xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

a0934637dab174d27eb3c40f6d8c121af0ad2618

23

py

Python

test69.py

codesAliecc/hacktoberfest2021

2f3e5e318ab5834131c6aab75185a1b67e748b79

[ "Unlicense" ]

null

test69.py

codesAliecc/hacktoberfest2021

2f3e5e318ab5834131c6aab75185a1b67e748b79

[ "Unlicense" ]

null

test69.py

codesAliecc/hacktoberfest2021

2f3e5e318ab5834131c6aab75185a1b67e748b79

[ "Unlicense" ]

null

print("Hello Peoples")

11.5

22

0.73913

3

23

5.666667

1

0

0.086957

23

1

23

0.809524

0

0.565217

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a097f27f84e21f6198501e954ed16a6a84266bae

293

py

Python

swf/querysets/__init__.py

nstott/simpleflow

483602deb745a09b59ad6e24052dd5096c54fad2

[ "MIT" ]

null

swf/querysets/__init__.py

nstott/simpleflow

483602deb745a09b59ad6e24052dd5096c54fad2

[ "MIT" ]

null

swf/querysets/__init__.py

nstott/simpleflow

483602deb745a09b59ad6e24052dd5096c54fad2

[ "MIT" ]

null

# -*- coding:utf-8 -*- from swf.querysets.activity import ActivityTypeQuerySet # NOQA from swf.querysets.domain import DomainQuerySet # NOQA from swf.querysets.history import HistoryQuerySet # NOQA from swf.querysets.workflow import WorkflowTypeQuerySet, WorkflowExecutionQuerySet # NOQA

41.857143

90

0.808874

32

293

7.40625

0.53125

0.118143

0.270042

0.253165

0

0.003861

0.116041

293

6

91

48.833333

0.911197

0.136519

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a0a45de3fcfbc0c687308e384e02ea59e4c9f7cc

216

py

Python

services/others/lamdsh/config.py

X5GON/lamapi

0558c3b7af520ab83bdbd29e1b1b9b87bdc147b0

[ "BSD-2-Clause" ]

null

services/others/lamdsh/config.py

X5GON/lamapi

0558c3b7af520ab83bdbd29e1b1b9b87bdc147b0

[ "BSD-2-Clause" ]

null

services/others/lamdsh/config.py

X5GON/lamapi

0558c3b7af520ab83bdbd29e1b1b9b87bdc147b0

[ "BSD-2-Clause" ]

null

from .gettrans.service import ns_lamdsh as ns_gettrans from .search.service import ns_lamdsh as ns_search from .knnlamdsh.service import ns_lamdsh as ns_knnlamdsh namespaces = [ns_gettrans, ns_search, ns_knnlamdsh]

36

56

0.837963

34

216

5.058824

0.294118

0.226744

0.261628

0.366279

0.436047

0

0.111111

216

5

57

43.2

0.895833

0

1

0

false

0

0.75

0

0.75

0

null

1

0

1

0

null

0

1

0

5

2641e7c6c4288fd51f8ec2854e1dc5ced9eaf1e9

30

py

Python

lib/ppweb/__main__.py

jrmsgit/pseudoParser

ee6a4bb5cbd2dfc51f14b73c4191618746cfb4a7

[ "BSD-3-Clause" ]

1

2015-08-31T01:02:22.000Z

lib/ppweb/__main__.py

jrmsgit/pseudoParser

ee6a4bb5cbd2dfc51f14b73c4191618746cfb4a7

[ "BSD-3-Clause" ]

1

2015-09-29T13:30:46.000Z

2015-09-30T18:44:11.000Z

lib/ppweb/__main__.py

jrmsgit/pseudoParser

ee6a4bb5cbd2dfc51f14b73c4191618746cfb4a7

[ "BSD-3-Clause" ]

null

from . import wapp wapp.Run()

10

18

0.7

5

30

4.2

0.8

0

0.166667

30

2

19

15

0.84

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

cd02f1246ded97b4622df90591bd72e5d11339b7

310

py

Python

blog/app/controller/admin/admin.py

henrY2Young/flask-jwt

f1c47efee7fd7f271c02172371c2d9cec8adde5d

[ "MIT" ]

null

blog/app/controller/admin/admin.py

henrY2Young/flask-jwt

f1c47efee7fd7f271c02172371c2d9cec8adde5d

[ "MIT" ]

null

blog/app/controller/admin/admin.py

henrY2Young/flask-jwt

f1c47efee7fd7f271c02172371c2d9cec8adde5d

[ "MIT" ]

null

from flask import request, jsonify, Flask, render_template from app.controller.admin import admin from app.controller.home import home @admin.route('/index') def hello(): return render_template('admin/menu.html') @admin.route('/login11') def login(): return render_template('admin/user/login.html')

31

58

0.754839

43

310

5.372093

0.488372

0.181818

0.147186

0.21645

0

0.007299

0.116129

310

10

59

31

0.835766

0

0.160772

0.067524

0

1

0.222222

true

0

0.333333

0.222222

0.777778

0

null

0

1

0

null

0

1

0

1

0

5

cd179725a518eacf0d13e05fa92d640585ff3624

100

py

Python

backend/editor/admin.py

vframeio/vcat

554e94a819818131ddf5ec3db9f0ca4d2795313e

[ "MIT" ]

5

2018-11-26T07:43:39.000Z

2020-03-09T08:01:39.000Z

backend/editor/admin.py

vframeio/_vcat_archived

554e94a819818131ddf5ec3db9f0ca4d2795313e

[ "MIT" ]

null

backend/editor/admin.py

vframeio/_vcat_archived

554e94a819818131ddf5ec3db9f0ca4d2795313e

[ "MIT" ]

1

2020-04-30T11:16:04.000Z

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

16.666667

32

0.83

13

100

6.384615

0.692308

0

0.11

100

5

33

20

0.932584

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

cd661e10d93c26dc1c81519467ec3b8a49a23dc6

5,062

py

Python

tests/test_coding/test_monitor.py

piotrmaslanka/satella

bf4ba7a21ad2ac93a366442a2b4574dc5568b87e

[ "MIT" ]

12

2019-12-13T10:17:38.000Z

2022-01-05T09:01:36.000Z

tests/test_coding/test_monitor.py

piotrmaslanka/satella

bf4ba7a21ad2ac93a366442a2b4574dc5568b87e

[ "MIT" ]

26

2016-04-01T11:55:26.000Z

2021-12-30T17:03:59.000Z

tests/test_coding/test_monitor.py

piotrmaslanka/satella

bf4ba7a21ad2ac93a366442a2b4574dc5568b87e

[ "MIT" ]

1

2021-05-31T08:45:22.000Z

import unittest from queue import Queue from threading import Thread from time import sleep from satella.coding import Monitor class MonitorTest(unittest.TestCase): def test_synchronize_on(self): class TestedMasterClass(Monitor): def __init__(self): self.value = 0 super().__init__() def get_locking_class(self): class LockingClass: @Monitor.synchronize_on(self) def get_value(self2): self.value += 1 return LockingClass() msc = TestedMasterClass() lc = msc.get_locking_class() class TesterThread(Thread): def run(self): lc.get_value() with Monitor.acquire(msc): TesterThread().start() sleep(0.1) self.assertEqual(msc.value, 0) with Monitor.release(msc): sleep(0.1) self.assertEqual(msc.value, 1) def test_release_contextmanager(self): class TestedClass(Monitor): def __init__(self, cqueue): self.cqueue = cqueue Monitor.__init__(self) @Monitor.synchronized def execute(self): self.cqueue.put(1) sleep(1) self.cqueue.get() class TesterThread(Thread): def __init__(self, tc): self.tc = tc Thread.__init__(self) def run(self): self.tc.execute() cq = Queue() cq.put(1) tc = TestedClass(cq) tt = TesterThread(tc) with Monitor.acquire(tc): with Monitor.release(tc): tt.start() sleep(0.4) self.assertEqual(cq.qsize(), 2) def test_release_contextmanager_syntax(self): class TestedClass(Monitor): def __init__(self, cqueue): self.cqueue = cqueue Monitor.__init__(self) @Monitor.synchronized def execute(self): self.cqueue.put(1) sleep(1) self.cqueue.get() class TesterThread(Thread): def __init__(self, tc): self.tc = tc Thread.__init__(self) def run(self): self.tc.execute() cq = Queue() cq.put(1) tc = TestedClass(cq) tt = TesterThread(tc) with tc: with Monitor.release(tc): tt.start() sleep(0.4) self.assertEqual(cq.qsize(), 2) def test_acquire_contextmanager(self): class TestedClass(Monitor): def __init__(self, cqueue): self.cqueue = cqueue Monitor.__init__(self) @Monitor.synchronized def execute(self): self.cqueue.put(1) sleep(1) self.cqueue.get() class TesterThread(Thread): def __init__(self, tc): self.tc = tc Thread.__init__(self) def run(self): self.tc.execute() cq = Queue() cq.put(1) tc = TestedClass(cq) tt = TesterThread(tc) with Monitor.acquire(tc): tt.start() sleep(0.4) self.assertEqual(cq.qsize(), 1) def test_monitoring(self): class TestedClass(Monitor): def __init__(self, cqueue): self.cqueue = cqueue Monitor.__init__(self) @Monitor.synchronized def execute(self): self.cqueue.put(1) sleep(1) self.cqueue.get() class TesterThread(Thread): def __init__(self, tc): self.tc = tc Thread.__init__(self) def run(self): self.tc.execute() q = Queue() tc = TestedClass(q) a, b = TesterThread(tc), TesterThread(tc) a.start(), b.start() while a.is_alive() or b.is_alive(): sleep(0.1) self.assertNotEqual(q.qsize(), 2) def test_monitoring_synchronize_on_attribute(self): class TestedClass: def __init__(self, cqueue): self.cqueue = cqueue self.monitor = Monitor() @Monitor.synchronize_on_attribute('monitor') def execute(self): self.cqueue.put(1) sleep(1) self.cqueue.get() class TesterThread(Thread): def __init__(self, tc): self.tc = tc Thread.__init__(self) def run(self): self.tc.execute() q = Queue() tc = TestedClass(q) a, b = TesterThread(tc), TesterThread(tc) a.start(), b.start() while a.is_alive() or b.is_alive(): sleep(0.1) self.assertNotEqual(q.qsize(), 2)

26.925532

56

0.489332

503

5,062

4.703777

0.12326

0.067625

0.051141

0.065934

0.724007

0.6847

0

0.012445

0.412683

5,062

187

57

27.069519

0.783384

0

0.765101

0

0.001383

0

0.04698

1

0.201342

false

0

0.033557

0

0.33557

0

null

0

1

0

1

0

1

0

null

0

1

0

5

cd7e358b6e1d9c6bbabc1c2030fce768747a169f

222

py

Python

gherkin_to_markdown/expressions/code_block_expression.py

LeandreArseneault/gherkin_to_markdown

157a6a7ba5b7f1f3a159bc163bf1b1187401243a

[ "MIT" ]

6

2022-02-14T22:10:50.000Z

2022-03-10T20:42:29.000Z

gherkin_to_markdown/expressions/code_block_expression.py

LeandreArseneault/gherkin_to_markdown

157a6a7ba5b7f1f3a159bc163bf1b1187401243a

[ "MIT" ]

null

gherkin_to_markdown/expressions/code_block_expression.py

LeandreArseneault/gherkin_to_markdown

157a6a7ba5b7f1f3a159bc163bf1b1187401243a

[ "MIT" ]

null

from gherkin_to_markdown.expressions.expression import Expression class CodeBlockExpression(Expression): def to_markdown(self, statement: str): return f"{statement.strip().replace(self.keyword, '```', 1)}\n"

31.714286

71

0.743243

26

222

6.230769

0.769231

0.123457

0

0.005155

0.126126

222

6

72

37

0.829897

0

0.238739

0.18018

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

cd7f23c8902556a6b6ffed8a1b8df11e5b876f03

51

py

Python

conduit/fair/data/__init__.py

DavidHurst/palbolts

72f9ca3f82499b532f14d0e797426e1b425d3efe

[ "MIT" ]

2

2021-07-15T20:36:25.000Z

2021-08-04T15:53:50.000Z

conduit/fair/data/__init__.py

DavidHurst/palbolts

72f9ca3f82499b532f14d0e797426e1b425d3efe

[ "MIT" ]

18

2021-09-07T13:50:10.000Z

2021-12-06T19:02:23.000Z

conduit/fair/data/__init__.py

predictive-analytics-lab/pal-bolts

5f1932f351f2e551276b47dfeda7888772d99895

[ "MIT" ]

1

2021-09-07T14:55:16.000Z

from .datamodules import * from .datasets import *

17

26

0.764706

6

51

6.5

0.666667

0

0.156863

51

2

27

25.5

0.906977

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cd9181ee2779e1eb2c361eadd4959343c2d633b1

61

py

Python

or_suite/envs/finite_armed_bandit/__init__.py

JasmineSamadi/ORSuite

e2b2b0a5b497ea6566e794dcef1f176081fca4ce

[ "MIT" ]

4

2021-12-01T10:56:17.000Z

2022-02-06T17:07:43.000Z

or_suite/envs/finite_armed_bandit/__init__.py

JasmineSamadi/ORSuite

e2b2b0a5b497ea6566e794dcef1f176081fca4ce

[ "MIT" ]

2

2021-08-11T13:25:01.000Z

2022-03-20T19:23:23.000Z

or_suite/envs/finite_armed_bandit/__init__.py

JasmineSamadi/ORSuite

e2b2b0a5b497ea6566e794dcef1f176081fca4ce

[ "MIT" ]

3

2021-04-02T20:24:25.000Z

2021-04-10T23:53:28.000Z

from or_suite.envs.finite_armed_bandit.finite_bandit import *

61

0.885246

10

61

5

0.8

0

0.04918

61

1

61

0.862069

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

26972abfa3cb32cded5a95213f8f63c6e4533059

139

py

Python

9 File Processing/3_opening_file_with.py

narayanants/python-mega-course

2ba2980ab21dfbed5f86f00695559f7831b5c566

[ "MIT" ]

null

9 File Processing/3_opening_file_with.py

narayanants/python-mega-course

2ba2980ab21dfbed5f86f00695559f7831b5c566

[ "MIT" ]

null

9 File Processing/3_opening_file_with.py

narayanants/python-mega-course

2ba2980ab21dfbed5f86f00695559f7831b5c566

[ "MIT" ]

null

myfile = open('fruits.txt','r') print(myfile.read()) myfile.close() with open('fruits.txt','r') as myfile: z = myfile.read() print(z)

17.375

38

0.640288

22

139

4.045455

0.5

0.224719

0.292135

0.314607

0

0.129496

139

8

39

17.375

0.735537

0

0.157143

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

5

26ba27981a1979c0d925a44a7d06de908b0ed448

62

py

Python

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_vendor/idna/__init__.py

brianherrera/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

[ "AML" ]

1,738

2017-09-21T10:59:12.000Z

2022-03-31T21:05:46.000Z

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_vendor/idna/__init__.py

ArchitectureStudios/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

[ "AML" ]

427

2017-09-29T22:54:36.000Z

2022-02-15T19:26:50.000Z

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_vendor/idna/__init__.py

ArchitectureStudios/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

[ "AML" ]

671

2017-09-21T08:04:01.000Z

2022-03-29T14:30:07.000Z

from .package_data import __version__ from .core import *

20.666667

39

0.758065

8

62

5.25

0.75

0

0.193548

62

2

40

31

0.84

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

26cf06af9be344ff181f6c64a6205781fe433496

94

py

Python

MomentumProject/testFunc.py

hpgit/HumanFoot

f9a1a341b7c43747bddcd5584b8c98a0d1ac2973

[ "Apache-2.0" ]

null

MomentumProject/testFunc.py

hpgit/HumanFoot

f9a1a341b7c43747bddcd5584b8c98a0d1ac2973

[ "Apache-2.0" ]

null

MomentumProject/testFunc.py

hpgit/HumanFoot

f9a1a341b7c43747bddcd5584b8c98a0d1ac2973

[ "Apache-2.0" ]

null

def printFunc(dIn): print dIn #print "hehe" #print "kkkk" pass def renderFunc(rIn): pass

11.75

20

0.691489

14

94

4.642857

0.642857

0.246154

0

0.180851

94

8

21

11.75

0.844156

0.255319

0

0.4

0

null

0.4

0

null

0.4

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f8191e6230f52e27825bfabdec92050513251496

