xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

80ad871d44f6d1c870d694b6ce07e178ee41e5e0

52

py

Python

guild/tests/samples/projects/simple/simple.py

wheatdog/guildai

817cf179d0b6910d3d4fca522045a8139aef6c9e

[ "Apache-2.0" ]

694

2018-11-30T01:06:30.000Z

2022-03-31T14:46:26.000Z

guild/tests/samples/projects/simple/simple.py

wheatdog/guildai

817cf179d0b6910d3d4fca522045a8139aef6c9e

[ "Apache-2.0" ]

323

2018-11-05T17:44:34.000Z

2022-03-31T16:56:41.000Z

guild/tests/samples/projects/simple/simple.py

wheatdog/guildai

817cf179d0b6910d3d4fca522045a8139aef6c9e

[ "Apache-2.0" ]

68

2019-04-01T04:24:47.000Z

2022-02-24T17:22:04.000Z

x = 1.0 print("x: %s" % x) print("y: %s" % (x + 1))

13

24

0.384615

12

52

1.666667

0.5

0.2

0

0.076923

0.25

52

3

25

17.333333

0.435897

0

0.192308

0

1

0

false

0

0.666667

1

0

1

null

0

1

0

1

0

null

0

1

0

5

03a7c7b783e0bd7d1e50d7e9ad2a54c007ade91a

232

py

Python

tests/test_meta.py

mskcc/cwl-utils

812d7a7df470bc116fae7f2a43fca2824d623400

[ "Apache-2.0" ]

21

2018-08-15T06:45:29.000Z

2021-11-13T23:31:04.000Z

tests/test_meta.py

mskcc/cwl-utils

812d7a7df470bc116fae7f2a43fca2824d623400

[ "Apache-2.0" ]

112

2019-01-25T08:51:33.000Z

2022-03-22T03:24:47.000Z

tests/test_meta.py

mskcc/cwl-utils

812d7a7df470bc116fae7f2a43fca2824d623400

[ "Apache-2.0" ]

11

2019-05-27T12:34:23.000Z

2021-09-08T14:00:34.000Z

"""Test __meta__ properties.""" from cwl_utils.__meta__ import __version__ def test_graph_split() -> None: """Confirm that __version__ exists and is a string.""" assert __version__ assert isinstance(__version__, str)

23.2

58

0.732759

28

232

5.107143

0.785714

0

0.168103

232

9

59

25.777778

0.740933

0.318966

0

0.5

1

0.25

true

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

03cf77eb00b1fca2f93d6fcc5e07cd97bec2432e

573

py

Python

source/scrapy/klse/main.py

mengwangk/myinvestor-toolkit

3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81

[ "MIT" ]

7

2019-10-13T18:58:33.000Z

2021-08-07T12:46:22.000Z

source/scrapy/klse/main.py

mengwangk/myinvestor-toolkit

3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81

[ "MIT" ]

7

2019-12-16T21:25:34.000Z

2022-02-10T00:11:22.000Z

source/scrapy/klse/main.py

mengwangk/myinvestor-toolkit

3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81

[ "MIT" ]

4

2020-02-01T11:23:51.000Z

2021-12-13T12:27:18.000Z

# -*- coding: utf-8 -*- from scrapy import cmdline #cmdline.execute("scrapy crawl dividend_history".split()) # Grab the stock quotes # cmdline.execute("scrapy crawl quotes_investing".split()) # Grab dividend histories # cmdline.execute("scrapy crawl dividend_history_investing".split()) # Grab historical prices #cmdline.execute("scrapy crawl historical_prices_investing".split()) # Grab dividends history # cmdline.execute("scrapy crawl dividend_history_malaysiastock".split()) # Get OHLC for selected stocks cmdline.execute("scrapy crawl ohlc_investing".split())

26.045455

72

0.776614

70

573

6.228571

0.385714

0.192661

0.275229

0.344037

0.275229

0

0.001953

0.106457

573

22

73

26.045455

0.849609

0.802792

0

0.264706

0

1

0

true

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

5

03cfe71025e26d7b739b1a5282c84c4ee77a93f5

39

py

Python

improc/utils/const.py

antsfamily/improc

ceab171b0e61187fa2ced7c58540d5ffde79ebac

[ "MIT" ]

2

2019-09-29T08:43:31.000Z

2022-01-12T09:46:18.000Z

improc/utils/const.py

antsfamily/improc

ceab171b0e61187fa2ced7c58540d5ffde79ebac

[ "MIT" ]

null

improc/utils/const.py

antsfamily/improc

ceab171b0e61187fa2ced7c58540d5ffde79ebac

[ "MIT" ]

null

EPS = 1.0e-16 PI = 3.141592653589793

7.8

22

0.666667

7

39

3.714286

1

0

0.645161

0.205128

39

4

23

9.75

0.193548

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

03d99c746742f5d55164a8acbec96e13619c89b8

230

py

Python

blackfrost_analytics/blackfrost_analytics/doctype/blackfrost_analytics_settings/test_blackfrost_analytics_settings.py

hrazaBFT/blackfrost_analytics

bfe962495fb194e70fe90526871393dcd11097d9

[ "MIT" ]

null

blackfrost_analytics/blackfrost_analytics/doctype/blackfrost_analytics_settings/test_blackfrost_analytics_settings.py

hrazaBFT/blackfrost_analytics

bfe962495fb194e70fe90526871393dcd11097d9

[ "MIT" ]

null

blackfrost_analytics/blackfrost_analytics/doctype/blackfrost_analytics_settings/test_blackfrost_analytics_settings.py

hrazaBFT/blackfrost_analytics

bfe962495fb194e70fe90526871393dcd11097d9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2021, Hasan Raza and Contributors # See license.txt from __future__ import unicode_literals # import frappe import unittest class TestBlackfrostAnalyticsSettings(unittest.TestCase): pass

20.909091

57

0.778261

27

230

6.444444

0.888889

0

0.025126

0.134783

230

10

58

23

0.849246

0.430435

0

1

0

true

0.25

0.5

0

0.75

0

1

0

null

0

null

0

1

0

1

0

5

03f11f7531b9746d3a44d588e157a254de3f9722

36

py

Python

npose_util_pyrosetta/__init__.py

bcov77/npose

0b448b8a5d0ee18f991c9dc00c914def351af548

[ "MIT" ]

1

2021-12-10T02:02:22.000Z

npose_util_pyrosetta/__init__.py

bcov77/npose

0b448b8a5d0ee18f991c9dc00c914def351af548

[ "MIT" ]

null

npose_util_pyrosetta/__init__.py

bcov77/npose

0b448b8a5d0ee18f991c9dc00c914def351af548

[ "MIT" ]

2

2020-05-05T20:03:41.000Z

2020-06-13T15:31:35.000Z

from .npose_util_pyrosetta import *

18

35

0.833333

5

36

5.6

1

0

0.111111

36

1

36

0.875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ff0ba4a03cfcf2e9dbfb67474a4a1086f650ea91

52

py

Python

Dreya/Security/Capture.py

esemve/Dreya

76900d1bdf93fa3f8af35013c897c6f888e7619f

[ "MIT" ]

1

2017-02-05T22:33:37.000Z

Dreya/Security/Capture.py

esemve/Dreya

76900d1bdf93fa3f8af35013c897c6f888e7619f

[ "MIT" ]

null

Dreya/Security/Capture.py

esemve/Dreya

76900d1bdf93fa3f8af35013c897c6f888e7619f

[ "MIT" ]

null

class Capture: def capture(self): pass

10.4

22

0.576923

6

52

5

0.833333

0

0.346154

52

4

23

13

0.882353

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff0e80cad9d0a7793279a546c98f06acbbd6cbcc

393

py

Python

unicode_escape_decode.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

117

2015-12-18T07:18:27.000Z

2022-03-28T00:25:54.000Z

unicode_escape_decode.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

8

2018-10-03T09:38:46.000Z

2021-12-13T19:51:09.000Z

unicode_escape_decode.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

28

2016-08-02T17:43:47.000Z

2022-03-21T08:31:12.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'ipetrash' text = '\u041e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 (username)' import codecs print(codecs.unicode_internal_decode(text)[0]) # Отсутствует обязательный параметр (username)

35.727273

208

0.765903

55

393

5.363636

0.727273

0.067797

0

0.324176

0.073791

393

10

209

39.3

0.486264

0.223919

0

0.25

0.68543

0.615894

0

1

0

false

0

0.25

0

0.25

0

null

0

1

0

1

0

1

null

0

5

ff1d4b9fea676310714144507b555a00bf5c91e3

169

py

Python

bookmyslot/admin.py

varunbkk/myportfolio_bookmyslot

bbada313868a8dd164ab04f868470d2b053d401c

[ "MIT" ]

null

bookmyslot/admin.py

varunbkk/myportfolio_bookmyslot

bbada313868a8dd164ab04f868470d2b053d401c

[ "MIT" ]

null

bookmyslot/admin.py

varunbkk/myportfolio_bookmyslot

bbada313868a8dd164ab04f868470d2b053d401c

[ "MIT" ]

null

from django.contrib import admin from bookmyslot.models import Booking,Customer # Register your models here. admin.site.register(Booking) admin.site.register(Customer)

24.142857

46

0.828402

23

169

6.086957

0.565217

0.128571

0.242857

0

0.094675

169

6

47

28.166667

0.915033

0.153846

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

2079ced8baa9c10c70de9ff12cf52a4e00493905

54

py

Python

fry.py

webbo89/halloween

cec43974e2ec096afd7368099cd6c18548d372f4

[ "MIT" ]

null

fry.py

webbo89/halloween

cec43974e2ec096afd7368099cd6c18548d372f4

[ "MIT" ]

2

2018-10-31T20:02:12.000Z

2018-11-04T02:58:34.000Z

fry.py

webbo89/halloween

cec43974e2ec096afd7368099cd6c18548d372f4

[ "MIT" ]

null

def fry(): print('The eggs have been fried')

6.75

37

0.574074

8

54

3.875

1

0

0.296296

54

7

38

7.714286

0.815789

0

0.489796

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

208fd37389401926732c602ead2d7231ce24c5ee

141

py

Python

test-mock/example5.py

Cheukting/pytest-examples

2b30bd375e02b115fb85463584590816e4b9a932

[ "MIT" ]

null

test-mock/example5.py

Cheukting/pytest-examples

2b30bd375e02b115fb85463584590816e4b9a932

[ "MIT" ]

null

test-mock/example5.py

Cheukting/pytest-examples

2b30bd375e02b115fb85463584590816e4b9a932

[ "MIT" ]

null

from unittest import mock from b import some_func @mock.patch('a.SomeClass') def test_some_func(mock_func): some_func() assert False

20.142857

30

0.758865

23

141

4.434783

0.608696

0.235294

0

0.156028

141

7

31

20.142857

0.857143

0

0.077465

0

0.166667

1

0.166667

false

0

0.333333

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

457dd5186a35362450a41027ddabadee9a984e66

83

py

Python

dashboard/models/__init__.py

muttiopenbts/cascade_spit

27b722390977cb9bd677789617cf049fc5b90539

[ "Apache-2.0" ]

null

dashboard/models/__init__.py

muttiopenbts/cascade_spit

27b722390977cb9bd677789617cf049fc5b90539

[ "Apache-2.0" ]

null

dashboard/models/__init__.py

muttiopenbts/cascade_spit

27b722390977cb9bd677789617cf049fc5b90539

[ "Apache-2.0" ]

null

from .job import Job from .rpc import Rpc from .userpublickey import UserPublicKey

20.75

40

0.819277

12

83

5.666667

0.416667

0

0.144578

83

3

41

27.666667

0.957746

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

45cd09ca63467383a7bc67fdaadb86eca1454a7c

340

py

Python

chrono/refiners/filter.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

20

2016-07-21T11:27:46.000Z

2022-01-30T16:12:46.000Z

chrono/refiners/filter.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

2

2016-11-21T05:46:19.000Z

2019-03-23T06:41:21.000Z

chrono/refiners/filter.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

5

2015-06-28T07:21:31.000Z

2020-07-28T19:54:29.000Z

#!/usr/bin/env python # -*- coding: utf8 -*- from ..parsed_result import ParsedResult from ..parsed_result import ParsedComponent from refiner import Refiner class Filter (Refiner): def verify(self, result): return True def refine(self, results, text, options): return [r for r in results if self.verify(r)]

22.666667

53

0.685294

45

340

5.133333

0.622222

0.08658

0.138528

0.190476

0

0.003731

0.211765

340

14

54

24.285714

0.858209

0.120588

0

1

0.25

false

0

0.375

0.25

1

0

null

0

1

0

null

0

1

0

1

0

5

afd7e3e99c48a97809f791c5d45319f9964b651a

542

py

Python

ABC151-200/ABC195/abc195_c.py

billyio/atcoder

9d16765f91f28deeb7328fcc6c19541ee790941f

[ "MIT" ]

1

2021-02-01T08:48:07.000Z

ABC151-200/ABC195/abc195_c.py

billyio/atcoder

9d16765f91f28deeb7328fcc6c19541ee790941f

[ "MIT" ]

null

ABC151-200/ABC195/abc195_c.py

billyio/atcoder

9d16765f91f28deeb7328fcc6c19541ee790941f

[ "MIT" ]

null

N = int(input()) ans = 0 if N < 10 ** 3: print(0) elif 10 ** 3 <= N < 10 ** 6: print(N - 10 ** 3 + 1) elif 10 ** 6 <= N < 10 ** 9: print(10 ** 6 - 10 ** 3 + (N - 10 ** 6 + 1)*2) elif 10 ** 9 <= N < 10 ** 12: print(10 ** 6 - 10 ** 3 + (10 ** 9 - 10 ** 6)*2 + (N - 10 ** 9 + 1)*3) elif 10 ** 12 <= N < 10 ** 15: print(10 ** 6 - 10 ** 3 + (10 ** 9 - 10 ** 6)*2 + (10 ** 12 - 10 ** 9)*3 + (N - 10 ** 12 + 1)*4) else: print(10 ** 6 - 10 ** 3 + (10 ** 9 - 10 ** 6)*2 + (10 ** 12 - 10 ** 9)*3 + (10 ** 15 - 10 ** 12)*4 + 5)

36.133333

108

0.361624

107

542

1.831776

0.17757

0.153061

0.163265

0.204082

0.469388

0.357143

0

0.347458

0.346863

542

15

108

36.133333

0.206215

0

1

0

false

0

0.428571

0

1

null

0

1

0

1

0

1

0

null

0

1

0

5

affefca91e256d401fec78e3110721d28e53e165

66

py

Python

fissix/__main__.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

32

2018-07-07T23:55:16.000Z

2022-01-31T03:47:51.000Z

fissix/__main__.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

35

2018-09-18T22:58:16.000Z

2021-11-13T23:28:21.000Z

fissix/__main__.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

18

2018-09-21T11:46:32.000Z

2021-11-26T18:08:37.000Z

import sys from .main import main sys.exit(main("fissix.fixes"))

13.2

30

0.742424

11

66

4.454545

0.636364

0

0.121212

66

4

31

16.5

0.844828

0

0.181818

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b309dd29bad83acb06b9accf489079aaba6588c6

20

py

Python

new.py

pjp8yf/cs3240-labdemo

23e56df20183795065f0d368be4f0b1d6f63bb18

[ "MIT" ]

null

new.py

pjp8yf/cs3240-labdemo

23e56df20183795065f0d368be4f0b1d6f63bb18

[ "MIT" ]

null

new.py

pjp8yf/cs3240-labdemo

23e56df20183795065f0d368be4f0b1d6f63bb18

[ "MIT" ]

null

print ("new branch")

20

0.7

3

20

4.666667

1

0

0.1

20

1

20

0.777778

0

0.47619

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2fa3d9dca0dd00879209e5fee9cf6e72761fd389

115

py

Python

cloudentries/fusioncompute/lifecycles/fc_rest_client/common/__init__.py

CloudChef/CloudEntries

a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd

[ "Apache-2.0" ]

null

cloudentries/fusioncompute/lifecycles/fc_rest_client/common/__init__.py

CloudChef/CloudEntries

a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd

[ "Apache-2.0" ]

null

cloudentries/fusioncompute/lifecycles/fc_rest_client/common/__init__.py

CloudChef/CloudEntries

a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd

[ "Apache-2.0" ]

1

2021-03-26T05:45:00.000Z

28.75

57

0.765217

14

115

6.285714

1

0

0.041237

0.156522

115

3

58

38.333333

0.865979

0.504348

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2fb7f567bd14d7a071a0487cc4777ee410fb97c6

220

py

Python

receipt_split/helpers.py

isaaclo123/reciept-split

331a6f16c05d2ee77a2668060c062cbd836939e4

[ "CC-BY-3.0" ]

1

2020-06-27T21:43:56.000Z

receipt_split/helpers.py

isaaclo123/reciept-split

331a6f16c05d2ee77a2668060c062cbd836939e4

[ "CC-BY-3.0" ]

1

2021-03-27T20:26:04.000Z

receipt_split/helpers.py

isaaclo123/reciept-split

331a6f16c05d2ee77a2668060c062cbd836939e4

[ "CC-BY-3.0" ]

null

def ok(msg): """OK message :msg: TODO :returns: TODO """ return {"message": str(msg)} def err(msg): """Error message :msg: TODO :returns: TODO """ return {"error": str(msg)}

11.578947

32

0.5

26

220

4.230769

0.384615

0.181818

0.254545

0.381818

0.563636

0

0.318182

220

18

33

12.222222

0.733333

0.354545

0

0.116505

0

0.222222

0

1

0.5

false

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2fb80d725a7ccc6993867726b137062c62503e12

117

py

Python

tests/dependency-classic/setup.py

benbacardi/poetry-dynamic-versioning

343c782ad72ceb42b155adf92b64af01750d4632

[ "MIT" ]

266

2019-06-11T14:49:44.000Z

2022-03-31T16:41:28.000Z

tests/dependency-classic/setup.py

benbacardi/poetry-dynamic-versioning

343c782ad72ceb42b155adf92b64af01750d4632

[ "MIT" ]

70

2019-09-02T17:23:57.000Z

2022-03-18T17:37:13.000Z

tests/dependency-classic/setup.py

benbacardi/poetry-dynamic-versioning

343c782ad72ceb42b155adf92b64af01750d4632

[ "MIT" ]

20

2019-11-28T10:32:15.000Z

2022-02-22T17:19:32.000Z

from setuptools import setup setup(name="dependency-classic", version="0.0.666", py_modules=["dependency_classic"])

29.25

86

0.777778

16

117

5.5625

0.75

0.382022

0

0.045872

0.068376

117

3

87

39

0.770642

0

0.367521

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

2fecabe320f42d81bb34bf9a720dd120257db319

92

py

Python

setup.py

dheepdatascigit/pdclean

688185d70511094d24db8c7e3043150ea266ce08

[ "MIT" ]

null

setup.py

dheepdatascigit/pdclean

688185d70511094d24db8c7e3043150ea266ce08

[ "MIT" ]

null

setup.py

dheepdatascigit/pdclean

688185d70511094d24db8c7e3043150ea266ce08

[ "MIT" ]

null

from setuptools import setup, find_packages setup(name="pdtools", packages=find_packages())

30.666667

47

0.815217

12

92

6.083333

0.666667

0.328767

0

0.076087

92

3

47

30.666667

0.858824

0

0.075269

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

64234d92ff5b2fb9becec317149789cb18bf7a03

108

py

Python

pysparkle/frontend/__init__.py

macdems/pysparkle

7d6018e5f2010d6a79fe71bc972bd29c61a113bc

[ "MIT" ]

1

2015-12-19T19:25:15.000Z

pysparkle/frontend/__init__.py

macdems/pysparkle

7d6018e5f2010d6a79fe71bc972bd29c61a113bc

[ "MIT" ]

null

pysparkle/frontend/__init__.py

macdems/pysparkle

7d6018e5f2010d6a79fe71bc972bd29c61a113bc

[ "MIT" ]

null

36

61

0.759259

17

108

4.823529

0.823529

0.243902

0

0.085106

0.12963

108

2

62

54

0.787234

0.953704

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

642d45a7c0bbac137d56c32f85e8564e4375cfce

5,278

py

Python

tests/apps/slack_integration/slash_command_test.py

BinSquare/busy-beaver

b8063a7e434eb47e638697719896880781f9783f

[ "MIT" ]

null

tests/apps/slack_integration/slash_command_test.py

BinSquare/busy-beaver

b8063a7e434eb47e638697719896880781f9783f

[ "MIT" ]

null

tests/apps/slack_integration/slash_command_test.py

BinSquare/busy-beaver

b8063a7e434eb47e638697719896880781f9783f

[ "MIT" ]

null

import pytest from busy_beaver.apps.slack_integration.slash_command import ( command_not_found, disconnect_github, display_help_text, link_github, next_event, relink_github, upcoming_events, ) from busy_beaver.config import FULL_INSTALLATION_WORKSPACE_IDS from busy_beaver.models import GitHubSummaryUser pytest_plugins = ("tests._utilities.fixtures.slack",) ######################## # Miscellaneous Commands ######################## @pytest.mark.unit def test_command_help(generate_slash_command_request): data = generate_slash_command_request("help") result = display_help_text(**data) assert "/busybeaver help" in result["text"] @pytest.mark.unit def test_command_not_found(generate_slash_command_request): data = generate_slash_command_request(command="blah") result = command_not_found(**data) assert "/busybeaver help" in result["text"] ########################################## # Associate GitHub account with Slack user ########################################## @pytest.mark.unit def test_connect_command_new_user(session, factory, generate_slash_command_request): install = factory.SlackInstallation() data = generate_slash_command_request( "connect", user_id="new_user", team_id=install.workspace_id ) result = link_github(**data) slack_response = result["attachments"][0] assert "Associate GitHub Profile" in slack_response["actions"][0]["text"] @pytest.mark.unit def test_connect_command_existing_user( session, factory, generate_slash_command_request ): user = factory.GitHubSummaryUser(slack_id="existing_user") data = generate_slash_command_request( "connect", user_id=user.slack_id, team_id=user.installation.workspace_id ) result = link_github(**data) assert "/busybeaver reconnect" in result["text"] @pytest.mark.unit def test_reconnect_command_new_user(session, factory, generate_slash_command_request): install = factory.SlackInstallation() data = generate_slash_command_request( "reconnect", user_id="new_user", team_id=install.workspace_id ) result = relink_github(**data) slack_response = result["attachments"][0] assert "Associate GitHub Profile" in slack_response["actions"][0]["text"] @pytest.mark.unit def test_reconnect_command_existing_user( session, factory, generate_slash_command_request ): user = factory.GitHubSummaryUser(slack_id="existing_user") data = generate_slash_command_request( "reconnect", user_id=user.slack_id, team_id=user.installation.workspace_id ) result = relink_github(**data) slack_response = result["attachments"][0] assert "Associate GitHub Profile" in slack_response["actions"][0]["text"] @pytest.mark.unit def test_disconnect_command_unregistered_user( session, factory, generate_slash_command_request ): install = factory.SlackInstallation() data = generate_slash_command_request("disconnect", team_id=install.workspace_id) result = disconnect_github(**data) assert "No GitHub account associated with profile" in result["text"] @pytest.mark.unit def test_disconnect_command_registered_user( session, factory, generate_slash_command_request ): user = factory.GitHubSummaryUser(slack_id="existing_user") data = generate_slash_command_request( "disconnect", user_id=user.slack_id, team_id=user.installation.workspace_id ) result = disconnect_github(**data) assert "Account has been deleted" in result["text"] assert not GitHubSummaryUser.query.get(user.id) ######################### # Upcoming Event Schedule ######################### @pytest.mark.end2end def test_command_next_workspace_not_allowed( session, factory, generate_slash_command_request ): factory.Event.create_batch(size=10) data = generate_slash_command_request("next", team_id="not allowed") result = next_event(**data) assert "command not supported" in result["text"].lower() @pytest.mark.end2end def test_command_next_workspace_allowed( session, factory, generate_slash_command_request ): factory.Event.create_batch(size=10) workspace_id = FULL_INSTALLATION_WORKSPACE_IDS[0] data = generate_slash_command_request("next", team_id=workspace_id) result = next_event(**data) assert result["response_type"] == "ephemeral" assert result["attachments"] assert not result["blocks"] assert not result["text"] @pytest.mark.end2end def test_command_events_workspace_not_allowed( session, factory, generate_slash_command_request ): factory.Event.create_batch(size=10) data = generate_slash_command_request("events", team_id="not_allowed") result = upcoming_events(**data) assert "command not supported" in result["text"].lower() @pytest.mark.end2end def test_command_events_workspace_allowed( session, factory, generate_slash_command_request ): factory.Event.create_batch(size=10) workspace_id = FULL_INSTALLATION_WORKSPACE_IDS[0] data = generate_slash_command_request("events", team_id=workspace_id) result = upcoming_events(**data) assert result["response_type"] == "ephemeral" assert result["blocks"] assert not result["attachments"] assert not result["text"]

29.160221

86

0.730011

633

5,278

5.759874

0.139021

0.082282

0.131651

0.177729

0.834888

0.778387

0.7548

0.709819

0.59819

0.566374

0

0.004409

0.140584

5,278

180

87

29.322222

0.799383

0.016484

0

0.570248

0

0.11988

0.006194

0

0.157025

1

0.099174

false

0

0.033058

0

0.132231

0

null

0

1

0

null

0

5

643a178b200206705476e101175f6f97ed9e858d

132

py

Python

src/io.py

tbjohns/python-util

b7115f78a12d1dff7227f46a046b9edde28fa2a9

[ "MIT" ]

null

src/io.py

tbjohns/python-util

b7115f78a12d1dff7227f46a046b9edde28fa2a9

[ "MIT" ]

null

src/io.py

tbjohns/python-util

b7115f78a12d1dff7227f46a046b9edde28fa2a9

[ "MIT" ]

null

import cPickle def pickle(obj, path): cPickle.dump(obj, open(path, "w")) def unpickle(path): return cPickle.load(open(path))

14.666667

36

0.69697

20

132

4.6

0.6

0.173913

0

0.143939

132

8

37

16.5

0.814159

0

0.007634

0

1

0.4

false

0

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ff7d241b47059bdafd3cd790fe33c5aab2294ede

149

py

Python

cowsay_app/admin.py

BethanyFolino/cowsay

0608eff760adc29f32db3a4868e9fcfb57c8992b

[ "MIT" ]

null

cowsay_app/admin.py

BethanyFolino/cowsay

0608eff760adc29f32db3a4868e9fcfb57c8992b

[ "MIT" ]

null

cowsay_app/admin.py

BethanyFolino/cowsay

0608eff760adc29f32db3a4868e9fcfb57c8992b

[ "MIT" ]

null

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

29.8

47

0.852349

19

149

6.631579

0.684211

0

0.09396

149

5

48

29.8

0.933333

0.174497

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff85f65052328b15ec8cb818ec43b859f19cd08c

91

py

Python

src/SEIRcity/cli/ptypes/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

1

2021-02-04T14:59:32.000Z

src/SEIRcity/cli/ptypes/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

null

src/SEIRcity/cli/ptypes/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

null

"""Parameter types """ from .input import * from .param import * from .composite import *

13

24

0.692308

11

91

5.727273

0.636364

0.31746

0

0.175824

91

6

25

15.166667

0.84

0.164835

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ff9a8bad5cfaa702fb8947ef6c59579a3d784f45

310

py

Python

api/models.py

nikochiko/server

299953687be7adbd35df608b288546c8df90371c

[ "MIT" ]

43

2018-05-23T10:03:40.000Z

2021-09-02T15:55:52.000Z

api/models.py

nikochiko/server

299953687be7adbd35df608b288546c8df90371c

[ "MIT" ]

141

2018-05-24T16:03:12.000Z

2021-04-30T23:47:59.000Z

api/models.py

nikochiko/server

299953687be7adbd35df608b288546c8df90371c

[ "MIT" ]

77

2018-06-13T13:51:31.000Z

2021-06-16T16:10:18.000Z

from api.modules.city.model import City, CityFact, CityImage, CityVisitLog from api.modules.trips.model import Trip from api.modules.feedback.model import Feedback from api.modules.users.model import Profile, PasswordVerification from api.modules.notification.model import Notification, NotificationTypeChoice

51.666667

79

0.854839

40

310

6.625

0.425

0.132075

0.264151

0

0.080645

310

5

80

62

0.929825

0

1

0

true

0.2

1

0

1

0

null

0

1

0

1

0

null

0

1

0

5

4428743c6625514a61bae6401758d954b54c190f

4,226

py

Python

Testing/test_Timoshenko.py

JWock82/PyNite

4338f92dd981ca0cc275799ee5727a49d0e3d2d1

[ "MIT" ]

199

2019-04-12T05:30:43.000Z

2022-03-29T23:42:01.000Z

Testing/test_Timoshenko.py

mohashrafy/PyNite

efffccdbff6727d3b271ba2937e35892d9df8c00

[ "MIT" ]

103

2019-07-22T19:41:26.000Z

2022-03-31T22:18:32.000Z

Testing/test_Timoshenko.py

mohashrafy/PyNite

efffccdbff6727d3b271ba2937e35892d9df8c00

[ "MIT" ]

69

2019-02-07T12:02:01.000Z

2022-03-24T13:24:38.000Z

import unittest from PyNite import FEModel3D from PyNite.Mesh import FrustrumMesh, CylinderMesh, RectangleMesh import math import sys from io import StringIO class Test_Timoshenko(unittest.TestCase): # Tests against problems with known solutions from `Theory of Plates & Shells` by Timoshenko def setUp(self): # Suppress printed output temporarily sys.stdout = StringIO() def tearDown(self): # Reset the print function to normal behavior sys.stdout = sys.__stdout__ def test_hydrostatic_plate(self): # Establish problem parameters t = 1 # ft E = 57000*math.sqrt(4500)*12**2 # psf nu = 1/6 mesh_size = 1 # ft a = 10 # ft b = 15 # ft # Generate the mesh of plates plate_mesh = RectangleMesh(t, E, nu, mesh_size, a, b, element_type='Rect') plate_mesh.generate() # Create the model and add the plates plate_model = FEModel3D() plate_model.add_mesh(plate_mesh) # Add supports to the sides and base of the wall for node in plate_model.Nodes.values(): if node.X == 0 or node.X == a or node.Y == 0: plate_model.def_support(node.Name, True, True, True, True, True, True) # Add hydrostatic loads to the elements for element in plate_model.Plates.values(): Yavg = (element.i_node.Y + element.j_node.Y + element.m_node.Y + element.n_node.Y)/4 p = 62.4*(b - Yavg) plate_model.add_plate_surface_pressure(element.Name, p, 'Hydrostatic') # Add a load combination to the model plate_model.add_load_combo('F', {'Hydrostatic': 1.0}) # Analyze the model plate_model.analyze() # Get the maximum deflection in the model at the top of the wall DZ_calcd = max([node.DZ['F'] for node in plate_model.Nodes.values() if node.Y == b]) # Find the maximum deflection at the top of the wall from Timoshenko's Table 45 q = 62.4*b D = E*t**3/(12*(1 - nu**2)) DZ_expected = 0.00042*q*a**4/D # Check that the PyNite calculated values are within 15% of the Timoshenko calculated # values. self.assertLess(abs(DZ_calcd/DZ_expected - 1), 0.15, 'Failed Timoshenko rectangle hydrostatic test.') def test_hydrostatic_quad(self): # Establish problem parameters t = 1 # ft E = 57000*math.sqrt(4500)*12**2 # psf nu = 1/6 mesh_size = 1 # ft a = 10 # ft b = 15 # ft # Generate the mesh of plates plate_mesh = RectangleMesh(t, E, nu, mesh_size, a, b, element_type='Quad') plate_mesh.generate() # Create the model and add the plates plate_model = FEModel3D() plate_model.add_mesh(plate_mesh) # Add supports to the sides and base of the wall for node in plate_model.Nodes.values(): if node.X == 0 or node.X == a or node.Y == 0: plate_model.def_support(node.Name, True, True, True, True, True, True) # Add hydrostatic loads to the elements for element in plate_model.Quads.values(): Yavg = (element.i_node.Y + element.j_node.Y + element.m_node.Y + element.n_node.Y)/4 p = 62.4*(b - Yavg) plate_model.add_quad_surface_pressure(element.Name, p, 'Hydrostatic') # Add a load combination to the model plate_model.add_load_combo('F', {'Hydrostatic': 1.0}) # Analyze the model plate_model.analyze() # Get the maximum deflection in the model at the top of the wall DZ_calcd = max([node.DZ['F'] for node in plate_model.Nodes.values() if node.Y == b]) # Find the maximum deflection at the top of the wall from Timoshenko's Table 45 q = 62.4*b D = E*t**3/(12*(1 - nu**2)) DZ_expected = 0.00042*q*a**4/D # Check that the PyNite calculated values are within 15% of the Timoshenko calculated # values. self.assertLess(abs(DZ_calcd/DZ_expected - 1), 0.15, 'Failed Timoshenko quadrilateral hydrostatic test.')

