xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

7251646cf461bf0c300a8ea920d9b86aae0147b2

714

py

Python

util/config_util.py

Bilal-A-Qureshi/Point-GNN

401eba8f7afaaa811ee1d001f38405629071a42a

[ "MIT" ]

418

2020-02-29T16:48:37.000Z

2022-03-29T03:07:27.000Z

util/config_util.py

Bilal-A-Qureshi/Point-GNN

401eba8f7afaaa811ee1d001f38405629071a42a

[ "MIT" ]

91

2020-03-13T08:25:52.000Z

2022-03-10T01:56:52.000Z

util/config_util.py

Bilal-A-Qureshi/Point-GNN

401eba8f7afaaa811ee1d001f38405629071a42a

[ "MIT" ]

120

2020-03-04T16:21:30.000Z

2022-03-11T08:20:52.000Z

"""This file implements configuration functions. """ import json def load_config(filename): """Load a configuration file.""" with open(filename, 'r') as f: config = json.load(f) return config def save_config(filename, config): """Save a configuration file. """ with open(filename, 'w') as f: json.dump(config, f, sort_keys=True, indent=4) def load_train_config(filename): """Load a configuration file.""" with open(filename, 'r') as f: config = json.load(f) return config def save_train_config(filename, train_config): """Save a configuration file. """ with open(filename, 'w') as f: json.dump(train_config, f, sort_keys=True, indent=4)

27.461538

60

0.652661

99

714

4.606061

0.272727

0.122807

0.157895

0.192982

0.754386

0.640351

0

0.003552

0.211485

714

25

61

28.56

0.806394

0.217087

0

0.533333

0

0.007519

0

1

0.266667

false

0

0.066667

0

0.466667

0

null

0

1

0

1

0

1

0

null

0

1

0

5

9d00141e4d320788f466528cff487ce7d7ecc28d

150

py

Python

arris_dcx960/exceptions.py

ratty76/arris_dcx960-python

27b8f80e760a1f6017d9fce94d6770aba7d25a43

[ "MIT" ]

null

arris_dcx960/exceptions.py

ratty76/arris_dcx960-python

27b8f80e760a1f6017d9fce94d6770aba7d25a43

[ "MIT" ]

null

arris_dcx960/exceptions.py

ratty76/arris_dcx960-python

27b8f80e760a1f6017d9fce94d6770aba7d25a43

[ "MIT" ]

null

"""Python client for Arris DCX960.""" class ArrisDCX960ConnectionError(Exception): pass class ArrisDCX960AuthenticationError(Exception): pass

25

48

0.786667

13

150

9.076923

0.769231

0.220339

0

0.068702

0.126667

150

6

49

25

0.832061

0.206667

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

9d5ff9080bb9489e65513695dcade42928905ef4

51

py

Python

goto_cloud/remote_host_command/public.py

jdepoix/goto_cloud

59bb9923026e1b1dc6e8e08fb6b21300c8e8854a

[ "MIT" ]

2

2018-02-04T23:22:17.000Z

2019-04-15T12:06:04.000Z

goto_cloud/remote_host_command/public.py

jdepoix/goto_cloud

59bb9923026e1b1dc6e8e08fb6b21300c8e8854a

[ "MIT" ]

null

goto_cloud/remote_host_command/public.py

jdepoix/goto_cloud

59bb9923026e1b1dc6e8e08fb6b21300c8e8854a

[ "MIT" ]

null

from .remote_host_command import RemoteHostCommand

25.5

50

0.901961

6

51

7.333333

1

0

0.078431

51

1

51

0.93617

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

19dd37acb76e71058c8465cce9607429d3b9c3a0

169

py

Python

portal_src/ext/renderbug/bin/nodes/nodes_display.py

bug00r/portal-py

388067bb571455f0249daffd04bb51606dc46194

[ "MIT" ]

null

portal_src/ext/renderbug/bin/nodes/nodes_display.py

bug00r/portal-py

388067bb571455f0249daffd04bb51606dc46194

[ "MIT" ]

null

portal_src/ext/renderbug/bin/nodes/nodes_display.py

bug00r/portal-py

388067bb571455f0249daffd04bb51606dc46194

[ "MIT" ]

null

from ext.renderbug.bin.nodes.node_base import BaseNode class TextureDisplayNode(BaseNode): """ { "name": ["Display", "Texture"] } """ pass

15.363636

54

0.591716

16

169

6.1875

0.9375

0

0.260355

169

10

55

16.9

0.792

0.224852

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

5

c215cea128ae7d0a5ae972db52df885b12642af2

873

py

Python

my_library/models/__init__.py

handsomezebra/nlp

cb9fdedc4bc685cefb0829ed65cf39ba2826439c

[ "MIT" ]

6

2018-09-15T01:31:02.000Z

2019-09-30T03:07:18.000Z

my_library/models/__init__.py

handsomezebra/nlp

cb9fdedc4bc685cefb0829ed65cf39ba2826439c

[ "MIT" ]

5

2018-08-05T14:28:24.000Z

2021-08-09T15:23:05.000Z

my_library/models/__init__.py

handsomezebra/nlp

cb9fdedc4bc685cefb0829ed65cf39ba2826439c

[ "MIT" ]

3

2018-08-07T05:06:06.000Z

2019-11-06T14:03:35.000Z

from my_library.models.para_classification import ParaClassification from my_library.models.para_cosine import ParaCosine from my_library.models.esim_cosine import ESIMCosine from my_library.models.contrastive_loss import ContrastiveLoss, CosineContrastiveLoss from my_library.models.self_attentive_lstm import SelfAttentiveLstm, MaskedMultiHeadSelfAttention from my_library.models.transformer import Transformer from my_library.models.transformer2 import Transformer2 from my_library.models.bert_embedder import BertEmbedder from my_library.models.bert_embedder2 import BertEmbedder2 from my_library.models.bert_embedder3 import BertEmbedder3 from my_library.models.sequence_classification import SequenceClassification from my_library.models.csv_file_reader import CsvFileDatasetReader from my_library.models.simple_classifier_predictor import SimpleClassifierPredictor

58.2

97

0.904926

107

873

7.130841

0.373832

0.102228

0.221494

0.323722

0.150721

0

0.007335

0.063001

873

14

98

62.357143

0.925428

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c2283dea0debc5f5971bcd79520f5b8ad37b699c

101

py

Python

enthought/appscripting/action/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/appscripting/action/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/appscripting/action/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from apptools.appscripting.action.api import *

25.25

46

0.841584

13

101

6.153846

0.769231

0

0.108911

101

3

47

33.666667

0.888889

0.118812

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c23bd727ee14a9f3c04aac3b24c67d585714229e

211

py

Python

tests/test_web3.py

lgloege/web3storage

702e423a92e4ecd746f86ce2b3f3aeb405f1781f

[ "MIT" ]

1

2022-03-26T03:15:49.000Z

tests/test_web3.py

lgloege/web3storage

702e423a92e4ecd746f86ce2b3f3aeb405f1781f

[ "MIT" ]

3

2022-03-26T03:28:36.000Z

2022-03-30T17:07:02.000Z

tests/test_web3.py

lgloege/web3storage

702e423a92e4ecd746f86ce2b3f3aeb405f1781f

[ "MIT" ]

null

import web3storage # import pytest # use this when using pytest # import os # ACCESS_TOKEN = os.getenv('ACCESS_TOKEN') # hardcode token # ACCESS_TOKEN = '' def test_client(): web3 = web3storage.Client()

15.071429

42

0.71564

27

211

5.444444

0.592593

0.22449

0

0.017341

0.180095

211

13

43

16.230769

0.83237

0.587678

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

dfd3f31b9edbca7c4bc3f0679ef8e20b513f4ec3

234

py

Python

lib/world/__init__.py

defgsus/thegame

38a627d9108f1418b94b08831fd640dd87fbba83

[ "MIT" ]

1

2021-11-05T11:49:26.000Z

lib/world/__init__.py

defgsus/thegame

38a627d9108f1418b94b08831fd640dd87fbba83

[ "MIT" ]

null

lib/world/__init__.py

defgsus/thegame

38a627d9108f1418b94b08831fd640dd87fbba83

[ "MIT" ]

null

from .TiledImport import TiledImport from .Tileset import Tileset from .VoxelDistanceField import VoxelDistanceField from .WorldChunk import WorldChunk from .WorldEngine import WorldEngine from .WorldProjection import WorldProjection

33.428571

50

0.871795

24

234

8.5

0.333333

0

0.102564

234

6

51

39

0.971429

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dfefe277e3d2fd17a9b81d3c4cadd8fb4532db55

213

py

Python

print_model.py

Numb523/FastSpeech2_emotion

a541ce89ddf66625ee57c0a294d0bec1ae701f0c

[ "MIT" ]

null

print_model.py

Numb523/FastSpeech2_emotion

a541ce89ddf66625ee57c0a294d0bec1ae701f0c

[ "MIT" ]

null

print_model.py

Numb523/FastSpeech2_emotion

a541ce89ddf66625ee57c0a294d0bec1ae701f0c

[ "MIT" ]

null

from model import FastSpeech2, ScheduledOptim from utils.tools import get_configs_of preprocess_config, model_config, train_config = get_configs_of("AISHELL3") print(FastSpeech2(preprocess_config, model_config))

35.5

74

0.85446

28

213

6.178571

0.535714

0.115607

0.138728

0.312139

0

0.015306

0.079812

213

6

75

35.5

0.867347

0

0.037383

0

1

0

true

0

0.5

0

0.5

0.25

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

5f27f31def7c7317ad0085d63e7df21b42309000

15

py

Python

src/vimpdb/tests/scripts/wrongserverlist.py

bheadmaster/vimpdb

fd82405619ce430995f6ad3ec262a40c563a4e20

[ "MIT" ]

null

src/vimpdb/tests/scripts/wrongserverlist.py

bheadmaster/vimpdb

fd82405619ce430995f6ad3ec262a40c563a4e20

[ "MIT" ]

null

src/vimpdb/tests/scripts/wrongserverlist.py

bheadmaster/vimpdb

fd82405619ce430995f6ad3ec262a40c563a4e20

[ "MIT" ]

null

print("WRONG")

7.5

14

0.666667

2

15

5

1

0

0.066667

15

1

15

0.714286

0

0.333333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a078a04ec35bf8b6e81f90541758aae34cee166d

126

py

Python

ood_samplefree/experiments/__init__.py

jm-begon/ood_samplefree

2c659fa8f2d15487f78c811c3fdeded1b1cfe91c

[ "BSD-3-Clause" ]

2

2021-09-14T12:54:30.000Z

2021-10-24T02:23:39.000Z

ood_samplefree/experiments/__init__.py

jm-begon/ood_samplefree

2c659fa8f2d15487f78c811c3fdeded1b1cfe91c

[ "BSD-3-Clause" ]

null

ood_samplefree/experiments/__init__.py

jm-begon/ood_samplefree

2c659fa8f2d15487f78c811c3fdeded1b1cfe91c

[ "BSD-3-Clause" ]

null

from .base import stream_ood_features, OODStreamerWithSummaries __all__ = ["stream_ood_features", "OODStreamerWithSummaries"]

42

63

0.849206

12

126

8.25

0.666667

0.181818

0.343434

0.828283

0

0.071429

126

3

64

42

0.846154

0

0.338583

0.188976

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

5

2602cc57e2949b8f10e332cca4cbacd33acbccfb

2,591

py

Python

Mongo.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

Mongo.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

Mongo.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

from flask import Flask, request, json, Response from pymongo import MongoClient import logging as log import os from MongoAPI import MongoAPI app = Flask(__name__) HOST = os.environ.get('DOCKER_HOST_IP', 'localhost') PORT = os.environ.get('MONGO_PORT', '5000') @app.route('/') def base(): return Response(response=json.dumps({"Status": "UP"}), status=200, mimetype='application/json') @app.route('/mongodb', methods=['GET']) def mongo_read(): data = request.json if data is None or data == {}: return Response(response=json.dumps({"Error": "Please provide connection information"}), status=400, mimetype='application/json') obj1 = MongoAPI(data) response = obj1.read() return Response(response=json.dumps(response), status=200, mimetype='application/json') @app.route('/mongodb', methods=['POST']) def mongo_write(): data = request.json if data is None or data == {} or 'Document' not in data: log.info(data) return Response(response=json.dumps({"Error": "Please provide connection information"}), status=400, mimetype='application/json') obj1 = MongoAPI(data) response = obj1.write(data) return Response(response=json.dumps(response), status=200, mimetype='application/json') @app.route('/mongodb', methods=['PUT']) def mongo_update(): data = request.json if data is None or data == {} or 'Filter' not in data: return Response(response=json.dumps({"Error": "Please provide connection information"}), status=400, mimetype='application/json') obj1 = MongoAPI(data) response = obj1.update() return Response(response=json.dumps(response), status=200, mimetype='application/json') @app.route('/mongodb', methods=['DELETE']) def mongo_delete(): data = request.json if data is None or data == {} or 'Filter' not in data: return Response(response=json.dumps({"Error": "Please provide connection information"}), status=400, mimetype='application/json') obj1 = MongoAPI(data) response = obj1.delete(data) return Response(response=json.dumps(response), status=200, mimetype='application/json') if __name__ == '__main__': app.run(debug=True, port=5001, host='0.0.0.0')

33.649351

96

0.59012

285

2,591

5.298246

0.22807

0.083444

0.131126

0.154967

0.751656

0.731126

0.676159

0

0.025215

0.280587

2,591

76

97

34.092105

0.784871

0

0.5625

0

0.170205

0

1

0.078125

false

0

0.078125

0.015625

0.296875

0

null

0

1

0

null

0

5

261a7dc7db439fd748cb6ed9dec753ff9b9e6369

30

py

Python

tests/__init__.py

AvalonPlex/avalonplex-core

3b3aa263edf5c22e8dec3430ecafa28504a48435

[ "MIT" ]

null

tests/__init__.py

AvalonPlex/avalonplex-core

3b3aa263edf5c22e8dec3430ecafa28504a48435

[ "MIT" ]

1

2018-01-22T07:02:27.000Z

2018-01-22T07:02:36.000Z

tests/__init__.py

AvalonPlex/avalonplex-core

3b3aa263edf5c22e8dec3430ecafa28504a48435

[ "MIT" ]

null

from tests.serialize import *

15

29

0.8

4

30

6

1

0

0.133333

30

1

30

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

268b719e40e39b84a32bf028763cc90695fbd80b

108

py

Python

nsvision/__init__.py

challengerinteractive/nsvision

e7870f21c23987bf3ca833857e60463efe511703

[ "MIT" ]

null

nsvision/__init__.py

challengerinteractive/nsvision

e7870f21c23987bf3ca833857e60463efe511703

[ "MIT" ]

null

nsvision/__init__.py

challengerinteractive/nsvision

e7870f21c23987bf3ca833857e60463efe511703

[ "MIT" ]

null

from ._version import version as __version__ from .image_utils import * from .video_utils import live_video

27

44

0.833333

16

108

5.125

0.5

0.268293

0

0.12963

108

3

45

36

0.87234

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

cd083be42638e60bcda9c9323f35b35c73801f94

204

py

Python

main.py

Baltsat/text_processing

088b130fbf21a4bf4e19dfb68ba3ea33152ce85e

[ "MIT" ]

null

main.py

Baltsat/text_processing

088b130fbf21a4bf4e19dfb68ba3ea33152ce85e

[ "MIT" ]

null

main.py

Baltsat/text_processing

088b130fbf21a4bf4e19dfb68ba3ea33152ce85e

[ "MIT" ]

null

from processing import filter from analyzing import analyze # Text Pre-processing filter('SiriusData.csv', 'Processed_text.txt') # Text Analyzing and Report analyze('Processed_text.txt', 'report.txt')

20.4

46

0.784314

27

204

5.851852

0.518519

0.164557

0.202532

0

0.112745

204

9

47

22.666667

0.872928

0.220588

0

0.387097

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cd1373791ce7325e0a0581b8cf36063d974b5139

24

py

Python

knight/__init__.py

hackerkid/knight

4d0d53046f972e522061fb339778a3d10da3b759

[ "MIT" ]

1

2018-11-10T10:02:34.000Z

knight/__init__.py

hackerkid/knight

4d0d53046f972e522061fb339778a3d10da3b759

[ "MIT" ]

null

knight/__init__.py

hackerkid/knight

4d0d53046f972e522061fb339778a3d10da3b759

[ "MIT" ]

null

from .knight import app

12

23

0.791667

4

24

4.75

1

0

0.166667

24

1

24

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

cd25a03a8d4319a983bcdb23d03e2076d5a7f556

235

py

Python

backend/backend/files/admin.py

Phantom-Troupe-CS251/RedPlag

6c6d7a26fcc5d23cf5bea26d3d1596a87f8dda7c

[ "MIT" ]

null

backend/backend/files/admin.py

Phantom-Troupe-CS251/RedPlag

6c6d7a26fcc5d23cf5bea26d3d1596a87f8dda7c

[ "MIT" ]

7

2021-04-08T20:12:18.000Z

2021-06-10T20:19:13.000Z

backend/backend/files/admin.py

Phantom-Troupe-CS251/RedPlag

6c6d7a26fcc5d23cf5bea26d3d1596a87f8dda7c

[ "MIT" ]

1

2022-01-15T21:57:16.000Z

from django.contrib import admin from .models import UploadFile, OutputFile, HeatMapFile, HistogramFile admin.site.register(UploadFile) admin.site.register(OutputFile) admin.site.register(HeatMapFile) admin.site.register(HistogramFile)

39.166667

70

0.851064

28

235

7.142857

0.428571

0.18

0.34

0

0.059574

235

6

71

39.166667

0.904977

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cd561fd94668ce7f62e7986e57571ba66a1c223a

112

py

Python

RPiserver/scripts/alarm02.py

Chathura-Rathnayake/SoteriaX-RaspberryPi

292797a40c0ef3593bd2b3ea200d5664b5d2c3c6

[ "MIT" ]

null

RPiserver/scripts/alarm02.py

Chathura-Rathnayake/SoteriaX-RaspberryPi

292797a40c0ef3593bd2b3ea200d5664b5d2c3c6

[ "MIT" ]

null

RPiserver/scripts/alarm02.py

Chathura-Rathnayake/SoteriaX-RaspberryPi

292797a40c0ef3593bd2b3ea200d5664b5d2c3c6

[ "MIT" ]

null

import os os.system('mpg321 /home/pi/RPiserver/alarms/2.mp3') print("Alarm02 played successfully") # play sound

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null

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5

cd7872446413dff6c9773c3c8fc86115f0167893

54

py

Python

tests/tt2.py

yuanjia-open-source/sniff-code

421d0898986fcb114e0b36e1a9dee87c49412c03

[ "MIT" ]

null

tests/tt2.py

yuanjia-open-source/sniff-code

421d0898986fcb114e0b36e1a9dee87c49412c03

[ "MIT" ]

null

tests/tt2.py

yuanjia-open-source/sniff-code

421d0898986fcb114e0b36e1a9dee87c49412c03

[ "MIT" ]

null

class A(object): pass class B(object): pass

7.714286

16

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54

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1

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null

0

1

0

5

cd969077e0f8d70e4f7376673e9b506920b83600

87

py

Python

python/testData/paramInfo/KwdFunction.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/paramInfo/KwdFunction.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/paramInfo/KwdFunction.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def foo(a, b, **c): pass foo(<arg1>1, <arg2>2, <arg3>x=3, <arg4>**{'y':4}, <arg5>)

14.5

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18

87

2.333333

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58

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null

0.333333

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null

0

1

0

1

0

5

26b9a17b23653a43ad1ffb0659d1cea657eaedf1

1,211

py

Python

openapi-python-client/openapi_client/api/__init__.py

yanavasileva/camunda-bpm-examples

051f8f28c62845e68ce4059ab64264c5a0bdc009

[ "Apache-2.0" ]

null

openapi-python-client/openapi_client/api/__init__.py

yanavasileva/camunda-bpm-examples

051f8f28c62845e68ce4059ab64264c5a0bdc009

[ "Apache-2.0" ]

null

openapi-python-client/openapi_client/api/__init__.py

yanavasileva/camunda-bpm-examples

051f8f28c62845e68ce4059ab64264c5a0bdc009

[ "Apache-2.0" ]

null

from __future__ import absolute_import # flake8: noqa # import apis into api package from openapi_client.api.condition_api import ConditionApi from openapi_client.api.deployment_api import DeploymentApi from openapi_client.api.engine_api import EngineApi from openapi_client.api.event_subscription_api import EventSubscriptionApi from openapi_client.api.external_task_api import ExternalTaskApi from openapi_client.api.message_api import MessageApi from openapi_client.api.metrics_api import MetricsApi from openapi_client.api.process_definition_api import ProcessDefinitionApi from openapi_client.api.process_instance_api import ProcessInstanceApi from openapi_client.api.schema_log_api import SchemaLogApi from openapi_client.api.signal_api import SignalApi from openapi_client.api.task_api import TaskApi from openapi_client.api.task_attachment_api import TaskAttachmentApi from openapi_client.api.task_comment_api import TaskCommentApi from openapi_client.api.task_identity_link_api import TaskIdentityLinkApi from openapi_client.api.task_local_variable_api import TaskLocalVariableApi from openapi_client.api.task_variable_api import TaskVariableApi from openapi_client.api.version_api import VersionApi

50.458333

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6.142857

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1,211

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null

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1

0

1

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5

26fa63a999028cb7ae6379010c337a88fbea2cf3

145

py

Python

comvex/utils/helpers/__init__.py

shrenik-jain/ComVEX

93622de3a4771cda13b14f8bba52990eb47c2409

[ "Apache-2.0" ]

29

2021-06-14T08:27:43.000Z

2022-02-07T13:40:27.000Z

comvex/utils/helpers/__init__.py

shrenik-jain/ComVEX

93622de3a4771cda13b14f8bba52990eb47c2409

[ "Apache-2.0" ]

3

2021-11-23T16:11:51.000Z

2021-12-21T17:24:36.000Z

comvex/utils/helpers/__init__.py

shrenik-jain/ComVEX

93622de3a4771cda13b14f8bba52990eb47c2409

[ "Apache-2.0" ]

3

2021-06-27T08:18:57.000Z

2021-12-17T07:29:59.000Z

from .functions import name_with_msg, config_pop_argument, get_attr_if_exists, get_act_fnc, get_conv_layer, get_norm_layer from .classes import *

72.5

122

0.862069

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145

4.48

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145

2

123

72.5

0.842105

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1

0

1

0

5

f832381687aea247941c5f054b80e625db3fbff0

98

py

Python

5200_flask_app/app/config.py

F-Zainab/SWArch

e9b5638d0287278f78b21428b2bc5bcfba417585

[ "MIT" ]

null

5200_flask_app/app/config.py

F-Zainab/SWArch

e9b5638d0287278f78b21428b2bc5bcfba417585

[ "MIT" ]

1

2020-02-17T19:32:28.000Z

2020-02-17T20:20:23.000Z

5200_flask_app/app/config.py

F-Zainab/SWArch

e9b5638d0287278f78b21428b2bc5bcfba417585

[ "MIT" ]

3

2020-01-31T05:10:30.000Z

2020-03-04T03:02:56.000Z

import os class Config(): SECRET_KEY = os.environ.get('SECRET_KEY') or 'a-not-that-secret-key'

32.666667

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0.705882

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0.122449

98

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72

32.666667

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false

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null

0

1

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1

0

5

f89ee74b125a9526ea284a3e472adc57effef34c

313

py

Python

Scripts/Basics/04_if.py

MMMahmoodian/fundamental-arcpy

09ad1da8467e6181ad8f86fcbe00e4b7e3c52375

[ "MIT" ]

null

Scripts/Basics/04_if.py

MMMahmoodian/fundamental-arcpy

09ad1da8467e6181ad8f86fcbe00e4b7e3c52375

[ "MIT" ]

null

Scripts/Basics/04_if.py

MMMahmoodian/fundamental-arcpy

09ad1da8467e6181ad8f86fcbe00e4b7e3c52375

[ "MIT" ]

null

x = 5 if x > 100: print "bigger than 100" if x > 50 and x < 100: print "bigger than 50" if x > 10: print "bigger than 10" if x > 40: print "bigger" else: print "less" if x > 100: print "bigger than 100" elif x > 50: print "bigger than 50" elif x > 10: print "bigger than 10"

13.041667

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0.56869

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313

3.236364

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0.505618

0.252809

0.601124

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0

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313

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null

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0

null

0

1

0

1

0

5

f8ad63c24c45b8dfef7c5ec9679e2f9b5f14275e

83

py

Python

Mundo01/Python/aula08b.py

molonti/CursoemVideo---Python

4f6a7af648f7f619d11e95fa3dc7a33b28fcfa11

[ "MIT" ]

null

Mundo01/Python/aula08b.py

molonti/CursoemVideo---Python

4f6a7af648f7f619d11e95fa3dc7a33b28fcfa11

[ "MIT" ]

null

Mundo01/Python/aula08b.py

molonti/CursoemVideo---Python

4f6a7af648f7f619d11e95fa3dc7a33b28fcfa11

[ "MIT" ]

null

import emoji print(emoji.emojize("olá, Mundo :earth_americas:", use_aliases=True))

27.666667

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12

83

5.25

0.916667

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83

2

70

41.5

0.818182

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1

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true

0

0.5

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1

0

null

0

1

0

1

0

1

0

5

6ef7197051a2f7342d34e4983627a0f99ea486be

85

py

Python

redbox/config/types/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

3

2021-02-27T13:40:32.000Z

2021-03-18T18:44:07.000Z

redbox/config/types/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

null

redbox/config/types/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

null

"""Module Imports.""" from .ds_config import DsConfig from ...types import DsTarget

17

31

0.741176

11

85

5.636364

0.818182

0

0.129412

85

4

32

21.25

0.837838

0.176471

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3e2ff8191906ffb2617cceb141885adfafb4240f

412

py

Python

y2018/day14/day14_test.py

ammarnajjar/adventofcode

d8c6416cdad9ca4a254c4888422fa3ce29524685

[ "MIT" ]

null

y2018/day14/day14_test.py

ammarnajjar/adventofcode

d8c6416cdad9ca4a254c4888422fa3ce29524685

[ "MIT" ]

7

2019-11-20T10:04:49.000Z

2022-03-18T00:19:12.000Z

y2018/day14/day14_test.py

ammarnajjar/adventofcode

d8c6416cdad9ca4a254c4888422fa3ce29524685

[ "MIT" ]

null

from day14 import part1 from day14 import part2 def test_part1(): assert part1('37', 5) == '0124515891' assert part1('37', 9) == '5158916779' assert part1('37', 18) == '9251071085' assert part1('37', 2018) == '5941429882' def test_part2(): assert part2('37', '51589') == 9 assert part2('37', '01245') == 5 assert part2('37', '92510') == 18 assert part2('37', '59414') == 2018

24.235294

44

0.597087

54

412

4.518519

0.388889

0.180328

0.213115

0

0.333333

0.213592

412

16

45

25.75

0.419753

0

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true

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1

0

null

0

1

0

1

0

5

3e3c2fe9e697fb836e76bfe1215c570f6e3ac1ce

4,906

py

Python

hikyuu/test/Signal.py

kknet/hikyuu

650814c3e1d32894ccc1263a0fecd6693028d2e3

[ "MIT" ]

1

2021-11-21T08:42:35.000Z

hikyuu/test/Signal.py

kknet/hikyuu

650814c3e1d32894ccc1263a0fecd6693028d2e3

[ "MIT" ]

null

hikyuu/test/Signal.py

kknet/hikyuu

650814c3e1d32894ccc1263a0fecd6693028d2e3

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf8 -*- # gb18030 #=============================================================================== # 作者：fasiondog # 历史：1）20130321, Added by fasiondog #=============================================================================== import unittest from test_init import * class SignalPython(SignalBase): def __init__(self): super(SignalPython, self).__init__("SignalPython") self._x = 0 self.set_param("test", 30) def _reset(self): self._x = 0 def _clone(self): p = SignalPython() p._x = self._x return p def _calculate(self): self._add_buy_signal(Datetime(201201210000)) self._add_sell_signal(Datetime(201201300000)) class SignalTest(unittest.TestCase): def test_SignalBase(self): p = SignalPython() self.assertEqual(p.name, "SignalPython") p.name = "SignalPythonTest" self.assertEqual(p.name, "SignalPythonTest") self.assertEqual(p.should_buy(Datetime(201201210000)), False) self.assertEqual(p.should_sell(Datetime(201201300000)), False) k = sm['sh000001'].get_kdata(Query(-100)) self.assertEqual(k.empty(), False) p.to = k self.assertEqual(p.should_buy(Datetime(201201210000)), True) self.assertEqual(p.should_sell(Datetime(201201300000)), True) self.assertEqual(p.should_buy(Datetime(200101010000)), False) p._add_buy_signal(Datetime(200101010000)) self.assertEqual(p.should_buy(Datetime(200101010000)), True) self.assertEqual(p.should_sell(Datetime(200101030000)), False) p._add_sell_signal(Datetime(200101030000)) self.assertEqual(p.should_sell(Datetime(200101030000)), True) d = p.get_buy_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201210000), Datetime(200101010000)]) d = p.get_sell_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201300000), Datetime(200101030000)]) p_clone = p.clone() d = p_clone.get_buy_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201210000), Datetime(200101010000)]) d = p_clone.get_sell_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201300000), Datetime(200101030000)]) self.assertEqual(p._x, 0) p._x = 10 self.assertEqual(p._x, 10) p.reset() self.assertEqual(p._x, 0) p._x = 20 p_clone = p.clone() self.assertEqual(p_clone._x, 20) p.reset() self.assertEqual(p._x, 0) self.assertEqual(p_clone._x, 20) self.assertEqual(p.get_param("test"), 30) self.assertEqual(p_clone.get_param("test"), 30) p.set_param("test", 10) self.assertEqual(p.get_param("test"), 10) self.assertEqual(p_clone.get_param("test"), 30) def testSignal(self): self._add_buy_signal(Datetime(201201210000)) self._add_sell_signal(Datetime(201201300000)) class TestCrtSG(unittest.TestCase): def test_crtSG(self): p = crtSG(testSignal, params={'test': 30}, name='SG_TEST') self.assertEqual(p.name, "SG_TEST") p.name = "SignalPythonTest" self.assertEqual(p.name, "SignalPythonTest") self.assertEqual(p.should_buy(Datetime(201201210000)), False) self.assertEqual(p.should_sell(Datetime(201201300000)), False) k = sm['sh000001'].get_kdata(Query(-100)) self.assertEqual(k.empty(), False) p.to = k self.assertEqual(p.should_buy(Datetime(201201210000)), True) self.assertEqual(p.should_sell(Datetime(201201300000)), True) self.assertEqual(p.should_buy(Datetime(200101010000)), False) p._add_buy_signal(Datetime(200101010000)) self.assertEqual(p.should_buy(Datetime(200101010000)), True) self.assertEqual(p.should_sell(Datetime(200101030000)), False) p._add_sell_signal(Datetime(200101030000)) self.assertEqual(p.should_sell(Datetime(200101030000)), True) d = p.get_buy_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201210000), Datetime(200101010000)]) d = p.get_sell_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201300000), Datetime(200101030000)]) p_clone = p.clone() d = p_clone.get_buy_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201210000), Datetime(200101010000)]) d = p_clone.get_sell_signal() for i in range(len(d)): self.assertIn(d[i], [Datetime(201201300000), Datetime(200101030000)]) def suite(): return unittest.TestLoader().loadTestsFromTestCase(SignalTest) def suiteTestCrtSG(): return unittest.TestLoader().loadTestsFromTestCase(TestCrtSG)

33.60274

81

0.621688

581

4,906

5.072289

0.134251

0.162878

0.119444

0.778758

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0.715304

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0.214839

4,906

145

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0.624351

0.050958

0

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0

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0.087379

false

0

0.019417

0.165049

0

null

0

1

0

1

0

1

0

null

0

5

3e68e3187a39cd693b6614a513e62762ce4ab4cc

83

py

Python

nemo/nemo/backends/pytorch/tutorials/__init__.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

10

2020-03-17T08:32:06.000Z

2021-04-19T19:03:50.000Z

nemo/nemo/backends/pytorch/tutorials/__init__.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

3

2020-11-13T17:45:41.000Z

2022-03-12T00:28:59.000Z

nemo/nemo/backends/pytorch/tutorials/__init__.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

3

2020-03-10T05:10:07.000Z

2020-12-08T01:33:35.000Z

20.75

39

0.746988

11

83

5.636364

0.818182

0

0.057971

0.168675

83

3

40

27.666667

0.84058

0.445783

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3e7bb0c11d68253beefde7709d98ae60c1ff992a

1,881

py

Python

dbks/cluster/api.py

vincentlam/dbks

a6dedd6281100666b0e8eb6a5a838362d3260fc5

[ "MIT" ]

null

dbks/cluster/api.py

vincentlam/dbks

a6dedd6281100666b0e8eb6a5a838362d3260fc5

[ "MIT" ]

null

dbks/cluster/api.py

vincentlam/dbks

a6dedd6281100666b0e8eb6a5a838362d3260fc5

[ "MIT" ]

null

from dbks.client import Client class ClusterAPI: def __init__(self, client=Client()): self.client = client def create(self, params=None, json=None): return self.client.call("POST", "/clusters/create", json=json) def edit(self, params=None, json=None): return self.client.call("POST", "/clusters/edit", json=json) def start(self, params=None, json=None): return self.client.call("POST", "/clusters/start", json=json) def restart(self, params=None, json=None): return self.client.call("POST", "/clusters/restart", json=json) def resize(self, params=None, json=None): return self.client.call("POST", "/clusters/resize", json=json) def terminate(self, params=None, json=None): return self.client.call("POST", "/clusters/delete", json=json) def delete(self, params=None, json=None): return self.client.call("POST", "/clusters/permanent-delete", json=json) def get(self, params=None, json=None): return self.client.call("GET", "/clusters/get", params=params) def pin(self, params=None, json=None): return self.client.call("POST", "/clusters/pin", json=json) def unpin(self, params=None, json=None): return self.client.call("POST", "/clusters/unpin", json=json) def list(self, params=None, json=None): return self.client.call("GET", "/clusters/list") def list_node_types(self, params=None, json=None): return self.client.call("GET", "/clusters/list-node-types") def runtime_versions(self, params=None, json=None): return self.client.call("GET", "/clusters/spark-versions") def list_zones(self, params=None, json=None): return self.client.call("GET", "/clusters/list-zones") def events(self, params=None, json=None): return self.client.call("POST", "/clusters/events", json=json)

36.173077

80

0.657097

256

1,881

4.796875

0.136719

0.138436

0.17101

0.21987

0.665309

0

0.17916

1,881

51

81

36.882353

0.795337

0

0.167464

0.039872

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0.470588

false

0

0.029412

0.441176

0.970588

0

null

0

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null

0

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0

5

e444f2ef1e83bcc5cb76f830fe4bd8ed585f0bb1

126

py

Python

tests/basic/ex_kwargs_args.py

rooshm/steinerpy

777b55fa94527365322ba5fa675c8be090333715

[ "MIT" ]

3

2021-06-10T16:46:20.000Z

2022-02-11T14:24:15.000Z

tests/basic/ex_kwargs_args.py

rooshm/steinerpy

777b55fa94527365322ba5fa675c8be090333715

[ "MIT" ]

12

2021-03-31T03:31:24.000Z

2021-11-18T21:51:18.000Z

tests/basic/ex_kwargs_args.py

rooshm/steinerpy

777b55fa94527365322ba5fa675c8be090333715

[ "MIT" ]

1

2021-06-13T15:01:24.000Z

def test_args_kwargs(*args, **kwargs): for k in kwargs.keys(): print(k) test_args_kwargs(fire="hot", ice="cold")

21

40

0.642857

20

126

3.85

0.65

0.38961

0.363636

0

0.18254

126

6

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0.747573

0

0.055118

0

1

0.25

false

0

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null

1

0

1

0

null

0

1

0

5

e46e2822578a70b745a6cecde0f2562f4ef8c415

31,261

py

Python

astrobase/lcproc/lcsfeatures.py

pierfra-ro/astrobase

b9f62c59a3ab9cdc1388d409fa281c26f1e6db6c

[ "MIT" ]

45

2017-03-09T19:08:44.000Z

2022-03-24T00:36:28.000Z

astrobase/lcproc/lcsfeatures.py

pierfra-ro/astrobase

b9f62c59a3ab9cdc1388d409fa281c26f1e6db6c

[ "MIT" ]

92

2016-12-21T19:01:20.000Z

2022-01-03T15:28:45.000Z

astrobase/lcproc/lcsfeatures.py

pierfra-ro/astrobase

b9f62c59a3ab9cdc1388d409fa281c26f1e6db6c

[ "MIT" ]