47

py

Python

test04.py

kmr0877/python2perl_Converter

7a1638418922b73b02428693eb44c7c39e2f3dbc

[ "MIT" ]

null

test04.py

kmr0877/python2perl_Converter

7a1638418922b73b02428693eb44c7c39e2f3dbc

[ "MIT" ]

null

test04.py

kmr0877/python2perl_Converter

7a1638418922b73b02428693eb44c7c39e2f3dbc

[ "MIT" ]

null

#!/usr/bin/python3 # put your test script here

15.666667

27

0.723404

8

47

4.25

1

0

0.025

0.148936

47

2

28

23.5

0.825

0.914894

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

f83d55d346eb7c5b6f78cb00c5c36f4c2baeedc7

162

py

Python

polpos/admin.py

InformaticsResearchCenter/kabayan

98139958d6b42098c233f7a6e74bef8a0edde60d

[ "MIT" ]

null

polpos/admin.py

InformaticsResearchCenter/kabayan

98139958d6b42098c233f7a6e74bef8a0edde60d

[ "MIT" ]

null

polpos/admin.py

InformaticsResearchCenter/kabayan

98139958d6b42098c233f7a6e74bef8a0edde60d

[ "MIT" ]

null

from django.contrib import admin from .models import PenjadwalanProdi, PenjadwalanBAAK admin.site.register(PenjadwalanProdi) admin.site.register(PenjadwalanBAAK)

32.4

53

0.864198

18

162

7.777778

0.555556

0.128571

0.242857

0

0.067901

162

5

54

32.4

0.927152

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

3e6860235426177f6d2a4c8686da6b327b823274

216

py

Python

plugins/flytekit-k8s-pod/flytekitplugins/pod/__init__.py

bstadlbauer/flytekit

12ef34d7b6d777088ab87f9cf0d5c32355895852

[ "Apache-2.0" ]

null

plugins/flytekit-k8s-pod/flytekitplugins/pod/__init__.py

bstadlbauer/flytekit

12ef34d7b6d777088ab87f9cf0d5c32355895852

[ "Apache-2.0" ]

null

plugins/flytekit-k8s-pod/flytekitplugins/pod/__init__.py

bstadlbauer/flytekit

12ef34d7b6d777088ab87f9cf0d5c32355895852

[ "Apache-2.0" ]

null

""" .. currentmodule:: flytekitplugins.pod This package contains things that are useful when extending Flytekit. .. autosummary:: :template: custom.rst :toctree: generated/ Pod """ from .task import Pod

15.428571

69

0.712963

24

216

6.416667

0.916667

0

0.180556

216

13

70

16.615385

0.870057

0.851852

0

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e40f0071208c0abd014ba740dda401ca996262c2

86

py

Python

aaisp/admin.py

0xdc/django-aaisp-bandwidth

e7a50ec71438768c45eb01f51db8ad1e41426d71

[ "MIT" ]

null

aaisp/admin.py

0xdc/django-aaisp-bandwidth

e7a50ec71438768c45eb01f51db8ad1e41426d71

[ "MIT" ]

1

2017-09-13T16:48:54.000Z

aaisp/admin.py

0xdc/django-aaisp-bandwidth

e7a50ec71438768c45eb01f51db8ad1e41426d71

[ "MIT" ]

null

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

14.333333

32

0.802326

13

86

5.307692

0.692308

0

0.127907

86

5

33

17.2

0.92

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

e4145d5201f4887bb8db2b86dfb49088c4bd7b7d

152

py

Python

Replace_With_Alphabet_Position/code.py

brunopasseti/CodeWarsKatas

156e06111383b613e5bf3d522a04bc3203799e1b

[ "MIT" ]

null

Replace_With_Alphabet_Position/code.py

brunopasseti/CodeWarsKatas

156e06111383b613e5bf3d522a04bc3203799e1b

[ "MIT" ]

null

Replace_With_Alphabet_Position/code.py

brunopasseti/CodeWarsKatas

156e06111383b613e5bf3d522a04bc3203799e1b

[ "MIT" ]

null

def alphabet_position(text): return " ".join([str(ord(l)-ord('a')+1) for w in text.lower() for l in w if l.isalpha() == True])

38

78

0.539474

25

152

3.24

0.72

0

0.009091

0.276316

152

3

79

50.666667

0.727273

0

0.013158

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e452897742daed12c741f071b63b1d511d5c964f

104

py

Python

src/cameras/__init__.py

KingAbbott/devsyn

ef26855c5b96e489d390a32005cc75e603d32ce2

[ "MIT" ]

1

2016-05-08T23:39:51.000Z

src/cameras/__init__.py

KingAbbott/devsyn

ef26855c5b96e489d390a32005cc75e603d32ce2

[ "MIT" ]

null

src/cameras/__init__.py

KingAbbott/devsyn

ef26855c5b96e489d390a32005cc75e603d32ce2

[ "MIT" ]

null

from freelook import FreeLookCamera from firstperson import FirstPersonCamera from god import GodCamera

26

41

0.884615

12

104

7.666667

0.666667

0

0.115385

104

3

42

34.666667

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e47484b7a72286f1bde6b61005e0f2d6de78dd7a

175

py

Python

semantic-clustering/semantic_clustering/transformers/__init__.py

zzoia/sbert_wk_sentence_embedder

096b149eefec25fac83aaef674421dfdfb150a68

[ "MIT" ]

null

semantic-clustering/semantic_clustering/transformers/__init__.py

zzoia/sbert_wk_sentence_embedder

096b149eefec25fac83aaef674421dfdfb150a68

[ "MIT" ]

null

semantic-clustering/semantic_clustering/transformers/__init__.py

zzoia/sbert_wk_sentence_embedder

096b149eefec25fac83aaef674421dfdfb150a68

[ "MIT" ]

null

from .BertModelNeuron import BertModelNeuron from .ModelAndTokenizer import ModelAndTokenizer from .TokenizerWrapper import TokenizerWrapper from .utils import load_model_path

43.75

48

0.891429

18

175

8.555556

0.5

0

0.085714

175

4

49

43.75

0.9625

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e476d1989e233e574276177b9b89a0f7fb7de702

27

py

Python

geosnap/util/__init__.py

weikang9009/geosnap

276c99bf60657bcd2ee18cc207cf1f8344a44422

[ "BSD-3-Clause" ]

null

geosnap/util/__init__.py

weikang9009/geosnap

276c99bf60657bcd2ee18cc207cf1f8344a44422

[ "BSD-3-Clause" ]

null

geosnap/util/__init__.py

weikang9009/geosnap

276c99bf60657bcd2ee18cc207cf1f8344a44422

[ "BSD-3-Clause" ]

null

from .cenpy_fetch import *

13.5

26

0.777778

4

27

5

1

0

0.148148

27

1

27

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e487a616a5b6c04554553f8546dc0f2a537a9cea

171

py

Python

olx/products/admin.py

skarthik21/Campus-Olx

eefbb584f55ebcf9aebb2e09f2b201cd45001b0a

[ "MIT" ]

null

olx/products/admin.py

skarthik21/Campus-Olx

eefbb584f55ebcf9aebb2e09f2b201cd45001b0a

[ "MIT" ]

null

olx/products/admin.py

skarthik21/Campus-Olx

eefbb584f55ebcf9aebb2e09f2b201cd45001b0a

[ "MIT" ]

null

from products.models import Image, Owner, Product from django.contrib import admin admin.site.register(Owner) admin.site.register(Product) admin.site.register(Image)

28.5

50

0.80117

24

171

5.708333

0.5

0.19708

0.372263

0

0.105263

171

6

51

28.5

0.895425

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e4a7c8138da3366a01e12415d23f08e6de071559

43

py

Python

lib/jnpr/junos/version.py

pamelia/py-junos-eznc

d97937179b161d6528cfb5930dee4276ebd71ecd

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

null

lib/jnpr/junos/version.py

pamelia/py-junos-eznc

d97937179b161d6528cfb5930dee4276ebd71ecd

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

null

lib/jnpr/junos/version.py

pamelia/py-junos-eznc

d97937179b161d6528cfb5930dee4276ebd71ecd

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

null

VERSION = "1.2.4.dev" DATE = "2015-Oct-07"

14.333333

21

0.604651

9

43

2.888889

1

0

0.243243

0.139535

43

2

22

21.5

0.459459

0

0.465116

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

e4aa759b59a3de299a537428bb52eb43737c110b

96

py

Python

venv/lib/python3.8/site-packages/rope/base/taskhandle.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/rope/base/taskhandle.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/rope/base/taskhandle.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/eb/cf/cf/bc25ff9aaac98d6abb8139c0525853b3b282e9c0543bc59c4f7c35c83c

96

0.895833

9

96

9.555556

0.888889

0

0.354167

0

96

1

96

0.541667

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

e4b6272529743bf3f343ede4fdd95aa13d2cbb6c

320

py

Python

home_developer/home_developer/doctype/skjb/skjb_dashboard.py

erpsonic/HomeDeveloper

39da29bb5aec02860264aba7b24e7214f88e0f1b

[ "MIT" ]

null

home_developer/home_developer/doctype/skjb/skjb_dashboard.py

erpsonic/HomeDeveloper

39da29bb5aec02860264aba7b24e7214f88e0f1b

[ "MIT" ]

null

home_developer/home_developer/doctype/skjb/skjb_dashboard.py

erpsonic/HomeDeveloper

39da29bb5aec02860264aba7b24e7214f88e0f1b

[ "MIT" ]

null

from frappe import _ def get_data(): return { 'fieldname': 'skjb_utj_booking', #'non_standard_fieldnames': { # #}, #'internal_links': { # 'Sales Invoice': ['items', 'sales_invoice'], #}, 'transactions': [ { 'label': _('Invoice'), 'items': ['Sales Invoice'] }, ] }

16.842105

49

0.525

27

320

5.888889

0.777778

0.226415

0.213836

0.301887

0

0.278125

320

19

50

16.842105

0.688312

0.3

0

0.333333

0

1

0.090909

true

0

0.090909

0.272727

0

1

0

null

1

0

null

0

1

0

5

e4ef519bc439e96560a59cc5d9a2ed82686c0cfa

157

py

Python

gamefixes/7850.py

manueliglesiasgarcia/protonfixes

d676b6bf39f6e4268b4791d3d71c6d74e2127121

[ "BSD-2-Clause" ]

213

2018-10-06T01:40:26.000Z

2022-03-16T16:17:37.000Z

gamefixes/7850.py

manueliglesiasgarcia/protonfixes

d676b6bf39f6e4268b4791d3d71c6d74e2127121

[ "BSD-2-Clause" ]

88

2018-10-06T17:38:56.000Z

2022-02-19T13:27:26.000Z

gamefixes/7850.py

manueliglesiasgarcia/protonfixes

d676b6bf39f6e4268b4791d3d71c6d74e2127121

[ "BSD-2-Clause" ]

67

2018-10-09T16:57:16.000Z

2022-03-14T13:06:25.000Z

""" Game fix for Cryostasis """ #pylint: disable=C0103 from protonfixes import util def main(): """ Uses physx """ util.protontricks('physx')

13.083333

30

0.636943

18

157

5.555556

0.888889

0

0.03252

0.216561

157

11

31

14.272727

0.780488

0.388535

0

0.060976

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

5

901a5b488db256c583fdc2aa039051f20c417621

216

py

Python

PyAxe/ACore.py

sunjinopensource/PyAxe

4b01d0aec83006f9ab366acbefbe7a2bcd5bee10

[ "MIT" ]

null

PyAxe/ACore.py

sunjinopensource/PyAxe

4b01d0aec83006f9ab366acbefbe7a2bcd5bee10

[ "MIT" ]

null

PyAxe/ACore.py

sunjinopensource/PyAxe

4b01d0aec83006f9ab366acbefbe7a2bcd5bee10

[ "MIT" ]

null

class ScopeGuard: def __init__(self, handler): self.handler = handler def __enter__(self): return self def __exit__(self, exc_type, exc_value, exc_tb): self.handler()

19.636364

53

0.601852

25

216

4.6

0.52

0.286957

0

0.310185

216

10

54

21.6

0.771812

0

1

0.428571

false

0

0.142857

0.714286

0

1

0

null

1

0

null

0

1

0

1

0

5

901aef1f7c1641d5c81d1c93533be895d76b0171

4,328

py

Python

testing/impl/test_evaluator_segment.py

annuupadhyayPS/python-server-sdk-2

782dac861e81c1f5988af93019f5d1d506e8ef00

[ "Apache-2.0" ]

null

testing/impl/test_evaluator_segment.py

annuupadhyayPS/python-server-sdk-2

782dac861e81c1f5988af93019f5d1d506e8ef00

[ "Apache-2.0" ]

null

testing/impl/test_evaluator_segment.py

annuupadhyayPS/python-server-sdk-2

782dac861e81c1f5988af93019f5d1d506e8ef00

[ "Apache-2.0" ]

null

import pytest from testing.impl.evaluator_util import * def _segment_matches_user(segment: dict, user: dict) -> bool: e = EvaluatorBuilder().with_segment(segment).build() flag = make_boolean_flag_matching_segment(segment) result = e.evaluate(flag, user, event_factory) return result.detail.value def test_explicit_include_user(): s = { "key": "test", "included": [ "foo" ], "version": 1 } u = { "key": "foo" } assert _segment_matches_user(s, u) is True def test_explicit_exclude_user(): s = { "key": "test", "excluded": [ "foo" ], "version": 1 } u = { "key": "foo" } assert _segment_matches_user(s, u) is False def test_explicit_include_has_precedence(): s = { "key": "test", "included": [ "foo" ], "excluded": [ "foo" ], "version": 1 } u = { "key": "foo" } assert _segment_matches_user(s, u) is True def test_matching_rule_with_no_weight(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] } ] } ] } u = { "key": "foo", "email": "test@example.com" } assert _segment_matches_user(s, u) is True def test_matching_rule_with_none_weight(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] } ], "weight": None } ] } u = { "key": "foo", "email": "test@example.com" } assert _segment_matches_user(s, u) is True def test_matching_rule_with_full_rollout(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] } ], "weight": 100000 } ] } u = { "key": "foo", "email": "test@example.com" } assert _segment_matches_user(s, u) is True def test_matching_rule_with_zero_rollout(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] } ], "weight": 0 } ] } u = { "key": "foo", "email": "test@example.com" } assert _segment_matches_user(s, u) is False def test_matching_rule_with_multiple_clauses(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] }, { "attribute": "name", "op": "in", "values": [ "bob" ] } ], "weight": 100000 } ] } u = { "key": "foo", "email": "test@example.com", "name": "bob" } assert _segment_matches_user(s, u) is True def test_non_matching_rule_with_multiple_clauses(): s = { "key": "test", "rules": [ { "clauses": [ { "attribute": "email", "op": "in", "values": [ "test@example.com" ] }, { "attribute": "name", "op": "in", "values": [ "bill" ] } ], "weight": 100000 } ] } u = { "key": "foo", "email": "test@example.com", "name": "bob" } assert _segment_matches_user(s, u) is False

26.552147

68

0.377311

350

4,328

4.442857

0.197143

0.084887

0.108039

0.138907

0.781994

0.759486

0.75627

0.752412

0

0.009795

0.481054

4,328

162

69

26.716049

0.682547

0

0.57047

0

0.165665

0

0.060403

1

0.067114

false

0

0.013423

0

0.087248

0

null

0

1

0

null

0

5

5f7d3ebab58c11484adba78b54172e568e136383

104

py

Python

bnbapp/interest/admin.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

bnbapp/interest/admin.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

bnbapp/interest/admin.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

from django.contrib import admin from interest.models import Interest admin.site.register(Interest)

13

36

0.817308

14

104

6.071429

0.642857

0

0.125

104

7

37

14.857143

0.934066

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

5f7e26326953c64976c633b619dbcdbdb069f5e1

134

py

Python

display/__init__.py

Sketch98/centipede

20381f622410afc1fda70f18f43a421f22a08d59

[ "MIT" ]

null

display/__init__.py

Sketch98/centipede

20381f622410afc1fda70f18f43a421f22a08d59

[ "MIT" ]

null

display/__init__.py

Sketch98/centipede

20381f622410afc1fda70f18f43a421f22a08d59

[ "MIT" ]

null

from __future__ import absolute_import from ._tile_controller import tile_controller from ._palette_selector import palette_selector

26.8

47

0.88806

17

134

6.352941

0.470588

0.259259

0

0.097015

134

4

48

33.5

0.892562

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

5f986a4160e3b7708c8d9cd039337d00e1762c36

79

py

Python

neuralxc/utils/__init__.py

semodi/neuralxc

2af313646e1a2f05d7400075d5d803e771935cda

[ "BSD-3-Clause" ]

24

2019-12-12T14:08:24.000Z

2022-03-18T01:08:42.000Z

neuralxc/utils/__init__.py

semodi/neuralxc

2af313646e1a2f05d7400075d5d803e771935cda

[ "BSD-3-Clause" ]

