xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

49dc098c0c8330e1a6b91e5b418f7367a2f98e64

77

py

Python

arxivpy/__init__.py

titipata/arxiv_parser

96e8fde4515b3fdb1896241c5f0b0d9e737b8aec

[ "MIT" ]

53

2016-09-28T17:13:01.000Z

2022-03-18T03:01:11.000Z

arxivpy/__init__.py

titipata/arxiv_parser

96e8fde4515b3fdb1896241c5f0b0d9e737b8aec

[ "MIT" ]

6

2016-09-28T05:37:43.000Z

2019-03-08T16:51:23.000Z

arxivpy/__init__.py

titipata/arxiv_parser

96e8fde4515b3fdb1896241c5f0b0d9e737b8aec

[ "MIT" ]

20

2016-09-29T05:01:53.000Z

2022-03-18T03:01:16.000Z

from .arxiv import query, generate_query, generate_query_from_text, download

38.5

76

0.857143

11

77

5.636364

0.636364

0.419355

0.580645

0

0.090909

77

1

77

0.885714

0

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

49fdea2d36afc8a87f03008c9fb403933400d510

1,411

py

Python

pytealutils/applications/defaults.py

barnjamin/pyteal-utils

b4dcce3801aeb2a08ff171762d57f37ab8cbb5c1

[ "MIT" ]

6

2021-11-08T13:20:53.000Z

2022-01-05T13:23:42.000Z

pytealutils/applications/defaults.py

gmcgoldr/pyteal-utils

3716ff74312d5136df89456e3db711037edccdcb

[ "MIT" ]

null

pytealutils/applications/defaults.py

gmcgoldr/pyteal-utils

3716ff74312d5136df89456e3db711037edccdcb

[ "MIT" ]

1

2021-12-10T12:37:53.000Z

from pyteal import Subroutine, Expr, TealType, Approve, Reject from .application import Application class DefaultApprove(Application): @staticmethod @Subroutine(TealType.uint64) def create() -> Expr: return Approve() @staticmethod @Subroutine(TealType.uint64) def update() -> Expr: ...

21.059701

62

0.630758

126

1,411

7.063492

0.174603

0.296629

0.404494

0.485393

0.850562

0.148315

0

0.022967

0.259391

1,411

66

63

21.378788

0.828708

0

0.923077

0

1

0.230769

true

0

0.038462

0.230769

0.538462

0

null

1

0

1

0

null

0

1

0

1

0

12

b717efb94d05b636e9ed03fde67aceef4563c02a

3,020

py

Python

test/test_core.py

mcieslik-mctp/moke

5768245b66d35d23bf2d2c918657aa2ce0061197

[ "MIT" ]

1

2018-11-20T20:39:28.000Z

test/test_core.py

mcieslik-mctp/moke

5768245b66d35d23bf2d2c918657aa2ce0061197

[ "MIT" ]

1

2018-12-13T21:06:54.000Z

test/test_core.py

mcieslik-mctp/moke

5768245b66d35d23bf2d2c918657aa2ce0061197

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Tests for ``moke.core`` """ import unittest import moke.core import os from moke.util import run_app class Test_util(unittest.TestCase): def test_path(self): assert moke.util.path def setUp(self): os.chdir("scripts") def tearDown(self): ...

26.964286

88

0.522848

426

3,020

3.56338

0.171362

0.071146

0.100791

0.134387

0.774045

0.746377

0.737154

0.735178

0

0.023937

0.322185

3,020

112

89

26.964286

0.717636

0.021854

0

0.759036

0

0.196877

0

0.421687

1

0.240964

false

0

0.048193

0

0.301205

0

null

0

1

0

1

0

null

0

1

0

1

0

8

3fd7144dc66d51a1d8592434bb64a49d9e5b5bbc

25,893

py

Python

src/python_pachyderm/proto/v2/identity/identity_pb2_grpc.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

57

2018-02-25T16:23:47.000Z

2022-02-08T08:48:12.000Z

src/python_pachyderm/proto/v2/identity/identity_pb2_grpc.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

209

2018-02-16T14:31:25.000Z

2022-03-15T15:24:19.000Z

src/python_pachyderm/proto/v2/identity/identity_pb2_grpc.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

23

2018-02-16T15:31:46.000Z

2022-03-09T20:41:31.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from python_pachyderm.proto.v2.identity import identity_pb2 as python__pachyderm_dot_proto_dot_v2_dot_identity_dot_identity__pb2 class APIStub(object): """...

55.924406

156

0.720233

2,461

25,893

7.067452

0.052824

0.099925

0.081757

0.104467

0.869258

0.846835

0.818433

0.815328

0.808774

0

0.009256

0.219751

25,893

462

157

56.045455

0.851656

0.044105

0

0.517413

1

0

0.069254

0.037428

0

1

0.069652

false

0

0.004975

0.032338

0.114428

0

null

0

1

0

1

0

null

0

7

3ffea17658edd656c315ff8718911b71cac901da

8,327

py

Python

forecasting/short_term_forecasting.py

nareshram256/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

9

2020-04-24T14:34:16.000Z

2022-01-25T07:16:03.000Z

forecasting/short_term_forecasting.py

casemsee/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

null

forecasting/short_term_forecasting.py

casemsee/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

7

2019-09-19T13:26:02.000Z

2021-11-27T09:53:54.000Z

# Short_term forecasting for local energy management system # Include the pv forecasting, wp forecasting, # In this forecasting system, the tensor flow will be deployed and used. # The offline training and on-line forecasting are adopted. from modelling.database.database_format import db_short_term_forecasting,one_min...

30.726937

100

0.778312

1,271

8,327

4.731707

0.064516

0.09428

0.209511

0.139009

0.889757

0.881111

0.878783

0.841204

0.79581

0.76987

0

0.006793

0.116128

8,327

271

101

30.726937

0.810326

0.090549

0

0.758974

0

0.017467

0

1

0.066667

false

0

0.015385

0

0.148718

0

null

0

1

0

1

0

1

0

null

0

8

b208b9baa3be87aab480c225cedd40b67aee0cc9

96

py

Python

palettable/colorbrewer/sequential.py

chebee7i/palettable

9e6202080837efc6ce55d9c040ffa73b47cb6795

[ "MIT" ]

null

palettable/colorbrewer/sequential.py

chebee7i/palettable

9e6202080837efc6ce55d9c040ffa73b47cb6795

[ "MIT" ]

null

palettable/colorbrewer/sequential.py

chebee7i/palettable

9e6202080837efc6ce55d9c040ffa73b47cb6795

[ "MIT" ]

1

2022-02-09T07:06:24.000Z

from .colorbrewer import _load_maps_by_type globals().update(_load_maps_by_type('sequential'))

24

50

0.833333

14

96

5.142857

0.714286

0.222222

0.277778

0.388889

0

0.0625

96

3

51

32

0.8

0

0.104167

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

b7a248dc007d30eea41405be7519737dc8451723

771

py

Python

tests/unit_tests/gov_uk_dashboards/formatting/test_round_thousands_to_1dp.py

communitiesuk/pkg_gov_uk_dashboards

b92fc51cde31d929dd11ba3acb9256b93f865986

[ "MIT" ]

1

2022-01-31T10:15:33.000Z

tests/unit_tests/gov_uk_dashboards/formatting/test_round_thousands_to_1dp.py

communitiesuk/GOV_UK_Colours

5509b452358f345b370be8fcfd708e898961c03a

[ "MIT" ]

2

2022-02-04T12:38:37.000Z

2022-03-21T09:25:27.000Z

tests/unit_tests/gov_uk_dashboards/formatting/test_round_thousands_to_1dp.py

communitiesuk/Plotly_utilities

f1dfb48bec17b3b089b2760a132ba2a31942a39a

[ "MIT" ]

1

2022-03-31T12:25:40.000Z

from gov_uk_dashboards.formatting.rounding import round_thousands_to_1dp def test_round_thousands_to_1dp_returns_rounded_billions(): assert round_thousands_to_1dp(1_234_567_890) == 1_200_000_000 assert round_thousands_to_1dp(45_678_987_654) == 45_700_000_000 def test_round_thousands_to_1dp_returns_rounded_m...

35.045455

72

0.8262

131

771

4.244275

0.244275

0.327338

0.374101

0.444245

0.766187

0.284173

0

0.170306

0.108949

771

21

73

36.714286

0.63901

0

0.615385

1

0.307692

true

0

0.076923

0

0.384615

0

null

1

0

1

0

null

0

1

0

1

0

9

b7a4a7f579b22ee53f15f355e23da97821c91ead

6,332

py

Python

pkgs/conf-pkg/src/genie/libs/conf/keychains/nxos/tests/test_keychains.py

CiscoTestAutomation/genielibs

becee8a1a85f4973e00859e3244e2c8fe45a394c

[ "Apache-2.0" ]

94

2018-04-30T20:29:15.000Z

2022-03-29T13:40:31.000Z

pkgs/conf-pkg/src/genie/libs/conf/keychains/nxos/tests/test_keychains.py

patrickboertje/genielibs

61c37aacf3dd0f499944555e4ff940f92f53dacb

[ "Apache-2.0" ]

67

2018-12-06T21:08:09.000Z

2022-03-29T18:00:46.000Z

pkgs/conf-pkg/src/genie/libs/conf/keychains/nxos/tests/test_keychains.py

patrickboertje/genielibs

61c37aacf3dd0f499944555e4ff940f92f53dacb

[ "Apache-2.0" ]

49

2018-06-29T18:59:03.000Z

2022-03-10T02:07:59.000Z

#!/usr/bin/env python # import python import unittest # import genie from genie.tests.conf import TestCase from genie.conf import Genie from genie.conf.base import Testbed, Device, Interface # import genie.libs from genie.libs.conf.keychains import Keychains class test_keychains(TestCase): def test_keychains_c...

37.247059

81

0.587808

755

6,332

4.754967

0.111258

0.053482

0.068802

0.083287

0.909749

0.901393

0

0.030501

0.275111

6,332

169

82

37.467456

0.751634

0.010265

0

0.856061

0

0.120549

0.007345

0

0.204545

1

0.022727

false

0

0.037879

0

0.068182

0

null

0

1

0

1

0

null

0

7

b7abd8c8cbd6e992516860ba84ea777cc38c24ed

147

py

Python

srcWatteco/TICs/__init__.py

OStephan29/Codec-Python

76d651bb23daf1d9307c8b84533d9f24a59cea28

[ "BSD-3-Clause" ]

1

2022-01-12T15:46:58.000Z

srcWatteco/TICs/__init__.py

OStephan29/Codec-Python

76d651bb23daf1d9307c8b84533d9f24a59cea28

[ "BSD-3-Clause" ]

null

srcWatteco/TICs/__init__.py

OStephan29/Codec-Python

76d651bb23daf1d9307c8b84533d9f24a59cea28

[ "BSD-3-Clause" ]

1

2021-10-05T08:40:15.000Z

from ._TIC_Tools import * from ._TIC_Types import * from .TIC_CBE import * from .TIC_STD import * from .TIC_PMEPMI import * from .TIC_ICE import *

21

25

0.755102

24

147

4.291667

0.375

0.407767

0.631068

0

0.163265

147

6

26

24.5

0.837398

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b7e38ecd30b1b096ee4a54bbb0c3790a89cf0061

4,650

py

Python

scripts/rpc/deploy_contract.py

gl12138/ann

9ebdae5bf08e2402881fbfb7eabbb06fc7295fdd

[ "Apache-2.0" ]

44

2018-08-16T09:50:36.000Z

2019-11-18T11:29:00.000Z

scripts/rpc/deploy_contract.py

gl12138/ann

9ebdae5bf08e2402881fbfb7eabbb06fc7295fdd

[ "Apache-2.0" ]

5

2019-02-13T07:12:46.000Z

2019-11-22T05:45:49.000Z

scripts/rpc/deploy_contract.py

gl12138/ann

9ebdae5bf08e2402881fbfb7eabbb06fc7295fdd

[ "Apache-2.0" ]

13

2018-08-28T09:30:03.000Z

2019-11-13T05:35:13.000Z

from requests import Session 0x0104994735dfcf60eb43bb5286334a7a83b622685fc3feb92247c65cc4b4cd55497fbc767f2e59a222abb650e5f411d9f7b6266b49439cdb348d859e33e89846bcaf d = { 'nonce': "1", 'from': '0x', 'value': "100000", 'pubkey': '0x0104994735dfcf60eb43bb5286334a7a83b622685fc3feb92247c65cc4b4cd55497fbc76...

244.736842

4,109

0.970323

38

4,650

118.5

0.789474

0

0.821538

0.015484

4,650

18

4,110

258.333333

0.16208

0

0.927957

0.909247

0

1

0.938065

0

1

0

false

0

0.071429

0

0.071429

0

1

null

0

1

0

1

0

1

null

1

0

9

4d26479da4ea9aab165f20ff1147d7f039b817a2

157

py

Python

app/generators/__init__.py

LizaKoval/task_1

197981e7fcc22c7d168f1105f283c6bdbd570d7d

[ "Unlicense" ]

null

app/generators/__init__.py

LizaKoval/task_1

197981e7fcc22c7d168f1105f283c6bdbd570d7d

[ "Unlicense" ]

null

app/generators/__init__.py

LizaKoval/task_1

197981e7fcc22c7d168f1105f283c6bdbd570d7d

[ "Unlicense" ]

1

2022-03-13T14:41:28.000Z

import app.generators.abstractstatsservice, app.generators.general_stats_generator, app.generators.usage_stats_generator, app.generators.bike_stats_generator

157

0.904459

19

157

7.157895

0.473684

0.382353

0.25

0.397059

0

0.025478

157

1

157

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

4d63bfaa581a01634e7e689ce4b388d88d073c99

14,294

py

Python

snypy/teams/tests/test_team_snippet_permissions.py

sterapps/snypy-backend

e4733a1b7bf041c79c66ce74e64cc428d3c6ba5d

[ "MIT" ]

2

2018-06-21T07:51:30.000Z

2019-06-01T14:17:07.000Z

snypy/teams/tests/test_team_snippet_permissions.py

nezhar/snypy-backend

0673b7dc7dc8b730639e0f634dcaa8b8178151e0

[ "MIT" ]

33

2018-05-10T10:37:46.000Z

2021-10-30T11:07:22.000Z

snypy/teams/tests/test_team_snippet_permissions.py

sterapps/snypy-backend

e4733a1b7bf041c79c66ce74e64cc428d3c6ba5d

[ "MIT" ]

3

2019-06-12T08:53:37.000Z

2020-10-28T17:21:02.000Z

import json from django.contrib.auth.models import Permission from django.urls import reverse from core.tests import BaseAPITestCase from snippets.models import Snippet from teams.models import Team, UserTeam class BaseTeamApiTestCase(BaseAPITestCase): url = reverse("snippet-list") def setUp(self): ...