20

2016-12-20T23:01:29.000Z

2021-03-07T16:24:15.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # starfeatures.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Feb 2019 ''' This contains functions to obtain various star magnitude and color features for large numbers of light curves. Useful later for variable star classification. ''' ############# ## LOGGING ## ############# import logging from astrobase import log_sub, log_fmt, log_date_fmt DEBUG = False if DEBUG: level = logging.DEBUG else: level = logging.INFO LOGGER = logging.getLogger(__name__) logging.basicConfig( level=level, style=log_sub, format=log_fmt, datefmt=log_date_fmt, ) LOGDEBUG = LOGGER.debug LOGINFO = LOGGER.info LOGWARNING = LOGGER.warning LOGERROR = LOGGER.error LOGEXCEPTION = LOGGER.exception ############# ## IMPORTS ## ############# import pickle import os import os.path import glob import multiprocessing as mp from concurrent.futures import ProcessPoolExecutor from tornado.escape import squeeze # to turn a list of keys into a dict address # from https://stackoverflow.com/a/14692747 from functools import reduce from operator import getitem def _dict_get(datadict, keylist): return reduce(getitem, keylist, datadict) import numpy as np try: from tqdm import tqdm TQDM = True except Exception: TQDM = False pass ############ ## CONFIG ## ############ NCPUS = mp.cpu_count() ################### ## LOCAL IMPORTS ## ################### from astrobase.varclass import starfeatures from astrobase.lcproc import get_lcformat ################### ## STAR FEATURES ## ################### def get_starfeatures(lcfile, outdir, kdtree, objlist, lcflist, neighbor_radius_arcsec, deredden=True, custom_bandpasses=None, lcformat='hat-sql', lcformatdir=None): '''This runs the functions from :py:func:`astrobase.varclass.starfeatures` on a single light curve file. Parameters ---------- lcfile : str This is the LC file to extract star features for. outdir : str This is the directory to write the output pickle to. kdtree: scipy.spatial.cKDTree This is a `scipy.spatial.KDTree` or `cKDTree` used to calculate neighbor proximity features. This is for the light curve catalog this object is in. objlist : np.array This is a Numpy array of object IDs in the same order as the `kdtree.data` np.array. This is for the light curve catalog this object is in. lcflist : np.array This is a Numpy array of light curve filenames in the same order as `kdtree.data`. This is for the light curve catalog this object is in. neighbor_radius_arcsec : float This indicates the radius in arcsec to search for neighbors for this object using the light curve catalog's `kdtree`, `objlist`, `lcflist`, and in GAIA. deredden : bool This controls if the colors and any color classifications will be dereddened using 2MASS DUST. custom_bandpasses : dict or None This is a dict used to define any custom bandpasses in the `in_objectinfo` dict you want to make this function aware of and generate colors for. Use the format below for this dict:: { '<bandpass_key_1>':{'dustkey':'<twomass_dust_key_1>', 'label':'<band_label_1>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, . ... . '<bandpass_key_N>':{'dustkey':'<twomass_dust_key_N>', 'label':'<band_label_N>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, } Where: `bandpass_key` is a key to use to refer to this bandpass in the `objectinfo` dict, e.g. 'sdssg' for SDSS g band `twomass_dust_key` is the key to use in the 2MASS DUST result table for reddening per band-pass. For example, given the following DUST result table (using http://irsa.ipac.caltech.edu/applications/DUST/):: |Filter_name|LamEff |A_over_E_B_V_SandF|A_SandF|A_over_E_B_V_SFD|A_SFD| |char |float |float |float |float |float| | |microns| |mags | |mags | CTIO U 0.3734 4.107 0.209 4.968 0.253 CTIO B 0.4309 3.641 0.186 4.325 0.221 CTIO V 0.5517 2.682 0.137 3.240 0.165 . . ... The `twomass_dust_key` for 'vmag' would be 'CTIO V'. If you want to skip DUST lookup and want to pass in a specific reddening magnitude for your bandpass, use a float for the value of `twomass_dust_key`. If you want to skip DUST lookup entirely for this bandpass, use None for the value of `twomass_dust_key`. `band_label` is the label to use for this bandpass, e.g. 'W1' for WISE-1 band, 'u' for SDSS u, etc. The 'colors' list contains color definitions for all colors you want to generate using this bandpass. this list contains elements of the form:: ['<bandkey1>-<bandkey2>','<BAND1> - <BAND2>'] where the the first item is the bandpass keys making up this color, and the second item is the label for this color to be used by the frontends. An example:: ['sdssu-sdssg','u - g'] lcformat : str This is the `formatkey` associated with your light curve format, which you previously passed in to the `lcproc.register_lcformat` function. This will be used to look up how to find and read the light curves specified in `basedir` or `use_list_of_filenames`. lcformatdir : str or None If this is provided, gives the path to a directory when you've stored your lcformat description JSONs, other than the usual directories lcproc knows to search for them in. Use this along with `lcformat` to specify an LC format JSON file that's not currently registered with lcproc. Returns ------- str Path to the output pickle containing all of the star features for this object. ''' try: formatinfo = get_lcformat(lcformat, use_lcformat_dir=lcformatdir) if formatinfo: (dfileglob, readerfunc, dtimecols, dmagcols, derrcols, magsarefluxes, normfunc) = formatinfo else: LOGERROR("can't figure out the light curve format") return None except Exception: LOGEXCEPTION("can't figure out the light curve format") return None try: # get the LC into a dict lcdict = readerfunc(lcfile) # this should handle lists/tuples being returned by readerfunc # we assume that the first element is the actual lcdict # FIXME: figure out how to not need this assumption if ( (isinstance(lcdict, (list, tuple))) and (isinstance(lcdict[0], dict)) ): lcdict = lcdict[0] resultdict = {'objectid':lcdict['objectid'], 'info':lcdict['objectinfo'], 'lcfbasename':os.path.basename(lcfile)} # run the coord features first coordfeat = starfeatures.coord_features(lcdict['objectinfo']) # next, run the color features colorfeat = starfeatures.color_features( lcdict['objectinfo'], deredden=deredden, custom_bandpasses=custom_bandpasses ) # run a rough color classification colorclass = starfeatures.color_classification(colorfeat, coordfeat) # finally, run the neighbor features nbrfeat = starfeatures.neighbor_gaia_features(lcdict['objectinfo'], kdtree, neighbor_radius_arcsec) # get the objectids of the neighbors found if any if nbrfeat['nbrindices'].size > 0: nbrfeat['nbrobjectids'] = objlist[nbrfeat['nbrindices']] nbrfeat['closestnbrobjectid'] = objlist[ nbrfeat['closestdistnbrind'] ] nbrfeat['closestnbrlcfname'] = lcflist[ nbrfeat['closestdistnbrind'] ] else: nbrfeat['nbrobjectids'] = np.array([]) nbrfeat['closestnbrobjectid'] = np.array([]) nbrfeat['closestnbrlcfname'] = np.array([]) # update the result dict resultdict.update(coordfeat) resultdict.update(colorfeat) resultdict.update(colorclass) resultdict.update(nbrfeat) outfile = os.path.join(outdir, 'starfeatures-%s.pkl' % squeeze(resultdict['objectid']).replace(' ','-')) with open(outfile, 'wb') as outfd: pickle.dump(resultdict, outfd, protocol=4) return outfile except Exception as e: LOGEXCEPTION('failed to get star features for %s because: %s' % (os.path.basename(lcfile), e)) return None def _starfeatures_worker(task): ''' This wraps starfeatures. ''' try: (lcfile, outdir, kdtree, objlist, lcflist, neighbor_radius_arcsec, deredden, custom_bandpasses, lcformat, lcformatdir) = task return get_starfeatures(lcfile, outdir, kdtree, objlist, lcflist, neighbor_radius_arcsec, deredden=deredden, custom_bandpasses=custom_bandpasses, lcformat=lcformat, lcformatdir=lcformatdir) except Exception: return None def serial_starfeatures(lclist, outdir, lc_catalog_pickle, neighbor_radius_arcsec, maxobjects=None, deredden=True, custom_bandpasses=None, lcformat='hat-sql', lcformatdir=None): '''This drives the `get_starfeatures` function for a collection of LCs. Parameters ---------- lclist : list of str The list of light curve file names to process. outdir : str The output directory where the results will be placed. lc_catalog_pickle : str The path to a catalog containing at a dict with least: - an object ID array accessible with `dict['objects']['objectid']` - an LC filename array accessible with `dict['objects']['lcfname']` - a `scipy.spatial.KDTree` or `cKDTree` object to use for finding neighbors for each object accessible with `dict['kdtree']` A catalog pickle of the form needed can be produced using :py:func:`astrobase.lcproc.catalogs.make_lclist` or :py:func:`astrobase.lcproc.catalogs.filter_lclist`. neighbor_radius_arcsec : float This indicates the radius in arcsec to search for neighbors for this object using the light curve catalog's `kdtree`, `objlist`, `lcflist`, and in GAIA. maxobjects : int The number of objects to process from `lclist`. deredden : bool This controls if the colors and any color classifications will be dereddened using 2MASS DUST. custom_bandpasses : dict or None This is a dict used to define any custom bandpasses in the `in_objectinfo` dict you want to make this function aware of and generate colors for. Use the format below for this dict:: { '<bandpass_key_1>':{'dustkey':'<twomass_dust_key_1>', 'label':'<band_label_1>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, . ... . '<bandpass_key_N>':{'dustkey':'<twomass_dust_key_N>', 'label':'<band_label_N>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, } Where: `bandpass_key` is a key to use to refer to this bandpass in the `objectinfo` dict, e.g. 'sdssg' for SDSS g band `twomass_dust_key` is the key to use in the 2MASS DUST result table for reddening per band-pass. For example, given the following DUST result table (using http://irsa.ipac.caltech.edu/applications/DUST/):: |Filter_name|LamEff |A_over_E_B_V_SandF|A_SandF|A_over_E_B_V_SFD|A_SFD| |char |float |float |float |float |float| | |microns| |mags | |mags | CTIO U 0.3734 4.107 0.209 4.968 0.253 CTIO B 0.4309 3.641 0.186 4.325 0.221 CTIO V 0.5517 2.682 0.137 3.240 0.165 . . ... The `twomass_dust_key` for 'vmag' would be 'CTIO V'. If you want to skip DUST lookup and want to pass in a specific reddening magnitude for your bandpass, use a float for the value of `twomass_dust_key`. If you want to skip DUST lookup entirely for this bandpass, use None for the value of `twomass_dust_key`. `band_label` is the label to use for this bandpass, e.g. 'W1' for WISE-1 band, 'u' for SDSS u, etc. The 'colors' list contains color definitions for all colors you want to generate using this bandpass. this list contains elements of the form:: ['<bandkey1>-<bandkey2>','<BAND1> - <BAND2>'] where the the first item is the bandpass keys making up this color, and the second item is the label for this color to be used by the frontends. An example:: ['sdssu-sdssg','u - g'] lcformat : str This is the `formatkey` associated with your light curve format, which you previously passed in to the `lcproc.register_lcformat` function. This will be used to look up how to find and read the light curves specified in `basedir` or `use_list_of_filenames`. lcformatdir : str or None If this is provided, gives the path to a directory when you've stored your lcformat description JSONs, other than the usual directories lcproc knows to search for them in. Use this along with `lcformat` to specify an LC format JSON file that's not currently registered with lcproc. Returns ------- list of str A list of all star features pickles produced. ''' # make sure to make the output directory if it doesn't exist if not os.path.exists(outdir): os.makedirs(outdir) if maxobjects: lclist = lclist[:maxobjects] # read in the kdtree pickle with open(lc_catalog_pickle, 'rb') as infd: kdt_dict = pickle.load(infd) kdt = kdt_dict['kdtree'] objlist = kdt_dict['objects']['objectid'] objlcfl = kdt_dict['objects']['lcfname'] tasks = [(x, outdir, kdt, objlist, objlcfl, neighbor_radius_arcsec, deredden, custom_bandpasses, lcformat, lcformatdir) for x in lclist] for task in tqdm(tasks): result = _starfeatures_worker(task) return result def parallel_starfeatures(lclist, outdir, lc_catalog_pickle, neighbor_radius_arcsec, maxobjects=None, deredden=True, custom_bandpasses=None, lcformat='hat-sql', lcformatdir=None, nworkers=NCPUS): '''This runs `get_starfeatures` in parallel for all light curves in `lclist`. Parameters ---------- lclist : list of str The list of light curve file names to process. outdir : str The output directory where the results will be placed. lc_catalog_pickle : str The path to a catalog containing at a dict with least: - an object ID array accessible with `dict['objects']['objectid']` - an LC filename array accessible with `dict['objects']['lcfname']` - a `scipy.spatial.KDTree` or `cKDTree` object to use for finding neighbors for each object accessible with `dict['kdtree']` A catalog pickle of the form needed can be produced using :py:func:`astrobase.lcproc.catalogs.make_lclist` or :py:func:`astrobase.lcproc.catalogs.filter_lclist`. neighbor_radius_arcsec : float This indicates the radius in arcsec to search for neighbors for this object using the light curve catalog's `kdtree`, `objlist`, `lcflist`, and in GAIA. maxobjects : int The number of objects to process from `lclist`. deredden : bool This controls if the colors and any color classifications will be dereddened using 2MASS DUST. custom_bandpasses : dict or None This is a dict used to define any custom bandpasses in the `in_objectinfo` dict you want to make this function aware of and generate colors for. Use the format below for this dict:: { '<bandpass_key_1>':{'dustkey':'<twomass_dust_key_1>', 'label':'<band_label_1>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, . ... . '<bandpass_key_N>':{'dustkey':'<twomass_dust_key_N>', 'label':'<band_label_N>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, } Where: `bandpass_key` is a key to use to refer to this bandpass in the `objectinfo` dict, e.g. 'sdssg' for SDSS g band `twomass_dust_key` is the key to use in the 2MASS DUST result table for reddening per band-pass. For example, given the following DUST result table (using http://irsa.ipac.caltech.edu/applications/DUST/):: |Filter_name|LamEff |A_over_E_B_V_SandF|A_SandF|A_over_E_B_V_SFD|A_SFD| |char |float |float |float |float |float| | |microns| |mags | |mags | CTIO U 0.3734 4.107 0.209 4.968 0.253 CTIO B 0.4309 3.641 0.186 4.325 0.221 CTIO V 0.5517 2.682 0.137 3.240 0.165 . . ... The `twomass_dust_key` for 'vmag' would be 'CTIO V'. If you want to skip DUST lookup and want to pass in a specific reddening magnitude for your bandpass, use a float for the value of `twomass_dust_key`. If you want to skip DUST lookup entirely for this bandpass, use None for the value of `twomass_dust_key`. `band_label` is the label to use for this bandpass, e.g. 'W1' for WISE-1 band, 'u' for SDSS u, etc. The 'colors' list contains color definitions for all colors you want to generate using this bandpass. this list contains elements of the form:: ['<bandkey1>-<bandkey2>','<BAND1> - <BAND2>'] where the the first item is the bandpass keys making up this color, and the second item is the label for this color to be used by the frontends. An example:: ['sdssu-sdssg','u - g'] lcformat : str This is the `formatkey` associated with your light curve format, which you previously passed in to the `lcproc.register_lcformat` function. This will be used to look up how to find and read the light curves specified in `basedir` or `use_list_of_filenames`. lcformatdir : str or None If this is provided, gives the path to a directory when you've stored your lcformat description JSONs, other than the usual directories lcproc knows to search for them in. Use this along with `lcformat` to specify an LC format JSON file that's not currently registered with lcproc. nworkers : int The number of parallel workers to launch. Returns ------- dict A dict with key:val pairs of the input light curve filename and the output star features pickle for each LC processed. ''' try: formatinfo = get_lcformat(lcformat, use_lcformat_dir=lcformatdir) if formatinfo: (dfileglob, readerfunc, dtimecols, dmagcols, derrcols, magsarefluxes, normfunc) = formatinfo else: LOGERROR("can't figure out the light curve format") return None except Exception: LOGEXCEPTION("can't figure out the light curve format") return None # make sure to make the output directory if it doesn't exist if not os.path.exists(outdir): os.makedirs(outdir) if maxobjects: lclist = lclist[:maxobjects] # read in the kdtree pickle with open(lc_catalog_pickle, 'rb') as infd: kdt_dict = pickle.load(infd) kdt = kdt_dict['kdtree'] objlist = kdt_dict['objects']['objectid'] objlcfl = kdt_dict['objects']['lcfname'] tasks = [(x, outdir, kdt, objlist, objlcfl, neighbor_radius_arcsec, deredden, custom_bandpasses, lcformat) for x in lclist] with ProcessPoolExecutor(max_workers=nworkers) as executor: resultfutures = executor.map(_starfeatures_worker, tasks) results = list(resultfutures) resdict = {os.path.basename(x):y for (x,y) in zip(lclist, results)} return resdict def parallel_starfeatures_lcdir(lcdir, outdir, lc_catalog_pickle, neighbor_radius_arcsec, fileglob=None, maxobjects=None, deredden=True, custom_bandpasses=None, lcformat='hat-sql', lcformatdir=None, nworkers=NCPUS, recursive=True): '''This runs parallel star feature extraction for a directory of LCs. Parameters ---------- lcdir : list of str The directory to search for light curves. outdir : str The output directory where the results will be placed. lc_catalog_pickle : str The path to a catalog containing at a dict with least: - an object ID array accessible with `dict['objects']['objectid']` - an LC filename array accessible with `dict['objects']['lcfname']` - a `scipy.spatial.KDTree` or `cKDTree` object to use for finding neighbors for each object accessible with `dict['kdtree']` A catalog pickle of the form needed can be produced using :py:func:`astrobase.lcproc.catalogs.make_lclist` or :py:func:`astrobase.lcproc.catalogs.filter_lclist`. neighbor_radius_arcsec : float This indicates the radius in arcsec to search for neighbors for this object using the light curve catalog's `kdtree`, `objlist`, `lcflist`, and in GAIA. fileglob : str The UNIX file glob to use to search for the light curves in `lcdir`. If None, the default value for the light curve format specified will be used. maxobjects : int The number of objects to process from `lclist`. deredden : bool This controls if the colors and any color classifications will be dereddened using 2MASS DUST. custom_bandpasses : dict or None This is a dict used to define any custom bandpasses in the `in_objectinfo` dict you want to make this function aware of and generate colors for. Use the format below for this dict:: { '<bandpass_key_1>':{'dustkey':'<twomass_dust_key_1>', 'label':'<band_label_1>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, . ... . '<bandpass_key_N>':{'dustkey':'<twomass_dust_key_N>', 'label':'<band_label_N>' 'colors':[['<bandkey1>-<bandkey2>', '<BAND1> - <BAND2>'], ['<bandkey3>-<bandkey4>', '<BAND3> - <BAND4>']]}, } Where: `bandpass_key` is a key to use to refer to this bandpass in the `objectinfo` dict, e.g. 'sdssg' for SDSS g band `twomass_dust_key` is the key to use in the 2MASS DUST result table for reddening per band-pass. For example, given the following DUST result table (using http://irsa.ipac.caltech.edu/applications/DUST/):: |Filter_name|LamEff |A_over_E_B_V_SandF|A_SandF|A_over_E_B_V_SFD|A_SFD| |char |float |float |float |float |float| | |microns| |mags | |mags | CTIO U 0.3734 4.107 0.209 4.968 0.253 CTIO B 0.4309 3.641 0.186 4.325 0.221 CTIO V 0.5517 2.682 0.137 3.240 0.165 . . ... The `twomass_dust_key` for 'vmag' would be 'CTIO V'. If you want to skip DUST lookup and want to pass in a specific reddening magnitude for your bandpass, use a float for the value of `twomass_dust_key`. If you want to skip DUST lookup entirely for this bandpass, use None for the value of `twomass_dust_key`. `band_label` is the label to use for this bandpass, e.g. 'W1' for WISE-1 band, 'u' for SDSS u, etc. The 'colors' list contains color definitions for all colors you want to generate using this bandpass. this list contains elements of the form:: ['<bandkey1>-<bandkey2>','<BAND1> - <BAND2>'] where the the first item is the bandpass keys making up this color, and the second item is the label for this color to be used by the frontends. An example:: ['sdssu-sdssg','u - g'] lcformat : str This is the `formatkey` associated with your light curve format, which you previously passed in to the `lcproc.register_lcformat` function. This will be used to look up how to find and read the light curves specified in `basedir` or `use_list_of_filenames`. lcformatdir : str or None If this is provided, gives the path to a directory when you've stored your lcformat description JSONs, other than the usual directories lcproc knows to search for them in. Use this along with `lcformat` to specify an LC format JSON file that's not currently registered with lcproc. nworkers : int The number of parallel workers to launch. Returns ------- dict A dict with key:val pairs of the input light curve filename and the output star features pickle for each LC processed. ''' try: formatinfo = get_lcformat(lcformat, use_lcformat_dir=lcformatdir) if formatinfo: (dfileglob, readerfunc, dtimecols, dmagcols, derrcols, magsarefluxes, normfunc) = formatinfo else: LOGERROR("can't figure out the light curve format") return None except Exception: LOGEXCEPTION("can't figure out the light curve format") return None if not fileglob: fileglob = dfileglob # now find the files LOGINFO('searching for %s light curves in %s ...' % (lcformat, lcdir)) if recursive is False: matching = glob.glob(os.path.join(lcdir, fileglob)) else: matching = glob.glob(os.path.join(lcdir, '**', fileglob), recursive=True) # now that we have all the files, process them if matching and len(matching) > 0: LOGINFO('found %s light curves, getting starfeatures...' % len(matching)) return parallel_starfeatures(matching, outdir, lc_catalog_pickle, neighbor_radius_arcsec, deredden=deredden, custom_bandpasses=custom_bandpasses, maxobjects=maxobjects, lcformat=lcformat, lcformatdir=lcformatdir, nworkers=nworkers) else: LOGERROR('no light curve files in %s format found in %s' % (lcformat, lcdir)) return None

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5

e47d54aef24aaf56473055dc571b616717890f3d

27

py

Python

em_site/apps/store/api/views/__init__.py

RohanJnr/enlighten-me--SpaceJam

3e49701489fe0400d947ef5104a4beb264ab0d2c

[ "MIT" ]

null

em_site/apps/store/api/views/__init__.py

RohanJnr/enlighten-me--SpaceJam

3e49701489fe0400d947ef5104a4beb264ab0d2c

[ "MIT" ]

null

em_site/apps/store/api/views/__init__.py

RohanJnr/enlighten-me--SpaceJam

3e49701489fe0400d947ef5104a4beb264ab0d2c

[ "MIT" ]

null

from .bundle_offer import *

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5

e4b5e6e05339b587ceb4e6a6d8384c8ad3b8aba6

866

py

Python

create_game.py

Lyniat/dungeon-hop

e8d19b2c933feb6665935f37f73785626698ea09

[ "MIT" ]

null

create_game.py

Lyniat/dungeon-hop

e8d19b2c933feb6665935f37f73785626698ea09

[ "MIT" ]

null

create_game.py

Lyniat/dungeon-hop

e8d19b2c933feb6665935f37f73785626698ea09

[ "MIT" ]

null

import time import re import os version = time.time() print "actual version will be: "+str(version) lines = [] with open('./main/client/GameInstance.js') as infile: for line in infile: line = re.sub('GAME_VERSION.*,','GAME_VERSION = '+str(version)+',',line) lines.append(line) infile.close() print "new content will be: "+str(lines) with open('./main/client/GameInstance.js', 'w') as outfile: for line in lines: outfile.write(line) outfile.close() lines = [] with open('./server/server.js') as infile: for line in infile: line = re.sub('GAME_VERSION.*,','GAME_VERSION = '+str(version)+',',line) lines.append(line) infile.close() print "new content will be: "+str(lines) with open('./server/server.js', 'w') as outfile: for line in lines: outfile.write(line) outfile.close() os.system('sh ./obfuscate.sh')

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e4da68672de11eb443b1792ff3858004d85bdcef

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py

Python

src/sact/epoch/tests/__init__.py

0k/sact.epoch

6b0a47068992ff6a73f0f1da36090affad7c8be0

[ "BSD-3-Clause" ]

null

src/sact/epoch/tests/__init__.py

0k/sact.epoch

6b0a47068992ff6a73f0f1da36090affad7c8be0

[ "BSD-3-Clause" ]

null

src/sact/epoch/tests/__init__.py

0k/sact.epoch

6b0a47068992ff6a73f0f1da36090affad7c8be0

[ "BSD-3-Clause" ]

null

# Package placeholder

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0

null

0

1

0

5

900fd7d9a200d1ffbe0c9e2b56254302a567445c

66

py

Python

backend/lextool/views/enwords/__init__.py

Lmineor/Tools

cbf58baa84524e763ba6c2bd0c796de912d3f690

[ "MIT" ]

1

2020-05-18T13:23:35.000Z

backend/lextool/views/enwords/__init__.py

Lmineor/Tools

cbf58baa84524e763ba6c2bd0c796de912d3f690

[ "MIT" ]

null

backend/lextool/views/enwords/__init__.py

Lmineor/Tools

cbf58baa84524e763ba6c2bd0c796de912d3f690

[ "MIT" ]

null

from flask import Blueprint words = Blueprint('words', __name__)

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null

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1

0

1

0

5

901658fbc30fa0739e35a23f936febfdc1c93c64

22

py

Python

api/app/modelnet/__init__.py

Stevencibambo/face-detection-based-web

9e7d2d37977f242ef1ec8701ef61e8b79a64941b

[ "MIT" ]

null

api/app/modelnet/__init__.py

Stevencibambo/face-detection-based-web

9e7d2d37977f242ef1ec8701ef61e8b79a64941b

[ "MIT" ]

null

api/app/modelnet/__init__.py

Stevencibambo/face-detection-based-web

9e7d2d37977f242ef1ec8701ef61e8b79a64941b

[ "MIT" ]

null

# modelnet/__init__.py

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1

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null

0

1

0

5

902892fe378fbeb3d62ab20a7216cc1ec8de696c

99

py

Python

senpy/config.py

antoniofll/sefarad4.0-testing

1b50f479ee503e5e23345ab0388eb6c2608ab73d

[ "Apache-2.0" ]

7

2016-09-30T12:42:07.000Z

2021-06-13T15:34:31.000Z

senpy/config.py

antoniofll/sefarad4.0-testing

1b50f479ee503e5e23345ab0388eb6c2608ab73d

[ "Apache-2.0" ]

null

senpy/config.py

antoniofll/sefarad4.0-testing

1b50f479ee503e5e23345ab0388eb6c2608ab73d

[ "Apache-2.0" ]

2

2016-10-06T19:36:26.000Z

2017-02-24T08:38:14.000Z

import os SERVER_PORT = os.environ.get("SERVER_PORT", 5000) DEBUG = os.environ.get("DEBUG", True)

19.8

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1

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null

0

1

0

5

902f8b24480bd6b0eddbd51c5a7cd964970758b5

300

py

Python

models/user.py

vexy/flask-auth-template

0538232fe5158b070a52305cd7c8e94f299c68e6

[ "MIT" ]

13

2020-03-01T12:52:49.000Z

2022-03-13T21:21:35.000Z

models/user.py

salvatore287/flask-auth-template

27ad1d1994830b4fad644f2dafb30cd38faa731f

[ "MIT" ]

null

models/user.py

salvatore287/flask-auth-template

27ad1d1994830b4fad644f2dafb30cd38faa731f

[ "MIT" ]

2

2021-03-13T12:44:57.000Z

2021-05-27T01:01:12.000Z

# -*- coding: utf-8 -*- class User(): def __init__(self, username = "", password = "", email = ""): self.username = username self.password = password self.email = email def __str__(self): return f"[{self.username}] - [pwd:{self.password} eml:{self.email}]"

27.272727

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300

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0

1

0

1

0

5

5f49305274da7a9bee3eb3cb66a1df994ea7ab8b

271

py

Python

server/wellClusterShares.py

kdinkla/ProtoMPDA

08ec7de3a24ea07da19062b009ca81a0f5a9c924

[ "MIT" ]

3

2017-12-07T19:11:24.000Z

2020-07-03T07:51:09.000Z

server/wellClusterShares.py

kdinkla/Screenit

08ec7de3a24ea07da19062b009ca81a0f5a9c924

[ "MIT" ]

null

server/wellClusterShares.py

kdinkla/Screenit

08ec7de3a24ea07da19062b009ca81a0f5a9c924

[ "MIT" ]

null

import tangelo tangelo.paths(".") import compute @tangelo.types(dataSet=compute.dataSet, features=compute.featureSet, exemplars=compute.exemplarDict) def run(dataSet, features, exemplars): return compute.wellClusterSharesFlat(dataSet, features, exemplars).to_json()

33.875

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7.266667

0.533333

0.206422

0.220183

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0.077491

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7

101

38.714286

0.872

0

0.00369

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

null

1

0

1

0

null

0

1

0

5

5f52e51df660a9dbf8a9907f66708e3597ed4197

152

py

Python

bflib/items/weapons/melee/base.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

3

2017-10-28T11:28:38.000Z

2018-09-12T09:47:00.000Z

bflib/items/weapons/melee/base.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

null

bflib/items/weapons/melee/base.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

null

from bflib.items import listing from bflib.items.weapons.base import Weapon @listing.register_type class MeleeWeapon(Weapon): melee_damage = None

19

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0.802632

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152

5.714286

0.714286

0.15

0.233333

0

0.131579

152

7

44

21.714286

0.909091

0

1

0

false

0

0.4

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0.8

0

1

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null

0

1

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1

0

null

0

1

0

1

0

5

395ffc199b0817ea5d72f702aab954939ca9920b

55

py

Python

swin_transformer/swint/__init__.py

satokiyo/AdelaiDet

b051ca48eeef7468ca6e55b9c529453cfb069c74

[ "BSD-2-Clause" ]

120

2021-04-14T09:00:12.000Z

2022-03-29T07:09:29.000Z

swin_transformer/swint/__init__.py

satokiyo/AdelaiDet

b051ca48eeef7468ca6e55b9c529453cfb069c74

[ "BSD-2-Clause" ]

19

2021-04-15T06:11:54.000Z

2022-03-27T03:31:21.000Z

swin_transformer/swint/__init__.py

satokiyo/AdelaiDet

b051ca48eeef7468ca6e55b9c529453cfb069c74

[ "BSD-2-Clause" ]

26

2021-04-15T02:59:19.000Z

2022-03-29T21:24:46.000Z

from .swin_transformer import * from .config import *

18.333333

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7

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5.857143

0.714286

0

0.163636

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0

1

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true

0

1

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1

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1

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1

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null

0

1

0

1

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1

0

5

399bff97ee8de5d59fb7969af12bc8e913e27293

271

py

Python

core/data_structure/exception.py

HuynhThanhQuan/graph-network

e429a641e7baecad9765700cac580cfbdedbe1bd

[ "MIT" ]

null

core/data_structure/exception.py

HuynhThanhQuan/graph-network

e429a641e7baecad9765700cac580cfbdedbe1bd

[ "MIT" ]

11

2020-11-13T18:29:37.000Z

2022-02-10T00:25:15.000Z

core/data_structure/exception.py

HuynhThanhQuan/graph-network

e429a641e7baecad9765700cac580cfbdedbe1bd

[ "MIT" ]

null

class GraphDataStructureException(Exception): def __init__(self, message): super().__init__(message) class UninitializedGraph(GraphDataStructureException): def __init__(self, message='Graph object is not initialized'): super().__init__(message)

30.111111

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0.193548

0

0.154982

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8

67

33.875

0.812227

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0.333333

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1

0.333333

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0

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1

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0

1

0

1

0

null

0

1

0

1

0

5

39c42bd87c6f19a416294001dc95bc4a82218919

219

py

Python

tests/easy/test_merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

tests/easy/test_merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

tests/easy/test_merge_sorted_array_88.py

ahmet9cengiz/leetCode

9e9a61f059072d7791dd19706b7a3e0d0a446669

[ "MIT" ]

null

from src.easy import merge_sorted_array_88 def test_merge_sorted_array(): s = merge_sorted_array_88.Solution() assert s.merge_sorted_array() assert s.merge_sorted_array() assert s.merge_sorted_array()

24.333333

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219

4.529412

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8

43

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1

0

1

0

null

0

1

0

5

39d7feedd0e28334beeef2f60c44bce2fb06d0ff

413

py

Python

test/core/test_workspace.py

sixty-north/structurizr-python

856d0476935952c256981f3628663915768ee85e

[ "Apache-2.0" ]

15

2017-07-20T20:43:40.000Z

2021-11-12T11:25:01.000Z

test/core/test_workspace.py

sixty-north/structurizr-python

856d0476935952c256981f3628663915768ee85e

[ "Apache-2.0" ]

2

2017-06-05T17:41:05.000Z

2018-09-11T08:18:07.000Z

test/core/test_workspace.py

sixty-north/structurizr-python

856d0476935952c256981f3628663915768ee85e

[ "Apache-2.0" ]

7

2017-08-16T19:51:24.000Z

2020-09-24T09:47:35.000Z

import pytest class TestWorkspace: @pytest.mark.xfail(reason="Not yet implemented") def test_set_source_does_not_throw_an_exception_when_a_none_url_is_specified(self, workspace): workspace.set_source(None) @pytest.mark.xfail(reason="Not yet implemented") def test_set_source_does_not_throw_an_exception_when_an_empty_url_is_specified(self, workspace): workspace.set_source("")

31.769231

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0.845638

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12

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0

1

0

null

0

1

0

5

39e4ab530071a380126b617bfbaa889dc10555dc

2,058

py

Python

fytnet/migrations/0005_auto_20210315_1702.py

Code-Institute-Submissions/danielboots-fytletic

67c3000a4b681d7f76255ab11db841a7f2ba613e

[ "OLDAP-2.3" ]

1

2021-03-31T18:54:25.000Z

fytnet/migrations/0005_auto_20210315_1702.py

Code-Institute-Submissions/danielboots-fytletic

67c3000a4b681d7f76255ab11db841a7f2ba613e

[ "OLDAP-2.3" ]

null

fytnet/migrations/0005_auto_20210315_1702.py

Code-Institute-Submissions/danielboots-fytletic

67c3000a4b681d7f76255ab11db841a7f2ba613e

[ "OLDAP-2.3" ]

1

2021-03-31T11:00:11.000Z

# Generated by Django 3.1.6 on 2021-03-15 17:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('fytnet', '0004_auto_20210315_1552'), ] operations = [ migrations.AddField( model_name='fighter', name='draw', field=models.IntegerField(default=0), ), migrations.AddField( model_name='fighter', name='email', field=models.CharField(default='DEFAULT VALUE', max_length=50), ), migrations.AddField( model_name='fighter', name='facebook', field=models.URLField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name='fighter', name='instagram', field=models.URLField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name='fighter', name='is_verified', field=models.BooleanField(default=False), ), migrations.AddField( model_name='fighter', name='loss', field=models.IntegerField(default=0), ), migrations.AddField( model_name='fighter', name='twitter', field=models.URLField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name='fighter', name='video', field=models.URLField(blank=True, null=True), ), migrations.AddField( model_name='fighter', name='web', field=models.URLField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name='fighter', name='whatsapp', field=models.CharField(default='DEFAULT VALUE', max_length=50), ), migrations.AddField( model_name='fighter', name='win', field=models.IntegerField(default=0), ), ]

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f2d07ec872be66cc3029d7de191b5b45afa75f3f

126

py

Python

prebuild/jupyter-caf-kernel/jupyter_caf_kernel/__main__.py

sourceryinstitute/jupyter-CAF-kernel

d09464d7c02107d6e9779962619d70a11011d32d

[ "MIT" ]

57

2017-06-16T00:00:24.000Z

2022-02-13T02:30:59.000Z

prebuild/jupyter-caf-kernel/jupyter_caf_kernel/__main__.py

ZhouHaoNB/jupyterNotebookDemo

95617939032acfd0e4cdbc2dfa9330ac00208993

[ "MIT" ]

5

2017-09-06T16:22:39.000Z

2022-01-24T04:40:42.000Z

prebuild/jupyter-caf-kernel/jupyter_caf_kernel/__main__.py

ZhouHaoNB/jupyterNotebookDemo

95617939032acfd0e4cdbc2dfa9330ac00208993

[ "MIT" ]

12

2017-09-07T13:56:12.000Z

2022-01-24T19:03:53.000Z

from ipykernel.kernelapp import IPKernelApp from .kernel import CafKernel IPKernelApp.launch_instance(kernel_class=CafKernel)

31.5

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0.071429

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52

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1

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1

0

5

f2de4259fb783ad06ec9b0a2683ab1b365f14174

244

py

Python

magma/types/__init__.py

leonardt/magma

d3e8c9500ec3b167df8ed067e0c0305781c94ab6

[ "MIT" ]

167

2017-10-08T00:59:22.000Z

2022-02-08T00:14:39.000Z

magma/types/__init__.py

leonardt/magma

d3e8c9500ec3b167df8ed067e0c0305781c94ab6

[ "MIT" ]

719

2017-08-29T17:58:28.000Z

2022-03-31T23:39:18.000Z

magma/types/__init__.py

leonardt/magma

d3e8c9500ec3b167df8ed067e0c0305781c94ab6

[ "MIT" ]

14

2017-09-01T03:25:16.000Z

2021-11-05T13:30:24.000Z

from .bit_pattern import BitPattern from .valid import Valid from .ready_valid import (ReadyValid, Producer, Consumer, Decoupled, EnqIO, DeqIO, Irrevocable, Monitor, is_producer, is_consumer)

40.666667

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0

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244

5

76

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true

0

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5

f2f88dc774c0ee1564a96d4960199e5001d4f45c

143

py

Python

kew/handlers/stdout.py

smpio/kube-event-watcher

ede19ba04c8b847a28170808f57c5751c3729ff8

[ "MIT" ]

null

kew/handlers/stdout.py

smpio/kube-event-watcher

ede19ba04c8b847a28170808f57c5751c3729ff8

[ "MIT" ]

null

kew/handlers/stdout.py

smpio/kube-event-watcher

ede19ba04c8b847a28170808f57c5751c3729ff8

[ "MIT" ]

2

2018-07-09T16:35:40.000Z

2018-12-12T15:40:19.000Z

def stdout_handler(config): def handle(event): print('>', event._formatted) print(event.message.strip()) return handle

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0.636364

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null

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8404485500c2a4ca8cb2653e82ead5edaffc8f67

12,662

py

Python

pyBoard v1.1(STM32F405)/3.拓展实验/3.LCD液晶屏显示/2.4_ILI9341/fonts/veram_14.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

73

2020-05-02T13:48:27.000Z

2022-03-26T13:15:10.000Z

pyBoard v1.1(STM32F405)/3.拓展实验/3.LCD液晶屏显示/2.4_ILI9341/fonts/veram_14.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

null

pyBoard v1.1(STM32F405)/3.拓展实验/3.LCD液晶屏显示/2.4_ILI9341/fonts/veram_14.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