13

2019-05-16T17:41:12.000Z

2021-10-16T17:46:46.000Z

neuralxc/utils/__init__.py

semodi/neuralxc

2af313646e1a2f05d7400075d5d803e771935cda

[ "BSD-3-Clause" ]

6

2020-05-15T01:32:42.000Z

2022-03-11T13:54:01.000Z

from .density_getter import SiestaDensityGetter from .config import ConfigFile

26.333333

47

0.873418

9

79

7.555556

0.777778

0

0.101266

79

2

48

39.5

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

5f9934420a45b77e03c4bb7516b2eeee803f98ff

136

py

Python

1601-1700/1672-Richest Customer Wealth/1672-Richest Customer Wealth.py

jiadaizhao/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

49

2018-05-05T02:53:10.000Z

2022-03-30T12:08:09.000Z

1601-1700/1672-Richest Customer Wealth/1672-Richest Customer Wealth.py

ptx-c/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

11

2017-12-15T22:31:44.000Z

2020-10-02T12:42:49.000Z

1601-1700/1672-Richest Customer Wealth/1672-Richest Customer Wealth.py

ptx-c/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

28

2017-12-05T10:56:51.000Z

2022-01-26T18:18:27.000Z

class Solution: def maximumWealth(self, accounts: List[List[int]]) -> int: return max(sum(account) for account in accounts)

34

62

0.691176

18

136

5.222222

0.777778

0

0.191176

136

3

63

45.333333

0.854545

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5fa2ea512a9ebbee50210f97689ba99ba6c8b4e6

47

py

Python

hello.py

Sagar-modelling/Demo

a587f290b57fd862429c5ee33407c8dd2868bf42

[ "MIT" ]

null

hello.py

Sagar-modelling/Demo

a587f290b57fd862429c5ee33407c8dd2868bf42

[ "MIT" ]

null

hello.py

Sagar-modelling/Demo

a587f290b57fd862429c5ee33407c8dd2868bf42

[ "MIT" ]

null

print("Hello Python") print("By Sagar Kandpal")

23.5

25

0.744681

7

47

5

0.857143

0

0.085106

47

2

25

23.5

0.813953

0

0.583333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

39a24035f14a950d47f504c92bc169fe063e1677

44

py

Python

run.py

camratchford/contest_automator

97d03a1d5f52fa65fb7bc8105ab69615162f6989

[ "MIT" ]

null

run.py

camratchford/contest_automator

97d03a1d5f52fa65fb7bc8105ab69615162f6989

[ "MIT" ]

null

run.py

camratchford/contest_automator

97d03a1d5f52fa65fb7bc8105ab69615162f6989

[ "MIT" ]

null

import automator automator.enter_contests()

14.666667

26

0.863636

5

44

7.4

0.8

0

0.068182

44

3

26

14.666667

0.902439

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

39a75f9b0fec0c999b091d8be4e8c6580df32b45

144

py

Python

api/api/__main__.py

fcevado/minha-receita

ebd5cca95115d878934a0f762a8e92d3f8f5b495

[ "MIT" ]

1

2020-08-07T18:07:38.000Z

api/api/__main__.py

fcevado/minha-receita

ebd5cca95115d878934a0f762a8e92d3f8f5b495

[ "MIT" ]

null

api/api/__main__.py

fcevado/minha-receita

ebd5cca95115d878934a0f762a8e92d3f8f5b495

[ "MIT" ]

null

from api import app from api.settings import SANIC_HOST, SANIC_PORT, SANIC_DEBUG app.run(host=SANIC_HOST, port=SANIC_PORT, debug=SANIC_DEBUG)

24

60

0.819444

25

144

4.48

0.4

0.125

0

0.104167

144

5

61

28.8

0.868217

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

39a8ade5d3f6420bbd3cc41e4dd9579d6946a45b

104

py

Python

demos/ex_sub_package/simple_graph.py

nferrara100/dependency_mapping

b0634f2aaf3f14466d5c03dd9c57c140e7a64940

[ "MIT" ]

1

2020-08-27T23:02:48.000Z

demos/ex_sub_package/simple_graph.py

nferrara100/spaghetti

b0634f2aaf3f14466d5c03dd9c57c140e7a64940

[ "MIT" ]

null

demos/ex_sub_package/simple_graph.py

nferrara100/spaghetti

b0634f2aaf3f14466d5c03dd9c57c140e7a64940

[ "MIT" ]

null

def a(): b() c() def b(): d() def c(): pass def d(): pass def e(): pass

5.2

8

0.336538

16

104

2.1875

0.4375

0.4

0

0.461538

104

19

9

5.473684

0.625

0

0.272727

0

1

0.454545

true

0.272727

0

0.454545

0

1

0

null

1

0

null

0

1

0

5

f2d0659fbca75543a07ec876474671719c0cf3a3

235

py

Python

api/models/hotohete_settings.py

wen96/hotohete

03f0e37069875a4c3b0f3e4b4759805388c76c33

[ "MIT" ]

2

2017-11-14T20:33:56.000Z

2018-02-18T19:48:18.000Z

api/models/hotohete_settings.py

wen96/hotohete

03f0e37069875a4c3b0f3e4b4759805388c76c33

[ "MIT" ]

10

2017-06-18T11:35:26.000Z

2017-12-05T18:40:17.000Z

api/models/hotohete_settings.py

wen96/hotohete

03f0e37069875a4c3b0f3e4b4759805388c76c33

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models class HotoheteSettings(models.Model): key = models.CharField(max_length=255, unique=True) value = models.CharField(max_length=255)

23.5

55

0.748936

31

235

5.451613

0.709677

0.177515

0.213018

0.284024

0.319527

0

0.034653

0.140426

235

9

56

26.111111

0.80198

0.089362

0

1

0

false

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

f2d621a3e89d6e6d918651df0de97fbe4c37e3b1

882

py

Python

setup.py

brianjbuck/noeval

685fd2b057e967d5653c25f47f9875b98d7cc78b

[ "MIT" ]

null

setup.py

brianjbuck/noeval

685fd2b057e967d5653c25f47f9875b98d7cc78b

[ "MIT" ]

null

setup.py

brianjbuck/noeval

685fd2b057e967d5653c25f47f9875b98d7cc78b

[ "MIT" ]

null

from setuptools import setup setup( name="noeval", description="Warn if `eval()` is committed to a repository", url="https://github.com/brianjbuck/noeval", version="1.0.0", author="Brian Buck", author_email="brian@thebuckpasser.com", classifiers=[ "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", ], install_requires=[], py_modules=["noeval"], entry_points={"console_scripts": ["noeval = noeval:main"]}, )

33.923077

70

0.611111

90

882

5.933333

0.588889

0.284644

0.374532

0.194757

0

0.019202

0.232426

882

25

71

35.28

0.769572

0

0.608844

0.026077

0

1

0

true

0.043478

0

0.043478

0

null

1

0

1

0

null

0

1

0

5

f2fa907fb002217a4d45f35afa5e8d464f844ed8

64

py

Python

measurement_scripts/templates/test_script_load.py

ajsousal/qtNE

37fcbc5e24ef91e25add35323d1c5cf96ee0f272

[ "BSD-3-Clause" ]

null

measurement_scripts/templates/test_script_load.py

ajsousal/qtNE

37fcbc5e24ef91e25add35323d1c5cf96ee0f272

[ "BSD-3-Clause" ]

null

measurement_scripts/templates/test_script_load.py

ajsousal/qtNE

37fcbc5e24ef91e25add35323d1c5cf96ee0f272

[ "BSD-3-Clause" ]

null

station.psg.modulation.set('off') print('psg modulation off')

12.8

33

0.734375

9

64

5.222222

0.666667

0.553191

0

0.09375

64

5

34

12.8

0.810345

0

0.333333

0

1

0

true

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f2feb02d6b563edfd20844261ad5917735b21456

83

py

Python

problem/01000~09999/09546/9546.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-19T16:37:44.000Z

problem/01000~09999/09546/9546.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-20T11:42:44.000Z

problem/01000~09999/09546/9546.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

3

2019-04-19T16:37:47.000Z

2021-10-25T00:45:00.000Z

for _ in range(int(input())): a=0 for i in range(int(input())): a=a*2+1 print(a)

20.75

38

0.60241

19

83

2.578947

0.578947

0.285714

0.408163

0.612245

0.653061

0

0.042857

0.156627

83

4

39

20.75

0.657143

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

5

840a458e6f5f2de0cad293523faf2367b71077a9

12,865

py

Python

app.py

manishkumart/Brand-Your-Business-withAI

f1e0cbc2e05efa3ec322a0ad36be3c4e93e2f7d6

[ "MIT" ]

null

app.py

manishkumart/Brand-Your-Business-withAI

f1e0cbc2e05efa3ec322a0ad36be3c4e93e2f7d6

[ "MIT" ]

null

app.py

manishkumart/Brand-Your-Business-withAI

f1e0cbc2e05efa3ec322a0ad36be3c4e93e2f7d6

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri May 28 17:53:10 2021 @author: Manish """ import openai from fake_useragent import UserAgent import streamlit as st import pandas as pd import streamlit.components.v1 as stc #import key_config pd.options.display.max_colwidth = 10000 st.set_page_config(page_title="BYB", layout="wide", page_icon='🚀') BYB = UserAgent() header = {'User-Agent': str(BYB.chrome)} openai.api_key = "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" def run(): st.markdown("<h1 style='text-align: center; color: Black;'>Brand your Business with AI 🧠</h1>", unsafe_allow_html=True) st.markdown("<h5 style='text-align: center; color: Black;'>Made with ❤️ by Manish <a href='https://www.linkedin.com/in/manishkumarthota'><img src='data:image/png;base64,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', width='15', height='15'></a></a></h5>", unsafe_allow_html=True) st.subheader("Project is under development 🚧, further i will be adding StackGAN to synthsize the logo decsription into an image") company_name, headquarters_location, Industries = st.beta_columns(3) ## Company name company_name = company_name.text_input('Enter company name') ## Location headquarters_location = headquarters_location.text_input("Enter the location") ## Industry Industries = Industries.text_input("Enter the industry") #company_name = input("Input your company name：") #headquarters_location = input('Input the location of') #Industries = input('Input relevant industry for') #company_name = widgets.Text(value='kishen enterprises ltd', disabled=False,description='Name') #headquarters_location = widgets.Text(value='Tanzania', disabled=False,description='Location') #industries = widgets.Text(value='Business Supplies & Equipment', disabled=False,description='Industries') #display(company_name,headquarters_location,industries) if st.button("Execute"): try: #graphics('index.html') #graphics('index.html', 0) myEntry = f"""Company's name:{company_name}\nHeadquaters location:{headquarters_location}\nIndustry:{Industries}""" #parameters myTokens = 600 myEngine = "davinci" myTemp = 0.85 myTop_p = 1 myN=1 myStream = None myLogProbs = None myStop = "\n\n" #Custom text input myPrompt = f"""Generates everything that a new business needs to get started connecting with their audience. Company's name:Apple Computer Inc. Headquaters location:USA Industry: Computer hardware,Computer software,Consumer electronics,Cloud computing,Digital distribution,Fabless silicon design,Semiconductors,Media,Financial technology,Artificial intelligence Geographical focus:global Moto:make the best products Logo concept: an apple with a bite taken out of it. Black. No text. Suggested company colors: black and white Suggested company slogan:Think Different 3 product ideas:portable music player, online music store, web application store 1 free tweet: '''Apple Computer today unveiled its much-anticipated Macintosh computer, a sophisticated, affordably priced personal computer designed for business people, professionals and students in a broad range of fields.''' Geographic targets:United States, Canada, United Kingdom {myEntry} """ response = openai.Completion.create( engine=myEngine, prompt=myPrompt, max_tokens=myTokens, temperature=myTemp, top_p=myTop_p, n=myN, stream = myStream, logprobs=myLogProbs, stop = myStop ) result = myEntry.split('\n') + (response.choices[0].text).split('\n') Suggestion = [] Results = [] for i in result: Results.append(i.split(":")[0]) Suggestion.append(i.split(":")[1]) df = pd.DataFrame({"Details":Results,"Results":Suggestion}) st.table(df) #st.dataframe(data=df, width=1700, height=1768) except Exception as e: st.error("Something went wrong, please try once again!!") print(e) elif st.button("About"): st.header("What does this app do?") st.subheader("Branding your Business with AI is built on top of OpenAI's GPT-3 and streamlit framework, You need to give three inputs mentioned above and the AI suggests you the followings:") st.write("1. Company's name") st.write("2. Headquaters location") st.write("3. Industry") st.write("4. Geographical focus of the company.") st.write("5. Suggested motto for the company.") st.write("6. Logo concept") st.write("7. Suggested company colors.") st.write("8. Suggested company slogan.") st.write("9. Product ideas") st.write("10. Free tweets that can enhance your presence on twitter.") st.write("11. Geographic targets for the expansion of the company.") run()

91.892857

7,611

0.818033

853

12,865

12.303634

0.627198

0.007337

0.076608

0.055836

0.005717

0

0.09702

0.121104

12,865

139

7,612

92.553957

0.830724

0.05752

0

0.0625

0.802116

0.630021

0

1

0

1

0.0125

false

0

0.0625

0

0.075

0.0125

0

1

null

0

1

0

1

null

1

0

5

842f8fcfa3aee758875bfe1ff6f61a45a16b9d41

33

py

Python

utils/array.py

o0starshine0o/LearnAlgorithms

dae38707898edc94c58b49b0d0445341ea15fe8c

[ "MIT" ]

null

utils/array.py

o0starshine0o/LearnAlgorithms

dae38707898edc94c58b49b0d0445341ea15fe8c

[ "MIT" ]

null

utils/array.py

o0starshine0o/LearnAlgorithms

dae38707898edc94c58b49b0d0445341ea15fe8c

[ "MIT" ]

null

StaticArray = [5, 2, 4, 6, 1, 3]

16.5

32

0.515152

7

33

2.428571

1

0

0.24

0.242424

33

1

33

0.44

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

8441fa31202ead8175d6a3546b1ea9790953c76b

130

py

Python

jsonrpc/__init__.py

escrowmycoinsnet/python-monerorpc

8e3064e521992b55c5e43e3f782b4f9d4634c50d

[ "MIT" ]

12

2017-12-20T23:54:37.000Z

2021-06-01T04:54:26.000Z

jsonrpc/__init__.py

escrowmycoinsnet/python-monerorpc

8e3064e521992b55c5e43e3f782b4f9d4634c50d

[ "MIT" ]

8

2018-01-05T10:32:14.000Z

2021-12-20T23:07:48.000Z

lib/jsonrpc/__init__.py

MericD/Python-Bitcoin-Transaction-Parser

c08c0efeb7b9ea8abea6905e5960d294abbdd6d1

[ "MIT" ]

18

2017-12-20T23:54:43.000Z

2021-10-03T05:02:51.000Z

from .json import loads, dumps, JSONEncodeException, JSONDecodeException from jsonrpc.proxy import ServiceProxy, JSONRPCException

43.333333

72

0.861538

13

130

8.615385

0.846154

0

0.092308

130

2

73

65

0.949153

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ffbdefa274fd354b358dc46bb9a036230c5e2a32

122

py

Python

run_jira_ticket_migrate.py

suukit/jira-ticket-migrate

9d92cf7897cb6d9ff6b236364c0e311fcca65458

[ "MIT" ]

null

run_jira_ticket_migrate.py

suukit/jira-ticket-migrate

9d92cf7897cb6d9ff6b236364c0e311fcca65458

[ "MIT" ]

3

2020-10-27T21:26:12.000Z

2021-06-01T22:52:43.000Z

run_jira_ticket_migrate.py

suukit/jira-ticket-migrate

9d92cf7897cb6d9ff6b236364c0e311fcca65458

[ "MIT" ]

2

2020-06-03T19:04:06.000Z

2021-11-18T12:57:06.000Z

#!/usr/bin/env python3 """Runs the Jira ticket migration.""" from jira_ticket_migrate.main import main # Run it main()

13.555556

41

0.721311

19

122

4.526316

0.789474

0.232558

0

0.009615

0.147541

122

8

42

15.25

0.817308

0.491803

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

ffcd10623601894059da3e801b7dd5f49e7e3031

36

py

Python

a.py

MrigankSharma/TEST

cc2dc40edac000c2436972f7d114b1164550c521

[ "Apache-2.0" ]

null

a.py

MrigankSharma/TEST

cc2dc40edac000c2436972f7d114b1164550c521

[ "Apache-2.0" ]

null

a.py

MrigankSharma/TEST

cc2dc40edac000c2436972f7d114b1164550c521

[ "Apache-2.0" ]

null

#!/usr/bin/python3 print("hello")

7.2

18

0.638889

5

36

4.6

1

0

0.03125

0.111111

36

4

19

9

0.6875

0.472222

0

0.294118

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ffdd38c0450afce27fe041a8278245bfe20ee2fd