42.165192

116

0.708339

1,823

14,294

5.39989

0.070762

0.089395

0.071312

0.100569

0.903291

0.892828

0.878302

0.856359

0.845083

0

0.01919

0.17245

14,294

338

117

42.289941

0.813002

0.046593

0

0.783186

0

0.048435

0

0.358407

1

0.141593

false

0

0.026549

0

0.199115

0

null

0

1

0

1

0

null

0

7

4d6b23c9188f3bb21de6715e0d9e3e2da7ecafd7

6,191

py

Python

mmdet/core/bbox/geometry.py

qilei123/mmdetection_rop

cbdbb2b521c94c2f3eeebb2f2069663199f679bc

[ "Apache-2.0" ]

null

mmdet/core/bbox/geometry.py

qilei123/mmdetection_rop

cbdbb2b521c94c2f3eeebb2f2069663199f679bc

[ "Apache-2.0" ]

null

mmdet/core/bbox/geometry.py

qilei123/mmdetection_rop

cbdbb2b521c94c2f3eeebb2f2069663199f679bc

[ "Apache-2.0" ]

null

import torch def bbox_overlaps(bboxes1, bboxes2, mode='iou', is_aligned=False): """Calculate overlap between two set of bboxes. If ``is_aligned`` is ``False``, then calculate the ious between each bbox of bboxes1 and bboxes2, otherwise the ious between each aligned pair of bboxes1 and bboxes2. A...

37.981595

139

0.504442

804

6,191

3.792289

0.105721

0.044605

0.054116

0.03411

0.851755

0.784847

0.762545

0.752378

0.722204

0

0.072877

0.315135

6,191

163

140

37.981595

0.646226

0.201098

0

0.839506

0

0.008172

0

0.049383

1

0.024691

false

0

0.012346

0

0.098765

0

null

0

1

0

1

0

null

0

7

4d94b51c294da1e5fc1b4d5800daeda5a4012c3a

7,753

py

Python

tests/conftest.py

akebrissman/gateway

84f8093af854418f64175dd499c021b6d71f85d2

[ "MIT" ]

null

tests/conftest.py

akebrissman/gateway

84f8093af854418f64175dd499c021b6d71f85d2

[ "MIT" ]

2

2019-10-25T18:58:18.000Z

2019-11-16T13:10:38.000Z

tests/conftest.py

akebrissman/gateway

84f8093af854418f64175dd499c021b6d71f85d2

[ "MIT" ]

2

2019-10-17T09:06:09.000Z

2019-10-18T10:09:13.000Z

import pytest import os from datetime import datetime, timedelta from jose import jwt from gateway import create_app from gateway import db from gateway.models.firebase import FirebaseModel def read_file(file_name: str) -> str: try: f = open(file_name, "r") data = f.read() f.close() e...

29.934363

89

0.608668

995

7,753

4.603015

0.127638

0.030568

0.036681

0.041921

0.850437

0.834498

0.829258

0.814629

0.806769

0

0.032319

0.253708

7,753

258

90

30.050388

0.759246

0.166129

0

0.739884

0

0.17009

0

0.003876

0

1

0.092486

false

0

0.040462

0

0.17341

0

null

0

1

0

1

0

null

0

7

12a6d345ea7c2b866dc1c0b193cd833d6cdbbcb2

4,883

py

Python

networkapi/api_equipment/v4/tests/sanity/test_equipment_delete.py

vinicius-marinho/GloboNetworkAPI

94651d3b4dd180769bc40ec966814f3427ccfb5b

[ "Apache-2.0" ]

73

2015-04-13T17:56:11.000Z

2022-03-24T06:13:07.000Z

networkapi/api_equipment/v4/tests/sanity/test_equipment_delete.py

leopoldomauricio/GloboNetworkAPI

3b5b2e336d9eb53b2c113977bfe466b23a50aa29

[ "Apache-2.0" ]

99

2015-04-03T01:04:46.000Z

2021-10-03T23:24:48.000Z

networkapi/api_equipment/v4/tests/sanity/test_equipment_delete.py

shildenbrand/GloboNetworkAPI

515d5e961456cee657c08c275faa1b69b7452719

[ "Apache-2.0" ]

64

2015-08-05T21:26:29.000Z

2022-03-22T01:06:28.000Z

# -*- coding: utf-8 -*- import logging from django.test.client import Client from networkapi.test.test_case import NetworkApiTestCase log = logging.getLogger(__name__) class EquipmentDeleteTestCase(NetworkApiTestCase): fixtures = [ 'networkapi/system/fixtures/initial_variables.json', 'networka...

35.904412

76

0.676224

536

4,883

5.958955

0.164179

0.140889

0.095805

0.146525

0.868503

0.857858

0.849718

0.825297

0.80025

0

0.017277

0.217694

4,883

135

77

36.17037

0.818848

0.043621

0

0.78125

0

0.436493

0.364281

0

1

0.072917

false

0.020833

0.03125

0

0.145833

0

null

0

1

0

1

0

null

0

7

12e9bdc0be320959bdcf6f251049975fade2cea0

4,155

py

Python

netbox/extras/migrations/0036_contenttype_filters_to_q_objects.py

BrnoPCmaniak/netbox

7b517abdb68a6324950dfd0375861163c7bfff00

[ "Apache-2.0" ]

2

2021-06-02T03:00:05.000Z

2021-07-30T18:52:32.000Z

netbox/extras/migrations/0036_contenttype_filters_to_q_objects.py

emersonfelipesp/netbox

fecca5ad83fb6b48a2f15982dfd3242653f105f9

[ "Apache-2.0" ]

4

2021-06-08T22:29:06.000Z

2022-03-12T00:48:51.000Z

netbox/extras/migrations/0036_contenttype_filters_to_q_objects.py

emersonfelipesp/netbox

fecca5ad83fb6b48a2f15982dfd3242653f105f9

[ "Apache-2.0" ]

1

2018-12-05T12:03:21.000Z

# Generated by Django 2.2.8 on 2020-01-15 21:18 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('extras', '0035_deterministic_ordering'), ] operations = [ migrations.AlterField( model_name='cu...

103.875

857

0.638026

455

4,155

5.584615

0.206593

0.099174

0.102322

0.153483

0.770563

0.749311

0.731208

0

0.005237

0.126835

4,155

39

858

106.538462

0.695149

0.01083

0

0.424242

1

0

0.411392

0.035784

0

1

0

false

0

0.060606

0

0.151515

0

null

0

1

0

1

0

1

0

null

0

7

12ecd07de05a69ba95f69272f3f91241bc10e50a

4,626

py

Python

lightseq/training/ops/pytorch/layer_base.py

hutao965/lightseq

0e3050c4f872ce3581b663a055be032c72102196

[ "Apache-2.0" ]

1

2022-03-27T17:16:16.000Z

lightseq/training/ops/pytorch/layer_base.py

iRmantou/lightseq

9a617306fa711a3d6a25ef3eab9bfbe408692189

[ "Apache-2.0" ]

null

lightseq/training/ops/pytorch/layer_base.py

iRmantou/lightseq

9a617306fa711a3d6a25ef3eab9bfbe408692189

[ "Apache-2.0" ]

null

from dataclasses import dataclass from torch import nn from lightseq.training.ops.pytorch.util import MODEL_ARCH, check_config class TransformerEncoderLayerBase(nn.Module): """Initialize the Lightseq Transformer Encoder Layer. Static variable: layer_id: The layer-index counter starting from 0 and inc...

38.87395

122

0.648725

568

4,626

5.163732

0.223592

0.040914

0.032731

0.038868

0.876236

0

0.010148

0.297017

4,626

118

123

39.20339

0.891759

0.461089

0

0.823529

0

0.048593

0

1

0.044118

false

0

0.044118

0

0.220588

0

null

0

1

0

1

0

null

0

7

42295055d024cef7149d4ff8c7380724e12b1cd1

185

py

Python

Python/String_Split_and_Join/main.py

hugolribeiro/hackerrank_exercises

d2757b24479c26ec39e01091e3a15e8980e97864

[ "MIT" ]

null

Python/String_Split_and_Join/main.py

hugolribeiro/hackerrank_exercises

d2757b24479c26ec39e01091e3a15e8980e97864

[ "MIT" ]

null

Python/String_Split_and_Join/main.py

hugolribeiro/hackerrank_exercises

d2757b24479c26ec39e01091e3a15e8980e97864

[ "MIT" ]

null

def split_and_join(line): # write your code here line_splitted = line.split(' ') return ('-').join(line_splitted) # Or in one line: # return ('-').join(line.split(' ')

23.125

36

0.610811

25

185

4.36

0.56

0.220183

0.256881

0

0.210811

185

7

37

26.428571

0.746575

0.378378

0

0.018018

0

0.142857

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

424d6488a491c011bfe9dcae8522f6f5123e6c67

169

py

Python

tests/parser/true_negation.4b.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/true_negation.4b.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/true_negation.4b.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ up(L,0) | -up(L,0) :- latch(L). latch(a). latch(b). latch(c). """ output = """ up(L,0) | -up(L,0) :- latch(L). latch(a). latch(b). latch(c). """

11.266667

32

0.443787

30

169

2.5

0.3

0.16

0.213333

0.16

0.853333

0

0.030075

0.213018

169

14

33

12.071429

0.533835

0

0.833333

0

0.805031

0

1

0

false

0

null

0

1

0

1

0

1

0

1

0

null

0

9

c41c430f5eeea4516f2cd6f8fab39f65275ba2fc

141

py

Python

src/opendr/perception/object_detection_2d/utils/__init__.py

passalis/demos

d8aeb045ee1832418fa232bc1c73783d72d10cf7

[ "Apache-2.0" ]

1

2021-08-18T22:07:40.000Z

src/opendr/perception/object_detection_2d/utils/__init__.py

passalis/demos

d8aeb045ee1832418fa232bc1c73783d72d10cf7

[ "Apache-2.0" ]

null

src/opendr/perception/object_detection_2d/utils/__init__.py

passalis/demos

d8aeb045ee1832418fa232bc1c73783d72d10cf7

[ "Apache-2.0" ]

null

from .eval_utils import DetectionDatasetCOCOEval from .eval_utils import * from .vis_utils import * __all__ = ['DetectionDatasetCOCOEval', ]

28.2

48

0.808511

15

141

7.133333

0.466667

0.308411

0.242991

0.35514

0

0.113475

141

4

49

35.25

0.856

0

0.170213

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

c4868b8da1cb2e85dae94b57dea847fa3a54f5d1

339

py

Python

django_sso_app/models.py

paiuolo/django-sso-app

75b96c669dc0b176dc77e08f018a3e97d259f636

[ "MIT" ]

1

2021-11-16T15:16:08.000Z

django_sso_app/models.py

paiuolo/django-sso-app

75b96c669dc0b176dc77e08f018a3e97d259f636

[ "MIT" ]

null

django_sso_app/models.py

paiuolo/django-sso-app

75b96c669dc0b176dc77e08f018a3e97d259f636

[ "MIT" ]

null

# Importing core models in order to enable "dumpdata" from .core.apps.devices.models import * from .core.apps.groups.models import * from .core.apps.passepartout.models import * from .core.apps.profiles.models import * from .core.apps.services.models import * from .core.apps.status.models import * from .core.apps.even...

33.9

53

0.775811

50

339

5.26

0.36

0.212928

0.319392

0.456274

0.547529

0

0.112094

339

9

54

37.666667

0.873754

0.150442

0

1

0

true

0.142857

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

67617a55f2f0a2690c147e49939f871bcc5623a5

210

py

Python

filesystem_crawler/__init__.py

heliosantos/filesystem_crawler

218504f01b8ba68fee7f6397c0bcdf7e6d8ecd8e

[ "MIT" ]

null

filesystem_crawler/__init__.py

heliosantos/filesystem_crawler

218504f01b8ba68fee7f6397c0bcdf7e6d8ecd8e

[ "MIT" ]

null

filesystem_crawler/__init__.py

heliosantos/filesystem_crawler

218504f01b8ba68fee7f6397c0bcdf7e6d8ecd8e

[ "MIT" ]

null

from .filesystem_crawler import FilesystemCrawler from .match_rule import MatchRule from .filesystem_crawler_parsers import parse_match_rules_from_file from .filesystem_crawler_parsers import parse_match_rules

42

67

0.904762

28

210

6.357143

0.428571

0.235955

0.353933

0.314607

0.550562

0

0.07619

210

4

68

52.5

0.917526

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

678cba02f3d7195268029865efcdb8c58464e551

208

py

Python

tests/context/__init__.py

s3131212/python-safe-eval

aaeb2c181ad31f3ef38bb06db36ac9f337609ce0

[ "MIT" ]

null

tests/context/__init__.py

s3131212/python-safe-eval

aaeb2c181ad31f3ef38bb06db36ac9f337609ce0

[ "MIT" ]

null

tests/context/__init__.py

s3131212/python-safe-eval

aaeb2c181ad31f3ef38bb06db36ac9f337609ce0

[ "MIT" ]

null

import sys import os print(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))) sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))) import PythonSafeEval

34.666667

88

0.692308

31

208

4.387097

0.387097

0.264706

0.191176

0.220588

0.588235

0

0.005128

0.0625

208

6

89

34.666667

0.692308

0

0.038278

0

1

0

true

0

0.6

0

0.6

0.2

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

67924e32ae82fd933bb5781e9649adfe17f0c816

26,518

py

Python

my_functions1.py

skoltech-nlp/coqas

bf0d8d3d1fffa0039114d7d64bacc020f5085c66

[ "Apache-2.0" ]

1

2021-12-02T09:19:39.000Z

my_functions1.py

skoltech-nlp/coqas

bf0d8d3d1fffa0039114d7d64bacc020f5085c66

[ "Apache-2.0" ]

2

2021-04-14T13:46:09.000Z

2021-04-14T13:49:29.000Z

my_functions1.py

skoltech-nlp/coqas

bf0d8d3d1fffa0039114d7d64bacc020f5085c66

[ "Apache-2.0" ]

null

def do_sum(number1, number2): return number1 + number2 import os.path import torch import sys import spacy import en_core_web_sm # for extractor class sys.path.append('/home/vika/targer') sys.path.append('/notebook/cqas') from src.factories.factory_tagger import TaggerFactory from src.layers import layer_context...