50

2020-05-15T13:57:28.000Z

2022-03-30T14:03:33.000Z

# Created from VeraMono.ttf with freetype-generator. # freetype-generator created by Meurisse D ( MCHobby.be ). VeraMono_14 = { 'width' : 0x9, 'height' : 0xf, 32:(), 33:( 0xe7e0,), 34:( 0xf800, 0x8000, 0xf800), 35:( 0x8800, 0xe900, 0x9f00, 0x89e0, 0xf900, 0x8f80, 0x89e0, 0x8100), 36:( 0x88e0, 0x9190, 0x9110, 0xfffc, 0x9110, 0x9310, 0x8e20), 37:( 0x80c0, 0x8920, 0x8520, 0x84c0, 0xb200, 0xca00, 0xc900, 0xb000), 38:( 0xbc00, 0xe3c0, 0xc320, 0xc420, 0xd820, 0xa000, 0xdc00), 39:( 0xf800,), 40:( 0x8fc0, 0xb038, 0xc008), 41:( 0xc008, 0xf030, 0x8fc0), 42:( 0xa400, 0xa800, 0x9800, 0xfe00, 0x9800, 0xa800, 0xa400), 43:( 0x8800, 0x8800, 0x8800, 0xff00, 0x8800, 0x8800, 0x8800), 44:( 0xc000, 0xb800, 0x9800), 45:( 0xc000, 0xc000, 0xc000, 0xc000), 46:( 0xe000, 0xe000), 47:( 0xc000, 0xb800, 0x8600, 0x8180, 0x8070, 0x8008), 48:( 0x9f80, 0xa040, 0xc020, 0xc220, 0xc020, 0xa040, 0x9f80), 49:( 0xc040, 0xc020, 0xffe0, 0xc000, 0xc000), 50:( 0xc040, 0xe020, 0xd020, 0xc820, 0xcc20, 0xc660, 0xc1c0), 51:( 0xa040, 0xc020, 0xc220, 0xc220, 0xc220, 0xe520, 0xbdc0), 52:( 0x8c00, 0x8a00, 0x8980, 0x88c0, 0x8820, 0xffe0, 0x8800), 53:( 0xa3e0, 0xc120, 0xc120, 0xc120, 0xc120, 0xa220, 0x9c00), 54:( 0x9f80, 0xa4c0, 0xc260, 0xc220, 0xc220, 0xe620, 0xbc40), 55:( 0x8020, 0xc020, 0xb020, 0x8c20, 0x8320, 0x80e0, 0x8060), 56:( 0xbdc0, 0xe620, 0xc220, 0xc220, 0xc220, 0xe620, 0xbdc0), 57:( 0xa3c0, 0xc660, 0xc420, 0xc420, 0xe420, 0xb240, 0x9f80), 58:( 0xe300, 0xe300), 59:( 0xc000, 0xb8c0, 0x98c0), 60:( 0x8800, 0x9400, 0x9400, 0xb600, 0xa200, 0xa200, 0xc100), 61:( 0xc800, 0xc800, 0xc800, 0xc800, 0xc800, 0xc800, 0xc800), 62:( 0xc100, 0xa200, 0xa200, 0xb600, 0x9400, 0x9400, 0x8800), 63:( 0x8040, 0x8020, 0xee20, 0x8320, 0x81c0), 64:( 0x8fc0, 0xb030, 0xa018, 0xc788, 0xc848, 0xc858, 0x8ff0), 65:( 0xe000, 0x9c00, 0x8bc0, 0x8820, 0x8bc0, 0x9c00, 0xe000), 66:( 0xffe0, 0xc220, 0xc220, 0xc220, 0xc220, 0xe620, 0xbdc0), 67:( 0x9f80, 0xa040, 0xc020, 0xc020, 0xc020, 0xc020, 0xa040), 68:( 0xffe0, 0xc020, 0xc020, 0xc020, 0xc020, 0xa040, 0x9f80), 69:( 0xffe0, 0xc220, 0xc220, 0xc220, 0xc220, 0xc220, 0xc220), 70:( 0xffe0, 0x8220, 0x8220, 0x8220, 0x8220, 0x8220, 0x8220), 71:( 0x9f80, 0xa040, 0xc020, 0xc020, 0xc020, 0xc420, 0xbc40), 72:( 0xffe0, 0x8200, 0x8200, 0x8200, 0x8200, 0x8200, 0xffe0), 73:( 0xc020, 0xc020, 0xffe0, 0xc020, 0xc020), 74:( 0xa000, 0xc000, 0xc020, 0xc020, 0xe020, 0xbfe0), 75:( 0xffe0, 0x8200, 0x8300, 0x8c80, 0x9840, 0xa020, 0xc000), 76:( 0xffe0, 0xc000, 0xc000, 0xc000, 0xc000, 0xc000, 0xc000), 77:( 0xffe0, 0x8060, 0x8380, 0x8400, 0x8380, 0x8060, 0xffe0), 78:( 0xffe0, 0x8060, 0x8180, 0x8600, 0x9800, 0xe000, 0xffe0), 79:( 0x9f80, 0xa040, 0xc020, 0xc020, 0xc020, 0xa040, 0x9f80), 80:( 0xffe0, 0x8420, 0x8420, 0x8420, 0x8420, 0x8660, 0x83c0), 81:( 0x87e0, 0x8810, 0x9008, 0x9008, 0xb008, 0xf810, 0x87e0), 82:( 0xffe0, 0x8420, 0x8420, 0x8420, 0x8420, 0x8a60, 0xb3c0, 0xc000), 83:( 0xa1c0, 0xc240, 0xc220, 0xc420, 0xc420, 0xe420, 0xb840), 84:( 0x8020, 0x8020, 0x8020, 0xffe0, 0x8020, 0x8020, 0x8020), 85:( 0xbfe0, 0xe000, 0xc000, 0xc000, 0xc000, 0xe000, 0xbfe0), 86:( 0x8060, 0x8380, 0xbc00, 0xc000, 0xbc00, 0x8380, 0x8060), 87:( 0x81e0, 0x8e00, 0xf000, 0x8f00, 0x8f00, 0xf000, 0x8e00, 0x81e0, 0x8000), 88:( 0xc020, 0xb040, 0x8d80, 0x8200, 0x8d80, 0xb040, 0xc020), 89:( 0x8020, 0x80c0, 0x8300, 0xfe00, 0x8300, 0x80c0, 0x8020), 90:( 0xe020, 0xf020, 0xc820, 0xc620, 0xc120, 0xc0e0, 0xc060), 91:( 0xfff8, 0xc008, 0xc008), 92:( 0x8008, 0x8070, 0x8180, 0x8600, 0xb800, 0xc000), 93:( 0xc008, 0xc008, 0xfff8), 94:( 0xc000, 0xe000, 0x9000, 0x8800, 0x9000, 0xe000, 0xc000), 95:( 0xc000, 0xc000, 0xc000, 0xc000, 0xc000, 0xc000, 0xc000), 96:( 0x9000, 0xb000, 0xc000), 97:( 0xb800, 0xc500, 0xc480, 0xc480, 0xa480, 0xff00), 98:( 0xfff0, 0xa180, 0xc080, 0xc080, 0xe180, 0x9e00), 99:( 0x9e00, 0xa100, 0xc080, 0xc080, 0xc080, 0xa100), 100:( 0x9e00, 0xe180, 0xc080, 0xc080, 0xa180, 0xfff0), 101:( 0x9e00, 0xa580, 0xc480, 0xc480, 0xc580, 0xa700), 102:( 0x8080, 0x8080, 0xffe0, 0x8090, 0x8090, 0x8090), 103:( 0x83c0, 0xac30, 0xc810, 0xc810, 0xc420, 0xbff0), 104:( 0xfff0, 0x8100, 0x8080, 0x8080, 0x8080, 0xff00), 105:( 0xc000, 0xc080, 0xc080, 0xffb0, 0xc000, 0xc000, 0xc000), 106:( 0xc000, 0xc010, 0xc010, 0xbff6), 107:( 0xfff0, 0x8400, 0x8600, 0x9900, 0xa080, 0xc000), 108:( 0x8010, 0x8010, 0x8010, 0xbff0, 0xc000, 0xc000, 0xc000), 109:( 0xff80, 0x8080, 0x8080, 0xff80, 0x8080, 0x8080, 0xff00), 110:( 0xff80, 0x8100, 0x8080, 0x8080, 0x8080, 0xff00), 111:( 0xbf00, 0xe180, 0xc080, 0xc080, 0xe180, 0xbf00), 112:( 0xfff0, 0x8c20, 0x8810, 0x8810, 0x8c30, 0x83c0), 113:( 0x83c0, 0x8c30, 0x8810, 0x8810, 0x8420, 0xfff0), 114:( 0xff80, 0x8180, 0x8080, 0x8080, 0x8100), 115:( 0xa700, 0xc480, 0xc480, 0xc880, 0xc880, 0xb900), 116:( 0x8080, 0x8080, 0xbfe0, 0xc080, 0xc080, 0xc080), 117:( 0xbf80, 0xc000, 0xc000, 0xc000, 0xa000, 0xff80), 118:( 0x8180, 0x8e00, 0xf000, 0xf000, 0x8e00, 0x8180), 119:( 0x8180, 0x9e00, 0xe000, 0x9e00, 0x9e00, 0xe000, 0x9e00, 0x8180), 120:( 0xc080, 0xb100, 0x8e00, 0x8e00, 0xb100, 0xc080), 121:( 0x8010, 0xc0e0, 0xe300, 0x9e00, 0x81c0, 0x8030), 122:( 0xe080, 0xd080, 0xc880, 0xc480, 0xc280, 0xc180), 123:( 0x8100, 0x8100, 0xbef8, 0xc004, 0xc004), 124:( 0xfffe,), 125:( 0xc004, 0xc004, 0xbef8, 0x8100, 0x8100), 126:( 0xc000, 0xa000, 0xa000, 0xa000, 0xc000, 0xc000, 0xa000), 127:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 128:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 129:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 130:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 131:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 132:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 133:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 134:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 135:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 136:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 137:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 138:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 139:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 140:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 141:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 142:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 143:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 144:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 145:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 146:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 147:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 148:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 149:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 150:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 151:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 152:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 153:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 154:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 155:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 156:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 157:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 158:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 159:( 0xfff8, 0xc008, 0xc008, 0xc008, 0xc008, 0xc008, 0xfff8), 161:( 0xfe60,), 162:( 0x8780, 0x8840, 0x9020, 0xfff8, 0x9020, 0x8840), 163:( 0xc000, 0xc400, 0xffc0, 0xc460, 0xc420, 0xc420, 0xc040), 164:( 0xc100, 0xbe00, 0xa200, 0xa200, 0xa200, 0xbe00, 0xc100), 165:( 0x8520, 0x8540, 0x8580, 0xfe00, 0x8580, 0x8540, 0x8520), 166:( 0xfcf8,), 167:( 0xc360, 0xc4d0, 0xcc90, 0xc890, 0xd910, 0xb710), 168:( 0xc000, 0x8000, 0xc000), 169:( 0x9e00, 0xa100, 0xcc80, 0xd280, 0xd280, 0xd280, 0xa100, 0x9e00), 170:( 0xcc80, 0xd280, 0xd280, 0xca80, 0xdf00), 171:( 0x9800, 0xbc00, 0xe600, 0x9800, 0xbc00, 0xe600), 172:( 0x9000, 0x9000, 0x9000, 0x9000, 0x9000, 0x9000, 0xf000), 173:( 0xc000, 0xc000, 0xc000, 0xc000), 174:( 0x9e00, 0xa100, 0xde80, 0xca80, 0xda80, 0xd680, 0xa100, 0x9e00), 175:( 0xc000, 0xc000, 0xc000, 0xc000), 176:( 0xb000, 0xc800, 0xc800, 0xb000), 177:( 0xc200, 0xc200, 0xc200, 0xcf80, 0xc200, 0xc200, 0xc200), 178:( 0xc200, 0xe200, 0xd200, 0xcc00), 179:( 0xc200, 0xca00, 0xca00, 0xb600), 180:( 0xc000, 0xb000, 0x9000), 181:( 0xfff0, 0x8800, 0x8800, 0x8800, 0x8c00, 0x8ff0, 0x8800), 182:( 0x81e0, 0x81e0, 0x83f0, 0x83f0, 0xfff0, 0x8010, 0xfff0), 183:( 0xe000, 0xe000), 184:( 0xc000, 0xd000, 0xe000), 185:( 0xc200, 0xfe00, 0xc000), 186:( 0xcf00, 0xd080, 0xd080, 0xd080, 0xcf00), 187:( 0xe600, 0xbc00, 0x9800, 0xe600, 0xbc00, 0x9800), 188:( 0x8200, 0x8284, 0x81fc, 0xb180, 0xa900, 0xa680, 0xfe80, 0xa000), 189:( 0x8200, 0x8284, 0x81fc, 0xc380, 0xe300, 0xd280, 0xcc80), 190:( 0x8284, 0x8294, 0x8194, 0xb16c, 0xa900, 0xa680, 0xfe80, 0xa000), 191:( 0xb800, 0xcc00, 0xc760, 0xc000, 0xa000), 192:( 0xe000, 0x9c04, 0x8bcc, 0x8828, 0x8bc0, 0x9c00, 0xe000), 193:( 0xe000, 0x9c00, 0x8bc8, 0x882c, 0x8bc4, 0x9c00, 0xe000), 194:( 0xe000, 0x9c08, 0x8bc4, 0x8824, 0x8bc8, 0x9c00, 0xe000), 195:( 0xe000, 0x9c0c, 0x8bc4, 0x882c, 0x8bc8, 0x9c0c, 0xe000), 196:( 0xe000, 0x9c00, 0x8bc8, 0x8820, 0x8bc8, 0x9c00, 0xe000), 197:( 0xe000, 0xbc00, 0x8b9c, 0x8864, 0x8b9c, 0xbc00, 0xe000), 198:( 0xe000, 0x9e00, 0x89e0, 0x8820, 0xffe0, 0xc220, 0xc220, 0xc220), 199:( 0x83f0, 0x8408, 0x8804, 0xc804, 0xd804, 0xe804, 0x8408), 200:( 0xffe0, 0xc224, 0xc22c, 0xc228, 0xc220, 0xc220, 0xc220), 201:( 0xffe0, 0xc220, 0xc228, 0xc22c, 0xc224, 0xc220, 0xc220), 202:( 0xffe0, 0xc228, 0xc224, 0xc224, 0xc228, 0xc220, 0xc220), 203:( 0xffe0, 0xc220, 0xc228, 0xc220, 0xc228, 0xc220, 0xc220), 204:( 0xc024, 0xc02c, 0xffe8, 0xc020, 0xc020), 205:( 0xc020, 0xc028, 0xffec, 0xc024, 0xc020), 206:( 0xc028, 0xc024, 0xffe4, 0xc028, 0xc020), 207:( 0xc020, 0xc028, 0xffe0, 0xc028, 0xc020), 208:( 0x8200, 0xffe0, 0xc220, 0xc220, 0xc020, 0xc020, 0xa040, 0x9f80), 209:( 0xffe0, 0x806c, 0x8184, 0x860c, 0x9808, 0xe00c, 0xffe0), 210:( 0x9f80, 0xa044, 0xc02c, 0xc028, 0xc020, 0xa040, 0x9f80), 211:( 0x9f80, 0xa040, 0xc028, 0xc02c, 0xc024, 0xa040, 0x9f80), 212:( 0x9f80, 0xa048, 0xc024, 0xc024, 0xc028, 0xa040, 0x9f80), 213:( 0x9f80, 0xa04c, 0xc024, 0xc02c, 0xc028, 0xa04c, 0x9f80), 214:( 0x9f80, 0xa040, 0xc028, 0xc020, 0xc028, 0xa040, 0x9f80), 215:( 0xc200, 0xa400, 0x9800, 0x9800, 0xa400, 0xc200), 216:( 0xc000, 0xbf80, 0xf840, 0xcc20, 0xc620, 0xc320, 0xa0e0, 0x9fe0, 0x8000), 217:( 0xbfe0, 0xe004, 0xc00c, 0xc008, 0xc000, 0xe000, 0xbfe0), 218:( 0xbfe0, 0xe000, 0xc008, 0xc00c, 0xc004, 0xe000, 0xbfe0), 219:( 0xbfe0, 0xe008, 0xc004, 0xc004, 0xc008, 0xe000, 0xbfe0), 220:( 0xbfe0, 0xe000, 0xc008, 0xc000, 0xc008, 0xe000, 0xbfe0), 221:( 0x8020, 0x80c0, 0x8308, 0xfe0c, 0x8304, 0x80c0, 0x8020), 222:( 0xffe0, 0x8840, 0x8840, 0x8840, 0x8840, 0x8cc0, 0x8780), 223:( 0xffe0, 0x8010, 0xc710, 0xc490, 0xcc60, 0xb800), 224:( 0xb800, 0xc508, 0xc498, 0xc4a0, 0xa480, 0xff00), 225:( 0xb800, 0xc500, 0xc4a0, 0xc498, 0xa488, 0xff00), 226:( 0xb800, 0xc520, 0xc498, 0xc498, 0xa4a0, 0xff00), 227:( 0xb800, 0xc530, 0xc490, 0xc4b0, 0xa4a0, 0xff30), 228:( 0xb800, 0xc500, 0xc4a0, 0xc480, 0xa4a0, 0xff00), 229:( 0xb800, 0xc518, 0xc4a4, 0xc4a4, 0xa498, 0xff00), 230:( 0xf880, 0xc480, 0xbf00, 0xc480, 0xc480, 0xc700), 231:( 0x83c0, 0x8420, 0x8810, 0xc810, 0xd810, 0xe420), 232:( 0x9e00, 0xa588, 0xc498, 0xc4a0, 0xc580, 0xa700), 233:( 0x9e00, 0xa580, 0xc4a0, 0xc498, 0xc588, 0xa700), 234:( 0x9e00, 0xa5a0, 0xc498, 0xc498, 0xc5a0, 0xa700), 235:( 0x9e00, 0xa580, 0xc4a0, 0xc480, 0xc5a0, 0xa700), 236:( 0xc000, 0xc088, 0xc098, 0xffa0, 0xc000, 0xc000, 0xc000), 237:( 0xc000, 0xc080, 0xc0a0, 0xff98, 0xc008, 0xc000, 0xc000), 238:( 0xc000, 0xc0a0, 0xc098, 0xff98, 0xc020, 0xc000, 0xc000), 239:( 0xc000, 0xc080, 0xc0a0, 0xff80, 0xc020, 0xc000, 0xc000), 240:( 0x9e00, 0xe1b0, 0xc0b0, 0xc0e0, 0xe1a0, 0xbf00), 241:( 0xff80, 0x8130, 0x8090, 0x80b0, 0x80a0, 0xff30), 242:( 0xbf00, 0xe188, 0xc098, 0xc0a0, 0xe180, 0xbf00), 243:( 0xbf00, 0xe180, 0xc0a0, 0xc098, 0xe188, 0xbf00), 244:( 0xbf00, 0xe1a0, 0xc098, 0xc098, 0xe1a0, 0xbf00), 245:( 0xbf00, 0xe1b0, 0xc090, 0xc0b0, 0xe1a0, 0xbf30), 246:( 0xbf00, 0xe180, 0xc0a0, 0xc080, 0xe1a0, 0xbf00), 247:( 0x8800, 0x8800, 0x8800, 0xeb00, 0xeb00, 0x8800, 0x8800, 0x8800), 248:( 0x8000, 0xff00, 0xf180, 0xc880, 0xc480, 0xe380, 0x9f80, 0x8000), 249:( 0xbf80, 0xc008, 0xc018, 0xc020, 0xa000, 0xff80), 250:( 0xbf80, 0xc000, 0xc020, 0xc018, 0xa008, 0xff80), 251:( 0xbf80, 0xc020, 0xc018, 0xc018, 0xa020, 0xff80), 252:( 0xbf80, 0xc000, 0xc020, 0xc000, 0xa020, 0xff80), 253:( 0x8010, 0xc0e0, 0xe304, 0x9e03, 0x81c1, 0x8030), 254:( 0xfffe, 0x8c20, 0x8810, 0x8810, 0x8c30, 0x83c0), 255:( 0x8010, 0xc0e0, 0xe304, 0x9e00, 0x81c4, 0x8030) }

54.813853

78

0.708103

1,619

12,662

5.537369

0.336628

0.179364

0.198773

0.176687

0.225544

0.167987

0.154601

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0.531443

0.128416

12,662

230

79

55.052174

0.280899

0.00845

0

0.000876

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0

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1

0

null

0

1

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5

840ae83ea8ac447934c8d87fa2716fef26a13fc9

134

py

Python

topi/python/topi/image/__init__.py

mingwayzhang/tvm

3b287c4d4e6d83e6fd30db47ffa3d5481a332a63

[ "Apache-2.0" ]

64

2021-05-02T14:42:34.000Z

2021-05-06T01:35:03.000Z

topi/python/topi/image/__init__.py

clhne/tvm

d59320c764bd09474775e1b292f3c05c27743d24

[ "Apache-2.0" ]

23

2019-07-29T05:21:52.000Z

2020-08-31T18:51:42.000Z

topi/python/topi/image/__init__.py

clhne/tvm

d59320c764bd09474775e1b292f3c05c27743d24

[ "Apache-2.0" ]

51

2019-07-12T05:10:25.000Z

2021-07-28T16:19:06.000Z

# pylint: disable=wildcard-import """IMAGE network operators""" from __future__ import absolute_import as _abs from .resize import *

22.333333

46

0.783582

17

134

5.823529

0.764706

0

0.126866

134

5

47

26.8

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8411bff17218639e51ca9252506ceb43baf0954e

100

py

Python

bunq_bot/commands/commandos/stop.py

OGKevin/ComBunqWebApp

25bc6118427f3b369fb61ba0bd38c977be05644f

[ "MIT" ]

32

2017-04-08T21:02:16.000Z

2021-04-02T10:23:24.000Z

bunq_bot/commands/commandos/stop.py

OGKevin/ComBunqWebApp

25bc6118427f3b369fb61ba0bd38c977be05644f

[ "MIT" ]

139

2017-04-05T21:06:07.000Z

2021-06-08T19:34:34.000Z

bunq_bot/commands/commandos/stop.py

OGKevin/ComBunqWebApp

25bc6118427f3b369fb61ba0bd38c977be05644f

[ "MIT" ]

7

2017-04-13T15:22:10.000Z

2018-03-21T06:03:44.000Z

def stop(): with open('bunq_bot/responses/commands/stop.md', 'r') as f: return f.read()

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5

84274eac6ee80c74bf44729e79aa0d2f22ec1c72

60

py

Python

Random-Programs/dev/games/misc/joe.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

Random-Programs/dev/games/misc/joe.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

Random-Programs/dev/games/misc/joe.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

from computeryshite import computerFailure computerFailure()

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5

84604d580a90b4dade10e41d81c36986ff7458ee

15,343

py

Python

brightcove/Analytics.py

asha-bc/BrightcovePY

52e220e8e95221745b4de52ba94689509d27c072

[ "MIT" ]

3

2020-12-14T23:08:09.000Z

2021-08-05T05:44:19.000Z

brightcove/Analytics.py

asha-bc/BrightcovePY

52e220e8e95221745b4de52ba94689509d27c072

[ "MIT" ]

null

brightcove/Analytics.py

asha-bc/BrightcovePY

52e220e8e95221745b4de52ba94689509d27c072

[ "MIT" ]

2

2021-10-19T15:24:28.000Z

2022-03-08T08:17:30.000Z

""" Implements wrapper class and methods to work with Brightcove's Analytics API. See: https://apis.support.brightcove.com/analytics/index.html """ from dataclasses import dataclass from requests.models import Response from .Base import Base from .OAuth import OAuth from .utils import QueryStringDataclassBase VALID_DIMENSIONS = ('account', 'city', 'country', 'region', 'date', 'date-time', 'device_os', 'device_type', 'player', 'referrer_domain', 'destination_domain', 'search_terms', 'social_platform', 'source_type', 'video', 'viewer') @dataclass class AnalyticsQueryParameters(QueryStringDataclassBase): """ Dataclass defining URL query parameters for Analytics calls. """ accounts: str = '' # One or more account ids, separated by commas dimensions: str = '' # Enum: "account" "city" "country" "region" "date" "date-time" # "device_os" "device_type" "player" "referrer_domain" "destination_domain" # "search_terms" "social_platform" "source_type" "video" # One or more dimensions to report on; see Multiple Dimensions or # which combined dimensions are supported. limit: int = 10 # Number of items to return. offset: int = 0 # Number of items to skip. sort: str = 'video_view' # Field to sort results by (prefix with - for descending order). fields: str = '' # Default: "`video_view` + others (varies by dimension)" # Fields to return - available fields varies according to the dimensions - # see the Overview: Analytics API for more details. where: str = '' # Enum: "account" "city" "country" "region" "date" "date-time" "device_os" # "device_type" "player" "referrer_domain" "destination_domain" "search_terms" # "social_platform" "source_type" "video" # One or more 'dimension==value' pairs to filter the results; see Where Filters # for details; note that you can also limit the video set returned by filtering # on video properties. from_: str = '' # Start time for the period covered by the report — epoch time in milliseconds # (1535654206775) or a date in the format yyyy-mm-dd (such as 2013-09-26) to: str = 'now' # End time for the period covered by the report — now or epoch time in milliseconds # (1535654206775) or a date in the format yyyy-mm-dd (such as 2013-09-26) format: str = '' # Enum: "csv" "json" "xlxs" # Format to return the results in. reconciled: bool = True # If True, only reconciled data is returned; if False, only realtime data is # returned; if not present, both reconciled and realtime data are returned. def __post_init__(self): """ Add data validation information. """ self.fix_data( { 'from_': 'from' } ) self.valid_data( { 'dimensions': VALID_DIMENSIONS, 'where': VALID_DIMENSIONS, 'format': ('csv', 'json', 'xlxs') } ) @dataclass class AnalyticsLiveQueryParameters(QueryStringDataclassBase): """ Dataclass defining URL query parameters for Live Analytics calls. """ dimensions_for_live_analytics: str = '' # Enum: "account" "city" "country" "region" "date" # "date-time" "device_os" "device_type" "player" # "referrer_domain" "destination_domain" "search_terms" # "social_platform" "source_type" "video" # Example: dimensions for live analytics=account # One or more dimensions to report on for Live Analytics requests Dimensions. bucket_limit: int = 0 # Max number of points to be returned for a time-series bucket_duration: str = '' # Intervals duration in the form of an integer plus m (minutes), h (hours), or d (days) metrics: str = '' # Enum: "video_impression" "video_view" "video_seconds_viewed" # "alive_ss_ad_start" "fingerprint_count" "ccu" # Data metrics to return for live analytics requests. where: str = '' # Enum: "account" "city" "country" "region" "date" "date-time" # "device_os" "device_type" "player" "referrer_domain" "destination_domain" # "search_terms" "social_platform" "source_type" "video" # One or more 'dimension==value' pairs to filter the results; # see Where Filters for details; note that you can also limit the video # set returned by filtering on video properties from_: str = '' # Start time for the period covered by the report — epoch time in milliseconds # (1535654206775) or a date in the format yyyy-mm-dd (such as 2013-09-26) to: str = 'now' # End time for the period covered by the report — now or epoch time in milliseconds # (1535654206775) or a date in the format yyyy-mm-dd (such as 2013-09-26) def __post_init__(self): self.fix_data( { 'from_': 'from', 'dimensions_for_live_analytics': 'dimensions%20for%20live%20analytics' } ) self.valid_data( { 'dimensions%20for%20live%20analytics': VALID_DIMENSIONS, 'where': VALID_DIMENSIONS, 'metrics': ('video_impression', 'video_view', 'video_seconds_viewed', 'alive_ss_ad_start', 'fingerprint_count', 'ccu'), } ) class Analytics(Base): """ Class to wrap the Brightcove Analytics API calls. Inherits from Base. Attributes: ----------- base_url (str) Base URL for API calls. Methods: -------- GetAccountEngagement(self, account_id: str='') -> Response Get a summary report of engagement for the account. GetPlayerEngagement(self, player_id: str, account_id: str='') -> Response Get a summary report of engagement for a player. GetVideoEngagement(self, video_id: str, account_id: str='') -> Response Get a summary report of engagement for a video. GetAnalyticsReport(self, query_parameters: AnalyticsQueryParameters) -> Response Get an analytics report on one or more dimensions. GetAvailableDateRange(self, query_parameters: AnalyticsQueryParameters) -> Response Get the date range for which reconciled data is available for any Analytics API report. GetAlltimeVideoViews(self, video_id: str, account_id: str='') -> Response Returns the total alltime video views for a video. GetLiveAnalyticsTimeSeries(self, query_parameters: AnalyticsLiveQueryParameters, account_id: str='') -> Response Returns a list of timestamp-value pairs representing samples of a variable (metric). GetLiveAnalyticsEvent(self, query_parameters: AnalyticsLiveQueryParameters, account_id: str='') -> Response Provides a summary of analytics data collected for a live stream. """ # base URL for all API calls base_url = 'https://analytics.api.brightcove.com/v1' def __init__(self, oauth: OAuth) -> None: """ Args: oauth (OAuth): OAuth instance to use for the API calls. """ super().__init__(oauth=oauth) #region Engagement Report def GetAccountEngagement(self, account_id: str='') -> Response: """ Get a summary report of engagement for the account. Note: Engagement reports are only available for periods within the past 32 days. Requests outside that range will return an error The only parameters supported for Engagement reports are from and to Engagement reports are available for single accounts only - reports on multiple accounts will not work. Args: account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/engagement/accounts/{account_id}' return self.session.get(url, headers=self.oauth.headers) def GetPlayerEngagement(self, player_id: str, account_id: str='') -> Response: """ Get a summary report of engagement for a player. Note: Engagement reports are only available for periods within the past 32 days. Requests outside that range will return an error The only parameters supported for Engagement reports are from and to Engagement reports are available for single accounts only - reports on multiple accounts will not work. Args: player_id (str): Video Cloud player ID. account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/engagement/accounts/{account_id}/players/{player_id}' return self.session.get(url, headers=self.oauth.headers) def GetVideoEngagement(self, video_id: str, account_id: str='') -> Response: """ Get a summary report of engagement for a video. Note: Engagement reports are only available for periods within the past 32 days. Requests outside that range will return an error The only parameters supported for Engagement reports are from and to Engagement reports are available for single accounts only - reports on multiple accounts will not work. Args: video_id (str): Video Cloud video ID. account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/engagement/accounts/{account_id}/videos/{video_id}' return self.session.get(url, headers=self.oauth.headers) #endregion #region Analytics Report def GetAnalyticsReport(self, query_parameters: AnalyticsQueryParameters) -> Response: """ Get an analytics report on one or more dimensions. Note that the fields returned in the response will vary according to the dimension(s) requested and the fields specified in the fields parameter. See the API Overview and the dimension guides for details. Args: query_parameters (AnalyticsQueryParameters): Query parameters as AnalyticsQueryParameters object. Returns: Response: API response as requests Response object. """ url = f'{self.base_url}/data{query_parameters}' return self.session.get(url, headers=self.oauth.headers) def GetAvailableDateRange(self, query_parameters: AnalyticsQueryParameters) -> Response: """ Get the date range for which reconciled data is available for any Analytics API report. All parameters are allowed, but only account, dimensions, and where affect the result - all others are ignored. Note that date range for this request must fall within the available date range for the dimensions requested. Args: query_parameters (AnalyticsQueryParameters): Query parameters as AnalyticsQueryParameters object. Returns: Response: API response as requests Response object. """ url = f'{self.base_url}/data/status{query_parameters}' return self.session.get(url, headers=self.oauth.headers) #endregion #region Video Data def GetAlltimeVideoViews(self, video_id: str, account_id: str='') -> Response: """ Returns the total alltime video views for a video. This is a low-latency endpoint appropriate for use by client-side apps such as the Brightcove Player. Args: video_id (str): Video Cloud video ID. account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/alltime/accounts/{account_id}/videos/{video_id}' return self.session.get(url, headers=self.oauth.headers) #endregion #region Live Analytics def GetLiveAnalyticsTimeSeries(self, query_parameters: AnalyticsLiveQueryParameters, account_id: str='') -> Response: """ A time-series is defined as a an list of timestamp-value pairs representing samples of a variable (metric). The time-series API intends to allow the user to return a time-series for the set of metrics requested in the query. Args: query_parameters (AnalyticsLiveQueryParameters): Query parameters as AnalyticsLiveQueryParameters object. account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/timeseries/accounts/{account_id}{query_parameters}' return self.session.get(url, headers=self.oauth.headers) def GetLiveAnalyticsEvent(self, query_parameters: AnalyticsLiveQueryParameters, account_id: str='') -> Response: """ Provides a summary of analytics data collected for a live stream. Args: query_parameters (AnalyticsLiveQueryParameters): Query parameters as AnalyticsLiveQueryParameters object. account_id (str, optional): Brightcove Account ID. Defaults to ''. Returns: Response: API response as requests Response object. """ account_id = account_id or self.oauth.account_id url = f'{self.base_url}/events/accounts/{account_id}{query_parameters}' return self.session.get(url, headers=self.oauth.headers) #endregion

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0832cac710bea701505d5597bdecb57ddbcaa51a

189

py

Python

three/__init__.py

Countdown369/three

1869ab1ad0948e5cdf416f1c06c176700805984d

[ "BSD-3-Clause" ]

15

2015-02-28T22:55:07.000Z

2019-03-05T03:04:27.000Z

three/__init__.py

Countdown369/three

1869ab1ad0948e5cdf416f1c06c176700805984d

[ "BSD-3-Clause" ]

5

2016-04-22T17:20:53.000Z

2020-06-01T15:24:46.000Z

three/__init__.py

Countdown369/three

1869ab1ad0948e5cdf416f1c06c176700805984d

[ "BSD-3-Clause" ]

11

2015-08-19T11:34:06.000Z

2021-10-29T18:48:49.000Z

from . import core from .api import (key, city, cities, dev, discovery, post, request, requests, services, token) from .cities import CityNotFound from .core import Three

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5

083d718685c201c64d8d9cdf09eee3ba9b2820bd

191

py

Python

paver/cog/__init__.py

jrossi/paver

db4ea25ed1c986c766fd3424aeae34d9b28ac937

[ "BSD-3-Clause" ]

1

2015-02-09T19:59:44.000Z

paver/cog/__init__.py

jrossi/paver

db4ea25ed1c986c766fd3424aeae34d9b28ac937

[ "BSD-3-Clause" ]

null

paver/cog/__init__.py

jrossi/paver

db4ea25ed1c986c766fd3424aeae34d9b28ac937

[ "BSD-3-Clause" ]

null

19.1

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null

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1

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1

0

1

0

5

084830c7e00320a274d6146d14d5773073501167

24

py

Python

code/python/forward_euler/forward_euler.py

fcooper8472/algorithms

1966edae1f34dead0954ea75995e44342bb3f1c4

[ "MIT" ]

null

code/python/forward_euler/forward_euler.py

fcooper8472/algorithms

1966edae1f34dead0954ea75995e44342bb3f1c4

[ "MIT" ]

null

code/python/forward_euler/forward_euler.py

fcooper8472/algorithms

1966edae1f34dead0954ea75995e44342bb3f1c4

[ "MIT" ]

null

print('Forward Euler!')

12

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null

0

1

0

1

0

5

f28160d222b9f9a01d295247154c95c3767291c0

154

py

Python

galaxy/common/context_processors.py

pabelanger/galaxy

9df6634bffb3440ba633e40f99e2f4bb80b1f0da

[ "Apache-2.0" ]

904

2016-10-11T13:35:19.000Z

2022-03-25T09:29:09.000Z

galaxy/common/context_processors.py

pabelanger/galaxy

9df6634bffb3440ba633e40f99e2f4bb80b1f0da

[ "Apache-2.0" ]

1,866

2016-10-15T21:28:09.000Z

2022-03-29T18:09:20.000Z

galaxy/common/context_processors.py

pabelanger/galaxy

9df6634bffb3440ba633e40f99e2f4bb80b1f0da

[ "Apache-2.0" ]

368

2016-10-11T13:44:08.000Z

2022-03-30T02:23:12.000Z

import secrets import base64 def template_metadata(request): return { 'csp_nonce': base64.b64encode(secrets.token_bytes(32)).decode() }

17.111111

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null

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f2bccd195e9185229349fda80cd47c3facd4ef0a

448

py

Python

introducao-a-linguagem-com-python/construindo-metodos-funcoes-e-classes-em-python/metodos-funcoes-classes/main.py

ImGabreuw/digital-innovation-one

8782ce57358fc879f5527a837f452a75539ed97f

[ "MIT" ]

3

2021-06-23T15:22:59.000Z

2021-07-05T08:05:49.000Z

introducao-a-linguagem-com-python/construindo-metodos-funcoes-e-classes-em-python/metodos-funcoes-classes/main.py

ImGabreuw/digital-innovation-one

8782ce57358fc879f5527a837f452a75539ed97f

[ "MIT" ]

1

2021-12-26T19:45:30.000Z

introducao-a-linguagem-com-python/construindo-metodos-funcoes-e-classes-em-python/metodos-funcoes-classes/main.py

ImGabreuw/digital-innovation-one

8782ce57358fc879f5527a837f452a75539ed97f

[ "MIT" ]

null

class Calculadora: def soma(self, num1, num2): return num1 + num2 def subtracao(self, num1, num2): return num1 - num2 def multiplicacao(self, num1, num2): return num1 * num2 def divisao(self, num1, num2): return num1 / num2 calculadora = Calculadora() print(calculadora.soma(10, 2)) print(calculadora.subtracao(5, 3)) print(calculadora.multiplicacao(100, 2)) print(calculadora.divisao(20, 4))

20.363636

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null

0

1

0

1

0

5

4b30751ac69ab5c475997a64ec1554908267fa32

85

py

Python

dist/11.py

HunTrue/WXBot-IntelligentResponse

036dbc56469feb44f1833aac4602e97f7ed3f036

[ "Apache-2.0" ]

17

2018-01-22T10:14:30.000Z

2021-11-26T02:48:33.000Z

dist/11.py

HunTrue/WXBot-IntelligentResponse

036dbc56469feb44f1833aac4602e97f7ed3f036

[ "Apache-2.0" ]

null

dist/11.py

HunTrue/WXBot-IntelligentResponse

036dbc56469feb44f1833aac4602e97f7ed3f036

[ "Apache-2.0" ]

5

2018-03-03T16:01:09.000Z

2021-02-12T10:27:26.000Z

from distutils.core import setup import py2exe setup(console=["bot.py","wxbot.py"])

21.25

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null

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1

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1

0

5

4b915f9d188d61ab0446e0572e858c04b14aa506

33

py

Python

isl/loss/__init__.py

HenryLee97/isl

0eb357bd45c5ce3ab3ef060deb84707975049d37

[ "MIT" ]

2

2021-12-14T10:43:53.000Z

2021-12-14T12:46:50.000Z

isl/loss/__init__.py

HenryLee97/isl

0eb357bd45c5ce3ab3ef060deb84707975049d37

[ "MIT" ]

null

isl/loss/__init__.py

HenryLee97/isl

0eb357bd45c5ce3ab3ef060deb84707975049d37

[ "MIT" ]

null

from isl.loss.mlp import MLPLoss

16.5

32

0.818182

6

33

4.5

1

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1

33

0.931034

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1

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0

1

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null

0

1

0

1

0

5

29c778723e7e67108e2832c79df99bb08dcac5b5

151

py

Python

{{cookiecutter.module_name}}/src/bio2bel_{{ cookiecutter.module_name }}/parser.py

deeenes/bio2bel-cookiecutter

8464a34faf3e645de20fb098ced4ec31666dd10a

[ "MIT" ]

null

{{cookiecutter.module_name}}/src/bio2bel_{{ cookiecutter.module_name }}/parser.py

deeenes/bio2bel-cookiecutter

8464a34faf3e645de20fb098ced4ec31666dd10a

[ "MIT" ]

1

2019-03-06T16:22:28.000Z

{{cookiecutter.module_name}}/src/bio2bel_{{ cookiecutter.module_name }}/parser.py

deeenes/bio2bel-cookiecutter

8464a34faf3e645de20fb098ced4ec31666dd10a

[ "MIT" ]

1

2019-02-28T14:01:14.000Z

# -*- coding: utf-8 -*- """Parsers and downloaders for Bio2BEL {{ cookiecutter.module_stylized }}.""" from bio2bel.downloading import make_df_getter

25.166667

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5.944444

0.944444

0

0.022727

0.125828

151

5

78

30.2

0.787879

0.622517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

29cec94ecbdd80d3ddc0edb885cc7c5a877318df

253

py

Python

local_modules/calculate.py

reysmerwvr/python-playgrounds

1e039639d96044986ba5cc894a210180cc2b08e0

[ "MIT" ]

null

local_modules/calculate.py

reysmerwvr/python-playgrounds

1e039639d96044986ba5cc894a210180cc2b08e0

[ "MIT" ]

null

local_modules/calculate.py

reysmerwvr/python-playgrounds

1e039639d96044986ba5cc894a210180cc2b08e0

[ "MIT" ]

null

from operations import * a, b, c, d = (10, 5, 0, 'Hello') print("{} + {} = {}".format(a, b, sums(a, b))) print("{} - {} = {}".format(b, d, diff(b, d))) print("{} * {} = {}".format(b, b, times(b, b))) print("{} / {} = {}".format(a, c, division(a, c)))

28.111111

50

0.450593

39

253

2.923077

0.435897

0.385965

0.210526

0

0.019417

0.185771

253

8

51

31.625

0.533981

0

0.209486

0

1

0

true

0

0.166667

0

0.166667

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

5

29fcf008dc324d17fe6c2789dead4a9fde5c1ca9

385

py

Python

gramat/parsing/read_context.py

gramat-lang/python-gramat

c3edb7cf045b109596bb4cfdf43d58e04763ac19

[ "MIT" ]

null

gramat/parsing/read_context.py

gramat-lang/python-gramat

c3edb7cf045b109596bb4cfdf43d58e04763ac19

[ "MIT" ]

null

gramat/parsing/read_context.py

gramat-lang/python-gramat

c3edb7cf045b109596bb4cfdf43d58e04763ac19

[ "MIT" ]

null

from typing import List from gramat.errors import GramatError from gramat.parsing.source import Source class ReadContext: def __init__(self, source: Source): self.source = source self.stop_marks: List[str] = [] def error(self, message: str) -> GramatError: return self.source.error(message) # TODO implement literal and char predicate caching

