52.000Z

users/models.py

hrbhat/twissandra

e2c16eac29b3c77065555da269b7974898e9f80e

[ "Apache-2.0" ]

10

2016-01-02T20:29:03.000Z

2020-06-05T16:45:20.000Z

users/models.py

hrbhat/twissandra

e2c16eac29b3c77065555da269b7974898e9f80e

[ "Apache-2.0" ]

109

2015-02-01T11:25:24.000Z

2022-03-18T12:18:13.000Z

# Nope, we're using Cassandra :)

32

0.6875

5

32

4.4

1

0

0.15625

32

1

32

0.814815

0.9375

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

daca877efd1e65964029e5db68bcc9839c90b9c5

168

py

Python

tests/app_test/actions.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

[ "MIT" ]

1

2018-09-11T18:35:42.000Z

tests/app_test/actions.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

[ "MIT" ]

null

tests/app_test/actions.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

[ "MIT" ]

null

from django.utils.translation import ugettext_lazy as _ PROFILE_SAVE_ACTION = 'PROFILE_SAVE_ACTION' ACTIONS = { 'PROFILE_SAVE_ACTION': _('profile save action') }

21

55

0.77381

21

168

5.761905

0.571429

0.363636

0.561983

0.396694

0.561983

0

0.136905

168

7

56

24

0.834483

0

0.339286

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

5

dad4be65e6cc7067f262fde77b083dfb889b532c

1,084

py

Python

smartmin/perms.py

nickhargreaves/smartmin

660a67ec2619af2a766970b3fe3b4369fffb5741

[ "BSD-3-Clause" ]

166

2015-01-13T13:40:17.000Z

2022-03-23T09:40:52.000Z

smartmin/perms.py

nickhargreaves/smartmin

660a67ec2619af2a766970b3fe3b4369fffb5741

[ "BSD-3-Clause" ]

71

2015-01-08T17:02:31.000Z

2022-02-10T12:43:27.000Z

smartmin/perms.py

nickhargreaves/smartmin

660a67ec2619af2a766970b3fe3b4369fffb5741

[ "BSD-3-Clause" ]

34

2015-01-14T07:19:27.000Z

2021-02-19T20:41:02.000Z

from django.contrib.auth.models import Permission def assign_perm(perm, group): """ Assigns a permission to a group """ if not isinstance(perm, Permission): try: app_label, codename = perm.split('.', 1) except ValueError: raise ValueError("For global permissions, first argument must be in" " format: 'app_label.codename' (is %r)" % perm) perm = Permission.objects.get(content_type__app_label=app_label, codename=codename) group.permissions.add(perm) return perm def remove_perm(perm, group): """ Removes a permission from a group """ if not isinstance(perm, Permission): try: app_label, codename = perm.split('.', 1) except ValueError: raise ValueError("For global permissions, first argument must be in" " format: 'app_label.codename' (is %r)" % perm) perm = Permission.objects.get(content_type__app_label=app_label, codename=codename) group.permissions.remove(perm) return

31.882353

91

0.621771

126

1,084

5.222222

0.357143

0.097264

0.145897

0.033435

0.753799

0

0.002561

0.27952

1,084

33

92

32.848485

0.839949

0.059963

0

0.666667

0

0.176113

0

1

0.095238

false

0

0.047619

0

0.238095

0

null

0

1

0

null

0

5

9703e38f8832c0d7454a71291ecef7ce1b0d5956

51

py

Python

src/interface/__init__.py

ARTIEROCKS/artie-emotional-webservice

a0429f36ee9534d1ea6960dea19732a21e0eb406

[ "Apache-2.0" ]

null

src/interface/__init__.py

ARTIEROCKS/artie-emotional-webservice

a0429f36ee9534d1ea6960dea19732a21e0eb406

[ "Apache-2.0" ]

null

src/interface/__init__.py

ARTIEROCKS/artie-emotional-webservice

a0429f36ee9534d1ea6960dea19732a21e0eb406

[ "Apache-2.0" ]

null

from .emotional_interface import EmotionalInterface

51

0.921569

5

51

9.2

1

0

0.058824

51

1

51

0.958333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9719fb1520f2785d13e4dfe604cdc74fbac47514

177

py

Python

indico_toolkit/association/__init__.py

IndicoDataSolutions/Indico-Solutions-Toolkit

c9a38681c84e86a48bcde0867359ddd2f52ce236

[ "MIT" ]

6

2021-05-20T16:48:27.000Z

2022-03-15T15:43:40.000Z

indico_toolkit/association/__init__.py

IndicoDataSolutions/Indico-Solutions-Toolkit

c9a38681c84e86a48bcde0867359ddd2f52ce236

[ "MIT" ]

25

2021-06-25T13:37:21.000Z

2022-01-03T15:54:26.000Z

indico_toolkit/association/__init__.py

IndicoDataSolutions/Indico-Solutions-Toolkit

c9a38681c84e86a48bcde0867359ddd2f52ce236

[ "MIT" ]

null

from .line_items import LineItems from .extracted_tokens import ExtractedTokens from .split_merged_values import split_prediction_into_many from .positioning import Positioning

35.4

59

0.887006

23

177

6.521739

0.652174

0

0.090395

177

4

60

44.25

0.931677

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

971d50683deeab0f7a124c94b4d6ede311d7688f

49,893

bzl

Python

bazelrio/dependencies/wpilib/2022_1_1/deps.bzl

noamzaks/bazelrio

1684b66865e655fc0f3832f0e3602e905a1d4035

[ "MIT" ]

5

2021-09-26T01:16:26.000Z

2022-03-18T17:21:23.000Z

bazelrio/dependencies/wpilib/2022_1_1/deps.bzl

noamzaks/bazelrio

1684b66865e655fc0f3832f0e3602e905a1d4035

[ "MIT" ]

59

2021-09-23T04:19:33.000Z

2022-03-29T07:47:10.000Z

bazelrio/dependencies/wpilib/2022_1_1/deps.bzl

noamzaks/bazelrio

1684b66865e655fc0f3832f0e3602e905a1d4035

[ "MIT" ]