71

py

Python

util/commands/bot.py

xrxbsx/goldmine

edab25451b3620e6fea9a8f1b0afcaa9e1637faa

[ "MIT" ]

1

2021-03-31T23:07:08.000Z

util/commands/bot.py

xrxbsx/goldmine

edab25451b3620e6fea9a8f1b0afcaa9e1637faa

[ "MIT" ]

null

util/commands/bot.py

xrxbsx/goldmine

edab25451b3620e6fea9a8f1b0afcaa9e1637faa

[ "MIT" ]

null

from discord.ext.commands.bot import * from .context import ProContext

23.666667

38

0.816901

10

71

5.8

0.8

0

0.112676

71

2

39

35.5

0.920635

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ffe7dbf5214cb22833730cdb36775a5b15aeb95b

267

py

Python

tests/datastructures/test_network.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

tests/datastructures/test_network.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

tests/datastructures/test_network.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

from compas.datastructures import Network def test_add_vertex(): network = Network() assert network.add_vertex() == 0 assert network.add_vertex(x=0, y=0, z=0) == 1 assert network.add_vertex(key=2) == 2 assert network.add_vertex(key=0, x=1) == 0

26.7

49

0.677903

43

267

4.069767

0.395349

0.257143

0.365714

0.502857

0.285714

0

0.046083

0.187266

267

9

50

29.666667

0.760369

0

0.571429

1

0.142857

false

0

0.142857

0

0.285714

0

null

1

0

1

0

null

0

1

0

5

0819b00ada6006742b9d03c56dad675b6bcee3df

278

py

Python

03_software-development/exercise_pytest.py

benebrue/py-algorithms-4-automotive-engineering

eb4c137f3125e3f758bd25bffc4f2e9e5800b517

[ "MIT" ]

null

03_software-development/exercise_pytest.py

benebrue/py-algorithms-4-automotive-engineering

eb4c137f3125e3f758bd25bffc4f2e9e5800b517

[ "MIT" ]

null

03_software-development/exercise_pytest.py

benebrue/py-algorithms-4-automotive-engineering

eb4c137f3125e3f758bd25bffc4f2e9e5800b517

[ "MIT" ]

null

from pytest import approx from my_source import euclid def test_simple_test(): assert(euclid([1, 1], [1, 1]) == approx(0)) def test_simple_test_2(): assert(euclid([1, 2], [5, -1]) == approx(5)) def test_simple_test_3(): assert(euclid([0, 0], [1, 1]) == approx(0))

25.272727

48

0.636691

47

278

3.574468

0.340426

0.047619

0.232143

0.303571

0

0.073276

0.165468

278

11

49

25.272727

0.650862

0

0.375

1

0.375

true

0

0.25

0

0.625

0

null

0

1

0

null

0

1

0

1

0

5

082a8020784683d5be4901013682ed3625b2804d

24

py

Python

web/version.py

levixie/atxserver2

f705de3c31cfbaf1c9a8be9ab51030c70cc31d94

[ "MIT" ]

null

web/version.py

levixie/atxserver2

f705de3c31cfbaf1c9a8be9ab51030c70cc31d94

[ "MIT" ]

null

web/version.py

levixie/atxserver2

f705de3c31cfbaf1c9a8be9ab51030c70cc31d94

[ "MIT" ]

null

__version__ = "2019.5.8"

24

0.708333

4

24

3.25

1

0

0.272727

0.083333

24

1

24

0.318182

0

0.32

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

f252e2246c42b3b338a901f2bd611624c9f6c58a

59

py

Python

pyalgo/basic_modules/algocryption_default_values/__init__.py

gilad-dotan/pyalgo_pkg

132ff3c032c3fc0ae910201611e5d2cde387eb74

[ "MIT" ]

1

2021-04-01T08:59:30.000Z

pyalgo/basic_modules/algocryption_default_values/__init__.py

gilad-dotan/pyalgo_pkg

132ff3c032c3fc0ae910201611e5d2cde387eb74

[ "MIT" ]

null

pyalgo/basic_modules/algocryption_default_values/__init__.py

gilad-dotan/pyalgo_pkg

132ff3c032c3fc0ae910201611e5d2cde387eb74

[ "MIT" ]

null

from . import Simple_Columnar_Transposition_default_values

29.5

58

0.915254

7

59

7.142857

1

0

0.067797

59

1

59

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f25e06eb28738cb8f1fc3b1d50ec702106da830c

71

py

Python

py_list/py_list.py

StanLepunK/PYTHON_basics

da803bd72824de281677f3ba4c5d7bd44a7460fb

[ "MIT" ]

null

py_list/py_list.py

StanLepunK/PYTHON_basics

da803bd72824de281677f3ba4c5d7bd44a7460fb

[ "MIT" ]

null

py_list/py_list.py

StanLepunK/PYTHON_basics

da803bd72824de281677f3ba4c5d7bd44a7460fb

[ "MIT" ]

null

ma_liste = [1,2,3] print(ma_liste) ma_liste[0] = "truc" print(ma_liste)

17.75

20

0.704225

15

71

3.066667

0.533333

0.608696

0.521739

0

0.0625

0.098592

71

4

21

17.75

0.65625

0

0.5

0

0.055556

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

f27344493979465fe1ad647b0b646e12e8eb2f6a

79

py

Python

workaround/__init__.py

WorkAroundOnline/python-workaround

5f12c0ec683b0f8cf2ce88a8f9c9741b38327ade

[ "MIT" ]

null

workaround/__init__.py

WorkAroundOnline/python-workaround

5f12c0ec683b0f8cf2ce88a8f9c9741b38327ade

[ "MIT" ]

null

workaround/__init__.py

WorkAroundOnline/python-workaround

5f12c0ec683b0f8cf2ce88a8f9c9741b38327ade

[ "MIT" ]

null

import workaround.api as api from .Client import Client from .Task import Task

19.75

28

0.810127

13

79

4.923077

0.538462

0

0.151899

79

3

29

26.333333

0.955224

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f2814af0a7aa0f48cb73985d28cc4c737f793f61

4,563

py

Python

plot/box/paths_acrobot_finalPlots.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

plot/box/paths_acrobot_finalPlots.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

plot/box/paths_acrobot_finalPlots.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

ac_rnd = [34, 4, 43, 30, 24, 32, 40, 11, 20, 30, 3, 16, 53, 45, 0, 21, 43, 23, 44, 50, 9, 41, 37, 37, 11, 2, 26, 33, 18, 20] basepath = "../../data/finalPlots/data/hyperparam_v5/" basepath_new = "../../data/finalPlots/data/hyperparam_v5_newData/" ac_true = [basepath + "acrobot/online_learning/esarsa/step15k/sweep/"] ac_fqi_tc = [basepath + "acrobot/offline_learning/random_restarts/fqi-linear/fqi-adam/alpha_hidden_epsilon/step5k_env/optimalfixed_eps0/lambda1e-3/lockat_baseline_online/"] ac_fqi_nn = [basepath + "acrobot/offline_learning/random_restarts/fqi/fqi-adam/alpha_hidden_epsilon/step5k_env/optimalfixed_eps0/earlystop/lambda1e-3/lockat_baseline_online/"] # PLOT 1 ac_knnlaplace_optim_5k = [basepath + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step5k_env/data_optimal/drop0/sweep_rep1/"] ac_knnraw_optim_5k = [basepath + "acrobot/offline_learning/knn/learning/k3/timeout500/esarsa/step5k_env/data_optimal/drop0/sweep/"] ac_networkscaledlaplace_optim_5k = [basepath + "acrobot/offline_learning/network/learning/clip_scale_laplace_separated/timeout500/esarsa/step5k_env/data_optimal/sweep/"] ac_networkscaledraw_optim_5k = [basepath + "acrobot/offline_learning/network/learning/clip_scale_separated/timeout500/esarsa/step5k_env/data_optimal/sweep/"] # PLOT 2 ac_knnlaplace_avg_5k_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step5k_env/data_suboptimal/drop0/sweep_rep1/"] ac_knnlaplace_avg_2500_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step2.5k_env/data_suboptimal/drop0/sweep_rep1/"] ac_knnlaplace_avg_1k_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step1k_env/data_suboptimal/drop0/sweep_rep1/"] ac_knnlaplace_avg_500_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step500_env/data_suboptimal/drop0/sweep_rep1/"] ac_knnlaplace_optim_5k_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step5k_env/data_optimal/drop0/sweep_rep1/"] ac_knnlaplace_bad_5k_new = [basepath_new + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step5k_env/data_subsuboptimal/drop0/sweep_rep1/"] # PLOT 3 acshift_true = ["../../data/hyperparam_v5/acrobot_shift/online_learning/shift/esarsa/step15k/sweep/"] # acshift_knnlaplace_optim_5k_50kstep = [basepath + "acrobot_shift/online_learning/shift/esarsa/step50k/best/"] # acshift_knnlaplace_optim_5k = [basepath + "acrobot_shift/online_learning/shift/esarsa/step15k/all/"] acshift_knnlaplace_optim_5k = [basepath + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step5k_env/data_optimal/drop0/sweep_rep1/"] acshift_esarsa_true_trans = ["../../data/hyperparam_v5/acrobot_shift/policy_transfer/shift/load_default/esarsa/all/"] acshift_esarsa_calibration_trans = ["../../data/hyperparam_v5/acrobot_shift/policy_transfer/shift/load_calibration_default/esarsa/fixed_all/"] acshift_fqi_tc_optim_5k = [basepath + "acrobot_shift/policy_transfer/shift/load_default/fqi-linear/lambda1e-3/"] acshift_fqi_nn_optim_5k = [basepath + "acrobot_shift/policy_transfer/shift/load_default/fqi/lambda1e-3/"] # acshift_knnlaplace_optim_5k = [basepath + "acrobot_shift/online_learning/shift/esarsa/step15k/best/"] # acshift_esarsa_true_trans = [basepath + "acrobot_shift/policy_transfer/shift/load_default/esarsa/best/"] # acshift_esarsa_calibration_trans = [basepath + "acrobot_shift/policy_transfer/shift/load_calibration_default/esarsa/fixed/"] # PLOT temp ac_dqn = [basepath + "acrobot/online_learning/dqn/step600k/sweep/"] ac_actorcritic = [basepath + "acrobot/online_learning/ac/step30k/sweep/"] ac_dqn_knnlaplace_optim = [basepath + "acrobot/offline_learning/knn/learning/k3_laplace/timeout2k/dqn/step5k_env/data_optimal/drop0/sweep_rep1/"] ac_actorcritic_knnlaplace_optim = [basepath + "acrobot/offline_learning/knn/learning/k3_laplace/timeout500/ac/step5k_env/data_optimal/drop0/sweep_rep1/"] # PLOT CEM ac_cemlaplace_optim_5k = [basepath + "acrobot/list/CEMofflineList_KNNlaplace/esarsa/step15k/sweep/"] ac_true_old = [basepath + "hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/acrobot/online_learning/esarsa/step15k/sweep/"] ac_knnraw_optim_5k_old = [basepath + "hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/acrobot/offline_learning/k3_timeout750/esarsa/step15k/optimalfixed_eps0/sweep/"] ac_cemraw_optim_5k_old = [basepath + "hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/acrobot/list/CEMoffline_onlineEvaluation/esarsa/step15k/sweep/"]

93.122449

175

0.82906

637

4,563

5.562009

0.186813

0.084674

0.099351

0.077618

0.762631

0.721987

0.720011

0.637595

0.549534

0.467401

0

0.049275

0.048214

4,563

48

176

95.0625

0.766521

0.127548

0

0.433333

0.686146

0

1

0

false

0

null

0

1

0

1

null

0

5

f2a0f3772ed1029e959be940817de8090dfd434c

168

py

Python

tests/sublime_mock.py

krzystof/phpunitkit

a483eeab24fbf04efb2c28ff16f1365dddb73594

[ "BSD-3-Clause" ]

null

tests/sublime_mock.py

krzystof/phpunitkit

a483eeab24fbf04efb2c28ff16f1365dddb73594

[ "BSD-3-Clause" ]

null

tests/sublime_mock.py

krzystof/phpunitkit

a483eeab24fbf04efb2c28ff16f1365dddb73594

[ "BSD-3-Clause" ]

null

class sublime(): pass class sublime_plugin(): class TextCommand(): pass class WindowCommand(): pass sublime = sublime() sublime_plugin = sublime_plugin()

16.8

33

0.708333

18

168

6.444444

0.333333

0.336207

0

0.184524

168

9

34

18.666667

0.846715

0

1

0

false

0.428571

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

4b514f8985b3b13dd916113759761ed513a9f4c5

7,452

py

Python

keystone/tests/unit/test_contrib_ec2_core.py

10088/keystone

1561da645b6512decdc0d307d2ec79a8a4c9cc87

[ "Apache-2.0" ]

615

2015-01-07T12:32:52.000Z

2022-03-24T03:49:47.000Z

keystone/tests/unit/test_contrib_ec2_core.py

10088/keystone

1561da645b6512decdc0d307d2ec79a8a4c9cc87

[ "Apache-2.0" ]

11

2015-04-13T18:52:40.000Z

2021-08-21T06:13:05.000Z

keystone/tests/unit/test_contrib_ec2_core.py

10088/keystone

1561da645b6512decdc0d307d2ec79a8a4c9cc87

[ "Apache-2.0" ]

696

2015-01-15T00:31:07.000Z

2022-03-16T09:56:00.000Z

# Copyright 2012 OpenStack Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import datetime import hashlib import http.client from keystoneclient.contrib.ec2 import utils as ec2_utils from oslo_utils import timeutils from keystone.common import provider_api from keystone.common import utils from keystone.tests import unit from keystone.tests.unit import test_v3 PROVIDERS = provider_api.ProviderAPIs class EC2ContribCoreV3(test_v3.RestfulTestCase): def setUp(self): super(EC2ContribCoreV3, self).setUp() self.cred_blob, self.credential = unit.new_ec2_credential( self.user['id'], self.project_id) PROVIDERS.credential_api.create_credential( self.credential['id'], self.credential) def test_valid_authentication_response_with_proper_secret(self): signer = ec2_utils.Ec2Signer(self.cred_blob['secret']) timestamp = utils.isotime(timeutils.utcnow()) credentials = { 'access': self.cred_blob['access'], 'secret': self.cred_blob['secret'], 'host': 'localhost', 'verb': 'GET', 'path': '/', 'params': { 'SignatureVersion': '2', 'Action': 'Test', 'Timestamp': timestamp }, } credentials['signature'] = signer.generate(credentials) resp = self.post( '/ec2tokens', body={'credentials': credentials}, expected_status=http.client.OK) self.assertValidProjectScopedTokenResponse(resp, self.user) def test_valid_authentication_response_with_signature_v4(self): signer = ec2_utils.Ec2Signer(self.cred_blob['secret']) timestamp = utils.isotime(timeutils.utcnow()) hashed_payload = ( 'GET\n' '/\n' 'Action=Test\n' 'host:localhost\n' 'x-amz-date:' + timestamp + '\n' '\n' 'host;x-amz-date\n' 'e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855' ) body_hash = hashlib.sha256(hashed_payload.encode()).hexdigest() amz_credential = ( 'AKIAIOSFODNN7EXAMPLE/%s/us-east-1/iam/aws4_request,' % timestamp[:8]) credentials = { 'access': self.cred_blob['access'], 'secret': self.cred_blob['secret'], 'host': 'localhost', 'verb': 'GET', 'path': '/', 'params': { 'Action': 'Test', 'X-Amz-Algorithm': 'AWS4-HMAC-SHA256', 'X-Amz-SignedHeaders': 'host,x-amz-date,', 'X-Amz-Credential': amz_credential }, 'headers': { 'X-Amz-Date': timestamp }, 'body_hash': body_hash } credentials['signature'] = signer.generate(credentials) resp = self.post( '/ec2tokens', body={'credentials': credentials}, expected_status=http.client.OK) self.assertValidProjectScopedTokenResponse(resp, self.user) def test_authenticate_with_empty_body_returns_bad_request(self): self.post( '/ec2tokens', body={}, expected_status=http.client.BAD_REQUEST) def test_authenticate_without_json_request_returns_bad_request(self): self.post( '/ec2tokens', body='not json', expected_status=http.client.BAD_REQUEST) def test_authenticate_without_request_body_returns_bad_request(self): self.post( '/ec2tokens', expected_status=http.client.BAD_REQUEST) def test_authenticate_without_proper_secret_returns_unauthorized(self): signer = ec2_utils.Ec2Signer('totally not the secret') timestamp = utils.isotime(timeutils.utcnow()) credentials = { 'access': self.cred_blob['access'], 'secret': 'totally not the secret', 'host': 'localhost', 'verb': 'GET', 'path': '/', 'params': { 'SignatureVersion': '2', 'Action': 'Test', 'Timestamp': timestamp }, } credentials['signature'] = signer.generate(credentials) self.post( '/ec2tokens', body={'credentials': credentials}, expected_status=http.client.UNAUTHORIZED) def test_authenticate_expired_request(self): self.config_fixture.config( group='credential', auth_ttl=5 ) signer = ec2_utils.Ec2Signer(self.cred_blob['secret']) past = timeutils.utcnow() - datetime.timedelta(minutes=10) timestamp = utils.isotime(past) credentials = { 'access': self.cred_blob['access'], 'secret': self.cred_blob['secret'], 'host': 'localhost', 'verb': 'GET', 'path': '/', 'params': { 'SignatureVersion': '2', 'Action': 'Test', 'Timestamp': timestamp }, } credentials['signature'] = signer.generate(credentials) self.post( '/ec2tokens', body={'credentials': credentials}, expected_status=http.client.UNAUTHORIZED) def test_authenticate_expired_request_v4(self): self.config_fixture.config( group='credential', auth_ttl=5 ) signer = ec2_utils.Ec2Signer(self.cred_blob['secret']) past = timeutils.utcnow() - datetime.timedelta(minutes=10) timestamp = utils.isotime(past) hashed_payload = ( 'GET\n' '/\n' 'Action=Test\n' 'host:localhost\n' 'x-amz-date:' + timestamp + '\n' '\n' 'host;x-amz-date\n' 'e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855' ) body_hash = hashlib.sha256(hashed_payload.encode()).hexdigest() amz_credential = ( 'AKIAIOSFODNN7EXAMPLE/%s/us-east-1/iam/aws4_request,' % timestamp[:8]) credentials = { 'access': self.cred_blob['access'], 'secret': self.cred_blob['secret'], 'host': 'localhost', 'verb': 'GET', 'path': '/', 'params': { 'Action': 'Test', 'X-Amz-Algorithm': 'AWS4-HMAC-SHA256', 'X-Amz-SignedHeaders': 'host,x-amz-date,', 'X-Amz-Credential': amz_credential }, 'headers': { 'X-Amz-Date': timestamp }, 'body_hash': body_hash } credentials['signature'] = signer.generate(credentials) self.post( '/ec2tokens', body={'credentials': credentials}, expected_status=http.client.UNAUTHORIZED)