22.647059

55

0.706494

48

385

5.5625

0.5625

0.11236

0.11985

0.149813

0

0.215584

385

16

56

24.0625

0.884106

0.127273

0

0.0625

0

1

0.222222

false

0

0.333333

0.111111

0.777778

0

null

0

null

0

1

0

1

0

1

0

5

4b0965feea7b3b5ad8f5fdcc5a86696a57905de3

590

py

Python

orb_simulator/other_language/testing_ast/__init__.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

1

2022-01-19T22:49:09.000Z

orb_simulator/other_language/testing_ast/__init__.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

15

2021-11-10T14:25:02.000Z

2022-02-12T19:17:11.000Z

orb_simulator/other_language/testing_ast/__init__.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

null

from other_language.testing_ast.BinaryExpression import BinaryExpression from other_language.testing_ast.Div import Div from other_language.testing_ast.Expression import Expression from other_language.testing_ast.Mul import Mul from other_language.testing_ast.Node import Node from other_language.testing_ast.Not import Not from other_language.testing_ast.Number import Number from other_language.testing_ast.Rule import Rule from other_language.testing_ast.Sub import Sub from other_language.testing_ast.Sum import Sum from other_language.testing_ast.UnaryExpression import UnaryExpression

53.636364

72

0.889831

88

590

5.715909

0.193182

0.196819

0.371769

0.524851

0.590457

0

0.072881

590

11

73

53.636364

0.919561

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d99abf416259bee947ebbf097e2e71cdfd75f34c

65

py

Python

src/hdfviewer/__init__.py

scimax/ipy-hdf-viewer

fdb1de494a59be526e140876fd5a7b2b95544892

[ "MIT" ]

null

src/hdfviewer/__init__.py

scimax/ipy-hdf-viewer

fdb1de494a59be526e140876fd5a7b2b95544892

[ "MIT" ]

null

src/hdfviewer/__init__.py

scimax/ipy-hdf-viewer

fdb1de494a59be526e140876fd5a7b2b95544892

[ "MIT" ]

null

# # Package information # from .__pkginfo__ import __version__

9.285714

36

0.769231

6

65

7

1

0

0.169231

65

6

37

10.833333

0.777778

0.292308

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d9d0138c9c155cc8f2e588a273d944c6177145a2

16,819

py

Python

Geometry/ForwardCommonData/python/totemTest2019XML_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

1

2019-08-09T08:42:11.000Z

Geometry/ForwardCommonData/python/totemTest2019XML_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

Geometry/ForwardCommonData/python/totemTest2019XML_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

1

2019-03-19T13:44:54.000Z

import FWCore.ParameterSet.Config as cms ## 2015 + new phase 1 pixel detector XMLIdealGeometryESSource = cms.ESSource("XMLIdealGeometryESSource", geomXMLFiles = cms.vstring( 'Geometry/CMSCommonData/data/materials.xml', 'Geometry/CMSCommonData/data/rotations.xml', 'Geometry/CMSCommonData/data/extend/v2/cmsextent.xml', 'Geometry/CMSCommonData/data/cms/2019/v3/cms.xml', 'Geometry/CMSCommonData/data/cmsMother.xml', 'Geometry/CMSCommonData/data/eta3/etaMax.xml', 'Geometry/CMSCommonData/data/cmsTracker.xml', 'Geometry/CMSCommonData/data/caloBase/2017/v1/caloBase.xml', 'Geometry/CMSCommonData/data/cmsCalo.xml', 'Geometry/CMSCommonData/data/muonBase/2017/v1/muonBase.xml', 'Geometry/CMSCommonData/data/cmsMuon.xml', 'Geometry/CMSCommonData/data/mgnt.xml', 'Geometry/CMSCommonData/data/beampipe/2023/v1/beampipe.xml', 'Geometry/CMSCommonData/data/cmsBeam/2023/v1/cmsBeam.xml', 'Geometry/CMSCommonData/data/muonMB.xml', 'Geometry/CMSCommonData/data/muonMagnet.xml', 'Geometry/CMSCommonData/data/cavern/2017/v2/cavern.xml', 'Geometry/CMSCommonData/data/cavernData/2017/v1/cavernData.xml', 'Geometry/CMSCommonData/data/cavernFloor/2017/v1/cavernFloor.xml', 'Geometry/TrackerCommonData/data/PhaseI/trackerParameters.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdMaterials.xml', 'Geometry/TrackerCommonData/data/pixfwdCommon.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdCylinder.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwd.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdDisks.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdSupportRingParameters.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdInnerDiskZplus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdInnerDiskZminus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdOuterDiskZplus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdOuterDiskZminus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdbladeInnerZplus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdbladeInnerZminus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdbladeOuterZplus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixfwdbladeOuterZminus.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarmaterial.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarladder.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarladderfull0.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarladderfull1.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarladderfull2.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarladderfull3.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarlayer.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarlayer0.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarlayer1.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarlayer2.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbarlayer3.xml', 'Geometry/TrackerCommonData/data/PhaseI/pixbar.xml', 'Geometry/TrackerCommonData/data/Run2/trackerpatchpannel.xml', 'Geometry/TrackerCommonData/data/Run2/trackerpixelnose.xml', 'Geometry/TrackerCommonData/data/tibtidcommonmaterial.xml', 'Geometry/TrackerCommonData/data/tibmaterial.xml', 'Geometry/TrackerCommonData/data/tibmodpar.xml', 'Geometry/TrackerCommonData/data/tibmodule0.xml', 'Geometry/TrackerCommonData/data/tibmodule0a.xml', 'Geometry/TrackerCommonData/data/tibmodule0b.xml', 'Geometry/TrackerCommonData/data/tibmodule2.xml', 'Geometry/TrackerCommonData/data/tibstringpar.xml', 'Geometry/TrackerCommonData/data/tibstring0ll.xml', 'Geometry/TrackerCommonData/data/tibstring0lr.xml', 'Geometry/TrackerCommonData/data/tibstring0ul.xml', 'Geometry/TrackerCommonData/data/tibstring0ur.xml', 'Geometry/TrackerCommonData/data/tibstring0.xml', 'Geometry/TrackerCommonData/data/tibstring1ll.xml', 'Geometry/TrackerCommonData/data/tibstring1lr.xml', 'Geometry/TrackerCommonData/data/tibstring1ul.xml', 'Geometry/TrackerCommonData/data/tibstring1ur.xml', 'Geometry/TrackerCommonData/data/tibstring1.xml', 'Geometry/TrackerCommonData/data/tibstring2ll.xml', 'Geometry/TrackerCommonData/data/tibstring2lr.xml', 'Geometry/TrackerCommonData/data/tibstring2ul.xml', 'Geometry/TrackerCommonData/data/tibstring2ur.xml', 'Geometry/TrackerCommonData/data/tibstring2.xml', 'Geometry/TrackerCommonData/data/tibstring3ll.xml', 'Geometry/TrackerCommonData/data/tibstring3lr.xml', 'Geometry/TrackerCommonData/data/tibstring3ul.xml', 'Geometry/TrackerCommonData/data/tibstring3ur.xml', 'Geometry/TrackerCommonData/data/tibstring3.xml', 'Geometry/TrackerCommonData/data/tiblayerpar.xml', 'Geometry/TrackerCommonData/data/tiblayer0.xml', 'Geometry/TrackerCommonData/data/tiblayer1.xml', 'Geometry/TrackerCommonData/data/tiblayer2.xml', 'Geometry/TrackerCommonData/data/tiblayer3.xml', 'Geometry/TrackerCommonData/data/tib.xml', 'Geometry/TrackerCommonData/data/tidmaterial.xml', 'Geometry/TrackerCommonData/data/tidmodpar.xml', 'Geometry/TrackerCommonData/data/tidmodule0.xml', 'Geometry/TrackerCommonData/data/tidmodule0r.xml', 'Geometry/TrackerCommonData/data/tidmodule0l.xml', 'Geometry/TrackerCommonData/data/tidmodule1.xml', 'Geometry/TrackerCommonData/data/tidmodule1r.xml', 'Geometry/TrackerCommonData/data/tidmodule1l.xml', 'Geometry/TrackerCommonData/data/tidmodule2.xml', 'Geometry/TrackerCommonData/data/tidringpar.xml', 'Geometry/TrackerCommonData/data/tidring0.xml', 'Geometry/TrackerCommonData/data/tidring0f.xml', 'Geometry/TrackerCommonData/data/tidring0b.xml', 'Geometry/TrackerCommonData/data/tidring1.xml', 'Geometry/TrackerCommonData/data/tidring1f.xml', 'Geometry/TrackerCommonData/data/tidring1b.xml', 'Geometry/TrackerCommonData/data/tidring2.xml', 'Geometry/TrackerCommonData/data/tid.xml', 'Geometry/TrackerCommonData/data/tidf.xml', 'Geometry/TrackerCommonData/data/tidb.xml', 'Geometry/TrackerCommonData/data/tibtidservices.xml', 'Geometry/TrackerCommonData/data/tibtidservicesf.xml', 'Geometry/TrackerCommonData/data/tibtidservicesb.xml', 'Geometry/TrackerCommonData/data/tobmaterial.xml', 'Geometry/TrackerCommonData/data/tobmodpar.xml', 'Geometry/TrackerCommonData/data/tobmodule0.xml', 'Geometry/TrackerCommonData/data/tobmodule2.xml', 'Geometry/TrackerCommonData/data/tobmodule4.xml', 'Geometry/TrackerCommonData/data/tobrodpar.xml', 'Geometry/TrackerCommonData/data/tobrod0c.xml', 'Geometry/TrackerCommonData/data/tobrod0l.xml', 'Geometry/TrackerCommonData/data/tobrod0h.xml', 'Geometry/TrackerCommonData/data/tobrod0.xml', 'Geometry/TrackerCommonData/data/tobrod1l.xml', 'Geometry/TrackerCommonData/data/tobrod1h.xml', 'Geometry/TrackerCommonData/data/tobrod1.xml', 'Geometry/TrackerCommonData/data/tobrod2c.xml', 'Geometry/TrackerCommonData/data/tobrod2l.xml', 'Geometry/TrackerCommonData/data/tobrod2h.xml', 'Geometry/TrackerCommonData/data/tobrod2.xml', 'Geometry/TrackerCommonData/data/tobrod3l.xml', 'Geometry/TrackerCommonData/data/tobrod3h.xml', 'Geometry/TrackerCommonData/data/tobrod3.xml', 'Geometry/TrackerCommonData/data/tobrod4c.xml', 'Geometry/TrackerCommonData/data/tobrod4l.xml', 'Geometry/TrackerCommonData/data/tobrod4h.xml', 'Geometry/TrackerCommonData/data/tobrod4.xml', 'Geometry/TrackerCommonData/data/tobrod5l.xml', 'Geometry/TrackerCommonData/data/tobrod5h.xml', 'Geometry/TrackerCommonData/data/tobrod5.xml', 'Geometry/TrackerCommonData/data/v2/tob.xml', 'Geometry/TrackerCommonData/data/tecmaterial.xml', 'Geometry/TrackerCommonData/data/tecmodpar.xml', 'Geometry/TrackerCommonData/data/tecmodule0.xml', 'Geometry/TrackerCommonData/data/tecmodule0r.xml', 'Geometry/TrackerCommonData/data/tecmodule0s.xml', 'Geometry/TrackerCommonData/data/tecmodule1.xml', 'Geometry/TrackerCommonData/data/tecmodule1r.xml', 'Geometry/TrackerCommonData/data/tecmodule1s.xml', 'Geometry/TrackerCommonData/data/tecmodule2.xml', 'Geometry/TrackerCommonData/data/tecmodule3.xml', 'Geometry/TrackerCommonData/data/tecmodule4.xml', 'Geometry/TrackerCommonData/data/tecmodule4r.xml', 'Geometry/TrackerCommonData/data/tecmodule4s.xml', 'Geometry/TrackerCommonData/data/tecmodule5.xml', 'Geometry/TrackerCommonData/data/tecmodule6.xml', 'Geometry/TrackerCommonData/data/tecpetpar.xml', 'Geometry/TrackerCommonData/data/tecring0.xml', 'Geometry/TrackerCommonData/data/tecring1.xml', 'Geometry/TrackerCommonData/data/tecring2.xml', 'Geometry/TrackerCommonData/data/tecring3.xml', 'Geometry/TrackerCommonData/data/tecring4.xml', 'Geometry/TrackerCommonData/data/tecring5.xml', 'Geometry/TrackerCommonData/data/tecring6.xml', 'Geometry/TrackerCommonData/data/tecring0f.xml', 'Geometry/TrackerCommonData/data/tecring1f.xml', 'Geometry/TrackerCommonData/data/tecring2f.xml', 'Geometry/TrackerCommonData/data/tecring3f.xml', 'Geometry/TrackerCommonData/data/tecring4f.xml', 'Geometry/TrackerCommonData/data/tecring5f.xml', 'Geometry/TrackerCommonData/data/tecring6f.xml', 'Geometry/TrackerCommonData/data/tecring0b.xml', 'Geometry/TrackerCommonData/data/tecring1b.xml', 'Geometry/TrackerCommonData/data/tecring2b.xml', 'Geometry/TrackerCommonData/data/tecring3b.xml', 'Geometry/TrackerCommonData/data/tecring4b.xml', 'Geometry/TrackerCommonData/data/tecring5b.xml', 'Geometry/TrackerCommonData/data/tecring6b.xml', 'Geometry/TrackerCommonData/data/tecpetalf.xml', 'Geometry/TrackerCommonData/data/tecpetalb.xml', 'Geometry/TrackerCommonData/data/tecpetal0.xml', 'Geometry/TrackerCommonData/data/tecpetal0f.xml', 'Geometry/TrackerCommonData/data/tecpetal0b.xml', 'Geometry/TrackerCommonData/data/tecpetal3.xml', 'Geometry/TrackerCommonData/data/tecpetal3f.xml', 'Geometry/TrackerCommonData/data/tecpetal3b.xml', 'Geometry/TrackerCommonData/data/tecpetal6f.xml', 'Geometry/TrackerCommonData/data/tecpetal6b.xml', 'Geometry/TrackerCommonData/data/tecpetal8f.xml', 'Geometry/TrackerCommonData/data/tecpetal8b.xml', 'Geometry/TrackerCommonData/data/tecwheel.xml', 'Geometry/TrackerCommonData/data/tecwheela.xml', 'Geometry/TrackerCommonData/data/tecwheelb.xml', 'Geometry/TrackerCommonData/data/tecwheelc.xml', 'Geometry/TrackerCommonData/data/tecwheeld.xml', 'Geometry/TrackerCommonData/data/tecwheel6.xml', 'Geometry/TrackerCommonData/data/tecservices.xml', 'Geometry/TrackerCommonData/data/tecbackplate.xml', 'Geometry/TrackerCommonData/data/tec.xml', 'Geometry/TrackerCommonData/data/Run2/trackermaterial.xml', 'Geometry/TrackerCommonData/data/Run2/tracker.xml', 'Geometry/TrackerCommonData/data/trackerpixbar.xml', 'Geometry/TrackerCommonData/data/PhaseI/trackerpixfwd.xml', 'Geometry/TrackerCommonData/data/trackertibtidservices.xml', 'Geometry/TrackerCommonData/data/trackertib.xml', 'Geometry/TrackerCommonData/data/trackertid.xml', 'Geometry/TrackerCommonData/data/trackertob.xml', 'Geometry/TrackerCommonData/data/trackertec.xml', 'Geometry/TrackerCommonData/data/v2/trackerbulkhead.xml', 'Geometry/TrackerCommonData/data/trackerother.xml', 'Geometry/EcalCommonData/data/Run2/eregalgo.xml', 'Geometry/EcalCommonData/data/ebalgo.xml', 'Geometry/EcalCommonData/data/ebcon.xml', 'Geometry/EcalCommonData/data/ebrot.xml', 'Geometry/EcalCommonData/data/eecon.xml', 'Geometry/EcalCommonData/data/eefixed.xml', 'Geometry/EcalCommonData/data/eehier.xml', 'Geometry/EcalCommonData/data/eealgo.xml', 'Geometry/EcalCommonData/data/escon.xml', 'Geometry/EcalCommonData/data/esalgo.xml', 'Geometry/EcalCommonData/data/eeF.xml', 'Geometry/EcalCommonData/data/eeB.xml', 'Geometry/EcalCommonData/data/ectkcable.xml', 'Geometry/HcalCommonData/data/hcalrotations.xml', 'Geometry/HcalCommonData/data/hcal/PhaseI/hcalalgo.xml', 'Geometry/HcalCommonData/data/hcalcablealgo.xml', 'Geometry/HcalCommonData/data/hcalbarrelalgo.xml', 'Geometry/HcalCommonData/data/hcalendcap/PhaseI/hcalendcapalgo.xml', 'Geometry/HcalCommonData/data/hcalouteralgo.xml', 'Geometry/HcalCommonData/data/hcalforwardalgo.xml', 'Geometry/HcalCommonData/data/average/hcalforwardmaterial.xml', 'Geometry/HcalCommonData/data/hcalSimNumbering/2019/hcalSimNumbering.xml', 'Geometry/HcalCommonData/data/hcalRecNumbering/2019/hcalRecNumbering.xml', 'Geometry/MuonCommonData/data/mbCommon/2017/v2/mbCommon.xml', 'Geometry/MuonCommonData/data/mb1/2015/v1/mb1.xml', 'Geometry/MuonCommonData/data/mb2/2015/v1/mb2.xml', 'Geometry/MuonCommonData/data/mb3/2015/v1/mb3.xml', 'Geometry/MuonCommonData/data/mb4/2015/v1/mb4.xml', 'Geometry/MuonCommonData/data/design/muonYoke.xml', 'Geometry/MuonCommonData/data/mf/2017/v2/mf.xml', 'Geometry/MuonCommonData/data/rpcf/2015/v1/rpcf.xml', 'Geometry/MuonCommonData/data/gemf/TDR_BaseLine/gemf.xml', 'Geometry/MuonCommonData/data/gem11/TDR_BaseLine/gem11.xml', 'Geometry/MuonCommonData/data/csc/2015/v1/csc.xml', 'Geometry/MuonCommonData/data/mfshield/2017/v1/mfshield.xml', 'Geometry/ForwardCommonData/data/forwardshield/2017/v1/forwardshield.xml', 'Geometry/ForwardCommonData/data/PostLS2/forward.xml', 'Geometry/ForwardCommonData/data/PostLS2/bcml2.xml', 'Geometry/ForwardCommonData/data/brmrotations.xml', 'Geometry/ForwardCommonData/data/PostLS2/brm.xml', 'Geometry/ForwardCommonData/data/totemTest/2019/totemTest.xml', 'Geometry/ForwardCommonData/data/zdcmaterials.xml', 'Geometry/ForwardCommonData/data/lumimaterials.xml', 'Geometry/ForwardCommonData/data/zdcrotations.xml', 'Geometry/ForwardCommonData/data/lumirotations.xml', 'Geometry/ForwardCommonData/data/zdc.xml', 'Geometry/ForwardCommonData/data/zdclumi.xml', 'Geometry/ForwardCommonData/data/cmszdc.xml')+cms.vstring( 'Geometry/MuonCommonData/data/muonNumbering/2019/v2/muonNumbering.xml', 'Geometry/TrackerCommonData/data/PhaseI/trackerStructureTopology.xml', 'Geometry/TrackerSimData/data/PhaseI/trackersens.xml', 'Geometry/TrackerRecoData/data/PhaseI/trackerRecoMaterial.xml', 'Geometry/EcalSimData/data/ecalsens.xml', 'Geometry/HcalCommonData/data/hcalsenspmf.xml', 'Geometry/HcalSimData/data/hf.xml', 'Geometry/HcalSimData/data/hfpmt.xml', 'Geometry/HcalSimData/data/hffibrebundle.xml', 'Geometry/HcalSimData/data/CaloUtil.xml', 'Geometry/MuonSimData/data/v2/muonSens.xml', 'Geometry/DTGeometryBuilder/data/dtSpecsFilter.xml', 'Geometry/CSCGeometryBuilder/data/cscSpecsFilter.xml', 'Geometry/CSCGeometryBuilder/data/cscSpecs.xml', 'Geometry/RPCGeometryBuilder/data/RPCSpecs.xml', 'Geometry/GEMGeometryBuilder/data/v4/GEMSpecs.xml', 'Geometry/ForwardCommonData/data/brmsens.xml', 'Geometry/ForwardSimData/data/zdcsens.xml', 'Geometry/HcalSimData/data/HcalProdCuts.xml', 'Geometry/EcalSimData/data/EcalProdCuts.xml', 'Geometry/EcalSimData/data/ESProdCuts.xml', 'Geometry/TrackerSimData/data/PhaseI/trackerProdCuts.xml', 'Geometry/TrackerSimData/data/trackerProdCutsBEAM.xml', 'Geometry/MuonSimData/data/muonProdCuts.xml', 'Geometry/ForwardSimData/data/zdcProdCuts.xml', 'Geometry/ForwardSimData/data/ForwardShieldProdCuts.xml', 'Geometry/CMSCommonData/data/FieldParameters.xml'), rootNodeName = cms.string('cms:OCMS') )

58.399306

83

0.724894

1,532

16,819

7.956919

0.21671

0.248154

0.422642

0.483019

0.120016

0

0.018072

0.151198

16,819

287

84

58.602787

0.835808

0.001962

0

0.790835

0.790358

0

1

0

false

0

0.003546

0

0.003546

0

null

1

0

1

null

0

5

8a292b71ab13cb8e0f9a1e210b2ba52ae74af2a7

113,282

py

Python

src/bot_data/bestbot.py

PolarisVoid/EvoAI

7a7cacd4b4382613b5fb56a389a47677d8d476b3

[ "MIT" ]

null

src/bot_data/bestbot.py

PolarisVoid/EvoAI

7a7cacd4b4382613b5fb56a389a47677d8d476b3

[ "MIT" ]

null

src/bot_data/bestbot.py

PolarisVoid/EvoAI

7a7cacd4b4382613b5fb56a389a47677d8d476b3

[ "MIT" ]

null

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0.7572855222841322, 0.19625289842302496, 0.9807709530608029, 0.8091585978943232, 0.26971744998534153, 0.8004207787455574]] bestbot_bias_layer_two = [0.7236707838124047, 0.5469334677476838, 0.11561437612681269, 0.5821607110044735, 0.45871832125546574, 0.8552296092962862, 0.007646318172703559, 0.2720926735806478, 0.05806296272320988, 0.6629829785768987, 0.8143311942135837, 0.5648823713708742, 0.3992116579674766, 0.8515349919465708, 0.9016721554683195, 0.11641065253486149, 0.45501842872990517, 0.881829583883305, 0.08493463605949203, 0.5790171406725497, 0.10712502740359742, 0.9241950512926693, 0.9334346247203467, 0.38159813438654233, 0.9430263691706117, 0.18113409534523284, 0.021094432956666465, 0.026373663005672454, 0.4801327108765785, 0.5849999008307452, 0.8816674242640268, 0.10171777930599624, 0.850009256861808, 0.366869022748592, 0.35460458589602895, 0.2516281059216402, 0.1320042290107568, 0.40728268154862224, 0.21170983886597594, 0.3660064095362576] bestbot_wieght_layer_three = [0.06480433624230608, 0.9667029783113225, 0.3916478474327115, 0.27727796299577, 0.5346227874678943, 0.7027078882811499, 0.6300996254734779, 0.8832495456573777, 0.514668152396727, 0.7587983629552989, 0.08605372440328218, 0.579410066184372, 0.0016391077459979586, 0.33214408605564716, 0.7835458423749675, 0.11671668680627967, 0.060741289244867214, 0.9783051760770657, 0.38138874019505964, 0.8916233584096597, 0.2880026943412871, 0.08917480201264472, 0.46464817342507114, 0.34289554474290385, 0.11864272278461341, 0.6353764944671949, 0.10166444017817244, 0.27861090986625714, 0.4028054942221707, 0.20828621916567047, 0.42462866175880887, 0.9939057256125428, 0.29623919762354056, 0.08533685705533767, 0.14564121957995468, 0.7607408335869575, 0.4890451481022672, 0.8374620187614255, 0.3891534352530499, 0.10356785122945955] bestbot_bias_layer_three = [0.1480601550921955, 0.6215676624975024, 0.23126579264775105, 0.8622107364366359, 0.7764421152072524, 0.2275928381685819, 0.4847569567867478, 0.35511664364325524] bestbot_fitness = 78.68742684241911

14,160.25

72,330

0.850674

11,164

113,282

8.63015

0.499731

0.000405

0.00056

0

0.893372

0.049346

113,282

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0.001281

0

1

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false

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null

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1

0

null

0

5

8a35d37b3b96ee741ea3fb2d2601e9506971e334

135

py

Python

abc/139/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

2

2022-01-22T07:56:58.000Z

2022-01-24T00:29:37.000Z

abc/139/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

abc/139/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

S = input() T = input() cnt = 0 if S[0] == T[0]: cnt += 1 if S[1] == T[1]: cnt += 1 if S[2] == T[2]: cnt += 1 print(cnt)

10.384615

16

0.4

29

135

1.862069

0.310345

0.166667

0.222222

0.259259

0

0.111111

0.333333

135

12

17

11.25

0.488889

0

0.3

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1

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false

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1

null

0

1

0

1

0

null

0

5

8a7c9d9a39a5d3fbf0e35a2ecfb4b84745476062

26

py

Python

intro/part04-37_neighbours_in_list/src/neighbours_in_list.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

intro/part04-37_neighbours_in_list/src/neighbours_in_list.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

intro/part04-37_neighbours_in_list/src/neighbours_in_list.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

# Write your solution here

26

0.807692

4

26

5.25

1

0

0.153846

26

1

26

0.954545

0.923077

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

8a8e8fc17ce499ce6e6d41c7a9729b9857e73243

12,187

py

Python

tensorboard/data/provider_test.py

SamuelMarks/tensorboard

78c919738f228265b9a06b86e1e5c5daa2135a0d

[ "Apache-2.0" ]

null

tensorboard/data/provider_test.py

SamuelMarks/tensorboard

78c919738f228265b9a06b86e1e5c5daa2135a0d

[ "Apache-2.0" ]

null

tensorboard/data/provider_test.py

SamuelMarks/tensorboard

78c919738f228265b9a06b86e1e5c5daa2135a0d

[ "Apache-2.0" ]

null

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Unit tests for `tensorboard.data.provider`.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import six from tensorboard import test as tb_test from tensorboard.data import provider class DataProviderTest(tb_test.TestCase): def test_abstract(self): with six.assertRaisesRegex(self, TypeError, "abstract class"): provider.DataProvider() class RunTest(tb_test.TestCase): def test_eq(self): a1 = provider.Run(run_id="a", run_name="aa", start_time=1.25) a2 = provider.Run(run_id="a", run_name="aa", start_time=1.25) b = provider.Run(run_id="b", run_name="bb", start_time=-1.75) self.assertEqual(a1, a2) self.assertNotEqual(a1, b) self.assertNotEqual(b, object()) def test_repr(self): x = provider.Run(run_id="alpha", run_name="bravo", start_time=1.25) repr_ = repr(x) self.assertIn(repr(x.run_id), repr_) self.assertIn(repr(x.run_name), repr_) self.assertIn(repr(x.start_time), repr_) class ScalarTimeSeriesTest(tb_test.TestCase): def test_repr(self): x = provider.ScalarTimeSeries( max_step=77, max_wall_time=1234.5, plugin_content=b"AB\xCD\xEF!\x00", description="test test", display_name="one two", ) repr_ = repr(x) self.assertIn(repr(x.max_step), repr_) self.assertIn(repr(x.max_wall_time), repr_) self.assertIn(repr(x.plugin_content), repr_) self.assertIn(repr(x.description), repr_) self.assertIn(repr(x.display_name), repr_) def test_eq(self): x1 = provider.ScalarTimeSeries(77, 1234.5, b"\x12", "one", "two") x2 = provider.ScalarTimeSeries(77, 1234.5, b"\x12", "one", "two") x3 = provider.ScalarTimeSeries(66, 4321.0, b"\x7F", "hmm", "hum") self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.ScalarTimeSeries(77, 1234.5, b"\x12", "one", "two") x2 = provider.ScalarTimeSeries(77, 1234.5, b"\x12", "one", "two") x3 = provider.ScalarTimeSeries(66, 4321.0, b"\x7F", "hmm", "hum") self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class ScalarDatumTest(tb_test.TestCase): def test_repr(self): x = provider.ScalarDatum(step=123, wall_time=234.5, value=-0.125) repr_ = repr(x) self.assertIn(repr(x.step), repr_) self.assertIn(repr(x.wall_time), repr_) self.assertIn(repr(x.value), repr_) def test_eq(self): x1 = provider.ScalarDatum(step=12, wall_time=0.25, value=1.25) x2 = provider.ScalarDatum(step=12, wall_time=0.25, value=1.25) x3 = provider.ScalarDatum(step=23, wall_time=3.25, value=-0.5) self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.ScalarDatum(step=12, wall_time=0.25, value=1.25) x2 = provider.ScalarDatum(step=12, wall_time=0.25, value=1.25) x3 = provider.ScalarDatum(step=23, wall_time=3.25, value=-0.5) self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class TensorTimeSeriesTest(tb_test.TestCase): def test_repr(self): x = provider.TensorTimeSeries( max_step=77, max_wall_time=1234.5, plugin_content=b"AB\xCD\xEF!\x00", description="test test", display_name="one two", ) repr_ = repr(x) self.assertIn(repr(x.max_step), repr_) self.assertIn(repr(x.max_wall_time), repr_) self.assertIn(repr(x.plugin_content), repr_) self.assertIn(repr(x.description), repr_) self.assertIn(repr(x.display_name), repr_) def test_eq(self): x1 = provider.TensorTimeSeries(77, 1234.5, b"\x12", "one", "two") x2 = provider.TensorTimeSeries(77, 1234.5, b"\x12", "one", "two") x3 = provider.TensorTimeSeries(66, 4321.0, b"\x7F", "hmm", "hum") self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.TensorTimeSeries(77, 1234.5, b"\x12", "one", "two") x2 = provider.TensorTimeSeries(77, 1234.5, b"\x12", "one", "two") x3 = provider.TensorTimeSeries(66, 4321.0, b"\x7F", "hmm", "hum") self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class TensorDatumTest(tb_test.TestCase): def test_repr(self): x = provider.TensorDatum( step=123, wall_time=234.5, numpy=np.array(-0.25) ) repr_ = repr(x) self.assertIn(repr(x.step), repr_) self.assertIn(repr(x.wall_time), repr_) self.assertIn(repr(x.numpy), repr_) def test_eq(self): nd = np.array x1 = provider.TensorDatum(step=12, wall_time=0.25, numpy=nd([1.0, 2.0])) x2 = provider.TensorDatum(step=12, wall_time=0.25, numpy=nd([1.0, 2.0])) x3 = provider.TensorDatum( step=23, wall_time=3.25, numpy=nd([-0.5, -2.5]) ) self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_eq_with_rank0_tensor(self): x1 = provider.TensorDatum( step=12, wall_time=0.25, numpy=np.array([1.25]) ) x2 = provider.TensorDatum( step=12, wall_time=0.25, numpy=np.array([1.25]) ) x3 = provider.TensorDatum( step=23, wall_time=3.25, numpy=np.array([1.25]) ) self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x = provider.TensorDatum( step=12, wall_time=0.25, numpy=np.array([1.25]) ) with six.assertRaisesRegex(self, TypeError, "unhashable type"): hash(x) class BlobSequenceTimeSeriesTest(tb_test.TestCase): def test_repr(self): x = provider.BlobSequenceTimeSeries( max_step=77, max_wall_time=1234.5, latest_max_index=6, plugin_content=b"AB\xCD\xEF!\x00", description="test test", display_name="one two", ) repr_ = repr(x) self.assertIn(repr(x.max_step), repr_) self.assertIn(repr(x.max_wall_time), repr_) self.assertIn(repr(x.latest_max_index), repr_) self.assertIn(repr(x.plugin_content), repr_) self.assertIn(repr(x.description), repr_) self.assertIn(repr(x.display_name), repr_) def test_eq(self): x1 = provider.BlobSequenceTimeSeries( 77, 1234.5, 6, b"\x12", "one", "two" ) x2 = provider.BlobSequenceTimeSeries( 77, 1234.5, 6, b"\x12", "one", "two" ) x3 = provider.BlobSequenceTimeSeries( 66, 4321.0, 7, b"\x7F", "hmm", "hum" ) self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.BlobSequenceTimeSeries( 77, 1234.5, 6, b"\x12", "one", "two" ) x2 = provider.BlobSequenceTimeSeries( 77, 1234.5, 6, b"\x12", "one", "two" ) x3 = provider.BlobSequenceTimeSeries( 66, 4321.0, 7, b"\x7F", "hmm", "hum" ) self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class BlobReferenceTest(tb_test.TestCase): def test_repr(self): x = provider.BlobReference(url="foo", blob_key="baz") repr_ = repr(x) self.assertIn(repr(x.url), repr_) self.assertIn(repr(x.blob_key), repr_) def test_eq(self): x1 = provider.BlobReference(url="foo", blob_key="baz") x2 = provider.BlobReference(url="foo", blob_key="baz") x3 = provider.BlobReference(url="foo", blob_key="qux") self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.BlobReference(url="foo", blob_key="baz") x2 = provider.BlobReference(url="foo", blob_key="baz") x3 = provider.BlobReference(url="foo", blob_key="qux") self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class BlobSequenceDatumTest(tb_test.TestCase): def test_repr(self): x = provider.BlobSequenceDatum( step=123, wall_time=234.5, values=("foo", "bar", "baz") ) repr_ = repr(x) self.assertIn(repr(x.step), repr_) self.assertIn(repr(x.wall_time), repr_) self.assertIn(repr(x.values), repr_) def test_eq(self): x1 = provider.BlobSequenceDatum( step=12, wall_time=0.25, values=("foo", "bar", "baz") ) x2 = provider.BlobSequenceDatum( step=12, wall_time=0.25, values=("foo", "bar", "baz") ) x3 = provider.BlobSequenceDatum( step=23, wall_time=3.25, values=("qux",) ) self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object()) def test_hash(self): x1 = provider.BlobSequenceDatum( step=12, wall_time=0.25, values=("foo", "bar", "baz") ) x2 = provider.BlobSequenceDatum( step=12, wall_time=0.25, values=("foo", "bar", "baz") ) x3 = provider.BlobSequenceDatum( step=23, wall_time=3.25, values=("qux",) ) self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3)) class RunTagFilterTest(tb_test.TestCase): def test_defensive_copy(self): runs = ["r1"] tags = ["t1"] f = provider.RunTagFilter(runs, tags) runs.append("r2") tags.pop() self.assertEqual(frozenset(f.runs), frozenset(["r1"])) self.assertEqual(frozenset(f.tags), frozenset(["t1"])) def test_repr(self): x = provider.RunTagFilter(runs=["one", "two"], tags=["three", "four"]) repr_ = repr(x) self.assertIn(repr(x.runs), repr_) self.assertIn(repr(x.tags), repr_) if __name__ == "__main__": tb_test.main()