2

2021-11-18T10:34:16.000Z

2021-11-21T06:15:07.000Z

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive", "http_jar") load("@bazel_tools//tools/build_defs/repo:jvm.bzl", "jvm_maven_import_external") load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") load("@bazelrio//:deps_utils.bzl", "cc_library_headers", "cc_library_shared", "cc_library_sources", "cc_library_static") def setup_wpilib_2022_1_1_dependencies(): maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-linuxathena.zip", sha256 = "3570c0a2a91e3547aae2234479b6f13528685abb5225c140e291cd73418441d5", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "475e890fd43367b851d013aff5ffcfcefae7db33656aee3c6a1367708eafe170", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-windowsx86-64.zip", sha256 = "69e3bc8e316e483c728221d90d621acdae4741d027f8638ab375a4b1a9ca21cd", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-linuxx86-64.zip", sha256 = "b9428d9b41e5c56ebabec8f29739125c39fd07706ac5dc941648ddfa5cac6be3", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-osxx86-64.zip", sha256 = "04a10cccf42b863dd8c220ba26fc96a0692242453424c103b67eab89181bec3d", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "96abb44cf19fe7703618432bea13b7398f8240c8da334c35af11536dcb15ff26", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "f7dddf967e3aea536bf6c0f907984c2df20f0cc921d1023297a30cf553765868", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-osxx86-64static.zip", sha256 = "b854025344262eb6a9b35e271d4de3fbb76ec317eb3f30143b6be55c16424963", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-headers.zip", sha256 = "29d9fa0496bf299ec8dc58347fd772230d51ce4f6a85f10951bcc18b20230dde", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibc_wpilibc-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibc/wpilibc-cpp/2022.1.1/wpilibc-cpp-2022.1.1-sources.zip", sha256 = "06b71a61100ba3822aa2fbfa1f6d3d7e796f2c16df82bc8e0f82818f0422b418", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-linuxathena.zip", sha256 = "f84fe5162cedce9a938d0bf2a0074aa76887e164be681f0d8ca29ddee1df346f", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "c70b6a599f0f4676c39e14784619f1138b9a4ecdf8a4514ebbb8e56de0d34f47", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-windowsx86-64.zip", sha256 = "01d7a62ccb613e27a84766116c4821409306821d2e49f26d5a86977b57bb6566", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-linuxx86-64.zip", sha256 = "7d18a354244ed9b31952389c53e9f3f566e97566f8957d3433b16066018cee06", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-osxx86-64.zip", sha256 = "741b792ad34367ce3315aec8e1ae8f7a7618a3fa33779fbd2f0e5507b56b7d8b", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "40a76101beadb6d6163f86f1c5ea0f1fd4a2c5de32813a67908f17dc6963fa64", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "ef02ccabb119bcfcdaabd3d443933b5749767e8810b774948387a798d99fa9b1", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-osxx86-64static.zip", sha256 = "81dc7f890417b43f636df556d86087e8c08a983cf50f8d280ec3b4e0000a2ee8", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-headers.zip", sha256 = "893734817fcbb8b9758d94a972bb5f22da3da628c5ed5da86490ac2d31756051", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_hal_hal-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/hal/hal-cpp/2022.1.1/hal-cpp-2022.1.1-sources.zip", sha256 = "273cfdeb7750ec220c5b09d7da46e5b402a1a56edc01af3f5b614f5e20795bf2", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-linuxathena.zip", sha256 = "5d12b4de347ebffe1c7783b01389c11906f17917bd32539c216c5fa6d1ad63e7", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "501ea6a79d24837292b063293dc2230522484b5eb424406f6efd7443484e2058", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-windowsx86-64.zip", sha256 = "8ebadc5f2b7c6962ed1d3df945806087404212899bcf81ecfbd8dd4f7d5d1302", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-linuxx86-64.zip", sha256 = "c50f2b002ce2a19bde9a394683d08daba441cd8bc4ae469186df4cd814de42a6", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-osxx86-64.zip", sha256 = "4d0e5d86b6d285682971ad1dc0c350350862fd9adb10db26ae910c38e523a18d", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "3331a4fd37e7c05fc409c17992293957de6119fac14a7fae3cf1e0abee3b85cf", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "bf2bc6a7df448c405786ef877e3b8095ebe0677944c4cf2a927fbbbed0c5c3b8", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-osxx86-64static.zip", sha256 = "8431c1981baf3d20d072ed03624f999f3dc02a0f619dd61dae8c4d05d546207a", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-headers.zip", sha256 = "49f6565ace351fe7cb3e591e8a391d8c515214135ab84f516e17293e0cb28764", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiutil_wpiutil-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpiutil/wpiutil-cpp/2022.1.1/wpiutil-cpp-2022.1.1-sources.zip", sha256 = "9d4c76af759e70cf2063958c4d856e7e1b0ea60551bbc245fe0edb041bc0a37d", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-linuxathena.zip", sha256 = "7b8dc317151aa66c0f787f09e49acb9d7aa1dd9f66b2021e9aebb79f3b78b507", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "45b64d7f8801dca368b89a025b94fd564bed7def1786ead44042b187060db054", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-windowsx86-64.zip", sha256 = "d71ef6b5ce0817474e4d0c4ab92f1c44800516d3a6978c5f33b47eaa7e081a5b", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-linuxx86-64.zip", sha256 = "216bcc5c4e00dae92a6a470ba8920a7b0429a63472277565de7f2b03956f3edd", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-osxx86-64.zip", sha256 = "aba23c0225830808c359497afd61b650fe2a469420862f7ed275478932374dbb", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "39e62c37d97bf90077eedaf78ca5e18cc62db322695fbf5de9bed0b27c2f370a", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "9494d27ca80a6a9bbc892e929da97e5c7d37f3788417ec03907169af28b5e815", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-osxx86-64static.zip", sha256 = "ce070898bd5bad7f48974bbb9bfc5eccbd4b450d0f6dffb8d42d93e13dbd850d", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-headers.zip", sha256 = "2df197a2301478c32a37634c61b7dd93676e668939eeeab4820a780b29b559c4", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_ntcore_ntcore-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/ntcore/ntcore-cpp/2022.1.1/ntcore-cpp-2022.1.1-sources.zip", sha256 = "f546244b35875f64c9d37e570f098f9977c5cca6d3d7ccc91615b88c8713fe69", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-linuxathena.zip", sha256 = "895bbf531fe2bcec0b9ad87311779abbb862c73b74016763990eaea46e207246", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "a39dc62b2f96c3c17c69c44356a4980b8789334640b2a43f0a43bfebd8554c2a", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-windowsx86-64.zip", sha256 = "511945f5988e9c3196f706243e5542f8ef0223878a74878104c44ff73ad5fc9b", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-linuxx86-64.zip", sha256 = "63378c9ca80ced1c5f69619c75ac6f230d0962a510131cfb0a898dc3ca0cda78", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-osxx86-64.zip", sha256 = "c9750d902aec05b007e030c50553bec33c5ed70874671f9d7cdb9180890704c5", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "e3276046c92fe815364bab523c4719053bedf1df8eb79f62b89875a4f133490a", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "984e6e32fdb80ffbe0b88faa9e88246690309aebf92e27de1d6d4ba7024206f7", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-osxx86-64static.zip", sha256 = "e96b718fb95b4e14b0b0db4d0ba9de996b95d4c111317237ba4696d8b698e36b", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-headers.zip", sha256 = "db0cd454cdcfa592248cdfa6703ff5361a84a754e3530e91652aa41078ea0dd0", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpimath_wpimath-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpimath/wpimath-cpp/2022.1.1/wpimath-cpp-2022.1.1-sources.zip", sha256 = "f120bd9f2e60d1da313017ec72630844fe3cd2232d927caa843053f232b6bd67", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-linuxathena.zip", sha256 = "2c96983902d1caef823e38f314939d4f192c795541bda0c263af65b0cadd8cb0", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "0129b2e3079852f26b2272a7e91a824194f2f6ba345f0c400611fe4888bff03a", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-windowsx86-64.zip", sha256 = "fda5b67cf934647c493e4ae7ebc76fd1801f1ced107e58771af2d6658527d547", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-linuxx86-64.zip", sha256 = "e4655a46c792013675d42d11506f86d5f6f5bf1d814db6f2aac43e8aa1fdae68", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-osxx86-64.zip", sha256 = "afc4b26a4e6f4a7456ac3002f681ecb6179c919e11f22b81cfa0581bb0ffe284", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "bcb92cddf2d66ea0a6d86b9dd75b10bdf7dd9c2b219fc4af106a335211e79cfd", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "5edf5f8bfdc88302ea0fb64127f1d13899f2627c51cff5efc5da8fa65e9d4697", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-osxx86-64static.zip", sha256 = "404d9819c42e071577d27d6e6775958b630047c5ec3591a18781df2bb42e5ac0", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-headers.zip", sha256 = "603adee3cf0cb0dde90d530d29cfdb6f4cc239f3c64c93d0d07867bf2b54e672", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cameraserver_cameraserver-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cameraserver/cameraserver-cpp/2022.1.1/cameraserver-cpp-2022.1.1-sources.zip", sha256 = "bb585c808b383eae4ef1b24e4c879ed8b6a0c1a1e6c040f2b4c1bd0e17adf82b", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-linuxathena.zip", sha256 = "b660c4dafbb5b30255fce165e857ecc84ebf1e8e588fba0135447232b9cbf2e9", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "fc21cd4f72b04f8e6ede40eea2a8bfc5bc0c5c540ffbce4a3370b993fce6fa39", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-windowsx86-64.zip", sha256 = "857c24ed73c6b11d062e0bd233e8834397ce8ed3986917bb39e90e009a18ff48", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-linuxx86-64.zip", sha256 = "c2bb50b94194a910c4cadad287dad7656ac1c6a81b2f19c64f6ec0625747ee8d", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-osxx86-64.zip", sha256 = "8b87c660408614111d6c83f38c8c13d05c362ae8549cd47bc5f562a0ce6c8401", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "3518ef84638323b9c90445b1115eec0b2b856fae2ab029083d647f2dee2097e1", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "d425c9796b20da2f87ff1c2947a05667e1808c49263698f89c02f6f3b5fcbefe", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-osxx86-64static.zip", sha256 = "1b3ca858c86428c4c6258c4dcec5fb27c5ef9161fe7ab263224aea186205256d", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-headers.zip", sha256 = "4e91cd9114e0498fcdda69e73aa323f2178fee4c17d78582c220f058f4999905", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_cscore_cscore-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/cscore/cscore-cpp/2022.1.1/cscore-cpp-2022.1.1-sources.zip", sha256 = "46740462856ba6e7804ff5dd5353e946910cfdf802ae80bc306c47aa26c6923e", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-linuxathena.zip", sha256 = "a0875ce8e545c99a809126e79ffdc3faccc5ed08aaf7822dd1b2f4c288d17fcd", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "cf0c6ac0ef86872b7dca198fc1091547d104c8ec853b6569f7677563b97038bb", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-windowsx86-64.zip", sha256 = "98b640dfb2e1b0282d851022e7119b37686f4c47f951a95ea0854664f5cb45b4", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-linuxx86-64.zip", sha256 = "653b1ed5802e531377af85bad7e42f5dfc50dcae66350bf853c0498e1cf941f1", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-osxx86-64.zip", sha256 = "c49e989b3730f6ad8b98d3b30edff0e85dd9da08d47b91d4dbbe0829ef9cd29e", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "e33becf456e85a7c6484f2a8cf86253b9a31bdca9eeb954a522461bc006bdac8", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "c312941aafb9bd74e3f4c629a15bc131b51ba11e5d6fba560eb97355dc6349fd", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-osxx86-64static.zip", sha256 = "050aec1e42262aa3e6d8e3c7c7580749f8a1eedd594dd013d448828716b3d239", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-headers.zip", sha256 = "fd11c98f1b9242e80e6fc864f8e2cc41a001ad464498c6cc95ccb26ec84fd6a9", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibOldCommands/wpilibOldCommands-cpp/2022.1.1/wpilibOldCommands-cpp-2022.1.1-sources.zip", sha256 = "eacf13f19c3940ccd35f24aaaffc378bf41779e9072a4ed416374689b0a8ccf2", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_linuxathena", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-linuxathena.zip", sha256 = "f64fbdfdf82f358463eb1d8333d73990d83bec8396a982e6d2d00f9dccee3144", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_linuxathenastatic", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-linuxathenastatic.zip", sha256 = "64adf9dd211fdcfa092fb350d37a8c673d24dd7ddd20d99482008683ee1c6991", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-windowsx86-64.zip", sha256 = "bac67e8854fc88fb14d905556ba9cc953d00ebf01c39c4ab517826e8ce5cd4b4", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-linuxx86-64.zip", sha256 = "2389cecb8b86adf7d4323aa86dc7f64d5c566e6b0d0e099a123618efd3b4c76b", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-osxx86-64.zip", sha256 = "d56cbcbc6e656b27d8be5a4238a5758d699b24eca7195fca952b38df1db8e099", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_windowsx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-windowsx86-64static.zip", sha256 = "e59495ceb36f6e113dfd8154ac0f7478f59e5b8e1879f912eb9e4423fc7b6f12", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_linuxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-linuxx86-64static.zip", sha256 = "5132ce51cf48260d82d3bd8fb239fd516675cb1abe3339086ebdb13f1d50beb0", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_osxx86-64static", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-osxx86-64static.zip", sha256 = "86fa73e93a21aa676312875b8483a9f55e12e9c2885a28065ed3429e7b4efbb3", build_file_content = cc_library_static, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_headers", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-headers.zip", sha256 = "2a36b62c3bd764974d23b507de6ea0356e17f46cd8dc67dd6b33acc7afa32708", build_file_content = cc_library_headers, ) maybe( http_archive, "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-cpp_sources", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/wpilibNewCommands/wpilibNewCommands-cpp/2022.1.1/wpilibNewCommands-cpp-2022.1.1-sources.zip", sha256 = "61e980c42f0cf7991c4d0578751241cdf7c9a6fea9241b7d5fa631479ae4d719", build_file_content = cc_library_sources, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ds_socket_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ds_socket/2022.1.1/halsim_ds_socket-2022.1.1-windowsx86-64.zip", sha256 = "aa53a0537813eb8092b6052adfe8f8b4ed7b237ae3541f29001dcc5bbcad9fcc", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ds_socket_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ds_socket/2022.1.1/halsim_ds_socket-2022.1.1-linuxx86-64.zip", sha256 = "99ed1a95e84f6fdcfdf9f052c8f303ac096a77865ee0fe4cd651d7b73fafe75e", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ds_socket_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ds_socket/2022.1.1/halsim_ds_socket-2022.1.1-osxx86-64.zip", sha256 = "13b0aa8a8d579d4983ecdee33d89cdd720d266e5a6edcc57b2c5fef59b0ac943", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_gui_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_gui/2022.1.1/halsim_gui-2022.1.1-windowsx86-64.zip", sha256 = "1cbc198e1ed610614ca24449367007178452a1c2073536b307030d69cc7a4f3c", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_gui_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_gui/2022.1.1/halsim_gui-2022.1.1-linuxx86-64.zip", sha256 = "d7c233f44c19d6775a42ab9d5ae0be7ad9644d5edffa74fe017ff4356db3a058", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_gui_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_gui/2022.1.1/halsim_gui-2022.1.1-osxx86-64.zip", sha256 = "9d8e2a1d71ab7b7e2db75a261665aa994e84e4505caf86ab055d2b39c40c16d3", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_client_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_client/2022.1.1/halsim_ws_client-2022.1.1-windowsx86-64.zip", sha256 = "3b56a59a07cb44dd169fa986c4c39a4cef8c8d9b69a9b35e0975bd6530fdc067", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_client_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_client/2022.1.1/halsim_ws_client-2022.1.1-linuxx86-64.zip", sha256 = "317d98639060c5174cedfe9a18b8f81db85ef193a60ecc938ff76e2529be7ee6", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_client_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_client/2022.1.1/halsim_ws_client-2022.1.1-osxx86-64.zip", sha256 = "a600f4fc60598f42acb52c7b17fcfa42255e48033507cd2ad9e00b985594ca85", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_server_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_server/2022.1.1/halsim_ws_server-2022.1.1-windowsx86-64.zip", sha256 = "77e2066636643b61fdc2febe643f4dc5cfdd01f71680c17d6268db20c67921c0", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_server_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_server/2022.1.1/halsim_ws_server-2022.1.1-linuxx86-64.zip", sha256 = "daab49d464cd0e18ab911470abccc7b70d1e77b4afe0874a80e765a99c93b988", build_file_content = cc_library_shared, ) maybe( http_archive, "__bazelrio_edu_wpi_first_halsim_halsim_ws_server_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/halsim/halsim_ws_server/2022.1.1/halsim_ws_server-2022.1.1-osxx86-64.zip", sha256 = "848464ca9a3d494de18e8f269d771bda55fa73e62cda6a1563e3d7c33ba07c7e", build_file_content = cc_library_shared, ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_shuffleboard_api", artifact = "edu.wpi.first.shuffleboard:api:2022.1.1", artifact_sha256 = "889c805d97a6be839e95ad21eb113621d3f8d24d9b73dcefaee00b492a507c98", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_wpilibj_wpilibj-java", artifact = "edu.wpi.first.wpilibj:wpilibj-java:2022.1.1", artifact_sha256 = "27b8d98abffcaca0f493cd5bda9a1b4ab64e8fceb513b2241aab08d961951179", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_hal_hal-java", artifact = "edu.wpi.first.hal:hal-java:2022.1.1", artifact_sha256 = "cd49ca18066d1eafa8877a3342383127557f594f302bd422f0ea21f850ca94cb", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_wpiutil_wpiutil-java", artifact = "edu.wpi.first.wpiutil:wpiutil-java:2022.1.1", artifact_sha256 = "7b0f5c9d4ef7d98c0d2d735cb1af31461840811c6b8d5fd21d96a61ffaa1e34d", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_ntcore_ntcore-java", artifact = "edu.wpi.first.ntcore:ntcore-java:2022.1.1", artifact_sha256 = "b5065d34aaadca8968748df86b8850667d3a8397ec5977316d961de5311ebcc0", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_wpimath_wpimath-java", artifact = "edu.wpi.first.wpimath:wpimath-java:2022.1.1", artifact_sha256 = "e3d2c1e4e46abf98ddaf2e1a77abdd76d63d18b634a212070ac1f350141d06a6", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_cameraserver_cameraserver-java", artifact = "edu.wpi.first.cameraserver:cameraserver-java:2022.1.1", artifact_sha256 = "99427cbfd43c933608c7b243509f3f7ad43872fa0057defcadbc09d8b4bdfb46", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_cscore_cscore-java", artifact = "edu.wpi.first.cscore:cscore-java:2022.1.1", artifact_sha256 = "ac38684b7ec825c627ca73d18e41cd956205250af16a90688c8d98e7d9a0c187", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_wpiliboldcommands_wpiliboldcommands-java", artifact = "edu.wpi.first.wpilibOldCommands:wpilibOldCommands-java:2022.1.1", artifact_sha256 = "a07ecd41b13bff0649a0feb30c9f62694145cc222ee1cb2c8cc57bca2b6bb0cc", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( jvm_maven_import_external, name = "__bazelrio_edu_wpi_first_wpilibnewcommands_wpilibnewcommands-java", artifact = "edu.wpi.first.wpilibNewCommands:wpilibNewCommands-java:2022.1.1", artifact_sha256 = "d87aab4d067dbb9c06203667bb7a8c9d658d9aa731c91370446f57a75335ffff", server_urls = ["https://frcmaven.wpi.edu/release"], ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_smartdashboard_linux64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SmartDashboard/2022.1.1/SmartDashboard-2022.1.1-linux64.jar", sha256 = "6bfeeb5a2f28506565f80636a04d234a52e3789081356dee5de00827983125f5", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_smartdashboard_mac64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SmartDashboard/2022.1.1/SmartDashboard-2022.1.1-mac64.jar", sha256 = "d7b153f095de363a2d7a391dbbd3708903837032dabbe97943ab9225b1cfe5fd", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_smartdashboard_win64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SmartDashboard/2022.1.1/SmartDashboard-2022.1.1-win64.jar", sha256 = "ddaaae6bbccc1e1ea67e3e93dfc4227af37026b19bd54b2b53677d65b2189877", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_pathweaver_linux64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/PathWeaver/2022.1.1/PathWeaver-2022.1.1-linux64.jar", sha256 = "de5630b5f9a049a84a213123add1242feff072ce8ccba09e1fc822c7b497e8f7", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_pathweaver_mac64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/PathWeaver/2022.1.1/PathWeaver-2022.1.1-mac64.jar", sha256 = "35e6d0f5758cf46b01f446431f7ed4490708bfdb45281038d01c6f781c1229a3", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_pathweaver_win64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/PathWeaver/2022.1.1/PathWeaver-2022.1.1-win64.jar", sha256 = "56a6cba57c2ce816ee6ebbb8dd34b7b7cd61c549d8863a3f43c504c354a0e979", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_tools_robotbuilder", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/RobotBuilder/2022.1.1/RobotBuilder-2022.1.1.jar", sha256 = "db8c22764d8c1f7bbe1550f85ed64358197dbe7b7d605607a79f91ef6465eb62", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_shuffleboard_shuffleboard_linux64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/shuffleboard/shuffleboard/2022.1.1/shuffleboard-2022.1.1-linux64.jar", sha256 = "028ce82032dade135b2a409f87616807c5df0465e31d68ea05c115570c42fd9f", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_shuffleboard_shuffleboard_mac64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/shuffleboard/shuffleboard/2022.1.1/shuffleboard-2022.1.1-mac64.jar", sha256 = "a2f8dab93fd56d7a16d4aeccadbb0bf72a77a933255ed44c2465f27bcab3527a", ) maybe( http_jar, name = "__bazelrio_edu_wpi_first_shuffleboard_shuffleboard_win64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/shuffleboard/shuffleboard/2022.1.1/shuffleboard-2022.1.1-win64.jar", sha256 = "ada1cf7175f2e2a0fc19179193a4ab79b570f9b79dea603828e43c75e7f70785", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_glass_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/Glass/2022.1.1/Glass-2022.1.1-windowsx86-64.zip", sha256 = "ffebb339b6db52878d56bc2cdf63efddd36e20a6bc9dd47ca3b326386f715a6f", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_glass_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/Glass/2022.1.1/Glass-2022.1.1-linuxx86-64.zip", sha256 = "9b5f47ce127d3ed057e2196537c7c2e2551fe0ca2f86b3b8634400a651c65d80", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_glass_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/Glass/2022.1.1/Glass-2022.1.1-osxx86-64.zip", sha256 = "e323e82116571fee1f58b18445c9eafc4158fafd8bb09fde44ae975987a91eb1", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_outlineviewer_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/OutlineViewer/2022.1.1/OutlineViewer-2022.1.1-windowsx86-64.zip", sha256 = "76da23b24141864d5024f9fe54133eb4a92e7d5ba13fcbb3de8848f51b84189b", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_outlineviewer_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/OutlineViewer/2022.1.1/OutlineViewer-2022.1.1-linuxx86-64.zip", sha256 = "df80f8ff7666ab98ab358193f1f7d8f851c6cc0e9ed8d435bc06ccdf9385946b", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_outlineviewer_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/OutlineViewer/2022.1.1/OutlineViewer-2022.1.1-osxx86-64.zip", sha256 = "b41c91ff3db5fee9181e9ece4234675e7eb4eaa7d7ee9976ad61c599d74b21b7", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_sysid_windowsx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SysId/2022.1.1/SysId-2022.1.1-windowsx86-64.zip", sha256 = "ef09ba600f83ea4afffbc826c54e4d0d80747a50082cea7ed44252061833cc7f", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_sysid_linuxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SysId/2022.1.1/SysId-2022.1.1-linuxx86-64.zip", sha256 = "29264caec4d730e27a042bdb569333a757189a62c639d10713d62295bc176dc9", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", ) maybe( http_archive, name = "__bazelrio_edu_wpi_first_tools_sysid_osxx86-64", url = "https://frcmaven.wpi.edu/release/edu/wpi/first/tools/SysId/2022.1.1/SysId-2022.1.1-osxx86-64.zip", sha256 = "d1f3f2d55154cc0644fba15d8c42a6aae33068f6e698cb6e9c6da0264a817f3c", build_file_content = "filegroup(name='all', srcs=glob(['**']), visibility=['//visibility:public'])", )