45.407534

181

0.563391

3,177

26,518

4.519043

0.089078

0.025075

0.03009

0.02605

0.840914

0.815909

0.804695

0.795222

0.78359

0.77551

0

0.012874

0.323365

26,518

584

182

45.407534

0.787271

0.050645

0

0.770588

0

0.122499

0.015432

0

1

0.05098

false

0

0.023529

0.009804

0.14902

0.147059

0

null

0

1

0

1

0

null

0

7

db352a6fb594d925279af150baee24c2400c9483

77

py

Python

learn_python_packaging/text.py

indranisen/learn_python_packaging

83912030ffe0281af83069e612f2386d25e65f10

[ "MIT" ]

null

learn_python_packaging/text.py

indranisen/learn_python_packaging

83912030ffe0281af83069e612f2386d25e65f10

[ "MIT" ]

null

learn_python_packaging/text.py

indranisen/learn_python_packaging

83912030ffe0281af83069e612f2386d25e65f10

[ "MIT" ]

null

def learn(): return 'You Have Successfully Learned Python Packaging now'

25.666667

63

0.753247

10

77

5.8

1

0

0.181818

77

2

64

38.5

0.920635

0

0.649351

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

e1f055c9b64ae4cf48a9b798e7e8bab1737505b8

131

py

Python

forks/baselines/baselines/bench/__init__.py

AndrewPaulChester/sage-code

9fe676bfbcbc6f642eca29b30a1027fba2a426a0

[ "MIT" ]

null

forks/baselines/baselines/bench/__init__.py

AndrewPaulChester/sage-code

9fe676bfbcbc6f642eca29b30a1027fba2a426a0

[ "MIT" ]

null

forks/baselines/baselines/bench/__init__.py

AndrewPaulChester/sage-code

9fe676bfbcbc6f642eca29b30a1027fba2a426a0

[ "MIT" ]

null

# flake8: noqa F403 from forks.baselines.baselines.bench.benchmarks import * from forks.baselines.baselines.bench.monitor import *

32.75

56

0.816794

17

131

6.294118

0.588235

0.168224

0.336449

0.504673

0.598131

0

0.033613

0.091603

131

3

57

43.666667

0.865546

0.129771

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

c04482dd1905856cc6b2e8db56aeb99f435b3c35

12,856

py

Python

tools/git-importer/git_importer/tests.py

thewizardplusplus/wizard-diary

a41b110d095a9060449da23c7c19fc4cd47e27f4

[ "MIT" ]

null

tools/git-importer/git_importer/tests.py

thewizardplusplus/wizard-diary

a41b110d095a9060449da23c7c19fc4cd47e27f4

[ "MIT" ]

242

2015-01-11T23:16:33.000Z

2022-03-06T22:54:11.000Z

tools/git-importer/git_importer/tests.py

thewizardplusplus/wizard-diary

a41b110d095a9060449da23c7c19fc4cd47e27f4

[ "MIT" ]

null

import unittest import datetime import sys from . import input_ from . import process from . import format_ class TestProcessCommitMessage(unittest.TestCase): def test_empty_message(self): expected_result = {} self.assertEqual(process._process_commit_message( '43065958923a14a05936887cc...

35.221918

94

0.574751

1,156

12,856

6.205882

0.074394

0.064399

0.087817

0.11918

0.889323

0.854614

0.816978

0.809451

0.799833

0.765821

0

0.140147

0.323429

12,856

364

95

35.318681

0.68464

0

0.73125

0

0.32584

0.08702

0

0.1

1

0.065625

false

0

0.01875

0

0.10625

0

null

0

1

0

1

0

null

0

7

c06a2b9213572cede6ddff41228e4ed4752fb369

2,171

py

Python

eventtig/tests/test_event_load_yaml_file.py

eventtig/eventtig-gitengine

b1e619d8385691b4b61dc4dd33b6cb08b9ad56cc

[ "MIT" ]

null

eventtig/tests/test_event_load_yaml_file.py

eventtig/eventtig-gitengine

b1e619d8385691b4b61dc4dd33b6cb08b9ad56cc

[ "MIT" ]

null

eventtig/tests/test_event_load_yaml_file.py

eventtig/eventtig-gitengine

b1e619d8385691b4b61dc4dd33b6cb08b9ad56cc

[ "MIT" ]

null

import pytest from eventtig.event import Event from eventtig.exceptions import EndIsBeforeStartException def test_start_1(): event = Event() event.load_from_yaml_data( "id", {"start": "2021-01-03 07:08", "end": "2021-01-03 08:08"}, "events/id/event.yaml", ) assert event.start_...

27.1375

67

0.625979

319

2,171

4.050157

0.131661

0.255418

0.247678

0.088235

0.805728

0.801858

0

0.093521

0.24643

2,171

79

68

27.481013

0.69621

0.013819

0

0.716418

0

0.132305

0

0.447761

1

0.074627

false

0

0.044776

0

0.119403

0

null

1

0

1

0

1

0

null

0

1

0

10

2229eb95ee390baf47c1a861d5cabcc54a1e9cf4

725

py

Python

tests/test_provider_camptocamp_puppetdb.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

tests/test_provider_camptocamp_puppetdb.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

tests/test_provider_camptocamp_puppetdb.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# tests/test_provider_camptocamp_puppetdb.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:25:11 UTC) def test_provider_import(): import terrascript.provider.camptocamp.puppetdb def test_resource_import(): from terrascript.resource.camptocamp.puppetdb import puppetdb_node # TODO: Shortcut...

29

80

0.754483

95

725

5.642105

0.6

0.16791

0.19403

0.20709

0.160448

0

0.024351

0.150345

725

24

81

30.208333

0.845779

0.706207

0

1

0

0.041667

0

1

0.5

true

0

1

0

1.5

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

1

0

8

3f105db3d8daa855d45e55de6f239a61b5036acd

36,123

py

Python

adjutant/actions/v1/tests/test_user_actions.py

knikolla/adjutant

ad19ed13b65b583e65b5a19e04a0f0403c366b09

[ "Apache-2.0" ]

null

adjutant/actions/v1/tests/test_user_actions.py

knikolla/adjutant

ad19ed13b65b583e65b5a19e04a0f0403c366b09

[ "Apache-2.0" ]

null

adjutant/actions/v1/tests/test_user_actions.py

knikolla/adjutant

ad19ed13b65b583e65b5a19e04a0f0403c366b09

[ "Apache-2.0" ]

1

2022-02-16T22:26:15.000Z

# Copyright (C) 2015 Catalyst IT Ltd # # 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 o...

28.669048

87

0.537552

3,452

36,123

5.422364

0.065469

0.049044

0.075168

0.088898

0.891548

0.877604

0.875628

0.86911

0.863233

0.862111

0

0.00672

0.340835

36,123

1,259

88

28.691819

0.779388

0.058633

0

0.765766

0

0.15937

0.008162

0

0.113739

1

0.027027

false

0.048423

0.009009

0

0.037162

0

null

0

1

0

1

0

null

0

7

3f25a67fcde697a2ea0a0efacc2a51a59356ddb9

16,015

py

Python

kafka_python_handler/__init__.py

ezhil-g/kafka-python-handler

4815dde8bfc974af69115cc2d3cdd2feac731a52

[ "Apache-2.0" ]

null

kafka_python_handler/__init__.py

ezhil-g/kafka-python-handler

4815dde8bfc974af69115cc2d3cdd2feac731a52

[ "Apache-2.0" ]

null

kafka_python_handler/__init__.py

ezhil-g/kafka-python-handler

4815dde8bfc974af69115cc2d3cdd2feac731a52

[ "Apache-2.0" ]

null

from kafka_python_handler.handler import Handler from kafka_python_handler.producer import Producer ...

4,003.75

15,914

0.00562

14

16,015

6.142857

0.428571

0.209302

0.348837

0.511628

0

0.994255

16,015

3

15,915

5,338.333333

0.934783

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

11

58ba1c0a5b42ccd1eebf1d15715d3d759792100d

116

py

Python

dqn_tetris/gym_tetris/envs/__init__.py

joemeyer1/keras-rl-tetris

bd24fa245ff2d7b98a6390cc4f55e34a38443642

[ "MIT" ]

null

dqn_tetris/gym_tetris/envs/__init__.py

joemeyer1/keras-rl-tetris

bd24fa245ff2d7b98a6390cc4f55e34a38443642

[ "MIT" ]

null

dqn_tetris/gym_tetris/envs/__init__.py

joemeyer1/keras-rl-tetris

bd24fa245ff2d7b98a6390cc4f55e34a38443642

[ "MIT" ]

null

from gym_tetris.envs.tetris_env import TetrisEnv from gym_tetris.envs.tetris_extrahard_env import TetrisExtraHardEnv

58

67

0.905172

17

116

5.882353

0.529412

0.14

0.26

0.34

0.46

0

0.060345

116

2

67

58

0.917431

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

58e1d46b2f2dd109c85d287273bcdd08b29e6ce1

7,072

py

Python

src/zfr/dataobjects/plan.py

nathonfowlie/python.zfr

3158fa41278e862341c2676df6a6b5924b1c27a1

[ "MIT" ]

null

src/zfr/dataobjects/plan.py

nathonfowlie/python.zfr

3158fa41278e862341c2676df6a6b5924b1c27a1

[ "MIT" ]

null

src/zfr/dataobjects/plan.py

nathonfowlie/python.zfr

3158fa41278e862341c2676df6a6b5924b1c27a1

[ "MIT" ]

null

"""Data objects used to manage test plans.""" import datetime from dataclasses import dataclass, field from typing import Dict, List, Optional from zfr.dataobjects import Comment from zfr.dataobjects.cycle import TestCycle @dataclass(frozen=True) class Attachment: """Represents a file attachment on ...

32.440367

81

0.64918

863

7,072

5.244496

0.15759

0.108705

0.172117

0.174989

0.834512

0.795404

0.788997

0.759611

0.741935

0

0.000738

0.233739

7,072

217

82

32.589862

0.834471

0.133484

0

0.589286

0

1

0

true

0

0.089286

0

0.928571

0

null

0

1

0

null

0

1

0

1

0

9

4504296cfb9b5ea548c82947cd2a4afa1c2a1a29

2,751

py

Python

ikibardin/power-fist-segmentation/power_fist/models/segmentation/selim_zoo/__init__.py

SpaceNetChallenge/SpaceNet_Optimized_Routing_Solutions

3fbc215de6b05904a5b54b2c7cde7e61074ae38d

[ "Apache-2.0" ]

27

2020-03-04T05:54:48.000Z

2022-01-05T07:07:44.000Z

ikibardin/power-fist-segmentation/power_fist/models/segmentation/selim_zoo/__init__.py

CosmiQ/SpaceNet_Optimized_Routing_Solutions

3fbc215de6b05904a5b54b2c7cde7e61074ae38d

[ "Apache-2.0" ]

1

2020-07-14T10:35:50.000Z

ikibardin/power-fist-segmentation/power_fist/models/segmentation/selim_zoo/__init__.py

SpaceNetChallenge/SpaceNet_Optimized_Routing_Solutions

3fbc215de6b05904a5b54b2c7cde7e61074ae38d

[ "Apache-2.0" ]

7

2020-03-07T21:42:57.000Z

2022-01-07T10:49:50.000Z

from . import unet def dn161_unet(num_classes, num_channels=3, pretrained=True): return unet.densenet_unet(seg_classes=num_classes, backbone_arch='densenet161') def dn161_unet_fatter(num_classes, num_channels=3, pretrained=True): return unet.densenet_unet(seg_classes=num_classes, backbone_arch='densenet161_...

37.175676

90

0.814976

405

2,751

5.165432

0.111111

0.172084

0.111855

0.180688

0.889101

0.854685

0.780115

0.764818

0

0.041385

0.086514

2,751

73

91

37.684932

0.791086

0

0.074518

0

1

0.486486

false

0

0.027027

0.486486

1

0

null

0

1

0

null

0

1

0

1

0

9

4515bb6c06d9aab085a62b6d98d8a701839cfc02

4,844

py

Python

test/test_ridge.py

mspronesti/qlkit

2bb4dabcf88e63c54f7c57e2e80ad2ca77a04b40

[ "Apache-2.0" ]

5

2021-12-26T15:45:00.000Z

2022-01-12T10:31:57.000Z

test/test_ridge.py

mspronesti/qlkit

2bb4dabcf88e63c54f7c57e2e80ad2ca77a04b40

[ "Apache-2.0" ]

null

test/test_ridge.py

mspronesti/qlkit

2bb4dabcf88e63c54f7c57e2e80ad2ca77a04b40

[ "Apache-2.0" ]

2

2022-01-28T22:05:50.000Z

2022-02-27T18:50:33.000Z

import numpy as np import pytest from sklearn.datasets import make_regression from sklearn.preprocessing import MinMaxScaler from qlearnkit.algorithms import QRidgeRegressor from qiskit import Aer from qiskit.utils import QuantumInstance, algorithm_globals from qiskit.circuit.library import PauliFeatureMap, ZZFeatureMa...

29.357576

83

0.640999

617

4,844

4.755267

0.142626

0.132924

0.03272

0.0818

0.857192

0.835378

0.797887

0.778459

0

0.022459

0.264657

4,844

164

84

29.536585

0.801235

0.01796

0

0.763359

0

0.08649

0.027146

0

0.030534

1

0.030534

false

0

0.061069

0

0.091603

0

null

0

1

0

1

0

null

0

7

18ade12dc32951b3256daf18ea4731d8a7aa00d9

227,630

py

Python

kubernetes/client/apis/apps_v1beta1_api.py

jraby/kubernetes-client-python

e6e7b710d0b15fbde686bc9dccf00da5951bef84

[ "Apache-2.0" ]

null

kubernetes/client/apis/apps_v1beta1_api.py

jraby/kubernetes-client-python

e6e7b710d0b15fbde686bc9dccf00da5951bef84

[ "Apache-2.0" ]

null

kubernetes/client/apis/apps_v1beta1_api.py

jraby/kubernetes-client-python

e6e7b710d0b15fbde686bc9dccf00da5951bef84

[ "Apache-2.0" ]

null

# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.7.1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os im...

51.887395

457

0.615552

24,421

227,630

5.556161

0.01339

0.041271

0.021225

0.018572

0.995718

0.994672

0.993124

0.991444

0.989314

0.987582

0

0.002167

0.304679

227,630

4,386

458

51.899225

0.855114

0.379559

0

0.862472

1

0

0.231511

0.086832

0

1

0.03191

false

0

0.003146

0

0.082697

0

null

0

1

0

1

0

null

0

8

18d525962c9868b36ec931acfdb39613123861b9

12,191

py

Python

apis/nb/clients/task_service_client/AuditApi.py

CiscoDevNet/APIC-EM-Generic-Scripts-

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

45

2016-06-09T15:41:25.000Z

2019-08-06T17:13:11.000Z

apis/nb/clients/task_service_client/AuditApi.py

CiscoDevNet/APIC-EM-Generic-Scripts

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

36

2016-06-12T03:03:56.000Z

2017-03-13T18:20:11.000Z

apis/nb/clients/task_service_client/AuditApi.py

CiscoDevNet/APIC-EM-Generic-Scripts

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

15

2016-06-22T03:51:37.000Z

2019-07-10T10:06:02.000Z

#!/usr/bin/env python #pylint: skip-file # This source code is licensed under the Apache license found in the # LICENSE file in the root directory of this project. import sys import os import urllib.request, urllib.parse, urllib.error from .models import * class AuditApi(object): def __init__(self, apiClient)...