37.383436

80

0.60983

1,584

12,187

4.550505

0.132576

0.028441

0.071032

0.075472

0.787875

0.752358

0.736404

0.723779

0.711709

0.674806

0

0.05354

0.249036

12,187

325

81

37.498462

0.734047

0.133503

0

0.64

0

0.042478

0

0.3

1

0.108

false

0

0.028

0

0.176

0.004

0

null

0

1

0

null

0

5

8abc2371b09e8589c8903e0bd7aec7b41b5e2dc5

131,968

py

Python

third_party/blink/tools/blinkpy/web_tests/run_web_tests_unittest.py

Ron423c/chromium

2edf7b980065b648f8b2a6e52193d83832fe36b7

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

575

2015-06-18T23:58:20.000Z

2022-03-23T09:32:39.000Z

third_party/blink/tools/blinkpy/web_tests/run_web_tests_unittest.py

Ron423c/chromium

2edf7b980065b648f8b2a6e52193d83832fe36b7

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

113

2015-05-04T09:58:14.000Z

2022-01-31T19:35:03.000Z

third_party/blink/tools/blinkpy/web_tests/run_web_tests_unittest.py

iridium-browser/iridium-browser

907e31cf5ce5ad14d832796e3a7c11e496828959

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

52

2015-07-14T10:40:50.000Z

2022-03-15T01:11:49.000Z

# Copyright (C) 2010 Google Inc. All rights reserved. # Copyright (C) 2010 Gabor Rapcsanyi (rgabor@inf.u-szeged.hu), University of Szeged # Copyright (C) 2011 Apple Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import json import os import re import StringIO import sys import unittest from blinkpy.common import exit_codes from blinkpy.common import path_finder from blinkpy.common.host import Host from blinkpy.common.host_mock import MockHost from blinkpy.common.path_finder import WEB_TESTS_LAST_COMPONENT from blinkpy.common.system.path import abspath_to_uri from blinkpy.common.system.system_host import SystemHost from blinkpy.w3c.wpt_manifest import MANIFEST_NAME from blinkpy.web_tests import run_web_tests from blinkpy.web_tests.models import test_expectations from blinkpy.web_tests.models import test_failures from blinkpy.web_tests.models.typ_types import ResultType from blinkpy.web_tests.port import test from blinkpy.web_tests.views.printing import Printer import mock # pylint: disable=wrong-import-position def parse_args(extra_args=None, tests_included=False): extra_args = extra_args or [] args = [] if not '--platform' in extra_args: args.extend(['--platform', 'test']) if not {'--jobs', '-j', '--child-processes'}.intersection(set(args)): args.extend(['--jobs', 1]) args.extend(extra_args) if not tests_included: # We use the glob to test that globbing works. args.extend( ['passes', 'http/tests', 'websocket/tests', 'failures/expected/*']) return run_web_tests.parse_args(args) def passing_run(extra_args=None, port_obj=None, tests_included=False, host=None, shared_port=True): options, parsed_args = parse_args(extra_args, tests_included) if not port_obj: host = host or MockHost() port_obj = host.port_factory.get( port_name=options.platform, options=options) if shared_port: port_obj.host.port_factory.get = lambda *args, **kwargs: port_obj printer = Printer(host, options, StringIO.StringIO()) run_details = run_web_tests.run(port_obj, options, parsed_args, printer) return run_details.exit_code == 0 def logging_run(extra_args=None, port_obj=None, tests_included=False, host=None, shared_port=True): options, parsed_args = parse_args( extra_args=extra_args, tests_included=tests_included) host = host or MockHost() if not port_obj: port_obj = host.port_factory.get( port_name=options.platform, options=options) run_details, output = run_and_capture(port_obj, options, parsed_args, shared_port) return (run_details, output, host.user) def run_and_capture(port_obj, options, parsed_args, shared_port=True): if shared_port: port_obj.host.port_factory.get = lambda *args, **kwargs: port_obj logging_stream = StringIO.StringIO() printer = Printer(port_obj.host, options, logging_stream) run_details = run_web_tests.run(port_obj, options, parsed_args, printer) return (run_details, logging_stream) def get_tests_run(args, host=None, port_obj=None): results = get_test_results(args, host=host, port_obj=port_obj) return [result.test_name for result in results] def get_test_batches(args, host=None): results = get_test_results(args, host) batches = [] batch = [] current_pid = None for result in results: if batch and result.pid != current_pid: batches.append(batch) batch = [] batch.append(result.test_name) if batch: batches.append(batch) return batches def get_test_results(args, host=None, port_obj=None): options, parsed_args = parse_args(args, tests_included=True) host = host or MockHost() port_obj = port_obj or host.port_factory.get( port_name=options.platform, options=options) printer = Printer(host, options, StringIO.StringIO()) run_details = run_web_tests.run(port_obj, options, parsed_args, printer) all_results = [] if run_details.initial_results: all_results.extend(run_details.initial_results.all_results) for retry_results in run_details.all_retry_results: all_results.extend(retry_results.all_results) return all_results def parse_full_results(full_results_text): json_to_eval = full_results_text.replace('ADD_RESULTS(', '').replace( ');', '') compressed_results = json.loads(json_to_eval) return compressed_results class StreamTestingMixin(object): def assert_contains(self, stream, string): self.assertIn(string, stream.getvalue()) def assert_not_empty(self, stream): self.assertTrue(stream.getvalue()) class RunTest(unittest.TestCase, StreamTestingMixin): def setUp(self): # A real PlatformInfo object is used here instead of a # MockPlatformInfo because we need to actually check for # Windows and Mac to skip some tests. self._platform = SystemHost().platform def test_basic(self): options, args = parse_args( extra_args=[ '--json-failing-test-results', '/tmp/json_failing_test_results.json' ], tests_included=True) logging_stream = StringIO.StringIO() host = MockHost() port_obj = host.port_factory.get(options.platform, options) printer = Printer(host, options, logging_stream) details = run_web_tests.run(port_obj, options, args, printer) # These numbers will need to be updated whenever we add new tests. self.assertEqual(details.initial_results.total, test.TOTAL_TESTS) self.assertEqual(details.initial_results.expected_skips, test.TOTAL_SKIPS) self.assertEqual( len(details.initial_results.unexpected_results_by_name), test.UNEXPECTED_PASSES + test.UNEXPECTED_FAILURES) self.assertEqual(details.exit_code, test.UNEXPECTED_FAILURES) self.assertEqual(details.all_retry_results[0].total, test.UNEXPECTED_FAILURES) expected_tests = ( details.initial_results.total - details.initial_results.expected_skips - len( details.initial_results.unexpected_results_by_name)) expected_summary_str = '' if details.initial_results.expected_failures > 0: expected_summary_str = " (%d passed, %d didn't)" % ( expected_tests - details.initial_results.expected_failures, details.initial_results.expected_failures) one_line_summary = "%d tests ran as expected%s, %d didn't:\n" % ( expected_tests, expected_summary_str, len(details.initial_results.unexpected_results_by_name)) self.assertIn(one_line_summary, logging_stream.buflist) # Ensure the results were summarized properly. self.assertEqual(details.summarized_failing_results['num_regressions'], details.exit_code) # Ensure the results were written out and displayed. failing_results_text = host.filesystem.read_text_file( '/tmp/layout-test-results/failing_results.json') json_to_eval = failing_results_text.replace('ADD_RESULTS(', '').replace(');', '') self.assertEqual( json.loads(json_to_eval), details.summarized_failing_results) full_results_text = host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json') self.assertEqual( json.loads(full_results_text), details.summarized_full_results) self.assertEqual(host.user.opened_urls, [ abspath_to_uri(MockHost().platform, '/tmp/layout-test-results/results.html') ]) def test_max_locked_shards(self): # Tests for the default of using one locked shard even in the case of more than one child process. _, regular_output, _ = logging_run( ['--debug-rwt-logging', '--jobs', '2'], shared_port=False) self.assertTrue( any('1 locked' in line for line in regular_output.buflist)) def test_child_processes_2(self): _, regular_output, _ = logging_run( ['--debug-rwt-logging', '--jobs', '2'], shared_port=False) self.assertTrue( any(['Running 2 ' in line for line in regular_output.buflist])) def test_child_processes_min(self): _, regular_output, _ = logging_run([ '--debug-rwt-logging', '--jobs', '2', '-i', 'passes/virtual_passes', 'passes' ], tests_included=True, shared_port=False) self.assertTrue( any(['Running 1 ' in line for line in regular_output.buflist])) def test_dryrun(self): tests_run = get_tests_run(['--dry-run']) self.assertEqual(tests_run, []) tests_run = get_tests_run(['-n']) self.assertEqual(tests_run, []) def test_enable_sanitizer(self): self.assertTrue( passing_run([ '--enable-sanitizer', '--order', 'natural', 'failures/expected/text.html' ])) def test_exception_raised(self): # Exceptions raised by a worker are treated differently depending on # whether they are in-process or out. inline exceptions work as normal, # which allows us to get the full stack trace and traceback from the # worker. The downside to this is that it could be any error, but this # is actually useful in testing. # # Exceptions raised in a separate process are re-packaged into # WorkerExceptions (a subclass of BaseException), which have a string capture of the stack which can # be printed, but don't display properly in the unit test exception handlers. with self.assertRaises(BaseException): logging_run(['failures/expected/exception.html', '--jobs', '1'], tests_included=True) with self.assertRaises(BaseException): logging_run([ '--jobs', '2', '--skipped=ignore', 'failures/expected/exception.html', 'passes/text.html' ], tests_included=True, shared_port=False) def test_device_failure(self): # Test that we handle a device going offline during a test properly. host = MockHost() details, regular_output, _ = logging_run( ['passes/text.html', 'failures/expected/device_failure.html', '--ignore-default-expectations', '--order=none'], tests_included=True, host=host) self.assertEqual(details.exit_code, exit_codes.EARLY_EXIT_STATUS) output = regular_output.getvalue() self.assertIn('failed unexpectedly (skipped due to early exit)', output) self.assertIn('worker/0 has failed', output) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual(results['num_regressions'], 1) test_results = results['tests']['failures']['expected']['device_failure.html'] self.assertEqual(test_results['actual'], 'SKIP') self.assertEqual(test_results['is_regression'], True) self.assertIn('All workers have device failures. Exiting.', output) self.assertEqual(results['tests']['passes']['text.html']['actual'], 'PASS') def test_keyboard_interrupt(self): # Note that this also tests running a test marked as SKIP if # you specify it explicitly. details, _, _ = logging_run( ['failures/expected/keyboard.html', '--jobs', '1'], tests_included=True) self.assertEqual(details.exit_code, exit_codes.INTERRUPTED_EXIT_STATUS) _, regular_output, _ = logging_run([ 'failures/expected/keyboard.html', 'passes/text.html', '--jobs', '2', '--skipped=ignore' ], tests_included=True, shared_port=False) self.assertTrue( any([ 'Interrupted, exiting' in line for line in regular_output.buflist ])) def test_no_tests_found(self): details, err, _ = logging_run(['resources'], tests_included=True) self.assertEqual(details.exit_code, exit_codes.NO_TESTS_EXIT_STATUS) self.assert_contains(err, 'No tests to run.\n') def test_no_tests_found_2(self): details, err, _ = logging_run(['foo'], tests_included=True) self.assertEqual(details.exit_code, exit_codes.NO_TESTS_EXIT_STATUS) self.assert_contains(err, 'No tests to run.\n') def test_no_tests_found_3(self): details, err, _ = logging_run( ['--shard-index', '4', '--total-shards', '400', 'foo/bar.html'], tests_included=True) self.assertEqual(details.exit_code, exit_codes.NO_TESTS_EXIT_STATUS) self.assert_contains(err, 'No tests to run.\n') def test_no_tests_found_with_ok_flag(self): details, err, _ = logging_run( ['resources', '--zero-tests-executed-ok'], tests_included=True) self.assertEqual(details.exit_code, exit_codes.OK_EXIT_STATUS) self.assert_contains(err, 'No tests to run.\n') def test_no_tests_found_with_ok_flag_shards(self): details, err, _ = logging_run([ '--shard-index', '4', '--total-shards', '40', 'foo/bar.html', '--zero-tests-executed-ok' ], tests_included=True) self.assertEqual(details.exit_code, exit_codes.OK_EXIT_STATUS) self.assert_contains(err, 'No tests to run.\n') def test_natural_order(self): tests_to_run = [ 'passes/audio.html', 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=natural'] + tests_to_run) self.assertEqual([ 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/args.html', 'passes/audio.html' ], tests_run) def test_natural_order_test_specified_multiple_times(self): tests_to_run = [ 'passes/args.html', 'passes/audio.html', 'passes/audio.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=natural'] + tests_to_run) # because of deduping the test list, they should be run once. self.assertEqual([ 'passes/args.html', 'passes/audio.html' ], tests_run) def test_random_order(self): tests_to_run = [ 'passes/audio.html', 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=random'] + tests_to_run) self.assertEqual(sorted(tests_to_run), sorted(tests_run)) def test_random_order_with_seed(self): tests_to_run = [ 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/args.html', 'passes/audio.html', ] tests_run = get_tests_run(['--order=random', '--seed=5'] + sorted(tests_to_run)) expected_order = [ 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/audio.html', 'passes/args.html', ] self.assertEqual(tests_run, expected_order) def test_random_order_with_timestamp_seed(self): tests_to_run = sorted([ 'failures/unexpected/missing_text.html', 'failures/expected/text.html', 'passes/args.html', 'passes/audio.html', ]) run_1 = get_tests_run( ['--order=random'] + tests_to_run, host=MockHost(time_return_val=10)) run_2 = get_tests_run( ['--order=random'] + tests_to_run, host=MockHost(time_return_val=10)) self.assertEqual(run_1, run_2) run_3 = get_tests_run( ['--order=random'] + tests_to_run, host=MockHost(time_return_val=20)) self.assertNotEqual(run_1, run_3) def test_random_order_test_specified_multiple_times(self): tests_to_run = [ 'passes/args.html', 'passes/audio.html', 'passes/audio.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=random'] + tests_to_run) # because of deduping the test list, they should be run once. self.assertEqual(tests_run.count('passes/audio.html'), 1) self.assertEqual(tests_run.count('passes/args.html'), 1) def test_no_order(self): tests_to_run = [ 'passes/audio.html', 'failures/expected/text.html', 'failures/unexpected/missing_text.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=none'] + tests_to_run) self.assertEqual(tests_to_run, tests_run) def test_no_order_test_specified_multiple_times(self): tests_to_run = [ 'passes/args.html', 'passes/audio.html', 'passes/audio.html', 'passes/args.html' ] tests_run = get_tests_run(['--order=none'] + tests_to_run) # because of deduping the test list, they should be run once. self.assertEqual(['passes/args.html', 'passes/audio.html'], tests_run) def test_no_order_with_directory_entries_in_natural_order(self): tests_to_run = ['http/tests/ssl', 'perf/foo', 'http/tests/passes'] tests_run = get_tests_run(['--order=none'] + tests_to_run) self.assertEqual(tests_run, [ 'http/tests/ssl/text.html', 'perf/foo/test.html', 'http/tests/passes/image.html', 'http/tests/passes/text.html' ]) def test_repeat_each(self): tests_to_run = ['passes/image.html', 'passes/text.html'] tests_run = get_tests_run( ['--repeat-each', '2', '--order', 'natural'] + tests_to_run) self.assertEqual(tests_run, [ 'passes/image.html', 'passes/image.html', 'passes/text.html', 'passes/text.html' ]) def test_gtest_repeat(self): tests_to_run = ['passes/image.html', 'passes/text.html'] tests_run = get_tests_run( ['--gtest_repeat', '2', '--order', 'natural'] + tests_to_run) self.assertEqual(tests_run, [ 'passes/image.html', 'passes/text.html', 'passes/image.html', 'passes/text.html' ]) def test_gtest_repeat_overrides_iterations(self): tests_to_run = ['passes/image.html', 'passes/text.html'] tests_run = get_tests_run( ['--iterations', '4', '--gtest_repeat', '2', '--order', 'natural' ] + tests_to_run) self.assertEqual(tests_run, [ 'passes/image.html', 'passes/text.html', 'passes/image.html', 'passes/text.html' ]) def test_ignore_flag(self): # Note that passes/image.html is expected to be run since we specified it directly. tests_run = get_tests_run(['-i', 'passes', 'passes/image.html']) self.assertNotIn('passes/text.html', tests_run) self.assertIn('passes/image.html', tests_run) def test_skipped_flag(self): tests_run = get_tests_run(['passes']) self.assertNotIn('passes/skipped/skip.html', tests_run) num_tests_run_by_default = len(tests_run) # Check that nothing changes when we specify skipped=default. self.assertEqual( len(get_tests_run(['--skipped=default', 'passes'])), num_tests_run_by_default) # Now check that we run one more test (the skipped one). tests_run = get_tests_run(['--skipped=ignore', 'passes']) self.assertIn('passes/skipped/skip.html', tests_run) self.assertEqual(len(tests_run), num_tests_run_by_default + 1) # Now check that we only run the skipped test. self.assertEqual( get_tests_run(['--skipped=only', 'passes']), ['passes/skipped/skip.html']) # Now check that we don't run anything. self.assertEqual( get_tests_run(['--skipped=always', 'passes/skipped/skip.html']), []) def test_isolated_script_test_also_run_disabled_tests(self): self.assertEqual( sorted( get_tests_run([ '--isolated-script-test-also-run-disabled-tests', 'passes' ])), sorted(get_tests_run(['--skipped=ignore', 'passes']))) def test_gtest_also_run_disabled_tests(self): self.assertEqual( sorted( get_tests_run(['--gtest_also_run_disabled_tests', 'passes'])), sorted(get_tests_run(['--skipped=ignore', 'passes']))) def test_iterations(self): tests_to_run = ['passes/image.html', 'passes/text.html'] tests_run = get_tests_run(['--iterations', '2', '--order', 'natural'] + tests_to_run) self.assertEqual(tests_run, [ 'passes/image.html', 'passes/text.html', 'passes/image.html', 'passes/text.html' ]) def test_repeat_each_iterations_num_tests(self): # The total number of tests should be: number_of_tests * # repeat_each * iterations host = MockHost() _, err, _ = logging_run([ '--iterations', '2', '--repeat-each', '4', '--debug-rwt-logging', 'passes/text.html', 'failures/expected/text.html' ], tests_included=True, host=host) self.assert_contains( err, "All 16 tests ran as expected (8 passed, 8 didn't).\n") def test_skip_failing_tests(self): # This tests that we skip both known failing and known flaky tests. Because there are # no known flaky tests in the default test_expectations, we add additional expectations. host = MockHost() host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Failure Pass ]\npasses/image.html [ Failure Pass ]\n' ) batches = get_test_batches([ '--skip-failing-tests', '--additional-expectation=/tmp/additional.txt', ], host=host) has_passes_text = False for batch in batches: self.assertNotIn('failures/expected/text.html', batch) self.assertNotIn('passes/image.html', batch) has_passes_text = has_passes_text or ('passes/text.html' in batch) self.assertTrue(has_passes_text) def test_single_file(self): tests_run = get_tests_run(['passes/text.html']) self.assertEqual(tests_run, ['passes/text.html']) def test_single_file_with_prefix(self): tests_run = get_tests_run( [WEB_TESTS_LAST_COMPONENT + '/passes/text.html']) self.assertEqual(['passes/text.html'], tests_run) def test_no_flag_specific_files_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Timeout ]\nfailures/expected/text.html [ Timeout ]') self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', '--additional-expectations=/tmp/additional.txt', 'failures/expected/text.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['expected']['text.html'] self.assertNotIn('flag_name', results) self.assertNotIn('flag_expectations', test_results) self.assertNotIn('base_expectations', test_results) def test_no_flag_expectations_found_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') flag_exp_path = host.filesystem.join( port.web_tests_dir(), 'FlagExpectations', 'composite-after-paint') host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Timeout ]\nfailures/expected/text.html [ Timeout ]') host.filesystem.write_text_file(flag_exp_path, '') self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', '--additional-expectations=/tmp/additional.txt', 'failures/expected/text.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['expected']['text.html'] self.assertEqual(results['flag_name'], '/composite-after-paint') self.assertNotIn('flag_expectations', test_results) self.assertNotIn('base_expectations', test_results) def test_pass_flag_expectations_in_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') flag_exp_path = host.filesystem.join( port.web_tests_dir(), 'FlagExpectations', 'composite-after-paint') host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Timeout ]\nfailures/expected/text.html [ Timeout ]') host.filesystem.write_text_file( flag_exp_path, '# results: [ Slow Pass ]\nfailures/expected/text.html [ Pass ]\n') self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', '--additional-expectations=/tmp/additional.txt', 'failures/expected/text.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual(results['flag_name'], '/composite-after-paint') test_results = results['tests']['failures']['expected']['text.html'] self.assertEqual(test_results['expected'], 'PASS') self.assertEqual(test_results['flag_expectations'], ['PASS']) self.assertEqual(test_results['base_expectations'], ['FAIL', 'TIMEOUT']) def test_slow_flag_expectations_in_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') flag_exp_path = host.filesystem.join(port.web_tests_dir(), 'FlagExpectations', 'composite-after-paint') host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Timeout Crash ]\n' 'failures/expected/text.html [ Timeout ]\n' 'failures/expected/image.html [ Crash ]') host.filesystem.write_text_file( flag_exp_path, '# results: [ Slow Pass ]\n' 'failures/expected/text.html [ Slow ]\n' 'failures/expected/image.html [ Pass Slow ]') self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', '--additional-expectations=/tmp/additional.txt', 'failures/expected/text.html', 'failures/expected/image.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual(results['flag_name'], '/composite-after-paint') text_results = results['tests']['failures']['expected']['text.html'] # A single [ Slow ] just indicates the test is slow, but doesn't create # an explicit [ Pass ] expectation. self.assertNotIn('flag_expectations', text_results) self.assertNotIn('base_expectations', text_results) self.assertEqual(text_results['expected'], 'FAIL TIMEOUT') image_results = results['tests']['failures']['expected']['image.html'] self.assertEqual(image_results['expected'], 'PASS') self.assertEqual(image_results['flag_expectations'], ['PASS']) self.assertEqual(image_results['base_expectations'], ['FAIL', 'CRASH']) def test_flag_and_base_expectations_in_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') flag_exp_path = host.filesystem.join( port.web_tests_dir(), 'FlagExpectations', 'composite-after-paint') host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Timeout ]\nfailures/expected/text.html [ Timeout ]') host.filesystem.write_text_file( flag_exp_path, '# results: [ Crash Failure ]\nfailures/expected/text.html [ Crash Failure ]' ) self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', '--additional-expectations=/tmp/additional.txt', 'failures/expected/text.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['expected']['text.html'] self.assertEqual(results['flag_name'], '/composite-after-paint') self.assertEqual(test_results['expected'], 'FAIL CRASH') self.assertEqual(test_results['flag_expectations'], ['FAIL', 'CRASH']) self.assertEqual(test_results['base_expectations'], ['FAIL', 'TIMEOUT']) def test_flag_and_default_base_expectations_in_json_results(self): host = MockHost() port = host.port_factory.get('test-win-win7') flag_exp_path = host.filesystem.join( port.web_tests_dir(), 'FlagExpectations', 'composite-after-paint') host.filesystem.write_text_file( flag_exp_path, '# results: [ Failure ]\npasses/args.html [ Failure ]') self.assertTrue( logging_run([ '--order=natural', '--num-retries=1', '--additional-driver-flag=--composite-after-paint', 'passes/args.html', ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['passes']['args.html'] self.assertEqual(results['flag_name'], '/composite-after-paint') self.assertEqual(test_results['expected'], 'FAIL') self.assertEqual(test_results['flag_expectations'], ['FAIL']) self.assertEqual(test_results['base_expectations'], ['PASS']) def test_stderr_is_saved(self): host = MockHost() self.assertTrue(passing_run(host=host)) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/passes/error-stderr.txt'), 'stuff going to stderr') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['passes']['error.html'] self.assertEqual(test_results['artifacts']['stderr'], ['layout-test-results/passes/error-stderr.txt']) def test_crash_log_is_saved(self): host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash.html', '--num-retries', '1' ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/failures/unexpected/crash-crash-log.txt' ), 'crash log') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected']['crash.html'] self.assertEqual(test_results['artifacts']['crash_log'], [ 'layout-test-results/failures/unexpected/crash-crash-log.txt', 'layout-test-results/retry_1/failures/unexpected/crash-crash-log.txt' ]) def test_crash_log_is_saved_after_delay(self): host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash-with-delayed-log.html', '--num-retries', '1' ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/failures/unexpected/crash-with-delayed-log-crash-log.txt' ), 'delayed crash log') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'crash-with-delayed-log.html'] self.assertEqual(test_results['artifacts']['crash_log'], [ 'layout-test-results/failures/unexpected/crash-with-delayed-log-crash-log.txt', 'layout-test-results/retry_1/failures/unexpected/crash-with-delayed-log-crash-log.txt' ]) def test_reftest_mismatch_with_text_mismatch_only_writes_stderr_once(self): # test that there is no exception when two failure types, FailureTextMismatch and # FailureReftestMismatch both have the same stderr to print out. host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/reftest-mismatch-with-text-mismatch-with-stderr.html', ], tests_included=True, host=host)) @unittest.skip('Need to make subprocesses use mock filesystem') def test_crash_log_is_saved_after_delay_using_multiple_jobs(self): # TODO(rmhasan): When web_test_runner.run() spawns multiple jobs it uses # the non mock file system. We should figure out how to make all subprocesses # use the mock file system. host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash-with-delayed-log.html', 'passes/args.html', '-j', '2' ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'crash-with-delayed-log.html'] self.assertEqual( test_results['artifacts']['crash_log'], ['failures/unexpected/crash-with-delayed-log-crash-log.txt']) def test_crash_sample_file_is_saved(self): host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash-with-sample.html', '--num-retries', '1' ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/failures/unexpected/crash-with-sample-sample.txt' ), 'crash sample file') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'crash-with-sample.html'] self.assertEqual(test_results['artifacts']['sample_file'], [ 'layout-test-results/failures/unexpected/crash-with-sample-sample.txt', 'layout-test-results/retry_1/failures/unexpected/crash-with-sample-sample.txt' ]) @unittest.skip('Need to make subprocesses use mock filesystem') def test_crash_sample_file_is_saved_multiple_jobs(self): host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash-with-sample.html', 'passes/image.html', '--num-retries', '1', '-j', '2' ], tests_included=True, host=host)) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'crash-with-sample.html'] self.assertEqual(test_results['artifacts']['sample_file'], [ 'layout-test-results/failures/unexpected/crash-with-sample-sample.txt', 'layout-test-results/retry_1/failures/unexpected/crash-with-sample-sample.txt' ]) def test_reftest_crash_log_is_saved(self): host = MockHost() self.assertTrue( logging_run([ '--order', 'natural', 'failures/unexpected/crash-reftest.html', '--num-retries', '1' ], tests_included=True, host=host)) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/failures/unexpected/crash-reftest-crash-log.txt' ), 'reftest crash log') self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/retry_1/failures/unexpected/crash-reftest-crash-log.txt' ), 'reftest crash log') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'crash-reftest.html'] self.assertEqual(test_results['artifacts']['crash_log'], [ 'layout-test-results/failures/unexpected/crash-reftest-crash-log.txt', 'layout-test-results/retry_1/failures/unexpected/crash-reftest-crash-log.txt' ]) def test_test_list(self): host = MockHost() filename = '/tmp/foo.txt' test_list = 'passes/text.html' host.filesystem.write_text_file(filename, test_list) tests_run = get_tests_run(['--test-list=%s' % filename], host=host) self.assertEqual([test_list], tests_run) host.filesystem.remove(filename) # After the end of the with, the file is deleted. details, err, _ = logging_run(['--test-list=%s' % filename], tests_included=True, host=host) self.assertEqual(details.exit_code, exit_codes.NO_TESTS_EXIT_STATUS) self.assert_not_empty(err) def test_test_list_filter_glob(self): host = MockHost() filename = '/tmp/foo.txt' host.filesystem.write_text_file(filename, '-passes/t*') args = ['passes/text.html', 'passes/image.html'] tests_run = get_tests_run(['--test-list=%s' % filename] + args, host=host) self.assertEqual(tests_run, ['passes/image.html']) def test_test_list_filter(self): host = MockHost() filename = '/tmp/foo.txt' host.filesystem.write_text_file(filename, '-passes/image.html') args = ['passes/text.html', 'passes/image.html'] tests_run = get_tests_run(['--test-list=%s' % filename] + args, host=host) self.assertEqual(tests_run, ['passes/text.html']) def test_test_list_union(self): host = MockHost() filename1 = '/tmp/foo1.txt' filename2 = '/tmp/foo2.txt' test_list1 = 'passes/text.html' test_list2 = 'passes/image.html' host.filesystem.write_text_file(filename1, test_list1) host.filesystem.write_text_file(filename2, test_list2) # host and host2 are the same tests_run = get_tests_run( ['--test-list=%s' % filename1, '--test-list=%s' % filename2], host=host) self.assertEqual(tests_run, [test_list1, test_list2]) def test_test_list_with_prefix(self): host = MockHost() filename = '/tmp/foo.txt' host.filesystem.write_text_file( filename, WEB_TESTS_LAST_COMPONENT + '/passes/text.html') tests_run = get_tests_run(['--test-list=%s' % filename], host=host) self.assertEqual(['passes/text.html'], tests_run) def test_isolated_script_test_filter(self): host = MockHost() tests_run = get_tests_run([ '--isolated-script-test-filter=passes/text.html::passes/image.html', 'passes/error.html' ], host=host) self.assertEqual(sorted(tests_run), []) tests_run = get_tests_run([ '--isolated-script-test-filter=passes/error.html::passes/image.html', 'passes/error.html' ], host=host) self.assertEqual(sorted(tests_run), ['passes/error.html']) tests_run = get_tests_run([ '--isolated-script-test-filter=-passes/error.html::passes/image.html' ], host=host) self.assertEqual(sorted(tests_run), ['passes/image.html']) tests_run = get_tests_run([ '--isolated-script-test-filter=passes/error.html::passes/image.html', '--isolated-script-test-filter=-passes/error.html' ], host=host) self.assertEqual(sorted(tests_run), ['passes/image.html']) def test_gtest_filter(self): host = MockHost() tests_run = get_tests_run([ '--gtest_filter=passes/text.html:passes/image.html', 'passes/error.html' ], host=host) self.assertEqual( sorted(tests_run), ['passes/error.html', 'passes/image.html', 'passes/text.html']) def test_sharding_even(self): # Test that we actually select the right part tests_to_run = [ 'passes/error.html', 'passes/image.html', 'passes/platform_image.html', 'passes/text.html' ] with mock.patch('__builtin__.hash', len): # Shard 0 of 2 tests_run = get_tests_run([ '--shard-index', '0', '--total-shards', '2', '--order', 'natural' ] + tests_to_run) self.assertEqual( tests_run, ['passes/platform_image.html', 'passes/text.html']) # Shard 1 of 2 tests_run = get_tests_run([ '--shard-index', '1', '--total-shards', '2', '--order', 'natural' ] + tests_to_run) self.assertEqual(tests_run, ['passes/error.html', 'passes/image.html']) def test_sharding_uneven(self): tests_to_run = [ 'passes/error.html', 'passes/image.html', 'passes/platform_image.html', 'passes/text.html', 'perf/foo/test.html' ] with mock.patch('__builtin__.hash', len): # Shard 0 of 3 tests_run = get_tests_run([ '--shard-index', '0', '--total-shards', '3', '--order', 'natural' ] + tests_to_run) self.assertEqual(tests_run, ['perf/foo/test.html']) # Shard 1 of 3 tests_run = get_tests_run([ '--shard-index', '1', '--total-shards', '3', '--order', 'natural' ] + tests_to_run) self.assertEqual(tests_run, ['passes/text.html']) # Shard 2 of 3 tests_run = get_tests_run([ '--shard-index', '2', '--total-shards', '3', '--order', 'natural' ] + tests_to_run) self.assertEqual(tests_run, [ 'passes/error.html', 'passes/image.html', 'passes/platform_image.html' ]) def test_sharding_incorrect_arguments(self): with self.assertRaises(ValueError): get_tests_run(['--shard-index', '3']) with self.assertRaises(ValueError): get_tests_run(['--total-shards', '3']) with self.assertRaises(ValueError): get_tests_run(['--shard-index', '3', '--total-shards', '3']) def test_sharding_environ(self): tests_to_run = [ 'passes/error.html', 'passes/image.html', 'passes/platform_image.html', 'passes/text.html' ] host = MockHost() with mock.patch('__builtin__.hash', len): host.environ['GTEST_SHARD_INDEX'] = '0' host.environ['GTEST_TOTAL_SHARDS'] = '2' shard_0_tests_run = get_tests_run( ['--order', 'natural'] + tests_to_run, host=host) self.assertEqual( shard_0_tests_run, ['passes/platform_image.html', 'passes/text.html']) host.environ['GTEST_SHARD_INDEX'] = '1' host.environ['GTEST_TOTAL_SHARDS'] = '2' shard_1_tests_run = get_tests_run( ['--order', 'natural'] + tests_to_run, host=host) self.assertEqual(shard_1_tests_run, ['passes/error.html', 'passes/image.html']) def test_smoke_test(self): host = MockHost() smoke_test_filename = test.WEB_TEST_DIR + '/SmokeTests' host.filesystem.write_text_file(smoke_test_filename, 'passes/text.html\n') # Test the default smoke testing. tests_run = get_tests_run(['--smoke', '--order', 'natural'], host=host) self.assertEqual(['passes/text.html'], tests_run) # Test running the smoke tests plus some manually-specified tests. tests_run = get_tests_run( ['--smoke', 'passes/image.html', '--order', 'natural'], host=host) self.assertEqual(['passes/image.html', 'passes/text.html'], tests_run) # Test running the smoke tests plus some manually-specified tests. tests_run = get_tests_run( ['--no-smoke', 'passes/image.html', '--order', 'natural'], host=host) self.assertEqual(['passes/image.html'], tests_run) # Test that we don't run just the smoke tests by default on a normal test port. tests_run = get_tests_run(['--order', 'natural'], host=host) self.assertNotEqual(['passes/text.html'], tests_run) # Create a port that does run only the smoke tests by default, and verify that works as expected. port_obj = host.port_factory.get('test') port_obj.default_smoke_test_only = lambda: True tests_run = get_tests_run(['--order', 'natural'], host=host, port_obj=port_obj) self.assertEqual(['passes/text.html'], tests_run) # Verify that --no-smoke continues to work on a smoke-by-default port. tests_run = get_tests_run( ['--no-smoke', 'passes/image.html', '--order', 'natural'], host=host, port_obj=port_obj) self.assertNotIn('passes/text.html', tests_run) def test_smoke_test_default_retry(self): host = MockHost() smoke_test_filename = test.WEB_TEST_DIR + '/SmokeTests' host.filesystem.write_text_file( smoke_test_filename, 'failures/unexpected/text-image-checksum.html\n') # Retry if additional tests are given. _, err, __ = logging_run(['--smoke', 'passes/image.html'], host=host, tests_included=True) self.assertIn('Retrying', err.getvalue()) def test_results_json(self): # Test that we update expectations in place. If the expectation # is missing, update the expected generic location. host = MockHost() details, _, _ = logging_run([ '--no-show-results', 'failures/unexpected/missing_text.html', 'failures/unexpected/text-image-checksum.html', 'passes/slow.html', ], tests_included=True, host=host) self.assertEqual(details.exit_code, 2) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) results['tests']['failures']['unexpected'][ 'text-image-checksum.html'].pop('artifacts') self.assertEqual( results['tests']['failures']['unexpected'] ['text-image-checksum.html'], { 'expected': 'PASS', 'actual': 'FAIL', 'is_unexpected': True, 'is_regression': True, 'text_mismatch': 'general text mismatch', }) results['tests']['failures']['unexpected']['missing_text.html'].pop( 'artifacts') self.assertEqual( results['tests']['failures']['unexpected']['missing_text.html'], { 'expected': 'PASS', 'actual': 'FAIL', 'is_unexpected': True, 'is_regression': True, 'is_missing_text': True, }) self.assertEqual(results['tests']['passes']['slow.html'], { 'expected': 'PASS', 'actual': 'PASS', 'is_slow_test': True, }) self.assertEqual(results['num_passes'], 1) self.assertEqual(results['num_regressions'], 2) self.assertEqual(results['num_flaky'], 0) def test_different_failure_on_retry(self): # This tests that if a test fails two different ways -- both unexpected # -- we treat it as a failure rather than a flaky result. We use the # initial failure for simplicity and consistency w/ the flakiness # dashboard, even if the second failure is worse. details, _, _ = logging_run( ['--num-retries=3', 'failures/unexpected/text_then_crash.html'], tests_included=True) self.assertEqual(details.exit_code, 1) self.assertEqual( details.summarized_failing_results['tests']['failures'] ['unexpected']['text_then_crash.html']['actual'], 'FAIL CRASH CRASH CRASH') # If we get a test that fails two different ways -- but the second one is expected -- # we should treat it as a flaky result and report the initial unexpected failure type # to the dashboard. However, the test should be considered passing. details, _, _ = logging_run( ['--num-retries=3', 'failures/expected/crash_then_text.html'], tests_included=True) self.assertEqual(details.exit_code, 0) self.assertEqual( details.summarized_failing_results['tests']['failures']['expected'] ['crash_then_text.html']['actual'], 'CRASH FAIL') def test_watch(self): host = MockHost() host.user.set_canned_responses(['r', 'r', 'q']) _, output, _ = logging_run( ['--watch', 'failures/unexpected/text.html'], tests_included=True, host=host) output_string = output.getvalue() self.assertIn( 'Link to pretty diff:\nfile:///tmp/layout-test-results/failures/unexpected/text-pretty-diff.html', output_string) self.assertEqual( output_string.count( '[1/1] failures/unexpected/text.html failed unexpectedly (text diff)' ), 3) def test_crash_with_stderr(self): host = MockHost() logging_run(['failures/unexpected/crash-with-stderr.html'], tests_included=True, host=host) full_results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) self.assertEqual( full_results['tests']['failures']['unexpected'] ['crash-with-stderr.html']['has_stderr'], True) def test_no_image_failure_with_image_diff(self): host = MockHost() logging_run(['failures/unexpected/checksum-with-matching-image.html'], tests_included=True, host=host) self.assertTrue( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json').find( '"num_regressions":0') != -1) def test_exit_after_n_failures_upload(self): host = MockHost() details, regular_output, _ = logging_run([ 'failures/unexpected/text-image-checksum.html', 'passes/text.html', '--exit-after-n-failures', '1', '--order', 'natural' ], tests_included=True, host=host) # By returning False, we know that the incremental results were generated and then deleted. self.assertFalse( host.filesystem.exists( '/tmp/layout-test-results/incremental_results.json')) self.assertEqual(details.exit_code, exit_codes.EARLY_EXIT_STATUS) # This checks that passes/text.html is considered Skip-ped. self.assertIn( '"skipped":1', host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) # This checks that we told the user we bailed out. self.assertTrue('Exiting early after 1 failures. 1 tests run.\n' in regular_output.getvalue()) # This checks that neither test ran as expected. # FIXME: This log message is confusing; tests that were skipped should be called out separately. self.assertTrue('0 tests ran as expected, 2 didn\'t:\n' in regular_output.getvalue()) def test_exit_after_n_failures(self): # Unexpected failures should result in tests stopping. tests_run = get_tests_run([ 'failures/unexpected/text-image-checksum.html', 'passes/text.html', '--exit-after-n-failures', '1', '--order', 'natural' ]) self.assertEqual(['failures/unexpected/text-image-checksum.html'], tests_run) # But we'll keep going for expected ones. tests_run = get_tests_run([ 'failures/expected/text.html', 'passes/text.html', '--exit-after-n-failures', '1', '--order', 'natural' ]) self.assertEqual(['failures/expected/text.html', 'passes/text.html'], tests_run) def test_exit_after_n_crashes(self): # Unexpected crashes should result in tests stopping. tests_run = get_tests_run([ '--order', 'natural', 'failures/unexpected/crash.html', 'passes/text.html', '--exit-after-n-crashes-or-timeouts', '1' ]) self.assertEqual(['failures/unexpected/crash.html'], tests_run) # Same with timeouts. tests_run = get_tests_run([ 'failures/unexpected/timeout.html', 'passes/text.html', '--exit-after-n-crashes-or-timeouts', '1', '--order', 'natural' ]) self.assertEqual(['failures/unexpected/timeout.html'], tests_run) # But we'll keep going for expected ones. tests_run = get_tests_run([ 'failures/expected/crash.html', 'passes/text.html', '--exit-after-n-crashes-or-timeouts', '1', '--order', 'natural' ]) self.assertEqual(['failures/expected/crash.html', 'passes/text.html'], tests_run) def test_results_directory_absolute(self): # We run a configuration that should fail, to generate output, then # look for what the output results url was. host = MockHost() with host.filesystem.mkdtemp() as tmpdir: _, _, user = logging_run( ['--results-directory=' + str(tmpdir), '--order', 'natural'], tests_included=True, host=host) self.assertEqual(user.opened_urls, [ abspath_to_uri( host.platform, host.filesystem.join(tmpdir, 'layout-test-results', 'results.html')) ]) def test_results_directory_default(self): # We run a configuration that should fail, to generate output, then # look for what the output results url was. # This is the default location. _, _, user = logging_run(tests_included=True) self.assertEqual(user.opened_urls, [ abspath_to_uri(MockHost().platform, '/tmp/layout-test-results/results.html') ]) def test_results_directory_relative(self): # We run a configuration that should fail, to generate output, then # look for what the output results url was. host = MockHost() host.filesystem.maybe_make_directory('/tmp/cwd') host.filesystem.chdir('/tmp/cwd') _, _, user = logging_run(['--results-directory=foo'], tests_included=True, host=host) self.assertEqual(user.opened_urls, [ abspath_to_uri(host.platform, '/tmp/cwd/foo/layout-test-results/results.html') ]) def test_retrying_default_value(self): # Do not retry when the test list is explicit. host = MockHost() details, err, _ = logging_run( ['failures/unexpected/text-image-checksum.