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null

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1

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5

9724a70f932f9da8380789193d74d020eabb3ea7

86

py

Python

screen-pass/models.py

jmatune/screen-pass

3ec194713973b00b4a1b221b6ed572a5f71028b4

[ "Apache-2.0" ]

null

screen-pass/models.py

jmatune/screen-pass

3ec194713973b00b4a1b221b6ed572a5f71028b4

[ "Apache-2.0" ]

null

screen-pass/models.py

jmatune/screen-pass

3ec194713973b00b4a1b221b6ed572a5f71028b4

[ "Apache-2.0" ]

null

import numpy as np import pandas as pd from keras.layers import Conv2D, Dense, Dropout

28.666667

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97394e89a7bf7aa0aaa9465644f9e9163b5c5ee3

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py

Python

src/larval_gonad/plotting/literature.py

jfear/larval_gonad

624a71741864b74e0372f89bdcca578e5cca3722

[ "MIT" ]

1

2019-09-13T13:24:18.000Z

src/larval_gonad/plotting/literature.py

jfear/larval_gonad

624a71741864b74e0372f89bdcca578e5cca3722

[ "MIT" ]

65

2019-07-24T16:23:08.000Z

2020-03-06T22:18:47.000Z

src/larval_gonad/plotting/literature.py

jfear/larval_gonad

624a71741864b74e0372f89bdcca578e5cca3722

[ "MIT" ]