37.732143

117

0.605064

607

4,226

4.098847

0.2257

0.072347

0.038585

0.799035

0

0.035581

0.301704

4,226

111

118

38.072072

0.807523

0.267866

0

0.655738

0

0.049052

0

0.032787

1

0.065574

false

0

0.098361

0

0.180328

0

null

0

1

0

null

0

5

443893a90c52b21bd2c1099c0d7a63d6618d0ef5

38

py

Python

jsnapshot_cron/__init__.py

melianmiko/JustSnapshot

4e0fd76c66c81113f7507944a6719607945be50d

[ "BSD-2-Clause" ]

1

2022-01-25T19:34:30.000Z

jsnapshot_cron/__init__.py

melianmiko/JustSnapshot

4e0fd76c66c81113f7507944a6719607945be50d

[ "BSD-2-Clause" ]

null

jsnapshot_cron/__init__.py

melianmiko/JustSnapshot

4e0fd76c66c81113f7507944a6719607945be50d

[ "BSD-2-Clause" ]

null

"""This is CLI module for cron job"""

19

37

0.657895

7

38

3.571429

1

0

0.184211

38

1

38

0.806452

0.815789

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

444524c5ac7008a2aa87fd83dea7dd4325dd8101

39

py

Python

ex02/name.py

CoderDojo-Karlskrona/python-exercises

b22dd8a642b67d1c18790643718f133d7fc470fe

[ "Apache-2.0" ]

null

ex02/name.py

CoderDojo-Karlskrona/python-exercises

b22dd8a642b67d1c18790643718f133d7fc470fe

[ "Apache-2.0" ]

null

ex02/name.py

CoderDojo-Karlskrona/python-exercises

b22dd8a642b67d1c18790643718f133d7fc470fe

[ "Apache-2.0" ]

null

print "Peter Nerg" print "supergammal"

13

19

0.769231

5

39

6

0.8

0

0.128205

39

2

20

19.5

0.882353

0

0.538462

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

448111ab9c798457c5e1f7c0810b78dc20e53908

6,189

py

Python

tests/test_api_functional.py

Zenlytic/granite

93cc523954b1b900d7893af803a8fb3e5fc7d343

[ "Apache-2.0" ]

null

tests/test_api_functional.py

Zenlytic/granite

93cc523954b1b900d7893af803a8fb3e5fc7d343

[ "Apache-2.0" ]

null

tests/test_api_functional.py

Zenlytic/granite

93cc523954b1b900d7893af803a8fb3e5fc7d343

[ "Apache-2.0" ]

null

import pandas as pd from metrics_layer.core.model import Project from metrics_layer.core.parse import MetricsLayerConfiguration from metrics_layer.core.sql import QueryRunner def test_api_query(client, monkeypatch, models, views, add_user_and_get_auth): _, token = add_user_and_get_auth("query@test.com", "test") repo_config = {"repo_url": "https://github.com", "branch": "dev", "repo_type": "metrics_layer"} connections = [ { "type": "SNOWFLAKE", "name": "sf_name", "account": "sf_account", "username": "sf_username", "password": "sf_password", }, { "type": "BIGQUERY", "name": "bq_name", "credentials": '{"key": "value", "project_id": "test-1234"}', }, ] config = MetricsLayerConfiguration(repo_config=repo_config, connections=connections) # Add reference to snowflake creds sf_models = [{**m, "connection": "sf_name"} for m in models] project = Project(models=sf_models, views=views, looker_env="prod") config._project = project monkeypatch.setattr( MetricsLayerConfiguration, "get_metrics_layer_configuration", lambda *args, **kwargs: config ) correct_df = pd.DataFrame({"dimension": ["cat1", "cat2", "cat3"], "metric": [12, 21, 34]}) monkeypatch.setattr(QueryRunner, "_run_snowflake_query", lambda *args, **kwargs: correct_df) query_args = {"metrics": ["total_item_revenue"], "dimensions": ["channel"]} response = client.post(f"api/v1/query", json=query_args, headers={"Authorization": f"Bearer {token}"}) data = response.get_json() assert data["data"] == correct_df.to_dict("records") def test_api_convert_sql(client, monkeypatch, models, views, add_user_and_get_auth): _, token = add_user_and_get_auth("convert@test.com", "test") repo_config = {"repo_url": "https://github.com", "branch": "dev", "repo_type": "metrics_layer"} connections = [ { "type": "SNOWFLAKE", "name": "sf_name", "account": "sf_account", "username": "sf_username", "password": "sf_password", }, { "type": "BIGQUERY", "name": "bq_name", "credentials": '{"key": "value", "project_id": "test-1234"}', }, ] config = MetricsLayerConfiguration(repo_config=repo_config, connections=connections) # Add reference to snowflake creds sf_models = [{**m, "connection": "sf_name"} for m in models] project = Project(models=sf_models, views=views, looker_env="prod") config._project = project monkeypatch.setattr( MetricsLayerConfiguration, "get_metrics_layer_configuration", lambda *args, **kwargs: config ) mql_query = "SELECT * FROM MQL(total_item_revenue BY channel)" response = client.post( f"api/v1/convert", json={"query": mql_query}, headers={"Authorization": f"Bearer {token}"} ) data = response.get_json() correct = ( "SELECT * FROM (SELECT order_lines.sales_channel as order_lines_channel,SUM(order_lines.revenue) as " "order_lines_total_item_revenue FROM analytics.order_line_items order_lines " "GROUP BY order_lines.sales_channel);" ) assert data["data"] == correct def test_api_list_metrics(client, monkeypatch, project, add_user_and_get_auth): _, token = add_user_and_get_auth("list_metrics@test.com", "test") monkeypatch.setenv("METRICS_LAYER_REPO_URL", "https://github.com") monkeypatch.setenv("METRICS_LAYER_BRANCH", "dev") monkeypatch.setenv("METRICS_LAYER_REPO_TYPE", "metrics_layer") monkeypatch.setattr(MetricsLayerConfiguration, "_get_project", lambda *args, **kwargs: project) response = client.get(f"api/v1/metrics", headers={"Authorization": f"Bearer {token}"}) data = response.get_json() assert len(data["data"]) == 18 def test_api_list_dimensions(client, monkeypatch, project, add_user_and_get_auth): _, token = add_user_and_get_auth("list_dimensions@test.com", "test") monkeypatch.setenv("METRICS_LAYER_REPO_URL", "https://github.com") monkeypatch.setenv("METRICS_LAYER_BRANCH", "dev") monkeypatch.setenv("METRICS_LAYER_REPO_TYPE", "metrics_layer") monkeypatch.setattr(MetricsLayerConfiguration, "_get_project", lambda *args, **kwargs: project) response = client.get(f"api/v1/dimensions", headers={"Authorization": f"Bearer {token}"}) data = response.get_json() assert len(data["data"]) == 27 def test_api_get_metric(client, monkeypatch, project, add_user_and_get_auth): _, token = add_user_and_get_auth("get_metric@test.com", "test") monkeypatch.setenv("METRICS_LAYER_REPO_URL", "https://github.com") monkeypatch.setenv("METRICS_LAYER_BRANCH", "dev") monkeypatch.setenv("METRICS_LAYER_REPO_TYPE", "metrics_layer") monkeypatch.setattr(MetricsLayerConfiguration, "_get_project", lambda *args, **kwargs: project) response = client.get(f"api/v1/metrics/total_item_revenue", headers={"Authorization": f"Bearer {token}"}) data = response.get_json() assert isinstance(data["data"], dict) assert data["data"]["name"] == "total_item_revenue" assert data["data"]["sql_raw"] == "${TABLE}.revenue" assert data["data"]["type"] == "sum" assert data["data"]["field_type"] == "measure" def test_api_get_dimension(client, monkeypatch, project, add_user_and_get_auth): _, token = add_user_and_get_auth("get_dimension@test.com", "test") monkeypatch.setenv("METRICS_LAYER_REPO_URL", "https://github.com") monkeypatch.setenv("METRICS_LAYER_BRANCH", "dev") monkeypatch.setenv("METRICS_LAYER_REPO_TYPE", "metrics_layer") monkeypatch.setattr(MetricsLayerConfiguration, "_get_project", lambda *args, **kwargs: project) response = client.get(f"api/v1/dimensions/new_vs_repeat", headers={"Authorization": f"Bearer {token}"}) data = response.get_json() assert isinstance(data["data"], dict) assert data["data"]["name"] == "new_vs_repeat" assert data["data"]["sql_raw"] == "${TABLE}.new_vs_repeat" assert data["data"]["type"] == "string" assert data["data"]["field_type"] == "dimension"

41.536913

109

0.677169

739

6,189

5.385656

0.163735

0.069347

0.030151

0.039196

0.775879

0.764322

0.742714

0.727136

0.714322

0

0.005271

0.172403

6,189

148

110

41.817568

0.771769

0.010503

0

0.495575

0

0.319556

0.092959

0

0.123894

1

0.053097

false

0.017699

0.035398

0

0.088496

0

null

0

1

0

null

0

5

926014d93bd038af4a6058f1c5764e6513407f20

71

py

Python

helpers.py

georgknabl/human-password-classifier

14470998e2e05fc5c61776250c4edb0edb397fd0

[ "MIT" ]

5

2018-11-09T08:08:26.000Z

2021-08-09T10:03:36.000Z

helpers.py

georgknabl/human-password-classifier

14470998e2e05fc5c61776250c4edb0edb397fd0

[ "MIT" ]

null

helpers.py

georgknabl/human-password-classifier

14470998e2e05fc5c61776250c4edb0edb397fd0

[ "MIT" ]

2

2018-11-14T18:47:06.000Z

2020-12-15T07:36:03.000Z

def tokenizer(text): # character-based tokens return list(text)

23.666667

28

0.704225

9

71

5.555556

0.888889

0

0.197183

71

3

29

23.666667

0.877193

0.309859

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

92b47758e4106dc31aea5a6145c188bca6cb114e

358

py

Python

tests/pymath/test_population_growth.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

3

2017-05-02T10:28:13.000Z

2019-02-06T09:10:11.000Z

tests/pymath/test_population_growth.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

2

2017-06-21T20:39:14.000Z

2020-02-25T10:28:57.000Z

tests/pymath/test_population_growth.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

2

2016-07-29T04:35:22.000Z

2017-01-18T17:05:36.000Z

import unittest from pymath.population_growth import nb_year class Tests(unittest.TestCase): def test_1(self): self.assertEqual(nb_year(1500, 5, 100, 5000), 15) def test_2(self): self.assertEqual(nb_year(1500000, 2.5, 10000, 2000000), 10) def test_3(self): self.assertEqual(nb_year(1500000, 0.25, 1000, 2000000), 94)

23.866667

67

0.684358

54

358

4.388889

0.574074

0.101266

0.240506

0.265823

0.375527

0.270042

0

0.21875

0.195531

358

14

68

25.571429

0.604167

0

0.333333

1

0.333333

false

0

0.222222

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2ba8442b4c6e36c13ad1f34ad78b9bb605f70fd7

72

py

Python

ex2.py

MayThuHtun/python-exercises

0f4e85aa9d78855bfdb5c04ff9278799c338e0e5

[ "MIT" ]

null

ex2.py

MayThuHtun/python-exercises

0f4e85aa9d78855bfdb5c04ff9278799c338e0e5

[ "MIT" ]

null

ex2.py

MayThuHtun/python-exercises

0f4e85aa9d78855bfdb5c04ff9278799c338e0e5

[ "MIT" ]

null

print("I could have code like this.") print("This will run this text.")

24

37

0.708333

13

72

3.923077

0.769231

0

0.152778

72

2

38

36

0.836066

0

0.722222

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2bae6d5aa43b5cc99b94417ab86dbdf6ef7e65cf

159

py

Python

misago/misago/cache/apps.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

2

2021-03-06T21:06:13.000Z

2021-03-09T15:05:12.000Z

misago/misago/cache/apps.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

null

misago/misago/cache/apps.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

null

from django.apps import AppConfig class MisagoCacheConfig(AppConfig): name = "misago.cache" label = "misago_cache" verbose_name = "Misago Cache"

19.875

35

0.72327

18

159

6.277778

0.666667

0.292035

0.265487

0

0.188679

159

7

36

22.714286

0.875969

0

0.226415

0

1

0

false

0

0.2

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

2bf1ef64588e8705c51f6e684139279d7b319a53

139

py

Python

dvc/dependency/gs.py

kaiogu/dvc

ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7

[ "Apache-2.0" ]

3

2020-01-31T05:33:14.000Z

2021-05-20T08:19:25.000Z

dvc/dependency/gs.py

kaiogu/dvc

ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7

[ "Apache-2.0" ]

null

dvc/dependency/gs.py

kaiogu/dvc

ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7

[ "Apache-2.0" ]

null

from dvc.dependency.base import DependencyBase from dvc.output.gs import OutputGS class DependencyGS(DependencyBase, OutputGS): pass

19.857143

46

0.81295

17

139

6.647059

0.705882

0.123894

0

0.129496

139

6

47

23.166667

0.933884

0

1

0

true

0.25

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

5

2bf39b1100e99a03e4f6d672181c864c68370538

46

py

Python

minos/api_gateway/discovery/database/__init__.py

Clariteia/discovery

e1ae93a1e9cc12f345fd01bd7feef46e28de125d

[ "MIT" ]

3

2021-05-14T09:11:21.000Z

2021-10-04T08:37:51.000Z

minos/api_gateway/discovery/database/__init__.py

Clariteia/discovery

e1ae93a1e9cc12f345fd01bd7feef46e28de125d

[ "MIT" ]

45

2021-05-14T08:46:58.000Z

2022-01-27T13:00:45.000Z

minos/api_gateway/discovery/database/__init__.py

Clariteia/discovery

e1ae93a1e9cc12f345fd01bd7feef46e28de125d

[ "MIT" ]

1

2022-03-03T10:32:55.000Z

from .client import ( MinosRedisClient, )

11.5

21

0.695652

4

46

8

1

0

0.217391

46

3

22

15.333333

0.888889

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

5

92180338667153c14f6a78952d4a7a68212e5f2d

7,479

py

Python

velos.py

fsiamp/velos-generator

2faf82a508ab6b1f07edce23a2e3402ff35b165b

[ "MIT" ]

5

2018-01-04T06:46:39.000Z

2018-08-12T08:00:21.000Z

velos.py

fsiamp/velos-generator

2faf82a508ab6b1f07edce23a2e3402ff35b165b

[ "MIT" ]

2

2016-09-17T06:48:44.000Z

2016-09-17T08:10:24.000Z

velos.py

fsiamp/velos

2faf82a508ab6b1f07edce23a2e3402ff35b165b

[ "MIT" ]

null

#!/usr/bin/python import random import decimal import time from random import randint attack = ['attempted-admin','attempted-user','inappropriate-content','policy-violationn','shellcode-detect','successful-admin','successful-user', 'trojan-activity','unsuccessful-user','web-application-attack','attempted-dos','attempted-recon','bad-unknown','default-login-attempt','denial-of-service','misc-attack','non-standard-protocol','rpc-portmap-decode','successful-dos','successful-recon-largescale', 'successful-recon-limited','suspicious-filename-detect','suspicious-login','system-call-detect','unusual-client-port-connection','web-application-activity','icmp-event','misc-activity','network-scan','not-suspicious','protocol-command-decode','string-detect','unknown','tcp-connection', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal', 'normal'] protocol = [ 'tcp', 'udp','icmp'] service = ['aol', 'auth', 'bgp', 'courier', 'csnet_ns', 'ctf', 'daytime', 'discard', 'domain', 'domain_u', 'echo', 'eco_i', 'ecr_i', 'efs', 'exec', 'finger', 'ftp', 'ftp_data', 'gopher', 'harvest', 'hostnames', 'http', 'http_2784', 'http_443', 'http_8001', 'imap4', 'IRC', 'iso_tsap', 'klogin', 'kshell', 'ldap', 'link', 'login', 'mtp', 'name', 'netbios_dgm', 'netbios_ns', 'netbios_ssn', 'netstat', 'nnsp', 'nntp', 'ntp_u', 'other', 'pm_dump', 'pop_2', 'pop_3', 'printer', 'private', 'red_i', 'remote_job', 'rje', 'shell', 'smtp', 'sql_net', 'ssh', 'sunrpc', 'supdup', 'systat', 'telnet', 'tftp_u', 'tim_i', 'time', 'urh_i', 'urp_i', 'uucp', 'uucp_path', 'vmnet', 'whois', 'X11', 'Z39_50'] flag = [ 'OTH', 'REJ', 'RSTO', 'RSTOS0', 'RSTR', 'S0', 'S1', 'S2', 'S3', 'SF', 'SH' ] counter2 = randint(100,2000) print '\r' var = randint(3000,8000) print 'Generating Dataset ...' print '\r' time.sleep(1) count = 1 file1 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file2 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file3 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file4 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file5 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file6 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file7 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file8 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file9 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") file10 = random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXZ0123456789") f = open('datasets/' + file1 + file2 + file3 + file4 + file5 + file6 + file7 + file8 + file9 + file10 + '.data','w') while (count <= var): duration = str(randint(0,255)) src_bytes = str(randint(0,255)) dst_bytes = str(randint(0,255)) land = str(randint(0,1)) wrong_fragment = str(randint(0,255)) urgent = str(randint(0,255)) hot = str(randint(0,255)) num_failed_logins = str(randint(0,255)) logged_in = str(randint(0,1)) num_compromised = str(randint(0,255)) root_shell = str(randint(0,155)) su_attempted = str(randint(0,99255)) num_root = str(randint(0,99255)) num_file_creations = str(randint(0,99255)) num_shells = str(randint(0,99255)) num_access_files = str(randint(0,99255)) num_outbound_cmds = str(randint(0,700)) is_host_login = str(randint(0,1)) is_guest_login = str(randint(0,1)) countz= str(randint(0,1000)) srv_count = str(randint(0,1000)) serror_rate = str(randint(0,100)/100) srv_serror_rate = str(decimal.Decimal(random.randrange(100))/100) rerror_rate = str(decimal.Decimal(random.randrange(100))/100) srv_rerror_rate = str(decimal.Decimal(random.randrange(100))/100) src_port= str(randint(0,65535)) dst_port= str(randint(0,65535)) average_rtt = str(randint(0,500)) iplen = str(randint(0,400)) ethlen = str(randint(0,400)) stan_dev_rtt = str(randint(0,500)) same_srv_rate = str(decimal.Decimal(random.randrange(100))/100) diff_srv_rate = str(decimal.Decimal(random.randrange(100))/100) srv_diff_host_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_count = str(randint(0,1000)) dst_host_srv_count = str(randint(0,1000)) dst_host_same_srv_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_diff_srv_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_same_src_port_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_srv_diff_host_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_serror_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_srv_serror_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_rerror_rate = str(decimal.Decimal(random.randrange(100))/100) dst_host_srv_rerror_rate = str(decimal.Decimal(random.randrange(100))/100) capture = duration + ',' + random.choice(protocol) + ',' + random.choice(flag) + ',' + src_bytes + ',' + dst_bytes + ',' + land + ',' + wrong_fragment + ',' + urgent + ',' + hot + ',' + num_failed_logins + ',' + logged_in + ',' + num_compromised + ',' + root_shell + ',' + su_attempted + ',' + random.choice(service) + ',' + num_root + ',' + num_file_creations + ',' + num_shells + ',' + num_access_files + ',' + num_outbound_cmds + ',' + is_host_login + ',' + is_guest_login + ',' + countz + ',' + srv_count + ',' + serror_rate + ',' + srv_serror_rate + ',' + rerror_rate + ',' + srv_rerror_rate + ',' + src_port + ',' + dst_port + ',' + average_rtt + ',' + iplen + ',' + ethlen + ',' + stan_dev_rtt + ',' + same_srv_rate + ',' + diff_srv_rate + ',' + srv_diff_host_rate + ',' + dst_host_count + ',' + dst_host_srv_count + ',' + dst_host_same_srv_rate + ',' + dst_host_diff_srv_rate + ',' + dst_host_same_src_port_rate + ',' + dst_host_srv_diff_host_rate + ',' + dst_host_serror_rate + ',' + dst_host_srv_serror_rate + ',' + dst_host_rerror_rate + ',' + dst_host_srv_rerror_rate + ',' + random.choice(attack) f.write(capture + '\n') count = count + 1 print 'New dataset was exported successfully to',file1 + file2 + file3 + file4 + file5 + file6 + file7 + file8 + file9 + file10 + '.data' f.close() print '\r'

77.90625

1,744

0.670277

892

7,479

5.419283

0.269058

0.258171

0.383533

0.506413

0.407323

0.341746

0.31899

0.30782

0.296649

0

0.061066

0.137318

7,479

95

1,745

78.726316

0.688159

0.002139

0

0.038961

0

0.321539

0.113792

0

null

0

0.051948

null

0.077922

0

null

1

0

1

0

null

0

1

0

5

a6106143f97e1c868ca5882e4d27a315b1449f80

223

py

Python

scripts/item/consume_2433184.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

54

2019-04-16T23:24:48.000Z

2021-12-18T11:41:50.000Z

scripts/item/consume_2433184.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

3

2019-05-19T15:19:41.000Z

2020-04-27T16:29:16.000Z

scripts/item/consume_2433184.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

49

2020-11-25T23:29:16.000Z

2022-03-26T16:20:24.000Z

# Created by MechAviv # Wicked Witch Damage Skin | (2433184) if sm.addDamageSkin(2433184): sm.chat("'Wicked Witch Damage Skin' Damage Skin has been added to your account's damage skin collection.") sm.consumeItem()

44.6

111

0.73991

32

223

5.15625

0.65625

0.242424

0.206061

0.254545

0

0.075269

0.165919

223

5

112

44.6

0.811828

0.251121

0

0.581818

0

1

0

true

0

null

1

0

1

0

null

0

1

0

5

a621225802ebe987ecb3dc6ed861b498df1214f1

91

py

Python

pyogcapi/component/__init__.py

ashleysommer/pyogcapi

9ffac35e76993f2cb5d9929e4b12923f9d767675

[ "Apache-2.0" ]

null

pyogcapi/component/__init__.py

ashleysommer/pyogcapi

9ffac35e76993f2cb5d9929e4b12923f9d767675

[ "Apache-2.0" ]

null

pyogcapi/component/__init__.py

ashleysommer/pyogcapi

9ffac35e76993f2cb5d9929e4b12923f9d767675

[ "Apache-2.0" ]

null

# -*- coding: latin-1 -*- # import pkg_resources pkg_resources.declare_namespace(__name__)

18.2

41

0.758242

11

91

5.636364

0.818182

0.387097

0

0.012195

0.098901

91

4

42

22.75

0.743902

0.252747

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

471c7df8223afb6327e2202d7eec49eb4a3e4ad6

48

py

Python

pyeccodes/defs/grib2/template_second_order_def.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

7

2020-04-14T09:41:17.000Z

2021-08-06T09:38:19.000Z

pyeccodes/defs/grib2/template_second_order_def.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

null

pyeccodes/defs/grib2/template_second_order_def.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

3

2020-04-30T12:44:48.000Z

2020-12-15T08:40:26.000Z

import pyeccodes.accessors as _ def load(h):

8

31

0.729167

7

48

4.857143

1

0

0.1875

48

5

32

9.6

0.871795

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5b64ad63ebd98df5e1a1d1017edcf99d3244a937

93

py

Python

boards/admin.py

lucaswilliamgomes/Beginner-django

db688cc1e2902d7fc0365c8b6d2f9b86f93a3dac

[ "MIT" ]

null

boards/admin.py

lucaswilliamgomes/Beginner-django

db688cc1e2902d7fc0365c8b6d2f9b86f93a3dac

[ "MIT" ]

null

boards/admin.py

lucaswilliamgomes/Beginner-django

db688cc1e2902d7fc0365c8b6d2f9b86f93a3dac

[ "MIT" ]

null

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

18.6

32

0.827957

14

93

5.5

0.714286

0

0.107527

93

4

33

23.25

0.927711

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5b64e76b2854b2464955b19aebf27c5b3f567285

19

py

Python

igloader/__init__.py

pvnmurthy/igloader

ad57300f7aaf05706f0dee0735fac449fc512a81

[ "Apache-2.0" ]

4

2021-01-26T01:06:06.000Z

2021-05-26T13:07:34.000Z

igloader/__init__.py

pvnmurthy/igloader

ad57300f7aaf05706f0dee0735fac449fc512a81

[ "Apache-2.0" ]

null

igloader/__init__.py

pvnmurthy/igloader

ad57300f7aaf05706f0dee0735fac449fc512a81

[ "Apache-2.0" ]

1

2020-11-06T16:59:58.000Z

# empty __init__.py

19

0.789474

3

19

3.666667

1

0

0.105263

19

1

19

0.647059

0.894737

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

5b7bc231c2ab5b0cc096f8095cfd25a029faa934

1,187

bzl

Python

source/bazel/deps/glib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

33

2019-05-30T07:43:32.000Z

2021-12-30T13:12:32.000Z

source/bazel/deps/glib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

371

2019-05-16T15:23:50.000Z

2021-09-04T15:45:27.000Z

source/bazel/deps/glib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

6

2019-08-22T17:37:36.000Z

2020-11-07T07:15:32.000Z

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") def glib(): http_archive( name="glib" , build_file="//bazel/deps/glib:build.BUILD" , sha256="80753e02bd0baddfa03807dccc6da4e063f272026f07fd0e05e17c6e5353b07e" , strip_prefix="glib-2ba0f14b5298f49dcc3b376d2bdf6505b2c32bd3" , urls = [ "https://github.com/Unilang/glib/archive/2ba0f14b5298f49dcc3b376d2bdf6505b2c32bd3.tar.gz", ], patches = [ "//bazel/deps/glib/patches:glib_config.patch", "//bazel/deps/glib/patches:glib_config2.patch", "//bazel/deps/glib/patches:glib_enums.patch", "//bazel/deps/glib/patches:gio_enums.patch", "//bazel/deps/glib/patches:gnetworking.patch", "//bazel/deps/glib/patches:xdp_dbus.patch", "//bazel/deps/glib/patches:gdbus_daemon.patch", "//bazel/deps/glib/patches:gmoduleconf.patch", "//bazel/deps/glib/patches:gconstructor.patch", ], patch_args = [ "-p1", ], )

38.290323

102

0.627633

120

1,187

6.091667

0.466667

0.123119

0.177839

0.246238

0.331053

0.161423

0

0.097374

0.229992

1,187

30

103

39.566667

0.702407

0.085088

0

0.083333

1

0

0.620499

0.522622

0

1

0.041667

true

0

0.041667

0

null

0

1

0

1

0

1

null

0

1

0

5

5bc07fc8f42d256b1d93cc4a76f6d607dbd62ab6

36

py

Python

isleservice_objects/fields.py

illuscio-dev/isleservice_objects-py

76abfe223dcf79847f29d9c0b96873de79cb792a

[ "MIT" ]

null

isleservice_objects/fields.py

illuscio-dev/isleservice_objects-py

76abfe223dcf79847f29d9c0b96873de79cb792a

[ "MIT" ]

null

isleservice_objects/fields.py

illuscio-dev/isleservice_objects-py

76abfe223dcf79847f29d9c0b96873de79cb792a

[ "MIT" ]

null

# custom marshmallow fields go here

18

35

0.805556

5

36

5.8

1

0

0.166667

36

1

36

0.966667

0.916667

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

5be2dc95f1c0638630850cfd63ccf2a8eb176e61

17,897

py

Python

plaso/winnt/known_folder_ids.py

Defense-Cyber-Crime-Center/plaso

4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47

[ "Apache-2.0" ]

2

2016-02-18T12:46:29.000Z

2022-03-13T03:04:59.000Z

plaso/winnt/known_folder_ids.py

CNR-ITTIG/plasodfaxp

923797fc00664fa9e3277781b0334d6eed5664fd

[ "Apache-2.0" ]

null

plaso/winnt/known_folder_ids.py

CNR-ITTIG/plasodfaxp

923797fc00664fa9e3277781b0334d6eed5664fd

[ "Apache-2.0" ]