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) self.assertNotIn('Retrying', err.getvalue()) # Retry 3 times by default when the test list is not explicit. host = MockHost() details, err, _ = logging_run(['failures/unexpected'], tests_included=True, host=host) self.assertEqual(details.exit_code, test.UNEXPECTED_NON_VIRTUAL_FAILURES) self.assertIn('Retrying', err.getvalue()) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_1/failures/unexpected/text-image-checksum-actual.txt' )) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_2/failures/unexpected/text-image-checksum-actual.txt' )) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_3/failures/unexpected/text-image-checksum-actual.txt' )) def test_retrying_default_value_test_list(self): host = MockHost() filename = '/tmp/foo.txt' host.filesystem.write_text_file( filename, 'failures/unexpected/text-image-checksum.html\nfailures/unexpected/crash.html' ) details, err, _ = logging_run( ['--test-list=%s' % filename, '--order', 'natural'], tests_included=True, host=host) self.assertEqual(details.exit_code, 2) self.assertIn('Retrying', err.getvalue()) host = MockHost() filename = '/tmp/foo.txt' host.filesystem.write_text_file(filename, 'failures') details, err, _ = logging_run(['--test-list=%s' % filename], tests_included=True, host=host) self.assertEqual(details.exit_code, test.UNEXPECTED_NON_VIRTUAL_FAILURES) self.assertIn('Retrying', err.getvalue()) def test_retrying_and_flaky_tests(self): host = MockHost() details, err, _ = logging_run(['--num-retries=3', 'failures/flaky'], tests_included=True, host=host) self.assertEqual(details.exit_code, 0) self.assertIn('Retrying', err.getvalue()) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/failures/flaky/text-actual.txt')) self.assertFalse( host.filesystem.exists( '/tmp/layout-test-results/retry_1/failures/flaky/text-actual.txt' )) self.assertFalse( host.filesystem.exists( '/tmp/layout-test-results/retry_2/failures/flaky/text-actual.txt' )) self.assertFalse( host.filesystem.exists( '/tmp/layout-test-results/retry_3/failures/flaky/text-actual.txt' )) def test_retrying_crashed_tests(self): host = MockHost() details, err, _ = logging_run( ['--num-retries=3', 'failures/unexpected/crash.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) self.assertIn('Retrying', err.getvalue()) def test_retrying_leak_tests(self): host = MockHost() details, err, _ = logging_run( ['--num-retries=1', 'failures/unexpected/leak.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) self.assertIn('Retrying', err.getvalue()) self.assertEqual( host.filesystem.read_text_file( '/tmp/layout-test-results/failures/unexpected/leak-leak-log.txt' ), 'leak detected') results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected']['leak.html'] self.assertEqual(test_results['artifacts']['leak_log'], [ 'layout-test-results/failures/unexpected/leak-leak-log.txt', 'layout-test-results/retry_1/failures/unexpected/leak-leak-log.txt' ]) def test_unexpected_text_mismatch(self): host = MockHost() details, _, _ = logging_run([ '--num-retries=1', 'failures/unexpected/text-mismatch-overlay.html' ], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'text-mismatch-overlay.html'] self.assertEqual(test_results['artifacts']['actual_text'], [ 'layout-test-results/failures/unexpected/text-mismatch-overlay-actual.txt', 'layout-test-results/retry_1/failures/unexpected/text-mismatch-overlay-actual.txt' ]) self.assertEqual(test_results['artifacts']['expected_text'], [ 'layout-test-results/failures/unexpected/text-mismatch-overlay-expected.txt', 'layout-test-results/retry_1/failures/unexpected/text-mismatch-overlay-expected.txt' ]) self.assertEqual(test_results['artifacts']['text_diff'], [ 'layout-test-results/failures/unexpected/text-mismatch-overlay-diff.txt', 'layout-test-results/retry_1/failures/unexpected/text-mismatch-overlay-diff.txt' ]) self.assertEqual(test_results['artifacts']['pretty_text_diff'], [ 'layout-test-results/failures/unexpected/text-mismatch-overlay-pretty-diff.html', 'layout-test-results/retry_1/failures/unexpected/text-mismatch-overlay-pretty-diff.html' ]) self.assertEqual(test_results['artifacts']['overlay'], [ 'layout-test-results/failures/unexpected/text-mismatch-overlay-overlay.html', 'layout-test-results/retry_1/failures/unexpected/text-mismatch-overlay-overlay.html' ]) def test_unexpected_no_text_baseline(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-text-baseline.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-text-baseline.html'] self.assertEqual(test_results['artifacts']['actual_text'], [ 'layout-test-results/failures/unexpected/no-text-baseline-actual.txt', 'layout-test-results/retry_1/failures/unexpected/no-text-baseline-actual.txt' ]) self.assertNotIn('expected_text', test_results['artifacts']) self.assertEqual(test_results['artifacts']['text_diff'], [ 'layout-test-results/failures/unexpected/no-text-baseline-diff.txt', 'layout-test-results/retry_1/failures/unexpected/no-text-baseline-diff.txt' ]) self.assertEqual(test_results['artifacts']['pretty_text_diff'], [ 'layout-test-results/failures/unexpected/no-text-baseline-pretty-diff.html', 'layout-test-results/retry_1/failures/unexpected/no-text-baseline-pretty-diff.html' ]) self.assertNotIn('overlay', test_results['artifacts']) def test_unexpected_no_text_generated(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-text-generated.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-text-generated.html'] self.assertEqual(test_results['artifacts']['expected_text'], [ 'layout-test-results/failures/unexpected/no-text-generated-expected.txt', 'layout-test-results/retry_1/failures/unexpected/no-text-generated-expected.txt' ]) self.assertNotIn('actual_text', test_results['artifacts']) self.assertEqual(test_results['artifacts']['text_diff'], [ 'layout-test-results/failures/unexpected/no-text-generated-diff.txt', 'layout-test-results/retry_1/failures/unexpected/no-text-generated-diff.txt' ]) self.assertEqual(test_results['artifacts']['pretty_text_diff'], [ 'layout-test-results/failures/unexpected/no-text-generated-pretty-diff.html', 'layout-test-results/retry_1/failures/unexpected/no-text-generated-pretty-diff.html' ]) self.assertNotIn('overlay', test_results['artifacts']) def test_reftest_mismatching_image(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/reftest.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'reftest.html'] self.assertEqual(test_results['artifacts']['actual_image'], [ 'layout-test-results/failures/unexpected/reftest-actual.png', 'layout-test-results/retry_1/failures/unexpected/reftest-actual.png' ]) self.assertEqual(test_results['artifacts']['expected_image'], [ 'layout-test-results/failures/unexpected/reftest-expected.png', 'layout-test-results/retry_1/failures/unexpected/reftest-expected.png' ]) self.assertEqual(test_results['artifacts']['image_diff'], [ 'layout-test-results/failures/unexpected/reftest-diff.png', 'layout-test-results/retry_1/failures/unexpected/reftest-diff.png' ]) self.assertEqual(test_results['artifacts']['pretty_image_diff'], [ 'layout-test-results/failures/unexpected/reftest-diffs.html', 'layout-test-results/retry_1/failures/unexpected/reftest-diffs.html' ]) self.assertEqual(test_results['artifacts']['reference_file_mismatch'], [ 'layout-test-results/failures/unexpected/reftest-expected.html', 'layout-test-results/retry_1/failures/unexpected/reftest-expected.html' ]) def test_reftest_failure_matching_image(self): host = MockHost() details, _, _ = logging_run(['failures/unexpected/mismatch.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'mismatch.html'] self.assertIn('reference_file_match', test_results['artifacts']) self.assertEqual(test_results['artifacts']['reference_file_match'], [ 'layout-test-results/failures/unexpected/mismatch-expected-mismatch.html' ]) def test_unexpected_image_mismatch(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/image-mismatch.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'image-mismatch.html'] self.assertEqual(test_results['artifacts']['actual_image'], [ 'layout-test-results/failures/unexpected/image-mismatch-actual.png', 'layout-test-results/retry_1/failures/unexpected/image-mismatch-actual.png' ]) self.assertEqual(test_results['artifacts']['expected_image'], [ 'layout-test-results/failures/unexpected/image-mismatch-expected.png', 'layout-test-results/retry_1/failures/unexpected/image-mismatch-expected.png' ]) self.assertEqual(test_results['artifacts']['image_diff'], [ 'layout-test-results/failures/unexpected/image-mismatch-diff.png', 'layout-test-results/retry_1/failures/unexpected/image-mismatch-diff.png' ]) self.assertEqual(test_results['artifacts']['pretty_image_diff'], [ 'layout-test-results/failures/unexpected/image-mismatch-diffs.html', 'layout-test-results/retry_1/failures/unexpected/image-mismatch-diffs.html' ]) def test_unexpected_no_image_generated(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-image-generated.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-image-generated.html'] self.assertNotIn('actual_image', test_results['artifacts']) self.assertEqual(test_results['artifacts']['expected_image'], [ 'layout-test-results/failures/unexpected/no-image-generated-expected.png', 'layout-test-results/retry_1/failures/unexpected/no-image-generated-expected.png' ]) self.assertNotIn('image_diff', test_results['artifacts']) self.assertNotIn('pretty_image_diff', test_results['artifacts']) def test_unexpected_no_image_baseline(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-image-baseline.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-image-baseline.html'] self.assertNotIn('expected_image', test_results['artifacts']) self.assertEqual(test_results['artifacts']['actual_image'], [ 'layout-test-results/failures/unexpected/no-image-baseline-actual.png', 'layout-test-results/retry_1/failures/unexpected/no-image-baseline-actual.png' ]) self.assertNotIn('image_diff', test_results['artifacts']) self.assertNotIn('pretty_image_diff', test_results['artifacts']) def test_unexpected_audio_mismatch(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/audio-mismatch.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'audio-mismatch.html'] self.assertEqual(test_results['artifacts']['actual_audio'], [ 'layout-test-results/failures/unexpected/audio-mismatch-actual.wav', 'layout-test-results/retry_1/failures/unexpected/audio-mismatch-actual.wav' ]) self.assertEqual(test_results['artifacts']['expected_audio'], [ 'layout-test-results/failures/unexpected/audio-mismatch-expected.wav', 'layout-test-results/retry_1/failures/unexpected/audio-mismatch-expected.wav' ]) def test_unexpected_audio_missing_baseline(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-audio-baseline.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-audio-baseline.html'] self.assertEqual(test_results['artifacts']['actual_audio'], [ 'layout-test-results/failures/unexpected/no-audio-baseline-actual.wav', 'layout-test-results/retry_1/failures/unexpected/no-audio-baseline-actual.wav' ]) def test_unexpected_no_audio_generated(self): host = MockHost() details, _, _ = logging_run( ['--num-retries=1', 'failures/unexpected/no-audio-generated.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) results = json.loads( host.filesystem.read_text_file( '/tmp/layout-test-results/full_results.json')) test_results = results['tests']['failures']['unexpected'][ 'no-audio-generated.html'] self.assertEqual(test_results['artifacts']['expected_audio'], [ 'layout-test-results/failures/unexpected/no-audio-generated-expected.wav', 'layout-test-results/retry_1/failures/unexpected/no-audio-generated-expected.wav' ]) def test_retrying_uses_retry_directories(self): host = MockHost() details, _, _ = logging_run([ '--num-retries=3', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/failures/unexpected/text-image-checksum-actual.txt' )) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_1/failures/unexpected/text-image-checksum-actual.txt' )) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_2/failures/unexpected/text-image-checksum-actual.txt' )) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/retry_3/failures/unexpected/text-image-checksum-actual.txt' )) def test_retrying_alias_flag(self): host = MockHost() _, err, __ = logging_run([ '--test-launcher-retry-limit=3', 'failures/unexpected/crash.html' ], tests_included=True, host=host) self.assertIn('Retrying', err.getvalue()) def test_clobber_old_results(self): host = MockHost() details, _, _ = logging_run([ '--num-retries=3', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) # See tests above for what files exist at this point. # Now we test that --clobber-old-results does remove the old retries. details, err, _ = logging_run([ '--no-retry-failures', '--clobber-old-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) self.assertEqual(details.exit_code, 1) self.assertTrue('Clobbering old results' in err.getvalue()) self.assertIn('failures/unexpected/text-image-checksum.html', err.getvalue()) self.assertTrue( host.filesystem.exists( '/tmp/layout-test-results/failures/unexpected/text-image-checksum-actual.txt' )) self.assertFalse( host.filesystem.exists('/tmp/layout-test-results/retry_1')) self.assertFalse( host.filesystem.exists('/tmp/layout-test-results/retry_2')) self.assertFalse( host.filesystem.exists('/tmp/layout-test-results/retry_3')) def test_run_order__inline(self): # These next tests test that we run the tests in ascending alphabetical # order per directory. HTTP tests are sharded separately from other tests, # so we have to test both. tests_run = get_tests_run( ['--order', 'natural', '-i', 'passes/virtual_passes', 'passes']) self.assertEqual(tests_run, sorted(tests_run)) tests_run = get_tests_run(['--order', 'natural', 'http/tests/passes']) self.assertEqual(tests_run, sorted(tests_run)) def test_virtual(self): self.assertTrue( passing_run([ '--order', 'natural', 'passes/text.html', 'passes/args.html', 'virtual/passes/text.html', 'virtual/passes/args.html' ])) def test_virtual_warns_when_wildcard_used(self): virtual_test_warning_msg = ( 'WARNING: Wildcards in paths are not supported for ' 'virtual test suites.') run_details, err, _ = logging_run( ['passes/args.html', 'virtual/passes/'], tests_included=True) self.assertEqual( len(run_details.summarized_full_results['tests']['passes'].keys()), 1) self.assertFalse(virtual_test_warning_msg in err.getvalue()) run_details, err, _ = logging_run( ['passes/args.html', 'virtual/passes/*'], tests_included=True) self.assertEqual( len(run_details.summarized_full_results['tests']['passes'].keys()), 1) self.assertTrue(virtual_test_warning_msg in err.getvalue()) def test_reftest_run(self): tests_run = get_tests_run(['passes/reftest.html']) self.assertEqual(['passes/reftest.html'], tests_run) def test_reftest_expected_html_should_be_ignored(self): tests_run = get_tests_run(['passes/reftest-expected.html']) self.assertEqual([], tests_run) def test_reftest_driver_should_run_expected_html(self): tests_run = get_test_results(['passes/reftest.html']) self.assertEqual(tests_run[0].references, ['passes/reftest-expected.html']) def test_reftest_driver_should_run_expected_mismatch_html(self): tests_run = get_test_results(['passes/mismatch.html']) self.assertEqual(tests_run[0].references, ['passes/mismatch-expected-mismatch.html']) def test_reftest_crash(self): test_results = get_test_results( ['failures/unexpected/crash-reftest.html']) # The list of references should be empty since the test crashed and we didn't run any references. self.assertEqual(test_results[0].references, []) def test_reftest_with_virtual_reference(self): _, err, _ = logging_run( ['--details', 'virtual/virtual_passes/passes/reftest.html'], tests_included=True) self.assertTrue( 'ref: virtual/virtual_passes/passes/reftest-expected.html' in err. getvalue()) self.assertTrue( re.search(r'args: --virtual-arg\s*ref:', err.getvalue())) def test_reftest_matching_text_expectation(self): test_name = 'passes/reftest-with-text.html' host = MockHost() run_details, _, _ = logging_run([test_name], tests_included=True, host=host) self.assertEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 0) def test_reftest_mismatching_text_expectation(self): test_name = 'failures/unexpected/reftest-with-mismatching-text.html' host = MockHost() run_details, _, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 1) self.assertEqual(test_result.type, ResultType.Failure) def test_reftest_mismatching_pixel_matching_text(self): test_name = 'failures/unexpected/reftest-with-matching-text.html' host = MockHost() run_details, _, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 1) self.assertEqual(test_result.type, ResultType.Failure) def test_reftest_mismatching_both_text_and_pixel(self): test_name = 'failures/unexpected/reftest.html' host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/reftest-expected.txt', 'mismatch') run_details, _, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 2) self.assertEqual(test_result.type, ResultType.Failure) def test_extra_baselines(self): host = MockHost() extra_txt = test.WEB_TEST_DIR + '/passes/image-expected.txt' host.filesystem.write_text_file(extra_txt, 'Extra txt') extra_wav = test.WEB_TEST_DIR + '/passes/image-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') test_name = 'passes/image.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 2) self.assertTrue( test_failures.has_failure_type( test_failures.FailureTextNotGenerated, test_result.failures)) self.assertTrue( test_failures.has_failure_type( test_failures.FailureAudioNotGenerated, test_result.failures)) self.assert_contains(log_stream, 'Please remove %s' % extra_txt) self.assert_contains(log_stream, 'Please remove %s' % extra_wav) def test_empty_overriding_baselines(self): host = MockHost() base_baseline = test.WEB_TEST_DIR + '/passes/image-expected.txt' host.filesystem.write_text_file(base_baseline, 'Non-empty') platform_baseline = test.WEB_TEST_DIR + '/platform/test-mac-mac10.10/passes/image-expected.txt' host.filesystem.write_text_file(platform_baseline, '') test_name = 'passes/image.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 0) self.assertNotIn('Please remove', log_stream) def test_reftest_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/reftest-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_wav = test.WEB_TEST_DIR + '/passes/reftest-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') test_name = 'passes/reftest.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 1) self.assertTrue( test_failures.has_failure_type( test_failures.FailureAudioNotGenerated, test_result.failures)) # For now extra png baseline is only reported in an error message. self.assert_contains(log_stream, 'Please remove %s' % extra_png) self.assert_contains(log_stream, 'Please remove %s' % extra_wav) def test_reftest_with_text_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/reftest-with-text-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_wav = test.WEB_TEST_DIR + '/passes/reftest-with-text-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') test_name = 'passes/reftest-with-text.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 1) self.assertTrue( test_failures.has_failure_type( test_failures.FailureAudioNotGenerated, test_result.failures)) # For now extra png baseline is only reported in an error message. self.assert_contains(log_stream, 'Please remove %s' % extra_png) self.assert_contains(log_stream, 'Please remove %s' % extra_wav) def test_reftest_extra_png_baseline(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/reftest-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') test_name = 'passes/reftest.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertEqual(run_details.exit_code, 0) # For now extra png baseline is only reported in an error message. self.assert_contains(log_stream, 'Please remove %s' % extra_png) def test_passing_testharness_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/testharness-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_txt = test.WEB_TEST_DIR + '/passes/testharness-expected.txt' host.filesystem.write_text_file( extra_txt, 'This is a testharness.js-based test.\nPASS: bah\nHarness: the test ran to completion.' ) extra_wav = test.WEB_TEST_DIR + '/passes/testharness-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') test_name = 'passes/testharness.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 2) self.assertTrue( test_failures.has_failure_type( test_failures.FailureImageHashNotGenerated, test_result.failures)) self.assertTrue( test_failures.has_failure_type( test_failures.FailureAudioNotGenerated, test_result.failures)) # For now extra txt baseline for all-pass testharness test is only reported in an error message. self.assert_contains(log_stream, 'Please remove %s' % extra_png) self.assert_contains(log_stream, 'Please remove %s' % extra_txt) self.assert_contains(log_stream, 'Please remove %s' % extra_wav) def test_passing_testharness_extra_txt_baseline(self): host = MockHost() extra_txt = test.WEB_TEST_DIR + '/passes/testharness-expected.txt' host.filesystem.write_text_file( extra_txt, 'This is a testharness.js-based test.\nPASS: bah\nHarness: the test ran to completion.' ) test_name = 'passes/testharness.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertEqual(run_details.exit_code, 0) # For now extra txt baseline for all-pass testharness test is only reported in an error message. self.assert_contains(log_stream, 'Please remove %s' % extra_txt) def test_passing_testharness_extra_mismatching_txt_baseline(self): host = MockHost() extra_txt = test.WEB_TEST_DIR + '/passes/testharness-expected.txt' host.filesystem.write_text_file( extra_txt, 'This is a testharness.js-based test.\nFAIL: bah\nHarness: the test ran to completion.' ) test_name = 'passes/testharness.html' run_details, log_stream, _ = logging_run([test_name], tests_included=True, host=host) self.assertNotEqual(run_details.exit_code, 0) self.assertEqual(run_details.initial_results.total, 1) test_result = run_details.initial_results.all_results[0] self.assertEqual(test_result.test_name, test_name) self.assertEqual(len(test_result.failures), 1) self.assertTrue( test_failures.has_failure_type(test_failures.FailureTextMismatch, test_result.failures)) self.assert_contains(log_stream, 'Please remove %s' % extra_txt) def test_passing_testharness_overriding_baseline(self): # An all-pass testharness text baseline is necessary when it overrides a fallback baseline. host = MockHost() # The base baseline expects a failure. base_baseline = test.WEB_TEST_DIR + '/passes/testharness-expected.txt' host.filesystem.write_text_file(base_baseline, 'Failure') platform_baseline = test.WEB_TEST_DIR + '/platform/test-mac-mac10.10/passes/testharness-expected.txt' host.filesystem.write_text_file( platform_baseline, 'This is a testharness.js-based test.\nPASS: bah\nHarness: the test ran to completion.' ) run_details, log_stream, _ = logging_run(['passes/testharness.html'], tests_included=True, host=host) self.assertEqual(run_details.exit_code, 0) self.assertNotIn('Please remove', log_stream.getvalue()) def test_additional_platform_directory(self): self.assertTrue( passing_run([ '--additional-platform-directory', '/tmp/foo', '--order', 'natural' ])) self.assertTrue( passing_run([ '--additional-platform-directory', '/tmp/../foo', '--order', 'natural' ])) self.assertTrue( passing_run([ '--additional-platform-directory', '/tmp/foo', '--additional-platform-directory', '/tmp/bar', '--order', 'natural' ])) self.assertTrue( passing_run([ '--additional-platform-directory', 'foo', '--order', 'natural' ])) def test_additional_expectations(self): host = MockHost() host.filesystem.write_text_file( '/tmp/additional.txt', '# results: [ Failure ]\nfailures/unexpected/mismatch.html [ Failure ]\n' ) self.assertTrue( passing_run([ '--additional-expectations=/tmp/additional.txt', 'failures/unexpected/mismatch.html' ], tests_included=True, host=host)) def test_platform_directories_ignored_when_searching_for_tests(self): tests_run = get_tests_run(['--platform', 'test-mac-mac10.10']) self.assertNotIn('platform/test-mac-mac10.10/http/test.html', tests_run) self.assertNotIn('platform/test-win-win7/http/test.html', tests_run) def test_platform_directories_not_searched_for_additional_tests(self): tests_run = get_tests_run(['--platform', 'test-mac-mac10.10', 'http']) self.assertNotIn('platform/test-mac-mac10.10/http/test.html', tests_run) self.assertNotIn('platform/test-win-win7/http/test.html', tests_run) def test_output_diffs(self): host = MockHost() logging_run(['failures/unexpected/text-image-checksum.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertTrue( any(path.endswith('-diff.txt') for path in written_files.keys())) self.assertTrue( any( path.endswith('-pretty-diff.html') for path in written_files.keys())) self.assertFalse( any(path.endswith('-wdiff.html') for path in written_files)) def test_unsupported_platform(self): stderr = StringIO.StringIO() res = run_web_tests.main(['--platform', 'foo'], stderr) self.assertEqual(res, exit_codes.UNEXPECTED_ERROR_EXIT_STATUS) self.assertTrue('unsupported platform' in stderr.getvalue()) def test_verbose_in_child_processes(self): # When we actually run multiple processes, we may have to reconfigure logging in the # child process (e.g., on win32) and we need to make sure that works and we still # see the verbose log output. However, we can't use logging_run() because using # output_capture to capture stderr latter results in a nonpicklable host. options, parsed_args = parse_args([ '--verbose', '--fully-parallel', '--jobs', '2', 'passes/text.html', 'passes/image.html' ], tests_included=True) host = MockHost() port_obj = host.port_factory.get( port_name=options.platform, options=options) logging_stream = StringIO.StringIO() printer = Printer(host, options, logging_stream) run_web_tests.run(port_obj, options, parsed_args, printer) self.assertTrue('text.html passed' in logging_stream.getvalue()) self.assertTrue('image.html passed' in logging_stream.getvalue()) def disabled_test_driver_logging(self): # FIXME: Figure out how to either use a mock-test port to # get output or mack mock ports work again. host = Host() _, err, _ = logging_run([ '--platform', 'mock-win', '--driver-logging', 'fast/harness/results.html' ], tests_included=True, host=host) self.assertIn('OUT:', err.getvalue()) def _check_json_test_results(self, host, details): self.assertEqual(details.exit_code, 0) self.assertTrue(host.filesystem.exists('/tmp/json_results.json')) json_failing_test_results = host.filesystem.read_text_file( '/tmp/json_results.json') self.assertEqual( json.loads(json_failing_test_results), details.summarized_full_results) def test_json_test_results(self): host = MockHost() details, _, _ = logging_run( ['--json-test-results', '/tmp/json_results.json'], host=host) self._check_json_test_results(host, details) def test_json_test_results_alias_write_full_results_to(self): host = MockHost() details, _, _ = logging_run( ['--write-full-results-to', '/tmp/json_results.json'], host=host) self._check_json_test_results(host, details) def test_json_test_results_alias_isolated_script_test_output(self): host = MockHost() details, _, _ = logging_run( ['--isolated-script-test-output', '/tmp/json_results.json'], host=host) self._check_json_test_results(host, details) def test_json_failing_test_results(self): host = MockHost() details, _, _ = logging_run( ['--json-failing-test-results', '/tmp/json_failing_results.json'], host=host) self.assertEqual(details.exit_code, 0) self.assertTrue( host.filesystem.exists('/tmp/json_failing_results.json')) json_failing_test_results = host.filesystem.read_text_file( '/tmp/json_failing_results.json') self.assertEqual( json.loads(json_failing_test_results), details.summarized_failing_results) def test_no_default_expectations(self): self.assertFalse( passing_run([ '--ignore-default-expectations', 'failures/expected/text.html' ])) class RebaselineTest(unittest.TestCase, StreamTestingMixin): """Tests for flags which cause new baselines to be written. When running web tests, there are several flags which write new baselines. This is separate from the "blink_tool.py rebaseline" commands, which fetch new baselines from elsewhere rather than generating them. """ def assert_baselines(self, written_files, log_stream, expected_file_base, expected_extensions): """Asserts that the written_files contains baselines for one test. Args: written_files: from FileSystem.written_files. log_stream: The log stream from the run. expected_file_base: Relative path to the baseline, without the extension, from the web test directory. expected_extensions: Expected extensions which should be written. """ for ext in expected_extensions: baseline = '%s-expected%s' % (expected_file_base, ext) baseline_full_path = '%s/%s' % (test.WEB_TEST_DIR, baseline) self.assertIsNotNone(written_files.get(baseline_full_path)) baseline_message = 'Writing new baseline "%s"\n' % baseline self.assert_contains(log_stream, baseline_message) # Assert that baselines with other extensions were not written. for ext in ({'.png', '.txt', '.wav'} - set(expected_extensions)): baseline = '%s-expected%s' % (expected_file_base, ext) baseline_full_path = '%s/%s' % (test.WEB_TEST_DIR, baseline) self.assertIsNone(written_files.get(baseline_full_path)) def assert_wpt_manifests_not_written(self, host, written_files): external_manifest = host.filesystem.join(test.WEB_TEST_DIR, 'external/wpt', MANIFEST_NAME) internal_manifest = host.filesystem.join(test.WEB_TEST_DIR, 'wpt_internal', MANIFEST_NAME) self.assertNotIn(external_manifest, written_files) self.assertNotIn(internal_manifest, written_files) def test_reset_results_basic(self): # Test that we update baselines in place when the test fails # (text and image mismatch). host = MockHost() details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files # The run exit code is 0, indicating success; since we're resetting # baselines, it's OK for actual results to not match baselines. self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) self.assert_wpt_manifests_not_written(host, written_files) self.assert_baselines( written_files, log_stream, 'failures/unexpected/text-image-checksum', expected_extensions=['.txt', '.png']) def test_no_baselines_are_written_with_no_reset_results_flag(self): # This test checks that we're *not* writing baselines when we're not # supposed to be (when there's no --reset-results flag). host = MockHost() details, log_stream, _ = logging_run( ['failures/unexpected/text-image-checksum.html'], tests_included=True, host=host) written_files = host.filesystem.written_files # In a normal test run where actual results don't match baselines, the # exit code indicates failure. self.assertEqual(details.exit_code, 1) self.assert_baselines( written_files, log_stream, 'failures/unexpected/text-image-checksum', expected_extensions=[]) def test_reset_results_missing_results(self): # Test that we create new baselines at the generic location for # if we are missing baselines. host = MockHost() details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/missing_text.html', 'failures/unexpected/missing_image.html', 'failures/unexpected/missing_render_tree_dump.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 8) self.assert_baselines(written_files, log_stream, 'failures/unexpected/missing_text', ['.txt']) self.assert_baselines(written_files, log_stream, 'failures/unexpected/missing_image', ['.png']) self.assert_baselines( written_files, log_stream, 'failures/unexpected/missing_render_tree_dump', expected_extensions=['.txt']) def test_reset_results_testharness_no_baseline(self): # Tests that we create new result for a failing testharness test without # baselines, but don't create one for a passing one. host = MockHost() details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/testharness.html', 'passes/testharness.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 6) self.assert_baselines(written_files, log_stream, 'failures/unexpected/testharness', ['.txt']) self.assert_baselines(written_files, log_stream, 'passes/testharness', []) def test_reset_results_testharness_existing_baseline(self): # Tests that we update existing baseline for a testharness test. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/testharness-expected.txt', 'foo') details, log_stream, _ = logging_run( ['--reset-results', 'failures/unexpected/testharness.html'], tests_included=True, host=host) self.assertEqual(details.exit_code, 0) written_files = host.filesystem.written_files self.assertEqual(len(written_files.keys()), 6) self.assert_baselines(written_files, log_stream, 'failures/unexpected/testharness', ['.txt']) def test_reset_results_image_only(self): # Tests that we don't create new text results for an image-only test. host = MockHost() details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/image-only.html', ], tests_included=True, host=host) self.assertEqual(details.exit_code, 0) written_files = host.filesystem.written_files self.assertEqual(len(written_files.keys()), 6) self.assert_baselines(written_files, log_stream, 'failures/unexpected/image-only', ['.png']) def test_copy_baselines(self): # Test that we update the baselines in the version-specific directories # if the new baseline is different from the fallback baseline. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we also # check that the text baseline isn't written if it matches. 'text-image-checksum_fail-txt') details, log_stream, _ = logging_run([ '--copy-baselines', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 1) self.assertEqual(len(written_files.keys()), 11) self.assert_contains( log_stream, 'Copying baseline to "platform/test-mac-mac10.10/failures/unexpected/text-image-checksum-expected.png"' ) self.assert_contains( log_stream, 'Not copying baseline to "platform/test-mac-mac10.10/failures/unexpected/text-image-checksum-expected.txt"' ) def test_reset_results_with_copy_baselines(self): # Test that we update the baselines in the version-specific directories # if the new baseline is different from the fallback baseline. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we also # check that the text baseline isn't written if it matches. 'text-image-checksum_fail-txt') details, log_stream, _ = logging_run([ '--reset-results', '--copy-baselines', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) self.assert_baselines( written_files, log_stream, 'platform/test-mac-mac10.10/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_reset_results_reftest(self): # Test rebaseline of reference tests. # Reference tests don't have baselines, so they should be ignored. host = MockHost() details, log_stream, _ = logging_run( ['--reset-results', 'passes/reftest.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 5) self.assert_baselines( written_files, log_stream, 'passes/reftest', expected_extensions=[]) def test_reset_results_reftest_with_text(self): # In this case, there is a text baseline present; a new baseline is # written even though this is a reference test. host = MockHost() details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/reftest-with-mismatching-text.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 6) self.assert_baselines( written_files, log_stream, 'failures/unexpected/reftest-with-mismatching-text', expected_extensions=['.txt']) def test_reset_results_remove_extra_baselines(self): host = MockHost() extra_txt = test.WEB_TEST_DIR + '/failures/unexpected/image-only-expected.txt' host.filesystem.write_text_file(extra_txt, 'Extra txt') extra_wav = test.WEB_TEST_DIR + '/failures/unexpected/image-only-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') details, log_stream, _ = logging_run( ['--reset-results', 'failures/unexpected/image-only.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 8) self.assertIsNone(written_files[extra_txt]) self.assertIsNone(written_files[extra_wav]) self.assert_baselines( written_files, log_stream, 'failures/unexpected/image-only', expected_extensions=['.png']) def test_reset_results_reftest_remove_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/reftest-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_wav = test.WEB_TEST_DIR + '/passes/reftest-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') extra_txt = test.WEB_TEST_DIR + '/passes/reftest-expected.txt' host.filesystem.write_text_file(extra_txt, 'reftest') details, _, _ = logging_run(['--reset-results', 'passes/reftest.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 8) self.assertIsNone(written_files[extra_png]) self.assertIsNone(written_files[extra_wav]) self.assertIsNone(written_files[extra_txt]) def test_reset_results_reftest_with_text_remove_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/reftest-with-text-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_wav = test.WEB_TEST_DIR + '/passes/reftest-with-text-expected.wav' host.filesystem.write_text_file(extra_wav, 'Extra wav') details, _, _ = logging_run( ['--reset-results', 'passes/reftest-with-text.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) self.assertIsNone(written_files[extra_png]) self.assertIsNone(written_files[extra_wav]) self.assertNotIn( test.WEB_TEST_DIR + '/passes/reftest-with-text-expected.txt', written_files) def test_reset_results_passing_testharness_remove_extra_baselines(self): host = MockHost() extra_png = test.WEB_TEST_DIR + '/passes/testharness-expected.png' host.filesystem.write_text_file(extra_png, 'Extra png') extra_txt = test.WEB_TEST_DIR + '/passes/testharness-expected.txt' host.filesystem.write_text_file(extra_txt, 'Extra txt') details, log_stream, _ = logging_run( ['--reset-results', 'passes/testharness.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) self.assertIsNone(written_files[extra_png]) self.assertIsNone(written_files[extra_txt]) self.assert_baselines( written_files, log_stream, 'passes/testharness', expected_extensions=[]) def test_reset_results_failing_testharness(self): host = MockHost() details, log_stream, _ = logging_run( ['--reset-results', 'failures/unexpected/testharness.html'], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 6) self.assert_baselines( written_files, log_stream, 'failures/unexpected/testharness', expected_extensions=['.txt']) def test_new_flag_specific_baseline(self): # Test writing new baselines under flag-specific directory if the actual # results are different from the current baselines. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we also # check that the text baseline isn't written if it matches. 'text-image-checksum_fail-txt') details, log_stream, _ = logging_run([ '--additional-driver-flag=--flag', '--reset-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) # We should create new image baseline only. self.assert_baselines( written_files, log_stream, 'flag-specific/flag/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_copy_flag_specific_baseline(self): # Test writing new baselines under flag-specific directory if the actual # results are different from the current baselines. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we also # check that the text baseline isn't written if it matches. 'text-image-checksum_fail-txt') details, log_stream, _ = logging_run([ '--additional-driver-flag=--flag', '--copy-baselines', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 1) self.assertEqual(len(written_files.keys()), 11) self.assert_contains( log_stream, 'Copying baseline to "flag-specific/flag/failures/unexpected/text-image-checksum-expected.png"' ) self.assert_contains( log_stream, 'Not copying baseline to "flag-specific/flag/failures/unexpected/text-image-checksum-expected.txt"' ) def test_new_flag_specific_baseline_optimize(self): # Test removing existing baselines under flag-specific directory if the # actual results are the same as the fallback baselines. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we check # that the flag-specific text baseline is removed if the actual # result is the same as this fallback baseline. 'text-image-checksum_fail-txt') flag_specific_baseline_txt = ( test.WEB_TEST_DIR + '/flag-specific/flag/failures/unexpected/text-image-checksum-expected.txt' ) host.filesystem.write_text_file( flag_specific_baseline_txt, 'existing-baseline-different-from-fallback') details, log_stream, _ = logging_run([ '--additional-driver-flag=--flag', '--reset-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) self.assertEqual(details.exit_code, 0) self.assertFalse(host.filesystem.exists(flag_specific_baseline_txt)) written_files = host.filesystem.written_files self.assertEqual(len(written_files.keys()), 8) # We should create new image baseline only. self.assert_baselines( written_files, log_stream, 'flag-specific/flag/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_new_virtual_baseline(self): # Test writing new baselines under virtual test directory if the actual # results are different from the current baselines. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we also # check that the text baseline isn't written if it matches. 'text-image-checksum_fail-txt') details, log_stream, _ = logging_run([ '--reset-results', 'virtual/virtual_failures/failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) # We should create new image baseline only. self.assert_baselines( written_files, log_stream, 'virtual/virtual_failures/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_new_platform_baseline_with_fallback(self): # Test that we update the existing baseline in the platform-specific # directory if the new baseline is different, with existing fallback # baseline (which should not matter). host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/platform/test-mac-mac10.10/failures/unexpected/text-image-checksum-expected.png', 'wrong-png-baseline') details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 7) # We should reset the platform image baseline. self.assert_baselines( written_files, log_stream, 'platform/test-mac-mac10.10/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_new_platform_baseline_without_fallback(self): # Test that we update the existing baseline in the platform-specific # directory if the new baseline is different, without existing fallback # baseline (which should not matter). host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/platform/test-mac-mac10.10/failures/unexpected/text-image-checksum-expected.png', 'wrong-png-baseline') host.filesystem.remove( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.png') details, log_stream, _ = logging_run([ '--reset-results', 'failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) written_files = host.filesystem.written_files self.assertEqual(details.exit_code, 0) self.assertEqual(len(written_files.keys()), 8) # We should reset the platform image baseline. self.assert_baselines( written_files, log_stream, 'platform/test-mac-mac10.10/failures/unexpected/text-image-checksum', expected_extensions=['.png']) def test_new_virtual_baseline_optimize(self): # Test removing existing baselines under flag-specific directory if the # actual results are the same as the fallback baselines. host = MockHost() host.filesystem.write_text_file( test.WEB_TEST_DIR + '/failures/unexpected/text-image-checksum-expected.txt', # This value is the same as actual text result of the test defined # in blinkpy.web_tests.port.test. This is added so that we check # that the flag-specific text baseline is removed if the actual # result is the same as this fallback baseline. 'text-image-checksum_fail-txt') virtual_baseline_txt = ( test.WEB_TEST_DIR + '/virtual/virtual_failures/failures/unexpected/text-image-checksum-expected.txt' ) host.filesystem.write_text_file( virtual_baseline_txt, 'existing-baseline-different-from-fallback') details, log_stream, _ = logging_run([ '--reset-results', 'virtual/virtual_failures/failures/unexpected/text-image-checksum.html' ], tests_included=True, host=host) self.assertEqual(details.exit_code, 0) self.assertFalse(host.filesystem.exists(virtual_baseline_txt)) written_files = host.filesystem.written_files self.assertEqual(len(written_files.keys()), 8) self.assert_wpt_manifests_not_written(host, written_files) # We should create new image baseline only. self.assert_baselines( written_files, log_stream, 'virtual/virtual_failures/failures/unexpected/text-image-checksum', expected_extensions=['.png']) class MainTest(unittest.TestCase): def test_exception_handling(self): orig_run_fn = run_web_tests.run # pylint: disable=unused-argument def interrupting_run(port, options, args, printer): raise KeyboardInterrupt def successful_run(port, options, args, printer): class FakeRunDetails(object): exit_code = exit_codes.UNEXPECTED_ERROR_EXIT_STATUS return FakeRunDetails() def exception_raising_run(port, options, args, printer): assert False stderr = StringIO.StringIO() try: run_web_tests.run = interrupting_run res = run_web_tests.main([], stderr) self.assertEqual(res, exit_codes.INTERRUPTED_EXIT_STATUS) run_web_tests.run = successful_run res = run_web_tests.main(['--platform', 'test'], stderr) self.assertEqual(res, exit_codes.UNEXPECTED_ERROR_EXIT_STATUS) run_web_tests.run = exception_raising_run res = run_web_tests.main([], stderr) self.assertEqual(res, exit_codes.UNEXPECTED_ERROR_EXIT_STATUS) finally: run_web_tests.run = orig_run_fn