1

2021-06-02T19:09:35.000Z

from typing import List import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib.patches as mpatches import seaborn as sns from larval_gonad.io import feather_to_cluster_matrix from larval_gonad.plotting.common import get_fbgn2symbol from larval_gonad.plotting.biomarkers import _cleanup_xaxis as _cleanup_xaxis_rep def plot_lit_evidence_profile( gene_metadata: str, lit_evidence: str, tpm_by_cluster: str, germ_clusters: list, axes: list = None, ): """Plot heatmap of evidence and expression patterns from the literature. Most of the evidence patterns are protein based. Example ------- >>> from larval_gonad.config import read_config >>> config = read_config("config/common.yaml") >>> gene_metadata = f"references/gene_annotation_dmel_{config['tag']}.feather" >>> lit_evidence = "data/external/miriam/lit_gene_dummy_vars.tsv" >>> tpm_by_cluster = "output/seurat3-cluster-wf/tpm_by_cluster.feather" >>> germ_clusters = config["germ"] >>> plot_lit_expression_profile(gene_metadata, lit_evidence) """ fbgn2symbol = get_fbgn2symbol(gene_metadata) germ_evidence = _get_lit_evidence(lit_evidence)[["SP", "ES", "MS", "LS"]] this_study = list(map(lambda x: fbgn2symbol[x], _genes_w_ptraps(lit_evidence))) binned_expression = _get_binned_expression(tpm_by_cluster)[germ_clusters] df = germ_evidence.join(binned_expression).rename(fbgn2symbol) if axes is None: _, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 8)) else: ax1, ax2 = axes defaults = dict(square=True, linewidths=0.01, linecolor="k", yticklabels=True, cbar=False) sns.heatmap(data=df.iloc[:, :4], cmap=["#d3d3d3", "#450457", "#f8e621"], ax=ax1, **defaults) sns.heatmap(data=df.iloc[:, 4:], cmap=["#450457", "#ff7800", "#f8e621"], ax=ax2, **defaults) _cleanup_xaxis(ax1), _cleanup_yaxis(ax1, this_study) _cleanup_xaxis(ax2), _cleanup_yaxis(ax2, this_study) _add_legend(ax2) def plot_lit_evidence_zscore_profile( gene_metadata: str, lit_evidence: str, zscore_by_cluster_rep: str, germ_clusters: list, axes: list = None, ): """Plot heatmap of evidence and expression patterns from the literature. Most of the evidence patterns are protein based. Example ------- >>> from larval_gonad.config import read_config >>> config = read_config("config/common.yaml") >>> gene_metadata = f"references/gene_annotation_dmel_{config['tag']}.feather" >>> lit_evidence = "data/external/miriam/lit_gene_dummy_vars.tsv" >>> zscore_by_cluster_rep = "output/seurat3-cluster-wf/zscore_by_cluster_rep.feather" >>> germ_clusters = config["germ"] >>> plot_lit_expression_profile(gene_metadata, lit_evidence) """ fbgn2symbol = get_fbgn2symbol(gene_metadata) germ_evidence = _get_lit_evidence(lit_evidence)[["SP", "ES", "MS", "LS"]] this_study = list(map(lambda x: fbgn2symbol[x], _genes_w_ptraps(lit_evidence))) zscore_expression = _get_zscore_expression(zscore_by_cluster_rep).loc[:, (germ_clusters, slice(None))] df = germ_evidence.join(zscore_expression).rename(fbgn2symbol) if axes is None: _, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 8)) else: ax1, ax2 = axes defaults = dict(square=True, linewidths=0.01, linecolor="k", yticklabels=True, xticklabels=True, cbar=False) sns.heatmap(data=df.iloc[:, 4:], cmap='viridis', vmin=-3, vmax=3, ax=ax1, **defaults) sns.heatmap(data=df.iloc[:, :4], cmap=["#d3d3d3", "#450457", "#f8e621"], ax=ax2, **defaults) _cleanup_xaxis_rep(ax1, germ_clusters), _cleanup_yaxis(ax1, this_study) _cleanup_xaxis(ax2), _cleanup_yaxis(ax2, this_study) _add_legend(ax2) def plot_lit_evidence_soma_profile( gene_metadata: str, lit_evidence: str, tpm_by_cluster: str, soma_clusters: list, axes: list = None, ): """Plot heatmap of evidence and expression patterns from the literature. Most of the evidence patterns are protein based. Example ------- >>> from larval_gonad.config import read_config >>> config = read_config("config/common.yaml") >>> gene_metadata = f"references/gene_annotation_dmel_{config['tag']}.feather" >>> lit_evidence = "data/external/miriam/lit_gene_dummy_vars.tsv" >>> tpm_by_cluster = "output/seurat3-cluster-wf/tpm_by_cluster.feather" >>> soma_clusters = config["soma"] >>> plot_lit_expression_soma_profile(gene_metadata, lit_evidence) """ fbgn2symbol = get_fbgn2symbol(gene_metadata) soma_evidence = _get_lit_evidence(lit_evidence)[["C", "EC", "MC", "LC", "PC", "TE"]] this_study = list(map(lambda x: fbgn2symbol[x], _genes_w_ptraps(lit_evidence))) binned_expression = _get_binned_expression(tpm_by_cluster)[soma_clusters] df = soma_evidence.join(binned_expression).rename(fbgn2symbol) if axes is None: _, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 8)) else: ax1, ax2 = axes defaults = dict(square=True, linewidths=0.01, linecolor="k", yticklabels=True, cbar=False) sns.heatmap(data=df.iloc[:, :7], cmap=["#d3d3d3", "#450457", "#f8e621"], ax=ax1, **defaults) sns.heatmap(data=df.iloc[:, 7:], cmap=["#450457", "#ff7800", "#f8e621"], ax=ax2, **defaults) _cleanup_xaxis(ax1), _cleanup_yaxis(ax1, this_study) _cleanup_xaxis(ax2), _cleanup_yaxis(ax2, this_study) _add_legend(ax2) def plot_lit_evidence_zscore_soma_profile( gene_metadata: str, lit_evidence: str, zscore_by_cluster_rep: str, soma_clusters: list, axes: list = None, ): """Plot heatmap of evidence and expression patterns from the literature. Most of the evidence patterns are protein based. Example ------- >>> from larval_gonad.config import read_config >>> config = read_config("config/common.yaml") >>> gene_metadata = f"references/gene_annotation_dmel_{config['tag']}.feather" >>> lit_evidence = "data/external/miriam/lit_gene_dummy_vars.tsv" >>> zscore_by_cluster_rep = "output/seurat3-cluster-wf/zscore_by_cluster_rep.feather" >>> soma_clusters = config["soma"] >>> plot_lit_expression_soma_profile(gene_metadata, lit_evidence) """ fbgn2symbol = get_fbgn2symbol(gene_metadata) soma_evidence = _get_lit_evidence(lit_evidence)[["C", "EC", "MC", "LC", "PC", "TE"]] this_study = list(map(lambda x: fbgn2symbol[x], _genes_w_ptraps(lit_evidence))) zscore_expression = _get_zscore_expression(zscore_by_cluster_rep).loc[:, (soma_clusters, slice(None))] df = soma_evidence.join(zscore_expression).rename(fbgn2symbol) if axes is None: _, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 8)) else: ax1, ax2 = axes defaults = dict(square=True, linewidths=0.01, linecolor="k", yticklabels=True, xticklabels=True, cbar=False) sns.heatmap(data=df.iloc[:, 6:], cmap='viridis', vmin=-3, vmax=3, ax=ax1, **defaults) sns.heatmap(data=df.iloc[:, :6], cmap=["#d3d3d3", "#450457", "#f8e621"], ax=ax2, **defaults) _cleanup_xaxis_rep(ax1, soma_clusters), _cleanup_yaxis(ax1, this_study) _cleanup_xaxis(ax2), _cleanup_yaxis(ax2, this_study) _add_legend(ax2) def _get_lit_evidence(lit_evidence): return pd.read_csv(lit_evidence, sep="\t", index_col=0).drop("References", axis=1) def _genes_w_ptraps(lit_evidence): return ( pd.read_csv(lit_evidence, sep="\t", index_col=0) .query("References == 'This study'") .index.tolist() ) def _get_binned_expression(tpm_by_cluster): """Bin expression. { 0 not expressed: TPM < 1, 1 low expression: 1 ≤ TPM < 5, 2 expressed: 5 ≤ TPM < Inf } """ return feather_to_cluster_matrix(tpm_by_cluster).apply( lambda x: pd.cut(x, [0, 1, 5, np.inf], labels=[0, 1, 2], right=False, include_lowest=True), axis=1, ) def _get_zscore_expression(zscore_by_cluster_rep): return pd.read_feather(zscore_by_cluster_rep).set_index(["FBgn", "cluster", "rep"]).squeeze().unstack([-2, -1]) def _cleanup_xaxis(ax): ax.set_xlabel("") ax.xaxis.set_ticks_position("top") return ax def _cleanup_yaxis(ax, this_study): ax.set_ylabel("") labels = [] for l in ax.get_yticklabels(): l.set(fontstyle="italic") if l.get_text() in this_study: l.set(fontweight="bold") labels.append(l) ax.set_yticklabels(labels) return ax def _add_legend(ax): off = mpatches.Patch(color="#450457", label="absent") # low = mpatches.Patch(color="#ff7800", label="low expression") high = mpatches.Patch(color="#f8e621", label="present") none = mpatches.Patch(color="#d3d3d3", label="not analyzed") ax.legend(loc="upper left", bbox_to_anchor=[1, 1], handles=[off, high, none]) return ax