6

2016-12-18T08:05:36.000Z

2021-04-06T14:19:11.000Z

# -*- coding: utf-8 -*- """This file contains the Windows NT Known Folder identifier definitions.""" # For now ignore the line too long errors. # pylint: disable=line-too-long # For now copied from: # https://code.google.com/p/libfwsi/wiki/KnownFolderIdentifiers # TODO: store these in a database or equiv. DESCRIPTIONS = { u'008ca0b1-55b4-4c56-b8a8-4de4b299d3be': u'Account Pictures', u'00bcfc5a-ed94-4e48-96a1-3f6217f21990': u'Roaming Tiles', u'0139d44e-6afe-49f2-8690-3dafcae6ffb8': u'(Common) Programs', u'0482af6c-08f1-4c34-8c90-e17ec98b1e17': u'Public Account Pictures', u'054fae61-4dd8-4787-80b6-090220c4b700': u'Game Explorer (Game Tasks)', u'0762d272-c50a-4bb0-a382-697dcd729b80': u'Users (User Profiles)', u'0ac0837c-bbf8-452a-850d-79d08e667ca7': u'Computer (My Computer)', u'0d4c3db6-03a3-462f-a0e6-08924c41b5d4': u'History', u'0f214138-b1d3-4a90-bba9-27cbc0c5389a': u'Sync Setup', u'15ca69b3-30ee-49c1-ace1-6b5ec372afb5': u'Sample Playlists', u'1777f761-68ad-4d8a-87bd-30b759fa33dd': u'Favorites', u'18989b1d-99b5-455b-841c-ab7c74e4ddfc': u'Videos (My Video)', u'190337d1-b8ca-4121-a639-6d472d16972a': u'Search Results (Search Home)', u'1a6fdba2-f42d-4358-a798-b74d745926c5': u'Recorded TV', u'1ac14e77-02e7-4e5d-b744-2eb1ae5198b7': u'System32 (System)', u'1b3ea5dc-b587-4786-b4ef-bd1dc332aeae': u'Libraries', u'1e87508d-89c2-42f0-8a7e-645a0f50ca58': u'Applications', u'2112ab0a-c86a-4ffe-a368-0de96e47012e': u'Music', u'2400183a-6185-49fb-a2d8-4a392a602ba3': u'Public Videos (Common Video)', u'24d89e24-2f19-4534-9dde-6a6671fbb8fe': u'One Drive Documents', u'289a9a43-be44-4057-a41b-587a76d7e7f9': u'Sync Results', u'2a00375e-224c-49de-b8d1-440df7ef3ddc': u'Localized Resources (Directory)', u'2b0f765d-c0e9-4171-908e-08a611b84ff6': u'Cookies', u'2c36c0aa-5812-4b87-bfd0-4cd0dfb19b39': u'Original Images', u'3214fab5-9757-4298-bb61-92a9deaa44ff': u'Public Music (Common Music)', u'339719b5-8c47-4894-94c2-d8f77add44a6': u'One Drive Pictures', u'33e28130-4e1e-4676-835a-98395c3bc3bb': u'Pictures (My Pictures)', u'352481e8-33be-4251-ba85-6007caedcf9d': u'Internet Cache (Temporary Internet Files)', u'374de290-123f-4565-9164-39c4925e467b': u'Downloads', u'3d644c9b-1fb8-4f30-9b45-f670235f79c0': u'Public Downloads (Common Downloads)', u'3eb685db-65f9-4cf6-a03a-e3ef65729f3d': u'Roaming Application Data (Roaming)', u'43668bf8-c14e-49b2-97c9-747784d784b7': u'Sync Center (Sync Manager)', u'48daf80b-e6cf-4f4e-b800-0e69d84ee384': u'Libraries', u'491e922f-5643-4af4-a7eb-4e7a138d8174': u'Videos', u'4bd8d571-6d19-48d3-be97-422220080e43': u'Music (My Music)', u'4bfefb45-347d-4006-a5be-ac0cb0567192': u'Conflicts', u'4c5c32ff-bb9d-43b0-b5b4-2d72e54eaaa4': u'Saved Games', u'4d9f7874-4e0c-4904-967b-40b0d20c3e4b': u'Internet (The Internet)', u'52528a6b-b9e3-4add-b60d-588c2dba842d': u'Homegroup', u'52a4f021-7b75-48a9-9f6b-4b87a210bc8f': u'Quick Launch', u'56784854-c6cb-462b-8169-88e350acb882': u'Contacts', u'5b3749ad-b49f-49c1-83eb-15370fbd4882': u'Tree Properties', u'5cd7aee2-2219-4a67-b85d-6c9ce15660cb': u'Programs', u'5ce4a5e9-e4eb-479d-b89f-130c02886155': u'Device Metadata Store', u'5e6c858f-0e22-4760-9afe-ea3317b67173': u'Profile (User\'s name)', u'625b53c3-ab48-4ec1-ba1f-a1ef4146fc19': u'Start Menu', u'62ab5d82-fdc1-4dc3-a9dd-070d1d495d97': u'Program Data', u'6365d5a7-0f0d-45e5-87f6-0da56b6a4f7d': u'Common Files (x64)', u'69d2cf90-fc33-4fb7-9a0c-ebb0f0fcb43c': u'Slide Shows (Photo Albums)', u'6d809377-6af0-444b-8957-a3773f02200e': u'Program Files (x64)', u'6f0cd92b-2e97-45d1-88ff-b0d186b8dedd': u'Network Connections', u'724ef170-a42d-4fef-9f26-b60e846fba4f': u'Administrative Tools', u'767e6811-49cb-4273-87c2-20f355e1085b': u'One Drive Camera Roll', u'76fc4e2d-d6ad-4519-a663-37bd56068185': u'Printers', u'7b0db17d-9cd2-4a93-9733-46cc89022e7c': u'Documents', u'7b396e54-9ec5-4300-be0a-2482ebae1a26': u'Default Gadgets (Sidebar Default Parts)', u'7c5a40ef-a0fb-4bfc-874a-c0f2e0b9fa8e': u'Program Files (x86)', u'7d1d3a04-debb-4115-95cf-2f29da2920da': u'Saved Searches (Searches)', u'7e636bfe-dfa9-4d5e-b456-d7b39851d8a9': u'Templates', u'82a5ea35-d9cd-47c5-9629-e15d2f714e6e': u'(Common) Startup', u'82a74aeb-aeb4-465c-a014-d097ee346d63': u'Control Panel', u'859ead94-2e85-48ad-a71a-0969cb56a6cd': u'Sample Videos', u'8983036c-27c0-404b-8f08-102d10dcfd74': u'Send To', u'8ad10c31-2adb-4296-a8f7-e4701232c972': u'Resources (Resources Directory)', u'905e63b6-c1bf-494e-b29c-65b732d3d21a': u'Program Files', u'9274bd8d-cfd1-41c3-b35e-b13f55a758f4': u'Printer Shortcuts (PrintHood)', u'98ec0e18-2098-4d44-8644-66979315a281': u'Microsoft Office Outlook (MAPI)', u'9b74b6a3-0dfd-4f11-9e78-5f7800f2e772': u'User\'s name', u'9e3995ab-1f9c-4f13-b827-48b24b6c7174': u'User Pinned', u'9e52ab10-f80d-49df-acb8-4330f5687855': u'Temporary Burn Folder (CD Burning)', u'a302545d-deff-464b-abe8-61c8648d939b': u'Libraries', u'a305ce99-f527-492b-8b1a-7e76fa98d6e4': u'Installed Updates (Application Updates)', u'a3918781-e5f2-4890-b3d9-a7e54332328c': u'Application Shortcuts', u'a4115719-d62e-491d-aa7c-e74b8be3b067': u'(Common) Start Menu', u'a520a1a4-1780-4ff6-bd18-167343c5af16': u'Local Application Data Low (Local Low)', u'a52bba46-e9e1-435f-b3d9-28daa648c0f6': u'One Drive', u'a63293e8-664e-48db-a079-df759e0509f7': u'Templates', u'a75d362e-50fc-4fb7-ac2c-a8beaa314493': u'Gadgets (Sidebar Parts)', u'a77f5d77-2e2b-44c3-a6a2-aba601054a51': u'Programs', u'a990ae9f-a03b-4e80-94bc-9912d7504104': u'Pictures', u'aaa8d5a5-f1d6-4259-baa8-78e7ef60835e': u'Roamed Tile Images', u'ab5fb87b-7ce2-4f83-915d-550846c9537b': u'Camera Roll', u'ae50c081-ebd2-438a-8655-8a092e34987a': u'Recent (Recent Items)', u'b250c668-f57d-4ee1-a63c-290ee7d1aa1f': u'Sample Music', u'b4bfcc3a-db2c-424c-b029-7fe99a87c641': u'Desktop', u'b6ebfb86-6907-413c-9af7-4fc2abf07cc5': u'Public Pictures (Common Pictures)', u'b7534046-3ecb-4c18-be4e-64cd4cb7d6ac': u'Recycle Bin (Bit Bucket)', u'b7bede81-df94-4682-a7d8-57a52620b86f': u'Screenshots', u'b94237e7-57ac-4347-9151-b08c6c32d1f7': u'(Common) Templates', u'b97d20bb-f46a-4c97-ba10-5e3608430854': u'Startup', u'bcb5256f-79f6-4cee-b725-dc34e402fd46': u'Implicit Application Shortcuts', u'bcbd3057-ca5c-4622-b42d-bc56db0ae516': u'Programs', u'bd85e001-112e-431e-983b-7b15ac09fff1': u'Recorded TV', u'bfb9d5e0-c6a9-404c-b2b2-ae6db6af4968': u'Links', u'c1bae2d0-10df-4334-bedd-7aa20b227a9d': u'(Common) OEM Links', u'c4900540-2379-4c75-844b-64e6faf8716b': u'Sample Pictures', u'c4aa340d-f20f-4863-afef-f87ef2e6ba25': u'Public Desktop (Common Desktop)', u'c5abbf53-e17f-4121-8900-86626fc2c973': u'Network Shortcuts (NetHood)', u'c870044b-f49e-4126-a9c3-b52a1ff411e8': u'Ringtones', u'cac52c1a-b53d-4edc-92d7-6b2e8ac19434': u'Games', u'd0384e7d-bac3-4797-8f14-cba229b392b5': u'(Common) Administrative Tools', u'd20beec4-5ca8-4905-ae3b-bf251ea09b53': u'Network (Places)', u'd65231b0-b2f1-4857-a4ce-a8e7c6ea7d27': u'System32 (x86)', u'd9dc8a3b-b784-432e-a781-5a1130a75963': u'History', u'de61d971-5ebc-4f02-a3a9-6c82895e5c04': u'Add New Programs (Get Programs)', u'de92c1c7-837f-4f69-a3bb-86e631204a23': u'Playlists', u'de974d24-d9c6-4d3e-bf91-f4455120b917': u'Common Files (x86)', u'debf2536-e1a8-4c59-b6a2-414586476aea': u'Game Explorer (Public Game Tasks)', u'df7266ac-9274-4867-8d55-3bd661de872d': u'Programs and Features (Change and Remove Programs)', u'dfdf76a2-c82a-4d63-906a-5644ac457385': u'Public', u'e555ab60-153b-4d17-9f04-a5fe99fc15ec': u'Ringtones', u'ed4824af-dce4-45a8-81e2-fc7965083634': u'Public Documents (Common Documents)', u'ee32e446-31ca-4aba-814f-a5ebd2fd6d5e': u'Offline Files (CSC)', u'f1b32785-6fba-4fcf-9d55-7b8e7f157091': u'Local Application Data', u'f38bf404-1d43-42f2-9305-67de0b28fc23': u'Windows', u'f3ce0f7c-4901-4acc-8648-d5d44b04ef8f': u'User\'s Files', u'f7f1ed05-9f6d-47a2-aaae-29d317c6f066': u'Common Files', u'fd228cb7-ae11-4ae3-864c-16f3910ab8fe': u'Fonts', u'fdd39ad0-238f-46af-adb4-6c85480369c7': u'Documents (Personal)', } PATHS = { u'008ca0b1-55b4-4c56-b8a8-4de4b299d3be': u'%APPDATA%\\Microsoft\\Windows\\AccountPictures', u'00bcfc5a-ed94-4e48-96a1-3f6217f21990': u'%LOCALAPPDATA%\\Microsoft\\Windows\\RoamingTiles', u'0139d44e-6afe-49f2-8690-3dafcae6ffb8': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Start Menu\\Programs', u'0482af6c-08f1-4c34-8c90-e17ec98b1e17': u'%PUBLIC%\\AccountPictures', u'054fae61-4dd8-4787-80b6-090220c4b700': u'%LOCALAPPDATA%\\Microsoft\\Windows\\GameExplorer', u'0762d272-c50a-4bb0-a382-697dcd729b80': u'%SYSTEMDRIVE%\\Users', u'0ac0837c-bbf8-452a-850d-79d08e667ca7': u'', u'0d4c3db6-03a3-462f-a0e6-08924c41b5d4': u'%LOCALAPPDATA%\\Microsoft\\Windows\\ConnectedSearch\\History', u'0f214138-b1d3-4a90-bba9-27cbc0c5389a': u'', u'15ca69b3-30ee-49c1-ace1-6b5ec372afb5': u'%PUBLIC%\\Music\\Sample Playlists', u'1777f761-68ad-4d8a-87bd-30b759fa33dd': u'%USERPROFILE%\\Favorites', u'18989b1d-99b5-455b-841c-ab7c74e4ddfc': u'%USERPROFILE%\\Videos', u'190337d1-b8ca-4121-a639-6d472d16972a': u'', u'1a6fdba2-f42d-4358-a798-b74d745926c5': u'%PUBLIC%\\RecordedTV.library-ms', u'1ac14e77-02e7-4e5d-b744-2eb1ae5198b7': u'%WINDIR%\\System32', u'1b3ea5dc-b587-4786-b4ef-bd1dc332aeae': u'%APPDATA%\\Microsoft\\Windows\\Libraries', u'1e87508d-89c2-42f0-8a7e-645a0f50ca58': u'', u'2112ab0a-c86a-4ffe-a368-0de96e47012e': u'%APPDATA%\\Microsoft\\Windows\\Libraries\\Music.library-ms', u'2400183a-6185-49fb-a2d8-4a392a602ba3': u'%PUBLIC%\\Videos', u'24d89e24-2f19-4534-9dde-6a6671fbb8fe': u'%USERPROFILE%\\OneDrive\\Documents', u'289a9a43-be44-4057-a41b-587a76d7e7f9': u'', u'2a00375e-224c-49de-b8d1-440df7ef3ddc': u'%WINDIR%\\resources\\%CODEPAGE%', u'2b0f765d-c0e9-4171-908e-08a611b84ff6': u'%APPDATA%\\Microsoft\\Windows\\Cookies', u'2c36c0aa-5812-4b87-bfd0-4cd0dfb19b39': u'%LOCALAPPDATA%\\Microsoft\\Windows Photo Gallery\\Original Images', u'3214fab5-9757-4298-bb61-92a9deaa44ff': u'%PUBLIC%\\Music', u'339719b5-8c47-4894-94c2-d8f77add44a6': u'%USERPROFILE%\\OneDrive\\Pictures', u'33e28130-4e1e-4676-835a-98395c3bc3bb': u'%USERPROFILE%\\Pictures', u'352481e8-33be-4251-ba85-6007caedcf9d': u'%LOCALAPPDATA%\\Microsoft\\Windows\\Temporary Internet Files', u'374de290-123f-4565-9164-39c4925e467b': u'%USERPROFILE%\\Downloads', u'3d644c9b-1fb8-4f30-9b45-f670235f79c0': u'%PUBLIC%\\Downloads', u'3eb685db-65f9-4cf6-a03a-e3ef65729f3d': u'%USERPROFILE%\\AppData\\Roaming', u'43668bf8-c14e-49b2-97c9-747784d784b7': u'', u'48daf80b-e6cf-4f4e-b800-0e69d84ee384': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Libraries', u'491e922f-5643-4af4-a7eb-4e7a138d8174': u'%APPDATA%\\Microsoft\\Windows\\Libraries\\Videos.library-ms', u'4bd8d571-6d19-48d3-be97-422220080e43': u'%USERPROFILE%\\Music', u'4bfefb45-347d-4006-a5be-ac0cb0567192': u'', u'4c5c32ff-bb9d-43b0-b5b4-2d72e54eaaa4': u'%USERPROFILE%\\Saved Games', u'4d9f7874-4e0c-4904-967b-40b0d20c3e4b': u'', u'52528a6b-b9e3-4add-b60d-588c2dba842d': u'', u'52a4f021-7b75-48a9-9f6b-4b87a210bc8f': u'%APPDATA%\\Microsoft\\Internet Explorer\\Quick Launch', u'56784854-c6cb-462b-8169-88e350acb882': u'', u'5b3749ad-b49f-49c1-83eb-15370fbd4882': u'', u'5cd7aee2-2219-4a67-b85d-6c9ce15660cb': u'%LOCALAPPDATA%\\Programs', u'5ce4a5e9-e4eb-479d-b89f-130c02886155': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\DeviceMetadataStore', u'5e6c858f-0e22-4760-9afe-ea3317b67173': u'%SYSTEMDRIVE%\\Users\\%USERNAME%', u'625b53c3-ab48-4ec1-ba1f-a1ef4146fc19': u'%APPDATA%\\Microsoft\\Windows\\Start Menu', u'62ab5d82-fdc1-4dc3-a9dd-070d1d495d97': u'%SYSTEMDRIVE%\\ProgramData', u'6365d5a7-0f0d-45e5-87f6-0da56b6a4f7d': u'%PROGRAMFILES%\\Common Files', u'69d2cf90-fc33-4fb7-9a0c-ebb0f0fcb43c': u'%USERPROFILE%\\Pictures\\Slide Shows', u'6d809377-6af0-444b-8957-a3773f02200e': u'%SYSTEMDRIVE%\\Program Files', u'6f0cd92b-2e97-45d1-88ff-b0d186b8dedd': u'', u'724ef170-a42d-4fef-9f26-b60e846fba4f': u'%APPDATA%\\Microsoft\\Windows\\Start Menu\\Programs\\Administrative Tools', u'767e6811-49cb-4273-87c2-20f355e1085b': u'%USERPROFILE%\\OneDrive\\Pictures\\Camera Roll', u'76fc4e2d-d6ad-4519-a663-37bd56068185': u'', u'7b0db17d-9cd2-4a93-9733-46cc89022e7c': u'%APPDATA%\\Microsoft\\Windows\\Libraries\\Documents.library-ms', u'7b396e54-9ec5-4300-be0a-2482ebae1a26': u'%PROGRAMFILES%\\Windows Sidebar\\Gadgets', u'7c5a40ef-a0fb-4bfc-874a-c0f2e0b9fa8e': u'%PROGRAMFILES% (%SYSTEMDRIVE%\\Program Files)', u'7d1d3a04-debb-4115-95cf-2f29da2920da': u'%USERPROFILE%\\Searches', u'7e636bfe-dfa9-4d5e-b456-d7b39851d8a9': u'%LOCALAPPDATA%\\Microsoft\\Windows\\ConnectedSearch\\Templates', u'82a5ea35-d9cd-47c5-9629-e15d2f714e6e': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Start Menu\\Programs\\StartUp', u'82a74aeb-aeb4-465c-a014-d097ee346d63': u'', u'859ead94-2e85-48ad-a71a-0969cb56a6cd': u'%PUBLIC%\\Videos\\Sample Videos', u'8983036c-27c0-404b-8f08-102d10dcfd74': u'%APPDATA%\\Microsoft\\Windows\\SendTo', u'8ad10c31-2adb-4296-a8f7-e4701232c972': u'%WINDIR%\\Resources', u'905e63b6-c1bf-494e-b29c-65b732d3d21a': u'%SYSTEMDRIVE%\\Program Files', u'9274bd8d-cfd1-41c3-b35e-b13f55a758f4': u'%APPDATA%\\Microsoft\\Windows\\Printer Shortcuts', u'98ec0e18-2098-4d44-8644-66979315a281': u'', u'9b74b6a3-0dfd-4f11-9e78-5f7800f2e772': u'', u'9e3995ab-1f9c-4f13-b827-48b24b6c7174': u'%APPDATA%\\Microsoft\\Internet Explorer\\Quick Launch\\User Pinned', u'9e52ab10-f80d-49df-acb8-4330f5687855': u'%LOCALAPPDATA%\\Microsoft\\Windows\\Burn\\Burn', u'a302545d-deff-464b-abe8-61c8648d939b': u'', u'a305ce99-f527-492b-8b1a-7e76fa98d6e4': u'', u'a3918781-e5f2-4890-b3d9-a7e54332328c': u'%LOCALAPPDATA%\\Microsoft\\Windows\\Application Shortcuts', u'a4115719-d62e-491d-aa7c-e74b8be3b067': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Start Menu', u'a520a1a4-1780-4ff6-bd18-167343c5af16': u'%USERPROFILE%\\AppData\\LocalLow', u'a52bba46-e9e1-435f-b3d9-28daa648c0f6': u'%USERPROFILE%\\OneDrive', u'a63293e8-664e-48db-a079-df759e0509f7': u'%APPDATA%\\Microsoft\\Windows\\Templates', u'a75d362e-50fc-4fb7-ac2c-a8beaa314493': u'%LOCALAPPDATA%\\Microsoft\\Windows Sidebar\\Gadgets', u'a77f5d77-2e2b-44c3-a6a2-aba601054a51': u'%APPDATA%\\Microsoft\\Windows\\Start Menu\\Programs', u'a990ae9f-a03b-4e80-94bc-9912d7504104': u'%APPDATA%\\Microsoft\\Windows\\Libraries\\Pictures.library-ms', u'aaa8d5a5-f1d6-4259-baa8-78e7ef60835e': u'%LOCALAPPDATA%\\Microsoft\\Windows\\RoamedTileImages', u'ab5fb87b-7ce2-4f83-915d-550846c9537b': u'%USERPROFILE%\\Pictures\\Camera Roll', u'ae50c081-ebd2-438a-8655-8a092e34987a': u'%APPDATA%\\Microsoft\\Windows\\Recent', u'b250c668-f57d-4ee1-a63c-290ee7d1aa1f': u'%PUBLIC%\\Music\\Sample Music', u'b4bfcc3a-db2c-424c-b029-7fe99a87c641': u'%USERPROFILE%\\Desktop', u'b6ebfb86-6907-413c-9af7-4fc2abf07cc5': u'%PUBLIC%\\Pictures', u'b7534046-3ecb-4c18-be4e-64cd4cb7d6ac': u'', u'b7bede81-df94-4682-a7d8-57a52620b86f': u'%USERPROFILE%\\Pictures\\Screenshots', u'b94237e7-57ac-4347-9151-b08c6c32d1f7': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Templates', u'b97d20bb-f46a-4c97-ba10-5e3608430854': u'%APPDATA%\\Microsoft\\Windows\\Start Menu\\Programs\\StartUp', u'bcb5256f-79f6-4cee-b725-dc34e402fd46': u'%APPDATA%\\Microsoft\\Internet Explorer\\Quick Launch\\User Pinned\\ImplicitAppShortcuts', u'bcbd3057-ca5c-4622-b42d-bc56db0ae516': u'%LOCALAPPDATA%\\Programs\\Common', u'bd85e001-112e-431e-983b-7b15ac09fff1': u'', u'bfb9d5e0-c6a9-404c-b2b2-ae6db6af4968': u'%USERPROFILE%\\Links', u'c1bae2d0-10df-4334-bedd-7aa20b227a9d': u'%ALLUSERSPROFILE%\\OEM Links', u'c4900540-2379-4c75-844b-64e6faf8716b': u'%PUBLIC%\\Pictures\\Sample Pictures', u'c4aa340d-f20f-4863-afef-f87ef2e6ba25': u'%PUBLIC%\\Desktop', u'c5abbf53-e17f-4121-8900-86626fc2c973': u'%APPDATA%\\Microsoft\\Windows\\Network Shortcuts', u'c870044b-f49e-4126-a9c3-b52a1ff411e8': u'%LOCALAPPDATA%\\Microsoft\\Windows\\Ringtones', u'cac52c1a-b53d-4edc-92d7-6b2e8ac19434': u'', u'd0384e7d-bac3-4797-8f14-cba229b392b5': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Start Menu\\Programs\\Administrative Tools', u'd20beec4-5ca8-4905-ae3b-bf251ea09b53': u'', u'd65231b0-b2f1-4857-a4ce-a8e7c6ea7d27': u'%WINDIR%\\system32', u'd9dc8a3b-b784-432e-a781-5a1130a75963': u'%LOCALAPPDATA%\\Microsoft\\Windows\\History', u'de61d971-5ebc-4f02-a3a9-6c82895e5c04': u'', u'de92c1c7-837f-4f69-a3bb-86e631204a23': u'%USERPROFILE%\\Music\\Playlists', u'de974d24-d9c6-4d3e-bf91-f4455120b917': u'%PROGRAMFILES%\\Common Files', u'debf2536-e1a8-4c59-b6a2-414586476aea': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\GameExplorer', u'df7266ac-9274-4867-8d55-3bd661de872d': u'', u'dfdf76a2-c82a-4d63-906a-5644ac457385': u'%SYSTEMDRIVE%\\Users\\Public', u'e555ab60-153b-4d17-9f04-a5fe99fc15ec': u'%ALLUSERSPROFILE%\\Microsoft\\Windows\\Ringtones', u'ed4824af-dce4-45a8-81e2-fc7965083634': u'%PUBLIC%\\Documents', u'ee32e446-31ca-4aba-814f-a5ebd2fd6d5e': u'', u'f1b32785-6fba-4fcf-9d55-7b8e7f157091': u'%USERPROFILE%\\AppData\\Local', u'f38bf404-1d43-42f2-9305-67de0b28fc23': u'%WINDIR%', u'f3ce0f7c-4901-4acc-8648-d5d44b04ef8f': u'', u'f7f1ed05-9f6d-47a2-aaae-29d317c6f066': u'%PROGRAMFILES%\\Common Files', u'fd228cb7-ae11-4ae3-864c-16f3910ab8fe': u'%WINDIR%\\Fonts', u'fdd39ad0-238f-46af-adb4-6c85480369c7': u'%USERPROFILE%\\Documents', }

70.184314

137

0.728725

2,364

17,897

5.51692

0.335025

0.045392

0.024766

0.029443

0.767444

0.742217

0.738077

0.38284

0.188621

0.053213

0

0.296111

0.09482

17,897

254

138

70.46063

0.508951

0.016148

0

0.806899

0.653407

0

0.003937

0

1

0

false

0

null

0

1

0

1

0

1

null

0

5

750c84c56b4d82453bbdb114355eae27fa8f5b9d

86

py

Python

bugtests/test402n.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

577

2020-06-04T16:34:44.000Z

2022-03-31T11:46:07.000Z

bugtests/test402n.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

174

2015-01-08T20:37:09.000Z

2020-06-03T16:48:59.000Z

bugtests/test402n.py

jeff5/jython-whinchat

65d8e5268189f8197295ff2d91be3decb1ee0081

[ "CNRI-Jython" ]

162

2015-02-07T02:14:38.000Z

2020-05-30T16:42:03.000Z

import sys sys.path.append('simplejar/simple.jar') from javapackage import JavaClass

17.2

39

0.813953

12

86

5.833333

0.833333

0

0.093023

86

4

40

21.5

0.897436

0

0.232558

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

750ff360bf1144e88cb0cfa558c880d530398fc6

83

py

Python

python/testData/completion/classNameFromVarName.after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/classNameFromVarName.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/classNameFromVarName.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class Product: def doStuff(self): pass def foo(product): product.doStuff()

16.6

27

0.686747

11

83

5.181818

0.636364

0

0.192771

83

5

28

16.6

0.850746

0

1

0.5

false

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

75288434d350cf76348664694ff11aad10f29fb4

94

py

Python

test/hello.py

Progyan1997/Machine-Learning

f2231dc53005181c61b13996bc1bbb13bc448354

[ "MIT" ]

null

test/hello.py

Progyan1997/Machine-Learning

f2231dc53005181c61b13996bc1bbb13bc448354

[ "MIT" ]

null

test/hello.py

Progyan1997/Machine-Learning

f2231dc53005181c61b13996bc1bbb13bc448354

[ "MIT" ]

null

# Test Program # This program prints "Hello World!" to Standard Output print('Hello World!')

18.8

55

0.734043

13

94

5.307692

0.769231

0.289855

0

0.159574

94

4

56

23.5

0.873418

0.702128

0

0.48

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

752e5162bee25cb215ebfbc73df4542830a633c7

19,777

py

Python

python/athena/gpu_ops/Conv2d.py

DMALab/TSplit

8f86f987163aa06521bfeeb174616eb4a0a81b47

[ "Apache-2.0" ]

2

2021-05-29T11:18:14.000Z

2021-09-09T14:29:21.000Z

python/athena/gpu_ops/Conv2d.py

DMALab/TSplit

8f86f987163aa06521bfeeb174616eb4a0a81b47

[ "Apache-2.0" ]

null

python/athena/gpu_ops/Conv2d.py

DMALab/TSplit

8f86f987163aa06521bfeeb174616eb4a0a81b47

[ "Apache-2.0" ]

1

2021-05-01T16:34:37.000Z

from __future__ import absolute_import import numpy as np from .Node import Op, NAME_RULE, PROFILING_MODE from .. import profiler from .._base import get_array_memory class Conv2dOp(Op): # nodeA : x nodeB : filter def __call__(self, node_A, node_B, padding=0, padding2 = None, stride=1, For_ResNet = False): new_node = Op.__call__(self) new_node.inputs = [node_A, node_B] self.padding = padding self.padding2 = padding2 self.For_ResNet = For_ResNet if padding2 is None: self.padding2 = self.padding self.stride = stride new_node.profiler = None if PROFILING_MODE == 1: new_node.profiler = profiler.CreateProfiler() # print "init padding = ", padding if NAME_RULE == 0: new_node.name = "Conv2d(%s, %s)" % (node_A.name, node_B.name) elif NAME_RULE == 1: new_node.name = "Conv2d" else: new_node.name = "conv2d"+str(new_node.id) new_node.desc = new_node.name + \ "(%s, %s)" % (node_A.name, node_B.name) return new_node def im2col(self, X, filter_H, filter_W, padding, stride): N, C, H, W = X.shape assert (H + 2 * padding - filter_H) % stride == 0 assert (W + 2 * padding - filter_W) % stride == 0 out_H = (H + 2 * padding - filter_H) / stride + 1 out_W = (W + 2 * padding - filter_W) / stride + 1 y_row_size = C * filter_H * filter_W y_col_size = out_H * out_W y_shape = (N, y_row_size, y_col_size) Y = np.empty(y_shape, dtype=X.dtype) for batch_index in range(N): for col_index in range(y_col_size): out_y = col_index / out_W out_x = col_index % out_W in_y = out_y * stride - padding in_x = out_x * stride - padding row_idx = 0 for c in range(0, C): for y in range(in_y, in_y + filter_H): for x in range(in_x, in_x + filter_W): if (x < 0 or x >= W or y < 0 or y >= H): Y[batch_index, row_idx, col_index] = 0 else: Y[batch_index, row_idx, col_index] = X[batch_index, c, y, x] row_idx += 1 return Y def np_conv2d(self, X, Filter, padding=0, stride=1): """Implement a conv2d as a matrix multiply after im2col.""" filter_outChannel, filter_inChannel, filter_H, filter_W = Filter.shape N, C, H, W = X.shape assert (H + 2 * padding - filter_H) % stride == 0 assert (W + 2 * padding - filter_W) % stride == 0 out_H = (H + 2 * padding - filter_H) / stride + 1 out_W = (W + 2 * padding - filter_W) / stride + 1 im2col_matrix = self.im2col(X, filter_H, filter_W, padding, stride) filter_matrix = Filter.reshape(filter_outChannel, -1) return np.matmul(filter_matrix, im2col_matrix).reshape(N, filter_outChannel, out_H, out_W) def profile(self, node, input_vals, output_val, is_static = True): assert len(input_vals) == 2 if is_static: # input memory node.profiler.input_memory = get_array_memory(input_vals[0].shape) + \ get_array_memory(input_vals[1].shape) # output memory node.profiler.output_memory = get_array_memory(output_val.shape) # TODO # no workspace node.profiler.workspace_memory = 0 # execute time node.profiler.time = node.profiler.output_memory / 4 * profiler.FLOPS_PER_SECOND else: # import time # start = time.time() from ..gpu_links import CuDNN_conv2d CuDNN_conv2d(input_vals[0], input_vals[1], output_val, self.padding, self.padding2, self.stride, None, node.profiler) # print("time.time: {} ms".format((time.time() - start) * 1000)) # node.profiler.time = time.time() - start def compute(self, node, input_vals, output_val, use_numpy=True, stream_handle=None): assert len(input_vals) == 2 if use_numpy: from .._base import DNNL_LIB if DNNL_LIB['DnnlConv2d']: from ..cpu_links import conv2d as cpu_conv2d from ..ndarray import numpyasdlarrayhandle input_x = numpyasdlarrayhandle(input_vals[0]) input_f = numpyasdlarrayhandle(input_vals[1]) output = numpyasdlarrayhandle(output_val) cpu_conv2d(input_x, input_f, output, self.padding, self.stride) else: output_val[:] = self.np_conv2d( input_vals[0], input_vals[1], self.padding, self.stride) else: from ..gpu_links import CuDNN_conv2d CuDNN_conv2d(input_vals[0], input_vals[1], output_val, self.padding, self.padding2, self.stride, stream_handle, None) def gradient(self, node, output_grad): return [conv2d_gradient_of_data_op(node.inputs[1], output_grad, self.padding, self.padding2, self.stride, self.For_ResNet),\ conv2d_gradient_of_filter_op(node.inputs[0], output_grad, self.padding, self.padding2, self.stride)] def infer_shape(self, node, input_shapes): assert len(input_shapes) == 2 # print "infer padding = ",self.padding N, _, H, W = input_shapes[0] f_O, _, f_H, f_W = input_shapes[1] padding = self.padding padding2 = self.padding2 stride = self.stride filter_H = input_shapes[1][2] filter_W = input_shapes[1][3] out_H = (H + 2 * padding - filter_H) / stride + 1 out_W = (W + 2 * padding2 - filter_W) / stride + 1 # print "conv2d_shape" # print(N, f_O, out_H, out_W) return (N, f_O, out_H, out_W) class Conv2d_Gradient_of_DataOp(Op): # nodeA : filter nodeB : Y_gradient def __call__(self, node_A, node_B, padding=0, padding2 = None, stride=1, For_ResNet = False): new_node = Op.__call__(self) new_node.inputs = [node_A, node_B] self.padding = padding self.padding2 = padding2 self.stride = stride self.For_ResNet = For_ResNet new_node.profiler = None if PROFILING_MODE == 1: new_node.profiler = profiler.CreateProfiler() if NAME_RULE == 0: new_node.name = "Conv2d_Gradient_of_DataOp(%s, %s)" % ( node_A.name, node_B.name) elif NAME_RULE == 1: new_node.name = "Conv2d_Gradient_of_DataOp" else: new_node.name = "Conv2d_Gradient_of_DataOp"+str(new_node.id) new_node.desc = new_node.name + \ "(%s, %s)" % (node_A.name, node_B.name) return new_node def im2col_transpose(self, N, C, H, W, filter_H, filter_W, Y, padding, stride): assert (H + 2 * padding - filter_H) % stride == 0 assert (W + 2 * padding - filter_W) % stride == 0 out_H = (H + 2 * padding - filter_H) / stride + 1 out_W = (W + 2 * padding - filter_W) / stride + 1 _, y_row_size, y_col_size = Y.shape der_X_shape = (N, C, H, W) der_X = np.zeros(der_X_shape, dtype=Y.dtype) # print "batch_size", N for batch_index in range(N): for col_index in range(y_col_size): out_y = col_index / out_W out_x = col_index % out_W in_y = out_y * stride - padding in_x = out_x * stride - padding row_idx = 0 for c in range(0, C): for y in range(in_y, in_y + filter_H): for x in range(in_x, in_x + filter_W): if (x < 0 or x >= W or y < 0 or y >= H): Y[batch_index, row_idx, col_index] = 0 else: der_X[batch_index, c, y, x] += Y[batch_index, row_idx, col_index] row_idx += 1 return der_X def np_Conv2dGradient_data(self, X_N, X_C, X_H, X_W, Filter, Y, padding=0, stride=1): filter_outChannel, filter_inChannel, filter_H, filter_W = Filter.shape Y_N, Y_C, Y_H, Y_W = Y.shape YY = Y.reshape((Y_N, Y_C, Y_H * Y_W)) # transformed to im2col Y F_filter = Filter.reshape((filter_outChannel, -1)) gradient_im2col_XX = np.matmul(F_filter.T, YY) gradient_X = self.im2col_transpose( X_N, X_C, X_H, X_W, filter_H, filter_W, gradient_im2col_XX, padding, stride) # gradient of x return gradient_X def profile(self, node, input_vals, output_val, is_static = True): assert len(input_vals) == 2 if is_static: # input memory node.profiler.input_memory = get_array_memory(input_vals[0].shape) + \ get_array_memory(input_vals[1].shape) # output memory node.profiler.output_memory = get_array_memory(output_val.shape) # no workspace node.profiler.workspace_memory = 0 # execute time node.profiler.time = node.profiler.output_memory / 4 * profiler.FLOPS_PER_SECOND else: # import time # start = time.time() from ..gpu_links import CuDNN_conv2d_gradient_of_data CuDNN_conv2d_gradient_of_data( input_vals[0], input_vals[1], output_val, padding=self.padding, padding2=self.padding2, stride=self.stride, stream = None, profiler = node.profiler) # node.profiler.time = time.time() - start def compute(self, node, input_vals, output_val, use_numpy=True, stream_handle=None): assert len(input_vals) == 2 N = input_vals[1].shape[0] C = input_vals[0].shape[1] H = (input_vals[1].shape[2] - 1) * self.stride + \ input_vals[0].shape[2] - 2 * self.padding W = (input_vals[1].shape[3] - 1) * self.stride + \ input_vals[0].shape[3] - 2 * self.padding if use_numpy: from .._base import DNNL_LIB if DNNL_LIB['DnnlConv2d_Gradient_of_Data']: from ..cpu_links import conv2d_gradient_of_data as cpu_conv2d_gradient_of_data from ..ndarray import numpyasdlarrayhandle input_f = numpyasdlarrayhandle(input_vals[0]) gradient_y = numpyasdlarrayhandle(input_vals[1]) gradient_x = numpyasdlarrayhandle(output_val) cpu_conv2d_gradient_of_data(input_f, gradient_y, gradient_x, self.padding, self.stride) else: output_val[:] = self.np_Conv2dGradient_data( N, C, H, W, input_vals[0], input_vals[1], padding=self.padding, stride=self.stride) else: from ..gpu_links import CuDNN_conv2d_gradient_of_data CuDNN_conv2d_gradient_of_data( input_vals[0], input_vals[1], output_val, padding=self.padding, padding2 = self.padding2, stride=self.stride, stream = stream_handle, profiler = None) def gradient(self, node, output_grad): raise NotImplementedError def infer_shape(self, node, input_shapes): """TODO: Your code here""" # print self.For_ResNet assert len(input_shapes) == 2 N = input_shapes[1][0] C = input_shapes[0][1] H = (input_shapes[1][2] - 1) * self.stride + \ input_shapes[0][2] - 2 * self.padding + (1 if self.For_ResNet and self.stride == 2 else 0) W = (input_shapes[1][3] - 1) * self.stride + \ input_shapes[0][3] - 2 * self.padding2 + (1 if self.For_ResNet and self.stride == 2 else 0) return (N, C, H, W) class Conv2d_Gradient_of_FilterOp(Op): # nodeA : input_x nodeB : gradient_Y def __call__(self, input_X, gradient_Y, padding=0, padding2=None, stride=1): new_node = Op.__call__(self) new_node.inputs = [input_X, gradient_Y] self.padding = padding if padding2 is None: self.padding2 = self.padding else: self.padding2 = padding2 self.stride = stride new_node.profiler = None if PROFILING_MODE == 1: new_node.profiler = profiler.CreateProfiler() if NAME_RULE == 0: new_node.name = "Conv2d_Gradient_of_FilterOp(%s, %s)" % ( input_X.name, gradient_Y.name) elif NAME_RULE == 1: new_node.name = "Conv2d_Gradient_of_FilterOp" else: new_node.name = "Conv2d_Gradient_of_FilterOp"+str(new_node.id) new_node.desc = new_node.name + \ "(%s, %s)" % (input_X.name, gradient_Y.name) return new_node def im2col(self, X, filter_H, filter_W, padding, stride): N, C, H, W = X.shape assert (H + 2 * padding - filter_H) % stride == 0 assert (W + 2 * padding - filter_W) % stride == 0 out_H = (H + 2 * padding - filter_H) / stride + 1 out_W = (W + 2 * padding - filter_W) / stride + 1 y_row_size = C * filter_H * filter_W y_col_size = out_H * out_W y_shape = (N, y_row_size, y_col_size) Y = np.empty(y_shape, dtype=X.dtype) for batch_index in range(N): for col_index in range(y_col_size): out_y = col_index / out_W out_x = col_index % out_W in_y = out_y * stride - padding in_x = out_x * stride - padding row_idx = 0 for c in range(0, C): for y in range(in_y, in_y + filter_H): for x in range(in_x, in_x + filter_W): if (x < 0 or x >= W or y < 0 or y >= H): Y[batch_index, row_idx, col_index] = 0 else: Y[batch_index, row_idx, col_index] = X[batch_index, c, y, x] row_idx += 1 return Y def np_Conv2dGradient_Filter(self, filter_outChannel, filter_inChannel, filter_H, filter_W, X, Y, padding=0, stride=1): """Implement a conv2d_transpose as a matrix multiply after im2col.""" X_N, X_C, X_H, X_W = X.shape Y_N, Y_C, Y_H, Y_W = Y.shape YY = Y.reshape((Y_N, Y_C, Y_H * Y_W)) # transformed to im2col Y # XX = X.reshape((X_N, X_C, X_W * X_H)) # transformed to im2col X im2col_XX = self.im2col(X, filter_H, filter_W, padding, stride) gradient_filter = np.zeros(shape=( filter_outChannel, filter_inChannel * filter_H * filter_W), dtype=Y.dtype) for i in range(X_N): gradient_filter += np.matmul(YY[i], im2col_XX[i].T) gradient_filter = gradient_filter.reshape( (filter_outChannel, filter_inChannel, filter_H, filter_W)) return gradient_filter # out_H = (H + 2 * padding - filter_H) / stride + 1 # out_W = (W + 2 * padding - filter_W) / stride + 1 def profile(self, node, input_vals, output_val, is_static = True): assert len(input_vals) == 2 if is_static: # input memory node.profiler.input_memory = get_array_memory(input_vals[0].shape) # get_array_memory(input_vals[1].shape) # output memory node.profiler.output_memory = get_array_memory(output_val.shape) # no workspace node.profiler.workspace_memory = 0 # execute time node.profiler.time = node.profiler.output_memory / 4 * profiler.FLOPS_PER_SECOND else: # import time # start = time.time() from ..gpu_links import CuDNN_conv2d_gradient_of_filter CuDNN_conv2d_gradient_of_filter( input_vals[0], input_vals[1], output_val, padding=self.padding, padding2=self.padding2, stride=self.stride, stream = None, profiler = node.profiler) # node.profiler.time = time.time() - start def compute(self, node, input_vals, output_val, use_numpy=True, stream_handle=None): assert len(input_vals) == 2 f_N = input_vals[1].shape[1] f_C = input_vals[0].shape[1] f_H = input_vals[1].shape[2] + 2 * self.padding - \ (input_vals[1].shape[2] - 1) * self.stride f_W = input_vals[1].shape[3] + 2 * self.padding - \ (input_vals[1].shape[3] - 1) * self.stride if use_numpy: from .._base import DNNL_LIB if DNNL_LIB['DnnlConv2d_Gradient_of_Filter']: from ..cpu_links import conv2d_gradient_of_filter as cpu_conv2d_gradient_of_filter from ..ndarray import numpyasdlarrayhandle input_x = numpyasdlarrayhandle(input_vals[0]) gradient_y = numpyasdlarrayhandle(input_vals[1]) gradient_f = numpyasdlarrayhandle(output_val) cpu_conv2d_gradient_of_filter(input_x, gradient_y, gradient_f, self.padding, self.stride) else: output_val[:] = self.np_Conv2dGradient_Filter( f_N, f_C, f_H, f_W, input_vals[0], input_vals[1], padding=self.padding, stride=self.stride) else: from ..gpu_links import CuDNN_conv2d_gradient_of_filter CuDNN_conv2d_gradient_of_filter( input_vals[0], input_vals[1], output_val, padding=self.padding, padding2=self.padding2, stride=self.stride, stream = stream_handle, profiler = None) def gradient(self, node, output_grad): raise NotImplementedError def infer_shape(self, node, input_shapes): """TODO: Your code here""" assert len(input_shapes) == 2 f_N = input_shapes[1][1] f_C = input_shapes[0][1] f_H = input_shapes[0][2] + 2 * self.padding - \ (input_shapes[1][2] - 1) * self.stride f_W = input_shapes[0][3] + 2 * self.padding2 - \ (input_shapes[1][3] - 1) * self.stride return (f_N, f_C, f_H, f_W) def conv2d_op(node_A, node_B, padding=0, padding2=None, stride=1, For_ResNet = False): """Conv2d node. Parameters: ---- node_A : Node Input data node. node_B : Node Input filter node. padding : Padding size. stride : Stride size. Returns: ---- A new Node instance created by Op. """ return Conv2dOp()(node_A, node_B, padding, padding2, stride, For_ResNet) def conv2d_gradient_of_data_op(node_A, node_B, padding=0, padding2 = None,stride=1, For_ResNet = False): """Gradient node of data of conv2d. Parameters: ---- node_A : Node Filter node. node_B : Node Previous gradient node. padding : Padding size. stride : Stride size. Returns: ---- A new Node instance created by Op. """ return Conv2d_Gradient_of_DataOp()(node_A, node_B, padding, padding2, stride, For_ResNet) def conv2d_gradient_of_filter_op(input_X, gradient_Y, padding=0, padding2=None, stride=1): """Gradient node of filters of conv2d. Parameters: ---- input_X : Input data of conv2d. gradient_Y : Gradient array. padding : Padding size. stride : Stride size. Returns: ---- A new Node instance created by Op. """ return Conv2d_Gradient_of_FilterOp()(input_X, gradient_Y, padding, padding2, stride)