33.4

179

0.56919

1,072

12,191

6.469216

0.13153

0.069358

0.037635

0.05018

0.866186

0.845854

0

0.339595

12,191

364

180

33.491758

0.861384

0.253794

0

0.828571

0

0.220056

0.006177

0

1

0.028571

false

0

0.028571

0

0.107143

0

null

0

1

0

1

0

null

0

7

18e8e5326073ec9a19333017c6807d2ee570d54d

40,065

py

Python

src/systems/audio_systems.py

shgoren/viewmaker

d9a7d4b05ac5126fe348c8c5217877ebcff7e2d7

[ "MIT" ]

29

2021-04-09T16:02:21.000Z

2022-03-08T13:04:45.000Z

src/systems/audio_systems.py

shgoren/viewmaker

d9a7d4b05ac5126fe348c8c5217877ebcff7e2d7

[ "MIT" ]

2

2021-06-07T14:49:17.000Z

2021-12-11T17:39:01.000Z

src/systems/audio_systems.py

shgoren/viewmaker

d9a7d4b05ac5126fe348c8c5217877ebcff7e2d7

[ "MIT" ]

9

2021-04-19T13:12:45.000Z

2022-03-07T20:50:28.000Z

""" Try some simple SimCLR inspired audio adaptations. Audio augmentations include cropping, noise, pitch, and speed. We should fit this on Librispeech. """ import os import math import random import librosa import numpy as np from dotmap import DotMap from itertools import chain from sklearn.metrics import f1_score f...

39.511834

110

0.642606

4,611

40,065

5.281718

0.076556

0.050916

0.038105

0.031206

0.833415

0.82274

0.806233

0.79178

0.78057

0.77556

0

0.008083

0.271234

40,065

1,013

111

39.550839

0.826015

0.019094

0

0.755662

0

0.037068

0.002245

0

1

0.083433

false

0

0.035757

0.009535

0.219309

0.002384

0

null

0

1

0

1

0

null

0

7

18f14181b324051e9dd51e24de62128954fe8657

2,469

py

Python

tests/kdump_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

91

2016-03-23T14:24:41.000Z

2022-03-18T20:25:37.000Z

tests/kdump_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

1,495

2017-02-15T10:49:10.000Z

2022-03-31T18:49:56.000Z

tests/kdump_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

466

2016-04-25T09:31:23.000Z

2022-03-31T06:54:17.000Z

import importlib from click.testing import CliRunner from utilities_common.db import Db class TestKdump(object): @classmethod def setup_class(cls): print("SETUP") def test_config_kdump_disable(self, get_cmd_module): (config, show) = get_cmd_module db = Db() runner = CliRu...

32.92

101

0.631835

305

2,469

4.937705

0.154098

0.106242

0.148738

0.12749

0.853918

0

0.009569

0.238153

2,469

74

102

33.364865

0.791069

0.041717

0

0.777778

0

0.060568

0

0.148148

1

0.111111

false

0

0.055556

0

0.185185

0

null

0

1

0

1

0

null

0

7

e18cad35bbce8b2d736e9dad8db4452c7baff9f5

15,873

py

Python

workalendar/tests/test_canada.py

elaav/workalendar

61a120296b5992f6a3e86741a0773b42c1d1b4fa

[ "MIT" ]

null

workalendar/tests/test_canada.py

elaav/workalendar

61a120296b5992f6a3e86741a0773b42c1d1b4fa

[ "MIT" ]

null

workalendar/tests/test_canada.py

elaav/workalendar

61a120296b5992f6a3e86741a0773b42c1d1b4fa

[ "MIT" ]

null

from datetime import date from . import GenericCalendarTest from ..core import MON from ..america.canada import ( Canada, Ontario, Quebec, BritishColumbia, Alberta, Saskatchewan, Manitoba, NewBrunswick, NovaScotia, PrinceEdwardIsland, Newfoundland, Yukon, NorthwestTerritories, Nunavut ) class CanadaTest(G...

48.690184

79

0.649405

2,059

15,873

4.965517

0.064594

0.119718

0.215962

0.217136

0.859937

0.84419

0.808881

0.779245

0.768975

0.760172

0

0.118079

0.228501

15,873

325

80

48.84

0.716805

0.150255

0

0.738007

0

0.0015

0

0.693727

1

0.077491

false

0

0.01476

0

0.195572

0

null

0

1

0

1

0

null

0

1

0

10

bee2c36e6fbffdfd5f8b69562d41508750cea95c

46

py

Python

pronotepy/ent/__init__.py

sosordinet/pronotepy

4fc4dd5920af7f6c1b9121d31c87e6c681bdd4b9

[ "MIT" ]

null

pronotepy/ent/__init__.py

sosordinet/pronotepy

4fc4dd5920af7f6c1b9121d31c87e6c681bdd4b9

[ "MIT" ]

null

pronotepy/ent/__init__.py

sosordinet/pronotepy

4fc4dd5920af7f6c1b9121d31c87e6c681bdd4b9

[ "MIT" ]

null

from .ent import * from .complex_ent import *

15.333333

26

0.73913

7

46

4.714286

0.571429

0.545455

0

0.173913

46

2

27

23

0.868421

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

8310403ade3db5515080420ef81f0bcb421b266b

15,874

py

Python

tests/ut/python/dataset/test_minddataset_exception.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

1

2022-03-05T02:59:21.000Z

tests/ut/python/dataset/test_minddataset_exception.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

null

tests/ut/python/dataset/test_minddataset_exception.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2019-2021 Huawei Technologies Co., Ltd # # 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 ...

42.106101

118

0.643694

2,096

15,874

4.583015

0.117844

0.099105

0.036436

0.039975

0.804601

0.787425

0.772434

0.753383

0.723923

0.721424

0

0.016415

0.232456

15,874

376

119

42.218085

0.771996

0.068603

0

0.71987

0

0.167562

0.013255

0

0.016287

1

0.061889

false

0.003257

0.013029

0

0.074919

0

null

0

1

0

1

0

null

0

7

8356052bca8d4987212fbd86dae4120a961fb232

756

py

Python

regressions/python/ac1.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

23

2015-04-20T08:51:00.000Z

2021-11-15T12:20:59.000Z

regressions/python/ac1.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

18

2016-03-02T15:17:42.000Z

2021-12-16T22:10:05.000Z

regressions/python/ac1.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

30

2015-05-30T15:29:17.000Z

2022-02-25T15:58:58.000Z

# Copyright (c) 2015 Microsoft Corporation """ Testing AC >>> from z3 import * >>> x, y = Reals('x y') >>> 2 - (x - y) 2 - (x - y) >>> 2 + (x - y) 2 + x - y >>> 2 - (x + y) 2 - (x + y) >>> 2 + (x + (y + y)) 2 + x + y + y >>> 2 - (x - (y - y)) 2 - (x - (y - y)) >>> 2 + (x - (y + y)) 2 + x - (y + y) >>> x * (x * x) x*x...

14.823529

42

0.332011

148

756

1.641892

0.162162

0.279835

0.296296

0.378601

0.477366

0.473251

0.452675

0

0.063366

0.332011

756

50

43

15.12

0.417822

0.851852

0

0.07767

0

1

0

true

0

0.25

0

0.25

0

1

null

1

0

1

0

null

0

1

0

7

83671206cd2a0c095de9d776dfceaf90fae0aa7b

49,206

py

Python

Webportal/webportal.py

RisjioMaujio/Portal-Of-Programs

d618328021d7e6aef98c47d40aad3e073a16ad45

[ "MIT" ]

1

2021-02-06T15:40:26.000Z

Webportal/webportal.py

RisjioMaujio/Portal-Of-Programs

d618328021d7e6aef98c47d40aad3e073a16ad45

[ "MIT" ]

null

Webportal/webportal.py

RisjioMaujio/Portal-Of-Programs

d618328021d7e6aef98c47d40aad3e073a16ad45

[ "MIT" ]

null

import webbrowser import datetime import os from tabulate import * import csv import pandas as pd import sys import os navigator_symbol = "/" if os.name == "nt": navigator_symbol = "\\" display=open(r"assets"+navigator_symbol+"website.txt","r") s=display.read() print(s) display.cl...

34.12344

151

0.565703

6,721

49,206

4.120518

0.033328

0.063046

0.062432

0.075395

0.946848

0.945331

0.927457

0.915433

0.907814

0.903517

0

0.009691

0.236638

49,206

1,441

152

34.14712

0.727597

0.007174

0

0.85906

0

0.002876

0.431157

0.001331

0

1

0.008629

false

0

0.00767

0

0.016299

0.521572

0

null

0

1

0

1

0

null

0

1

0

8

836902aba1a3bf832b49d30e30b054869d8df712

21,903

py

Python

pygs/test/integration_test/test_graph.py

ninowalker/graphserver

dc08070bc6e295986633cf510ca46a2f8d451b92

[ "BSD-3-Clause-Clear" ]

2

2016-01-02T22:09:07.000Z

2016-05-09T04:48:13.000Z

pygs/test/integration_test/test_graph.py

ninowalker/graphserver

dc08070bc6e295986633cf510ca46a2f8d451b92

[ "BSD-3-Clause-Clear" ]

null

pygs/test/integration_test/test_graph.py

ninowalker/graphserver

dc08070bc6e295986633cf510ca46a2f8d451b92

[ "BSD-3-Clause-Clear" ]

null

# as of 2010-03-21, this file is out of date and in need of a lot of love import csv import unittest from graphserver.core import Graph, Street, State, WalkOptions, Link, \ ServiceCalendar, Timezone, TimezonePeriod, \ TripBoard, Crossing, TripAlight import time...

117.128342

1,661

0.623796

2,580

21,903

5.255426

0.227132

0.006195

0.01416

0.019913

0.779114

0.742828

0.694446

0.692529

0.683384

0.678295

0

0.518835

0.151623

21,903

186

1,662

117.758065

0.210849

0.003835

0

0.333333

0

0.494454

0.010359

0

0.209302

0

null

0

0.031008

null

0.023256

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

7

55f0459607c51ee658cb3529827f958bde1eaa5e

5,030

py

Python

core_engine/utils/gcp/automl_train.py

arpitkjain7/synapse

cb4cf28351bde94f4ad7ecc5df0714cfe5d616c6

[ "Apache-2.0" ]

2

2021-08-02T07:56:38.000Z

2022-02-23T04:27:31.000Z

core_engine/utils/gcp/automl_train.py

arpitkjain7/synapse

cb4cf28351bde94f4ad7ecc5df0714cfe5d616c6

[ "Apache-2.0" ]

null

core_engine/utils/gcp/automl_train.py

arpitkjain7/synapse

cb4cf28351bde94f4ad7ecc5df0714cfe5d616c6

[ "Apache-2.0" ]

null

from google.cloud import automl # Sample variable values # project_id = "us-gcp-ame-con-be2-npd-1" # dataset_id = "TCN8344915572575698944" # display_name = "decision_caller_api_model_v1" client = automl.AutoMlClient() def train_text_classification_model( project_id: str, dataset_id: str, model_display_name: str...

31.835443

74

0.694433

583

5,030

5.692967

0.137221

0.084061

0.086773

0.072311

0.87918

0.864718

0

0.011122

0.213519

5,030

157

75

32.038217

0.827856

0.107753

0

0.777778

0

0.142091

0.053619

0

1

0.047619

false

0

0.007937

0

0.103175

0

null

0

1

0

1

0

null

0

7

36116bb3794848d039d3cf6419c8f8f09cb87318

2,320

py

Python

defach.py

IyXerXez72/ScDefachXerXez

ba820610f837c61901cc23b9d6e1f65b8e43da59

[ "Apache-2.0" ]

null

defach.py

IyXerXez72/ScDefachXerXez

ba820610f837c61901cc23b9d6e1f65b8e43da59

[ "Apache-2.0" ]

null

defach.py

IyXerXez72/ScDefachXerXez

ba820610f837c61901cc23b9d6e1f65b8e43da59

[ "Apache-2.0" ]

null

#NORECODE OKEH #MAU BISA DI DENCRIPT JUGA JAN DI RECODE DONG #^-^ MAKASIH import marshal,zlib,base64 exec(marshal.loads(zlib.decompress(base64.b32decode("PCOJ2VL3OPNEMEC7QGGWH7FW4PMESOU5DPNI5SKMGDDCNNULQGNNQLRGCDJMCZUSFCJXIZG5QHSOQQLVI6YNHZFP6QJ7KY7UJO2XWJ3QEB2KMD4EJ355XPL5NK2WOQX7C7C7WEDP72DQMQABORODLUBVUAI5AI2AUOQEPA...

386.666667

2,218

0.983621

24

2,320

95.083333

0.833333

0

0.177951

0.006897

2,320

5

2,219

464

0.8125

0.02931

0

0.960427

0

1

0

1

0

true

0

0.5

0

0.5

0

1

0

1

null

0

1

0

1

null

1

0

1

0

1

0

10

36663c71c58a196be7c3dd22f4f4404b5cdc1f50

1,294

py

Python

test/test_cleaners.py

zo-edv/py_win_unc

610b7c9ce4ea17554d04342126169b488c8ccfae

[ "MIT" ]

10

2015-08-14T06:34:28.000Z

2020-10-03T17:48:09.000Z

test/test_cleaners.py

zo-edv/py_win_unc

610b7c9ce4ea17554d04342126169b488c8ccfae

[ "MIT" ]

11

2017-01-12T23:43:56.000Z

2020-06-19T18:32:56.000Z

test/test_cleaners.py

zo-edv/py_win_unc

610b7c9ce4ea17554d04342126169b488c8ccfae

[ "MIT" ]

8

2015-09-25T20:44:33.000Z

2018-10-04T03:19:42.000Z

from unittest import TestCase from win_unc import cleaners as C class TestCleaners(TestCase): def test_clean_drive_letter(self): self.assertEqual(C.clean_drive_letter('A'), 'A') self.assertEqual(C.clean_drive_letter('A:'), 'A') self.assertEqual(C.clean_drive_letter('A:\\'), 'A') s...