45.647873

119

0.608193

14,658

131,968

5.261495

0.052258

0.051736

0.028656

0.023145

0.801149

0.762068

0.72138

0.679888

0.655343

0.620826

0

0.004102

0.279613

131,968

2,890

120

45.663668

0.807138

0.091121

0

0.64147

0

0.004957

0.254022

0.157489

0

0.000346

0.192069

1

0.06898

false

0.096241

0.008674

0

0.083437

0.005783

0

null

0

1

0

1

0

null

0

1

0

5

8acf6eddff13fbf4e31ca06b151c2a870e82bb0d

182

py

Python

mirumon/domain/core/enums.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

19

2020-01-25T22:52:09.000Z

2022-03-20T13:45:10.000Z

mirumon/domain/core/enums.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

15

2019-10-07T18:18:40.000Z

2020-10-17T15:47:39.000Z

mirumon/domain/core/enums.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

1

2020-01-20T14:16:29.000Z

from enum import Enum class StrEnum(str, Enum): # noqa: WPS600 """Base class for string enums.""" def __str__(self) -> str: # pragma: no cover return self.value

20.222222

49

0.631868

25

182

4.44

0.76

0

0.022059

0.252747

182

8

50

22.75

0.794118

0.324176

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

76d5fb09d13781af9af2086eb80bdbacfe49c036

1,808

py

Python

server/models.py

ncvescera/D.D_Mega_Du2

dcf1faa1bba900d90f7fdefe3eb1d93f1ca7d149

[ "Apache-2.0" ]

null

server/models.py

ncvescera/D.D_Mega_Du2

dcf1faa1bba900d90f7fdefe3eb1d93f1ca7d149

[ "Apache-2.0" ]

10

2021-07-14T13:37:42.000Z

2021-07-18T08:08:39.000Z

server/models.py

ncvescera/D.D_Mega_Du2

dcf1faa1bba900d90f7fdefe3eb1d93f1ca7d149

[ "Apache-2.0" ]

null

from app import db class Serie(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) nome = db.Column(db.String(80), nullable=False, unique=True) descrizione = db.Column(db.Text) tag = db.Column(db.String(80)) def as_dict(self): return { 'id': self.id, 'nome': str(self.nome), 'descrizione': str(self.descrizione), 'tag': str(self.tag) } class Stagione(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) nome = db.Column(db.String(80), nullable=False) descrizione = db.Column(db.Text) tag = db.Column(db.String(80)) serie_id = db.Column(db.Integer, db.ForeignKey('serie.id'), nullable=False) __table_args__ = (db.UniqueConstraint('nome', 'serie_id', name='_stagione_uc_'),) def as_dict(self): return { 'id': self.id, 'nome': str(self.nome), 'descrizione': str(self.descrizione), 'tag': str(self.tag), 'serie_id': self.serie_id } class Episodio(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) nome = db.Column(db.String(80), nullable=False) descrizione = db.Column(db.Text) tag = db.Column(db.String(80)) path = db.Column(db.String(100), unique=True ,nullable=False) stagione_id = db.Column(db.Integer, db.ForeignKey('stagione.id'), nullable=False) __table_args__ = (db.UniqueConstraint('nome', 'stagione_id', name='_episodio_uc'),) def as_dict(self): return { 'id': self.id, 'nome': str(self.nome), 'descrizione': str(self.descrizione), 'tag': str(self.tag), 'path': str(self.path), 'stagione_id': self.stagione_id }

33.481481

87

0.599558

233

1,808

4.527897

0.167382

0.113744

0.14218

0.106161

0.781043

0.722275

0.635071

0

0.010981

0.244469

1,808

54

88

33.481481

0.761347

0

0.622222

0

0.08513

0

1

0.066667

false

0

0.022222

0.066667

0.6

0

null

0

1

0

1

0

null

0

1

0

5

76fe286440caa294d1e4964c0e6755c0ace4ebc3

202

py

Python

v2_processing/structures/blocks/__init__.py

CN-TU/ntarc-spec

c92bc98d7affa46ce9cc66b4e2aab220bb584bf8

[ "MIT" ]

null

v2_processing/structures/blocks/__init__.py

CN-TU/ntarc-spec

c92bc98d7affa46ce9cc66b4e2aab220bb584bf8

[ "MIT" ]

15

2018-02-15T21:18:33.000Z

2018-11-28T13:13:52.000Z

v2_processing/structures/blocks/__init__.py

CN-TU/ntarc-spec

c92bc98d7affa46ce9cc66b4e2aab220bb584bf8

[ "MIT" ]

1

2022-01-07T16:23:50.000Z

from .reference import Reference from .data import Data from .preprocessing import Preprocessing from .analysis_method import AnalysisMethod from .evaluation import Evaluation from .result import Result

33.666667

43

0.856436

25

202

6.88

0.4

0

0.113861

202

6

44

33.666667

0.960894

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0a0fdb8535c4691473cb03f332f71630e68044f2

62

py

Python

honeygrove/geoip/__init__.py

ekaxis/honeygrove

15009edbc39c83bac4585441fc0ac09c86d1de46

[ "MIT" ]

1

2020-09-09T15:34:44.000Z

honeygrove/geoip/__init__.py

ekaxis/honeygrove

15009edbc39c83bac4585441fc0ac09c86d1de46

[ "MIT" ]

null

honeygrove/geoip/__init__.py

ekaxis/honeygrove

15009edbc39c83bac4585441fc0ac09c86d1de46

[ "MIT" ]

null

from .geoip import geoip from .geolocation import Geolocation

20.666667

36

0.83871

8

62

6.5

0.5

0

0.129032

62

2

37

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0a103260606cbef76212b7d9d473067eb63824c8

879

py

Python

service1frontend/tests/test_frontend.py

dkthecoder/Cards-Against-Humanity-Docker-Containers

d907655389746c2a128828a5d66b98cdd367edb3

[ "Unlicense" ]

null

service1frontend/tests/test_frontend.py

dkthecoder/Cards-Against-Humanity-Docker-Containers

d907655389746c2a128828a5d66b98cdd367edb3

[ "Unlicense" ]

null

service1frontend/tests/test_frontend.py

dkthecoder/Cards-Against-Humanity-Docker-Containers

d907655389746c2a128828a5d66b98cdd367edb3

[ "Unlicense" ]

null

from app import app from flask import url_for from flask_testing import TestCase import pytest class TestBase(TestCase): def create_app(self): return app def test_home_repsonce(self): response = self.client.get(url_for('index')) self.assertEqual(response.status_code, 200) def test_play_repsonce(self): response = self.client.get(url_for('play')) self.assertEqual(response.status_code, 200) def test_home_repsonce(self): response = self.client.get(url_for('rules')) self.assertEqual(response.status_code, 200) def test_home_repsonce(self): response = self.client.get(url_for('black_cards')) self.assertEqual(response.status_code, 200) def test_home_repsonce(self): response = self.client.get(url_for('white_cards')) self.assertEqual(response.status_code, 200)

29.3

58

0.698521

117

879

5.034188

0.264957

0.061121

0.169779

0.203735

0.740238

0.662139

0.52292

0

0.021277

0.197952

879

29

59

30.310345

0.814184

0

0.409091

0

0.040956

0

0.227273

1

0.272727

false

0

0.181818

0.045455

0.545455

0

null

0

1

0

1

0

null

0

1

0

1

0

5

0a21fc4aec4e1b2e16ef512d63d0063db839faf3

65

py

Python

heppy/modules/contact_hm.py

hiqdev/epypy

364fdcc0bef96e079e10b8bae7173e14da28da37

[ "BSD-3-Clause" ]

20

2016-06-02T20:29:29.000Z

2022-01-31T07:47:02.000Z

heppy/modules/contact_hm.py

hiqdev/epypy

364fdcc0bef96e079e10b8bae7173e14da28da37

[ "BSD-3-Clause" ]

1

2018-10-09T16:09:24.000Z

2018-10-10T08:17:42.000Z

heppy/modules/contact_hm.py

hiqdev/epypy

364fdcc0bef96e079e10b8bae7173e14da28da37

[ "BSD-3-Clause" ]

7

2018-04-11T16:05:06.000Z

2020-01-28T16:30:40.000Z

from contact import contact class contact_hm(contact): pass

13

27

0.769231

9

65

5.444444

0.666667

0

0.184615

65

4

28

16.25

0.924528

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

0a2bbb224cfe4e6195fa9e7de8e91b01b2b7e281

13

py

Python

mock/five.py

kevinghst/UDA_sup

c970622370d5de6b8c48b458cb8b4fe59e37effb

[ "Apache-2.0" ]

null

mock/five.py

kevinghst/UDA_sup

c970622370d5de6b8c48b458cb8b4fe59e37effb

[ "Apache-2.0" ]

null

mock/five.py

kevinghst/UDA_sup

c970622370d5de6b8c48b458cb8b4fe59e37effb

[ "Apache-2.0" ]

null

print("five")

13

0.692308

2

13

4.5

1

0

13

1

13

0.692308

0

0.285714

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0a52934c9f88c97c13ae08bc692192ad1128002a

99

py

Python

elementary/nearest_value.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

elementary/nearest_value.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

elementary/nearest_value.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

def nearest_value(values: set, one: int) -> int: return min((abs(n-one), n) for n in values)[1]

49.5

50

0.646465

19

99

3.315789

0.736842

0

0.012195

0.171717

99

2

50

49.5

0.756098

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6a5f0979a22599e6a4bf9b91cb8bb383a94dd72f

28,857

py

Python

trainer.py

yuangan/A2L

8cbc9b5f368924c8c75cbab53e9bb10dcf265c7e

[ "MIT" ]

null

trainer.py

yuangan/A2L

8cbc9b5f368924c8c75cbab53e9bb10dcf265c7e

[ "MIT" ]

null

trainer.py

yuangan/A2L

8cbc9b5f368924c8c75cbab53e9bb10dcf265c7e

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import os.path as osp import sys import time from collections import defaultdict import numpy as np import torch from torch import nn from PIL import Image from tqdm import tqdm from losses import compute_pcalmk_d_loss, compute_pcalmk_g_loss, compute_lmk_g_loss, compute_lmk_d_loss from functions import cv_draw_landmark_pca import imageio import logging logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) class Trainer(object): def __init__(self, args, model=None, model_ema=None, model_mot = None, optimizer1=None, optimizer2=None, scheduler=None, config={}, device=torch.device("cpu"), logger=logger, train_dataloader=None, val_dataloader=None, initial_steps=0, initial_epochs=0, fp16_run=False ): self.args = args #print(args.prefix) self.steps = initial_steps self.epochs = initial_epochs self.model = model self.model_ema = model_ema self.model_mot = model_mot self.optimizer1 = optimizer1 self.optimizer2 = optimizer2 self.scheduler = scheduler self.train_dataloader = train_dataloader self.val_dataloader = val_dataloader self.config = config self.device = device self.finish_train = False self.logger = logger self.fp16_run = fp16_run self.mean_mead = torch.from_numpy(np.load('./PCA/mean_mead.npy').astype(np.float32)).cuda() self.U = torch.from_numpy(np.load('./PCA/U_mead.npy').astype(np.float32))[:,:32].cuda() def _train_epoch(self): """Train model one epoch.""" raise NotImplementedError @torch.no_grad() def _eval_epoch(self): """Evaluate model one epoch.""" pass def save_checkpoint(self, checkpoint_path): """Save checkpoint. Args: checkpoint_path (str): Checkpoint path to be saved. """ state_dict = { "optimizer1": self.optimizer1.state_dict(), "optimizer2": self.optimizer2.state_dict(), "schedulers1": {}, "schedulers2": {}, "steps": self.steps, "epochs": self.epochs, "model": {key: self.model[key].state_dict() for key in self.model} } for s in self.optimizer1.schedulers: state_dict['schedulers1'][s] = self.optimizer1.schedulers[s].state_dict() for s in self.optimizer2.schedulers: state_dict['schedulers1'][s] = self.optimizer2.schedulers[s].state_dict() # state_dict['schedulers'].append(s.state_dict()) if self.model_ema is not None: state_dict['model_ema'] = {key: self.model_ema[key].state_dict() for key in self.model_ema} if self.model_mot is not None: state_dict['model_mot'] = {key: self.model_mot[key].state_dict() for key in self.model_mot} if not os.path.exists(os.path.dirname(checkpoint_path)): os.makedirs(os.path.dirname(checkpoint_path)) torch.save(state_dict, checkpoint_path) def load_checkpoint(self, checkpoint_path, load_only_params=False): """Load checkpoint. Args: checkpoint_path (str): Checkpoint path to be loaded. load_only_params (bool): Whether to load only model parameters. """ state_dict = torch.load(checkpoint_path, map_location="cpu") for key in self.model: self._load(state_dict["model"][key], self.model[key]) if self.model_ema is not None: for key in self.model_ema: self._load(state_dict["model_ema"][key], self.model_ema[key]) if 'model_mot' in state_dict.keys(): print('trainer 100: load model_mot') for key in self.model_mot: self._load(state_dict["model_mot"][key], self.model_mot[key]) if not load_only_params: self.steps = state_dict["steps"] self.epochs = state_dict["epochs"] self.optimizer1.load_state_dict(state_dict["optimizer1"]) self.optimizer2.load_state_dict(state_dict["optimizer2"]) if 'schedulers1' in state_dict.keys(): for key in state_dict['schedulers1']: self.optimizer1.schedulers[key].load_state_dict(state_dict['schedulers1'][key]) for key in state_dict['schedulers2']: self.optimizer2.schedulers[key].load_state_dict(state_dict['schedulers2'][key]) def _load(self, states, model, force_load=True): model_states = model.state_dict() for key, val in states.items(): try: if key not in model_states: continue if isinstance(val, nn.Parameter): val = val.data if val.shape != model_states[key].shape: self.logger.info("%s does not have same shape" % key) print(val.shape, model_states[key].shape) if not force_load: continue min_shape = np.minimum(np.array(val.shape), np.array(model_states[key].shape)) slices = [slice(0, min_index) for min_index in min_shape] model_states[key][slices].copy_(val[slices]) else: model_states[key].copy_(val) except: self.logger.info("not exist :%s" % key) print("not exist ", key) @staticmethod def get_gradient_norm(model): total_norm = 0 for p in model.parameters(): param_norm = p.grad.data.norm(2) total_norm += param_norm.item() ** 2 total_norm = np.sqrt(total_norm) return total_norm @staticmethod def length_to_mask(lengths): mask = torch.arange(lengths.max()).unsqueeze(0).expand(lengths.shape[0], -1).type_as(lengths) mask = torch.gt(mask+1, lengths.unsqueeze(1)) return mask def _get_lr(self): for param_group in self.optimizer1.param_groups: # [print(v.param_groups[0]['lr']) for v in self.optimizer1.optimizer1s.values()] lr = param_group['lr'] break # print(lr) # assert(0) return lr @staticmethod def moving_average(model, model_test, beta=0.999): for param, param_test in zip(model.parameters(), model_test.parameters()): param_test.data = torch.lerp(param.data, param_test.data, beta) # def _train_epoch(self): # self.epochs += 1 # train_losses = defaultdict(list) # _ = [self.model[k].train() for k in self.model] # scaler = torch.cuda.amp.GradScaler() if (('cuda' in str(self.device)) and self.fp16_run) else None # use_con_reg = (self.epochs >= self.args.con_reg_epoch) # use_adv_cls = (self.epochs >= self.args.adv_cls_epoch) # for train_steps_per_epoch, batch in enumerate(tqdm(self.train_dataloader, desc="[train]"), 1): # ### load data # batch = [b.to(self.device) for b in batch] # x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2, inits, mots = batch # # train the discriminator (by random reference) # self.optimizer1.zero_grad() # if scaler is not None: # with torch.cuda.amp.autocast(): # d_loss, d_losses_latent = compute_d_loss(self.model, self.args.d_loss, x_real, y_org, y_trg, z_trg=z_trg, use_adv_cls=use_adv_cls, use_con_reg=use_con_reg) # scaler.scale(d_loss).backward() # else: # d_loss, d_losses_latent = compute_d_loss(self.model, self.args.d_loss, x_real, y_org, y_trg, z_trg=z_trg, use_adv_cls=use_adv_cls, use_con_reg=use_con_reg) # d_loss.backward() # self.optimizer1.step('discriminator', scaler=scaler) # # train the discriminator (by target reference) # self.optimizer1.zero_grad() # if scaler is not None: # with torch.cuda.amp.autocast(): # d_loss, d_losses_ref = compute_d_loss(self.model, self.args.d_loss, x_real, y_org, y_trg, x_ref=x_ref, use_adv_cls=use_adv_cls, use_con_reg=use_con_reg) # scaler.scale(d_loss).backward() # else: # d_loss, d_losses_ref = compute_d_loss(self.model, self.args.d_loss, x_real, y_org, y_trg, x_ref=x_ref, use_adv_cls=use_adv_cls, use_con_reg=use_con_reg) # d_loss.backward() # self.optimizer1.step('discriminator', scaler=scaler) # # train the generator (by random reference) # self.optimizer1.zero_grad() # if scaler is not None: # with torch.cuda.amp.autocast(): # g_loss, g_losses_latent = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv_cls=use_adv_cls) # scaler.scale(g_loss).backward() # else: # g_loss, g_losses_latent = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv_cls=use_adv_cls) # g_loss.backward() # self.optimizer1.step('generator', scaler=scaler) # self.optimizer1.step('mapping_network', scaler=scaler) # self.optimizer1.step('style_encoder', scaler=scaler) # # train the generator (by target reference) # self.optimizer1.zero_grad() # if scaler is not None: # with torch.cuda.amp.autocast(): # g_loss, g_losses_ref = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv_cls=use_adv_cls) # scaler.scale(g_loss).backward() # else: # g_loss, g_losses_ref = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv_cls=use_adv_cls) # g_loss.backward() # self.optimizer1.step('generator', scaler=scaler) # # compute moving average of network parameters # self.moving_average(self.model.generator, self.model_ema.generator, beta=0.999) # self.moving_average(self.model.mapping_network, self.model_ema.mapping_network, beta=0.999) # self.moving_average(self.model.style_encoder, self.model_ema.style_encoder, beta=0.999) # self.optimizer1.scheduler() # for key in d_losses_latent: # train_losses["train/%s" % key].append(d_losses_latent[key]) # for key in g_losses_latent: # train_losses["train/%s" % key].append(g_losses_latent[key]) # train_losses = {key: np.mean(value) for key, value in train_losses.items()} # return train_losses # @torch.no_grad() # def _eval_epoch(self): # use_adv_cls = (self.epochs >= self.args.adv_cls_epoch) # eval_losses = defaultdict(list) # eval_images = defaultdict(list) # _ = [self.model[k].eval() for k in self.model] # for eval_steps_per_epoch, batch in enumerate(tqdm(self.val_dataloader, desc="[eval]"), 1): # ### load data # batch = [b.to(self.device) for b in batch] # x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2 = batch # # train the discriminator # d_loss, d_losses_latent = compute_d_loss( # self.model, self.args.d_loss, x_real, y_org, y_trg, z_trg=z_trg, use_r1_reg=False, use_adv_cls=use_adv_cls) # d_loss, d_losses_ref = compute_d_loss( # self.model, self.args.d_loss, x_real, y_org, y_trg, x_ref=x_ref, use_r1_reg=False, use_adv_cls=use_adv_cls) # # train the generator # g_loss, g_losses_latent = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv_cls=use_adv_cls) # g_loss, g_losses_ref = compute_g_loss( # self.model, self.args.g_loss, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv_cls=use_adv_cls) # for key in d_losses_latent: # eval_losses["eval/%s" % key].append(d_losses_latent[key]) # for key in g_losses_latent: # eval_losses["eval/%s" % key].append(g_losses_latent[key]) # # if eval_steps_per_epoch % 10 == 0: # # # generate x_fake # # s_trg = self.model_ema.style_encoder(x_ref, y_trg) # # F0 = self.model.f0_model.get_feature_GAN(x_real) # # x_fake = self.model_ema.generator(x_real, s_trg, masks=None, F0=F0) # # # generate x_recon # # s_real = self.model_ema.style_encoder(x_real, y_org) # # F0_fake = self.model.f0_model.get_feature_GAN(x_fake) # # x_recon = self.model_ema.generator(x_fake, s_real, masks=None, F0=F0_fake) # # eval_images['eval/image'].append( # # ([x_real[0, 0].cpu().numpy(), # # x_fake[0, 0].cpu().numpy(), # # x_recon[0, 0].cpu().numpy()])) # eval_losses = {key: np.mean(value) for key, value in eval_losses.items()} # eval_losses.update(eval_images) # return eval_losses def _train_lmk_epoch(self): self.epochs += 1 train_losses = defaultdict(list) _ = [self.model[k].train() for k in self.model] scaler = torch.cuda.amp.GradScaler() if (('cuda' in str(self.device)) and self.fp16_run) else None use_adv_cls = (self.epochs >= 1501) use_adv = (self.epochs >=251) for train_steps_per_epoch, batch in enumerate(tqdm(self.train_dataloader, desc="[train]"), 1): ### load data batch = [b.to(self.device) for b in batch] x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2, inits, mots, length_mots, input_lmks = batch if use_adv: # train the discriminator (by random reference) self.optimizer1.zero_grad() self.optimizer2.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): d_loss, lmk_d_losses_latent = compute_lmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg) scaler.scale(d_loss).backward() else: d_loss, lmk_d_losses_latent = compute_lmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg) d_loss.backward() self.optimizer1.step('discriminator_mot', scaler=scaler) # train the discriminator (by random reference) self.optimizer1.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): d_loss, lmk_d_losses_latent = compute_lmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_ref=x_ref) scaler.scale(d_loss).backward() else: d_loss, lmk_d_losses_latent = compute_lmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_ref=x_ref) d_loss.backward() self.optimizer1.step('discriminator_mot', scaler=scaler) # train the generator (by target reference) self.optimizer1.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): lmk_loss, lmk_losses_latent = compute_lmk_g_loss( self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv=use_adv) scaler.scale(lmk_loss).backward() else: lmk_loss, lmk_losses_latent = compute_lmk_g_loss( self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv=use_adv) lmk_loss.backward() self.optimizer1.step('lmk_encoder', scaler=scaler) self.optimizer1.step('mot_decoder', scaler=scaler) # train the discriminator (by self reference) self.optimizer1.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): lmk_loss, lmk_g_losses_latent = compute_lmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv) scaler.scale(lmk_loss).backward() else: lmk_loss, lmk_g_losses_latent = compute_lmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv) lmk_loss.backward() self.optimizer1.step('lmk_encoder', scaler=scaler) self.optimizer1.step('mot_decoder', scaler=scaler) # compute moving average of network parameters self.optimizer1.scheduler() if use_adv: for key in lmk_d_losses_latent: train_losses["train/%s" % key].append(lmk_d_losses_latent[key]) for key in lmk_g_losses_latent: train_losses["train/%s" % key].append(lmk_g_losses_latent[key]) train_losses = {key: np.mean(value) for key, value in train_losses.items()} return train_losses @torch.no_grad() def _eval_lmk_epoch(self): eval_losses = defaultdict(list) eval_images = defaultdict(list) _ = [self.model[k].eval() for k in self.model] use_adv = (self.epochs >=251) for eval_steps_per_epoch, batch in enumerate(tqdm(self.val_dataloader, desc="[eval]"), 1): ### load data batch = [b.to(self.device) for b in batch] x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2, inits, mots, length_mots, input_lmks= batch # eval the discriminator d_loss, lmk_d_losses_latent = compute_lmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg) # eval the generator lmk_loss, lmk_g_losses_latent = compute_lmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv) for key in lmk_d_losses_latent: eval_losses["eval/%s" % key].append(lmk_d_losses_latent[key]) for key in lmk_g_losses_latent: eval_losses["eval/%s" % key].append(lmk_g_losses_latent[key]) # if eval_steps_per_epoch % 10 == 0: # # generate x_fake # s_trg = self.model_ema.style_encoder(x_ref, y_trg) # F0 = self.model.f0_model.get_feature_GAN(x_real) # x_fake = self.model_ema.generator(x_real, s_trg, masks=None, F0=F0) # # generate x_recon # s_real = self.model_ema.style_encoder(x_real, y_org) # F0_fake = self.model.f0_model.get_feature_GAN(x_fake) # x_recon = self.model_ema.generator(x_fake, s_real, masks=None, F0=F0_fake) # eval_images['eval/image'].append( # ([x_real[0, 0].cpu().numpy(), # x_fake[0, 0].cpu().numpy(), # x_recon[0, 0].cpu().numpy()])) eval_losses = {key: np.mean(value) for key, value in eval_losses.items()} eval_losses.update(eval_images) return eval_losses def _train_lmk_pca_epoch(self): self.epochs += 1 train_losses = defaultdict(list) _ = [self.model[k].train() for k in self.model] scaler = torch.cuda.amp.GradScaler() if (('cuda' in str(self.device)) and self.fp16_run) else None use_adv_cls = (self.epochs >= self.args.use_adv_cls_epoch) use_adv = (self.epochs >=self.args.use_adv_epoch) for train_steps_per_epoch, batch in enumerate(tqdm(self.train_dataloader, desc="[train]"), 1): ### load data batch = [b.to(self.device) for b in batch] x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2, inits, mots, length_mots, input_lmks = batch if use_adv: # train the discriminator (by random reference) self.optimizer1.zero_grad() self.optimizer2.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): d_loss, lmk_d_losses_latent = compute_pcalmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg, use_adv_cls=use_adv_cls) scaler.scale(d_loss).backward() else: d_loss, lmk_d_losses_latent = compute_pcalmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg, use_adv_cls=use_adv_cls) d_loss.backward() self.optimizer1.step('discriminator_mot', scaler=scaler) # train the discriminator (by random reference) self.optimizer1.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): d_loss, lmk_d_losses_latent = compute_pcalmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_ref=x_ref, use_adv_cls=use_adv_cls) scaler.scale(d_loss).backward() else: d_loss, lmk_d_losses_latent = compute_pcalmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_ref=x_ref, use_adv_cls=use_adv_cls) d_loss.backward() self.optimizer1.step('discriminator_mot', scaler=scaler) # train the generator (by target reference) self.optimizer1.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): lmk_loss, lmk_losses_latent = compute_pcalmk_g_loss( self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv=use_adv) scaler.scale(lmk_loss).backward() else: lmk_loss, lmk_losses_latent = compute_pcalmk_g_loss( self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, x_refs=[x_ref, x_ref2], use_adv=use_adv) lmk_loss.backward() self.optimizer1.step('lmk_encoder', scaler=scaler) self.optimizer1.step('mot_decoder', scaler=scaler) self.optimizer2.step('generator', scaler=scaler) self.optimizer2.step('mapping_network', scaler=scaler) self.optimizer2.step('style_encoder', scaler=scaler) # train the discriminator (by self reference) self.optimizer1.zero_grad() self.optimizer2.zero_grad() if scaler is not None: with torch.cuda.amp.autocast(): lmk_loss, lmk_g_losses_latent = compute_pcalmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv) scaler.scale(lmk_loss).backward() else: lmk_loss, lmk_g_losses_latent = compute_pcalmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv) lmk_loss.backward() self.optimizer1.step('lmk_encoder', scaler=scaler) self.optimizer1.step('mot_decoder', scaler=scaler) self.optimizer2.step('generator', scaler=scaler) self.optimizer2.step('mapping_network', scaler=scaler) self.optimizer2.step('style_encoder', scaler=scaler) # compute moving average of network parameters self.optimizer1.scheduler() self.optimizer2.scheduler() if use_adv: for key in lmk_d_losses_latent: train_losses["train/%s" % key].append(lmk_d_losses_latent[key]) for key in lmk_g_losses_latent: train_losses["train/%s" % key].append(lmk_g_losses_latent[key]) train_losses = {key: np.mean(value) for key, value in train_losses.items()} return train_losses def visualize(self, fake_pca, length_mots, y): def pca2lmk(pca, U, mean): b, l, d = pca.shape pca = pca.reshape(b*l, d) lmk = torch.mm(pca, U.t()) lmk = lmk + mean.expand_as(lmk) lmk = lmk.reshape(b, l, -1).reshape(b, l, 468, 2) return lmk def visual_landmarks(fl, writer): heatmap = 255*np.ones((256, 256, 3), dtype=np.uint8) fl[:, :, 0:2] = fl[:, :, 0:2] - [-0.5,-0.4] fl[:,:,0:2] = fl[:,:,0:2]*200 fl = np.transpose(fl, (0, 2, 1)) for l in fl: img_draw = cv_draw_landmark_pca(heatmap, l) writer.append_data(img_draw[:, :, ::-1]) writer.close() return fl lmk = pca2lmk(fake_pca[0].unsqueeze(0), self.U, self.mean_mead) writer = imageio.get_writer(f'./lmk_result/{self.args.prefix["name"]}_{y[0]}_{self.epochs}.mp4', fps=30) visual_landmarks(lmk[0, :length_mots[0], :, :].cpu().numpy(), writer) return None @torch.no_grad() def _eval_lmk_pca_epoch(self): eval_losses = defaultdict(list) eval_images = defaultdict(list) _ = [self.model[k].eval() for k in self.model] use_adv = (self.epochs >=self.args.use_adv_epoch) use_adv_cls = (self.epochs >= self.args.use_adv_cls_epoch) for eval_steps_per_epoch, batch in enumerate(tqdm(self.val_dataloader, desc="[eval]"), 1): ### load data batch = [b.to(self.device) for b in batch] x_real, y_org, x_ref, x_ref2, y_trg, z_trg, z_trg2, inits, mots, length_mots, input_lmks= batch # eval the discriminator d_loss, lmk_d_losses_latent = compute_pcalmk_d_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trg=z_trg, use_adv_cls=use_adv_cls) # eval the generator lmk_loss, lmk_g_losses_latent, fake_pca = compute_pcalmk_g_loss(self.model, self.model_mot, inits, mots, length_mots, input_lmks, x_real, y_org, y_trg, z_trgs=[z_trg, z_trg2], use_adv=use_adv, eval=True) for key in lmk_d_losses_latent: eval_losses["eval/%s" % key].append(lmk_d_losses_latent[key]) for key in lmk_g_losses_latent: eval_losses["eval/%s" % key].append(lmk_g_losses_latent[key]) # if eval_steps_per_epoch % 10 == 0: # # generate x_fake # s_trg = self.model_ema.style_encoder(x_ref, y_trg) # F0 = self.model.f0_model.get_feature_GAN(x_real) # x_fake = self.model_ema.generator(x_real, s_trg, masks=None, F0=F0) # # generate x_recon # s_real = self.model_ema.style_encoder(x_real, y_org) # F0_fake = self.model.f0_model.get_feature_GAN(x_fake) # x_recon = self.model_ema.generator(x_fake, s_real, masks=None, F0=F0_fake) # eval_images['eval/image'].append( # ([x_real[0, 0].cpu().numpy(), # x_fake[0, 0].cpu().numpy(), # x_recon[0, 0].cpu().numpy()])) if self.epochs % self.args.prefix['ep'] == 0: if not use_adv: self.visualize(fake_pca, length_mots, y_org) else: self.visualize(fake_pca, length_mots, y_trg) eval_losses = {key: np.mean(value) for key, value in eval_losses.items()} eval_losses.update(eval_images) return eval_losses

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0.592716

3,932

28,857

4.051628

0.069685

0.059883

0.023162

0.771703

0.74967

0.727136

0.712699

0.703032

0.672211

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0.013409

0.297051

28,857

601

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48.014975

0.77195

0.320997

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0.502994

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false

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0.008982

0

null

0

1

0

null

0

5

6a8124562629ccfe66d02f5b88adafdb15648aa8

64

py

Python

test_sample.py

ityuhui/flask-rest

398e544ed70effd384d27a7e4f371a128a920acf

[ "Apache-2.0" ]

null

test_sample.py

ityuhui/flask-rest

398e544ed70effd384d27a7e4f371a128a920acf

[ "Apache-2.0" ]

null

test_sample.py

ityuhui/flask-rest

398e544ed70effd384d27a7e4f371a128a920acf

[ "Apache-2.0" ]

null

def func(x): return x+1 def test_func(): assert func(3) == 4

12.8

20

0.625

13

64

3

0.692308

0

0.058824

0.203125

64

5

20

12.8

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1

0.5

false

0

0.25

0.75

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0

null

0

1

0

null

0

1

0

1

0

5

6a8322733e0fbbdfee92207dc7632585a2fd4897

126

py

Python

imperium/errors.py

DSRetro/imperium

12b44677903493b0e506ad07d119e6d5c2717c35

[ "MIT" ]

null

imperium/errors.py

DSRetro/imperium

12b44677903493b0e506ad07d119e6d5c2717c35

[ "MIT" ]

null

imperium/errors.py

DSRetro/imperium

12b44677903493b0e506ad07d119e6d5c2717c35

[ "MIT" ]

null

class Error(Exception): pass class ArgumentError(Error): def __init__(self, message): self.message = message

18

32

0.68254

14

126

5.857143

0.642857

0.268293

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0.222222

126

6

33

21

0.836735

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0.2

false

0.2

0

0.6

0

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0

null

1

0

1

0

null

0

1

0

1

0

5

6aa5eaa9a7406f4bf1087a445c088cae983ea606

1,551

py

Python

tests/test_metrics/test_hmean_iou.py

yuexy/mmocr

82488024db159266e66ea6b0d6f84a5a18e87362

[ "Apache-2.0" ]

2,261

2021-04-08T03:45:41.000Z

2022-03-31T23:37:46.000Z

tests/test_metrics/test_hmean_iou.py

yuexy/mmocr

82488024db159266e66ea6b0d6f84a5a18e87362

[ "Apache-2.0" ]

789

2021-04-08T05:40:13.000Z

2022-03-31T09:42:39.000Z

tests/test_metrics/test_hmean_iou.py

yuexy/mmocr

82488024db159266e66ea6b0d6f84a5a18e87362

[ "Apache-2.0" ]

432

2021-04-08T03:56:16.000Z

2022-03-30T18:44:43.000Z

# Copyright (c) OpenMMLab. All rights reserved. """Test hmean_iou.""" import pytest import mmocr.core.evaluation.hmean_iou as hmean_iou def test_eval_hmean_iou(): pred_boxes = [] gt_boxes = [] gt_ignored_boxes = [] iou_thr = 0.5 precision_thr = 0.5 # test invalid arguments. with pytest.raises(AssertionError): hmean_iou.eval_hmean_iou([1], gt_boxes, gt_ignored_boxes, iou_thr, precision_thr) with pytest.raises(AssertionError): hmean_iou.eval_hmean_iou(pred_boxes, [1], gt_ignored_boxes, iou_thr, precision_thr) with pytest.raises(AssertionError): hmean_iou.eval_hmean_iou(pred_boxes, gt_boxes, [1], iou_thr, precision_thr) with pytest.raises(AssertionError): hmean_iou.eval_hmean_iou(pred_boxes, gt_boxes, gt_ignored_boxes, 1.1, precision_thr) with pytest.raises(AssertionError): hmean_iou.eval_hmean_iou(pred_boxes, gt_boxes, gt_ignored_boxes, iou_thr, 1.1) pred_boxes = [[[0, 0, 1, 0, 1, 1, 0, 1], [2, 0, 3, 0, 3, 1, 2, 1]]] gt_boxes = [[[0, 0, 1, 0, 1, 1, 0, 1], [2, 0, 3, 0, 3, 1, 2, 1]]] gt_ignored_boxes = [[]] results = hmean_iou.eval_hmean_iou(pred_boxes, gt_boxes, gt_ignored_boxes, iou_thr, precision_thr) assert results[1][0]['recall'] == 1 assert results[1][0]['precision'] == 1 assert results[1][0]['hmean'] == 1

36.928571

78

0.588008

213

1,551

3.981221

0.169014

0.150943

0.099057

0.113208

0.75

0.712264

0.630896

0

0.047316

0.291425

1,551

41

79

37.829268

0.724295

0.055448

0

0.290323

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0

0.258065

1

0.032258

false

0

0.064516

0

0.096774

0

null

0

1

0

null

0

5

0a870e93d20600b13f1848149e8dbb95d0fd597b

942

py

Python

tests/kyu_8_tests/test_sum_without_highest_and_lowest_number.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/kyu_8_tests/test_sum_without_highest_and_lowest_number.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/kyu_8_tests/test_sum_without_highest_and_lowest_number.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.kyu_8.sum_without_highest_and_lowest_number import sum_array class SumArrayTestCase(unittest.TestCase): def test_equal_1(self): self.assertEqual(sum_array(None), 0) def test_equal_2(self): self.assertEqual(sum_array([]), 0) def test_equal_3(self): self.assertEqual(sum_array([3]), 0) def test_equal_4(self): self.assertEqual(sum_array([-3]), 0) def test_equal_5(self): self.assertEqual(sum_array([3, 5]), 0) def test_equal_6(self): self.assertEqual(sum_array([-3, -5]), 0) def test_equal_7(self): self.assertEqual(sum_array([6, 2, 1, 8, 10]), 16) def test_equal_8(self): self.assertEqual(sum_array([6, 0, 1, 10, 10]), 17) def test_equal_9(self): self.assertEqual(sum_array([-6, -20, -1, -10, -12]), -28) def test_equal_10(self): self.assertEqual(sum_array([-6, 20, -1, 10, -12]), 3)

26.166667

71

0.636943

146

942

3.856164

0.253425

0.156306

0.213144

0.390764

0.614565

0.51865

0.419183

0

0.080645

0.210191

942

35

72

26.914286

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0

0.434783

1

0.434783

false

0

0.086957

0

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0

null

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0

null

0

1

0

1

0

1

0

5

0aa6ef07e18f895571a5f7cb10a1f67dc95346e8

21,312

py

Python

src/MAT/test/mat_bootstrap_unittest.py

wake-forest-ctsi/mist-toolkit

857e91976fa3b75ef2cad08612fa79cf2f743615

[ "BSD-3-Clause" ]

2

2019-10-18T18:19:09.000Z

2020-10-23T17:38:15.000Z

scrubber/MIST_2_0_4/src/MAT/test/mat_bootstrap_unittest.py

manaswini18/DmD

dd1e865ddb7b43c8478b2b5733385143b1980951

[ "Apache-2.0" ]

null

scrubber/MIST_2_0_4/src/MAT/test/mat_bootstrap_unittest.py

manaswini18/DmD

dd1e865ddb7b43c8478b2b5733385143b1980951

[ "Apache-2.0" ]