41.900424

166

0.574809

2,663

19,777

3.993616

0.056327

0.045698

0.042125

0.017113

0.854161

0.789845

0.771415

0.702022

0.652374

0.63244

0

0.024242

0.324215

19,777

471

167

41.989384

0.771493

0.090762

0

0.646154

0

0.016241

0.012406

0

0.002123

0.052308

1

0.073846

false

0

0.061538

0.003077

0.193846

0

null

0

1

0

1

0

null

0

5

f32f60990485375c0c02caad217c70dd4decf3dc

7,874

py

Python

Classification/models/simple.py

amazon-research/network-deconvolution-pp

99e27ecec7d27c7c4c3fb230e96005bdcbf6f2ce

[ "Apache-2.0" ]

6

2021-10-16T15:29:06.000Z

2022-02-17T12:33:52.000Z

Classification/models/simple.py

amazon-research/network-deconvolution-pp

99e27ecec7d27c7c4c3fb230e96005bdcbf6f2ce

[ "Apache-2.0" ]

3

2021-04-02T19:47:05.000Z

2021-10-12T23:11:18.000Z

Classification/models/simple.py

amazon-research/network-deconvolution-pp

99e27ecec7d27c7c4c3fb230e96005bdcbf6f2ce

[ "Apache-2.0" ]

1

2021-10-30T04:50:14.000Z

import torch import torch.nn as nn import torch.nn.functional as F from .deconv import * class SimpleCNN_v1(nn.Module): def __init__(self, channels_in=3,kernel_size=32,num_outputs=10,method=2): super(SimpleCNN_v1, self).__init__() if method==1: self.conv = nn.Conv2d(channels_in, num_outputs, kernel_size) elif method==2: self.conv = nn.Sequential(ChannelDeconv(num_groups=3),nn.Conv2d(channels_in, num_outputs, kernel_size)) elif method==3: self.conv=FastDeconv(channels_in,num_outputs,kernel_size) elif method==4: #1<= num_groups <= kernel_size*kernel_size*channels_in num_groups=32 self.deconv = ChannelDeconv(num_groups=num_groups) self.conv=nn.Conv2d(channels_in, num_outputs, kernel_size) self.method=method def forward(self, x): N, C, H, W = x.shape if self.method==4: x=self.deconv(x.view(N,-1,1,1)).view(N,C,H,W) out=self.conv(x).view(x.shape[0],-1) return out class SimpleCNN_v2(nn.Module): def __init__(self, channels_in=3,kernel_size=3,num_outputs=10,hidden_channels=4,hidden_layers=10,method=2): super(SimpleCNN_v2, self).__init__() self.method=method self.layers=nn.ModuleList() if method==1: self.layers.append(nn.Sequential(nn.Conv2d(channels_in,hidden_channels,kernel_size),nn.BatchNorm2d(hidden_channels),nn.ReLU())) padding = 0 for i in range(hidden_layers): if i>=12: padding=1 self.layers.append(nn.Sequential(nn.Conv2d(hidden_channels,hidden_channels+4,kernel_size,padding=padding),nn.BatchNorm2d(hidden_channels+4),nn.ReLU())) hidden_channels=hidden_channels+4 self.layers.append(nn.Sequential(nn.Conv2d(hidden_channels,num_outputs,kernel_size),nn.BatchNorm2d(num_outputs))) elif method==2: num_groups=16 self.layers.append(nn.Sequential(DeConv2d(channels_in,hidden_channels,kernel_size,mode=3,num_groups=min(num_groups,channels_in)),nn.ReLU())) padding = 0 for i in range(hidden_layers): if i>=12: padding=1 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,hidden_channels+4,kernel_size,padding=padding,mode=3,num_groups=min(num_groups,hidden_channels)),nn.ReLU())) hidden_channels=hidden_channels+4 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,num_outputs,kernel_size,mode=3,num_groups=min(num_groups,hidden_channels)))) """ self.layers.append(nn.Sequential(ChannelDeconv(channels_in),nn.Conv2d(channels_in,hidden_channels,kernel_size),nn.ReLU())) padding = 0 for i in range(hidden_layers): if i>=12: padding=1 self.layers.append(nn.Sequential(ChannelDeconv(min(num_groups,hidden_channels)),nn.Conv2d(hidden_channels,hidden_channels+4,kernel_size,padding=padding),nn.ReLU())) hidden_channels=hidden_channels+4 self.layers.append(nn.Sequential(ChannelDeconv(min(num_groups,hidden_channels)),nn.Conv2d(hidden_channels,num_outputs,kernel_size))) """ elif method==3: num_groups=16 self.layers.append(nn.Sequential(DeConv2d(channels_in,hidden_channels,kernel_size,num_groups=min(num_groups,channels_in)),nn.ReLU())) padding = 0 for i in range(hidden_layers): if i>=12: padding=1 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,hidden_channels+4,kernel_size,padding=padding,num_groups=min(num_groups,hidden_channels)),nn.ReLU())) hidden_channels=hidden_channels+4 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,num_outputs,kernel_size,num_groups=min(num_groups,hidden_channels)))) elif method==4: self.layers.append(nn.Sequential(DeConv2d(channels_in,hidden_channels,kernel_size,mode=2),nn.ReLU())) padding = 0 for i in range(hidden_layers): if i>=12: padding=1 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,hidden_channels+4,kernel_size,padding=padding,mode=2),nn.ReLU())) hidden_channels=hidden_channels+4 self.layers.append(nn.Sequential(DeConv2d(hidden_channels,num_outputs,kernel_size,mode=2))) print(hidden_channels,'hidden channels in the final layer.') def forward(self, x): N, C, H, W = x.shape encode=[x] for i in range(len(self.layers)): x=self.layers[i](x) encode.append(x) out=F.avg_pool2d(x,x.shape[-2:]) #print([e.abs().max().item() for e in encode] ) #print([e.var().item() for e in encode]) return out.view(out.shape[0],-1) class MLP(nn.Module): def __init__(self,input_nodes, num_outputs=10,hidden_nodes=128,hidden_layers=3,method=1): super(MLP, self).__init__() self.layers = nn.ModuleList() if method == 1: self.layers.append( nn.Sequential(nn.Linear(input_nodes, hidden_nodes, bias=True))) for i in range(hidden_layers-2): self.layers.append(nn.Sequential(nn.Sigmoid(),nn.Linear(hidden_nodes, hidden_nodes,bias=True))) self.linear = nn.Sequential(nn.Sigmoid(),nn.Linear(hidden_nodes, num_outputs, bias=True)) if method == 2: self.layers.append( nn.Sequential(nn.Linear(input_nodes, hidden_nodes, bias=False))) for i in range(hidden_layers-2): self.layers.append(nn.Sequential(nn.BatchNorm1d(hidden_nodes),nn.Sigmoid(),nn.Linear(hidden_nodes, hidden_nodes,bias=False))) self.linear = nn.Sequential(nn.BatchNorm1d(hidden_nodes),nn.Sigmoid(),nn.Linear(hidden_nodes, num_outputs, bias=False)) elif method == 3: num_groups=32 self.layers.append( nn.Sequential(ChannelDeconv(num_groups),nn.Linear(input_nodes, hidden_nodes, bias=False))) for i in range(hidden_layers - 2): self.layers.append(nn.Sequential(nn.Sigmoid(),ChannelDeconv(num_groups), nn.Linear(hidden_nodes, hidden_nodes, bias=False))) self.linear = nn.Sequential(nn.Sigmoid(),ChannelDeconv(num_groups), nn.Linear(hidden_nodes, num_outputs, bias=False)) elif method == 4: num_groups=32 self.layers.append( nn.Sequential(ChannelDeconv(num_groups),nn.Linear(input_nodes, hidden_nodes, bias=False))) for i in range(hidden_layers - 2): self.layers.append(nn.Sequential(nn.BatchNorm1d(hidden_nodes),nn.Sigmoid(),ChannelDeconv(num_groups), nn.Linear(hidden_nodes, hidden_nodes, bias=False))) self.linear = nn.Sequential(nn.BatchNorm1d(hidden_nodes),nn.Sigmoid(),ChannelDeconv(num_groups), nn.Linear(hidden_nodes, num_outputs, bias=False)) print(hidden_nodes, ' hidden nodes in each layer.') print(len(self.layers)+1, ' middle layers.') for m in self.modules(): if isinstance(m, nn.Linear): if m.bias is not None: nn.init.constant_(m.bias, 0) def forward(self, x): encode=[x.view(x.shape[0],-1)] encode.append(self.layers[0](encode[-1])) for i, layer in enumerate(self.layers[1:]): encode.append(layer(encode[-1])) encode.append(self.linear(encode[-1])) return encode[-1]

44.485876

182

0.625349

1,027

7,874

4.607595

0.09445

0.121302

0.077768

0.087489

0.776205

0.746619

0.730347

0.719992

0.700549

0.654057

0

0.02294

0.252604

7,874

176

183

44.738636

0.781138

0.017526

0

0.495935

0

0.011023

0

1

0.04878

false

0

0.03252

0

0.130081

0.02439

0

null

0

1

0

null

0

5

f33236b5ee6ac9ea2ecec2c6df7d338d1270dba6

42

py

Python

tests/__init__.py

braedon/oauthlib

6875e3ac513a3828c3328d4f585d4c38b2b2c698

[ "BSD-3-Clause" ]

954

2018-01-27T11:00:51.000Z

2022-03-31T16:04:42.000Z

tests/__init__.py

braedon/oauthlib

6875e3ac513a3828c3328d4f585d4c38b2b2c698

[ "BSD-3-Clause" ]

274

2018-01-27T08:36:01.000Z

2022-03-22T04:40:40.000Z

tests/__init__.py

braedon/oauthlib

6875e3ac513a3828c3328d4f585d4c38b2b2c698

[ "BSD-3-Clause" ]

191

2018-02-15T12:12:45.000Z

2022-03-31T22:38:13.000Z

import oauthlib oauthlib.set_debug(True)

10.5

24

0.833333

6

42

5.666667

0.833333

0

0.095238

42

3

25

14

0.894737

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f36e4fe951b9fad7685cd6a951352d4db7e4f77d

20

py

Python

tests/test_bad_app/telegrambot.py

gassan/django-telegrambot

e38076b4fc0e100700de8640ed3c1a2fa2985fe0

[ "BSD-3-Clause" ]

245

2016-01-26T16:24:41.000Z

2022-03-07T08:00:36.000Z

tests/test_bad_app/telegrambot.py

gassan/django-telegrambot

e38076b4fc0e100700de8640ed3c1a2fa2985fe0

[ "BSD-3-Clause" ]

49

2016-09-17T02:26:50.000Z

2021-12-20T06:53:19.000Z

tests/test_bad_app/telegrambot.py

gassan/django-telegrambot

e38076b4fc0e100700de8640ed3c1a2fa2985fe0

[ "BSD-3-Clause" ]

97

2016-04-17T22:05:19.000Z

2022-03-24T11:04:48.000Z

raise ImportError()

10

19

0.8

2

20

8

1

0

0.1

20

1

20

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f3897fd1c4851d664df67ce0c53b269e95e4785b

90,167

py

Python

test_main.py

jrmh96/algorithm_toolkit

4a39e26d89973c6d1e229952f46d413b93c27df9

[ "MIT" ]

9

2019-02-25T03:41:14.000Z

2021-02-04T19:47:58.000Z

test_main.py

jrmh96/algorithm_toolkit

4a39e26d89973c6d1e229952f46d413b93c27df9

[ "MIT" ]

24

2019-08-23T17:04:00.000Z

2022-03-11T23:41:08.000Z

test_main.py

jrmh96/algorithm_toolkit

4a39e26d89973c6d1e229952f46d413b93c27df9

[ "MIT" ]