44.62069

74

0.645286

180

1,294

4.427778

0.138889

0.31995

0.34128

0.44793

0.801757

0.7867

0.745295

0

0.167697

1,294

28

75

46.214286

0.740019

0

0.304348

0

0.142968

0

0.73913

1

0.130435

false

0

0.086957

0

0.26087

0

null

1

0

null

0

1

0

10

e9f90f402d62511d3d3637845498973eda72a640

97

py

Python

source/mq/test2.py

PYH-torder/robot-test

381df1e8911d8ca43c2a57613a7a75e674fea7b6

[ "MIT" ]

null

source/mq/test2.py

PYH-torder/robot-test

381df1e8911d8ca43c2a57613a7a75e674fea7b6

[ "MIT" ]

null

source/mq/test2.py

PYH-torder/robot-test

381df1e8911d8ca43c2a57613a7a75e674fea7b6

[ "MIT" ]

null

import time import dyccon # dyccon.order("spacle") dyccon.order("ade4") # dyccon.order("spacle")

16.166667

24

0.731959

13

97

5.461538

0.461538

0.464789

0.478873

0

0.011364

0.092784

97

6

25

16.166667

0.795455

0.463918

0

0.08

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

18250de3d102a272cb5342e088886076ede45dc1

13,051

py

Python

py3canvas/tests/files.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/files.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/files.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

"""Files API Tests for Version 1.0. This is a testing template for the generated FilesAPI Class. """ import unittest import requests import secrets from py3canvas.apis.files import FilesAPI from py3canvas.apis.files import File from py3canvas.apis.files import Folder from py3canvas.apis.files import Usagerights from p...

37.502874

126

0.675197

1,718

13,051

4.858556

0.061118

0.03666

0.083862

0.129148

0.922487

0.874326

0.808554

0.755601

0.610159

0.483767

0

0.000709

0.243047

13,051

347

127

37.610951

0.844215

0.405026

0

0.447917

1

0

1

0.260417

false

0.067708

0.041667

0

0.307292

0

null

0

1

0

1

0

null

0

1

0

1

0

7

a107b4984ea5f5f40052e1b8943b1d8d73349e1b

11,013

py

Python

reddit-scraper.py

lambda-labs-13-stock-price-2/reddit-scraper

999b0f8aaad3661658911e5212d0cf6d76ed3a47

[ "MIT" ]

null

reddit-scraper.py

lambda-labs-13-stock-price-2/reddit-scraper

999b0f8aaad3661658911e5212d0cf6d76ed3a47

[ "MIT" ]

null

reddit-scraper.py

lambda-labs-13-stock-price-2/reddit-scraper

999b0f8aaad3661658911e5212d0cf6d76ed3a47

[ "MIT" ]

null

[?1049h[?1h=[1;55r[?12;25h[?12l[?25h[27m[23m[m[H[2J[?25l[2;1H[1m[34m~ [3;1H~ ...

5,506.5

10,997

0.055752

314

11,013

2.267516

0.38535

0.235955

0.050562

0.05618

0.095506

0.039326

0

0.265979

0.911922

11,013

2

10,998

5,506.5

0.36701

0

null

0

null

0

null

1

0

1

0

1

0

null

0

1

0

8

a158a72bde6eaf1436d7ebef2d73332de3d17ec3

50

py

Python

instance/config.py

VirginiaNdungu1/Taarifa-App

0a04bd0ddffd43a59cb92a136645cd9c8d4a1768

[ "MIT" ]

null

instance/config.py

VirginiaNdungu1/Taarifa-App

0a04bd0ddffd43a59cb92a136645cd9c8d4a1768

[ "MIT" ]

null

instance/config.py

VirginiaNdungu1/Taarifa-App

0a04bd0ddffd43a59cb92a136645cd9c8d4a1768

[ "MIT" ]

null

NEWS_API_KEY = "aea4c50137034ada8a03fa5b0dc38047"

25

49

0.88

4

50

10.5

1

0

0.404255

0.06

50

1

50

0.489362

0

0.64

0

1

0

false

0

1

0

1

null

0

1

0

1

0

1

0

1

null

0

7

a182ef98a8de49f2c145a2fdb18e438214842cb0

286

py

Python

Python/Floor, Ceil and Rint.py

HarshitRuwali/HackerRank-Solutions

29c3ebd87723e1237866a551783bf62cf470d919

[ "MIT" ]

8

2020-07-16T12:17:16.000Z

2022-01-11T04:24:03.000Z

Python/Floor, Ceil and Rint.py

HarshitRuwali/HackerRank-Solutions

29c3ebd87723e1237866a551783bf62cf470d919

[ "MIT" ]

null

Python/Floor, Ceil and Rint.py

HarshitRuwali/HackerRank-Solutions

29c3ebd87723e1237866a551783bf62cf470d919

[ "MIT" ]

5

2020-11-30T17:40:15.000Z

2022-02-28T11:26:59.000Z

import numpy as np np.set_printoptions(sign=' ') arr = np.array(input().split(),float) print(np.floor(arr), np.ceil(arr), np.rint(arr), sep = '\n') ''' OR ''' import numpy as np arr = np.array(input().split(), float) print(np.floor(arr), np.ceil(arr), np.rint(arr), sep = '\n')

15.052632

60

0.622378

49

286

3.612245

0.387755

0.169492

0.146893

0.169492

0.700565

0

0.13986

286

18

61

15.888889

0.719512

0

0.857143

0

0.018116

0

1

0

false

0

0.285714

0

0.285714

0.428571

0

null

0

1

0

1

0

1

0

null

0

1

0

8

a190ddb88376b1056c91323b28e02c74348d9549

24

py

Python

03_Day_Operators/19.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

03_Day_Operators/19.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

03_Day_Operators/19.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

print('10' == 10) # 19

12

23

0.458333

4

24

2.75

0.75

0

0.333333

0.25

24

1

24

0.277778

0.083333

0

0.1

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

a1f63938406cb863ba16bac0c1ee0742f5a072f0

6,593

py

Python

stellarpop/bak25sep12/Sampler.py

Annarien/GravitationalLensesResources

55d653f95bfd1e19c66a64079b5af39ea1e000a5

[ "MIT" ]

null

stellarpop/bak25sep12/Sampler.py

Annarien/GravitationalLensesResources

55d653f95bfd1e19c66a64079b5af39ea1e000a5

[ "MIT" ]

null

stellarpop/bak25sep12/Sampler.py

Annarien/GravitationalLensesResources

55d653f95bfd1e19c66a64079b5af39ea1e000a5

[ "MIT" ]

null

import numpy def SimpleSample(pars,costs,deterministics,niter,cov=None,jump=None): if jump is None: stretch,offset = 3.3,3. else: stretch,offset = jump nvars = len(pars) niter = int(niter) trace = numpy.empty((niter,nvars)) logps = numpy.zeros(niter) dets = [] if cov is ...

30.243119

85

0.511452

855

6,593

3.928655

0.121637

0.039297

0.04287

0.064305

0.821375

0.812444

0.79994

0

0.030167

0.356439

6,593

217

86

30.382488

0.76149

0.007735

0

0.792929

0

0.004899

0

null

0.005051

0.020202

null

0.005051

0

null

0

1

0

1

0

null

0

1

0

8

b81468321b433ee1143d1fd4f186ba69e53d1a07

4,802

py

Python

User/tests/test_view_dynamic_pages.py

LukaszHoszowski/Django_ProEstate

36c5cc25842f4e5afebd9ff6eaa83c9457fb7a3a

[ "MIT" ]

1

2022-02-15T13:36:29.000Z

User/tests/test_view_dynamic_pages.py

LukaszHoszowski/Django_ProEstate

36c5cc25842f4e5afebd9ff6eaa83c9457fb7a3a

[ "MIT" ]

null

User/tests/test_view_dynamic_pages.py

LukaszHoszowski/Django_ProEstate

36c5cc25842f4e5afebd9ff6eaa83c9457fb7a3a

[ "MIT" ]

null

from django.urls import reverse def test_view_signup_view(client): url = reverse('User:signup') response = client.get(url) assert response.status_code == 200 assert 'Zarejestruj' in response.content.decode('UTF-8') def test_view_profile_creation_user_logged(user_A, client): client.force_login(u...

28.081871

78

0.734486

680

4,802

4.902941

0.088235

0.059988

0.062687

0.113977

0.916317

0.879124

0.847031

0.836833

0.826335

0

0.016671

0.163057

4,802

170

79

28.247059

0.812889

0

0.705357

0

0.111828

0.031653

0

0.339286

1

0.169643

false

0.044643

0.008929

0

0.178571

0

null

0

1

0

1

0

null

0

7

62b9fdaa9f207454cbb7efe594f9ea696396b7a5

74,405

py

Python

pytests/tuqquery/tuq_advisor.py

ashwin2002/testrunner

141369afdfb920bebedd0f359caa926621497133

[ "Apache-2.0" ]

null

pytests/tuqquery/tuq_advisor.py

ashwin2002/testrunner

141369afdfb920bebedd0f359caa926621497133

[ "Apache-2.0" ]

null

pytests/tuqquery/tuq_advisor.py

ashwin2002/testrunner

141369afdfb920bebedd0f359caa926621497133

[ "Apache-2.0" ]

null

from remote.remote_util import RemoteMachineShellConnection from .tuq import QueryTests import time from deepdiff import DeepDiff from membase.api.exception import CBQError import threading class QueryAdvisorTests(QueryTests): def setUp(self): super(QueryAdvisorTests, self).setUp() self.log.info(...

69.149628

378

0.620254

9,153

74,405

4.912706

0.04097

0.05582

0.051372

0.077058

0.891718

0.875506

0.853667

0.834364

0.809879

0.802162

0

0.015757

0.220388

74,405

1,075

379

69.213953

0.759426

0.029904

0

0.700986

0

0.07667

0.365428

0.063339

0

0.105148

1

0.062432

false

0.035049

0.006572

0

0.071194

0

null

0

1

0

1

0

null

0

7

c56f7a314e27a30d1813e47aba616e1e5f65dcae

24,386

py

Python

src/graph_transpiler/webdnn/frontend/tensorflow/ops/gen_array_ops.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

1

2018-07-26T13:52:21.000Z

src/graph_transpiler/webdnn/frontend/tensorflow/ops/gen_array_ops.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

null

src/graph_transpiler/webdnn/frontend/tensorflow/ops/gen_array_ops.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

null

from typing import List import numpy as np import tensorflow as tf from webdnn import ConstantVariable from webdnn.frontend.constraints import AxisVar, unify_order from webdnn.graph.operators.reshape import Reshape from webdnn.graph.operators.zero_padding_2d import ZeroPadding2D from webdnn.graph.variable import Vari...

46.185606

126

0.787091

2,849

24,386

6.517726

0.09477

0.03899

0.210566

0.173353

0.767731

0.754968

0.747752

0.736712

0.723464

0.71377

0

0.002298

0.10789

24,386

527

127

46.273245

0.851253

0.026163

0

0.282738

0

0.306182

0.093127

0

0.001898

0.014881

1

0.258929

false

0

0.03869

0

0.297619

0

null

0

1

0

1

0

null

0

1

0

8

3de91ded5cbccbf77a1e6dca5a19d05acdc96082

131

py

Python

flowtrail/colors.py

krisfris/flowtrail

012c3397859bb11841210f934e7102bfb848c1cd

[ "MIT" ]

null

flowtrail/colors.py

krisfris/flowtrail

012c3397859bb11841210f934e7102bfb848c1cd

[ "MIT" ]

null

flowtrail/colors.py

krisfris/flowtrail

012c3397859bb11841210f934e7102bfb848c1cd

[ "MIT" ]

null

import random def random_color(): return [random.uniform(0.0, 1.0), random.uniform(0.0, 1.0), random.uniform(0.0, 1.0), 1.0]

21.833333

94

0.656489

26

131

3.269231

0.307692

0.094118

0.141176

0.529412

0.6

0

0.123894

0.137405

131

5

95

26.2

0.628319

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

8

9aa2fd5bbac081ac5d41bd786a69d5ee93e8716d

434

py

Python

src/test/test_cwssim_container.py

jannsta1/torf

b7866bf1a824b3ab6f44b7fa5da0c7a781766fd0

[ "BSD-2-Clause" ]

3

2021-06-15T12:01:22.000Z

2022-01-21T23:17:37.000Z

src/test/test_cwssim_container.py

jannsta1/torf

b7866bf1a824b3ab6f44b7fa5da0c7a781766fd0

[ "BSD-2-Clause" ]

null

src/test/test_cwssim_container.py

jannsta1/torf

b7866bf1a824b3ab6f44b7fa5da0c7a781766fd0

[ "BSD-2-Clause" ]

null

import pytest from src.cwssim_container import Cwsim_container_from_ims, response_across_im_series from src.utils import get_fwd_drone_ims # @pytest.fixture # def ims(im_w=235, im_h=150): # return get_fwd_drone_ims(im_w=im_w, im_h=im_h) def test_response_across_im_series_multi_process(): response_across_im_...

25.529412

84

0.827189

72

434

4.472222

0.402778

0.217391

0.248447

0.341615

0.360248

0.180124

0

0.015424

0.103687

434

16

85

27.125

0.812339

0.218894

0

1

0.285714

true

0

0.428571

0

0.714286

0

null

1

0

null

0

1

0

1

0

1

0

7

9aadcd21c6ab76d33fbcf41a77df891172542770

30,567

py

Python

mealpy/evolutionary_based/DE.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

1

2021-10-03T05:27:36.000Z

mealpy/evolutionary_based/DE.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

mealpy/evolutionary_based/DE.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

#!/usr/bin/env python # ------------------------------------------------------------------------------------------------------% # Created by "Thieu Nguyen" at 09:48, 16/03/2020 % # ...

47.317337

151

0.534007

4,254

30,567

3.582511

0.063

0.06063

0.048425

0.023622

0.809186

0.777428

0.757743

0.729528

0.712402

0.701509

0

0.021223

0.346419

30,567

645

152

47.390698

0.741616

0.101351

0

0.70101

0

0.006601

0

1

0.042424

false

0

0.010101

0.00404

0.111111

0.012121

0

null

0

1

0

1

0

null

0

7

b121fe5d1467093d1754046eb9017faad57cc1ef

116

py

Python

opengnn/__init__.py

css518/Keywords-Guided-Method-Name-Generation

2b361bb26fc74b64e92feb30776a0a92f278fb98

[ "MIT" ]

5

2021-04-13T03:01:51.000Z

2021-09-11T09:08:49.000Z

opengnn/__init__.py

css518/Keywords-Guided-Method-Name-Generation

2b361bb26fc74b64e92feb30776a0a92f278fb98

[ "MIT" ]

null

opengnn/__init__.py

css518/Keywords-Guided-Method-Name-Generation

2b361bb26fc74b64e92feb30776a0a92f278fb98

[ "MIT" ]

null

from opengnn import decoders from opengnn import encoders from opengnn import inputters from opengnn import models

19.333333

29

0.853448

16

116

6.1875

0.4375

0.444444

0.686869

0

0.146552

116

5

30

23.2

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

492f65d9062813dff0e00114411b518796045dfe

10,953

py

Python

Tools/pybench/Strings.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

1

2018-06-21T18:21:24.000Z

Tools/pybench/Strings.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

null

Tools/pybench/Strings.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

null

z pybench zaimportuj Test zaimportuj sys spróbuj: intern wyjąwszy NameError: intern = sys.intern klasa ConcatStrings(Test): version = 2.0 operations = 10 * 5 rounds = 100000 def test(self): # Make sure the strings are *not* interned s = ''.join(map(str,range(100))) ...