34.985915

78

0.56978

710

7,452

5.829577

0.242254

0.02706

0.04059

0.034791

0.740759

0.734235

0.717565

0.686156

0

0.02999

0.310923

7,452

212

79

35.150943

0.776047

0.074879

0

0.751381

0

0.183285

0.03343

0

0.01105

1

0.049724

false

0

0.049724

0

0.104972

0

null

0

1

0

1

0

1

0

null

0

5

4b7677f36b02e5b1fc6470e397cb0afc8d981fea

166

py

Python

depynd/__init__.py

y-takashina/relatepy

9ac5eb2878d9cf76fb8a92e7c1cde854c745ab3c

[ "MIT" ]

10

2019-09-27T00:38:52.000Z

2022-03-24T04:34:12.000Z

depynd/__init__.py

y-takashina/relatepy

9ac5eb2878d9cf76fb8a92e7c1cde854c745ab3c

[ "MIT" ]

23

2018-02-01T05:18:11.000Z

2018-10-18T09:15:35.000Z

depynd/__init__.py

y-takashina/relatepy

9ac5eb2878d9cf76fb8a92e7c1cde854c745ab3c

[ "MIT" ]

2

2019-03-26T04:26:18.000Z

2020-01-20T03:39:25.000Z

from depynd import ( information, feature_selection, markov_networks, ) __all__ = [ 'information', 'feature_selection', 'markov_networks', ]

13.833333

24

0.656627

14

166

7.214286

0.642857

0.356436

0.534653

0.653465

0.811881

0

0.240964

166

11

25

15.090909

0.801587

0

0.259036

0

1

0

false

0

0.1

0

0.1

0

1

0

null

1

0

null

0

5

4bbbdc4bb8c6868703775022cab582259a73d0ba

64

py

Python

py_tdlib/constructors/file_type_unknown.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/file_type_unknown.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/file_type_unknown.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Type class fileTypeUnknown(Type): pass

10.666667

28

0.765625

8

64

6.125

0.875

0

0.15625

64

5

29

12.8

0.907407

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

4bc3e98ebf11e3257ce8d7fa626f28762efc1b00

199

py

Python

Mundo I/D012 - 5 por cento de desconto.py

Orecruta/Exercicios-Python

129a15930ea22df1f0a7d6bd39a7ac28be515034

[ "MIT" ]

null

Mundo I/D012 - 5 por cento de desconto.py

Orecruta/Exercicios-Python

129a15930ea22df1f0a7d6bd39a7ac28be515034

[ "MIT" ]

null

Mundo I/D012 - 5 por cento de desconto.py

Orecruta/Exercicios-Python

129a15930ea22df1f0a7d6bd39a7ac28be515034

[ "MIT" ]

null

print('====== DESAFIO 012 - 5% DE DESCONTO ======') p = float(input('Qual o preço da roupa? R$')) d = p - (p/100*5) print(f'De R${p}, você irá pagar R${d:.2f} na roupa por causa dos 5% de desconto!')

49.75

83

0.58794

39

199

3

0.666667

0.051282

0.188034

0

0.060606

0.170854

199

4

83

49.75

0.648485

0

0.25

0.7

0

1

0

false

0

0.5

0

null

0

1

0

1

0

1

0

null

0

1

0

5

29d1351df7609670cb0cc4afc6f98e9dde5ff879

142

py

Python

sql/__init__.py

txgyy/ipproxytool

59db3c4394abaf3df4a31ac35d297a1c7f929f65

[ "MIT" ]

11

2018-07-24T10:45:54.000Z

2021-06-30T08:42:18.000Z

sql/__init__.py

txgyy/ipproxytool

59db3c4394abaf3df4a31ac35d297a1c7f929f65

[ "MIT" ]

3

2021-03-18T20:24:09.000Z

2021-12-13T19:44:52.000Z

sql/__init__.py

txgyy/ipproxytool

59db3c4394abaf3df4a31ac35d297a1c7f929f65

[ "MIT" ]

4

2018-11-07T07:15:47.000Z

2020-04-15T14:15:18.000Z

#-*- coding: utf-8 -*- import sql.sql_base from sql.mysql import MySql from sql.mongodb import Mongodb from sql.sql_manager import SqlManager

23.666667

38

0.78169

23

142

4.73913

0.478261

0.192661

0

0.008065

0.126761

142

6

38

23.666667

0.870968

0.147887

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

29f87aa29e845f3b816e68a5371dd310fc200e9a

2,323

py

Python

obfsproxy/test/int_tests/test_pits.py

aallai/pyobfsproxy

9c88a40f0475a0c510f14d92a10437321ac14da5

[ "BSD-3-Clause" ]

1

2016-12-17T11:26:46.000Z

obfsproxy/test/int_tests/test_pits.py

aallai/pyobfsproxy

9c88a40f0475a0c510f14d92a10437321ac14da5

[ "BSD-3-Clause" ]

null

obfsproxy/test/int_tests/test_pits.py

aallai/pyobfsproxy

9c88a40f0475a0c510f14d92a10437321ac14da5

[ "BSD-3-Clause" ]

null

import os import logging import twisted.trial.unittest import pits class PITSTest(twisted.trial.unittest.TestCase): def setUp(self): pass def tearDown(self): self.treader.cleanup() def _doTest(self, transport_name, test_case_file): self.treader = pits.TestReader(self.assertTrue, test_case_file) return self.treader.do_test( ('%s' % transport_name, 'client', '127.0.0.1:%d' % pits.CLIENT_OBFSPORT, '--dest=127.0.0.1:%d' % pits.SERVER_OBFSPORT), ('%s' % transport_name, 'server', '127.0.0.1:%d' % pits.SERVER_OBFSPORT, '--dest=127.0.0.1:%d' % self.treader.pits.get_pits_inbound_address().port)) def _doTest_shared_secret(self, transport_name, test_case_file): self.treader = pits.TestReader(self.assertTrue, test_case_file) return self.treader.do_test( ('%s' % transport_name, 'client', '127.0.0.1:%d' % pits.CLIENT_OBFSPORT, '--shared-secret=test', '--dest=127.0.0.1:%d' % pits.SERVER_OBFSPORT), ('%s' % transport_name, 'server', '127.0.0.1:%d' % pits.SERVER_OBFSPORT, '--shared-secret=test', '--dest=127.0.0.1:%d' % self.treader.pits.get_pits_inbound_address().port)) # XXX This is pretty ridiculous. Find a smarter way to make up for the # absense of load_tests(). def test_dummy_1(self): return self._doTest("dummy", "../test_case.pits") def test_dummy_2(self): return self._doTest("dummy", "../test_case_simple.pits") def test_obfs2_1(self): return self._doTest("obfs2", "../test_case.pits") def test_obfs2_2(self): return self._doTest("obfs2", "../test_case_simple.pits") def test_obfs2_shared_secret_1(self): return self._doTest_shared_secret("obfs2", "../test_case.pits") def test_obfs2_shared_secret_2(self): return self._doTest_shared_secret("obfs2", "../test_case_simple.pits") def test_obfs3_1(self): return self._doTest("obfs3", "../test_case.pits") def test_obfs3_2(self): return self._doTest("obfs3", "../test_case_simple.pits") if __name__ == '__main__': from unittest import main main()

33.666667

88

0.611279

306

2,323

4.362745

0.222222

0.07191

0.029963

0.035955

0.758802

0.73633

0.718352

0.500375

0.432959

0

0.038702

0.24365

2,323

68

89

34.161765

0.721116

0.040034

0

0.423077

0

0.183206

0.043107

0

0.038462

1

0.230769

false

0.019231

0.096154

0.153846

0.538462

0

null

0

1

0

null

0

1

0

1

0

5

d9b52b61ebe9747a41bbf93bd610ce703fe9b610

45

py

Python

srv/responses/__init__.py

atomicfruitcake/gnutty

b96493dfb6fa5010e67e104e9baca5a5e06373ab

[ "MIT" ]

null

srv/responses/__init__.py

atomicfruitcake/gnutty

b96493dfb6fa5010e67e104e9baca5a5e06373ab

[ "MIT" ]

null

srv/responses/__init__.py

atomicfruitcake/gnutty

b96493dfb6fa5010e67e104e9baca5a5e06373ab

[ "MIT" ]

null

"""! @author atomicfruitcake @date 2020 """

7.5

23

0.644444

4

45

7.25

1

0

0.105263

0.155556

45

5

24

9

0.657895

0.822222

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

d9b9f5c2f53cd5e6c472076078c22c0e59e80ee6

55

py

Python

Scripts/Commands/date.py

SeboTime/Sebo-Dos

4dbc9481bcc497c5f9f77ec665cbe3263c262f1f

[ "Apache-2.0" ]

1

2021-12-26T12:09:42.000Z

Scripts/Commands/date.py

SeboTime/Sebo-Dos

4dbc9481bcc497c5f9f77ec665cbe3263c262f1f

[ "Apache-2.0" ]

null

Scripts/Commands/date.py

SeboTime/Sebo-Dos

4dbc9481bcc497c5f9f77ec665cbe3263c262f1f

[ "Apache-2.0" ]

null

import datetime print("") print(datetime.date.today())

13.75

28

0.745455

7

55

5.857143

0.714286

0

0.072727

55

4

28

13.75

0.803922

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d9c07d42fbf6aa7132b681df0c30ef8698eeef7f

54

py

Python

hello-world-jack-s.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

2

2018-09-28T18:46:05.000Z

2018-09-28T19:00:27.000Z

hello-world-jack-s.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

67

2018-09-26T06:39:43.000Z

2018-10-03T15:32:12.000Z

hello-world-jack-s.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

62

2018-09-27T20:12:32.000Z

2018-10-03T23:53:47.000Z

#!/usr/bin/env python3 print("Hello from Jack Soto.")

18

30

0.703704

9

54

4.222222

1

0

0.020833

0.111111

54

3

30

18

0.770833

0.388889

0

0.636364

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d9df971acd713ba51d1158094340b0a6492442e6

75

py

Python

the-python-standard-library-by-example/sysconfig/sysconfig_get_platform.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

13

2020-01-04T07:37:38.000Z

2021-08-31T05:19:58.000Z

the-python-standard-library-by-example/sysconfig/sysconfig_get_platform.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

3

2020-06-05T22:42:53.000Z

2020-08-24T07:18:54.000Z

the-python-standard-library-by-example/sysconfig/sysconfig_get_platform.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

9

2020-10-19T04:53:06.000Z

2021-08-31T05:20:01.000Z

# -*- coding: utf-8 -*- import sysconfig print(sysconfig.get_platform())

12.5

31

0.68

9

75

5.555556

0.888889

0

0.015385

0.133333

75

5

32

15

0.753846

0.28

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d9e2f682dcba9afb4dfd2269f661dcc502ea666a

66

py

Python

ark_nlp/processor/tokenizer/__init__.py

Zrealshadow/ark-nlp

159045d17747524bd4e9af7f65f1d0283e8098e6

[ "Apache-2.0" ]

258

2021-09-04T14:01:13.000Z

2022-03-31T16:34:52.000Z

ark_nlp/processor/tokenizer/__init__.py

Zrealshadow/ark-nlp

159045d17747524bd4e9af7f65f1d0283e8098e6

[ "Apache-2.0" ]

17

2022-01-13T04:46:02.000Z

2022-03-31T16:34:07.000Z

ark_nlp/processor/tokenizer/__init__.py

Zrealshadow/ark-nlp

159045d17747524bd4e9af7f65f1d0283e8098e6

[ "Apache-2.0" ]

36

2021-11-17T06:18:45.000Z

2022-03-30T11:32:26.000Z

from ark_nlp.processor.tokenizer._tokenizer import BaseTokenizer

33

65

0.878788

8

66

7

0.875

0

0.075758

66

1

66

0.918033

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8abf9539bcd030271a0b06219cc53a1e22a22304

55,465

py

Python

sdk/python/pulumi_azure/iot/_inputs.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

sdk/python/pulumi_azure/iot/_inputs.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