4

2019-03-05T02:14:20.000Z

2020-02-12T20:11:16.000Z

import json import os import re import shutil import subprocess import sys import unittest import warnings from logging import StreamHandler from flask_testing import TestCase from wtforms.fields import core as wtfields from wtforms import widgets as wtwidgets from wtforms.validators import InputRequired, Optional from t_utils import ( get_algorithms, get_chains, get_updated_chain, get_chain_algs, get_test_run_chain, test_algorithm_form_data, get_chain_builder_block_list, get_chain_builder_additional_block, get_chain_builder_block_scripts, get_chain_builder_additional_script, get_chain_builder_chain_blocks ) os.environ['ATK_CONFIG'] = os.path.join(os.path.dirname( os.path.abspath(__file__)), 't_config.py') updated_chain = get_updated_chain() algs = get_algorithms() this_path = os.path.dirname(os.path.abspath(__file__)) test_alg_path = os.path.join(this_path, 'test_project') block_list = get_chain_builder_block_list() block_scripts = get_chain_builder_block_scripts() with warnings.catch_warnings(): warnings.filterwarnings("ignore", category=DeprecationWarning) class ATKTestCase(TestCase): def create_app(self): from algorithm_toolkit import app return app def setUp(self): sys.path.append(test_alg_path) subprocess.call(['alg', 'cp', 'test_project', '-e', '-q']) def tearDown(self): # pass shutil.rmtree(test_alg_path) def test_config_vars(self): print('Ensure environment is set up properly') config = self.app.config self.assertEqual(type(config['LOG_HANDLERS'][0]), StreamHandler) self.assertEqual( config['CORS_ORIGIN_WHITELIST'], [ 'http://localhost', 'https://mytiledriver.com', 'https://tdprocess.com' ] ) self.assertEqual(config['ATK_PATH'], test_alg_path) self.assertEqual( self.app.jinja_loader.searchpath[0], test_alg_path + '/templates') def test_atk_home(self): print('Home page should display correctly') chain_def = get_chains() response = self.client.get('/') self.assert200(response) self.assertTemplateUsed('index.html') self.assertContext('nav', 'index') self.assertContext('docs', False) self.assertContext('chains', chain_def) def test_algorithm_home(self): print('Algorithm list page should display correctly') chain_def = get_chains() response = self.client.get('/algorithms/') self.assert200(response) self.assertTemplateUsed('algorithms.html') self.assertContext('nav', 'algorithms') self.assertContext('docs', False) self.assertContext('chains', chain_def) self.assertContext('algs', sorted(algs, key=lambda a: a['name'])) def test_list_chains_no_key(self): print('List chains should fail if the API key is missing') response = self.client.get('/list_chains/') self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') def test_list_chains(self): print('List chains should ... list the chains') chain_def = get_chains() response = self.client.get('/list_chains/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( chain_def, separators=(',', ':'), sort_keys=True) + '\n') def test_chain_info_no_key(self): print('Chain info should fail if the API key is missing') response = self.client.get('/chain_info/map_tiles/') self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') def test_chain_info(self): print('Chain info should ... provide chain info') chain_def = get_chains() response = self.client.get('/chain_info/map_tiles/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( chain_def['map_tiles'], separators=(',', ':'), sort_keys=True ) + '\n') def test_chain_algs_no_key(self): print('Chain algorithms should fail if the API key is missing') response = self.client.get('/chain_algorithms/map_tiles/') self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') def test_chain_algs(self): print('Chain algorithms should list the algorithms in a chain') chain_algs = get_chain_algs() response = self.client.get( '/chain_algorithms/map_tiles/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( chain_algs, separators=(',', ':'), sort_keys=True ) + '\n') # add a required parameter and ensure it displays in chain_algorithms r_param = { "default_value": "", "field_type": "text", "display_name": "Useless Yet Required Parameter", "name": "useless_required", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything, and yet you must", "custom_validation": None, "description": "A completely useless yet required parameter.", "source": "user" } chain_algs[1]['required_parameters'].append(r_param) json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') chains_file = os.path.join(test_alg_path, 'chains.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: stitch_tiles['required_parameters'].append(r_param) alg_file.write(json.dumps(stitch_tiles)) # new parameter is missing fron chains.json # atk should assume this is a user parameter response = self.client.get( '/chain_algorithms/map_tiles/?api_key=testkey') self.assert200(response) # add param to chains.json chain_def = get_chains() chain_def['map_tiles'][1]['parameters']['useless_required'] = { 'source': 'user' } # print(chain_def) with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) # should now be included response = self.client.get( '/chain_algorithms/map_tiles/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( chain_algs, separators=(',', ':'), sort_keys=True ) + '\n') # add an optional parameter and ensure it displays in chain_algorithms o_param = { "default_value": "", "field_type": "text", "display_name": "Useless Parameter", "name": "useless", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything", "custom_validation": None, "description": "A completely useless parameter.", "source": "user" } chain_algs[1]['optional_parameters'].append(o_param) json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') chains_file = os.path.join(test_alg_path, 'chains.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: stitch_tiles['optional_parameters'].append(o_param) alg_file.write(json.dumps(stitch_tiles)) # new parameter is missing fron chains.json # but should be fine response = self.client.get( '/chain_algorithms/map_tiles/?api_key=testkey') self.assert200(response) # add param to chains.json chain_def['map_tiles'][1]['parameters']['useless'] = { 'source': 'user' } # print(chain_def) with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) # should now be included response = self.client.get( '/chain_algorithms/map_tiles/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( chain_algs, separators=(',', ':'), sort_keys=True ) + '\n') def test_alg_info_no_key(self): print('Algorithm info should fail if the API key is missing') response = self.client.get('/algorithm_info/getmaptiles_roi/') self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') def test_alg_info(self): print('Algorithm info should ... provide algorithm info') alg = [x for x in algs if x['name'] == 'getmaptiles_roi'][0] response = self.client.get( '/algorithm_info/getmaptiles_roi/?api_key=testkey') self.assert200(response) self.assertEqual(response.data, json.dumps( alg, separators=(',', ':'), sort_keys=True ) + '\n') def test_create_algorithms_get(self): from algorithm_toolkit.forms import ( AlgorithmCreateForm, AlgorithmOutputForm, AlgorithmParameterForm ) print('Create algorithm page should display correctly') chain_def = get_chains() response = self.client.get('/algorithms/create/') form = self.get_context_variable('form') o_form = self.get_context_variable('o_form') p_form = self.get_context_variable('p_form') self.assert200(response) self.assertTemplateUsed('create_algorithm.html') self.assertContext('nav', 'algorithms') self.assertContext('docs', False) self.assertContext('chains', chain_def) self.assertContext('algs', sorted([x['name'] for x in algs])) self.assertEqual(type(form), AlgorithmCreateForm) self.assertEqual(type(o_form), AlgorithmOutputForm) self.assertEqual(type(p_form), AlgorithmParameterForm) # test without the private flag json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: del stitch_tiles['private'] alg_file.write(json.dumps(stitch_tiles)) response = self.client.get('/algorithms/create/stitch_tiles/') self.assert200(response) self.assertContext( 'algs', sorted([x['name'] for x in algs if x['name'] != 'stitch_tiles']) ) def test_create_algorithms_post(self): print('Create algorithm page should create an algorithm correctly') data = test_algorithm_form_data() data['parameters'] = json.dumps( data['parameters'], separators=(', ', ': '), sort_keys=True) data['outputs'] = json.dumps( data['outputs'], separators=(', ', ': '), sort_keys=True) data['api_key'] = 'testkey' new_alg_path = os.path.join( test_alg_path, 'algorithms', 'add_numbers') response = self.client.post( '/algorithms/create/', data=data, follow_redirects=True) self.assert200(response) self.assertTrue(os.path.exists(new_alg_path)) response = self.client.get('/algorithms/create/add_numbers/') form = self.get_context_variable('form') self.assertEqual(form.name.data, 'add_numbers') self.assertEqual( form.display_name.data, 'Add two numbers' ) self.assertEqual(form.license.data, 'Proprietary') self.assertEqual(form.private.data, True) self.assertEqual(form.version.data, '0.0.1') self.assertEqual( form.homepage.data, 'google.com') self.assertEqual( form.description.data, 'Add two numbers together to get a result.' ) self.assertEqual( json.loads(form.parameters.data), json.loads(data['parameters'])) self.assertEqual( json.loads(form.outputs.data), json.loads(data['outputs'])) def test_edit_algorithms_get(self): from algorithm_toolkit.forms import ( AlgorithmCreateForm, AlgorithmOutputForm, AlgorithmParameterForm ) print('Edit algorithm page should display correctly') def add_required(p, r): p['required'] = r return p chain_def = get_chains() this_alg = [x for x in algs if x['name'] == 'getmaptiles_roi'][0] r_params = [add_required( x, True) for x in this_alg['required_parameters']] o_params = [add_required( x, False) for x in this_alg['optional_parameters']] params = r_params + o_params response = self.client.get('/algorithms/create/getmaptiles_roi/') form = self.get_context_variable('form') o_form = self.get_context_variable('o_form') p_form = self.get_context_variable('p_form') self.assert200(response) self.assertTemplateUsed('create_algorithm.html') self.assertContext('nav', 'algorithms') self.assertContext('docs', False) self.assertContext('chains', chain_def) self.assertContext( 'algs', sorted([x['name'] for x in algs if x['name'] != 'getmaptiles_roi']) ) self.assertEqual(type(form), AlgorithmCreateForm) self.assertEqual(type(o_form), AlgorithmOutputForm) self.assertEqual(type(p_form), AlgorithmParameterForm) self.assertEqual(form.name.data, 'getmaptiles_roi') self.assertEqual(form.display_name.data, 'Get Map Tiles In ROI') self.assertEqual(form.license.data, 'MIT') self.assertEqual(form.private.data, False) self.assertEqual(form.version.data, '0.0.1') self.assertEqual( form.homepage.data, 'https://tiledriver.com/developer') self.assertEqual( form.description.data, 'This algorithm will gather up map tiles at a given zoom level ' 'that intersect with the provided polygon. The source is the ' 'national map provided by USGS. All tiles will be written out ' 'to disk at a specified location. This location is also saved ' 'onto the chain ledger.' ) temp_params = json.loads(form.parameters.data) for p in temp_params: p.pop('original_name', None) temp_outs = json.loads(form.outputs.data) for out in temp_outs: out.pop('original_name', None) self.assertEqual(temp_params, params) self.assertEqual(temp_outs, this_alg['outputs']) def test_edit_algorithms_post(self): print('Edit algorithm page should modify an algorithm correctly') # get initial algorithm data response = self.client.get('/algorithms/create/getmaptiles_roi/') form = self.get_context_variable('form') this_alg = form.data # modify it this_alg['display_name'] = 'Do something crazy with map tiles' this_alg['license'] = 'GNU LGPLv3' this_alg['private'] = True this_alg['version'] = '0.0.2' this_alg['homepage'] = 'google.com' this_alg['description'] = 'Do some stuff, I dunno.' this_alg['api_key'] = 'testkey' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') # should see new data reflected in the algorithm response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('GNU LESSER GENERAL PUBLIC LICENSE' in lic) self.assertEqual(new_form.name.data, 'getmaptiles_roi') self.assertEqual( new_form.display_name.data, 'Do something crazy with map tiles') self.assertEqual(new_form.license.data, 'GNU LGPLv3') self.assertEqual(new_form.private.data, True) self.assertEqual(new_form.version.data, '0.0.2') self.assertEqual(new_form.homepage.data, 'google.com') self.assertEqual( new_form.description.data, 'Do some stuff, I dunno.') def test_change_algorithm_name(self): print('A user should be able to change the name of an algorithm') # get initial algorithm data response = self.client.get('/algorithms/create/getmaptiles_roi/') form = self.get_context_variable('form') this_alg = form.data # modify it this_alg['name'] = 'thingie_splunge' new_alg_path = os.path.join( test_alg_path, 'algorithms', 'thingie_splunge') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/thingie_splunge/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.name.data, 'thingie_splunge') self.assertTrue(os.path.exists(new_alg_path)) def test_edit_algorithm_not_found(self): print( 'A user trying to edit a non-existing algorithm should get a 404') # get initial algorithm data response = self.client.get('/algorithms/create/thingie_splunge/') self.assert404(response) self.assertEqual(response.data, 'Algorithm not found') def test_edit_algorithm_no_private_field(self): print( 'An algorithm should still be saved if the private flag is missing' ) # get initial algorithm data response = self.client.get('/algorithms/create/getmaptiles_roi/') form = self.get_context_variable('form') this_alg = form.data # modify it del this_alg['private'] response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.private.data, False) def test_edit_algorithm_change_license(self): print('A user should be able to change the license of an algorithm') # get initial algorithm data response = self.client.get('/algorithms/create/getmaptiles_roi/') form = self.get_context_variable('form') this_alg = form.data # modify it to AGPL this_alg['license'] = 'GNU AGPLv3' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'GNU AGPLv3') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('GNU AFFERO GENERAL PUBLIC LICENSE' in lic) # modify it to GPL this_alg['license'] = 'GNU GPLv3' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'GNU GPLv3') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('GNU GENERAL PUBLIC LICENSE' in lic) # modify it to Unlicense this_alg['license'] = 'The Unlicense' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'The Unlicense') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('http://unlicense.org' in lic) # modify it to Apache this_alg['license'] = 'Apache' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'Apache') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('http://www.apache.org/licenses/' in lic) # modify it to Mozilla this_alg['license'] = 'Mozilla' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'Mozilla') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('Mozilla Public License Version 2.0' in lic) # modify it to MIT this_alg['license'] = 'MIT' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'MIT') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue('MIT License' in lic) # modify it to Propietary this_alg['license'] = 'Proprietary' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'Proprietary') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue(lic == '') # modify it to Other this_alg['license'] = 'Other' new_license_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'LICENSE') response = self.client.post( '/algorithms/create/getmaptiles_roi/', data=this_alg, follow_redirects=True ) self.assert200(response) response = self.client.get('/algorithms/create/getmaptiles_roi/') self.assert200(response) new_form = self.get_context_variable('form') self.assertEqual(new_form.license.data, 'Other') with open(new_license_path, 'r') as lic_file: lic = lic_file.read() self.assertTrue(lic == '') def test_copy_algorithms(self): print('Users should be able to copy an algorithm') def add_required(p, r): p['required'] = r return p # make a copy response = self.client.get( '/algorithm/copy/getmaptiles_roi/', follow_redirects=True) self.assert200(response) # ensure we're redirected to algorithms page self.assertTemplateUsed('algorithms.html') new_alg_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi_copy') self.assertTrue(os.path.exists(new_alg_path)) # ensure copy has the right data this_alg = [x for x in algs if x['name'] == 'getmaptiles_roi'][0] r_params = [add_required( x, True) for x in this_alg['required_parameters']] o_params = [add_required( x, False) for x in this_alg['optional_parameters']] params = r_params + o_params response = self.client.get('/algorithms/create/getmaptiles_roi_copy/') form = self.get_context_variable('form') self.assert200(response) self.assertEqual(form.name.data, 'getmaptiles_roi_copy') self.assertEqual(form.display_name.data, 'Get Map Tiles In ROI') self.assertEqual(form.license.data, 'MIT') self.assertEqual(form.private.data, False) self.assertEqual(form.version.data, '0.0.1') self.assertEqual( form.homepage.data, 'https://tiledriver.com/developer') self.assertEqual( form.description.data, 'This algorithm will gather up map tiles at a given zoom level ' 'that intersect with the provided polygon. The source is the ' 'national map provided by USGS. All tiles will be written out ' 'to disk at a specified location. This location is also saved ' 'onto the chain ledger.' ) temp_params = json.loads(form.parameters.data) for p in temp_params: p.pop('original_name', None) temp_outs = json.loads(form.outputs.data) for out in temp_outs: out.pop('original_name', None) self.assertEqual(temp_params, params) self.assertEqual(temp_outs, this_alg['outputs']) # make a second copy response = self.client.get( '/algorithm/copy/getmaptiles_roi/', follow_redirects=True) self.assert200(response) new_alg_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi_copy1') self.assertTrue(os.path.exists(new_alg_path)) def test_delete_algorithms(self): print('Users should be able to delete an algorithm') # set working directory os.chdir(test_alg_path) # delete the algorithm response = self.client.get( '/algorithm/delete/getmaptiles_roi/', follow_redirects=True) self.assert200(response) # ensure we're redirected to algorithms page self.assertTemplateUsed('algorithms.html') new_alg_path = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi') self.assertFalse(os.path.exists(new_alg_path)) # ensure references are removed from chains.json chain_path = os.path.join(test_alg_path, 'chains.json') with open(chain_path, 'r') as chain_file: chains = chain_file.read() self.assertFalse('getmaptiles_roi' in chains) # reset working directory os.chdir(this_path) def test_chain_builder(self): print('Chain builder page should display correctly') chain_def = get_chains() additional_block = get_chain_builder_additional_block() additional_script = get_chain_builder_additional_script() response = self.client.get('/chain_builder/') blocks = self.get_context_variable('block_list') scripts = self.get_context_variable('block_scripts') self.assert200(response) self.assertTemplateUsed('chain_builder.html') self.assertContext('nav', 'chain_builder') self.assertContext('docs', False) self.assertContext('chains', chain_def) for idx, block in enumerate(blocks): temp_block = re.sub(r'colour="(\d+)"', 'colour="222"', block) self.assertEqual(temp_block, block_list[idx]) for idx, script in enumerate(scripts): temp_script = re.sub( r'setColour$(\d+)$', 'setColour(222)', script) self.assertEqual(temp_script, block_scripts[idx]) self.assertContext('chain_obj', json.dumps(chain_def)) # add additional algorithm data = test_algorithm_form_data() data['name'] = 'beamio/add_numbers' data['parameters'] = json.dumps( data['parameters'], separators=(', ', ': '), sort_keys=True) data['outputs'] = json.dumps( data['outputs'], separators=(', ', ': '), sort_keys=True) data['api_key'] = 'testkey' response = self.client.post( '/algorithms/create/', data=data, follow_redirects=True) response = self.client.get('/chain_builder/') blocks = self.get_context_variable('block_list') scripts = self.get_context_variable('block_scripts') for idx, block in enumerate(blocks): temp_block = re.sub(r'colour="(\d+)"', 'colour="222"', block) self.assertEqual(temp_block, additional_block[idx]) for idx, script in enumerate(scripts): temp_script = re.sub( r'setColour$(\d+)$', 'setColour(222)', script) self.assertEqual(temp_script, additional_script[idx]) # test removing parameters json_file = os.path.join( test_alg_path, 'algorithms', 'beamio', 'add_numbers', 'algorithm.json' ) with open(json_file, 'r') as alg_file: add_numbers = json.load(alg_file) with open(json_file, 'w') as alg_file: add_numbers['required_parameters'] = [] alg_file.write(json.dumps(add_numbers)) response = self.client.get('/chain_builder/') temp_script = self.get_context_variable('block_scripts')[3] self.assert200(response) self.assertFalse('Required Input Fields:' in temp_script) self.assertTrue('Optional Input Fields:' in temp_script) with open(json_file, 'w') as alg_file: del add_numbers['required_parameters'] del add_numbers['optional_parameters'] alg_file.write(json.dumps(add_numbers)) response = self.client.get('/chain_builder/') temp_script = self.get_context_variable('block_scripts')[3] self.assert200(response) self.assertFalse('Required Input Fields:' in temp_script) self.assertFalse('Optional Input Fields:' in temp_script) def test_chain_builder_get_blocks(self): print( 'When a user requests a chain in chain builder, ' 'the chain blocks should display correctly.' ) chain_blocks = get_chain_builder_chain_blocks() response = self.client.get('/chain_builder/get_blocks/map_tiles/') temp_blocks = re.sub( r'<block type="(\w+)" id="\w+"', r'<block type="\1" id="testid"', response.data ) self.assert200(response) self.assertEqual(temp_blocks, chain_blocks) # add an optional parameter o_param = { "default_value": "", "field_type": "text", "display_name": "Useless Parameter", "name": "useless", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything", "custom_validation": None, "description": "A completely useless parameter.", } json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') chains_file = os.path.join(test_alg_path, 'chains.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: stitch_tiles['optional_parameters'].append(o_param) alg_file.write(json.dumps(stitch_tiles)) # add param to chains.json chain_def = get_chains() chain_def['map_tiles'][1]['parameters']['useless'] = { 'source': 'user' } with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) new_block = ( '<value name="useless">\n' '<block type="user_input" id="testid">\n' '<data>input</data>\n' ) response = self.client.get('/chain_builder/get_blocks/map_tiles/') temp_blocks = re.sub( r'<block type="(\w+)" id="\w+"', r'<block type="\1" id="testid"', response.data ) self.assert200(response) self.assertTrue(new_block in temp_blocks) def test_update_chains_error(self): print( 'If update_chains is called without a chains ' 'value, atk should throw an error' ) response = self.client.post('/chain_builder/update_chains/', data={}) self.assert400(response) self.assertEqual(response.data, 'Missing chain definitions') def test_update_chains(self): print('Update chains should ... update the chains') chain_list = '<a class="dropdown-item" href="' chain_list += '/test_run/map_tiles/">map_tiles</a>' chain_list += '<a class="dropdown-item" href="' chain_list += '/test_run/do_some_math/">do_some_math</a>' new_chain_path = os.path.join(test_alg_path, 'chains.json') response = self.client.post( '/chain_builder/update_chains/', data={'chains': json.dumps(updated_chain)} ) with open(new_chain_path) as new_chain_file: new_chains = new_chain_file.read() self.assert200(response) self.assertEqual(json.loads(new_chains), updated_chain) self.assertEqual(response.data, chain_list) def test_main_errors(self): print( 'If main is called without proper request ' 'values, atk should throw an error' ) # no api key response = self.client.post('/main/', data={}) self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') # no chain parameter response = self.client.post('/main/', data={'api_key': 'testkey'}) self.assert400(response) self.assertEqual(response.data, 'Missing chain parameter in request') # chain parameter is not json serializable response = self.client.post( '/main/', data={'chain': 'splunge', 'api_key': 'testkey'}) self.assert400(response) self.assertEqual( response.data, 'Chain parameter not properly formatted') # no key for chain name in chain parameter response = self.client.post( '/main/', data={ 'chain': '{"thingie": "splunge"}', 'api_key': 'testkey'}) self.assert400(response) self.assertEqual(response.data, 'Chain name not defined') # no key for algorithms response = self.client.post( '/main/', data={ 'chain': '{"chain_name": "splunge"}', 'api_key': 'testkey'}) self.assert400(response) self.assertEqual(response.data, 'Algorithms not defined') # chain name does not exist response = self.client.post( '/main/', data={ 'chain': '{"chain_name": "splunge", "algorithms": []}', 'api_key': 'testkey' }) self.assert404(response) self.assertEqual(response.data, 'Chain name not found') # non-existent algorithm name test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 extra_alg = { "name": "thingie", "parameters": {} } test_run_chain['algorithms'].append(extra_alg) data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } response = self.client.post('/main/', data=data) self.assert400(response) self.assertEqual( json.loads(response.data), { "error_list": { "error": "Algorithm not found", "parameter": "" }, "message": "Error in parameters", "output_type": "error" } ) def test_main_run(self): print( 'Calling the main endpoint should execute a chain' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 retval = { "output_type": "geo_raster", "output_value": { "extent": "[[39.095962936305476, -77.34374999999999], " "[38.54816542304656, -76.640625]]" } } data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } response = self.client.post('/main/', data=data) self.assert200(response) resp_json = json.loads(response.data) self.assertEqual(resp_json['output_type'], retval['output_type']) self.assertEqual( resp_json['output_value']['extent'], retval['output_value']['extent']) self.assertTrue('raster' in resp_json['output_value']) def test_main_run_no_chain_output(self): print( 'Calling the main endpoint without adding chain_output_value ' ' to the chain ledger should output a default message' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 del test_run_chain['algorithms'][2] retval = { "output_type": "string", "output_value": 'Chain run complete.' } data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } response = self.client.post('/main/', data=data) self.assert200(response) self.assertEqual(json.loads(response.data), retval) def test_main_run_missing_parameters(self): print( 'Calling the main endpoint without parameters should execute ' 'a chain or throw an error, depending' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 retval = { "output_type": "geo_raster", "output_value": { "extent": "[[39.095962936305476, -77.34374999999999], " "[38.54816542304656, -76.640625]]" } } # removing a chain_ledger parameter should proceed normally del test_run_chain['algorithms'][1]['parameters'] data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } response = self.client.post('/main/', data=data) self.assert200(response) resp_json = json.loads(response.data) self.assertEqual(resp_json['output_type'], retval['output_type']) self.assertEqual( resp_json['output_value']['extent'], retval['output_value']['extent']) self.assertTrue('raster' in resp_json['output_value']) # removing a user parameter should fail del test_run_chain['algorithms'][0]['parameters'] data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } errors = { "output_type": "error", "error_list": [ { "error": "Parameter missing", "parameter": "roi" }, { "error": "roi", "parameter": "roi" }, { "error": "Parameter missing", "parameter": "zoom" }, { "error": "zoom", "parameter": "zoom" } ], "message": "Error in parameters" } response = self.client.post('/main/', data=data) self.assert400(response) self.assertEqual(json.loads(response.data), errors) def test_main_run_get(self): print( 'Applications should be able to call the main endpoint using GET' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 response = self.client.get( '/main/?api_key=testkey&chain=' + json.dumps(test_run_chain)) self.assert200(response) # add a required parameter and ensure chain still runs r_param = { "default_value": "", "field_type": "text", "display_name": "Useless Yet Required Parameter", "name": "useless_required", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything, and yet you must", "custom_validation": None, "description": "A completely useless yet required parameter.", "source": "user" } json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') chains_file = os.path.join(test_alg_path, 'chains.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: stitch_tiles['required_parameters'].append(r_param) alg_file.write(json.dumps(stitch_tiles)) # add param to chains.json chain_def = get_chains() chain_def['map_tiles'][1]['parameters']['useless_required'] = { 'source': 'user' } with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) # remove 'source' key from parameter in chain test_run_chain['algorithms'][1]['parameters']['useless_required'] = '1' response = self.client.get( '/main/?api_key=testkey&chain=' + json.dumps(test_run_chain)) self.assert200(response) chain_def['map_tiles'][1]['parameters']['useless_required'] = {} with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) response = self.client.get( '/main/?api_key=testkey&chain=' + json.dumps(test_run_chain)) self.assert200(response) # remove 'occurrence' key in chain parameter del chain_def['map_tiles'][1][ 'parameters']['image_filenames']['occurrence'] with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) response = self.client.get( '/main/?api_key=testkey&chain=' + json.dumps(test_run_chain)) self.assert200(response) # remove 'source_algorithm' key in chain parameter # should fail this time del chain_def['map_tiles'][1][ 'parameters']['image_filenames']['source_algorithm'] with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) response = self.client.get( '/main/?api_key=testkey&chain=' + json.dumps(test_run_chain)) self.assert400(response) self.assertEqual( json.loads(response.data), { "output_type": "error", "error_list": [ { "error": "Parameter missing", "parameter": "image_filenames" }, { "error": "image_filenames", "parameter": "image_filenames" } ], "message": "Error in parameters" } ) def test_main_run_not_integer(self): print( 'ATK should return appropriate errors if ' 'a string is submitted for an integer field' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 'zoom' data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } zoom_errors = { "output_type": "error", "message": "Error in parameters", "error_list": [ { "error": "Not a valid integer", "parameter": "zoom" } ], } response = self.client.post('/main/', data=data) self.assert400(response) self.assertEqual(json.loads(response.data), zoom_errors) def test_main_run_integer_too_large(self): print( 'ATK should return appropriate errors if ' 'an integer value is larger than the max value' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 20 data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } zoom_errors = { "output_type": "error", "error_list": [ { "error": "Value too large", "parameter": "zoom" } ], "message": "Error in parameters" } response = self.client.post('/main/', data=data) self.assert400(response) self.assertEqual(json.loads(response.data), zoom_errors) def test_main_run_integer_too_small(self): print( 'ATK should return appropriate errors if ' 'an integer value is smaller than the min value' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 2 data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain) } zoom_errors = { "output_type": "error", "error_list": [ { "error": "Value too small", "parameter": "zoom" } ], "message": "Error in parameters" } response = self.client.post('/main/', data=data) self.assert400(response) self.assertEqual(json.loads(response.data), zoom_errors) def test_main_run_status_key(self): print( 'Applications should be able to supply a ' 'status key to the main endpoint' ) # TODO: see if we can make this more reliable # because of USGS web TMS test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 retval = { 'all_msg': 'Starting chain run... \nRunning algorithm: ' 'getmaptiles_roi \nstarting to fetch 3 tiles \n' 'fetched tile: /tmp/throatwarblermangrove/temp/' '292_392_10.png \nfetched tile: /tmp/throatwarblermangrove/' 'temp/292_391_10.png \nfetched tile: /tmp/' 'throatwarblermangrove/temp/293_391_10.png \n' 'Running algorithm: stitch_tiles \n' 'Stitching tile: /tmp/throatwarblermangrove/temp/' '292_392_10.png \nStitching tile: /tmp/throatwarblermangrove/' 'temp/292_391_10.png \nStitching tile: /tmp/' 'throatwarblermangrove/temp/293_391_10.png \n' 'writing out stitched image to disk \n' 'Running algorithm: output_image_to_client \n' 'Chain run complete', 'batch_percent_complete': 0, 'chain_percent_complete': 100, 'latest_msg': 'Chain run complete', 'algorithm_percent_complete': 100 } data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain), 'status_key': 'throatwarblermangrove' } response = self.client.post('/main/', data=data) if response.status_code != 200: print(response.data) self.assert200(response) response = self.client.post( '/chain_run_status/throatwarblermangrove/?api_key=testkey') resp_json = json.loads(response.data) self.assert200(response) self.assertEqual(resp_json, retval) def test_get_status_errors(self): print( 'Calling the chain_run_status endpoint ' 'improperly should return errors' ) test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['zoom'] = 10 data = { 'api_key': 'testkey', 'chain': json.dumps(test_run_chain), 'status_key': 'johangambolputty' } response = self.client.post('/main/', data=data) # GET instead of POST response = self.client.get('/chain_run_status/johangambolputty/') self.assert405(response) self.assertTrue('405 Method Not Allowed' in response.data) # no api key response = self.client.post('/chain_run_status/johangambolputty/') self.assert401(response) self.assertEqual(response.data, 'API key wrong or missing') # wrong status key response = self.client.post( '/chain_run_status/ofulm/', data={'api_key': 'testkey'}) self.assert404(response) self.assertEqual(response.data, 'Invalid status key') def test_test_run(self): print('test_run endpoint should display correctly') chain_def = get_chains() # no chain name response = self.client.get('/test_run/') self.assert404(response) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) self.assertTemplateUsed('test_run.html') self.assertContext('nav', 'test_run') self.assertContext('docs', False) self.assertContext('chains', chain_def) self.assertContext('chain', {}) this_field = form._fields['getmaptiles_roi__roi_0'] self.assertTrue('getmaptiles_roi__roi_0' in form._fields) self.assertEqual(type(this_field), wtfields.StringField) self.assertEqual(type(this_field.widget), wtwidgets.core.TextInput) self.assertEqual(this_field.description, '') self.assertEqual(this_field.short_name, 'getmaptiles_roi__roi_0') self.assertEqual(this_field.id, 'getmaptiles_roi__roi_0') self.assertEqual(this_field.name, 'getmaptiles_roi__roi_0') self.assertEqual( this_field.default, 'POLYGON((-77.0419692993164 38.9933585922412,-77.17311859130861 ' '38.891887936025896,-77.03853607177736 38.790272111428706,' '-76.91013336181642 38.891887936025896,-77.0419692993164 ' '38.9933585922412))' ) self.assertEqual(this_field.default, this_field.data) self.assertEqual(this_field.default, this_field.object_data) self.assertEqual(this_field.type, 'StringField') self.assertEqual(type(this_field.validators[0]), InputRequired) self.assertEqual(this_field.render_kw, {'required': True}) self.assertEqual( this_field.label.__str__(), '<label for="getmaptiles_roi__roi_0">Polygon WKT</label>' ) this_field = form._fields['getmaptiles_roi__zoom_0'] self.assertTrue('getmaptiles_roi__zoom_0' in form._fields) self.assertEqual(type(this_field), wtfields.IntegerField) self.assertEqual(type(this_field.widget), wtwidgets.html5.NumberInput) self.assertEqual(this_field.description, '') self.assertEqual(this_field.short_name, 'getmaptiles_roi__zoom_0') self.assertEqual(this_field.id, 'getmaptiles_roi__zoom_0') self.assertEqual(this_field.name, 'getmaptiles_roi__zoom_0') self.assertEqual(this_field.default, 14) self.assertEqual(this_field.default, this_field.data) self.assertEqual(this_field.default, this_field.object_data) self.assertEqual(this_field.type, 'IntegerField') self.assertEqual(type(this_field.validators[0]), InputRequired) self.assertEqual(this_field.render_kw, {'required': True}) self.assertEqual( this_field.label.__str__(), '<label for="getmaptiles_roi__zoom_0">Zoom level</label>' ) this_field = form._fields['api_key'] self.assertTrue('api_key' in form._fields) self.assertEqual(type(this_field), wtfields.StringField) self.assertEqual(type(this_field.widget), wtwidgets.TextInput) self.assertEqual(this_field.description, '') self.assertEqual(this_field.short_name, 'api_key') self.assertEqual(this_field.id, 'api_key') self.assertEqual(this_field.name, 'api_key') self.assertEqual(this_field.default, None) self.assertEqual(this_field.default, this_field.data) self.assertEqual(this_field.default, this_field.object_data) self.assertEqual(this_field.type, 'StringField') self.assertEqual(type(this_field.validators[0]), InputRequired) self.assertEqual(this_field.render_kw, None) self.assertEqual( this_field.label.__str__(), '<label for="api_key">API Key</label>' ) self.assertFalse(self.get_context_variable('fetching_results')) def test_test_run_optional_parameter(self): print('test_run endpoint should display optional parameters') # add an optional parameter o_param = { "default_value": "", "field_type": "text", "display_name": "Useless Parameter", "name": "useless", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything", "custom_validation": None, "description": "A completely useless parameter.", } json_file = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'algorithm.json') with open(json_file, 'r') as alg_file: roi = json.load(alg_file) with open(json_file, 'w') as alg_file: roi['optional_parameters'].append(o_param) alg_file.write(json.dumps(roi)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) this_field = form._fields['getmaptiles_roi__useless_0'] self.assertEqual(type(this_field), wtfields.StringField) self.assertEqual(type(this_field.widget), wtwidgets.core.TextInput) self.assertEqual(this_field.description, '') self.assertEqual(this_field.short_name, 'getmaptiles_roi__useless_0') self.assertEqual(this_field.id, 'getmaptiles_roi__useless_0') self.assertEqual(this_field.name, 'getmaptiles_roi__useless_0') self.assertEqual(this_field.default, '') self.assertEqual(this_field.default, this_field.data) self.assertEqual(this_field.default, this_field.object_data) self.assertEqual(this_field.type, 'StringField') self.assertEqual(type(this_field.validators[0]), Optional) self.assertEqual(this_field.render_kw, {}) self.assertEqual( this_field.label.__str__(), '<label for="getmaptiles_roi__useless_0">Useless Parameter</label>' ) # add optional parameter to stitch_tiles json_file = os.path.join( test_alg_path, 'algorithms', 'stitch_tiles', 'algorithm.json') chains_file = os.path.join(test_alg_path, 'chains.json') with open(json_file, 'r') as alg_file: stitch_tiles = json.load(alg_file) with open(json_file, 'w') as alg_file: stitch_tiles['optional_parameters'].append(o_param) alg_file.write(json.dumps(stitch_tiles)) # if you don't specify a source, assume it's user input response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) self.assertTrue('stitch_tiles__useless_1' in form._fields) # add param to chains.json chain_def = get_chains() chain_def['map_tiles'][1]['parameters']['useless'] = { "source": "chain_ledger", "source_algorithm": "getmaptiles_roi", "key": "image_chips_dir", "occurrence": "first" } with open(chains_file, 'w') as c_file: c_file.write(json.dumps(chain_def)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) self.assertFalse('stitch_tiles__useless_1' in form._fields) # execute chain with additional parameter data = { 'api_key': 'testkey', 'getmaptiles_roi__roi_0': 'POLYGON((-77.0419692993164 38.9933585922412,' '-77.17311859130861 38.891887936025896,' '-77.03853607177736 38.790272111428706,' '-76.91013336181642 38.891887936025896,' '-77.0419692993164 38.9933585922412))', 'getmaptiles_roi__zoom_0': 14, 'getmaptiles_roi__cache_path_0': '/tmp/tiles/map_tiles', 'getmaptiles_roi__useless_0': 'crunchyfrog' } test_run_chain = get_test_run_chain() test_run_chain['algorithms'][0]['parameters']['useless'] = ( 'crunchyfrog') response = self.client.post('/test_run/map_tiles/', data=data) page = response.data self.assert200(response) self.assertTrue(self.get_context_variable('fetching_results')) self.assertTrue(json.dumps(test_run_chain), page) self.assertContext('chain', test_run_chain) # remove default value from parameter, make it an int # field and set min and max values del o_param['default_value'] o_param['field_type'] = 'number' o_param['data_type'] = 'integer' o_param['min_value'] = 1 o_param['max_value'] = 100 o_param['name'] = 'useless2' o_param['display_name'] = 'Useless Parameter #2' json_file = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'algorithm.json') with open(json_file, 'w') as alg_file: roi['optional_parameters'][0] = o_param alg_file.write(json.dumps(roi)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) this_field = form._fields['getmaptiles_roi__useless2_0'] self.assertEqual(this_field.default, None) self.assertEqual(this_field.widget.min, 1) self.assertEqual(this_field.widget.max, 100) # make it a float roi['optional_parameters'][0]['data_type'] = 'float' with open(json_file, 'w') as alg_file: alg_file.write(json.dumps(roi)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) this_field = form._fields['getmaptiles_roi__useless2_0'] self.assertEqual(this_field.default, None) self.assertEqual(this_field.widget.step, 'any') # remove min value from parameter del roi['optional_parameters'][0]['min_value'] with open(json_file, 'w') as alg_file: alg_file.write(json.dumps(roi)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) this_field = form._fields['getmaptiles_roi__useless2_0'] self.assertEqual(this_field.widget.min, None) # remove max value from parameter del roi['optional_parameters'][0]['max_value'] with open(json_file, 'w') as alg_file: alg_file.write(json.dumps(roi)) response = self.client.get('/test_run/map_tiles/') form = self.get_context_variable('form') self.assert200(response) this_field = form._fields['getmaptiles_roi__useless2_0'] self.assertEqual(this_field.widget.max, None) def test_test_run_submit(self): print('test_run should execute a chain') data = { 'api_key': 'testkey', 'getmaptiles_roi__roi_0': 'POLYGON((-77.0419692993164 38.9933585922412,' '-77.17311859130861 38.891887936025896,' '-77.03853607177736 38.790272111428706,' '-76.91013336181642 38.891887936025896,' '-77.0419692993164 38.9933585922412))', 'getmaptiles_roi__zoom_0': 14 } test_run_chain = get_test_run_chain() response = self.client.post('/test_run/map_tiles/', data=data) page = response.data self.assert200(response) self.assertTrue(self.get_context_variable('fetching_results')) self.assertTrue(json.dumps(test_run_chain), page) self.assertContext('chain', json.loads(json.dumps(test_run_chain))) class ATKTestCaseWithDocs(TestCase): def create_app(self): from algorithm_toolkit import app return app def setUp(self): sys.path.append(test_alg_path) subprocess.call(['alg', 'cp', 'test_project', '-q', '-wd']) def tearDown(self): # pass shutil.rmtree(test_alg_path) def test_atk_home(self): print('Home page should display with docs link') response = self.client.get('/') self.assert200(response) self.assertContext('docs', True) def test_show_docs(self): print('User should be able to see ATK documentation') response = self.client.get('/docs/index.html') self.assert200(response) class ATKTestCaseTestAlgorithm(TestCase): test_alg = {} r_param = {} p_submit = {} def create_app(self): from algorithm_toolkit import app return app def setUp(self): self.test_alg = get_algorithms()[0] self.r_param = { "default_value": '', "field_type": "test", "display_name": "Test parameter", "name": "test", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 99, "parameter_choices": [], "help_text": "Some help text", "custom_validation": None, "description": "A test parameter" } self.p_submit = { "zoom": 14, "roi": "POLYGON((-77.0419692993164 38.99335" "85922412,-77.17311859130861 38.891887936025896," "-77.03853607177736 38.790272111428706,-76.91013336" "181642 38.891887936025896,-77.0419692993164 " "38.9933585922412))", "test": "dinsdale", } def tearDown(self): pass def checkit(self, p, d): from algorithm_toolkit import Algorithm algorithm = Algorithm(test_alg_path, p) valid = algorithm.check_params(d) response = { 'errors': algorithm.errors, 'valid': valid } return response def test_bad_float(self): print('Algorithm should catch malformed floats') self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'float' self.test_alg['required_parameters'].append(self.r_param) response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Not a valid float'}] ) self.p_submit['test'] = 19.3 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_bad_array(self): print('Algorithm should catch malformed arrays') self.r_param['field_type'] = 'text' self.r_param['data_type'] = 'array' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 19.3 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Not a valid array'}] ) self.p_submit['test'] = [0, 1, 2, 3] response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) self.p_submit['test'] = '0, 1, 2, 3' response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) self.p_submit['test'] = '[0, 1, 2, 3]' response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_no_min_max(self): print('Algorithm should allow missing min or max values') self.r_param['data_type'] = 'integer' self.r_param['field_type'] = 'number' del self.r_param['min_value'] del self.r_param['max_value'] self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 42 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_gt(self): print( 'Algorithm should catch custom "greaterthan" validation errors' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'integer' self.r_param['custom_validation'] = 'greaterthan.zoom' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 13 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be greater than 14'}] ) self.p_submit['test'] = 14 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be greater than 14'}] ) self.p_submit['test'] = 19 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_gt_float(self): print( 'Algorithm should catch custom "greaterthan" ' 'validation errors with floats' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'float' self.r_param['custom_validation'] = 'greaterthan.zoom' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 13.1 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be greater than 14.0'}] ) self.p_submit['test'] = 14.0 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be greater than 14.0'}] ) self.p_submit['test'] = 19.7 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_lt(self): print( 'Algorithm should catch custom "lessthan" validation errors' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'integer' self.r_param['custom_validation'] = 'lessthan.zoom' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 19 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be less than 14'}] ) self.p_submit['test'] = 14 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be less than 14'}] ) self.p_submit['test'] = 13 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_even(self): print( 'Algorithm should catch custom "evenonly" validation errors' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'integer' self.r_param['custom_validation'] = 'evenonly' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 19 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be an even number'}] ) self.p_submit['test'] = 14 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_odd(self): print( 'Algorithm should catch custom "oddonly" validation errors' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'integer' self.r_param['custom_validation'] = 'oddonly' self.test_alg['required_parameters'].append(self.r_param) self.p_submit['test'] = 18 response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [{'parameter': 'test', 'error': 'Value must be an odd number'}] ) self.p_submit['test'] = 13 response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_re(self): print( 'Algorithm should catch custom regular ' 'expression validation errors' ) self.r_param['custom_validation'] = '^[0-9][0-9]' self.test_alg['required_parameters'].append(self.r_param) response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [ { 'parameter': 'test', 'error': 'Value does not match expression: "^[0-9][0-9]"' } ] ) self.p_submit['test'] = '1' response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [ { 'parameter': 'test', 'error': 'Value does not match expression: "^[0-9][0-9]"' } ] ) self.p_submit['test'] = '13' response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_custom_no_custom(self): print( 'Algorithm should proceed if "custom_validation" is missing' ) self.r_param['field_type'] = 'number' self.r_param['data_type'] = 'integer' del self.r_param['custom_validation'] self.p_submit['test'] = 13 self.test_alg['required_parameters'].append(self.r_param) response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_no_choices(self): print( 'Algorithm should proceed if "parameter_choices" is missing' ) del self.r_param['parameter_choices'] self.test_alg['required_parameters'].append(self.r_param) response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) def test_value_in_list(self): print( 'Algorithm should catch "value in list" validation errors' ) self.r_param['parameter_choices'] = ['thing1', 'thing2'] self.test_alg['required_parameters'].append(self.r_param) response = self.checkit(self.p_submit, self.test_alg) self.assertFalse(response['valid']) self.assertEqual( response['errors'], [ { 'parameter': 'test', 'error': "Value not in list of valid choices: " "['thing1', 'thing2']" } ] ) self.p_submit['test'] = 'thing1' response = self.checkit(self.p_submit, self.test_alg) self.assertTrue(response['valid']) self.assertEqual(response['errors'], []) class ATKTestCaseTestAlgorithmChain(TestCase): chain_name = 'map_tiles' test_chain = {} ac = None cl = None alg_data = {} def create_app(self): from algorithm_toolkit import app return app def setUp(self): from algorithm_toolkit import AlgorithmChain self.test_chain = get_chains()['map_tiles'] self.ac = AlgorithmChain(test_alg_path, get_test_run_chain()) self.cl = self.ac.ChainLedger('tim') self.alg_data = { "zoom": 14, "roi": "POLYGON((-77.0419692993164 38.99335" "85922412,-77.17311859130861 38.891887936025896," "-77.03853607177736 38.790272111428706,-76.91013336" "181642 38.891887936025896,-77.0419692993164 " "38.9933585922412))" } def tearDown(self): try: shutil.rmtree(test_alg_path) except OSError: pass def test_add_to_metadata(self): print( 'A developer should be able to add a ' 'key-value pair to the chain ledger' ) self.cl.add_to_metadata('hedgehog', 'Spiny Norman') self.assertTrue('hedgehog' in self.cl.metadata) def test_get_from_metadata(self): print( 'A developer should be able to retrieve a ' 'key-value pair from the chain ledger' ) self.cl.add_to_metadata('hedgehog', 'Spiny Norman') m_key = self.cl.get_from_metadata('hedgehog') self.assertEqual(m_key, 'Spiny Norman') def test_archive_metadata(self): print('Test archiving ledger metadata') self.cl.archive_metadata('getmaptiles_roi', self.alg_data) history = self.cl.history self.assertEqual(history[0]['algorithm_name'], 'getmaptiles_roi') self.assertEqual(history[0]['algorithm_params'], self.alg_data) def test_clear_current_metadata(self): print('Test clearing ledger metadata') self.cl.metadata = self.alg_data self.assertEqual(self.cl.metadata, self.alg_data) self.cl.archive_metadata('getmaptiles_roi', self.alg_data) self.cl.clear_current_metadata() self.assertEqual(self.cl.metadata, {}) def test_get_history_size(self): print('Test retrieving size of chain ledger metadata history') self.cl.archive_metadata('getmaptiles_roi', self.alg_data) self.cl.clear_current_metadata() self.cl.add_to_metadata('hedgehog', 'Spiny Norman') history = self.cl.history self.assertEqual(len(history), 1) self.assertEqual(self.cl.get_history_size(), 1) self.cl.archive_metadata( 'piranha_brothers', {'hedgehog': 'Spiny Norman'}) self.assertEqual(self.cl.get_history_size(), 2) def test_get_from_history(self): print('Test retrieving from chain ledger metadata history') self.cl.archive_metadata('getmaptiles_roi', self.alg_data) alg_name = self.cl.get_from_history(0, 'algorithm_name') alg_params = self.cl.get_from_history(0, 'algorithm_params') self.assertEqual(alg_name, 'getmaptiles_roi') self.assertEqual(alg_params, self.alg_data) def test_search_history(self): print('Test searching chain ledger metadata history') self.cl.metadata = self.alg_data self.cl.archive_metadata('getmaptiles_roi', self.alg_data) h_list = self.cl.search_history('zoom', 'getmaptiles_roi') self.assertEqual(h_list, [14]) h_list = self.cl.search_history('thingie', 'getmaptiles_roi') self.assertEqual(h_list, [None]) def test_chain_ledger_status(self): print('Test setting chain ledger status') msg1 = 'I... am an enchanter.' msg2 = "There are some who call me... 'Tim'?" self.cl.set_status(msg1) self.cl.set_status(msg2) latest_msg = self.app.config['tim']['latest_msg'].__str__() all_msg = self.app.config['tim']['all_msg'].__str__() self.assertEqual(latest_msg, msg2.replace("'", "'")) self.assertEqual( all_msg, msg1 + ' \n' + msg2.replace("'", "'") ) def test_params_to_json(self): print('Test creating a JSON object from chain ledger history') self.cl.archive_metadata('getmaptiles_roi', self.alg_data) self.cl.clear_current_metadata() self.cl.archive_metadata( 'piranha_brothers', {'hedgehog': 'Spiny Norman'}) self.cl.clear_current_metadata() json_obj = self.cl.params_to_json() test_obj_list = [ { 'algorithm_name': 'getmaptiles_roi', 'algorithm_params': self.alg_data }, { 'algorithm_name': 'piranha_brothers', 'algorithm_params': {'hedgehog': 'Spiny Norman'} } ] test_obj = { 'atk_chain_metadata': test_obj_list } self.assertEqual(json_obj, test_obj) def test_params_to_json_not_json(self): print('AlgorithmChain should catch non JSON-serializable objects') class TestClass(): pass self.cl.archive_metadata('getmaptiles_roi', self.alg_data) self.cl.clear_current_metadata() self.cl.archive_metadata( 'piranha_brothers', {'hedgehog': TestClass()}) self.cl.clear_current_metadata() json_obj = self.cl.params_to_json() test_obj_list = [ { 'algorithm_name': 'getmaptiles_roi', 'algorithm_params': self.alg_data }, { 'algorithm_name': 'piranha_brothers', 'algorithm_params': {'hedgehog': 'Value not JSON serializable'} } ] test_obj = { 'atk_chain_metadata': test_obj_list } self.assertEqual(json_obj, test_obj) def test_params_to_json_save_to_file(self): print( 'Test creating a JSON object from chain ' 'ledger history and saving to file' ) tmp_path = '/tmp/testtest.json' self.cl.archive_metadata('getmaptiles_roi', self.alg_data) self.cl.clear_current_metadata() self.cl.archive_metadata( 'piranha_brothers', {'hedgehog': 'Spiny Norman'}) self.cl.clear_current_metadata() self.cl.save_params_to_json(tmp_path) test_obj_list = [ { 'algorithm_name': 'getmaptiles_roi', 'algorithm_params': self.alg_data }, { 'algorithm_name': 'piranha_brothers', 'algorithm_params': {'hedgehog': 'Spiny Norman'} } ] test_obj = { 'atk_chain_metadata': test_obj_list } with open(tmp_path, 'r') as json_file: json_obj = json_file.read() self.assertEqual(json_obj, json.dumps(test_obj)) self.cl.save_params_to_json(tmp_path, pretty=True) with open(tmp_path, 'r') as json_file: json_obj = json_file.read() self.assertEqual( json_obj, json.dumps(test_obj, separators=(',', ': '), indent=4) ) def test_get_request_dict(self): print( 'Test returning a dictionary containing ' 'chain parameters with defaults' ) sys.path.append(test_alg_path) subprocess.call(['alg', 'cp', 'test_project', '-e', '-q']) from algorithm_toolkit import AlgorithmChain self.ac = AlgorithmChain(test_alg_path, get_test_run_chain()) self.cl = self.ac.ChainLedger('tim') check_dict = { 'chain_name': 'map_tiles', 'algorithms': [ { 'parameters': self.alg_data, 'algorithm': 'getmaptiles_roi' }, { 'parameters': { 'image_filenames': None }, 'algorithm': 'stitch_tiles' }, { 'parameters': { 'image_bounds': None, 'image_path': None }, 'algorithm': 'output_image_to_client' } ] } test_dict = self.ac.get_request_dict() self.assertEqual(check_dict, test_dict) # add an optional parameter o_param = { "default_value": "", "field_type": "text", "display_name": "Useless Parameter", "name": "useless", "data_type": "string", "max_value": None, "min_value": None, "sort_order": 2, "parameter_choices": [], "help_text": "Don't bother entering anything", "custom_validation": None, "description": "A completely useless parameter.", } json_file = os.path.join( test_alg_path, 'algorithms', 'getmaptiles_roi', 'algorithm.json') with open(json_file, 'r') as alg_file: roi = json.load(alg_file) with open(json_file, 'w') as alg_file: roi['optional_parameters'].append(o_param) alg_file.write(json.dumps(roi)) check_dict['algorithms'][0]['parameters']['useless'] = '' test_dict = self.ac.get_request_dict() self.assertEqual(check_dict, test_dict) # remove default value del o_param['default_value'] with open(json_file, 'w') as alg_file: roi['optional_parameters'].append(o_param) alg_file.write(json.dumps(roi)) check_dict['algorithms'][0]['parameters']['useless'] = None test_dict = self.ac.get_request_dict() self.assertEqual(check_dict, test_dict) # remove default value from required param del roi['required_parameters'][0]['default_value'] with open(json_file, 'w') as alg_file: alg_file.write(json.dumps(roi)) check_dict['algorithms'][0]['parameters']['roi'] = None test_dict = self.ac.get_request_dict() self.assertEqual(check_dict, test_dict) class ATKTestCaseFileUtils(TestCase): def create_app(self): from algorithm_toolkit import app return app def setUp(self): pass def tearDown(self): pass def test_make_dir_if_not_exists(self): from algorithm_toolkit import utils print('Ensure we can create multiple folders if needed') test_dir = 'test_project/algorithms' utils.file_utils.make_dir_if_not_exists(test_dir) self.assertTrue(os.path.exists(test_dir)) # don't recreate if path exists utils.file_utils.make_dir_if_not_exists(test_dir) self.assertTrue(os.path.exists(test_dir)) shutil.rmtree(test_alg_path) self.assertFalse(os.path.exists(test_dir)) def test_get_algorithms_valueerror(self): from algorithm_toolkit import utils print( 'Ensure ValueError conditions are handled when ' 'getting an algorithm definition' ) with open('testalgorithm.json', 'w') as json_file: json_file.write('{[1, 2 , 3]: "splunge"}') response = utils.file_utils.get_algorithm('testalgorithm.json') self.assertEqual(response, {}) os.remove('testalgorithm.json') def test_get_chain_def_valueerror(self): from algorithm_toolkit import utils print( 'Ensure ValueError conditions are handled when ' 'getting a chain definition' ) os.makedirs(test_alg_path) chain_path = os.path.join(test_alg_path, 'chains.json') with open(chain_path, 'w') as json_file: json_file.write('{[1, 2 , 3]: "splunge"}') response = utils.file_utils.get_chain_def(test_alg_path) self.assertEqual(response, {}) shutil.rmtree(test_alg_path) def test_get_chain_def_ioerror(self): from algorithm_toolkit import utils print( 'Ensure IOError conditions are handled when ' 'getting a chain definition' ) response = utils.file_utils.get_chain_def(test_alg_path) self.assertEqual(response, {}) class ATKTestCaseDataUtils(TestCase): def create_app(self): from algorithm_toolkit import app return app def setUp(self): pass def tearDown(self): pass def test_text2int_not_in_mapping(self): from algorithm_toolkit import utils print('Return -1 if text is not found in word_to_number_mapping') response = utils.data_utils.text2int('deadparrot') self.assertEqual(response, -1) def test_create_random_string_all_chars(self): from algorithm_toolkit import utils print( 'If desired, random string can include symbols ' '(i.e.: not just http-safe characters)' ) symbols = '`~!@#$%*()-_=+[]{}|;:,./?' for x in range(100): response = utils.data_utils.create_random_string(http_safe=False) # TODO: rewrite this test # self.assertTrue(any(s for s in symbols if s in response)) for x in range(100): response = utils.data_utils.create_random_string(http_safe=True) self.assertFalse(any(s for s in symbols if s in response)) class ATKTestCaseDecorators(TestCase): def create_app(self): from algorithm_toolkit import app return app def setUp(self): self.app.config['TESTING'] = False def tearDown(self): self.app.config['TESTING'] = True self.app.config['DEBUG'] = True def test_not_debug(self): print( 'debug-only views should be blocked if ' 'not in debug or testing mode' ) self.app.config['DEBUG'] = False response = self.client.get('/') self.assert400(response) self.assertEqual(response.data, 'This view is not accessible') if __name__ == '__main__': unittest.main()