19.249561

75

0.281658

1,163

10,953

2.649183

0.082545

0.098669

0.143135

0.190847

0.871146

0.846803

0.822785

0.797144

0.733853

0.710159

0

0.053361

0.597918

10,953

568

76

19.283451

0.646231

0.012143

0

0.943052

0

0.022473

0

null

0

0.004556

null

0

null

0

1

0

1

0

1

0

null

0

1

0

10

49644b4cf687bc4e7ef66aa8a6f99abfd014ece7

2,514

py

Python

test/test_utils.py

Debilski/pelita

192934d63d7337ffd2e167db8ce27b3dfd8a545d

[ "BSD-2-Clause" ]

null

test/test_utils.py

Debilski/pelita

192934d63d7337ffd2e167db8ce27b3dfd8a545d

[ "BSD-2-Clause" ]

null

test/test_utils.py

Debilski/pelita

192934d63d7337ffd2e167db8ce27b3dfd8a545d

[ "BSD-2-Clause" ]

null

import pytest from textwrap import dedent from pelita import utils @pytest.mark.parametrize('is_blue', [True, False]) def test_setup_test_game(is_blue): layout = utils.load_builtin_layout('small_001', is_blue=is_blue) test_game = utils.setup_test_game(layout=layout, is_blue=is_blue) if is_blue: ...

32.230769

122

0.578759

338

2,514

4.073965

0.14497

0.180102

0.223675

0.193174

0.879448

0.847495

0.83878

0.793028

0

0.028841

0.241448

2,514

77

123

32.649351

0.693235

0.078759

0

0.745763

0

0.179376

0

0.372881

1

0.050847

false

0

0.050847

0

0.101695

0

null

0

1

0

1

0

null

0

9

b8ed537b66d95b25046f4de8b2b50a81ef10f851

12,010

py

Python

tests/test_network.py

eclissi91/curio

09dd8a20142b6210fe18f676a746918601c6092e

[ "BSD-3-Clause" ]

null

tests/test_network.py

eclissi91/curio

09dd8a20142b6210fe18f676a746918601c6092e

[ "BSD-3-Clause" ]

null

tests/test_network.py

eclissi91/curio

09dd8a20142b6210fe18f676a746918601c6092e

[ "BSD-3-Clause" ]

null

# test_network.py from os.path import dirname, join import sys import os import ssl from functools import partial import pytest from curio import * from curio import network from curio import ssl as curiossl from curio.socket import * def test_tcp_echo(kernel): results = [] async def handler(client, addr): ...

34.912791

113

0.611157

1,460

12,010

4.855479

0.110959

0.02257

0.031034

0.035689

0.92044

0.898011

0.863874

0.832134

0.805896

0.765975

0

0.016187

0.285012

12,010

343

114

35.014577

0.809363

0.040216

0

0.818868

0

0.091438

0

0.037736

1

0.037736

false

0.007547

0.037736

0

0.098113

0

null

0

1

0

1

0

null

0

7

773df4423b6d29f946978a70e942744697ac7fb6

125

py

Python

src/view/scenes/__init__.py

ArcosJuan/Get-out-of-my-fucking-maze

ca2cfeaaeecb6c6f583ad647d020f25176170805

[ "MIT" ]

2

2021-09-09T14:03:40.000Z

2021-11-03T03:35:55.000Z

src/view/scenes/__init__.py

ArcosJuan/Get-out-of-my-fucking-maze

ca2cfeaaeecb6c6f583ad647d020f25176170805

[ "MIT" ]

null

src/view/scenes/__init__.py

ArcosJuan/Get-out-of-my-fucking-maze

ca2cfeaaeecb6c6f583ad647d020f25176170805

[ "MIT" ]

null

from src.view.scenes.scene import Scene from src.view.scenes.main_menu import MainMenu from src.view.scenes.game import Game

31.25

46

0.832

22

125

4.681818

0.454545

0.203884

0.320388

0.495146

0

0.096

125

3

47

41.666667

0.911504

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

77508dd2aeb0c35af663e0129bb4b22cb9713ce8

6,235

py

Python

example/theme_example.py

lakdred/pyecharts

02050acb0e94bb9453b88a25028de7a0ce23f125

[ "MIT" ]

1

2019-06-29T09:37:45.000Z

example/theme_example.py

lakdred/pyecharts

02050acb0e94bb9453b88a25028de7a0ce23f125

[ "MIT" ]

null

example/theme_example.py

lakdred/pyecharts

02050acb0e94bb9453b88a25028de7a0ce23f125

[ "MIT" ]

1

2021-01-18T10:17:01.000Z

# coding=utf-8 from example.commons import Collector, Faker from pyecharts import options as opts from pyecharts.charts import Bar, Page from pyecharts.globals import ThemeType C = Collector() @C.funcs def theme_default() -> Bar: c = ( Bar() .add_xaxis(Faker.choose()) .add_yaxis("商家A", Fa...

28.21267

75

0.601443

783

6,235

4.595147

0.074074

0.133407

0.175097

0.237632

0.854086

0.772374

0.61284

0

0.000207

0.226784

6,235

220

76

28.340909

0.746111

0.001925

0

0.645161

0

0.060601

0

1

0.080645

false

0.016129

0.021505

0

0.182796

0

null

0

1

0

null

0

7

620af4c0b7fd64623f602007943851471dca59db

6,895

py

Python

src/estimator.py

edgartutu/edgar-covid-19-estimator

6727c41cc1e59adc6c587b73d8957f89230d815c

[ "MIT" ]

null

src/estimator.py

edgartutu/edgar-covid-19-estimator

6727c41cc1e59adc6c587b73d8957f89230d815c

[ "MIT" ]

1

2021-05-11T10:32:55.000Z

src/estimator.py

edgartutu/edgar-covid-19-estimator

6727c41cc1e59adc6c587b73d8957f89230d815c

[ "MIT" ]

null

def estimator(data): reportedCases=data['reportedCases'] totalHospitalBeds=data['totalHospitalBeds'] output={"data": {},"impact": {},"severeImpact":{}} output['impact']['currentlyInfected']=reportedCases * 10 output['severeImpact']['currentlyInfected']=reportedCases * 50 days=28 if days: factor=int(da...

59.956522

113

0.762582

603

6,895

8.517413

0.089552

0.088785

0.108061

0.066589

0.91141

0

0.022657

0.103843

6,895

114

60.482456

0.808545

0

0.814815

0

0.383321

0.229732

0

1

0.009259

false

0

0.037037

0

null

0

1

0

1

0

null

0

7

622ae47c9eaa3191591a9b811ff797693749a07d

11,052

py

Python

ChimuApi/chimu_api.py

lenforiee/python-chimu-api

464310741bc58aa1702c9810a50d061e40f63ec2

[ "MIT" ]

null

ChimuApi/chimu_api.py

lenforiee/python-chimu-api

464310741bc58aa1702c9810a50d061e40f63ec2

[ "MIT" ]

null

ChimuApi/chimu_api.py

lenforiee/python-chimu-api

464310741bc58aa1702c9810a50d061e40f63ec2

[ "MIT" ]

null

import aiohttp import requests import orjson from .classes import Beatmap, BeatmapSet class ChimuAPI: """Synchronous ChimuAPI class for making requests""" def __init__(self): pass @staticmethod def get_map(map_id: int) -> Beatmap: """Gets a beatmap from chimu's API Params: ...

36.117647

101

0.536283

1,101

11,052

5.338783

0.128065

0.130997

0.017693

0.021776

0.958489

0.952705

0.946751

0

0.003234

0.328447

11,052

305

102

36.236066

0.788736

0.106678

0

0.828125

0

0.200091

0

1

0.03125

false

0.03125

0.020833

0

0.104167

0

null

0

1

0

1

0

null

0

7

6231152e6fc5cf150c60575b33abb09a2c09dea1

5,739

py

Python

backend/base/migrations/0001_initial.py

AimeneNouri/Invetory-Management-WebApp

83db8ebecc315a00ff1b974af5ba31d44d0377a2

[ "MIT" ]

null

backend/base/migrations/0001_initial.py

AimeneNouri/Invetory-Management-WebApp

83db8ebecc315a00ff1b974af5ba31d44d0377a2

[ "MIT" ]

null

backend/base/migrations/0001_initial.py

AimeneNouri/Invetory-Management-WebApp

83db8ebecc315a00ff1b974af5ba31d44d0377a2

[ "MIT" ]

null

# Generated by Django 3.2 on 2021-07-04 22:46 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] opera...

57.969697

130

0.59993

640

5,739

5.254688

0.148438

0.104668

0.110616

0.165923

0.860244

0.850431

0.829616

0.72584

0

0.024611

0.249521

5,739

98

131

58.561224

0.756211

0.007493

0

0.681319

1

0

0.058307

0

1

0

false

0.010989

0.032967

0

0.076923

0

null

0

1

0

1

0

null

0

8

0295f912cd7ea62d9bee67414a85b11bc7c13f77

4,465

py

Python

models/ebm.py

noahcao/icebeem

202b0cae8d98d45428c1a08d14c07a67184e3ca6

[ "MIT" ]

48

2020-07-03T13:31:36.000Z

2022-03-18T17:48:49.000Z

models/ebm.py

noahcao/icebeem

202b0cae8d98d45428c1a08d14c07a67184e3ca6

[ "MIT" ]

5

2020-08-07T03:33:26.000Z

2022-03-30T11:06:15.000Z

models/ebm.py

noahcao/icebeem

202b0cae8d98d45428c1a08d14c07a67184e3ca6

[ "MIT" ]

15

2020-11-27T19:51:57.000Z

2021-12-09T21:00:40.000Z

import torch import torch.nn.functional as F from torch import nn from .nets import CleanMLP class UnnormalizedConditialEBM(nn.Module): def __init__(self, input_size, hidden_size, n_hidden, output_size, condition_size, activation='lrelu', augment=False, positive=False): super().__init__(...

32.122302

107

0.643001

624

4,465

4.331731

0.107372

0.09249

0.051794

0.056234

0.829449

0.824269

0.795413

0.757677

0.72919

0

0.004657

0.230459

4,465

138

108

32.355072

0.782014

0

0.702128

0

0.018365

0

0.010638

1

0.170213

false

0

0.042553

0.404255

0

null

0

1

0

1

0

null

0

7

02e052e583adad0ffd7b1fa21077cf92474f25a7

17,934

py

Python

pytests/tuqquery/n1ql_window_functions_syntax_check.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/tuqquery/n1ql_window_functions_syntax_check.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/tuqquery/n1ql_window_functions_syntax_check.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

from tuq import QueryTests import random import string from random import randint from membase.api.exception import CBQError import threading import copy class WindowFunctionsSyntaxTest(QueryTests): def setUp(self): super(WindowFunctionsSyntaxTest, self).setUp() self.log_config_info() self...

67.675472

226

0.510873

1,783

17,934

4.803141

0.102075

0.026156

0.02312

0.02277

0.801845

0.764946

0.748599

0.723143

0.707613

0.692433

0

0.012567

0.387699

17,934

265

227

67.675472

0.767325

0

0.62931

0

0.008621

0.208642

0.022414

0

0.00431

0

null

0

0.030172

null

0

null

0

1

0

null

0

1

0

7

f307c0ab763fb7fbaecd2eff21d0eaf3eccddf92

150

py

Python

msbd/metriche/__init__.py

mnslarcher/metodi-statistici-big-data

4587b4e4104557e50d09d028259d6c42c44d2814

[ "MIT" ]

1

2019-02-17T09:28:04.000Z

msbd/metriche/__init__.py

mnslarcher/metodi-statistici-big-data

4587b4e4104557e50d09d028259d6c42c44d2814

[ "MIT" ]

null

msbd/metriche/__init__.py

mnslarcher/metodi-statistici-big-data

4587b4e4104557e50d09d028259d6c42c44d2814

[ "MIT" ]

null

from .metriche import criterio_informazione_akaike from .metriche import MetricheClassificazione from .metriche import radice_errore_quadratico_medio

37.5

52

0.9

17

150

7.647059

0.647059

0.276923

0.415385

0

0.08

150

3

53

50

0.942029

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b87f05e7c7523d69c9a15fc54426113818019ff2

24,107

py

Python

nintendo/nex/authentication.py

azillion/DodoTrafficControl

9aa014f6d1ac3ad4ea5747d7ded4749ea60f7422

[ "MIT" ]

209

2017-05-15T19:38:34.000Z

2020-11-30T03:31:07.000Z

nintendo/nex/authentication.py

azillion/DodoTrafficControl

9aa014f6d1ac3ad4ea5747d7ded4749ea60f7422

[ "MIT" ]

44

2018-07-06T16:08:54.000Z

2020-11-29T20:04:32.000Z

nintendo/nex/authentication.py

azillion/DodoTrafficControl

9aa014f6d1ac3ad4ea5747d7ded4749ea60f7422

[ "MIT" ]

34

2017-05-23T17:35:57.000Z

2020-11-29T17:37:16.000Z

# This file was generated automatically by generate_protocols.py from nintendo.nex import notification, rmc, common, streams import logging logger = logging.getLogger(__name__) class AuthenticationInfo(common.Data): def __init__(self): super().__init__() self.token = None self.ngs_version = 3 self.token_t...

36.525758

125

0.740988

3,046

24,107

5.664478

0.054169

0.045207

0.037557

0.050075

0.870871

0.835516

0.80022

0.755767

0.713632

0.682161

0

0.00325

0.132119

24,107

659

126

36.581184

0.821432

0.033434

0

0.629191

1

0

0.19218

0.084778

0

0.000258

0

1

0.04142

false

0.005917

0.003945

0

0.118343

0

null

0

1

0

1

0

null

0

7

b8a946c37eabbb3f925c7788e91ecbd7d2262466

98

py

Python

explorer/resources/ui/__init__.py

shalevy1/gexplorer

5216a506aace8259bc84495018c4a67dda220403

[ "Apache-2.0" ]

null

explorer/resources/ui/__init__.py

shalevy1/gexplorer

5216a506aace8259bc84495018c4a67dda220403

[ "Apache-2.0" ]

1

2022-03-21T22:21:30.000Z

explorer/resources/ui/__init__.py

shalevy1/gexplorer

5216a506aace8259bc84495018c4a67dda220403

[ "Apache-2.0" ]

null

from explorer.resources.ui.index import Index from explorer.resources.ui.template import Template

32.666667

51

0.857143

14

98

6

0.5

0.285714

0.5

0.547619

0

0.081633

98

2

52

49

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

b22c99edc1775bc837c6ae49c47b4513cb17bd87

7,189

py

Python

tests/models/boundary/test_is_point_in_boundary.py

EderVs/Voronoi-Diagrams

6e69f9b6eb516dee12d66f187cf267a7b527da5f

[ "MIT" ]

3

2021-11-12T17:43:08.000Z

2022-01-03T02:47:34.000Z

tests/models/boundary/test_is_point_in_boundary.py

EderVs/Voronoi-Diagrams

6e69f9b6eb516dee12d66f187cf267a7b527da5f

[ "MIT" ]

3

2021-11-19T20:12:31.000Z

2021-11-19T20:14:39.000Z

tests/models/boundary/test_is_point_in_boundary.py

EderVs/Voronoi-Diagrams

6e69f9b6eb516dee12d66f187cf267a7b527da5f

[ "MIT" ]

null

"""Test is_point_in_boundary method in WeightedPointBoundary.""" # Standard from typing import List, Any from random import randint # Models from voronoi_diagrams.models import ( WeightedSite, WeightedPointBisector, WeightedPointBoundary, Point, ) # Math from decimal import Decimal class TestWeighte...