sdk/python/pulumi_azure/iot/_inputs.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'IoTHubEndpointArgs', 'IoTHubEnrichmentArgs', 'IoTHubFallbackRouteArgs', 'IoTHubFileUploadArgs', 'IoTHubIpFilterRuleArgs', 'IoTHubRouteArgs', 'IoTHubSharedAccessPolicyArgs', 'IoTHubSkuArgs', 'IotHubDpsLinkedHubArgs', 'IotHubDpsSkuArgs', 'SecurityDeviceGroupAllowRuleArgs', 'SecurityDeviceGroupRangeRuleArgs', 'SecuritySolutionRecommendationsEnabledArgs', 'TimeSeriesInsightsGen2EnvironmentStorageArgs', 'TimeSeriesInsightsReferenceDataSetKeyPropertyArgs', ] @pulumi.input_type class IoTHubEndpointArgs: def __init__(__self__, *, connection_string: pulumi.Input[str], name: pulumi.Input[str], type: pulumi.Input[str], batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, container_name: Optional[pulumi.Input[str]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, resource_group_name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] connection_string: The connection string for the endpoint. :param pulumi.Input[str] name: The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. :param pulumi.Input[str] type: The type of the endpoint. Possible values are `AzureIotHub.StorageContainer`, `AzureIotHub.ServiceBusQueue`, `AzureIotHub.ServiceBusTopic` or `AzureIotHub.EventHub`. :param pulumi.Input[int] batch_frequency_in_seconds: Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. :param pulumi.Input[str] container_name: The name of storage container in the storage account. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. :param pulumi.Input[str] encoding: Encoding that is used to serialize messages to blobs. Supported values are 'avro' and 'avrodeflate'. Default value is 'avro'. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. :param pulumi.Input[str] file_name_format: File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. :param pulumi.Input[int] max_chunk_size_in_bytes: Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. :param pulumi.Input[str] resource_group_name: The resource group in which the endpoint will be created. """ pulumi.set(__self__, "connection_string", connection_string) pulumi.set(__self__, "name", name) pulumi.set(__self__, "type", type) if batch_frequency_in_seconds is not None: pulumi.set(__self__, "batch_frequency_in_seconds", batch_frequency_in_seconds) if container_name is not None: pulumi.set(__self__, "container_name", container_name) if encoding is not None: pulumi.set(__self__, "encoding", encoding) if file_name_format is not None: pulumi.set(__self__, "file_name_format", file_name_format) if max_chunk_size_in_bytes is not None: pulumi.set(__self__, "max_chunk_size_in_bytes", max_chunk_size_in_bytes) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) @property @pulumi.getter(name="connectionString") def connection_string(self) -> pulumi.Input[str]: """ The connection string for the endpoint. """ return pulumi.get(self, "connection_string") @connection_string.setter def connection_string(self, value: pulumi.Input[str]): pulumi.set(self, "connection_string", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ The type of the endpoint. Possible values are `AzureIotHub.StorageContainer`, `AzureIotHub.ServiceBusQueue`, `AzureIotHub.ServiceBusTopic` or `AzureIotHub.EventHub`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter(name="batchFrequencyInSeconds") def batch_frequency_in_seconds(self) -> Optional[pulumi.Input[int]]: """ Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. """ return pulumi.get(self, "batch_frequency_in_seconds") @batch_frequency_in_seconds.setter def batch_frequency_in_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_frequency_in_seconds", value) @property @pulumi.getter(name="containerName") def container_name(self) -> Optional[pulumi.Input[str]]: """ The name of storage container in the storage account. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. """ return pulumi.get(self, "container_name") @container_name.setter def container_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "container_name", value) @property @pulumi.getter def encoding(self) -> Optional[pulumi.Input[str]]: """ Encoding that is used to serialize messages to blobs. Supported values are 'avro' and 'avrodeflate'. Default value is 'avro'. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. """ return pulumi.get(self, "encoding") @encoding.setter def encoding(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encoding", value) @property @pulumi.getter(name="fileNameFormat") def file_name_format(self) -> Optional[pulumi.Input[str]]: """ File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. """ return pulumi.get(self, "file_name_format") @file_name_format.setter def file_name_format(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_name_format", value) @property @pulumi.getter(name="maxChunkSizeInBytes") def max_chunk_size_in_bytes(self) -> Optional[pulumi.Input[int]]: """ Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). This attribute is mandatory for endpoint type `AzureIotHub.StorageContainer`. """ return pulumi.get(self, "max_chunk_size_in_bytes") @max_chunk_size_in_bytes.setter def max_chunk_size_in_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_chunk_size_in_bytes", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The resource group in which the endpoint will be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @pulumi.input_type class IoTHubEnrichmentArgs: def __init__(__self__, *, endpoint_names: pulumi.Input[Sequence[pulumi.Input[str]]], key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] endpoint_names: The list of endpoints which will be enriched. :param pulumi.Input[str] key: The key of the enrichment. :param pulumi.Input[str] value: The value of the enrichment. Value can be any static string, the name of the IoT hub sending the message (use `$iothubname`) or information from the device twin (ex: `$twin.tags.latitude`) """ pulumi.set(__self__, "endpoint_names", endpoint_names) pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter(name="endpointNames") def endpoint_names(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The list of endpoints which will be enriched. """ return pulumi.get(self, "endpoint_names") @endpoint_names.setter def endpoint_names(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "endpoint_names", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The key of the enrichment. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The value of the enrichment. Value can be any static string, the name of the IoT hub sending the message (use `$iothubname`) or information from the device twin (ex: `$twin.tags.latitude`) """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class IoTHubFallbackRouteArgs: def __init__(__self__, *, condition: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, endpoint_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, source: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] condition: The condition that is evaluated to apply the routing rule. If no condition is provided, it evaluates to true by default. For grammar, see: https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-query-language. :param pulumi.Input[bool] enabled: Used to specify whether the fallback route is enabled. :param pulumi.Input[Sequence[pulumi.Input[str]]] endpoint_names: The endpoints to which messages that satisfy the condition are routed. Currently only 1 endpoint is allowed. :param pulumi.Input[str] source: The source that the routing rule is to be applied to, such as `DeviceMessages`. Possible values include: `RoutingSourceInvalid`, `RoutingSourceDeviceMessages`, `RoutingSourceTwinChangeEvents`, `RoutingSourceDeviceLifecycleEvents`, `RoutingSourceDeviceJobLifecycleEvents`. """ if condition is not None: pulumi.set(__self__, "condition", condition) if enabled is not None: pulumi.set(__self__, "enabled", enabled) if endpoint_names is not None: pulumi.set(__self__, "endpoint_names", endpoint_names) if source is not None: pulumi.set(__self__, "source", source) @property @pulumi.getter def condition(self) -> Optional[pulumi.Input[str]]: """ The condition that is evaluated to apply the routing rule. If no condition is provided, it evaluates to true by default. For grammar, see: https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-query-language. """ return pulumi.get(self, "condition") @condition.setter def condition(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "condition", value) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Used to specify whether the fallback route is enabled. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="endpointNames") def endpoint_names(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The endpoints to which messages that satisfy the condition are routed. Currently only 1 endpoint is allowed. """ return pulumi.get(self, "endpoint_names") @endpoint_names.setter def endpoint_names(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "endpoint_names", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ The source that the routing rule is to be applied to, such as `DeviceMessages`. Possible values include: `RoutingSourceInvalid`, `RoutingSourceDeviceMessages`, `RoutingSourceTwinChangeEvents`, `RoutingSourceDeviceLifecycleEvents`, `RoutingSourceDeviceJobLifecycleEvents`. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @pulumi.input_type class IoTHubFileUploadArgs: def __init__(__self__, *, connection_string: pulumi.Input[str], container_name: pulumi.Input[str], default_ttl: Optional[pulumi.Input[str]] = None, lock_duration: Optional[pulumi.Input[str]] = None, max_delivery_count: Optional[pulumi.Input[int]] = None, notifications: Optional[pulumi.Input[bool]] = None, sas_ttl: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] connection_string: The connection string for the Azure Storage account to which files are uploaded. :param pulumi.Input[str] container_name: The name of the root container where you upload files. The container need not exist but should be creatable using the connection_string specified. :param pulumi.Input[str] default_ttl: The period of time for which a file upload notification message is available to consume before it is expired by the IoT hub, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 1 minute and 48 hours, and evaluates to 'PT1H' by default. :param pulumi.Input[str] lock_duration: The lock duration for the file upload notifications queue, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 5 and 300 seconds, and evaluates to 'PT1M' by default. :param pulumi.Input[int] max_delivery_count: The number of times the IoT hub attempts to deliver a file upload notification message. It evaluates to 10 by default. :param pulumi.Input[bool] notifications: Used to specify whether file notifications are sent to IoT Hub on upload. It evaluates to false by default. :param pulumi.Input[str] sas_ttl: The period of time for which the SAS URI generated by IoT Hub for file upload is valid, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 1 minute and 24 hours, and evaluates to 'PT1H' by default. """ pulumi.set(__self__, "connection_string", connection_string) pulumi.set(__self__, "container_name", container_name) if default_ttl is not None: pulumi.set(__self__, "default_ttl", default_ttl) if lock_duration is not None: pulumi.set(__self__, "lock_duration", lock_duration) if max_delivery_count is not None: pulumi.set(__self__, "max_delivery_count", max_delivery_count) if notifications is not None: pulumi.set(__self__, "notifications", notifications) if sas_ttl is not None: pulumi.set(__self__, "sas_ttl", sas_ttl) @property @pulumi.getter(name="connectionString") def connection_string(self) -> pulumi.Input[str]: """ The connection string for the Azure Storage account to which files are uploaded. """ return pulumi.get(self, "connection_string") @connection_string.setter def connection_string(self, value: pulumi.Input[str]): pulumi.set(self, "connection_string", value) @property @pulumi.getter(name="containerName") def container_name(self) -> pulumi.Input[str]: """ The name of the root container where you upload files. The container need not exist but should be creatable using the connection_string specified. """ return pulumi.get(self, "container_name") @container_name.setter def container_name(self, value: pulumi.Input[str]): pulumi.set(self, "container_name", value) @property @pulumi.getter(name="defaultTtl") def default_ttl(self) -> Optional[pulumi.Input[str]]: """ The period of time for which a file upload notification message is available to consume before it is expired by the IoT hub, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 1 minute and 48 hours, and evaluates to 'PT1H' by default. """ return pulumi.get(self, "default_ttl") @default_ttl.setter def default_ttl(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "default_ttl", value) @property @pulumi.getter(name="lockDuration") def lock_duration(self) -> Optional[pulumi.Input[str]]: """ The lock duration for the file upload notifications queue, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 5 and 300 seconds, and evaluates to 'PT1M' by default. """ return pulumi.get(self, "lock_duration") @lock_duration.setter def lock_duration(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "lock_duration", value) @property @pulumi.getter(name="maxDeliveryCount") def max_delivery_count(self) -> Optional[pulumi.Input[int]]: """ The number of times the IoT hub attempts to deliver a file upload notification message. It evaluates to 10 by default. """ return pulumi.get(self, "max_delivery_count") @max_delivery_count.setter def max_delivery_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_delivery_count", value) @property @pulumi.getter def notifications(self) -> Optional[pulumi.Input[bool]]: """ Used to specify whether file notifications are sent to IoT Hub on upload. It evaluates to false by default. """ return pulumi.get(self, "notifications") @notifications.setter def notifications(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "notifications", value) @property @pulumi.getter(name="sasTtl") def sas_ttl(self) -> Optional[pulumi.Input[str]]: """ The period of time for which the SAS URI generated by IoT Hub for file upload is valid, specified as an [ISO 8601 timespan duration](https://en.wikipedia.org/wiki/ISO_8601#Durations). This value must be between 1 minute and 24 hours, and evaluates to 'PT1H' by default. """ return pulumi.get(self, "sas_ttl") @sas_ttl.setter def sas_ttl(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sas_ttl", value) @pulumi.input_type class IoTHubIpFilterRuleArgs: def __init__(__self__, *, action: pulumi.Input[str], ip_mask: pulumi.Input[str], name: pulumi.Input[str]): """ :param pulumi.Input[str] action: The desired action for requests captured by this rule. Possible values are `Accept`, `Reject` :param pulumi.Input[str] ip_mask: The IP address range in CIDR notation for the rule. :param pulumi.Input[str] name: The name of the filter. """ pulumi.set(__self__, "action", action) pulumi.set(__self__, "ip_mask", ip_mask) pulumi.set(__self__, "name", name) @property @pulumi.getter def action(self) -> pulumi.Input[str]: """ The desired action for requests captured by this rule. Possible values are `Accept`, `Reject` """ return pulumi.get(self, "action") @action.setter def action(self, value: pulumi.Input[str]): pulumi.set(self, "action", value) @property @pulumi.getter(name="ipMask") def ip_mask(self) -> pulumi.Input[str]: """ The IP address range in CIDR notation for the rule. """ return pulumi.get(self, "ip_mask") @ip_mask.setter def ip_mask(self, value: pulumi.Input[str]): pulumi.set(self, "ip_mask", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the filter. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class IoTHubRouteArgs: def __init__(__self__, *, enabled: pulumi.Input[bool], endpoint_names: pulumi.Input[Sequence[pulumi.Input[str]]], name: pulumi.Input[str], source: pulumi.Input[str], condition: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[bool] enabled: Used to specify whether a route is enabled. :param pulumi.Input[Sequence[pulumi.Input[str]]] endpoint_names: The list of endpoints to which messages that satisfy the condition are routed. :param pulumi.Input[str] name: The name of the route. :param pulumi.Input[str] source: The source that the routing rule is to be applied to, such as `DeviceMessages`. Possible values include: `RoutingSourceInvalid`, `RoutingSourceDeviceMessages`, `RoutingSourceTwinChangeEvents`, `RoutingSourceDeviceLifecycleEvents`, `RoutingSourceDeviceJobLifecycleEvents`. :param pulumi.Input[str] condition: The condition that is evaluated to apply the routing rule. If no condition is provided, it evaluates to true by default. For grammar, see: https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-query-language. """ pulumi.set(__self__, "enabled", enabled) pulumi.set(__self__, "endpoint_names", endpoint_names) pulumi.set(__self__, "name", name) pulumi.set(__self__, "source", source) if condition is not None: pulumi.set(__self__, "condition", condition) @property @pulumi.getter def enabled(self) -> pulumi.Input[bool]: """ Used to specify whether a route is enabled. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: pulumi.Input[bool]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="endpointNames") def endpoint_names(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The list of endpoints to which messages that satisfy the condition are routed. """ return pulumi.get(self, "endpoint_names") @endpoint_names.setter def endpoint_names(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "endpoint_names", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the route. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def source(self) -> pulumi.Input[str]: """ The source that the routing rule is to be applied to, such as `DeviceMessages`. Possible values include: `RoutingSourceInvalid`, `RoutingSourceDeviceMessages`, `RoutingSourceTwinChangeEvents`, `RoutingSourceDeviceLifecycleEvents`, `RoutingSourceDeviceJobLifecycleEvents`. """ return pulumi.get(self, "source") @source.setter def source(self, value: pulumi.Input[str]): pulumi.set(self, "source", value) @property @pulumi.getter def condition(self) -> Optional[pulumi.Input[str]]: """ The condition that is evaluated to apply the routing rule. If no condition is provided, it evaluates to true by default. For grammar, see: https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-query-language. """ return pulumi.get(self, "condition") @condition.setter def condition(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "condition", value) @pulumi.input_type class IoTHubSharedAccessPolicyArgs: def __init__(__self__, *, key_name: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, primary_key: Optional[pulumi.Input[str]] = None, secondary_key: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] key_name: The name of the shared access policy. :param pulumi.Input[str] permissions: The permissions assigned to the shared access policy. :param pulumi.Input[str] primary_key: The primary key. :param pulumi.Input[str] secondary_key: The secondary key. """ if key_name is not None: pulumi.set(__self__, "key_name", key_name) if permissions is not None: pulumi.set(__self__, "permissions", permissions) if primary_key is not None: pulumi.set(__self__, "primary_key", primary_key) if secondary_key is not None: pulumi.set(__self__, "secondary_key", secondary_key) @property @pulumi.getter(name="keyName") def key_name(self) -> Optional[pulumi.Input[str]]: """ The name of the shared access policy. """ return pulumi.get(self, "key_name") @key_name.setter def key_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key_name", value) @property @pulumi.getter def permissions(self) -> Optional[pulumi.Input[str]]: """ The permissions assigned to the shared access policy. """ return pulumi.get(self, "permissions") @permissions.setter def permissions(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "permissions", value) @property @pulumi.getter(name="primaryKey") def primary_key(self) -> Optional[pulumi.Input[str]]: """ The primary key. """ return pulumi.get(self, "primary_key") @primary_key.setter def primary_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "primary_key", value) @property @pulumi.getter(name="secondaryKey") def secondary_key(self) -> Optional[pulumi.Input[str]]: """ The secondary key. """ return pulumi.get(self, "secondary_key") @secondary_key.setter def secondary_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secondary_key", value) @pulumi.input_type class IoTHubSkuArgs: def __init__(__self__, *, capacity: pulumi.Input[int], name: pulumi.Input[str]): """ :param pulumi.Input[int] capacity: The number of provisioned IoT Hub units. :param pulumi.Input[str] name: The name of the sku. Possible values are `B1`, `B2`, `B3`, `F1`, `S1`, `S2`, and `S3`. """ pulumi.set(__self__, "capacity", capacity) pulumi.set(__self__, "name", name) @property @pulumi.getter def capacity(self) -> pulumi.Input[int]: """ The number of provisioned IoT Hub units. """ return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: pulumi.Input[int]): pulumi.set(self, "capacity", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the sku. Possible values are `B1`, `B2`, `B3`, `F1`, `S1`, `S2`, and `S3`. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class IotHubDpsLinkedHubArgs: def __init__(__self__, *, connection_string: pulumi.Input[str], location: pulumi.Input[str], allocation_weight: Optional[pulumi.Input[int]] = None, apply_allocation_policy: Optional[pulumi.Input[bool]] = None, hostname: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] connection_string: The connection string to connect to the IoT Hub. Changing this forces a new resource. :param pulumi.Input[str] location: The location of the IoT hub. Changing this forces a new resource. :param pulumi.Input[int] allocation_weight: The weight applied to the IoT Hub. Defaults to 0. :param pulumi.Input[bool] apply_allocation_policy: Determines whether to apply allocation policies to the IoT Hub. Defaults to false. :param pulumi.Input[str] hostname: The IoT Hub hostname. """ pulumi.set(__self__, "connection_string", connection_string) pulumi.set(__self__, "location", location) if allocation_weight is not None: pulumi.set(__self__, "allocation_weight", allocation_weight) if apply_allocation_policy is not None: pulumi.set(__self__, "apply_allocation_policy", apply_allocation_policy) if hostname is not None: pulumi.set(__self__, "hostname", hostname) @property @pulumi.getter(name="connectionString") def connection_string(self) -> pulumi.Input[str]: """ The connection string to connect to the IoT Hub. Changing this forces a new resource. """ return pulumi.get(self, "connection_string") @connection_string.setter def connection_string(self, value: pulumi.Input[str]): pulumi.set(self, "connection_string", value) @property @pulumi.getter def location(self) -> pulumi.Input[str]: """ The location of the IoT hub. Changing this forces a new resource. """ return pulumi.get(self, "location") @location.setter def location(self, value: pulumi.Input[str]): pulumi.set(self, "location", value) @property @pulumi.getter(name="allocationWeight") def allocation_weight(self) -> Optional[pulumi.Input[int]]: """ The weight applied to the IoT Hub. Defaults to 0. """ return pulumi.get(self, "allocation_weight") @allocation_weight.setter def allocation_weight(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "allocation_weight", value) @property @pulumi.getter(name="applyAllocationPolicy") def apply_allocation_policy(self) -> Optional[pulumi.Input[bool]]: """ Determines whether to apply allocation policies to the IoT Hub. Defaults to false. """ return pulumi.get(self, "apply_allocation_policy") @apply_allocation_policy.setter def apply_allocation_policy(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "apply_allocation_policy", value) @property @pulumi.getter def hostname(self) -> Optional[pulumi.Input[str]]: """ The IoT Hub hostname. """ return pulumi.get(self, "hostname") @hostname.setter def hostname(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "hostname", value) @pulumi.input_type class IotHubDpsSkuArgs: def __init__(__self__, *, capacity: pulumi.Input[int], name: pulumi.Input[str]): """ :param pulumi.Input[int] capacity: The number of provisioned IoT Device Provisioning Service units. :param pulumi.Input[str] name: The name of the sku. Currently can only be set to `S1`. """ pulumi.set(__self__, "capacity", capacity) pulumi.set(__self__, "name", name) @property @pulumi.getter def capacity(self) -> pulumi.Input[int]: """ The number of provisioned IoT Device Provisioning Service units. """ return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: pulumi.Input[int]): pulumi.set(self, "capacity", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the sku. Currently can only be set to `S1`. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class SecurityDeviceGroupAllowRuleArgs: def __init__(__self__, *, connection_to_ip_not_alloweds: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, local_user_not_alloweds: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, process_not_alloweds: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] connection_to_ip_not_alloweds: Specifies which Ip is not allowed to be connected to in current device group. :param pulumi.Input[Sequence[pulumi.Input[str]]] local_user_not_alloweds: Specifies which local user is not allowed to Login in current device group. :param pulumi.Input[Sequence[pulumi.Input[str]]] process_not_alloweds: Specifies which process is not allowed to be executed in current device group. """ if connection_to_ip_not_alloweds is not None: pulumi.set(__self__, "connection_to_ip_not_alloweds", connection_to_ip_not_alloweds) if local_user_not_alloweds is not None: pulumi.set(__self__, "local_user_not_alloweds", local_user_not_alloweds) if process_not_alloweds is not None: pulumi.set(__self__, "process_not_alloweds", process_not_alloweds) @property @pulumi.getter(name="connectionToIpNotAlloweds") def connection_to_ip_not_alloweds(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specifies which Ip is not allowed to be connected to in current device group. """ return pulumi.get(self, "connection_to_ip_not_alloweds") @connection_to_ip_not_alloweds.setter def connection_to_ip_not_alloweds(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "connection_to_ip_not_alloweds", value) @property @pulumi.getter(name="localUserNotAlloweds") def local_user_not_alloweds(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specifies which local user is not allowed to Login in current device group. """ return pulumi.get(self, "local_user_not_alloweds") @local_user_not_alloweds.setter def local_user_not_alloweds(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "local_user_not_alloweds", value) @property @pulumi.getter(name="processNotAlloweds") def process_not_alloweds(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specifies which process is not allowed to be executed in current device group. """ return pulumi.get(self, "process_not_alloweds") @process_not_alloweds.setter def process_not_alloweds(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "process_not_alloweds", value) @pulumi.input_type class SecurityDeviceGroupRangeRuleArgs: def __init__(__self__, *, duration: pulumi.Input[str], max: pulumi.Input[int], min: pulumi.Input[int], type: pulumi.Input[str]): """ :param pulumi.Input[str] duration: Specifies the time range. represented in ISO 8601 duration format. :param pulumi.Input[int] max: The maximum threshold in the given time window. :param pulumi.Input[int] min: The minimum threshold in the given time window. :param pulumi.Input[str] type: The type of supported rule type. Possible Values are `ActiveConnectionsNotInAllowedRange`, `AmqpC2DMessagesNotInAllowedRange`, `MqttC2DMessagesNotInAllowedRange`, `HttpC2DMessagesNotInAllowedRange`, `AmqpC2DRejectedMessagesNotInAllowedRange`, `MqttC2DRejectedMessagesNotInAllowedRange`, `HttpC2DRejectedMessagesNotInAllowedRange`, `AmqpD2CMessagesNotInAllowedRange`, `MqttD2CMessagesNotInAllowedRange`, `HttpD2CMessagesNotInAllowedRange`, `DirectMethodInvokesNotInAllowedRange`, `FailedLocalLoginsNotInAllowedRange`, `FileUploadsNotInAllowedRange`, `QueuePurgesNotInAllowedRange`, `TwinUpdatesNotInAllowedRange` and `UnauthorizedOperationsNotInAllowedRange`. """ pulumi.set(__self__, "duration", duration) pulumi.set(__self__, "max", max) pulumi.set(__self__, "min", min) pulumi.set(__self__, "type", type) @property @pulumi.getter def duration(self) -> pulumi.Input[str]: """ Specifies the time range. represented in ISO 8601 duration format. """ return pulumi.get(self, "duration") @duration.setter def duration(self, value: pulumi.Input[str]): pulumi.set(self, "duration", value) @property @pulumi.getter def max(self) -> pulumi.Input[int]: """ The maximum threshold in the given time window. """ return pulumi.get(self, "max") @max.setter def max(self, value: pulumi.Input[int]): pulumi.set(self, "max", value) @property @pulumi.getter def min(self) -> pulumi.Input[int]: """ The minimum threshold in the given time window. """ return pulumi.get(self, "min") @min.setter def min(self, value: pulumi.Input[int]): pulumi.set(self, "min", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ The type of supported rule type. Possible Values are `ActiveConnectionsNotInAllowedRange`, `AmqpC2DMessagesNotInAllowedRange`, `MqttC2DMessagesNotInAllowedRange`, `HttpC2DMessagesNotInAllowedRange`, `AmqpC2DRejectedMessagesNotInAllowedRange`, `MqttC2DRejectedMessagesNotInAllowedRange`, `HttpC2DRejectedMessagesNotInAllowedRange`, `AmqpD2CMessagesNotInAllowedRange`, `MqttD2CMessagesNotInAllowedRange`, `HttpD2CMessagesNotInAllowedRange`, `DirectMethodInvokesNotInAllowedRange`, `FailedLocalLoginsNotInAllowedRange`, `FileUploadsNotInAllowedRange`, `QueuePurgesNotInAllowedRange`, `TwinUpdatesNotInAllowedRange` and `UnauthorizedOperationsNotInAllowedRange`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @pulumi.input_type class SecuritySolutionRecommendationsEnabledArgs: def __init__(__self__, *, acr_authentication: Optional[pulumi.Input[bool]] = None, agent_send_unutilized_msg: Optional[pulumi.Input[bool]] = None, baseline: Optional[pulumi.Input[bool]] = None, edge_hub_mem_optimize: Optional[pulumi.Input[bool]] = None, edge_logging_option: Optional[pulumi.Input[bool]] = None, inconsistent_module_settings: Optional[pulumi.Input[bool]] = None, install_agent: Optional[pulumi.Input[bool]] = None, ip_filter_deny_all: Optional[pulumi.Input[bool]] = None, ip_filter_permissive_rule: Optional[pulumi.Input[bool]] = None, open_ports: Optional[pulumi.Input[bool]] = None, permissive_firewall_policy: Optional[pulumi.Input[bool]] = None, permissive_input_firewall_rules: Optional[pulumi.Input[bool]] = None, permissive_output_firewall_rules: Optional[pulumi.Input[bool]] = None, privileged_docker_options: Optional[pulumi.Input[bool]] = None, shared_credentials: Optional[pulumi.Input[bool]] = None, vulnerable_tls_cipher_suite: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[bool] acr_authentication: Is Principal Authentication enabled for the ACR repository? Defaults to `true`. :param pulumi.Input[bool] agent_send_unutilized_msg: Is Agent send underutilized messages enabled? Defaults to `true`. :param pulumi.Input[bool] baseline: Is Security related system configuration issues identified? Defaults to `true`. :param pulumi.Input[bool] edge_hub_mem_optimize: Is IoT Edge Hub memory optimized? Defaults to `true`. :param pulumi.Input[bool] edge_logging_option: Is logging configured for IoT Edge module? Defaults to `true`. :param pulumi.Input[bool] inconsistent_module_settings: Is inconsistent module settings enabled for SecurityGroup? Defaults to `true`. :param pulumi.Input[bool] install_agent: is Azure IoT Security agent installed? Defaults to `true`. :param pulumi.Input[bool] ip_filter_deny_all: Is Default IP filter policy denied? Defaults to `true`. :param pulumi.Input[bool] ip_filter_permissive_rule: Is IP filter rule source allowable IP range too large? Defaults to `true`. :param pulumi.Input[bool] open_ports: Is any ports open on the device? Defaults to `true`. :param pulumi.Input[bool] permissive_firewall_policy: Does firewall policy exist which allow necessary communication to/from the device? Defaults to `true`. :param pulumi.Input[bool] permissive_input_firewall_rules: Is only necessary addresses or ports are permitted in? Defaults to `true`. :param pulumi.Input[bool] permissive_output_firewall_rules: Is only necessary addresses or ports are permitted out? Defaults to `true`. :param pulumi.Input[bool] privileged_docker_options: Is high level permissions are needed for the module? Defaults to `true`. :param pulumi.Input[bool] shared_credentials: Is any credentials shared among devices? Defaults to `true`. :param pulumi.Input[bool] vulnerable_tls_cipher_suite: Does TLS cipher suite need to be updated? Defaults to `true`. """ if acr_authentication is not None: pulumi.set(__self__, "acr_authentication", acr_authentication) if agent_send_unutilized_msg is not None: pulumi.set(__self__, "agent_send_unutilized_msg", agent_send_unutilized_msg) if baseline is not None: pulumi.set(__self__, "baseline", baseline) if edge_hub_mem_optimize is not None: pulumi.set(__self__, "edge_hub_mem_optimize", edge_hub_mem_optimize) if edge_logging_option is not None: pulumi.set(__self__, "edge_logging_option", edge_logging_option) if inconsistent_module_settings is not None: pulumi.set(__self__, "inconsistent_module_settings", inconsistent_module_settings) if install_agent is not None: pulumi.set(__self__, "install_agent", install_agent) if ip_filter_deny_all is not None: pulumi.set(__self__, "ip_filter_deny_all", ip_filter_deny_all) if ip_filter_permissive_rule is not None: pulumi.set(__self__, "ip_filter_permissive_rule", ip_filter_permissive_rule) if open_ports is not None: pulumi.set(__self__, "open_ports", open_ports) if permissive_firewall_policy is not None: pulumi.set(__self__, "permissive_firewall_policy", permissive_firewall_policy) if permissive_input_firewall_rules is not None: pulumi.set(__self__, "permissive_input_firewall_rules", permissive_input_firewall_rules) if permissive_output_firewall_rules is not None: pulumi.set(__self__, "permissive_output_firewall_rules", permissive_output_firewall_rules) if privileged_docker_options is not None: pulumi.set(__self__, "privileged_docker_options", privileged_docker_options) if shared_credentials is not None: pulumi.set(__self__, "shared_credentials", shared_credentials) if vulnerable_tls_cipher_suite is not None: pulumi.set(__self__, "vulnerable_tls_cipher_suite", vulnerable_tls_cipher_suite) @property @pulumi.getter(name="acrAuthentication") def acr_authentication(self) -> Optional[pulumi.Input[bool]]: """ Is Principal Authentication enabled for the ACR repository? Defaults to `true`. """ return pulumi.get(self, "acr_authentication") @acr_authentication.setter def acr_authentication(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "acr_authentication", value) @property @pulumi.getter(name="agentSendUnutilizedMsg") def agent_send_unutilized_msg(self) -> Optional[pulumi.Input[bool]]: """ Is Agent send underutilized messages enabled? Defaults to `true`. """ return pulumi.get(self, "agent_send_unutilized_msg") @agent_send_unutilized_msg.setter def agent_send_unutilized_msg(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "agent_send_unutilized_msg", value) @property @pulumi.getter def baseline(self) -> Optional[pulumi.Input[bool]]: """ Is Security related system configuration issues identified? Defaults to `true`. """ return pulumi.get(self, "baseline") @baseline.setter def baseline(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "baseline", value) @property @pulumi.getter(name="edgeHubMemOptimize") def edge_hub_mem_optimize(self) -> Optional[pulumi.Input[bool]]: """ Is IoT Edge Hub memory optimized? Defaults to `true`. """ return pulumi.get(self, "edge_hub_mem_optimize") @edge_hub_mem_optimize.setter def edge_hub_mem_optimize(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "edge_hub_mem_optimize", value) @property @pulumi.getter(name="edgeLoggingOption") def edge_logging_option(self) -> Optional[pulumi.Input[bool]]: """ Is logging configured for IoT Edge module? Defaults to `true`. """ return pulumi.get(self, "edge_logging_option") @edge_logging_option.setter def edge_logging_option(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "edge_logging_option", value) @property @pulumi.getter(name="inconsistentModuleSettings") def inconsistent_module_settings(self) -> Optional[pulumi.Input[bool]]: """ Is inconsistent module settings enabled for SecurityGroup? Defaults to `true`. """ return pulumi.get(self, "inconsistent_module_settings") @inconsistent_module_settings.setter def inconsistent_module_settings(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "inconsistent_module_settings", value) @property @pulumi.getter(name="installAgent") def install_agent(self) -> Optional[pulumi.Input[bool]]: """ is Azure IoT Security agent installed? Defaults to `true`. """ return pulumi.get(self, "install_agent") @install_agent.setter def install_agent(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "install_agent", value) @property @pulumi.getter(name="ipFilterDenyAll") def ip_filter_deny_all(self) -> Optional[pulumi.Input[bool]]: """ Is Default IP filter policy denied? Defaults to `true`. """ return pulumi.get(self, "ip_filter_deny_all") @ip_filter_deny_all.setter def ip_filter_deny_all(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ip_filter_deny_all", value) @property @pulumi.getter(name="ipFilterPermissiveRule") def ip_filter_permissive_rule(self) -> Optional[pulumi.Input[bool]]: """ Is IP filter rule source allowable IP range too large? Defaults to `true`. """ return pulumi.get(self, "ip_filter_permissive_rule") @ip_filter_permissive_rule.setter def ip_filter_permissive_rule(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ip_filter_permissive_rule", value) @property @pulumi.getter(name="openPorts") def open_ports(self) -> Optional[pulumi.Input[bool]]: """ Is any ports open on the device? Defaults to `true`. """ return pulumi.get(self, "open_ports") @open_ports.setter def open_ports(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "open_ports", value) @property @pulumi.getter(name="permissiveFirewallPolicy") def permissive_firewall_policy(self) -> Optional[pulumi.Input[bool]]: """ Does firewall policy exist which allow necessary communication to/from the device? Defaults to `true`. """ return pulumi.get(self, "permissive_firewall_policy") @permissive_firewall_policy.setter def permissive_firewall_policy(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "permissive_firewall_policy", value) @property @pulumi.getter(name="permissiveInputFirewallRules") def permissive_input_firewall_rules(self) -> Optional[pulumi.Input[bool]]: """ Is only necessary addresses or ports are permitted in? Defaults to `true`. """ return pulumi.get(self, "permissive_input_firewall_rules") @permissive_input_firewall_rules.setter def permissive_input_firewall_rules(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "permissive_input_firewall_rules", value) @property @pulumi.getter(name="permissiveOutputFirewallRules") def permissive_output_firewall_rules(self) -> Optional[pulumi.Input[bool]]: """ Is only necessary addresses or ports are permitted out? Defaults to `true`. """ return pulumi.get(self, "permissive_output_firewall_rules") @permissive_output_firewall_rules.setter def permissive_output_firewall_rules(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "permissive_output_firewall_rules", value) @property @pulumi.getter(name="privilegedDockerOptions") def privileged_docker_options(self) -> Optional[pulumi.Input[bool]]: """ Is high level permissions are needed for the module? Defaults to `true`. """ return pulumi.get(self, "privileged_docker_options") @privileged_docker_options.setter def privileged_docker_options(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "privileged_docker_options", value) @property @pulumi.getter(name="sharedCredentials") def shared_credentials(self) -> Optional[pulumi.Input[bool]]: """ Is any credentials shared among devices? Defaults to `true`. """ return pulumi.get(self, "shared_credentials") @shared_credentials.setter def shared_credentials(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "shared_credentials", value) @property @pulumi.getter(name="vulnerableTlsCipherSuite") def vulnerable_tls_cipher_suite(self) -> Optional[pulumi.Input[bool]]: """ Does TLS cipher suite need to be updated? Defaults to `true`. """ return pulumi.get(self, "vulnerable_tls_cipher_suite") @vulnerable_tls_cipher_suite.setter def vulnerable_tls_cipher_suite(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "vulnerable_tls_cipher_suite", value) @pulumi.input_type class TimeSeriesInsightsGen2EnvironmentStorageArgs: def __init__(__self__, *, key: pulumi.Input[str], name: pulumi.Input[str]): """ :param pulumi.Input[str] key: Access key of storage account for Azure IoT Time Series Insights Gen2 Environment :param pulumi.Input[str] name: Name of storage account for Azure IoT Time Series Insights Gen2 Environment """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "name", name) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ Access key of storage account for Azure IoT Time Series Insights Gen2 Environment """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ Name of storage account for Azure IoT Time Series Insights Gen2 Environment """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class TimeSeriesInsightsReferenceDataSetKeyPropertyArgs: def __init__(__self__, *, name: pulumi.Input[str], type: pulumi.Input[str]): """ :param pulumi.Input[str] name: The name of the key property. Changing this forces a new resource to be created. :param pulumi.Input[str] type: The data type of the key property. Valid values include `Bool`, `DateTime`, `Double`, `String`. Changing this forces a new resource to be created. """ pulumi.set(__self__, "name", name) pulumi.set(__self__, "type", type) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the key property. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ The data type of the key property. Valid values include `Bool`, `DateTime`, `Double`, `String`. Changing this forces a new resource to be created. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value)