38.368936

79

0.598257

10,194

90,167

5.071218

0.060624

0.059773

0.034123

0.025186

0.816698

0.768899

0.736072

0.706186

0.674056

0.649509

0

0.023666

0.283463

90,167

2,349

80

38.38527

0.776483

0.026451

0

0.610254

0

0.246229

0.043741

0

0.000426

0.197113

1

0.047287

false

0.003484

0.015928

0

0.076157

0.035839

0

null

0

1

0

1

0

null

0

5

f38c106cc17e94aaa22774b0a12f3e2216fd12f8

223

py

Python

elif_bayindir/phase_1/python_basic_1/day_8/q10.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

elif_bayindir/phase_1/python_basic_1/day_8/q10.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

elif_bayindir/phase_1/python_basic_1/day_8/q10.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

# Question 10 # Sort files by date import os import time from pprint import pprint pprint([(x[0], time.ctime(x[1].st_ctime)) for x in sorted([(fn, os.stat(fn)) for fn in os.listdir(".")], key = lambda x: x[1].st_ctime)])

24.777778

137

0.672646

43

223

3.44186

0.55814

0.027027

0.054054

0.121622

0

0.026455

0.152466

223

8

138

27.875

0.756614

0.134529

0

0.005263

0

1

0

true

0

0.75

0

0.75

0.5

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f39dd6127b925fced9de3ed35ce8f00f12f55551

1,631

py

Python

kw_sorter/interfaces.py

alex-kalanis/sorter

d6349c3eac16ebaa039d9b558ba85fdf33074074

[ "BSD-3-Clause" ]

null

kw_sorter/interfaces.py

alex-kalanis/sorter

d6349c3eac16ebaa039d9b558ba85fdf33074074

[ "BSD-3-Clause" ]

null

kw_sorter/interfaces.py

alex-kalanis/sorter

d6349c3eac16ebaa039d9b558ba85fdf33074074

[ "BSD-3-Clause" ]

null

class ISortEntry: """ * Basic necessity to sort anything """ DIRECTION_ASC = 'ASC' DIRECTION_DESC = 'DESC' def set_key(self, key: str): """ * Set by which key the entry will be sorted """ raise NotImplementedError('TBA') def get_key(self) -> str: """ * Sort by which key """ raise NotImplementedError('TBA') def set_direction(self, direction: str): """ * Set direction of sort * Preferably use constants above """ raise NotImplementedError('TBA') def get_direction(self) -> str: """ * Sorting direction * Preferably use constants above """ raise NotImplementedError('TBA') class ISorter: """ * Basic interface * Make your app dependent on this interface """ def get_entries(self): """ * Get entries in sorting """ raise NotImplementedError('TBA') def add(self, entry: ISortEntry): """ * Add single entry from input which will be used for sorting """ raise NotImplementedError('TBA') def remove(self, entry_key: str): """ * Remove all entries containing that key """ raise NotImplementedError('TBA') def clear(self): """ * Clear sorting entries, be ready for another set """ raise NotImplementedError('TBA') def get_default_item(self) -> ISortEntry: """ * Return new entry usable for sorting """ raise NotImplementedError('TBA')

22.652778

69

0.545677

159

1,631

5.534591

0.377358

0.245455

0.276136

0.238636

0.409091

0.122727

0

0.352544

1,631

71

70

22.971831

0.833333

0.297364

0

0.409091

0

0.038946

0

1

0.409091

false

0

0.590909

0

null

1

0

null

0

1

0

1

0

5

45fd1d73b6a04f0f3a7ca674ade4ce18ec945084

3,652

py

Python

zotapaysdk/tests/local/test_client_configuration.py

zotapay/python-sdk

8d8a426679263222a3f805bbb56ebb3087b17c2c

[ "Apache-2.0" ]

null

zotapaysdk/tests/local/test_client_configuration.py

zotapay/python-sdk

8d8a426679263222a3f805bbb56ebb3087b17c2c

[ "Apache-2.0" ]

null

zotapaysdk/tests/local/test_client_configuration.py

zotapay/python-sdk

8d8a426679263222a3f805bbb56ebb3087b17c2c

[ "Apache-2.0" ]

null

import pytest from zotapaysdk.client import MGClient from zotapaysdk.config import CredentialsKeys, MGCredentialsManager from zotapaysdk.exceptions import MGMissingCredentialsException def test_client_environment_configuration_fail_request_url(monkeypatch): """ Checks if env var test fails for missing request url Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.ENDPOINT_ID, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_SECRET_KEY, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_ID, "test") with pytest.raises(MGMissingCredentialsException): MGClient() def test_client_environment_configuration_fail_endpoint_id(monkeypatch): """ Checks if env var test fails for missing endpoint_id Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.REQUEST_URL, "www.test.com") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_SECRET_KEY, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_ID, "test") with pytest.raises(MGMissingCredentialsException): MGClient() def test_client_environment_configuration_fail_merchant_secret_key(monkeypatch): """ Checks if env var test fails for missing merchant secret key Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.REQUEST_URL, "www.test.com") monkeypatch.setenv(CredentialsKeys.Env.ENDPOINT_ID, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_ID, "test") with pytest.raises(MGMissingCredentialsException): MGClient() def test_client_environment_configuration_fail_merchant_id(monkeypatch): """ Checks if env var test fails for missing merchant id Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.REQUEST_URL, "www.test.com") monkeypatch.setenv(CredentialsKeys.Env.ENDPOINT_ID, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_SECRET_KEY, "test") with pytest.raises(MGMissingCredentialsException): MGClient() def test_client_environment_configuration_ok(monkeypatch): """ Asserts MGClient instance is created ok with proper credentials Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.REQUEST_URL, "www.test.com") monkeypatch.setenv(CredentialsKeys.Env.ENDPOINT_ID, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_SECRET_KEY, "test") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_ID, "test") MGClient() def test_client_environment_configuration_with_bad_creds(monkeypatch): """ Extra test for bad credentials. Args: monkeypatch: Returns: """ monkeypatch.setenv(CredentialsKeys.Env.REQUEST_URL, " ") monkeypatch.setenv(CredentialsKeys.Env.ENDPOINT_ID, " ") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_SECRET_KEY, " ") monkeypatch.setenv(CredentialsKeys.Env.MERCHANT_ID, " ") with pytest.raises(MGMissingCredentialsException): MGClient() def test_credentials_manager(): with pytest.raises(MGMissingCredentialsException): MGCredentialsManager(merchant_id="a", merchant_secret_key="a", endpoint_id="a", request_url="a") with pytest.raises(MGMissingCredentialsException): MGCredentialsManager(merchant_id="teststestse", merchant_secret_key="testets", endpoint_id="testests") with pytest.raises(MGMissingCredentialsException): MGCredentialsManager(merchant_id="testsetes", merchant_secret_key="testestes", request_url="testsetes")

31.482759

111

0.737404

371

3,652

7.053908

0.148248

0.12992

0.244555

0.267482

0.816202

0.748949

0.611769

0.594956

0

0.170865

3,652

115

112

31.756522

0.864267

0.140471

0

0.6

0

0.052862

0

1

0.14

false

0

0.08

0

0.22

0

null

0

1

0

null

0

5

34097bf03a9e6f511e570fde14ccc907538f2773

224

py

Python

c3d/demo_load_file.py

johndpope/FacialRetargeting

5fb0c1da6af6c3d59aef264f567bfa7a244d0764

[ "MIT" ]

21

2020-08-19T02:52:16.000Z

2022-02-25T12:35:04.000Z

c3d/demo_load_file.py

johndpope/FacialRetargeting

5fb0c1da6af6c3d59aef264f567bfa7a244d0764

[ "MIT" ]

3

2020-10-16T07:11:25.000Z

2021-06-30T10:26:04.000Z

c3d/demo_load_file.py

johndpope/FacialRetargeting

5fb0c1da6af6c3d59aef264f567bfa7a244d0764

[ "MIT" ]

7

2020-08-24T08:30:53.000Z

2022-03-28T15:55:24.000Z

from pyc3d import pyC3D from maya import cmds if __name__ == '__main__': c3dFile = pyC3D.C3DReader('C:\Users\David\Documents\Viccon_david\FacialExpressionsTracking\Test\NewSession_labeled\m_test.c3d', normalize=True)

28

147

0.794643

29

224

5.758621

0.793103

0

0.029851

0.102679

224

7

148

32

0.800995

0

0.477477

0.441441

0

null

0

0.5

null

0

1

0

null

0

1

0

1

null

0

1

0

1

0

5

340aae16602bc8cf9891372e068ff495ad234aa3

135

py

Python

__init__.py

at86/cefpython3wx

f1a07f7e071360b39d7baccb201c2e6a582c4cf0

[ "BSD-3-Clause" ]

1

2019-10-02T21:22:44.000Z

__init__.py

at86/cefpython3wx

f1a07f7e071360b39d7baccb201c2e6a582c4cf0

[ "BSD-3-Clause" ]

null

__init__.py

at86/cefpython3wx

f1a07f7e071360b39d7baccb201c2e6a582c4cf0

[ "BSD-3-Clause" ]

null

# This dummy file is overwritten by "__init__.py.template", see: # cefpython/cef3/windows/installer/ # cefpython/cef3/linux/installer/

33.75

64

0.777778

18

135

5.611111

0.833333

0.257426

0

0.016393

0.096296

135

3

65

45

0.811475

0.948148

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

cab9d915121b29376b5abbd35405538d28ece776

37

py

Python

tests/__init__.py

kevihiiin/kpm-api

65d14fa380b45dc9237a7f4460c8c3db9ba2be93

[ "MIT" ]

null

tests/__init__.py

kevihiiin/kpm-api

65d14fa380b45dc9237a7f4460c8c3db9ba2be93

[ "MIT" ]

null

tests/__init__.py

kevihiiin/kpm-api

65d14fa380b45dc9237a7f4460c8c3db9ba2be93

[ "MIT" ]

null

"""Unit test package for kpm_api."""

18.5

36

0.675676

6

37

4

1

0

0.135135

37

1

37

0.75

0.810811

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

cad8038feab53f82622c91e3b95c2accd4213bf1

160

py

Python

eogrow/core/area/__init__.py

sentinel-hub/eo-grow

458202fc55c01cc95a17b442144ef2c935103c80

[ "MIT" ]

17

2022-01-27T11:50:23.000Z

2022-02-12T10:01:03.000Z

eogrow/core/area/__init__.py

sentinel-hub/eo-grow

458202fc55c01cc95a17b442144ef2c935103c80

[ "MIT" ]

5

2022-02-10T11:15:09.000Z

2022-02-28T10:46:47.000Z

eogrow/core/area/__init__.py

sentinel-hub/eo-grow

458202fc55c01cc95a17b442144ef2c935103c80

[ "MIT" ]

null

""" A subfolder for area management """ from .batch import BatchAreaManager from .custom_grid import CustomGridAreaManager from .utm import UtmZoneAreaManager

20

46

0.81875

18

160

7.222222

0.777778

0

0.125

160

7

47

22.857143

0.928571

0.19375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b07584e42f0918265ba1e5d736e2b85c1ece379

85

py

Python

server/imageProcessor/common/__init__.py

perryjiang/similo

48866f5c619efb6a11130f59daa15456f2c1ee1a

[ "MIT" ]

null

server/imageProcessor/common/__init__.py

perryjiang/similo

48866f5c619efb6a11130f59daa15456f2c1ee1a

[ "MIT" ]

1

2021-03-31T18:51:37.000Z

server/imageProcessor/common/__init__.py

vimmada/similo

48866f5c619efb6a11130f59daa15456f2c1ee1a

[ "MIT" ]

1

2018-08-01T23:57:33.000Z

""" Common functions and constants across application """ from .util import Response

17

49

0.776471

10

85

6.6

1

0

0.141176

85

4

50

21.25

0.90411

0.576471

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b11f7bd01670ee36cfc5b95c3a1994cc652787e

83

py

Python

src/static/code_stubs/python/blood_types.py

basimr/lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

28

2019-01-06T11:39:13.000Z

2022-02-28T03:35:55.000Z

src/static/code_stubs/python/blood_types.py

basimr/project-lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

88

2017-04-01T15:18:36.000Z

2021-09-22T19:41:11.000Z

src/static/code_stubs/python/blood_types.py

basimr/project-lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

4

2019-08-11T14:51:16.000Z

2021-04-30T16:37:52.000Z

def survive(blood_type, donated_blood): # Your code goes here! return True

20.75

39

0.710843

12

83

4.75

0.916667

0

0.216867

83

3

40

27.666667

0.876923

0.240964

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1b20533e6dda035be18d3fb03be028d43a6bee93

43

py

Python

recipes/fiji/hello.py

corneliusroemer/bioconda-recipes

e1eced9063e15f6a97ab2b8e42cf3e38af4c93ba

[ "MIT" ]

null

recipes/fiji/hello.py

corneliusroemer/bioconda-recipes

e1eced9063e15f6a97ab2b8e42cf3e38af4c93ba

[ "MIT" ]

null

recipes/fiji/hello.py

corneliusroemer/bioconda-recipes

e1eced9063e15f6a97ab2b8e42cf3e38af4c93ba

[ "MIT" ]

null

#!/usr/bin/env python print "Hello Bjoern"

14.333333

21

0.72093

7

43

4.428571

1

0

0.116279

43

2

22

21.5

0.815789

0.465116

0

0.545455

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

1b532bcaa012e2ea57788f1c801bd03a3be11828

76

py

Python

ftp2http/__init__.py

brn73/ftp2http

441530c02fb328b9b41247134f39194a9ab1a895

[ "MIT" ]

4

2015-08-13T08:41:59.000Z

2021-04-23T14:00:48.000Z

ftp2http/__init__.py

brn73/ftp2http

441530c02fb328b9b41247134f39194a9ab1a895

[ "MIT" ]

1

2015-08-30T22:53:37.000Z

ftp2http/__init__.py

brn73/ftp2http

441530c02fb328b9b41247134f39194a9ab1a895

[ "MIT" ]

3

2016-08-01T23:16:43.000Z

2020-02-13T00:53:50.000Z

from . import * # noqa from .version import version as __version__ # noqa

25.333333

51

0.723684

10

76

5.1

0.5

0

0.210526

76

2

52

38

0.85

0.118421

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b604a63fd33c9f9a0eda23549de4fb3e911e1e5

314

py

Python

website/sharedgames/views.py

14gaby14/sharedgames

9102b1d6cb18f69383486e6db2e45141d0da5d2f

[ "Apache-2.0" ]

null

website/sharedgames/views.py

14gaby14/sharedgames

9102b1d6cb18f69383486e6db2e45141d0da5d2f

[ "Apache-2.0" ]

null

website/sharedgames/views.py

14gaby14/sharedgames

9102b1d6cb18f69383486e6db2e45141d0da5d2f

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.http import HttpResponse def index(request): return HttpResponse("This should be the shared games index.") def detail(request, group_id): return HttpResponse("The code is %s." % group_id) def example(request): return HttpResponse("This is an example")

28.545455

65

0.754777

44

314

5.340909

0.568182

0.229787

0.212766

0.246809

0

0.156051

314

11

66

28.545455

0.886792

0

0.225397

0

1

0.375

false

0

0.25

0.375

1

0

null

1

0

null

0

1

0

1

0

5

1b9abafbad973d033641b205497922d24a496623

42

py

Python

telegramcleaner/errors.py

Abstract-X/telegram-cleaner

dc3ae6597722f7369e3b092652a705417a337b63

[ "MIT" ]

1

2022-03-16T08:34:32.000Z

telegramcleaner/errors.py

Abstract-X/telegram-cleaner

dc3ae6597722f7369e3b092652a705417a337b63

[ "MIT" ]

1

2022-03-18T18:12:36.000Z

telegramcleaner/errors.py

Abstract-X/telegram-cleaner

dc3ae6597722f7369e3b092652a705417a337b63

[ "MIT" ]

1

2022-03-16T09:36:58.000Z

class ParsingError(Exception): pass

8.4

30

0.714286

4

42

7.5

1

0

0.214286

42

4

31

10.5

0.909091

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

1bb628e1c8a6d39dd3e698e77d7115a8eca72204

1,483

py

Python

general/erode_and_dilate.py

j-lazo/lumen_segmentation

442b6e642b4743e6b7bf56ab77e11e8e95062ed7

[ "CC0-1.0" ]

null

general/erode_and_dilate.py

j-lazo/lumen_segmentation

442b6e642b4743e6b7bf56ab77e11e8e95062ed7

[ "CC0-1.0" ]

null

general/erode_and_dilate.py

j-lazo/lumen_segmentation

442b6e642b4743e6b7bf56ab77e11e8e95062ed7

[ "CC0-1.0" ]

null

import os import numpy as np import cv2 def dilate(folder, output_folder, kernel_size=3): kernel = np.ones((kernel_size, kernel_size), np.uint8) img_list = sorted(os.listdir(folder)) if not(os.path.isdir(output_folder)): os.mkdir(output_folder) for j, image in enumerate(img_list[:]): print(j, image) img = cv2.imread(os.path.join(folder, image), 1) dilation = cv2.dilate(img, kernel, iterations=1) new_name = ''.join([output_folder, image]) cv2.imwrite(new_name, dilation) def erode(folder, output_folder, kernel_size=3): kernel = np.ones((kernel_size, kernel_size), np.uint8) img_list = sorted(os.listdir(folder)) if not(os.path.isdir(output_folder)): os.mkdir(output_folder) for j, image in enumerate(img_list[:]): print(j, image) img = cv2.imread(os.path.join(folder, image), 1) erosion = cv2.erode(img, kernel, iterations=1) new_name = ''.join([output_folder, image]) cv2.imwrite(new_name, erosion) def main(): path_directory = '/home/nearlab/Jorge/current_work/' \ 'lumen_segmentation/data/lumen_data/' \ 'test/test_02/label/' ouput_folder = '/home/nearlab/Jorge/current_work/' \ 'lumen_segmentation/data/' \ 'lumen_data/test/test_02/label_dilate_3/' dilate(path_directory, ouput_folder, kernel_size=3) if __name__ == "__main__": main()

28.519231

60

0.632502

198

1,483

4.510101

0.272727

0.107503

0.053751

0.057111

0.788354

0

0.018502

0.234659

1,483

52

61

28.519231

0.768282

0

0.457143

0

0.128706

0.110512

0

1

0.085714

false

0

0.085714

0

0.171429

0.057143

0

null

0

1

0

null

0

5

1bb930321e027db025ca444dbdb0094865d71bed

115

py

Python

openforcefield/typing/chemistry/__init__.py

jaimergp/openforcefield

0e8bfd55730f585a5215ef3fb836f023c71ebfb0

[ "MIT" ]

1

2020-04-15T05:24:22.000Z

openforcefield/typing/chemistry/__init__.py

jaimergp/openforcefield

0e8bfd55730f585a5215ef3fb836f023c71ebfb0

[ "MIT" ]

null

openforcefield/typing/chemistry/__init__.py

jaimergp/openforcefield

0e8bfd55730f585a5215ef3fb836f023c71ebfb0

[ "MIT" ]

1

2020-03-29T04:19:37.000Z

# Tools dealing with chemical environments or chemistry from openforcefield.typing.chemistry.environment import *

28.75

57

0.843478

13

115

7.461538

0.923077

0

0.113043

115

3

58

38.333333

0.95098

0.46087

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

848c5f5566d980a9e8daacb6057d3cd0a2bd3e88

146

py

Python

docx_microreader/translators/html/marks.py

DudaEugen/docx_microreader

cc524ff5233b0c074786f2a5c378ea542607359a

[ "MIT" ]

null

docx_microreader/translators/html/marks.py

DudaEugen/docx_microreader

cc524ff5233b0c074786f2a5c378ea542607359a

[ "MIT" ]

null

docx_microreader/translators/html/marks.py

DudaEugen/docx_microreader

cc524ff5233b0c074786f2a5c378ea542607359a

[ "MIT" ]

null

from enum import Enum, unique, auto @unique class ParagraphMark(Enum): FIRST_ELEMENT_NUMBERING = auto() LAST_ELEMENT_NUMBERING = auto()

18.25

36

0.746575

18

146

5.833333

0.611111

0.304762

0.380952

0

0.171233

146

7

37

20.857143

0.867769

0

1

0

false

0

0.2

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

5

84a7c758d3de718046aafc38a92c589d0036fa24

1,000

py

Python

tests/kyu_7_tests/test_power_of_two.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/kyu_7_tests/test_power_of_two.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/kyu_7_tests/test_power_of_two.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.kyu_7.power_of_two import power_of_two class PowerOfTwoTestCase(unittest.TestCase): def test_true(self): self.assertTrue(power_of_two(1)) def test_true_2(self): self.assertTrue(power_of_two(2)) def test_true_3(self): self.assertTrue(power_of_two(4096)) def test_true_4(self): self.assertTrue(power_of_two(33554432)) def test_true_5(self): self.assertTrue(power_of_two(8388608)) def test_true_6(self): self.assertTrue(power_of_two(16777216)) def test_true_7(self): self.assertTrue(power_of_two(8388608)) def test_true_8(self): self.assertTrue(power_of_two(4194304)) def test_false(self): self.assertFalse(power_of_two(5)) def test_false_2(self): self.assertFalse(power_of_two(4194305)) def test_false_3(self): self.assertFalse(power_of_two(16777217)) def test_false_4(self): self.assertFalse(power_of_two(16777215))

23.809524

49

0.696

147

1,000

4.387755

0.231293

0.151938

0.217054

0.285271

0.582946

0.142636

0

0.097744

0.202

1,000

41

50

24.390244

0.710526

0

0.074074

0

0.444444

1

0.444444

false

0

0.074074

0

0.555556

0

null

0

1

0

null

0

1

0

1

0

1

0

5

84c62c6d03db99b9540590a39b2cfc72168fada4

137

py

Python

archive/MCQ/utils/__init__.py

dreinq/DeepQ

abb6d8b492f802fefbc0095e8719377dc708069c

[ "Apache-2.0" ]

null

archive/MCQ/utils/__init__.py

dreinq/DeepQ

abb6d8b492f802fefbc0095e8719377dc708069c

[ "Apache-2.0" ]

null

archive/MCQ/utils/__init__.py

dreinq/DeepQ

abb6d8b492f802fefbc0095e8719377dc708069c

[ "Apache-2.0" ]

1

2020-11-23T09:13:58.000Z

from .runtime import LoggingDisabler, ConfigLogging, QueryGPU, SplitToVirtualGPUs, RotateItems, HotPatch from .ckpt import SaveAndRestore

68.5

104

0.861314

13

137

9.076923

0.846154

0

0.087591

137

2

105

68.5

0.944

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

84d526f82006b70e737dcc45ff66841cd9cf508f

72

py

Python

run_server.py

scherniavsky/lizzy

b2bca022967042032aa5e4c3226d760cadc8db49

[ "Apache-2.0" ]

21

2015-06-01T13:54:04.000Z

2017-06-04T01:04:25.000Z

run_server.py

scherniavsky/lizzy

b2bca022967042032aa5e4c3226d760cadc8db49

[ "Apache-2.0" ]

187

2015-06-02T06:29:35.000Z

2017-05-27T12:37:54.000Z

run_server.py

scherniavsky/lizzy

b2bca022967042032aa5e4c3226d760cadc8db49

[ "Apache-2.0" ]

12

2017-06-09T01:10:24.000Z

2019-05-16T10:44:34.000Z

#!/usr/bin/env python3 import lizzy.wsgi lizzy.wsgi.application.run()

12

28

0.75

11

72

4.909091

0.818182

0.333333

0

0.015385

0.097222

72

5

29

14.4

0.815385

0.291667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

84e463cf96981c635d024aa6cdd59a5eacb47c26

12,058

py

Python

tests/test_cz_customize.py

TheNomet/commitizen

5f973989a81660c78f7b2077220ba0beb0022129

[ "MIT" ]

95

2017-10-09T16:36:48.000Z

2020-03-14T18:54:25.000Z

tests/test_cz_customize.py

TheNomet/commitizen

5f973989a81660c78f7b2077220ba0beb0022129

[ "MIT" ]

108

2017-11-04T11:09:22.000Z

2020-03-17T13:34:48.000Z

tests/test_cz_customize.py

TheNomet/commitizen

5f973989a81660c78f7b2077220ba0beb0022129

[ "MIT" ]

25

2017-11-06T10:29:31.000Z

2020-01-23T09:06:30.000Z

import pytest from commitizen.config import BaseConfig, JsonConfig, TomlConfig, YAMLConfig from commitizen.cz.customize import CustomizeCommitsCz from commitizen.exceptions import MissingCzCustomizeConfigError TOML_STR = r""" [tool.commitizen.customize] message_template = "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example = "feature: this feature enable customize through config file" schema = "<type>: <body>" schema_pattern = "(feature|bug fix):(\\s.*)" commit_parser = "^(?P<change_type>feature|bug fix):\\s(?P<message>.*)?" changelog_pattern = "^(feature|bug fix)?(!)?" change_type_map = {"feature" = "Feat", "bug fix" = "Fix"} bump_pattern = "^(break|new|fix|hotfix)" bump_map = {"break" = "MAJOR", "new" = "MINOR", "fix" = "PATCH", "hotfix" = "PATCH"} change_type_order = ["perf", "BREAKING CHANGE", "feat", "fix", "refactor"] info = "This is a customized cz." [[tool.commitizen.customize.questions]] type = "list" name = "change_type" choices = [ {value = "feature", name = "feature: A new feature."}, {value = "bug fix", name = "bug fix: A bug fix."} ] message = "Select the type of change you are committing" [[tool.commitizen.customize.questions]] type = "input" name = "message" message = "Body." [[tool.commitizen.customize.questions]] type = "confirm" name = "show_message" message = "Do you want to add body message in commit?" """ JSON_STR = r""" { "commitizen": { "name": "cz_jira", "version": "1.0.0", "version_files": [ "commitizen/__version__.py", "pyproject.toml" ], "customize": { "message_template": "{{change_type}}:{% if show_message %} {{message}}{% endif %}", "example": "feature: this feature enable customize through config file", "schema": "<type>: <body>", "schema_pattern": "(feature|bug fix):(\\s.*)", "bump_pattern": "^(break|new|fix|hotfix)", "bump_map": { "break": "MAJOR", "new": "MINOR", "fix": "PATCH", "hotfix": "PATCH" }, "commit_parser": "^(?P<change_type>feature|bug fix):\\s(?P<message>.*)?", "changelog_pattern": "^(feature|bug fix)?(!)?", "change_type_map": {"feature": "Feat", "bug fix": "Fix"}, "change_type_order": ["perf", "BREAKING CHANGE", "feat", "fix", "refactor"], "info": "This is a customized cz.", "questions": [ { "type": "list", "name": "change_type", "choices": [ { "value": "feature", "name": "feature: A new feature." }, { "value": "bug fix", "name": "bug fix: A bug fix." } ], "message": "Select the type of change you are committing" }, { "type": "input", "name": "message", "message": "Body." }, { "type": "confirm", "name": "show_message", "message": "Do you want to add body message in commit?" } ] } } } """ YAML_STR = """ commitizen: name: cz_jira version: 1.0.0 version_files: - commitizen/__version__.py - pyproject.toml customize: message_template: "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example: 'feature: this feature enable customize through config file' schema: "<type>: <body>" schema_pattern: "(feature|bug fix):(\\s.*)" bump_pattern: "^(break|new|fix|hotfix)" bump_map: break: MAJOR new: MINOR fix: PATCH hotfix: PATCH change_type_order: ["perf", "BREAKING CHANGE", "feat", "fix", "refactor"] info: This is a customized cz. questions: - type: list name: change_type choices: - value: feature name: 'feature: A new feature.' - value: bug fix name: 'bug fix: A bug fix.' message: Select the type of change you are committing - type: input name: message message: Body. - type: confirm name: show_message message: Do you want to add body message in commit? """ TOML_STR_INFO_PATH = """ [tool.commitizen.customize] message_template = "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example = "feature: this feature enable customize through config file" schema = "<type>: <body>" bump_pattern = "^(break|new|fix|hotfix)" bump_map = {"break" = "MAJOR", "new" = "MINOR", "fix" = "PATCH", "hotfix" = "PATCH"} info_path = "info.txt" """ JSON_STR_INFO_PATH = r""" { "commitizen": { "customize": { "message_template": "{{change_type}}:{% if show_message %} {{message}}{% endif %}", "example": "feature: this feature enable customize through config file", "schema": "<type>: <body>", "bump_pattern": "^(break|new|fix|hotfix)", "bump_map": { "break": "MAJOR", "new": "MINOR", "fix": "PATCH", "hotfix": "PATCH" }, "info_path": "info.txt" } } } """ YAML_STR_INFO_PATH = """ commitizen: customize: message_template: "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example: 'feature: this feature enable customize through config file' schema: "<type>: <body>" bump_pattern: "^(break|new|fix|hotfix)" bump_map: break: MAJOR new: MINOR fix: PATCH hotfix: PATCH info_path: info.txt """ TOML_STR_WITHOUT_INFO = """ [tool.commitizen.customize] message_template = "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example = "feature: this feature enable customize through config file" schema = "<type>: <body>" bump_pattern = "^(break|new|fix|hotfix)" bump_map = {"break" = "MAJOR", "new" = "MINOR", "fix" = "PATCH", "hotfix" = "PATCH"} """ JSON_STR_WITHOUT_PATH = r""" { "commitizen": { "customize": { "message_template": "{{change_type}}:{% if show_message %} {{message}}{% endif %}", "example": "feature: this feature enable customize through config file", "schema": "<type>: <body>", "bump_pattern": "^(break|new|fix|hotfix)", "bump_map": { "break": "MAJOR", "new": "MINOR", "fix": "PATCH", "hotfix": "PATCH" } } } } """ YAML_STR_WITHOUT_PATH = """ commitizen: customize: message_template: "{{change_type}}:{% if show_message %} {{message}}{% endif %}" example: 'feature: this feature enable customize through config file' schema: "<type>: <body>" bump_pattern: "^(break|new|fix|hotfix)" bump_map: break: MAJOR new: MINOR fix: PATCH hotfix: PATCH """ @pytest.fixture( params=[ TomlConfig(data=TOML_STR, path="not_exist.toml"), JsonConfig(data=JSON_STR, path="not_exist.json"), ] ) def config(request): """Parametrize the config fixture This fixture allow to test multiple config formats, without add the builtin parametrize decorator """ return request.param @pytest.fixture( params=[ TomlConfig(data=TOML_STR_INFO_PATH, path="not_exist.toml"), JsonConfig(data=JSON_STR_INFO_PATH, path="not_exist.json"), YAMLConfig(data=YAML_STR_INFO_PATH, path="not_exist.yaml"), ] ) def config_info(request): return request.param @pytest.fixture( params=[ TomlConfig(data=TOML_STR_WITHOUT_INFO, path="not_exist.toml"), JsonConfig(data=JSON_STR_WITHOUT_PATH, path="not_exist.json"), YAMLConfig(data=YAML_STR_WITHOUT_PATH, path="not_exist.yaml"), ] ) def config_without_info(request): return request.param def test_initialize_cz_customize_failed(): with pytest.raises(MissingCzCustomizeConfigError) as excinfo: config = BaseConfig() _ = CustomizeCommitsCz(config) assert MissingCzCustomizeConfigError.message in str(excinfo.value) def test_bump_pattern(config): cz = CustomizeCommitsCz(config) assert cz.bump_pattern == "^(break|new|fix|hotfix)" def test_bump_map(config): cz = CustomizeCommitsCz(config) assert cz.bump_map == { "break": "MAJOR", "new": "MINOR", "fix": "PATCH", "hotfix": "PATCH", } def test_change_type_order(config): cz = CustomizeCommitsCz(config) assert cz.change_type_order == [ "perf", "BREAKING CHANGE", "feat", "fix", "refactor", ] def test_questions(config): cz = CustomizeCommitsCz(config) questions = cz.questions() expected_questions = [ { "type": "list", "name": "change_type", "choices": [ {"value": "feature", "name": "feature: A new feature."}, {"value": "bug fix", "name": "bug fix: A bug fix."}, ], "message": "Select the type of change you are committing", }, {"type": "input", "name": "message", "message": "Body."}, { "type": "confirm", "name": "show_message", "message": "Do you want to add body message in commit?", }, ] assert list(questions) == expected_questions def test_answer(config): cz = CustomizeCommitsCz(config) answers = { "change_type": "feature", "message": "this feature enaable customize through config file", "show_message": True, } message = cz.message(answers) assert message == "feature: this feature enaable customize through config file" cz = CustomizeCommitsCz(config) answers = { "change_type": "feature", "message": "this feature enaable customize through config file", "show_message": False, } message = cz.message(answers) assert message == "feature:" def test_example(config): cz = CustomizeCommitsCz(config) assert "feature: this feature enable customize through config file" in cz.example() def test_schema(config): cz = CustomizeCommitsCz(config) assert "<type>: <body>" in cz.schema() def test_schema_pattern(config): cz = CustomizeCommitsCz(config) assert r"(feature|bug fix):(\s.*)" in cz.schema_pattern() def test_info(config): cz = CustomizeCommitsCz(config) assert "This is a customized cz." in cz.info() def test_info_with_info_path(tmpdir, config_info): with tmpdir.as_cwd(): tmpfile = tmpdir.join("info.txt") tmpfile.write("Test info") cz = CustomizeCommitsCz(config_info) assert "Test info" in cz.info() def test_info_without_info(config_without_info): cz = CustomizeCommitsCz(config_without_info) assert cz.info() is None def test_commit_parser(config): cz = CustomizeCommitsCz(config) assert cz.commit_parser == "^(?P<change_type>feature|bug fix):\\s(?P<message>.*)?" def test_changelog_pattern(config): cz = CustomizeCommitsCz(config) assert cz.changelog_pattern == "^(feature|bug fix)?(!)?" def test_change_type_map(config): cz = CustomizeCommitsCz(config) assert cz.change_type_map == {"feature": "Feat", "bug fix": "Fix"}