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py

Python

cashweb/server/main/__init__.py

jbool24/CashWEB

da0f71956e95b70863bd8743372629609376f30b

[ "MIT" ]

null

cashweb/server/main/__init__.py

jbool24/CashWEB

da0f71956e95b70863bd8743372629609376f30b

[ "MIT" ]

null

cashweb/server/main/__init__.py

jbool24/CashWEB

da0f71956e95b70863bd8743372629609376f30b

[ "MIT" ]

null

# ./server/main/__init__.py

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py

Python

accounts/admin.py

Ashwin-Pokharel/BudgetApp1

d4a253204d6f89085ff280fb5b6744c4de1ccf5f

[ "MIT" ]

null

accounts/admin.py

Ashwin-Pokharel/BudgetApp1

d4a253204d6f89085ff280fb5b6744c4de1ccf5f

[ "MIT" ]

6

2019-12-10T19:40:43.000Z

2021-09-22T18:06:25.000Z

accounts/admin.py

Ashwin-Pokharel/BudgetApp1

d4a253204d6f89085ff280fb5b6744c4de1ccf5f

[ "MIT" ]

null

from django.contrib import admin from .models import Category , Incomes , Expense # Register your models here. admin.site.register(Category) admin.site.register(Incomes) admin.site.register(Expense)

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c150fc770b7e569e4a8db75602e63bea6634af5d

36

py

Python

pidf/__init__.py

jasmine125/pidf

f2ad8d55621346c3f52d200c2e2996be921d9c2a

[ "MIT" ]

null

pidf/__init__.py

jasmine125/pidf

f2ad8d55621346c3f52d200c2e2996be921d9c2a

[ "MIT" ]

8

2020-02-22T18:32:42.000Z

2021-09-22T18:38:21.000Z

rules_gestor/__init__.py

DavidPDP/hand-game-backend

5fe8bdc1d7cf86d4c7c6c456d427b99de925e28f

[ "Apache-2.0" ]

null

# This page intentionally left blank

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c1731724f7b1ae9f0d51ba9038007168291e4043

69

py

Python

degmo/vae/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

2

2019-11-21T15:50:59.000Z

2019-12-17T02:44:19.000Z

degmo/vae/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

null

degmo/vae/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

1

2021-07-02T05:49:29.000Z

from .vae import VAE from .fvae import FVAE from .vqvae import VQ_VAE

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py

Python

pyyadisk/__init__.py

ndrwpvlv/pyyadisk

cfc1fbb86027ccd20f59c49c87e87d3b2c495d2f

[ "MIT" ]

1

2021-08-18T08:49:35.000Z

pyyadisk/__init__.py

ndrwpvlv/pyyadisk

cfc1fbb86027ccd20f59c49c87e87d3b2c495d2f

[ "MIT" ]

null

pyyadisk/__init__.py

ndrwpvlv/pyyadisk

cfc1fbb86027ccd20f59c49c87e87d3b2c495d2f

[ "MIT" ]

1

2021-08-18T08:49:46.000Z

from .yandexdisk import YandexDisk

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py

Python

tests/test_assert_equal_dataframe.py

nmbrgts/py-dataframe-show-reader

9ed743557927c3d6af21d99e542979074916788b

[ "Apache-2.0" ]