9

2016-12-17T22:50:37.000Z

2020-09-26T01:08:06.000Z

# Copyright (C) 2007 - 2009 The MITRE Corporation. See the toplevel # file LICENSE for license terms. from mat_unittest_resources import PluginContextTestCase import MAT import os, shutil # Testing the simpler bootstrapper. class BootstrapBasicTestCase(PluginContextTestCase): def setUp(self): PluginContextTestCase.setUp(self) self.expDir = os.path.join(self.testContext["TMPDIR"], "sample_ne_exp_in_code") os.makedirs(self.expDir) def tearDown(self): PluginContextTestCase.tearDown(self) shutil.rmtree(self.expDir) class SimpleBootstrapTestCase(BootstrapBasicTestCase): def testSimple(self): # I'm going to do a simple boostrap, constructed from objects. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")])], runs = [TestRun("test", model = "test", testCorpora = [("test", "test")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"})]) e.run() # OK, now we need to make sure that there's a model, and that in the # run input and the hyp input, there are two files each, whose names are # the prefix of the test slice of the test corpus. self.assertTrue(len(e.getModel("test").allInstances) == 1) m = e.getModel("test").allInstances[0] self.assertTrue(os.path.exists(os.path.join(m.modelDir, "model"))) files = e.corporaTable["test"].getFiles(partition = "test") self.assertEqual(len(files), 2) self.assertEqual(len(m.trainingSet.getFiles()), 8) self.assertTrue(len(e.runTable["test"].allInstances) == 1) r = e.runTable["test"].allInstances[0] runDir = r.runDir for file in files: self.assertTrue(os.path.exists(os.path.join(runDir, "hyp", os.path.basename(file)) + ".prepped.tag.json")) self.assertTrue(os.path.exists(os.path.join(runDir, "run_input", os.path.basename(file)) + ".prepped")) def testFiveWay(self): # I'm going to do a simple boostrap, constructed from objects. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("s1", 1), ("s2", 1), ("s3", 1), ("s4", 1), ("s5", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("s1234", trainingCorpora = [("test", "s1"), ("test", "s2"), ("test", "s3"), ("test", "s4")]), TrainingRun("s1235", trainingCorpora = [("test", "s1"), ("test", "s2"), ("test", "s3"), ("test", "s5")]), TrainingRun("s1245", trainingCorpora = [("test", "s1"), ("test", "s2"), ("test", "s4"), ("test", "s5")]), TrainingRun("s1345", trainingCorpora = [("test", "s1"), ("test", "s3"), ("test", "s4"), ("test", "s5")]), TrainingRun("s2345", trainingCorpora = [("test", "s2"), ("test", "s3"), ("test", "s4"), ("test", "s5")])], runs = [TestRun("s1", model = "s2345", testCorpora = [("test", "s1")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"}), TestRun("s2", model = "s1345", testCorpora = [("test", "s2")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"}), TestRun("s3", model = "s1245", testCorpora = [("test", "s3")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"}), TestRun("s4", model = "s1235", testCorpora = [("test", "s4")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"}), TestRun("s5", model = "s1234", testCorpora = [("test", "s5")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"})]) e.run() # OK, now we need to make sure that there's a model, and that in the # run input and the hyp input, there are two files each, whose names are # the prefix of the test slice of the test corpus. for m, mTemplate in e.modelSetTable.items(): self.assertTrue(len(mTemplate.allInstances) == 1) self.assertTrue(os.path.exists(os.path.join(e.getModelDir(mTemplate.allInstances[0]), "model"))) self.assertEqual(len(mTemplate.allInstances[0].trainingSet.getFiles()), 8) for p in ["s1", "s2", "s3", "s4", "s5"]: files = e.corporaTable["test"].getFiles(partition = p) self.assertEqual(len(files), 2) r = e.runTable[p] self.assertTrue(len(r.allInstances) == 1) runDir = r.allInstances[0].runDir for file in files: self.assertTrue(os.path.exists(os.path.join(runDir, "hyp", os.path.basename(file)) + ".prepped.tag.json")) self.assertTrue(os.path.exists(os.path.join(runDir, "run_input", os.path.basename(file)) + ".prepped")) class BootstrapIncrementTestCase(BootstrapBasicTestCase): def testIncrement(self): patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, IncrementIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], iterators = [IncrementIterator("engineSettings", "max_iterations", 4, 8, 2)])], runs = [TestRun("test", model = "test", testCorpora = [("test", "test")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"})]) e.run() # OK, this works. There should be a subdirectory for each model. self.assertTrue(len(e.getModel("test").allInstances) == 3) for m in e.getModel("test").allInstances: self.assertTrue(os.path.exists(os.path.join(m.modelDir, "model"))) self.assertEqual(len(m.trainingSet.getFiles()), 8) self.assertEqual([m.engineSettings["max_iterations"] for m in e.getModel("test").allInstances], [4, 6, 8]) self.assertEqual([m.modelSubdir for m in e.getModel("test").allInstances], ["test_max_iterations_4", "test_max_iterations_6", "test_max_iterations_8"]) files = e.corporaTable["test"].getFiles(partition = "test") self.assertEqual(len(files), 2) self.assertTrue(len(e.runTable["test"].allInstances) == 3) for r in e.runTable["test"].allInstances: runDir = r.runDir for file in files: self.assertTrue(os.path.exists(os.path.join(runDir, "hyp", os.path.basename(file)) + ".prepped.tag.json")) self.assertTrue(os.path.exists(os.path.join(runDir, "run_input", os.path.basename(file)) + ".prepped")) self.assertEqual([os.path.basename(r.runDir) for r in e.runTable["test"].allInstances], ["test_max_iterations_4", "test_max_iterations_6", "test_max_iterations_8"]) def testIncrementNoLastStep(self): # There should be a difference between forceLast and not forceLast. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, IncrementIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], iterators = [IncrementIterator("engineSettings", "max_iterations", 4, 7, 2)])]) e.run() # OK, this works. There should be a subdirectory for each model. self.assertTrue(len(e.getModel("test").allInstances) == 2) def testIncrementLastStep(self): # There should be a difference between forceLast and not forceLast. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, IncrementIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], iterators = [IncrementIterator("engineSettings", "max_iterations", 4, 7, 2, forceLast = True)])]) e.run() # OK, this works. There should be a subdirectory for each model. self.assertTrue(len(e.getModel("test").allInstances) == 3) def testDoubleModelIncrement(self): # Forcing last here because of float rounding. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, IncrementIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], engineSettings = {"l1": True}, iterators = [IncrementIterator("engineSettings", "max_iterations", 4, 8, 2), IncrementIterator("engineSettings", "l1_c", 0.1, 0.3, .1, forceLast = True)])]) e.run() self.assertTrue(len(e.getModel("test").allInstances) == 9) self.assertEqual([m.engineSettings["max_iterations"] for m in e.getModel("test").allInstances], [4, 4, 4, 6, 6, 6, 8, 8, 8]) self.assertEqual([str(m.engineSettings["l1_c"]) for m in e.getModel("test").allInstances], ['0.1', '0.2', '0.3','0.1', '0.2', '0.3','0.1', '0.2', '0.3']) self.assertEqual([m.engineSettings["l1"] for m in e.getModel("test").allInstances], [True] * 9) self.assertEqual([m.modelSubdir for m in e.getModel("test").allInstances], ["test_max_iterations_4_l1_c_0_1", "test_max_iterations_4_l1_c_0_2", "test_max_iterations_4_l1_c_0_3", "test_max_iterations_6_l1_c_0_1", "test_max_iterations_6_l1_c_0_2", "test_max_iterations_6_l1_c_0_3", "test_max_iterations_8_l1_c_0_1", "test_max_iterations_8_l1_c_0_2", "test_max_iterations_8_l1_c_0_3"]) def testModelPlusRunIncrement(self): patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, IncrementIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], iterators = [IncrementIterator("engineSettings", "max_iterations", 4, 8, 2)])], runs = [TestRun("test", model = "test", testCorpora = [("test", "test")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"}, iterators = [IncrementIterator("engineOptions", "prior_adjust", -1, 1, 1)])]) e.run() # OK, this works. There should be a subdirectory for each model. self.assertTrue(len(e.getModel("test").allInstances) == 3) self.assertEqual([m.engineSettings["max_iterations"] for m in e.getModel("test").allInstances], [4, 6, 8]) self.assertEqual([m.modelSubdir for m in e.getModel("test").allInstances], ["test_max_iterations_4", "test_max_iterations_6", "test_max_iterations_8"]) self.assertTrue(len(e.runTable["test"].allInstances) == 9) # Interleaved, so model dominant. self.assertEqual([(os.path.basename(os.path.dirname(r.runDir)), os.path.basename(r.runDir)) for r in e.runTable["test"].allInstances], [("test_prior_adjust__1", "test_max_iterations_4"), ("test_prior_adjust_0", "test_max_iterations_4"), ("test_prior_adjust_1", "test_max_iterations_4"), ("test_prior_adjust__1", "test_max_iterations_6"), ("test_prior_adjust_0", "test_max_iterations_6"), ("test_prior_adjust_1", "test_max_iterations_6"), ("test_prior_adjust__1", "test_max_iterations_8"), ("test_prior_adjust_0", "test_max_iterations_8"), ("test_prior_adjust_1", "test_max_iterations_8")]) class CorpusSizeTestCase(BootstrapBasicTestCase): def testCorpusSizeSimple(self): # There should be a difference between forceLast and not forceLast. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun, CorpusSizeIterator e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")], iterators = [CorpusSizeIterator(2)])]) e.run() # OK, this works. There should be a subdirectory for each model. allInstances = e.getModel("test").allInstances self.assertEqual(len(allInstances), 4) self.assertEqual([len(m.trainingSet.getFiles()) for m in allInstances], [2, 4, 6, 8]) self.assertTrue(set(allInstances[0].trainingSet.getFiles()) < set(allInstances[1].trainingSet.getFiles())) self.assertTrue(set(allInstances[1].trainingSet.getFiles()) < set(allInstances[2].trainingSet.getFiles())) self.assertTrue(set(allInstances[2].trainingSet.getFiles()) < set(allInstances[3].trainingSet.getFiles())) class DocumentRandomizationTestCase(BootstrapBasicTestCase): # The order of documents in both the partitioned and nonpartitioned cases should be # random. The chances of this test failing by accident are 1 in 10 million. def testDocumentSetRandomization(self): patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import DocumentSet fList = [DocumentSet("test", filePats = ["*.json"], prefix = patternDir).files[0] for i in range(8)] self.assertNotEqual(fList, [fList[0]] * 8) def testDocumentSetPartitionRandomization(self): patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import DocumentSet dList = [DocumentSet("test", partitions = [("train", 4), ("test", 1)], filePats = ["*.json"], prefix = patternDir) for i in range(8)] self.assertNotEqual([d.getFiles("train") for d in dList], [dList[0].getFiles("train")] * 8) self.assertNotEqual([d.getFiles("test") for d in dList], [dList[0].getFiles("test")] * 8) class FixedBootstrapTestCase(BootstrapBasicTestCase): def testSimple(self): # I'm going to do a simple boostrap, constructed from objects. patternDir = os.path.join(self.testContext["MAT_PKG_HOME"], "sample", "ne", "resources", "data", "json") from MAT.Bootstrap import Bootstrapper, DocumentSet, TrainingRun, TestRun e = Bootstrapper(dir = self.expDir, task = self.task, corpora = [DocumentSet("test", partitions = [("train", 3), ("test", DocumentSet.FIXED_PARTITION_REMAINDER)], partitionIsFixed = True, filePats = ["*.json"], prefix = patternDir)], models = [TrainingRun("test", trainingCorpora = [("test", "train")])], runs = [TestRun("test", model = "test", testCorpora = [("test", "test")], engineOptions = {"steps": "zone,tokenize,tag", "workflow": "Demo"})]) e.run() # OK, now we need to make sure that there's a model, and that in the # run input and the hyp input, there are two files each, whose names are # the prefix of the test slice of the test corpus. self.assertTrue(len(e.getModel("test").allInstances) == 1) m = e.getModel("test").allInstances[0] self.assertTrue(os.path.exists(os.path.join(m.modelDir, "model"))) files = e.corporaTable["test"].getFiles(partition = "test") self.assertEqual(len(files), 7) self.assertEqual(len(m.trainingSet.getFiles()), 3) self.assertTrue(len(e.runTable["test"].allInstances) == 1) r = e.runTable["test"].allInstances[0] runDir = r.runDir for file in files: self.assertTrue(os.path.exists(os.path.join(runDir, "hyp", os.path.basename(file)) + ".prepped.tag.json")) self.assertTrue(os.path.exists(os.path.join(runDir, "run_input", os.path.basename(file)) + ".prepped"))

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null

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5

0abdd140b804d6ef1c5e38db81835d4ebeb0c459

102

py

Python

diffios/__init__.py

devendrav1987/diffios

2afb3e759a6bd7c7f13d955cb29d2ac434f77510

[ "MIT" ]

30

2017-03-31T09:17:21.000Z

2022-03-17T16:55:00.000Z

diffios/__init__.py

devendrav1987/diffios

2afb3e759a6bd7c7f13d955cb29d2ac434f77510

[ "MIT" ]

17

2017-01-27T19:00:20.000Z

2017-05-05T15:44:33.000Z

diffios/__init__.py

devendrav1987/diffios

2afb3e759a6bd7c7f13d955cb29d2ac434f77510

[ "MIT" ]

18

2018-07-11T16:36:58.000Z

2022-02-03T06:50:40.000Z

from diffios.config import Config from diffios.compare import Compare from diffios.constants import *

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5

0ac4b0af64f8d26f09df145c566900fc763a1da4

68

py

Python

madrona/installer/files/_project/_app/forms.py

movermeyer/madrona

fcdced0a03408754b88a3d88f416e04d500c32d4

[ "BSD-3-Clause" ]

9

2015-03-09T11:04:21.000Z

2022-01-16T09:45:36.000Z

madrona/installer/files/_project/_app/forms.py

movermeyer/madrona

fcdced0a03408754b88a3d88f416e04d500c32d4

[ "BSD-3-Clause" ]

1

2020-04-24T14:38:43.000Z

madrona/installer/files/_project/_app/forms.py

movermeyer/madrona

fcdced0a03408754b88a3d88f416e04d500c32d4

[ "BSD-3-Clause" ]

2

2016-12-06T15:31:35.000Z

2018-03-04T20:04:44.000Z

from madrona.features.forms import FeatureForm, SpatialFeatureForm

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5

0acebdd1542c3517f0b1cafec953f30570248560

24

py

Python

src/training/__init__.py

askarum/CS547project

73e8da0d4113f9ec3be374958da9dc165212d722

[ "MIT" ]

12

2021-07-27T07:18:24.000Z

2022-03-09T13:52:20.000Z

src/training/__init__.py

askarum/CS547project

73e8da0d4113f9ec3be374958da9dc165212d722

[ "MIT" ]

3

2021-05-15T03:15:45.000Z

2021-05-15T03:16:36.000Z

src/training/__init__.py

askarum/CS547project

73e8da0d4113f9ec3be374958da9dc165212d722

[ "MIT" ]

3

2021-11-18T14:46:40.000Z

2022-01-03T15:47:23.000Z

from .samplers import *

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1

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5

0ad7a914bddd2b861ba86c7ea1df05f23e0270d3

92

py

Python

channel/admin.py

theju/dtwt

0e29e37d17a2e5a704885df87019ff0cdf006b8b

[ "MIT" ]

8

2015-02-19T19:15:18.000Z

2022-01-02T03:51:56.000Z

channel/admin.py

theju/dtwt

0e29e37d17a2e5a704885df87019ff0cdf006b8b

[ "MIT" ]

null

channel/admin.py

theju/dtwt

0e29e37d17a2e5a704885df87019ff0cdf006b8b

[ "MIT" ]

1

2022-01-02T03:52:03.000Z

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

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1

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5

0af205e9b103a1f15934739c82bf8d18c9829550

172

py

Python

examples/notebooks/1_deploy_notebooks/notebooks/sample2.py

leaferrara/terraform-databricks-workspace-management

c446de6838d5a790f32fb8a4dde5becceefb4ea9

[ "Apache-2.0" ]

5

2021-05-04T13:15:05.000Z

2022-02-01T15:39:12.000Z

examples/notebooks/1_deploy_notebooks/notebooks/sample2.py

leaferrara/terraform-databricks-workspace-management

c446de6838d5a790f32fb8a4dde5becceefb4ea9

[ "Apache-2.0" ]

1

2021-09-06T21:10:10.000Z

examples/notebooks/1_deploy_notebooks/notebooks/sample2.py

leaferrara/terraform-databricks-workspace-management

c446de6838d5a790f32fb8a4dde5becceefb4ea9

[ "Apache-2.0" ]

3

2021-08-17T16:42:04.000Z

2022-02-22T05:22:18.000Z

token = dbutils.secrets.get('${databricks_secret_scope.this.name}', '${databricks_secret.token.key}') print(f'This should be recacted: {token}') print(f'Hello world pong')

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null

0

1

0

5

0afbcef50ccc7de8e740111526d1ebb1241d1ea3

6,938

py

Python

main.py

regro/conda-forge-sparta

1d55095a931da893507037f1bcc696ad3ed94bae

[ "BSD-3-Clause" ]

null

main.py

regro/conda-forge-sparta

1d55095a931da893507037f1bcc696ad3ed94bae

[ "BSD-3-Clause" ]

null

main.py

regro/conda-forge-sparta

1d55095a931da893507037f1bcc696ad3ed94bae

[ "BSD-3-Clause" ]

null

import os import requests import threading import gc from fastapi import FastAPI, HTTPException from fastapi.responses import RedirectResponse # https://stackoverflow.com/questions/12435211/python-threading-timer-repeat-function-every-n-seconds def setInterval(interval): def decorator(function): def wrapper(*args, **kwargs): stopped = threading.Event() def loop(): # executed in another thread while not stopped.wait(interval): # until stopped function(*args, **kwargs) t = threading.Thread(target=loop) t.daemon = True # stop if the program exits t.start() return stopped return wrapper return decorator LINKS = requests.get( "https://github.com/regro/repodata/releases/latest/download/links.json" ).json() @setInterval(300) # every 5 minutes def _update_links(): print("************* RELOADING LINKS *************") global LINKS new_links = requests.get( "https://github.com/regro/repodata/releases/latest/download/links.json" ).json() LINKS = new_links gc.collect() _stop_update_links = _update_links() app = FastAPI() @app.get("/") async def root(): return {"message": "this is the index!"} ################################################################################ # labels ################################################################################ @app.get("/conda-forge-sparta/label/{label}") async def root_label(label): return {"message": "this is the index!"} # return RedirectResponse( # f"https://regro.github.io/repodata/label/{label}/index.html" # ) @app.get("/conda-forge-sparta/label/{label}/channeldata.json") async def channeldata_label(label): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"channeldata_{label}.json" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/") async def subdir_root_label(label, subdir): return {"message": "this is the index!"} # return RedirectResponse( # f"https://regro.github.io/repodata/label/{label}/{subdir}/index.html" # ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/repodata.json") async def subdir_repodatadata_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/repodata.json.bz2") async def subdir_repodatadatabz2_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json.bz2" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/repodata_from_packages.json") async def subdir_repodatadata_pkgs_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/repodata_from_packages.json.bz2") async def subdir_repodatadatabz2_pkgs_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json.bz2" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/current_repodata.json") async def subdir_repodatadata_curr_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/current_repodata.json.bz2") async def subdir_repodatadatabz2_curr_label(label, subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_{label}.json.bz2" ) @app.get("/conda-forge-sparta/label/{label}/{subdir}/{pkg}") async def subdir_pkg_label(label, subdir, pkg): subdir_pkg = os.path.join(subdir, pkg) url = LINKS[label].get(subdir_pkg, None) if url is None: raise HTTPException( status_code=404, detail=f"label/{label}/{subdir_pkg} not found!" ) return RedirectResponse(url) ################################################################################ # main ################################################################################ @app.get("/conda-forge-sparta/") async def root_main(): return {"message": "this is the index!"} # return RedirectResponse("https://regro.github.io/repodata/label/main/index.html") @app.get("/conda-forge-sparta/channeldata.json") async def channeldata(): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" "channeldata_main.json" ) @app.get("/conda-forge-sparta/{subdir}/") async def subdir_root(subdir): return {"message": "this is the index!"} # return RedirectResponse( # f"https://regro.github.io/repodata/label/main/{subdir}/index.html" # ) @app.get("/conda-forge-sparta/{subdir}/repodata.json") async def subdir_repodatadata(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json" ) @app.get("/conda-forge-sparta/{subdir}/repodata.json.bz2") async def subdir_repodatadatabz2(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json.bz2" ) @app.get("/conda-forge-sparta/{subdir}/repodata_from_packages.json") async def subdir_repodatadata_pkgs(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json" ) @app.get("/conda-forge-sparta/{subdir}/repodata_from_packages.json.bz2") async def subdir_repodatadatabz2_pkgs(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json.bz2" ) @app.get("/conda-forge-sparta/{subdir}/current_repodata.json") async def subdir_repodatadata_curr(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json" ) @app.get("/conda-forge-sparta/{subdir}/current_repodata.json.bz2") async def subdir_repodatadatabz2_curr(subdir): return RedirectResponse( "https://github.com/regro/repodata/releases/latest/download/" f"repodata_{subdir}_main.json.bz2" ) @app.get("/conda-forge-sparta/{subdir}/{pkg}") async def subdir_pkg(subdir, pkg): subdir_pkg = os.path.join(subdir, pkg) url = LINKS["main"].get(subdir_pkg, None) if url is None: raise HTTPException(status_code=404, detail=f"{subdir_pkg} not found!") return RedirectResponse(url)

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6,938

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102

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0.754386

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0

1

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false

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null

0

1

0

1

0

null

0

5

e40baf433f853651a34a979a26d16b7e3a14289c

27

py

Python

tests/molecular/molecules/molecule/fixtures/cof/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

21

2018-04-12T16:25:24.000Z

2022-02-14T23:05:43.000Z

tests/molecular/molecules/molecule/fixtures/cof/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

8

2019-03-19T12:36:36.000Z

2020-11-11T12:46:00.000Z

tests/molecular/molecules/molecule/fixtures/cof/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

5

2018-08-07T13:00:16.000Z

2021-11-01T00:55:10.000Z

from .cof import * # noqa

13.5

26

0.62963

4

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4.25

1

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1

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true

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null

0

1

0

null

0

1

0

1

0

5

7c27294a115cc83b1ec1b79310b0689a1023f540

118

py

Python

agenda/admin.py

wellingtonsilva04/agenda_web

aa83b7a0c1310a4266fb9b0ccf09c35c639af05f

[ "MIT" ]

null

agenda/admin.py

wellingtonsilva04/agenda_web

aa83b7a0c1310a4266fb9b0ccf09c35c639af05f

[ "MIT" ]

null

agenda/admin.py

wellingtonsilva04/agenda_web

aa83b7a0c1310a4266fb9b0ccf09c35c639af05f

[ "MIT" ]

null

from django.contrib import admin from .models import Contato # Register your models here. admin.site.register(Contato)

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224

py

Python

sdk/pam/lib/libpam_arvados.py

coolmaksat/arvados

5f571760d4b52426e39ae39d0ce5cb9b7cfb0add

[ "Apache-2.0" ]

1

2017-11-15T13:16:38.000Z

sdk/pam/lib/libpam_arvados.py

coolmaksat/arvados

5f571760d4b52426e39ae39d0ce5cb9b7cfb0add

[ "Apache-2.0" ]

null

sdk/pam/lib/libpam_arvados.py

coolmaksat/arvados

5f571760d4b52426e39ae39d0ce5cb9b7cfb0add

[ "Apache-2.0" ]

1

2020-09-02T08:37:54.000Z

# Copyright (C) The Arvados Authors. All rights reserved. # # SPDX-License-Identifier: Apache-2.0 import sys sys.path.append('/usr/share/python2.7/dist/libpam-arvados/lib/python2.7/site-packages') from arvados_pam import *

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5

7c372f29b18b28c66e0f421346374bd713b8ef9a

651

py

Python

amqpstorm/__init__.py

getaroom/amqpstorm

c7692518197fd145cb499dc260b5ab3038c5d673

[ "MIT" ]

null

amqpstorm/__init__.py

getaroom/amqpstorm

c7692518197fd145cb499dc260b5ab3038c5d673

[ "MIT" ]

1

2020-09-07T03:01:58.000Z

amqpstorm/__init__.py

getaroom/amqpstorm

c7692518197fd145cb499dc260b5ab3038c5d673

[ "MIT" ]

null

"""AMQPStorm.""" __version__ = '2.8.1' # noqa __author__ = 'eandersson' # noqa import logging logging.getLogger('amqpstorm').addHandler(logging.NullHandler()) from amqpstorm.channel import Channel # noqa from amqpstorm.connection import Connection # noqa from amqpstorm.uri_connection import UriConnection # noqa from amqpstorm.message import Message # noqa from amqpstorm.exception import AMQPError # noqa from amqpstorm.exception import AMQPChannelError # noqa from amqpstorm.exception import AMQPMessageError # noqa from amqpstorm.exception import AMQPConnectionError # noqa from amqpstorm.exception import AMQPInvalidArgument # noqa

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7c3fffae7295b68003f22449543debe9ade79ff4

15,148

py

Python

tests/pytests/test_profile.py

He-YuFei/RediSearch

5f08c2ad22ad2501124d6319dffdf34a3e30c878

[ "Apache-2.0", "Ruby", "BSD-3-Clause", "MIT" ]

1

2018-08-23T22:10:15.000Z

tests/pytests/test_profile.py

eubide/RediSearch

3038e45bac9fe6746af6b5b36106a85e328ed6d8

[ "BSD-3-Clause", "Ruby", "Apache-2.0", "MIT" ]

null

tests/pytests/test_profile.py

eubide/RediSearch

3038e45bac9fe6746af6b5b36106a85e328ed6d8

[ "BSD-3-Clause", "Ruby", "Apache-2.0", "MIT" ]

null

# -*- coding: utf-8 -*- import unittest from includes import * from common import getConnectionByEnv, waitForIndex, sortedResults, toSortedFlatList, server_version_less_than, server_version_at_least from time import sleep from RLTest import Env def testProfileSearch(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('hset', '1', 't', 'hello') conn.execute_command('hset', '2', 't', 'world') env.expect('ft.profile', 'profile', 'idx', '*', 'nocontent').error().contains('No `SEARCH` or `AGGREGATE` provided') # test WILDCARD actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '*', 'nocontent') env.assertEqual(actual_res[1][3], ['Iterators profile', ['Type', 'WILDCARD', 'Counter', 2L]]) # test EMPTY actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'redis', 'nocontent') env.assertEqual(actual_res[1][3], ['Iterators profile', ['Type', 'EMPTY', 'Counter', 0L]]) # test single term actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hello', 'nocontent') env.assertEqual(actual_res[1][3], ['Iterators profile', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]) # test UNION actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hello|world', 'nocontent') expected_res = ['Iterators profile', ['Type', 'UNION', 'Query type', 'UNION', 'Counter', 2L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'TEXT', 'Term', 'world', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test INTERSECT actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hello world', 'nocontent') expected_res = ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 0L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'TEXT', 'Term', 'world', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test NOT actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '-hello', 'nocontent') expected_res = ['Iterators profile', ['Type', 'NOT', 'Counter', 1L, 'Child iterator', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test OPTIONAL actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '~hello', 'nocontent') expected_res = ['Iterators profile', ['Type', 'OPTIONAL', 'Counter', 2L, 'Child iterator', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test PREFIX actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hel*', 'nocontent') expected_res = ['Iterators profile', ['Type', 'UNION', 'Query type', 'PREFIX - hel', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test FUZZY actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '%%hel%%', 'nocontent') expected_res = ['Iterators profile', ['Type', 'UNION', 'Query type', 'FUZZY - hel', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test ID LIST iter with INKEYS actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hello', 'inkeys', 1, '1') expected_res = ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'ID-LIST', 'Counter', 1L], ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]] env.assertEqual(actual_res[1][3], expected_res) # test no crash on reaching deep reply array actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'hello(hello(hello(hello(hello))))', 'nocontent') expected_res = ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]]]]] env.assertEqual(actual_res[1][3], expected_res) if server_version_less_than(env, '6.2.0'): return actual_res = env.execute_command('ft.profile', 'idx', 'search', 'query', 'hello(hello(hello(hello(hello(hello)))))', 'nocontent') expected_res = ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L], ['Type', 'TEXT', 'Term', 'hello', 'Counter', 1L, 'Size', 1L]]]]]]] env.assertEqual(actual_res[1][3], expected_res) def testProfileSearchLimited(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('hset', '1', 't', 'hello') conn.execute_command('hset', '2', 't', 'hell') conn.execute_command('hset', '3', 't', 'help') conn.execute_command('hset', '4', 't', 'helowa') actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'limited', 'query', '%hell% hel*') expected_res = ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 3L, 'Child iterators', ['Type', 'UNION', 'Query type', 'FUZZY - hell', 'Counter', 3L, 'Child iterators', 'The number of iterators in the union is 3'], ['Type', 'UNION', 'Query type', 'PREFIX - hel', 'Counter', 3L, 'Child iterators', 'The number of iterators in the union is 4']]] env.assertEqual(actual_res[1][3], expected_res) def testProfileAggregate(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('hset', '1', 't', 'hello') conn.execute_command('hset', '2', 't', 'world') expected_res = ['Result processors profile', ['Type', 'Index', 'Counter', 1L], ['Type', 'Loader', 'Counter', 1L], ['Type', 'Grouper', 'Counter', 1L]] actual_res = conn.execute_command('ft.profile', 'idx', 'aggregate', 'query', 'hello', 'groupby', 1, '@t', 'REDUCE', 'count', '0', 'as', 'sum') env.assertEqual(actual_res[1][4], expected_res) expected_res = ['Result processors profile', ['Type', 'Index', 'Counter', 2L], ['Type', 'Loader', 'Counter', 2L], ['Type', 'Projector - Function startswith', 'Counter', 2L]] actual_res = env.cmd('ft.profile', 'idx', 'aggregate', 'query', '*', 'load', 1, 't', 'apply', 'startswith(@t, "hel")', 'as', 'prefix') env.assertEqual(actual_res[1][4], expected_res) def testProfileCursor(env): conn = getConnectionByEnv(env) env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') env.expect('ft.profile', 'idx', 'aggregate', 'query', '*', 'WITHCURSOR').error().contains('FT.PROFILE does not support cursor') def testProfileErrors(env): conn = getConnectionByEnv(env) env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') # missing args env.expect('ft.profile', 'idx').error().contains("wrong number of arguments for 'ft.profile'") env.expect('ft.profile', 'idx', 'SEARCH').error().contains("wrong number of arguments for 'ft.profile'") env.expect('ft.profile', 'idx', 'SEARCH', 'QUERY').error().contains("wrong number of arguments for 'ft.profile'") # wrong `query` type env.expect('ft.profile', 'idx', 'redis', 'QUERY', '*').error().contains('No `SEARCH` or `AGGREGATE` provided') # miss `QUERY` keyword if not env.isCluster(): env.expect('ft.profile', 'idx', 'SEARCH', 'FIND', '*').error().contains('The QUERY keyward is expected') def testProfileNumeric(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 'n', 'numeric') conn.execute_command('hset', '1', 'n', '1.2') conn.execute_command('hset', '2', 'n', '1.5') conn.execute_command('hset', '3', 'n', '8.2') conn.execute_command('hset', '4', 'n', '6.7') conn.execute_command('hset', '5', 'n', '-14') actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '@n:[0,100]', 'nocontent') expected_res = ['Iterators profile', ['Type', 'UNION', 'Query type', 'NUMERIC', 'Counter', 4L, 'Child iterators', ['Type', 'NUMERIC', 'Term', '-14 - 1.35', 'Counter', 1L, 'Size', 2L], ['Type', 'NUMERIC', 'Term', '1.35 - 8.2', 'Counter', 3L, 'Size', 3L]]] env.assertEqual(actual_res[1][3], expected_res) def testProfileTag(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'tag') conn.execute_command('hset', '1', 't', 'foo,bar') conn.execute_command('hset', '2', 't', 'food,bag') conn.execute_command('hset', '3', 't', 'foo') # tag profile actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '@t:{foo}', 'nocontent') env.assertEqual(actual_res[1][3], ['Iterators profile', ['Type', 'TAG', 'Term', 'foo', 'Counter', 2L, 'Size', 2L]]) def testProfileVector(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.expect('FT.CREATE idx SCHEMA v VECTOR HNSW 6 TYPE FLOAT32 DIM 2 DISTANCE_METRIC L2 t TEXT').ok() conn.execute_command('hset', '1', 'v', 'abababab', 't', "hello") conn.execute_command('hset', '2', 'v', 'babababa', 't', "hello") conn.execute_command('hset', '3', 'v', 'aabbaabb', 't', "hello") conn.execute_command('hset', '4', 'v', 'bbaabbaa', 't', "hello world") conn.execute_command('hset', '5', 'v', 'aaaabbbb', 't', "hello world") actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '*=>[TOP_K 3 @v $vec]', 'PARAMS', '2', 'vec', 'aaaaaaaa', 'nocontent') expected_iterators_res = ['Iterators profile', ['Type', 'VECTOR', 'Counter', 3L]] expected_vecsim_rp_res = ['Type', 'Vector Similarity Scores Loader', 'Counter', 3L] env.assertEqual(actual_res[0], [3L, '1', '2', '4']) env.assertEqual(actual_res[1][3], expected_iterators_res) env.assertEqual(actual_res[1][4][3], expected_vecsim_rp_res) # Test with hybrid query actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', '(@t:hello world)=>[TOP_K 3 @v $vec]', 'PARAMS', '2', 'vec', 'aaaaaaaa', 'nocontent') expected_iterators_res = ['Iterators profile', ['Type', 'VECTOR', 'Counter', 2L, 'Child iterator', ['Type', 'INTERSECT', 'Counter', 4L, 'Child iterators', ['Type', 'TEXT', 'Term', 'world', 'Counter', 4L, 'Size', 2L], ['Type', 'TEXT', 'Term', 'hello', 'Counter', 4L, 'Size', 5L]]]] expected_vecsim_rp_res = ['Type', 'Vector Similarity Scores Loader', 'Counter', 2L] env.assertEqual(actual_res[0], [2L, '4', '5']) env.assertEqual(actual_res[1][3], expected_iterators_res) env.assertEqual(actual_res[1][4][3], expected_vecsim_rp_res) def testResultProcessorCounter(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('hset', '1', 't', 'foo') conn.execute_command('hset', '2', 't', 'bar') actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'foo|bar', 'limit', '0', '0') env.assertEqual(actual_res[0], [2L]) res = ['Result processors profile', ['Type', 'Index', 'Counter', 2L], ['Type', 'Counter', 'Counter', 1L]] env.assertEqual(actual_res[1][4], res) def testProfileMaxPrefixExpansion(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', 'MAXPREFIXEXPANSIONS', 2) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') env.cmd('ft.create', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('hset', '1', 't', 'foo1') conn.execute_command('hset', '2', 't', 'foo2') conn.execute_command('hset', '3', 't', 'foo3') actual_res = conn.execute_command('ft.profile', 'idx', 'search', 'query', 'foo*', 'limit', '0', '0') env.assertEqual(actual_res[1][3][1][6:8], ['Warning', 'Max prefix expansion reached']) env.cmd('FT.CONFIG', 'SET', 'MAXPREFIXEXPANSIONS', 200) def testNotIterator(env): env.skipOnCluster() conn = getConnectionByEnv(env) env.cmd('FT.CONFIG', 'SET', 'MAXPREFIXEXPANSIONS', 2) env.cmd('FT.CONFIG', 'SET', '_PRINT_PROFILE_CLOCK', 'false') conn.execute_command('FT.CREATE', 'idx', 'SCHEMA', 't', 'text') conn.execute_command('HSET', '1', 't', 'foo') conn.execute_command('HSET', '2', 't', 'bar') #before the fix, we would not get an empty iterator res = [[1L, '1', ['t', 'foo']], [['Total profile time'], ['Parsing time'], ['Pipeline creation time'], ['Iterators profile', ['Type', 'INTERSECT', 'Counter', 1L, 'Child iterators', ['Type', 'TEXT', 'Term', 'foo', 'Counter', 1L, 'Size', 1L], ['Type', 'NOT', 'Counter', 1L, 'Child iterator', ['Type', 'EMPTY', 'Counter', 0L]]]], ['Result processors profile', ['Type', 'Index', 'Counter', 1L], ['Type', 'Scorer', 'Counter', 1L], ['Type', 'Sorter', 'Counter', 1L], ['Type', 'Loader', 'Counter', 1L]]]] env.expect('ft.profile', 'idx', 'search', 'query', 'foo -@t:baz').equal(res)

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0.114943

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null

0

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5

7c5175f1c34bf8b38af7ff777d4ee6be44ccabec

36

py

Python

playground.py

stefantaubert/deepvoice3_pytorch

0b9a65757446c2fb54db199612752e0a1a58a9d2

[ "MIT" ]

267

2018-10-24T05:28:04.000Z

2019-12-24T19:06:14.000Z

playground.py

stefantaubert/deepvoice3_pytorch

0b9a65757446c2fb54db199612752e0a1a58a9d2

[ "MIT" ]

275

2021-01-06T20:53:21.000Z

2021-04-22T14:03:09.000Z

playground.py

stefantaubert/deepvoice3_pytorch

0b9a65757446c2fb54db199612752e0a1a58a9d2

[ "MIT" ]

83

2018-10-23T15:37:54.000Z

2019-12-24T19:06:21.000Z

import nltk nltk.download('punkt')

9

22

0.75

5

36

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0.8

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36

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7c6c52cc87e9e5e628a69bf3d2716e4989d1857e

376

py

Python

lang_base_classes/english_language.py

clean-code-craft-tcq-2/simple-monitor-in-py-Shivam6033

b0a1c9062c4818fe39f4fe59abf48d8fb6541010

[ "MIT" ]

null

lang_base_classes/english_language.py

clean-code-craft-tcq-2/simple-monitor-in-py-Shivam6033

b0a1c9062c4818fe39f4fe59abf48d8fb6541010

[ "MIT" ]

null

lang_base_classes/english_language.py

clean-code-craft-tcq-2/simple-monitor-in-py-Shivam6033

b0a1c9062c4818fe39f4fe59abf48d8fb6541010

[ "MIT" ]

null

from abstract_classes.language_service import LanguageService class EnglishLanguage(LanguageService): def get_out_of_range_message(self): return 'out of Range!!' def get_approaching_charge_peak_message(self): return 'Warning: Approaching discharge' def get_approaching_discharge_message(self): return 'Warning: Approaching charge-peak'

28.923077

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1

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1

0

5

7c7999999076a53281ed7d47ed7bf8acf6d30d3b

535

py

Python

allennlp/data/__init__.py

nadgeri14/allennlp

2eefffaf71612263a1c20e8ce4107849cfd5efe3

[ "Apache-2.0" ]

2

2021-04-27T19:56:28.000Z

2021-08-19T05:34:37.000Z

allennlp/data/__init__.py

nadgeri14/allennlp

2eefffaf71612263a1c20e8ce4107849cfd5efe3

[ "Apache-2.0" ]

5

2021-05-03T14:40:33.000Z

2021-05-03T14:40:34.000Z

allennlp/data/__init__.py

nadgeri14/allennlp

2eefffaf71612263a1c20e8ce4107849cfd5efe3

[ "Apache-2.0" ]

1

2021-02-04T08:42:23.000Z

from allennlp.data.dataset_readers.dataset_reader import DatasetReader from allennlp.data.fields.field import DataArray, Field from allennlp.data.fields.text_field import TextFieldTensors from allennlp.data.instance import Instance from allennlp.data.iterators.data_iterator import DataIterator from allennlp.data.token_indexers.token_indexer import TokenIndexer, IndexedTokenList from allennlp.data.tokenizers.token import Token from allennlp.data.tokenizers.tokenizer import Tokenizer from allennlp.data.vocabulary import Vocabulary

53.5

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0.094828

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