31.157623

99

0.551501

1,234

12,058

5.230956

0.099676

0.041828

0.060418

0.052363

0.813943

0.769171

0.736948

0.679318

0.636871

0.616731

0

0.000715

0.304362

12,058

386

100

31.238342

0.768836

0.010698

0

0.434251

0

0.009174

0.684551

0.055668

0

0.04893

1

0.055046

false

0

0.012232

0.006116

0.076453

0

null

0

1

0

1

0

1

0

null

0

5

84e9715b67ca2df81ccd5ae034dfaa3e952835d2

77

py

Python

z3py/examples/expr.3.py

rainoftime/rainoftime.github.io

d6316f153db0ed96309d81a5f32af9887c6f1a9a

[ "MIT" ]

1

2021-08-01T07:28:03.000Z

z3py/examples/expr.3.py

rainoftime/rainoftime.github.io

d6316f153db0ed96309d81a5f32af9887c6f1a9a

[ "MIT" ]

null

z3py/examples/expr.3.py

rainoftime/rainoftime.github.io

d6316f153db0ed96309d81a5f32af9887c6f1a9a

[ "MIT" ]

null

x = Int('x') print (x + 1).hash() print (1 + x).hash() print x.sort().hash()

15.4

21

0.532468

15

77

2.733333

0.4

0.292683

0

0.03125

0.168831

77

4

22

19.25

0.609375

0

0.012987

0

null

0

null

0.75

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ca0bc394a1edaf61588477eb148e5bc80ec18f96

122

py

Python

tcplite/__init__.py

Vincent0700/tcplite

65031b261cd57325403d0663ee92e5fb3f99a19b

[ "MIT" ]

2

2019-01-17T02:16:15.000Z

2019-01-17T02:17:39.000Z

tcplite/__init__.py

Vincent0700/tcplite

65031b261cd57325403d0663ee92e5fb3f99a19b

[ "MIT" ]

null

tcplite/__init__.py

Vincent0700/tcplite

65031b261cd57325403d0663ee92e5fb3f99a19b

[ "MIT" ]

null

# coding=utf-8 __author__ = 'wang.yuanqiu007@gmail.com' from .server import * from .client import * from .packet import *

20.333333

40

0.737705

17

122

5.058824

0.764706

0.232558

0

0.038095

0.139344

122

6

41

20.333333

0.780952

0.098361

0

0.229358

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ca2e2027d5295041decfee9d79576129a733fdcd

182

py

Python

rpi/lcd/__init__.py

irahorecka/rpi-stocks

ecf0e3289d843977e68604a966e71287b7341e8b

[ "MIT" ]

null

rpi/lcd/__init__.py

irahorecka/rpi-stocks

ecf0e3289d843977e68604a966e71287b7341e8b

[ "MIT" ]

null

rpi/lcd/__init__.py

irahorecka/rpi-stocks

ecf0e3289d843977e68604a966e71287b7341e8b

[ "MIT" ]

null

from .lcd import LCD lcd = LCD() def display(*args, **kwargs): lcd.display(*args, **kwargs) def display_datetime(*args, **kwargs): lcd.display_datetime(*args, **kwargs)

15.166667

41

0.659341

24

182

4.916667

0.333333

0.338983

0.288136

0.338983

0

0.164835

182

11

42

16.545455

0.776316

0

1

0.333333

false

0

0.166667

0

0.5

0

1

0

null

1

0

null

0

1

0

5

ca3380c1b537cbe778d572fb4b569286f0719c97

289

py

Python

trading_system/common/__init__.py

djy-git/trading-system

d2e2ba602cad5604710d8f96d914d4268210e730

[ "MIT" ]

null

trading_system/common/__init__.py

djy-git/trading-system

d2e2ba602cad5604710d8f96d914d4268210e730

[ "MIT" ]

null

trading_system/common/__init__.py

djy-git/trading-system

d2e2ba602cad5604710d8f96d914d4268210e730

[ "MIT" ]

null

"""Import all modules in the ``common`` package """ from common.config import * from common.DBHandler import * from common.env import * from common.LoggerFactory import * from common.metrics import * from common.SignalHandler import * from common.Timer import * from common.util import *

24.083333

47

0.768166

39

289

5.692308

0.410256

0.36036

0.504505

0

0.141869

289

11

48

26.272727

0.895161

0.152249

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

ca8aa97abcc6c959b8987325f11d2c0f5476bf64

7,778

py

Python

icn-scapy/icnscapy/packet.py

westbook1006/H2C-reference

a27f98d7bde313edec09e6da0331e6960c66d44b

[ "BSD-3-Clause-Clear" ]

5

2017-06-02T16:35:02.000Z

2019-12-16T10:59:03.000Z

icn-scapy/icnscapy/packet.py

westbook1006/H2C-reference

a27f98d7bde313edec09e6da0331e6960c66d44b

[ "BSD-3-Clause-Clear" ]

null

icn-scapy/icnscapy/packet.py

westbook1006/H2C-reference

a27f98d7bde313edec09e6da0331e6960c66d44b

[ "BSD-3-Clause-Clear" ]

1

2016-11-23T06:24:18.000Z

""" Lorenzo Saino, Massimo Gallo Copyright (c) 2016 Alcatel-Lucent, Bell Labs ICN packet formats implemented on Scapy and related utility functions """ import zlib import struct from scapy.all import * __all__ = [ 'IcnInterest', 'IcnData', 'interest_over_ip', 'data_over_ip', ] # IP protocol field indicating ICN payload. # In IPv4 specification, 253 is reserved for experimentation IP_PROTO_ICN = 253 # Scapy automatically converts multiple-byte values to big-endian TLV_TYPE_NAME_COMPONENTS_OFFSET = 0x0001 TLV_TYPE_NAME_SEGMENT_IDS_OFFSETS = 0x0002 class IcnInterest(Packet): """Alcatel-Lucent ICN Interest packet format See also: --------- http://www.ietf.org/proceedings/interim/2014/09/27/icnrg/slides/slides-interim-2014-icnrg-2-4.pdf """ name = "ICN_INTEREST" # fmt: B: 1 byte, H: 2bytes, I: 4 bytes fields_desc = [ ShortField("type", 0), ShortField("pkt_len", None), XByteField("hop_limit", 10), ShortField("flags", 0), ShortField("hdr_len", None), FieldLenField("chunk_name_len", None, length_of="chunk_name", fmt="H"), StrLenField("chunk_name", None, length_from=lambda pkt: pkt.chunk_name_len), XShortField("componen_type", TLV_TYPE_NAME_COMPONENTS_OFFSET), FieldLenField("component_offset_len", None, length_of="component_offset", fmt="H"), StrLenField("component_offset", None, length_from=lambda pkt: pkt.component_offset_len) ] def post_build(self, p, pay): """Function called when packet is sent to the wire to generate byte stream This function sets values of header length and packet fields """ hdr_len = self.hdr_len pkt_len = self.pkt_len if not hdr_len: hdr_len = len(p) p = p[:7] + chr(hdr_len >> 8) + chr(hdr_len % 256) + p[9:] if not pkt_len: pkt_len = len(p) + len(pay) p = p[:2] + chr(pkt_len >> 8) + chr(pkt_len % 256) + p[4:] return p + pay def answers(self, other): """Return 1 if other can be an answer to this packet, 0 otherwise""" if not isinstance(other, IcnData): return 0 if other.chunk_name != self.chunk_name: return 0 return 1 class IcnData(Packet): """Alcatel-Lucent ICN Data packet format See also -------- http://www.ietf.org/proceedings/interim/2014/09/27/icnrg/slides/slides-interim-2014-icnrg-2-4.pdf """ # fmt: B: 1 byte, H: 2bytes, I: 4 bytes name = "ICN_DATA" fields_desc = [ ShortField("type", 1), ShortField("pkt_len", None), XByteField("hop_limit", 10), ShortField("flags", 0), ShortField("hdr_len", None), FieldLenField("chunk_name_len", None, length_of="chunk_name", fmt="H"), StrLenField("chunk_name", None, length_from=lambda pkt: pkt.chunk_name_len), XShortField("componen_type", TLV_TYPE_NAME_COMPONENTS_OFFSET), FieldLenField("component_offset_len", None, length_of="component_offset", fmt="H"), StrLenField("component_offset", None, length_from=lambda pkt: pkt.component_offset_len) ] def post_build(self, p, pay): """Function called when packet is sent to the wire to generate byte stream This function sets values of header length and packet fields """ hdr_len = self.hdr_len pkt_len = self.pkt_len if not hdr_len: hdr_len = len(p) p = p[:7] + chr(hdr_len >> 8) + chr(hdr_len % 256) + p[9:] if not pkt_len: pkt_len = len(p) + len(pay) p = p[:2] + chr(pkt_len >> 8) + chr(pkt_len % 256) + p[4:] return p + pay def int_to_ipv4(intval): """Convert an integer (32 bits) value to an IPv4 addressed represented as a *a.b.c.d* string Parameters ---------- intval : int Integer value Returns ------- ipv4 : str The string representation of the IPv6 address """ l = [0, 0, 0, 0] for i in range(4): l[-i] = str(intval % 256) intval >>= 8 return ".".join(l) def compute_offset(name): """Return byte array with offsets of component separators Parameters ---------- name : str The content name Returns ------- offsets : str String of offsets """ offsets = [i for i, ch in enumerate(name) if ch == '/'] return "".join(chr(i >> 8) + chr(i % 256) for i in offsets) def interest_over_ip(name, chunk_id, hash_prefix_only=True, dst_mac_addr=None, dst_ip_addr=None, f_hash=None, component_offset=None): """Return a full ICN over IP Interest packet. The packet contains the CRC32 hash of the name as source IPv4 address and the destination IPv4 address is left blank. Parameters ---------- name : str The ICN object name chunk_id : int The chunk ID hash_prefix_only : bool, optional If True, hash is done on the prefix of the name, i.e. only on the content object name. Otherwise, it is done on the entire object name, comprising also chunk ID dst_mac_addr : str, optional The destination MAC address dst_ip_addr : str, optional The destination IP address f_hash : callable, optional The hash function to use, CRC32 is used if not specified component_offset : str, optional String of component offsets. If None, it is computed by the function """ if not f_hash: f_hash = zlib.crc32 chunk_name = name + "/" if name[-1] != "/" else name chunk_name = chunk_name + struct.pack('>I', chunk_id) eth = Ether() if dst_mac_addr is None else Ether(dst=dst_mac_addr) name_hash = f_hash(name) if hash_prefix_only else f_hash(chunk_name) ip = IP(dst=(dst_ip_addr or "1.1.1.1"), src=int_to_ipv4(name_hash), proto=IP_PROTO_ICN) if not component_offset: component_offset = compute_offset(chunk_name) return eth/ip/IcnInterest(chunk_name=chunk_name, component_offset=component_offset) def data_over_ip(name, chunk_id, payload="", hash_prefix_only=True, dst_mac_addr=None, dst_ip_addr=None, f_hash=None, component_offset=None): """Return a full ICN over IP Data packet. The packet contains the CRC32 hash of the name as source IPv4 address and the destination IPv4 address is left blank. Parameters ---------- name : str The ICN object name chunk_id : int The chunk ID payload : str, optional The payload of the data packet hash_prefix_only : bool, optional If True, hash is done on the prefix of the name, i.e. only on the content object name. Otherwise, it is done on the entire object name, comprising also chunk ID dst_mac_addr : str, optional The destination MAC address dst_ip_addr : str, optional The destination IP address f_hash : callable, optional The hash function to use, CRC32 is used if not specified component_offset : str, optional String of component offsets. If None, it is computed by the function """ if not f_hash: f_hash = zlib.crc32 chunk_name = name + "/" if name[-1] != "/" else name chunk_name = chunk_name + struct.pack('>I', chunk_id) eth = Ether() if dst_mac_addr is None else Ether(dst=dst_mac_addr) name_hash = f_hash(name) if hash_prefix_only else f_hash(chunk_name) ip = IP(dst=(dst_ip_addr or "1.1.1.1"), src=int_to_ipv4(name_hash), proto=IP_PROTO_ICN) if not component_offset: component_offset = compute_offset(chunk_name) return eth/ip/IcnData(chunk_name=chunk_name, component_offset=component_offset)/payload

34.568889

101

0.641939

1,128

7,778

4.245567

0.184397

0.045103

0.016705

0.012529

0.745667

0.73293

0.712884

0.703278

0

0.023982

0.254821

7,778

224

102

34.723214

0.802277

0.387632

0

0.606061

0

0.080983

0

0.00273

0

1

0.070707

false

0

0.030303

0

0.252525

0

null

0

1

0

null

0

5

04c8ebc674f865c2939867088f95f26cdedda054

5,992

py

Python

nevow/test/test_useragent.py

wthie/nevow

e630de8f640f27df85c38bc37ecdaf4e7b931afc

[ "MIT" ]

49

2015-03-18T15:29:16.000Z

2021-11-17T12:30:51.000Z

src/nevow/test/test_useragent.py

winjer/squeal

20401986e0d1698776f5b482b28e14c57b11833c

[ "Apache-2.0" ]

62

2015-01-21T08:48:08.000Z

2021-04-02T17:31:29.000Z

src/nevow/test/test_useragent.py

winjer/squeal

20401986e0d1698776f5b482b28e14c57b11833c

[ "Apache-2.0" ]

30

2015-02-26T09:35:39.000Z

2021-07-24T12:45:04.000Z

""" Tests for L{nevow.useragent}. """ from twisted.trial.unittest import TestCase from nevow.useragent import UserAgent, browsers class UserAgentTests(TestCase): """ Tests for L{UserAgent}. """ def test_parseNetscape71(self): """ L{UserAgent.parse_GECKO} should return a UserAgent instance for a Netscape 7.1 User-Agent string. """ agent = UserAgent.parse_GECKO( 'Mozilla/5.0 (Windows; U; Windows NT 5.1; ja-JP; rv:1.4) ' 'Gecko/20030624 Netscape/7.1 (ax)') self.assertEqual(agent.browser, browsers.GECKO) self.assertEqual(agent.version, (20030624,)) def test_parseFirefox15(self): """ L{UserAgent.parse_GECKO} should return a UserAgent instance for a Firefox 1.5 User-Agent string. """ agent = UserAgent.parse_GECKO( 'Mozilla/5.0 (Windows; U; Windows NT 5.1; en; rv:1.8.0.3) ' 'Gecko/20060426 Firefox/1.5.0.3') self.assertEqual(agent.browser, browsers.GECKO) self.assertEqual(agent.version, (20060426,)) def test_parseBonEcho(self): """ L{UserAgent.parse_GECKO} should return a UserAgent instance for a BonEcho Firefox 2.0 alpha User-Agent string. """ agent = UserAgent.parse_GECKO( 'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1a2) ' 'Gecko/20060512 BonEcho/2.0a2') self.assertEqual(agent.browser, browsers.GECKO) self.assertEqual(agent.version, (20060512,)) def test_parseFirefox20(self): """ L{UserAgent.parse_GECKO} should return a UserAgent instance for a Firefox 2.0 User-Agent string. """ agent = UserAgent.parse_GECKO( 'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-GB; rv:1.8.1.4) ' 'Gecko/20070515 Firefox/2.0.0.4') self.assertEqual(agent.browser, browsers.GECKO) self.assertEqual(agent.version, (20070515,)) def test_parseExplorer45(self): """ L{UserAgent.parse_MSIE} should return a UserAgent instance for an Internet Explorer 4.5 User-Agent string. """ agent = UserAgent.parse_MSIE( 'Mozilla/4.0 (compatible; MSIE 4.5; Windows 98; Win 9x 4.8410008)') self.assertEqual(agent.browser, browsers.INTERNET_EXPLORER) self.assertEqual(agent.version, (4, 5)) def test_parseExplorer55(self): """ L{UserAgent.parse_MSIE} should return a UserAgent instance for an Internet Explorer 5.5 User-Agent string. """ agent = UserAgent.parse_MSIE( 'Mozilla/5.0 (compatible; MSIE 5.5; Windows 98; Win 9x 4.1704896)') self.assertEqual(agent.browser, browsers.INTERNET_EXPLORER) self.assertEqual(agent.version, (5, 5)) def test_parseExplorer65(self): """ L{UserAgent.parse_MSIE} should return a UserAgent instance for an Internet Explorer 6.5 User-Agent string. """ agent = UserAgent.parse_MSIE( 'Mozilla/5.0 (compatible; MSIE 6.5; Windows 98; Win 9x 4.7654712)') self.assertEqual(agent.browser, browsers.INTERNET_EXPLORER) self.assertEqual(agent.version, (6, 5)) def test_parseOmniWeb607(self): """ L{UserAgent.parse_WEBKIT} should return a UserAgent instance for an OmniWeb User-Agent string. """ agent = UserAgent.parse_WEBKIT( 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/420+ ' '(KHTML, like Gecko, Safari/420) OmniWeb/v607.17') self.assertEqual(agent.browser, browsers.WEBKIT) self.assertEqual(agent.version, (420,)) def test_parseSafari20(self): """ L{UserAgent.parse_WEBKIT} should return a UserAgent instance for a Safari 2.0 User-Agent string. """ agent = UserAgent.parse_WEBKIT( 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X; en) AppleWebKit/' '418.9.1 (KHTML, like Gecko) Safari/419.3') self.assertEqual(agent.browser, browsers.WEBKIT) self.assertEqual(agent.version, (418, 9, 1)) def test_parseOpera9(self): """ L{UserAgent.parse_OPERA} should return a UserAgent instance for an Opera 9 User-Agent string. """ agent = UserAgent.parse_OPERA('Opera/9.20 (Windows NT 6.0; U; en)') self.assertEqual(agent.browser, browsers.OPERA) self.assertEqual(agent.version, (9, 20)) def test_geckoParser(self): """ It should be possible to invoke the Gecko parser via L{UserAgent.parse} with an appropriate string. """ agent = UserAgent.fromHeaderValue( 'Mozilla/5.0 (Windows; U; Windows NT 5.1; ja-JP; rv:1.4) ' 'Gecko/20030624 Netscape/7.1 (ax)') self.assertEqual(agent.browser, browsers.GECKO) def test_webkitParser(self): """ It should be possible to invoke the WebKit parser via L{UserAgent.parse} with an appropriate string. """ agent = UserAgent.fromHeaderValue( 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/420+ ' '(KHTML, like Gecko, Safari/420) OmniWeb/v607.17') self.assertEqual(agent.browser, browsers.WEBKIT) def test_msieParser(self): """ It should be possible to invoke the MSIE parser via L{UserAgent.parse} with an appropriate string. """ agent = UserAgent.fromHeaderValue( 'Mozilla/4.0 (compatible; MSIE 4.5; Windows 98; Win 9x 4.8410008)') self.assertEqual(agent.browser, browsers.INTERNET_EXPLORER) def test_operaParser(self): """ It should be possible to invoke the Opera parser via L{UserAgent.parse} with an appropriate string. """ agent = UserAgent.fromHeaderValue('Opera/9.20 (Windows NT 6.0; U; en)') self.assertEqual(agent.browser, browsers.OPERA)

35.455621

79

0.620828

753

5,992

4.889774

0.152722

0.091255

0.130364

0.102662

0.791146

0.772678

0.762086

0.725149

0.714557

0

0.064135

0.266188

5,992

168

80

35.666667

0.773254

0.244159

0

0.48

0

0.146667

0.267256

0

0.32

1

0.186667

false

0

0.026667

0

0.226667

0

null

0

1

0

null

0

5

04e0bb0adeede79780bab39de27aed691122d532

127

py

Python

tests/test_pipeline.py

germaneduardo/sentiment-classification-models

dee6e74eeea92c79ec4d77b08edf4c3632ec6a98

[ "MIT" ]

null

tests/test_pipeline.py

germaneduardo/sentiment-classification-models

dee6e74eeea92c79ec4d77b08edf4c3632ec6a98

[ "MIT" ]

null

tests/test_pipeline.py

germaneduardo/sentiment-classification-models

dee6e74eeea92c79ec4d77b08edf4c3632ec6a98

[ "MIT" ]

null

from sentiment_analysis_models.data import pipeline def test_process_tweet(): pipeline.process_tweet("a") assert True

21.166667

51

0.787402

17

127

5.588235

0.823529

0.252632

0

0.141732

127

6

52

21.166667

0.87156

0

0.007813

0

0.25

1

0.25

true

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

b6f86aa79a9b62e04ad6e807e5611a6d80bfda12

215

py

Python

Learn/30-Days-Of-Code/Day 27/testing.py

Adriel-M/HackerRank

0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5

[ "MIT" ]

1

2021-11-24T16:43:10.000Z

Learn/30-Days-Of-Code/Day 27/testing.py

Adriel-M/HackerRank

0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5

[ "MIT" ]

null

Learn/30-Days-Of-Code/Day 27/testing.py

Adriel-M/HackerRank

0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5

[ "MIT" ]

null

# https://www.hackerrank.com/challenges/30-testing/forum/comments/138775 print("5") print("5 3\n-1 90 999 100 0") print("4 2\n0 -1 2 1") print("3 3\n-1 0 1") print("6 1\n-1 0 1 -1 2 3") print("7 3\n-1 0 1 2 3 4 5")

26.875

72

0.627907

56

215

2.410714

0.428571

0.059259

0.066667

0.088889

0.074074

0

0.269231

0.153488

215

7

73

30.714286

0.472527

0.325581

0

0.573427

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

8e149b61cb295ace529fdb7658d3201ffb678b2f

105

py

Python

solumdashboard/applications/workflows/__init__.py

openstack/solum-dashboard

8e4c80b91b6bcf724e91b3f102cddbdb15b7369c

[ "Apache-2.0" ]

16

2015-09-24T07:35:11.000Z

2019-01-28T22:11:35.000Z

solumdashboard/applications/workflows/__init__.py

stackforge/solum-dashboard

f2d61f2e0258e30285731cc5fa66e86dacc9cb3e

[ "Apache-2.0" ]

1

2019-12-04T21:50:19.000Z

2019-12-04T21:50:22.000Z

solumdashboard/applications/workflows/__init__.py

stackforge/solum-dashboard

f2d61f2e0258e30285731cc5fa66e86dacc9cb3e

[ "Apache-2.0" ]

1

2016-05-30T10:00:53.000Z

# Importing non-modules that are not used explicitly from .update import UpdateApplicationClass # noqa

26.25

52

0.809524

13

105

6.538462

1

0

0.152381

105

3

53

35

0.955056

0.52381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8e3ebe11c8eba8be3bd2a7cf9e47325898fea468

513

py

Python

wol_control/models.py

TheLastBilly/wol_control

0e16c4ee0b89de3d0870e7dcc9026c55b9fd92b6

[ "BSD-2-Clause" ]

null

wol_control/models.py

TheLastBilly/wol_control

0e16c4ee0b89de3d0870e7dcc9026c55b9fd92b6

[ "BSD-2-Clause" ]

null

wol_control/models.py

TheLastBilly/wol_control

0e16c4ee0b89de3d0870e7dcc9026c55b9fd92b6

[ "BSD-2-Clause" ]

null

from flask_login import UserMixin from . import db class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100)) password = db.Column(db.String(100)) admin = db.Column(db.Boolean()) class Mac(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100)) mac = db.Column(db.String(18)) ip = db.Column(db.String(16)) admin = db.Column(db.Boolean()) public_id = db.Column(db.String(100))

32.0625

48

0.672515

81

513

4.209877

0.320988

0.234604

0.293255

0.281525

0.662757

0.422287

0

0.037559

0.169591

513

16

49

32.0625

0.762911

0

0.428571

0

1

0

false

0.071429

0.142857

0

1

0

null

1

0

null

0

1

0

1

0

5

6d41d8666e851b2203f25e56f9a0a7d722d8199e

89

py

Python

alliancewar/__init__.py

Trapavko/CollectorDevTeam-mcoc-v3

c81594527ff2a774438a1823ab2d9fea4d2f5d5f

[ "MIT" ]

null

alliancewar/__init__.py

Trapavko/CollectorDevTeam-mcoc-v3

c81594527ff2a774438a1823ab2d9fea4d2f5d5f

[ "MIT" ]

null

alliancewar/__init__.py

Trapavko/CollectorDevTeam-mcoc-v3

c81594527ff2a774438a1823ab2d9fea4d2f5d5f

[ "MIT" ]

null

from .alliancewar import AllianceWar def setup(bot): bot.add_cog(AllianceWar())

17.8

37

0.719101

11

89

5.727273

0.727273

0

0.179775

89

4

38

22.25

0.863014

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6d5f86c914c71c187e914ac38fbfe1b977bb89d5

33,486

py

Python

ssa_sim_v2/result_aggregators/experiment_plot_visualizer.py

donghun2018/adclick-simulator-v2

ade886e9dcbde9fcea218a19f0130cc09f81e55e

[ "MIT" ]

null

ssa_sim_v2/result_aggregators/experiment_plot_visualizer.py

donghun2018/adclick-simulator-v2

ade886e9dcbde9fcea218a19f0130cc09f81e55e

[ "MIT" ]

null

ssa_sim_v2/result_aggregators/experiment_plot_visualizer.py

donghun2018/adclick-simulator-v2

ade886e9dcbde9fcea218a19f0130cc09f81e55e

[ "MIT" ]