46.681818

78

0.696203

909

7,189

5.242024

0.10121

0.09255

0.192025

0.243442

0.881217

0.865687

0.865268

0.828541

0

0.059309

0.207261

7,189

153

79

46.986928

0.776803

0.093059

0

0.62963

0

0.048061

0.035852

0

0.481481

1

0.027778

false

0

0.037037

0

0.074074

0

null

0

1

0

null

0

1

0

9

b234d0dd0544e896fe9db00a9ac48cf9a8870038

4,450

py

Python

tests/fields/test_arithmetic_exceptions.py

BK-Modding/galois

5da4db84d90083e337ebe2c1838df5c6db88fd3f

[ "MIT" ]

null

tests/fields/test_arithmetic_exceptions.py

BK-Modding/galois

5da4db84d90083e337ebe2c1838df5c6db88fd3f

[ "MIT" ]

null

tests/fields/test_arithmetic_exceptions.py

BK-Modding/galois

5da4db84d90083e337ebe2c1838df5c6db88fd3f

[ "MIT" ]

null

""" A pytest module to test exception raising for invalid Galois field array arithmetic. """ import pytest import numpy as np import galois from ..helper import randint def test_add_int_scalar(field): x = field.Random(10) y = int(randint(0, field.order, 1, field.dtypes[-1])) with pytest.raises(TypeError...

24.860335

102

0.605618

650

4,450

4.06

0.107692

0.147783

0.236453

0.303145

0.853732

0.844259

0.790451

0.720349

0.708223

0

0.028186

0.266517

4,450

178

103

25

0.780331

0.076629

0

0.8

0

1

0.118519

false

0

0.02963

0

0.148148

0

null

0

1

0

1

0

null

0

9

b25573ea17afc6e0899bed6da89336286b7b8854

3,622

py

Python

lensit/qcinv/chain_samples.py

Sebastian-Belkner/LensIt

3e746ceeaa53b2845af31cc8372cd897e34ad53f

[ "MIT" ]

null

lensit/qcinv/chain_samples.py

Sebastian-Belkner/LensIt

3e746ceeaa53b2845af31cc8372cd897e34ad53f

[ "MIT" ]

null

lensit/qcinv/chain_samples.py

Sebastian-Belkner/LensIt

3e746ceeaa53b2845af31cc8372cd897e34ad53f

[ "MIT" ]

null

from __future__ import print_function from lensit.qcinv import cd_solve import numpy as np def get_defaultmgchain(lmax_sky, lsides, datshape, tol=1e-5, iter_max=np.inf, dense_file='', **kwargs): # FIXME : assert datshape[0] == datshape[1], datshape nside_max = datshape[0] if lmax_sky > 4000: ...

48.945946

157

0.576753

557

3,622

3.490126

0.141831

0.097222

0.060185

0.07356

0.809156

0.792695

0.783436

0.756687

0

0.066494

0.252623

3,622

73

158

49.616438

0.651644

0.001933

0

0.609375

0

0.125381

0

0.013699

0.046875

1

0.046875

false

0

0.046875

0

0.140625

0.0625

0

null

0

1

0

null

0

1

0

7

b270d816df88163f798ae697243e694e5e4267f2

12,471

py

Python

misago/users/tests/test_user_create_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

1

2017-07-25T03:04:36.000Z

misago/users/tests/test_user_create_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

misago/users/tests/test_user_create_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

from django.contrib.auth import get_user_model from django.core import mail from django.test import override_settings from django.urls import reverse from misago.conf import settings from misago.users.models import Ban, Online from misago.users.testutils import UserTestCase UserModel = get_user_model() class UserC...

32.30829

97

0.565632

1,236

12,471

5.553398

0.127023

0.037733

0.057692

0.064103

0.827943

0.776078

0.754371

0.742133

0.71285

0.701777

0

0.012765

0.315291

12,471

385

98

32.392208

0.791076

0.06471

0

0.64966

0

0.010204

0.178846

0.007524

0

0.163265

1

0.068027

false

0.085034

0.02381

0

0.095238

0

null

0

1

0

null

0

1

0

7

b27c38908424a6ddf59f889e21b07f4a069eb638

71

py

Python

hello.py

gabriel-flyrlabs/hello-world-test

5a209215479d6e56cfea19177040fae9ca5acb24

[ "MIT" ]

null

hello.py

gabriel-flyrlabs/hello-world-test

5a209215479d6e56cfea19177040fae9ca5acb24

[ "MIT" ]

null

hello.py

gabriel-flyrlabs/hello-world-test

5a209215479d6e56cfea19177040fae9ca5acb24

[ "MIT" ]

null

print "Hello World!" print "Hello World again!" print 'more more more'

17.75

26

0.732394

11

71

4.727273

0.454545

0.384615

0.576923

0

0.15493

71

3

27

23.666667

0.866667

0

0.619718

0

null

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

a253c8e23d8b2dc804b57b1afc90c2cb489caf1e

410

py

Python

models/utils.py

sgalkina/svae_spectra

d443e6c0839875c7f19fc9362075bb8e54cdbca8

[ "MIT" ]

null

models/utils.py

sgalkina/svae_spectra

d443e6c0839875c7f19fc9362075bb8e54cdbca8

[ "MIT" ]

null

models/utils.py

sgalkina/svae_spectra

d443e6c0839875c7f19fc9362075bb8e54cdbca8

[ "MIT" ]

1

2022-03-18T12:33:15.000Z

def unsupervised_distr(distr): variables = {k: k + '_u' for k in distr.var + distr.cond_var if k != 'z'} distr_unsupervised = distr.replace_var(**variables) return distr_unsupervised, variables def unsupervised_distr_no_var(distr): variables = {k: k + '_u' for k in distr.var + distr.cond_var if k != '...

37.272727

77

0.707317

59

410

4.677966

0.254237

0.246377

0.144928

0.115942

0.804348

0

0.178049

410

10

78

41

0.818991

0

0.5

0

0.014634

0

1

0.25

false

0

0.5

0

null

1

0

1

0

null

0

1

0

8

a2a5a99a77212c0d1c5154f19871a23c9caef251

341

py

Python

Voice Assitent/Detec/l.py

AlbertBagdos256/Voice-Assistent

6280e19c22da04a0135c418b96b6273357e334e4

[ "MIT" ]

null

Voice Assitent/Detec/l.py

AlbertBagdos256/Voice-Assistent

6280e19c22da04a0135c418b96b6273357e334e4

[ "MIT" ]

null

Voice Assitent/Detec/l.py

AlbertBagdos256/Voice-Assistent

6280e19c22da04a0135c418b96b6273357e334e4

[ "MIT" ]

null

import os import subprocess prog_name = 'D:/Python.main/PETROVICH/Detec/obj_detec_oop.py' arg = '--prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel' os.system(r'D:/Python.main/PETROVICH/Detec/obj_detec_oop.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.c...

31

145

0.788856

46

341

5.652174

0.478261

0.276923

0.084615

0.153846

0.830769

0

0.096774

341

10

146

34.1

0.844156

0

0.2

0.792049

0.666667

0

1

0

false

0

0.4

0

0.4

0

null

1

0

1

0

1

null

0

1

0

9

a2cc7c8d046f57686330ef825bdc65b839580b8e

218

py

Python

http_responses/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

http_responses/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

http_responses/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

from ._oauth2_token_response import Oath2TokenResponse from ._message_response import MessageResponseModel from ._error_response_model import ErrorResponseModel from ._session_token_response import SessionTokenResponse

54.5

57

0.912844

23

218

8.173913

0.565217

0.223404

0.202128

0

0.009852

0.068807

218

4

57

54.5

0.916256

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a7d43861875dce212aa6f1f7535c0c09e0a3802c

36,508

py

Python

generators/generators.py

XingangPan/ShadeGAN

b151b3105e868373724f6719d7bf916d781cdec7

[ "MIT" ]

96

2021-11-01T01:49:38.000Z

2022-03-23T04:31:26.000Z

generators/generators.py

XingangPan/ShadeGAN

b151b3105e868373724f6719d7bf916d781cdec7

[ "MIT" ]

3

2021-11-08T03:15:40.000Z

2022-03-01T21:31:02.000Z

generators/generators.py

XingangPan/ShadeGAN

b151b3105e868373724f6719d7bf916d781cdec7

[ "MIT" ]

8

2021-11-02T13:37:03.000Z

2022-03-23T04:29:33.000Z

"""Implicit generator for 3D volumes""" import torch.nn as nn import torch from .volumetric_rendering import * from .decoder import ResDecoder from .utils import * class ImplicitGenerator3d(nn.Module): def __init__(self, siren, z_dim, shading, view_condition, light_condition, surf_track, ldist=None, **kwargs): ...

66.137681

324

0.624603

4,837

36,508

4.405003

0.054786

0.045994

0.059886

0.042052

0.877552

0.875862

0.867978

0.864692

0.861689

0

0.016886

0.27005

36,508

551

325

66.257713

0.782656

0.05859

0

0.817978

0

0.01766

0

1

0.020225

false

0

0.011236

0

0.044944

0

null

0

1

0

1

0

null

0

7

ac260519216470963df403693d0e432ebea528b2

57

py

Python

passwordgenerator/__init__.py

aminbeigi/Password-Generator-Rest-API

b64159cd14cecabb6481be2ae10780e1435fb6a7

[ "MIT" ]

null

passwordgenerator/__init__.py

aminbeigi/Password-Generator-Rest-API

b64159cd14cecabb6481be2ae10780e1435fb6a7

[ "MIT" ]

null

passwordgenerator/__init__.py

aminbeigi/Password-Generator-Rest-API

b64159cd14cecabb6481be2ae10780e1435fb6a7

[ "MIT" ]

null

from .app import API_RESPONSE_LIMIT from .app import app

28.5

36

0.824561

10

57

4.5

0.6

0.311111

0.577778

0

0.140351

57

2

37

28.5

0.918367

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

ac46ecacef572c8618aded349c3ea24560fff672

147

py

Python

streamvbyte/__init__.py

iiSeymour/pystreamvbyte

7110399ac2dbcb98433185700828fee2d9b79a28

[ "Apache-2.0" ]

3

2020-12-28T02:15:35.000Z

2022-02-22T19:59:33.000Z

streamvbyte/__init__.py

iiSeymour/pystreamvbyte

7110399ac2dbcb98433185700828fee2d9b79a28

[ "Apache-2.0" ]

4

2019-05-05T22:25:31.000Z

2021-07-04T16:56:29.000Z

streamvbyte/__init__.py

iiSeymour/pystreamvbyte

7110399ac2dbcb98433185700828fee2d9b79a28

[ "Apache-2.0" ]

1

2021-07-01T19:06:23.000Z

__version__ = '0.4.1' from streamvbyte.lib import encode, encode_0124, encode_delta from streamvbyte.lib import decode, decode_0124, decode_delta

29.4

61

0.816327

22

147

5.090909

0.545455

0.267857

0.321429

0.428571

0

0.083969

0.108844

147

4

62

36.75

0.770992

0

0.034014

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

ac619334ac18ce8de78877de38c168ac683f17ce

5,542

py

Python

gymnasiums/tests/tests_gymnasium_update_view.py

hbuyse/dj-gymnasiums

39f590dc703eec01c753ea54d7f4afd06f81a582

[ "MIT" ]

null

gymnasiums/tests/tests_gymnasium_update_view.py

hbuyse/dj-gymnasiums

39f590dc703eec01c753ea54d7f4afd06f81a582

[ "MIT" ]

null

gymnasiums/tests/tests_gymnasium_update_view.py

hbuyse/dj-gymnasiums

39f590dc703eec01c753ea54d7f4afd06f81a582

[ "MIT" ]

null

#! /usr/bin/env python # coding=utf-8 """Tests the views.""" # Django from django.contrib.auth import get_user_model from django.test import TestCase from django.urls import reverse # Current django project from gymnasiums.models import Gymnasium class TestGymnasiumUpdateViewAsAnonymous(TestCase): """Tests."""...

32.409357

113

0.579935

587

5,542

5.383305

0.158433

0.123418

0.086076

0.053165

0.881329

0.873418

0

0.029319

0.255323

5,542

170

114

32.6

0.73637

0.054313

0

0.828829

0

0.179348

0.004076

0

0.144144

1

0.108108

false

0.081081

0.036036

0

0.18018

0

null

0

1

0

1

0

null

0

1

0

8

3bc1d0358b5d3b8925f0da8fcc5e6a7bc84ce430

28,195

py

Python

test/functional-tests-legacy/PfwTestCase/Domains/tDomain_Configuration.py

mgaio/parameter-framework

320b4c11211706810c9f38d7599cac37dde54888

[ "BSD-3-Clause" ]

40

2015-01-29T16:00:41.000Z

2017-10-25T22:00:23.000Z

test/functional-tests-legacy/PfwTestCase/Domains/tDomain_Configuration.py

mgaio/parameter-framework

320b4c11211706810c9f38d7599cac37dde54888

[ "BSD-3-Clause" ]

365

2015-01-02T14:33:40.000Z

2017-10-13T00:49:58.000Z

test/functional-tests-legacy/PfwTestCase/Domains/tDomain_Configuration.py

mgaio/parameter-framework

320b4c11211706810c9f38d7599cac37dde54888

[ "BSD-3-Clause" ]

43

2015-01-22T10:54:58.000Z

2017-07-15T12:26:43.000Z

# -*-coding:utf-8 -* # Copyright (c) 2011-2015, Intel Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, thi...

56.844758

170

0.655648

3,118

28,195

5.801475

0.0805

0.024324

0.055724

0.034828

0.844491

0.829786

0.805794

0.780861

0.769528

0.748853

0

0.000695

0.234439

28,195

495

171

56.959596

0.837341

0.212839

0

0.747405

0

0.429064

0.048953

0

0.197232

1

0.020761

false

0

0.010381

0

0.034602

0.00346

0

null

0

1

0

1

0

null

0

7

cbec485fe80449617e1ed8b487832a45797677e0

16,582

py

Python

phyto_photo_utils/_fitting.py

tjryankeogh/phytophotoutils

48c1747bca837f1d4c73ff48d7c232840eca8352

[ "MIT" ]

null

phyto_photo_utils/_fitting.py

tjryankeogh/phytophotoutils

48c1747bca837f1d4c73ff48d7c232840eca8352

[ "MIT" ]

null

phyto_photo_utils/_fitting.py

tjryankeogh/phytophotoutils

48c1747bca837f1d4c73ff48d7c232840eca8352

[ "MIT" ]

1

2021-12-16T11:42:03.000Z

#!/usr/bin/env python from numpy import count_nonzero, isnan, inf, linalg, arange, repeat, nan from scipy.optimize import least_squares from sklearn import linear_model import warnings warnings.filterwarnings("ignore", category=RuntimeWarning) from ._equations import __fit_kolber_nop__, __fit_kolber_p__, __fit_single_...