1

2019-10-15T01:05:25.000Z

tests/test_assert_equal_dataframe.py

nmbrgts/py-dataframe-show-reader

9ed743557927c3d6af21d99e542979074916788b

[ "Apache-2.0" ]

2

2019-08-09T00:45:01.000Z

2019-09-20T16:50:26.000Z

tests/test_assert_equal_dataframe.py

nmbrgts/py-dataframe-show-reader

9ed743557927c3d6af21d99e542979074916788b

[ "Apache-2.0" ]

2

2021-10-20T00:10:29.000Z

2022-02-21T09:33:16.000Z

# Copyright 2019 The DataFrame Show Reader Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import pytest from pyspark.sql import DataFrame, SparkSession from pytest import raises from dataframe_show_reader.assert_equal_dataframe import assert_equal from dataframe_show_reader.dataframe_show_reader import show_output_to_df @pytest.fixture(scope="session") def expected_df(spark_session: SparkSession) -> DataFrame: return show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | |2a |2b | +-----+-----+ """, spark_session) def test_assert_equal_when_dfs_are_equal( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | |2a |2b | +-----+-----+ """, spark_session) # No error or assertion failure should be thrown: assert_equal(expected_df, actual_df) def test_assert_equal_when_actual_df_has_different_value( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | |2a |99999| +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df, verbose=True) assert 'The DataFrames differ.' == str(exception_info.value) def test_assert_equal_when_column_order_is_different( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_b|col_a| +-----+-----+ |1b |1a | |2b |2a | +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrame schemas differ.' == str(exception_info.value) def test_assert_equal_when_dfs_are_equal_and_column_is_null( spark_session: SparkSession ): actual_df = show_output_to_df(""" +------+ |col_a | [string] +------+ |null | +------+ """, spark_session) expected_df = show_output_to_df(""" +------+ |col_a | [string] +------+ |null | +------+ """, spark_session) # No error or assertion failure should be thrown: assert_equal(expected_df, actual_df) def test_assert_equal_when_actual_df_has_too_few_rows( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df, verbose=False) assert 'The DataFrames differ.' == str(exception_info.value) def test_assert_equal_when_actual_df_has_too_many_rows( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | |2a |2b | |3a |3b | +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrames differ.' == str(exception_info.value) def test_assert_equal_when_actual_df_has_duplicate_last_row( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_b| +-----+-----+ |1a |1b | |2a |2b | |2a |2b | +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrames differ.' == str(exception_info.value) def test_assert_equal_when_actual_df_has_too_few_columns( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+ |col_a| +-----+ |1a | |2a | +-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrame schemas differ.' == str(exception_info.value) def test_assert_equal_when_actual_df_has_too_many_columns( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+-----+ |col_a|col_b|col_c| +-----+-----+-----+ |1a |1b |1c | |2a |2b |2c | +-----+-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrame schemas differ.' == str(exception_info.value) def test_assert_equal_when_column_names_do_not_match( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+-----+ |col_a|col_x| +-----+-----+ |1a |1b | |2a |2b | +-----+-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrame schemas differ.' == str(exception_info.value) def test_assert_equal_when_data_types_do_not_match( spark_session: SparkSession): """ Test the fairly subtle case where one DF contains an INT and the other contains a BIGINT, which can be an issue if we try to write a DF containing a BIGINT into a previously existing Hive table defined to contain an INT. """ actual_df = show_output_to_df(""" +------+ |col_a | [bigint] +------+ |1 | +------+ """, spark_session) expected_df = show_output_to_df(""" +------+ |col_a | [int ] +------+ |1 | +------+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(expected_df, actual_df) assert 'The DataFrame schemas differ.' == str(exception_info.value) def test_assert_equal_when_actual_df_is_none( expected_df, spark_session: SparkSession): with raises(AssertionError) as exception_info: assert_equal(expected_df, None) assert 'The actual DataFrame is None, but the expected DataFrame is not.' \ == str(exception_info.value) def test_assert_equal_when_expected_df_is_none( expected_df, spark_session: SparkSession): actual_df = show_output_to_df(""" +-----+ |col_a| +-----+ |1a | +-----+ """, spark_session) with raises(AssertionError) as exception_info: assert_equal(None, actual_df) assert 'The expected DataFrame is None, but the actual DataFrame is not.' \ == str(exception_info.value) def test_assert_equal_when_both_dfs_are_none( expected_df, spark_session: SparkSession): # No error or assertion failure should be thrown: assert_equal(None, None)

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py

Python

sacrerouge/datasets/duc_tac/tac2009/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

81

2020-07-10T15:45:08.000Z

2022-03-30T12:19:11.000Z

sacrerouge/datasets/duc_tac/tac2009/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

29

2020-08-03T21:50:45.000Z

2022-02-23T14:34:16.000Z

sacrerouge/datasets/duc_tac/tac2009/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

7

2020-08-14T09:54:08.000Z

2022-03-30T12:19:25.000Z

from sacrerouge.datasets.duc_tac.tac2009.subcommand import TAC2009Subcommand

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py

Python

python/sherpa/__init__.py

MattRickS/sherpa

a39128323b3aeb6434e5113b2b7be6eca90066e2

[ "MIT" ]

1

2018-11-03T19:17:50.000Z

python/sherpa/__init__.py

MattRickS/sherpa

a39128323b3aeb6434e5113b2b7be6eca90066e2

[ "MIT" ]

null

python/sherpa/__init__.py

MattRickS/sherpa

a39128323b3aeb6434e5113b2b7be6eca90066e2

[ "MIT" ]

null

from sherpa.exceptions import FormatError, ParseError, PathResolverError from sherpa.resolver import PathResolver

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py

Python

python/testData/types/AwaitOnImportedCoroutine/mycoroutines.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/types/AwaitOnImportedCoroutine/mycoroutines.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/types/AwaitOnImportedCoroutine/mycoroutines.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from typing import Any async def mycoroutine() -> Any: pass

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py

Python

homeworks/yan_romanovich/hw05/level05.py

tgrx/Z22

b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff

[ "Apache-2.0" ]

null

homeworks/yan_romanovich/hw05/level05.py

tgrx/Z22

b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff

[ "Apache-2.0" ]

8

2019-11-15T18:15:56.000Z

2020-02-03T18:05:05.000Z

homeworks/yan_romanovich/hw05/level05.py

tgrx/Z22

b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff

[ "Apache-2.0" ]

null

def unique(collection): return len(collection) == len(set(collection))

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0

1

0

5