null

# Fix paths for imports to work in unit tests ---------------- if __name__ == "__main__": from _fix_paths import fix_paths fix_paths() # ------------------------------------------------------------ # Load libraries --------------------------------------------- import pandas as pd import numpy as np import os import matplotlib.pyplot as plt from ssa_sim_v2.tools.directory_utils import ensure_dir from ssa_sim_v2.result_aggregators.experiment_loader import ExperimentLoader from ssa_sim_v2.tools.file_data_handler import FileDataHandler # ------------------------------------------------------------ class SummaryExperimentPlotVisualizer(object): def __init__(self, root_directory, chart_directory, experiment_name, state_type): self.root_directory = root_directory self.series_plot_visualizer = SeriesPlotVisualizer(root_directory=root_directory, chart_directory=chart_directory, experiment_name=experiment_name, state_type=state_type) self.bar_plot_visualizer = ProfitBarPlotVisualizer(root_directory=root_directory, chart_directory=chart_directory, experiment_name=experiment_name, state_type=state_type) self.rep_result_series_plot_visualizer = RepResultSeriesPlotVisualizer(root_directory=root_directory) self.experiment_loader = ExperimentLoader(root_directory=root_directory) def generate_summary_profit_series_plots(self, result_dict, save=False): self.series_plot_visualizer.visualize(result_dict, save) def generate_summary_profit_bar_plots(self, result_dict, save=False): self.bar_plot_visualizer.visualize(result_dict, save) class RepResultExperimentPlotVisualizer(object): def __init__(self, root_directory, figsize=(15, 7), save=False): self.root_directory = root_directory self.figsize = figsize self.save = save self.rep_result_series_plot_visualizer = RepResultSeriesPlotVisualizer(root_directory, figsize, save) self.rep_result_cum_series_plot_visualizer = RepResultCumSeriesPlotVisualizer(root_directory, figsize, save) self.experiment_loader = ExperimentLoader(root_directory) self.comparison_series_plot_visualizer = PriorSimulatorSeriesPlotVisualizer(root_directory, figsize, save) plt.style.use("seaborn-whitegrid") def generate_series_bid_rep_result(self, experiment_name): self._generate_series_rep_result(series_name="bid", experiment_name=experiment_name) def generate_series_profit_rep_result(self, experiment_name): """ Generates series plot of profit obtained from experiment rounds for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of profit (display or save). """ self._generate_series_rep_result(series_name="profit", experiment_name=experiment_name) def generate_series_cumulative_bid_rep_result(self, experiment_name, slice_result=None): self._generate_cumulative_series_rep_result(series_name="bid", experiment_name=experiment_name, slice_result=slice_result) def generate_series_cumulative_profit_rep_result(self, experiment_name, slice_result=None): """ Generates series plot of cumulative profit obtained from experiment rounds for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :param dict slice_result: :return: Return generated series plot of profit (display or save). """ self._generate_cumulative_series_rep_result(series_name="profit", experiment_name=experiment_name, slice_result=slice_result) def generate_series_prior_auctions_rep_result(self, experiment_name): """ Generates series plot of auctions used as a prior in simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior auctions (display or save). """ self._generate_series_rep_result(series_name="prior.auctions", experiment_name=experiment_name) def generate_series_prior_conversion_rate_rep_result(self, experiment_name, slice_result=None): """ Generates series plot of conversion_rate used as a prior in simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :param dict slice_result: :return: Return generated series plot of prior conversion rate (display or save). """ self._generate_series_rep_result(series_name="prior.conversion_rate", experiment_name=experiment_name, slice_result=slice_result) def generate_series_prior_dcpc_rep_result(self, experiment_name): """ Generates series plot of dcpc used as a prior in simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior dcpc (display or save). """ self._generate_series_rep_result(series_name="prior.dcpc", experiment_name=experiment_name) def generate_series_prior_max_cp_rep_result(self, experiment_name): """ Generates series plot of max_cp used in simulator to calculate number of clicks for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior tau (display or save). """ self._generate_series_rep_result(series_name="prior.max_cp", experiment_name=experiment_name) def generate_series_prior_tau_rep_result(self, experiment_name): """ Generates series plot of tau used in simulator to calculate number of clicks for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior max_cp (display or save). """ self._generate_series_rep_result(series_name="prior.tau", experiment_name=experiment_name) def generate_series_prior_theta_1_rep_result(self, experiment_name): """ Generates series plot of theta_1 used in simulator to calculate number of clicks for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior theta_1 (display or save). """ self._generate_series_rep_result(series_name="prior.theta_1", experiment_name=experiment_name) def generate_series_prior_theta_0_rep_result(self, experiment_name): """ Generates series plot of theta_0 used in simulator to calculate number of clicks for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior theta_0 (display or save). """ self._generate_series_rep_result(series_name="prior.theta_0", experiment_name=experiment_name) def generate_series_prior_rpv_rep_result(self, experiment_name): """ Generates series plot of rpv used as a prior in simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior rpv (display or save). """ self._generate_series_rep_result(series_name="prior.rpv", experiment_name=experiment_name) def generate_series_prior_expected_profit_rep_result(self, experiment_name): """ Generates series plot of rpv used as a prior in simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of prior rpv (display or save). """ self._generate_series_rep_result(series_name="prior.expected_profit", experiment_name=experiment_name) def generate_series_simulator_auctions_rep_result(self, experiment_name): """ Generates series plot of number of auctions obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated auctions (display or save). """ self._generate_series_rep_result(series_name="simulator.auctions", experiment_name=experiment_name) def generate_series_simulator_click_probability_rep_result(self, experiment_name): """ Generates series plot for value of click probability obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of click probability (display or save). """ self._generate_series_rep_result(series_name="simulator.click_probability", experiment_name=experiment_name) def generate_series_simulator_clicks_rep_result(self, experiment_name): """ Generates series plot of number of clicks obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated clicks (display or save). """ self._generate_series_rep_result(series_name="simulator.clicks", experiment_name=experiment_name) def generate_series_simulator_conversions_rep_result(self, experiment_name): """ Generates series plot of number of conversions obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated conversions (display or save). """ self._generate_series_rep_result(series_name="simulator.conversions", experiment_name=experiment_name) def generate_series_simulator_cost_rep_result(self, experiment_name): """ Generates series plot for value of cost obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated cost (display or save). """ self._generate_series_rep_result(series_name="simulator.cost", experiment_name=experiment_name) def generate_series_simulator_cpc_rep_result(self, experiment_name): """ Generates series plot for value of cpc obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated cpc (display or save). """ self._generate_series_rep_result(series_name="simulator.cpc", experiment_name=experiment_name) def generate_series_simulator_cpc_bid_rep_result(self, experiment_name): """ Generates series plot for value of cpc bid obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated cpc bid (display or save). """ self._generate_series_rep_result(series_name="simulator.cpc_bid", experiment_name=experiment_name) def generate_series_simulator_cvr_rep_result(self, experiment_name): """ Generates series plot for value of cvr obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated cvr (display or save). """ self._generate_series_rep_result(series_name="simulator.cvr", experiment_name=experiment_name) def generate_series_simulator_dcpc_rep_result(self, experiment_name): """ Generates series plot for value of dcpc obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated dcpc (display or save). """ self._generate_series_rep_result(series_name="simulator.dcpc", experiment_name=experiment_name) def generate_series_simulator_revenue_rep_result(self, experiment_name): """ Generates series plot for value of revenue obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated revenue (display or save). """ self._generate_series_rep_result(series_name="simulator.revenue", experiment_name=experiment_name) def generate_series_simulator_rpv_rep_result(self, experiment_name): """ Generates series plot for value of rpv obtained from simulator for defined experiment spec name. :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of generated rpv (display or save). """ self._generate_series_rep_result(series_name="simulator.rpv", experiment_name=experiment_name) def generate_comparison_series_auctions_rep_result(self, experiment_name): """ :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of profit (display or save). """ self._generate_comparison_series_rep_result(series_name="auctions", experiment_name=experiment_name) def generate_comparison_series_clicks_rep_result(self, experiment_name): """ :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of profit (display or save). """ self._generate_comparison_series_rep_result(series_name="clicks", experiment_name=experiment_name) def generate_comparison_series_conversion_rate_rep_result(self, experiment_name): """ :param str experiment_name: Name of the experiment spec name. :return: Return generated series plot of profit (display or save). """ self._generate_comparison_series_rep_result(series_name="conversion_rate", experiment_name=experiment_name) def _generate_series_rep_result(self, series_name, experiment_name, slice_result=None): """ :param str series_name: :param str experiment_name: :return: """ policy_result_dict = self.experiment_loader.load_experiment_repetition_results_for_each_policy(experiment_name) self.rep_result_series_plot_visualizer.visualize(policy_result_dict=policy_result_dict, series_name=series_name, experiment_name=experiment_name, slice_result=slice_result) def _generate_comparison_series_rep_result(self, series_name, experiment_name, slice_result=None): """ :param str series_name: :param str experiment_name: :return: """ policy_result_dict = self.experiment_loader.load_experiment_repetition_results_for_each_policy(experiment_name) self.comparison_series_plot_visualizer.visualize(policy_result_dict=policy_result_dict, series_name=series_name, experiment_name=experiment_name, slice_result=slice_result) def _generate_cumulative_series_rep_result(self, series_name, experiment_name, slice_result=None): """ :param str series_name: :param str experiment_name: :return: """ policy_result_dict = self.experiment_loader.load_experiment_repetition_results_for_each_policy(experiment_name) self.rep_result_cum_series_plot_visualizer.visualize(policy_result_dict=policy_result_dict, series_name=series_name, experiment_name=experiment_name, slice_result=slice_result) class PlotVisualizer(object): def __init__(self, root_directory, chart_directory=None, experiment_name=None): self.root_directory = root_directory self.chart_directory = chart_directory self.experiment_name = experiment_name def visualize(self, **kwargs): pass class RepResultSeriesPlotVisualizer(PlotVisualizer): def __init__(self, root_directory, figsize=(15, 7), save=False): PlotVisualizer.__init__(self, root_directory) self.figsize = figsize self.save = save def visualize(self, policy_result_dict, series_name, experiment_name, slice_result=None): """ :param policy_result_dict: :param series_name: :param experiment_name: :param slice_result: :return: """ df_list = list() extracted_index = None for policy_name, rep_result_dict_list in policy_result_dict.items(): for rep_result_dict in rep_result_dict_list: seed_dict = rep_result_dict["seed"] action_df = rep_result_dict["action_experiment_df"] if extracted_index is None: extracted_index = action_df["datetime"] action_df["policy_name"] = policy_name action_df["seed_mod"] = seed_dict["mod"] action_df["seed_pol"] = seed_dict["pol"] df_list.append(action_df) final_df = pd.concat(df_list, axis=0, ignore_index=True) # type: pd.DataFrame if series_name not in final_df.columns: raise ValueError("Incorrect value of the series. There isn't series {} in experiment result DataFrame".format(series_name)) for group_idx, group_df in final_df.groupby(['seed_mod', 'seed_pol']): policy_series_list = list() policy_name_list = list() for policy_name, policy_group in group_df.groupby(["policy_name"])[series_name]: policy_name_list.append(policy_name) policy_series_list.append(policy_group.reset_index(drop=True)) result_df = pd.concat(policy_series_list, axis=1) result_df = result_df.set_index(extracted_index) # type: pd.DataFrame result_df.columns = policy_name_list if slice_result is not None: result_df = result_df.loc[slice_result["start"]:slice_result["end"], :] ax = result_df.plot(figsize=self.figsize, alpha=0.5) ax.set_ylabel(series_name.capitalize().replace("_", " ")) ax.set_title("Experiment repetition results for {}".format(series_name)) # plt.tight_layout() x0, x1, y0, y1 = plt.axis() plot_margin = 2.25 plt.axis((x0 - plot_margin, x1 + plot_margin, y0 - plot_margin, y1 + plot_margin)) if self.save: file_name = "experiment_repetition_results_[{}].png".format(series_name) plt.savefig(os.path.join(self.root_directory, experiment_name, file_name), bbox_inches="tight") plt.close() else: plt.show() class PriorSimulatorSeriesPlotVisualizer(PlotVisualizer): def __init__(self, root_directory, figsize=(15, 7), save=False): PlotVisualizer.__init__(self, root_directory) self.figsize = figsize self.save = save def visualize(self, policy_result_dict, series_name, experiment_name, slice_result=None): """ :param policy_result_dict: :param series_name: :param experiment_name: :param slice_result: :return: """ df_list = list() extracted_index = None for policy_name, rep_result_dict_list in policy_result_dict.items(): for rep_result_dict in rep_result_dict_list: seed_dict = rep_result_dict["seed"] action_df = rep_result_dict["action_experiment_df"] if extracted_index is None: extracted_index = action_df["datetime"] action_df["policy_name"] = policy_name action_df["seed_mod"] = seed_dict["mod"] action_df["seed_pol"] = seed_dict["pol"] df_list.append(action_df) final_df = pd.concat(df_list, axis=0, ignore_index=True) # type: pd.DataFrame if series_name == "conversion_rate": simulator_series_name = "cvr" else: simulator_series_name = series_name if "simulator.{}".format(simulator_series_name) not in final_df.columns: raise ValueError("Incorrect value of the series. There isn't series {} in experiment result DataFrame".format(simulator_series_name)) for policy_name, group_df in final_df.groupby(["policy_name"]): policy_series_list = list() series_names_list = list() for seed_names, policy_group in group_df.groupby(['seed_mod', 'seed_pol'])["simulator.{}".format(simulator_series_name)]: series_names_list.append(seed_names) policy_series_list.append(policy_group.reset_index(drop=True)) spec_dir = os.path.join("roomsage_simulator_starter", "experiment_specs", "historical") file_data_handler = FileDataHandler() experiment_spec = file_data_handler.load_spec(spec_dir, "{}".format(experiment_name)) dataset_name = experiment_spec["dataset_name"] file_data_handler = FileDataHandler() prior_df = file_data_handler.load_data("", dataset_name) prior_df["datetime"] = pd.to_datetime(prior_df["date"]) prior_df = prior_df.set_index(prior_df["datetime"]) prior_df = prior_df.loc[extracted_index[0]:, :] series_names_list.append("PRIOR") policy_series_list.append(prior_df[[series_name]].reset_index(drop=True)) result_df = pd.concat(policy_series_list, axis=1) result_df = result_df.set_index(extracted_index) # type: pd.DataFrame result_df = result_df.resample(rule="1M").sum() result_df.columns = series_names_list if slice_result is not None: result_df = result_df.loc[slice_result["start"]:slice_result["end"], :] ax = result_df.plot(figsize=self.figsize, alpha=0.5) ax.set_ylabel(series_name.capitalize().replace("_", " ")) ax.set_title("Experiment results for {}, using {} policy".format(series_name, policy_name)) # plt.tight_layout() x0, x1, y0, y1 = plt.axis() plot_margin = 2.25 plt.axis((x0 - plot_margin, x1 + plot_margin, y0 - plot_margin, y1 + plot_margin)) if self.save: file_name = "experiment_repetition_results_[{}].png".format(series_name) plt.savefig(os.path.join(self.root_directory, experiment_name, file_name), bbox_inches="tight") plt.close() else: plt.show() class RepResultCumSeriesPlotVisualizer(PlotVisualizer): def __init__(self, root_directory, figsize=(15, 7), save=False): PlotVisualizer.__init__(self, root_directory) self.figsize = figsize self.save = save def visualize(self, policy_result_dict, series_name, experiment_name, slice_result=None): """ :param policy_result_dict: :param series_name: :param experiment_name: :param slice_result: :return: """ df_list = list() extracted_index = None for policy_name, rep_result_dict_list in policy_result_dict.items(): for rep_result_dict in rep_result_dict_list: seed_dict = rep_result_dict["seed"] action_df = rep_result_dict["action_experiment_df"] if extracted_index is None: extracted_index = action_df["datetime"] action_df["policy_name"] = policy_name action_df["seed_mod"] = seed_dict["mod"] action_df["seed_pol"] = seed_dict["pol"] df_list.append(action_df) final_df = pd.concat(df_list, axis=0, ignore_index=True) # type: pd.DataFrame if series_name not in final_df.columns: raise ValueError("Incorrect value of the series. There isn't series {} in experiment result DataFrame".format(series_name)) for group_idx, group_df in final_df.groupby(['seed_mod', 'seed_pol']): policy_series_list = list() policy_name_list = list() for policy_name, policy_group in group_df.groupby(["policy_name"])[series_name]: policy_name_list.append(policy_name) policy_series_list.append(policy_group.reset_index(drop=True)) result_df = pd.concat(policy_series_list, axis=1) result_df = result_df.set_index(extracted_index) # type: pd.DataFrame result_df.columns = policy_name_list if slice_result is not None: result_df = result_df.loc[slice_result["start"]:slice_result["end"], :] ax = result_df.cumsum().plot(figsize=self.figsize, alpha=0.5) ax.set_ylabel(series_name.capitalize().replace("_", " ")) ax.set_title("Experiment repetition results for cumulative sum of {}".format(series_name)) if self.save: file_name = "experiment_repetition_results_[{}].png".format(series_name) plt.savefig(os.path.join(self.root_directory, experiment_name, file_name), bbox_inches="tight") plt.close() else: plt.show() class SeriesPlotVisualizer(PlotVisualizer): def __init__(self, root_directory, chart_directory, experiment_name, state_type): super().__init__(root_directory, chart_directory, experiment_name) self.state_type = state_type def visualize(self, result_dict, save=False): plt.style.use("seaborn-whitegrid") action_policy_mean_results_df = result_dict['action_policy_mean_df'] action_policy_std_results_df = result_dict['action_policy_std_df'] action_policy_counter_df = result_dict['action_policy_counter_df'] self.generate_cumulative_and_avg_series_plots(mean_df=action_policy_mean_results_df, std_df=action_policy_std_results_df, counter_df=action_policy_counter_df, save=save) def generate_avg_series_plot(self, mean_df, std_df, counter_df, save=False): mean_series = mean_df / counter_df std_series = std_df / np.sqrt(counter_df) self._generate_plot_series(mean_df=mean_series, std_df=std_series, plot_type="avg", save=save) def generate_cumulative_series_plot(self, mean_df, std_df, save=False): self._generate_plot_series(mean_df=mean_df, std_df=std_df, plot_type="cum", save=save) def generate_cumulative_and_avg_series_plots(self, mean_df, std_df, counter_df, save=False): self.generate_cumulative_series_plot(mean_df=mean_df, std_df=std_df, save=save) self.generate_avg_series_plot(mean_df=mean_df, std_df=std_df, counter_df=counter_df, save=save) def _generate_plot_series(self, mean_df, std_df, plot_type="avg", save=False): if plot_type == "avg": y_label = "Average {} profit".format(self.state_type) title = "Average {} Profit Between Checkpoints".format(self.state_type.capitalize()) file_name = "Chart_2_{}.png" elif plot_type == "cum": y_label = "Average cumulative profit" title = "Cumulative Profit Between Checkpoints" file_name = "Chart_1_{}.png" else: raise ValueError("Incorrect value of the plot_type") ax = mean_df.plot(figsize=(20, 7), marker='o', markersize=5, yerr=std_df) ax.set_xlabel("Day") ax.set_ylabel(y_label) ax.set_title(title) plt.legend(bbox_to_anchor=(0.5, -0.17), loc="upper center", frameon=False, ncol=2, mode="expand") if save: file_name = file_name.format(y_label.replace(" ", "_")) file_path = os.path.join(self.chart_directory, file_name) ensure_dir(file_path) plt.savefig(file_path, bbox_inches="tight") plt.show() plt.close() else: plt.show() class ProfitBarPlotVisualizer(PlotVisualizer): def __init__(self, root_directory, chart_directory, experiment_name, state_type): super().__init__(root_directory, chart_directory, experiment_name) self.state_type = state_type plt.style.use("seaborn-whitegrid") def visualize(self, result_dict, save=False): action_policy_mean_results_df = result_dict['action_policy_mean_df'] action_policy_counter_df = result_dict['action_policy_counter_df'] self.generate_total_and_avg_bar_plots(mean_df=action_policy_mean_results_df, counter_df=action_policy_counter_df, save=save) def generate_total_and_avg_bar_plots(self, mean_df, counter_df, save=False): self.generate_total_bar_plot(mean_df, save) self.generate_average_bar_plot(mean_df, counter_df, save) def generate_total_bar_plot(self, mean_df, save=False): # Calculate total profit total_profit = mean_df.sum(axis=0) self._generate_bar_plot(series=total_profit, plot_type="total", save=save) def generate_average_bar_plot(self, mean_df, counter_df, save=False): # Calculate average profit avg_profit = mean_df.sum(axis=0) / counter_df.astype(float).sum(axis=0) result_str = "" for policy_name, avg_value in avg_profit.iteritems(): result_str += "Policy: {}\n".format(policy_name) result_str += "Total profit={}\n".format( avg_value * counter_df.astype(float).sum(axis=0).loc[policy_name]) result_str += "Average hourly profit={}\n".format(avg_value) result_str += "\n" print(result_str) self._generate_bar_plot(series=avg_profit, plot_type="avg", save=save) def _generate_bar_plot(self, series, plot_type="avg", save=False): max_result = np.max(np.max(series), 0) min_result = np.min(np.min(series), 0) results_range = np.max([max_result - min_result, 0.1]) ax = series.plot(kind='bar', figsize=(20, 7)) for p in ax.patches: shift = 0.04 * results_range if p.get_height() >= 0 else -0.1 * results_range ax.annotate("{}".format(np.round(p.get_height(), 2)), (p.get_x() + p.get_width() / 2.0, p.get_height() + shift), ha="center", va="bottom") if plot_type == "avg": y_label = "Average {} profit".format(self.state_type) file_name = "Chart_4_{}.png" elif plot_type == "total": y_label = "Total profit" file_name = "Chart_3_{}.png" else: raise ValueError("Incorrect value of the plot_type") ax.set_ylabel(y_label) ax.set_title("{}s".format(y_label)) if save: file_name = file_name.format(y_label.replace(" ", "_")) file_path = os.path.join(self.chart_directory, file_name) ensure_dir(file_path) plt.savefig(file_path, bbox_inches="tight") plt.show() plt.close() else: plt.show() if __name__ == "__main__": viz = RepResultExperimentPlotVisualizer(os.path.join("data", "output", "Historical_Calibration"), figsize=(15, 5), save=False) # viz.generate_series_profit_rep_result("gadw_campagne_chessy_fr_hotel_spa_const_log_log_curve_const_cvr_is_1_181655974_42054076756_20170101_20181231") viz.generate_comparison_series_auctions_rep_result("Hotel_IT_OM_Hotel_IT_const_log_log_curve_real_cvr_is_1_20170101_20181231") viz.generate_comparison_series_clicks_rep_result("Hotel_IT_OM_Hotel_IT_const_log_log_curve_real_cvr_is_1_20170101_20181231") viz.generate_comparison_series_conversion_rate_rep_result("Hotel_IT_OM_Hotel_IT_const_log_log_curve_real_cvr_is_1_20170101_20181231") # viz.generate_series_bid_rep_result("Hotel_IT_OM_Hotel_IT_const_log_log_curve_real_cvr_is_1_20170101_20181231")

46.251381

155

0.664905

4,073

33,486

5.114166

0.0685

0.096111

0.040615

0.044359

0.844695

0.816419

0.780653

0.752712

0.691647

0.66313

0

0.008007

0.250314

33,486

723

156

46.315353

0.821742

0.206056

0

0.526316

0

0.084545

0.022045

0

1

0.142105

false

0.002632

0.021053

0

0.184211

0.002632

0

null

0

1

0

1

0

null

0

5

eda88884e2c565b6324e72af1702e9a25d6b0643

138

py

Python

tests/test_r_freeze.py

chinmayshah99/r_freeze

48110e8f021b2adb9ec5b3bac152ca1b73bcc34e

[ "MIT" ]

1

2021-01-13T04:10:54.000Z

tests/test_r_freeze.py

chinmayshah99/r_freeze

48110e8f021b2adb9ec5b3bac152ca1b73bcc34e

[ "MIT" ]

5

2020-10-03T14:07:40.000Z

2021-02-13T13:30:08.000Z

tests/test_r_freeze.py

chinmayshah99/r_freeze

48110e8f021b2adb9ec5b3bac152ca1b73bcc34e

[ "MIT" ]

1

2020-10-03T17:26:35.000Z

#!/usr/bin/env python """Tests for `r_freeze` package.""" import pytest from r_freeze import r_freeze def test_ok(): print("ok")

11.5

35

0.673913

22

138

4.045455

0.727273

0.235955

0

0.173913

138

11

36

12.545455

0.780702

0.362319

0

0.02439

0

1

0.25

true

0

0.5

0

0.75

0.25

1

0

null

1

0

null

0

1

0

1

0

5

ede7876a23748b110f274356bdbe6738fd5c2868

24

py

Python

__init__.py

IJMTutorSES/ftrobopy

7e41aeba7ce41b291690af252b567928024495dd

[ "MIT" ]

24

2015-10-01T21:51:25.000Z

2022-02-17T12:45:35.000Z

__init__.py

IJMTutorSES/ftrobopy

7e41aeba7ce41b291690af252b567928024495dd

[ "MIT" ]

18

2016-03-01T13:38:34.000Z

2021-12-07T22:24:46.000Z

__init__.py

IJMTutorSES/ftrobopy

7e41aeba7ce41b291690af252b567928024495dd

[ "MIT" ]

16

2016-02-12T20:24:22.000Z

2021-12-03T13:09:47.000Z

from .ftrobopy import *

12

23

0.75

3

24

6

1

0

0.166667

24

1

24

0.9

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

61084d27653675bb9585b94fea26ac0c03bebc68

4,071

py

Python

oldAI.py

edu-fr/checkers-AI

88973d540eb96e091ea617a7355eb8994bab68c4

[ "CC0-1.0" ]

null

oldAI.py

edu-fr/checkers-AI

88973d540eb96e091ea617a7355eb8994bab68c4

[ "CC0-1.0" ]

null

oldAI.py

edu-fr/checkers-AI

88973d540eb96e091ea617a7355eb8994bab68c4

[ "CC0-1.0" ]

null

import math from copy import deepcopy import pygame from checkers.board import Board from checkers.constants import ROWS, COLS, RED, WHITE from checkers.piece import Piece class Movement: def __init__(self, move, piece, skip): self.move = move self.piece = piece self.skip = skip def minimax(board, depth, maximizing, color, no_move_available): if depth == 0 or board.winner() is not None: value = board.get_white_left() - board.get_red_left() return value, None movement = Movement(None, None, None) if maximizing: # CPU max_value = - math.inf for row in range(ROWS): for col in range(COLS): current_piece = board.get_piece(row, col) if current_piece == 0 or current_piece.get_color() != color: continue valid_moves = board.get_valid_moves(current_piece) if valid_moves is not None: no_move_available = False for valid_move, skip in valid_moves.items(): new_board = deepcopy(board) new_Board = Board() new_Board.board = new_board new_Board.red_kings = board.red_kings new_Board.red_left = board.red_left new_Board.white_kings = board.white_kings new_Board.white_left = board.white_left new_Board.board.move(new_Board.board.get_piece(row, col), valid_move[0], valid_move[1]) if skip: new_Board.board.remove(skip) current_value = minimax(new_Board.board, depth - 1, False, WHITE if (color == RED) else RED, no_move_available) max_value = max(max_value, current_value[0]) if max_value == current_value[0]: movement.move = valid_move movement.piece = board.get_piece(row, col) movement.skip = skip if no_move_available: print("DRAW") return max_value, movement else: # CPU 2 min_value = math.inf min_move = None min_piece = None for row in range(ROWS): for col in range(COLS): current_piece = board.get_piece(row, col) if current_piece == 0 or current_piece.get_color() != color: continue valid_moves = board.get_valid_moves(current_piece) if valid_moves is not None: no_move_available = False for valid_move, skip in valid_moves.items(): new_board = deepcopy(board) new_Board = Board() new_Board.board = new_board new_Board.red_kings = board.red_kings new_Board.red_left = board.red_left new_Board.white_kings = board.white_kings new_Board.white_left = board.white_left new_Board.board.move(new_Board.board.get_piece(row, col), valid_move[0], valid_move[1]) if skip: new_Board.board.remove(skip) current_value = minimax(new_Board.board, depth - 1, True, WHITE if (color == RED) else RED, no_move_available) min_value = min(min_value, current_value[0]) if min_value == current_value[0]: movement.move = valid_move movement.piece = board.get_piece(row, col) movement.skip = skip if no_move_available: print("DRAW") return min_value, movement

44.25

116

0.507246

446

4,071

4.374439

0.139013

0.098411

0.079959

0.049206

0.735008

0.708355

0.670425

0

0.005978

0.424711

4,071

91

117

44.736264

0.827071

0.002211

0

0.634146

0

0.001971

0

1

0.02439

false

0

0.073171

0

0.146341

0.02439

0

null

0

1

0

null

0

5

b67d3322f81d35a59eed389a6b1f5c72bcb13fb4

141

py

Python

ch04/ex6.py

gama79530/Coursera_Python_for_Everybody_2019

16a03db48accc4593dda085352f166874b39c874

[ "MIT" ]

null

ch04/ex6.py

gama79530/Coursera_Python_for_Everybody_2019

16a03db48accc4593dda085352f166874b39c874

[ "MIT" ]

null

ch04/ex6.py

gama79530/Coursera_Python_for_Everybody_2019

16a03db48accc4593dda085352f166874b39c874

[ "MIT" ]

null

def pay(hours,rate) : return hours * rate hours = float(input('Enter Hours:')) rate = float(input('Enter Rate:')) print(pay(hours,rate))

23.5

36

0.673759

21

141

4.52381

0.428571

0.378947

0.252632

0

0.141844

141

6

37

23.5

0.785124

0

0.161972

0

1

0.2

false

0

0.2

0.4

0.2

1

0

null

1

0

1

0

null

0

1

0

5

b6ae820e5b1ffd493dcca1c116b9036e87e194b9

100

py

Python

dnc/globals.py

Jeffrey-Ede/adaptive-scans

a4f8f0275d5f894c34f7ae9bbd64222f635fb73e

[ "MIT" ]

4

2020-12-04T22:20:46.000Z

2022-02-25T17:13:41.000Z

99/dnc/globals.py

Jeffrey-Ede/intelligent-partial-STEM

dc13e64ba3fb8266d39a260780af615b170a3c88

[ "MIT" ]

null

99/dnc/globals.py

Jeffrey-Ede/intelligent-partial-STEM

dc13e64ba3fb8266d39a260780af615b170a3c88

[ "MIT" ]

null

import numpy as np global full_scans global_full_scans = np.ones((32,96,96,1), dtype=np.float32)

25

59

0.75

19

100

3.789474

0.684211

0.277778

0.416667

0

0.103448

0.13

100

4

59

25

0.724138

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

fcd119cabc16edc11713dbac6008e48ebed101a0

232

py

Python

web/routes/web.py

testdrivenio/masonite-on-docker

fb23e30f3dbaa9a873604c3b0da4df98884518ad

[ "MIT" ]

4

2021-03-25T14:56:07.000Z

2021-10-31T12:28:54.000Z

web/routes/web.py

testdrivenio/masonite-on-docker

fb23e30f3dbaa9a873604c3b0da4df98884518ad

[ "MIT" ]

3

2019-12-06T04:02:04.000Z

2021-05-13T09:38:44.000Z

web/routes/web.py

testdrivenio/masonite-on-docker

fb23e30f3dbaa9a873604c3b0da4df98884518ad

[ "MIT" ]

3

2020-11-14T16:55:09.000Z

2021-03-26T18:59:06.000Z

"""Web Routes.""" from masonite.routes import Get, Post ROUTES = [ Get("/", "WelcomeController@show").name("welcome"), Get("/sample", "WelcomeController@show").name("welcome"), Post("/", "WelcomeController@upload"), ]

23.2

61

0.642241

23

232

6.478261

0.565217

0.281879

0.33557

0.42953

0

0.133621

232

9

62

25.777778

0.741294

0.047414

0

0.423256

0.316279

0

1

0

false

0

0.166667

0

0.166667

0

1

0

null

1

0

1

0

null

0

5

fcde9dc7737ee3be9565ede9d56f9ea3ad37bcf9

42

py

Python

python/testData/keywordCompletion/noNonLiteralExpressionKeywordsAfterPattern.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

python/testData/keywordCompletion/noNonLiteralExpressionKeywordsAfterPattern.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

python/testData/keywordCompletion/noNonLiteralExpressionKeywordsAfterPattern.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

match x: case [] <caret>: pass

14

20

0.452381

5

42

3.8

1

0

0.404762

42

3

21

14

0.76

0

null

0.333333

0

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1e2a6103ead2c730b423e00496685bd1f2c207b7

111

py

Python

src/applications/api/models/__init__.py

luisito666/M2-API-REST

238837c2cbd0e9aadcce29def0dd9935b888047b

[ "MIT" ]

null

src/applications/api/models/__init__.py

luisito666/M2-API-REST

238837c2cbd0e9aadcce29def0dd9935b888047b

[ "MIT" ]

3

2021-04-08T19:14:52.000Z

2022-03-12T01:05:15.000Z

src/applications/api/models/__init__.py

luisito666/M2-API-REST

238837c2cbd0e9aadcce29def0dd9935b888047b

[ "MIT" ]

1

2020-12-25T20:34:09.000Z

from .download import Download from .pages import Pages from .token import Token from .site import Site, Image

22.2

30

0.801802

17

111

5.235294

0.411765

0

0.153153

111

4

31

27.75

0.946809

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1e31dbfdde55b50d1f1bd1689879648007126dc1

119

py

Python

bempy/django/blocks/attach/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

1

2015-04-29T15:19:45.000Z

bempy/django/blocks/attach/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

null

bempy/django/blocks/attach/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

1

2019-06-10T16:08:54.000Z

from bempy import block @block() def attach(): return dict(button='The Button', text='The Text')

14.875

36

0.588235

15

119

4.666667

0.733333

0

0.285714

119

7

37

17

0.823529

0

0.152542

0

1

0.2

true

0

0.2

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1ec565030ac49621a9c7db306b7a06e569e8ab57

43

py

Python

tests/__init__.py

davidmayes5/balloons-for-blinds

ae02f79cab8aa7079e12b6c9a36162b93fa04883

[ "BSD-3-Clause" ]

null

tests/__init__.py

davidmayes5/balloons-for-blinds

ae02f79cab8aa7079e12b6c9a36162b93fa04883

[ "BSD-3-Clause" ]

null

tests/__init__.py

davidmayes5/balloons-for-blinds

ae02f79cab8aa7079e12b6c9a36162b93fa04883

[ "BSD-3-Clause" ]

null

# python -m unittest tests.titlescreentests

43

0.837209

5

43

7.2

1

0

0.093023

43

1

43

0.923077

0.953488

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

1ee1c9735ef2617983659d05052b9fb9288161d7

143

py

Python

image_registration/matching/keypoint/__init__.py

hakaboom/image_registration

7ec286c5e81670d7599f925c5279e162804278c6

[ "Apache-2.0" ]

null

image_registration/matching/keypoint/__init__.py

hakaboom/image_registration

7ec286c5e81670d7599f925c5279e162804278c6

[ "Apache-2.0" ]

null

image_registration/matching/keypoint/__init__.py

hakaboom/image_registration

7ec286c5e81670d7599f925c5279e162804278c6

[ "Apache-2.0" ]

null

#! usr/bin/python # -*- coding:utf-8 -*- from .akaze import AKAZE from .sift import SIFT from .orb import ORB, CUDA_ORB from .surf import SURF

20.428571

30

0.713287

24

143

4.208333

0.541667

0

0.008333

0.160839

143

6

31

23.833333

0.833333

0.258741

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9496a24ca6df90b4c2fb6dfe720ae23bb7dc76de

65

py

Python

dlm/models/models3D/__init__.py

romainloiseau/deep-linear-shapes

faed8e14a8f66ab1c780972f616543552295cb1e

[ "MIT" ]

20

2021-08-31T15:10:48.000Z

2021-12-01T19:25:13.000Z

dlm/models/models3D/__init__.py

romainloiseau/deep-linear-shapes

faed8e14a8f66ab1c780972f616543552295cb1e

[ "MIT" ]

null

dlm/models/models3D/__init__.py

romainloiseau/deep-linear-shapes

faed8e14a8f66ab1c780972f616543552295cb1e

[ "MIT" ]

null

from .pointnet import PointNetfeat, PointNetCls, PointNetDenseCls

65

0.876923

6

65

9.5

1

0

0.076923

65

1

65

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9499d7ab22e7c763b9548cb323966aa988e3af52

74

py

Python

algomorphism/datasets/__init__.py

efth-mcl/algomorphism

5b69d19701e450020a539196215575706e7ff675

[ "MIT" ]

null

algomorphism/datasets/__init__.py

efth-mcl/algomorphism

5b69d19701e450020a539196215575706e7ff675

[ "MIT" ]

null

algomorphism/datasets/__init__.py

efth-mcl/algomorphism

5b69d19701e450020a539196215575706e7ff675

[ "MIT" ]

null

from .graph_base import GraphBaseDataset from .base import SeenUnseenBase

24.666667

40

0.864865

9

74

7

0.666667

0.31746

0

0.108108

74

2

41

37

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

94d1019ab3a782460c0dacd4d74cef5f482140eb

84

py

Python

explorer/models/worker_task.py

cryptassic/dex-explorer

1588011db1666b8f1ffb6499d909e4eff3f6b09b

[ "MIT" ]

null

explorer/models/worker_task.py

cryptassic/dex-explorer

1588011db1666b8f1ffb6499d909e4eff3f6b09b

[ "MIT" ]

null

explorer/models/worker_task.py

cryptassic/dex-explorer

1588011db1666b8f1ffb6499d909e4eff3f6b09b

[ "MIT" ]

null

from typing import NamedTuple class WorkerTask(NamedTuple): block_number: int

14

29

0.785714

10

84

6.5

0.9

0

0.166667

84

5

30

16.8

0.928571

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

94f653367f51b787aa7e4082641cc9ac3b00b585

64

py

Python

src/static/code_stubs/python/babylonian_square_roots.py

basimr/lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

28

2019-01-06T11:39:13.000Z

2022-02-28T03:35:55.000Z

src/static/code_stubs/python/babylonian_square_roots.py

basimr/project-lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

88

2017-04-01T15:18:36.000Z

2021-09-22T19:41:11.000Z

src/static/code_stubs/python/babylonian_square_roots.py

basimr/project-lovelace

3456e0dc2e155eda7f8e34e1cf7ad816af5c5feb

[ "MIT" ]

4

2019-08-11T14:51:16.000Z

2021-04-30T16:37:52.000Z

def babylonian_sqrt(S): # Your code goes here! return 0

16

26

0.65625

10

64

4.1

1

0

0.021277

0.265625

64

3

27

21.333333

0.851064

0.3125

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5