34.40249

403

0.656193

2,744

16,582

3.72777

0.06086

0.019552

0.023952

0.034216

0.907127

0.898524

0.896178

0.885717

0.873986

0

0.040021

0.192317

16,582

481

404

34.474012

0.723736

0.039682

0

0.847545

0

0.091166

0

1

0.01292

false

0.03876

0.01292

0

0.077519

0.05168

0

null

0

1

0

1

0

null

0

7

0203c710abd08d0de7ac594a38c11e3c2abcc5d4

207

py

Python

Company-Project/src/main/pages/__init__.py

joshuadavidthomas/Wagtail-Pipit

1cd057590194c570c8c1674a58326a2abbd3b75c

[ "MIT" ]

124

2019-04-30T19:51:01.000Z

2022-03-25T17:10:52.000Z

{{cookiecutter.project_name}}/src/main/pages/__init__.py

albertfougy/Wagtail-Pipit

e82991c76bb3c79804971a33d30b9e098bfb4ea9

[ "MIT" ]

713

2019-05-20T12:10:22.000Z

2022-03-30T04:15:10.000Z

{{cookiecutter.project_name}}/src/main/pages/__init__.py

albertfougy/Wagtail-Pipit

e82991c76bb3c79804971a33d30b9e098bfb4ea9

[ "MIT" ]

18

2019-09-11T00:38:42.000Z

2022-02-07T16:00:48.000Z

from .base import * # NOQA from .base_serializer import * # NOQA from .home import * # NOQA from .home_serializer import * # NOQA from .article import * # NOQA from .article_serializer import * # NOQA

29.571429

41

0.710145

27

207

5.333333

0.259259

0.416667

0.486111

0.333333

0

0.202899

207

6

42

34.5

0.872727

0.140097

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

02170db23fdf11082f1e7c10728793c3030e05b4

210

py

Python

vit_pytorch/CvT/__init__.py

khawar512/OPVT

690e540e7f54e43751d28a046009993e3e325291

[ "MIT" ]

null

vit_pytorch/CvT/__init__.py

khawar512/OPVT

690e540e7f54e43751d28a046009993e3e325291

[ "MIT" ]

null

vit_pytorch/CvT/__init__.py

khawar512/OPVT

690e540e7f54e43751d28a046009993e3e325291

[ "MIT" ]

null

from vit_pytorch.face_losses import CosFace, ArcFace, SFaceLoss, Softmax from vit_pytorch.CvT.cvt import CvT,ConvAttention from vit_pytorch.CvT.module import ConvAttention,SepConv2d,FeedForward,Residual,PreNorm

70

87

0.871429

29

210

6.172414

0.586207

0.117318

0.234637

0.189944

0

0.005102

0.066667

210

3

87

70

0.908163

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

02182e695786ca8bb2a560027a9744dcbe20ac94

44,741

py

Python

monk/pytorch/models/layers.py

gstearmit/monk_v1

89184ae27dc6d134620034d5b12aa86473ea47ba

[ "Apache-2.0" ]

null

monk/pytorch/models/layers.py

gstearmit/monk_v1

89184ae27dc6d134620034d5b12aa86473ea47ba

[ "Apache-2.0" ]

null

monk/pytorch/models/layers.py

gstearmit/monk_v1

89184ae27dc6d134620034d5b12aa86473ea47ba

[ "Apache-2.0" ]

1

2020-10-07T12:57:44.000Z

from pytorch.models.imports import * from system.imports import * @accepts(dict, int, post_trace=True) @TraceFunction(trace_args=True, trace_rv=True) def get_layer(network_layer, num_ftrs): layer_name = network_layer["name"]; layer_params = network_layer["params"]; if(layer_name == "linear"): ...

35.256895

110

0.660356

5,714

44,741

4.855268

0.035177

0.099917

0.155427

0.095195

0.901885

0.868435

0.83722

0.797643

0.761994

0.741665

0

0.007683

0.205851

44,741

1,269

111

35.256895

0.773128

0

0.719656

0

0.091547

0.013768

0

1

0.080559

false

0

0.002148

0

0.2116

0

null

0

1

0

1

0

null

0

7

0220447b9e033ed90d50eb6f8552e493ee18d0b0

3,915

py

Python

examples/src/Charts/AnimatingSeriesElements.py

aspose-slides/Aspose.Slides-for-Python-via-.NET

c55ad5c71f942598f1e67e22a52cbcd1cb286467

[ "MIT" ]

null

examples/src/Charts/AnimatingSeriesElements.py

aspose-slides/Aspose.Slides-for-Python-via-.NET

c55ad5c71f942598f1e67e22a52cbcd1cb286467

[ "MIT" ]

null

examples/src/Charts/AnimatingSeriesElements.py

aspose-slides/Aspose.Slides-for-Python-via-.NET

c55ad5c71f942598f1e67e22a52cbcd1cb286467

[ "MIT" ]

null

import aspose.slides as slides def charts_animating_series_elements(): #ExStart:AnimatingSeriesElements # The path to the documents directory. dataDir = "./examples/data/" outDir = "./examples/out/" # Load a presentation with slides.Presentation(dataDir + "charts_existing_chart.pptx") as pres...

103.026316

252

0.821967

446

3,915

7.029148

0.14574

0.244019

0.070494

0.103668

0.841786

0.824561

0

0.007287

0.088633

3,915

37

253

105.810811

0.871076

0.054151

0

0.026522

0.018133

0

null

0

0.045455

null

0

null

1

0

1

0

1

0

null

0

1

0

9

024dbaef9c26bc71d3bd020d037693481faf5542

139

py

Python

requests_oembed/__init__.py

dangayle/requests-oembed

7f3267ed2b67e313aea8ec72c274fb5d4ea11978

[ "MIT" ]

null

requests_oembed/__init__.py

dangayle/requests-oembed

7f3267ed2b67e313aea8ec72c274fb5d4ea11978

[ "MIT" ]

null

requests_oembed/__init__.py

dangayle/requests-oembed

7f3267ed2b67e313aea8ec72c274fb5d4ea11978

[ "MIT" ]

null

from requests_oembed import (endpoints, get_endpoint, get_oembed, gist, oembed) __all__=[endpoints, get_endpoint, get_oembed, gist,oembed]

46.333333

79

0.820144

19

139

5.526316

0.473684

0.228571

0.380952

0.438095

0.742857

0

0.086331

139

3

80

46.333333

0.826772

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

1

0

null

0

1

0

8

0267e9a93e2d77fcf4b1bd660ccd418625571f22

236

py

Python

cblib/scripts/filters/psdcones.py

HFriberg/cblib-base

164a00eb73ef3ac61f5b54f30492209cc69b854b

[ "Zlib" ]

3

2019-06-13T06:57:31.000Z

2020-06-18T09:58:11.000Z

cblib/scripts/filters/psdcones.py

HFriberg/cblib-base

164a00eb73ef3ac61f5b54f30492209cc69b854b

[ "Zlib" ]

1

2019-04-27T18:28:57.000Z

2019-04-30T17:16:53.000Z

cblib/scripts/filters/psdcones.py

HFriberg/cblib-base

164a00eb73ef3ac61f5b54f30492209cc69b854b

[ "Zlib" ]

3

2019-04-30T11:19:34.000Z

2019-05-31T13:12:17.000Z

import psdvarcones import psdmapcones def keyquery(cdim=None): return( psdvarcones.keyquery(cdim) | psdmapcones.keyquery(cdim) ) def getval(prob, cdim=None): return( psdvarcones.getval(prob,cdim) + psdmapcones.getval(prob,cdim) )

26.222222

73

0.771186

29

236

6.275862

0.344828

0.197802

0.230769

0.274725

0

0.105932

236

8

74

29.5

0.862559

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

8

028846f18bed975dba61de4144147c4ace3ac7fd

44,043

py

Python

alf/networks/encoding_networks.py

jesbu1/alf

def59fe39bdbca70a6c80e9b8f2c7c785cb59ea7

[ "Apache-2.0" ]

null

alf/networks/encoding_networks.py

jesbu1/alf

def59fe39bdbca70a6c80e9b8f2c7c785cb59ea7

[ "Apache-2.0" ]

null

alf/networks/encoding_networks.py

jesbu1/alf

def59fe39bdbca70a6c80e9b8f2c7c785cb59ea7

[ "Apache-2.0" ]

null

# Copyright (c) 2020 Horizon Robotics. 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 applicab...

44.577935

92

0.589152

5,054

44,043

4.922636

0.089434

0.037582

0.021705

0.021866

0.804775

0.785321

0.768922

0.753165

0.744403

0.732505

0

0.004952

0.339736

44,043

987

93

44.6231

0.850585

0.418477

0

0.759615

0

0.033374

0.004248

0

0.001013

0.044231

1

0.032692

false

0

0.026923

0.001923

0.094231

0

null

0

1

0

1

0

null

0

7

5a59255e6e651fbf080f0a9f574308f0bf255027

10,810

py

Python

cfgov/ask_cfpb/migrations/0045_remove_category_sidebar.py

adebisi-aden/consumerfinance.gov

8c0f5afac341823c59f73b0c6bd60592e0f5eaca

[ "CC0-1.0" ]

37

2020-08-18T19:52:39.000Z

2022-03-23T08:08:41.000Z

cfgov/ask_cfpb/migrations/0045_remove_category_sidebar.py

adebisi-aden/consumerfinance.gov

8c0f5afac341823c59f73b0c6bd60592e0f5eaca

[ "CC0-1.0" ]

338

2020-08-14T20:46:36.000Z

2022-03-31T20:49:32.000Z

cfgov/ask_cfpb/migrations/0045_remove_category_sidebar.py

adebisi-aden/consumerfinance.gov

8c0f5afac341823c59f73b0c6bd60592e0f5eaca

[ "CC0-1.0" ]

14

2020-10-21T15:27:03.000Z

2022-03-17T03:16:36.000Z

# Generated by Django 2.2.24 on 2021-08-03 13:53 from django.db import migrations import v1.atomic_elements.molecules import v1.blocks import v1.models.snippets import wagtail.core.blocks import wagtail.core.fields import wagtail.snippets.blocks class Migration(migrations.Migration): dependencies = [ ('...

360.333333

6,343

0.754117

1,492

10,810

5.396783

0.168901

0.139344

0.209016

0.154993

0.822032

0.817933

0.812842

0.802409

0.797566

0.778192

0

0.006696

0.088252

10,810

29

6,344

372.758621

0.810268

0.004255

0

0.26087

1

0.913043

0.398439

0.003066

0

1

0

false

0

0.304348

0

0.434783

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

12

5a60490956e03473c342fa3da4fa5e46c3412072

9,394

py

Python

tests/rtllib/test_multipliers.py

gtzimpragos/PyRTL

deeea93aa37a48d1cd6d65b2b475575de02a7a1c

[ "BSD-3-Clause" ]

null

tests/rtllib/test_multipliers.py

gtzimpragos/PyRTL

deeea93aa37a48d1cd6d65b2b475575de02a7a1c

[ "BSD-3-Clause" ]

null

tests/rtllib/test_multipliers.py

gtzimpragos/PyRTL

deeea93aa37a48d1cd6d65b2b475575de02a7a1c

[ "BSD-3-Clause" ]

null

import random import unittest import pyrtl import pyrtl.rtllib.testingutils as utils from pyrtl.rtllib import multipliers, adders, libutils class TestSimpleMult(unittest.TestCase): def setUp(self): pyrtl.reset_working_block() def test_trivial_case(self): self.mult_t_base(1, 5) def test...

36.410853

95

0.597615

1,319

9,394

4.035633

0.124337

0.02724

0.049033

0.061056

0.80387

0.781326

0.769303

0.764419

0.742438

0.711065

0

0.028333

0.28614

9,394

258

96

36.410853

0.765434

0.056738

0

0.56044

0

0.009494

0

0.098901

1

0.203297

false

0

0.027473

0

0.252747

0

null

0

1

0

null

0

1

0

7

5a62ac7db166975ac580d7cbeb62b1e3e6b9ff3b

4,981

py

Python

tests/utils/test_jinja_render_version_filters.py

bossjones/ultron8

45db73d32542a844570d44bc83defa935e15803f

[ "Apache-2.0", "MIT" ]

null

tests/utils/test_jinja_render_version_filters.py

bossjones/ultron8

45db73d32542a844570d44bc83defa935e15803f

[ "Apache-2.0", "MIT" ]

43

2019-06-01T23:08:32.000Z

2022-02-07T22:24:53.000Z

tests/utils/test_jinja_render_version_filters.py

bossjones/ultron8

45db73d32542a844570d44bc83defa935e15803f

[ "Apache-2.0", "MIT" ]

null

# st2common from ultron8.utils import jinja as jinja_utils class TestJinjaUtilsVersionsFilterTestCase: def test_version_compare(self): env = jinja_utils.get_jinja_environment() template = '{{version | version_compare("0.10.0")}}' actual = env.from_string(template).render({"version": "0.9...

36.357664

72

0.60008

584

4,981

4.941781

0.070205

0.033264

0.099099

0.144837

0.936244

0.919612

0.906098

0.872834

0.871448

0

0.042429

0.242923

4,981

136

73

36.625

0.722885

0.001807

0

0.733333

0

0.219517

0.086519

0

0.209524

1

0.085714

false

0

0.009524

0

0.104762

0

null

0

1

0

1

0

null

0

7

ce56a3baf14f61b65baf66e7b7625cc14fa8d197

1,533

py

Python

ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/losses/__init__.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

2

2020-09-30T00:11:09.000Z

2021-10-04T13:00:38.000Z

ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/losses/__init__.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

null

ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/losses/__init__.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

1

2021-01-28T01:57:41.000Z

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Loss operations for use in neural networks. Note: All the losses are added to the `GraphKeys.LOSSES` collection by default. """ from __future__ import print_function as _print_function...

47.90625

82

0.861709

230

1,533

5.521739

0.295652

0.226772

0.267717

0.307874

0.70315

0.695276

0.510236

0.179528

0

0.078278

1,533

31

83

49.451613

0.898797

0.163731

0

1

0

1

0

true

0

0.95

0

0.95

0.1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

8