44.693795

697

0.675237

6,630

55,465

5.474661

0.067873

0.097887

0.066342

0.037166

0.868915

0.774692

0.714935

0.6573

0.612007

0.525718

0

0.004961

0.21857

55,465

1,240

698

44.729839

0.832495

0.334175

0

0.419786

1

0

0.111539

0.047914

0

1

0.209893

false

0

0.006684

0

0.331551

0

null

0

1

0

1

0

null

0

1

0

5

8ad640cb5196aa8c01bb8185c38eb42b210b240a

63

py

Python

run.py

surbina/devaluometro

2632fcd352a062dd700abdd70d3837d8b3cfbed6

[ "MIT" ]

null

run.py

surbina/devaluometro

2632fcd352a062dd700abdd70d3837d8b3cfbed6

[ "MIT" ]

null

run.py

surbina/devaluometro

2632fcd352a062dd700abdd70d3837d8b3cfbed6

[ "MIT" ]

null

from server.app.App import app app.run(port=5000, debug=True)

15.75

30

0.761905

12

63

4

0.75

0.25

0

0.071429

0.111111

63

3

31

21

0.785714

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

76d0b57a96af8e94256f736b63d48c22ce9657c6

4,367

py

Python

raymon/tests/profiling/test_buildable.py

pbonte/raymon

83912d7a5ff22d61289688828169a7178fa34a2d

[ "MIT" ]

null

raymon/tests/profiling/test_buildable.py

pbonte/raymon

83912d7a5ff22d61289688828169a7178fa34a2d

[ "MIT" ]

null

raymon/tests/profiling/test_buildable.py

pbonte/raymon

83912d7a5ff22d61289688828169a7178fa34a2d

[ "MIT" ]

null

from raymon.profiling.components import DataType import pytest import json from raymon import ModelProfile from raymon import InputComponent from raymon import IntStats, FloatStats, CategoricStats from raymon.profiling.extractors.vision.similarity import FixedSubpatchSimilarity def test_stats_none(): stats = FloatStats() jcr = stats.to_jcr() for attr in FloatStats._attrs: assert jcr["state"][attr] is None def test_stats_partial_none(): params = dict(min=0, max=1, mean=0.5, std=0.02, invalids=0.1, percentiles=list(range(101)), samplesize=10) stats = FloatStats(**params) jcr = stats.to_jcr() for attr in FloatStats._attrs: assert jcr["state"][attr] == params[attr] def test_num_stats_build(): stats = FloatStats() assert not stats.is_built() stats = FloatStats( min=0, max=1, mean=0.5, std=0.02, ) assert not stats.is_built() stats = FloatStats(min=0, max=1, mean=0.5, percentiles=range(101), invalids=0) assert not stats.is_built() stats = FloatStats(min=0, max=1, std=0.02, percentiles=range(101), invalids=0) assert not stats.is_built() stats = FloatStats(min=0, mean=0.5, std=0.02, percentiles=range(101), invalids=0) assert not stats.is_built() stats = FloatStats(max=1, mean=0.5, std=0.02, percentiles=range(101), invalids=0) assert not stats.is_built() stats = FloatStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101)) assert not stats.is_built() stats = FloatStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), invalids=0, samplesize=10) assert stats.is_built() def test_cat_stats_build(): stats = CategoricStats() assert not stats.is_built() stats = CategoricStats(frequencies={"a": 0.5, "b": 0.5}, invalids=0.1) assert not stats.is_built() stats = CategoricStats(frequencies={"a": 0.5, "b": 0.5}, samplesize=10) assert not stats.is_built() stats = CategoricStats(invalids=0.1, samplesize=10) assert not stats.is_built() stats = CategoricStats(frequencies={"a": 0.5, "b": 0.5}, invalids=0.1, samplesize=10) assert stats.is_built() def test_subpatchsimilarity_extractor_buildable(): with pytest.raises(ValueError): extractor = FixedSubpatchSimilarity(patch=None) extractor = FixedSubpatchSimilarity(patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}) assert not extractor.is_built() extractor = FixedSubpatchSimilarity( patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1 ) assert extractor.is_built() def test_component_buildable(): extractor = FixedSubpatchSimilarity( patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1 ) stats = FloatStats(min=0, max=1) component = InputComponent(name="testcomponent", extractor=extractor, stats=stats, dtype=DataType.FLOAT) assert not stats.is_built() assert extractor.is_built() assert not component.is_built() extractor = FixedSubpatchSimilarity( patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1 ) stats = FloatStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), invalids=0, samplesize=10) component = InputComponent(name="testcomponent", extractor=extractor, stats=stats, dtype=DataType.FLOAT) assert stats.is_built() assert extractor.is_built() assert component.is_built() def test_schema_buildable(): extractor = FixedSubpatchSimilarity( patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1 ) stats = FloatStats(min=0, max=1) component = InputComponent(name="testcomponent", extractor=extractor, stats=stats, dtype=DataType.FLOAT) schema = ModelProfile(name="Testing", version="1.0.0", components=[component]) assert not schema.is_built() extractor = FixedSubpatchSimilarity( patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1 ) stats = FloatStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), invalids=0, samplesize=10) component = InputComponent(name="testcomponent", extractor=extractor, stats=stats, dtype=DataType.FLOAT) schema = ModelProfile(name="Testing", version="1.0.0", components=[component, component]) assert schema.is_built()

38.646018

110

0.680559

588

4,367

4.977891

0.134354

0.055005

0.061496

0.065596

0.760506

0.759481

0.756064

0.70755

0.685685

0

0.067975

0.171285

4,367

112

111

38.991071

0.740812

0

0.467391

0

0.050378

0

0.271739

1

0.076087

false

0

0.076087

0

0.152174

0

null

0

1

0

null

0

5

76f51d1c90ba4437817019482b0e53e65e43bbb0

1,074

py

Python

torabot/core/backends/base.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

42

2015-01-20T10:45:08.000Z

2021-04-17T05:10:27.000Z

torabot/core/backends/base.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

4

2015-01-23T05:40:44.000Z

2016-12-19T03:52:20.000Z

torabot/core/backends/base.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

8

2015-05-07T03:51:05.000Z

2019-03-20T05:40:47.000Z

import abc class Backend(metaclass=abc.ABCMeta): @abc.abstractmethod def has_query_bi_kind_and_text(self, kind, text): pass def has_filled_query_bi_kind_and_text(self, kind, text): q = self.get_query_bi_kind_and_text(kind, text) return bool(q and q.result) @abc.abstractmethod def get_query_bi_kind_and_text(self, kind, text): pass @abc.abstractmethod def set_next_sync_time_bi_kind_and_text(self, kind, text, time): pass @abc.abstractmethod def get_or_add_query_bi_kind_and_text(self, kind, text): pass @abc.abstractmethod def touch_query_bi_id(self, id): pass @abc.abstractmethod def add_one_query_changes(self, id, changes): pass @abc.abstractmethod def set_query_result(self, id, result): pass @abc.abstractmethod def is_query_active_bi_id(self, id): pass @abc.abstractmethod def set_next_sync_time(self, id, time): pass @abc.abstractmethod def get_query_bi_id(self, id): pass

21.918367

68

0.671322

154

1,074

4.337662

0.220779

0.254491

0.299401

0.287425

0.676647

0.636228

0.441617

0.404192

0.212575

0.161677

0

0.248603

1,074

48

69

22.375

0.827757

0

0.571429

0

1

0.314286

false

0.285714

0.028571

0

0.4

0

null

1

0

null

0

1

0

1

0

5

76fcbb07e1723645b2f7bc0ac1e119337fc978cb

17,593

py

Python

tensorflow/python/keras/layers/lstm_test.py

fraudies/tensorflow

a42423e302b71893bbd24aa896869941013c07fb

[ "Apache-2.0" ]

null

tensorflow/python/keras/layers/lstm_test.py

fraudies/tensorflow

a42423e302b71893bbd24aa896869941013c07fb

[ "Apache-2.0" ]

null

tensorflow/python/keras/layers/lstm_test.py

fraudies/tensorflow

a42423e302b71893bbd24aa896869941013c07fb

[ "Apache-2.0" ]

null

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for LSTM layer.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from tensorflow.python import keras from tensorflow.python.eager import context from tensorflow.python.keras import keras_parameterized from tensorflow.python.keras import testing_utils from tensorflow.python.platform import test from tensorflow.python.training import adam from tensorflow.python.training import gradient_descent class LSTMLayerTest(test.TestCase): @tf_test_util.run_in_graph_and_eager_modes def test_return_sequences_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 testing_utils.layer_test( keras.layers.LSTM, kwargs={'units': units, 'return_sequences': True}, input_shape=(num_samples, timesteps, embedding_dim)) def test_static_shape_inference_LSTM(self): # Github issue: 15165 timesteps = 3 embedding_dim = 4 units = 2 model = keras.models.Sequential() inputs = keras.layers.Dense(embedding_dim, input_shape=(timesteps, embedding_dim)) model.add(inputs) layer = keras.layers.LSTM(units, return_sequences=True) model.add(layer) outputs = model.layers[-1].output self.assertEqual(outputs.shape.as_list(), [None, timesteps, units]) @tf_test_util.run_in_graph_and_eager_modes def test_dynamic_behavior_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 layer = keras.layers.LSTM(units, input_shape=(None, embedding_dim)) model = keras.models.Sequential() model.add(layer) model.compile( 'rmsprop', 'mse', run_eagerly=testing_utils.should_run_eagerly()) x = np.random.random((num_samples, timesteps, embedding_dim)) y = np.random.random((num_samples, units)) model.train_on_batch(x, y) @tf_test_util.run_in_graph_and_eager_modes def test_dropout_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 testing_utils.layer_test( keras.layers.LSTM, kwargs={'units': units, 'dropout': 0.1, 'recurrent_dropout': 0.1}, input_shape=(num_samples, timesteps, embedding_dim)) @tf_test_util.run_in_graph_and_eager_modes def test_implementation_mode_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 for mode in [0, 1, 2]: testing_utils.layer_test( keras.layers.LSTM, kwargs={'units': units, 'implementation': mode}, input_shape=(num_samples, timesteps, embedding_dim)) def test_statefulness_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 layer_class = keras.layers.LSTM with self.cached_session(): model = keras.models.Sequential() model.add( keras.layers.Embedding( 4, embedding_dim, mask_zero=True, input_length=timesteps, batch_input_shape=(num_samples, timesteps))) layer = layer_class( units, return_sequences=False, stateful=True, weights=None) model.add(layer) model.compile(optimizer='sgd', loss='mse') out1 = model.predict(np.ones((num_samples, timesteps))) self.assertEqual(out1.shape, (num_samples, units)) # train once so that the states change model.train_on_batch( np.ones((num_samples, timesteps)), np.ones((num_samples, units))) out2 = model.predict(np.ones((num_samples, timesteps))) # if the state is not reset, output should be different self.assertNotEqual(out1.max(), out2.max()) # check that output changes after states are reset # (even though the model itself didn't change) layer.reset_states() out3 = model.predict(np.ones((num_samples, timesteps))) self.assertNotEqual(out2.max(), out3.max()) # check that container-level reset_states() works model.reset_states() out4 = model.predict(np.ones((num_samples, timesteps))) self.assertAllClose(out3, out4, atol=1e-5) # check that the call to `predict` updated the states out5 = model.predict(np.ones((num_samples, timesteps))) self.assertNotEqual(out4.max(), out5.max()) # Check masking layer.reset_states() left_padded_input = np.ones((num_samples, timesteps)) left_padded_input[0, :1] = 0 left_padded_input[1, :2] = 0 out6 = model.predict(left_padded_input) layer.reset_states() right_padded_input = np.ones((num_samples, timesteps)) right_padded_input[0, -1:] = 0 right_padded_input[1, -2:] = 0 out7 = model.predict(right_padded_input) self.assertAllClose(out7, out6, atol=1e-5) def test_regularizers_LSTM(self): embedding_dim = 4 layer_class = keras.layers.LSTM with self.cached_session(): layer = layer_class( 5, return_sequences=False, weights=None, input_shape=(None, embedding_dim), kernel_regularizer=keras.regularizers.l1(0.01), recurrent_regularizer=keras.regularizers.l1(0.01), bias_regularizer='l2', activity_regularizer='l1') layer.build((None, None, 2)) self.assertEqual(len(layer.losses), 3) x = keras.backend.variable(np.ones((2, 3, 2))) layer(x) self.assertEqual(len(layer.get_losses_for(x)), 1) def test_constraints_LSTM(self): embedding_dim = 4 layer_class = keras.layers.LSTM with self.cached_session(): k_constraint = keras.constraints.max_norm(0.01) r_constraint = keras.constraints.max_norm(0.01) b_constraint = keras.constraints.max_norm(0.01) layer = layer_class( 5, return_sequences=False, weights=None, input_shape=(None, embedding_dim), kernel_constraint=k_constraint, recurrent_constraint=r_constraint, bias_constraint=b_constraint) layer.build((None, None, embedding_dim)) self.assertEqual(layer.cell.kernel.constraint, k_constraint) self.assertEqual(layer.cell.recurrent_kernel.constraint, r_constraint) self.assertEqual(layer.cell.bias.constraint, b_constraint) @tf_test_util.run_in_graph_and_eager_modes def test_with_masking_layer_LSTM(self): layer_class = keras.layers.LSTM inputs = np.random.random((2, 3, 4)) targets = np.abs(np.random.random((2, 3, 5))) targets /= targets.sum(axis=-1, keepdims=True) model = keras.models.Sequential() model.add(keras.layers.Masking(input_shape=(3, 4))) model.add(layer_class(units=5, return_sequences=True, unroll=False)) model.compile( loss='categorical_crossentropy', optimizer='rmsprop', run_eagerly=testing_utils.should_run_eagerly()) model.fit(inputs, targets, epochs=1, batch_size=2, verbose=1) def test_masking_with_stacking_LSTM(self): inputs = np.random.random((2, 3, 4)) targets = np.abs(np.random.random((2, 3, 5))) targets /= targets.sum(axis=-1, keepdims=True) model = keras.models.Sequential() model.add(keras.layers.Masking(input_shape=(3, 4))) lstm_cells = [keras.layers.LSTMCell(10), keras.layers.LSTMCell(5)] model.add(keras.layers.RNN(lstm_cells, return_sequences=True, unroll=False)) model.compile( loss='categorical_crossentropy', optimizer='rmsprop', run_eagerly=testing_utils.should_run_eagerly()) model.fit(inputs, targets, epochs=1, batch_size=2, verbose=1) def test_from_config_LSTM(self): layer_class = keras.layers.LSTM for stateful in (False, True): l1 = layer_class(units=1, stateful=stateful) l2 = layer_class.from_config(l1.get_config()) assert l1.get_config() == l2.get_config() def test_specify_initial_state_keras_tensor(self): num_states = 2 timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): # Test with Keras tensor inputs = keras.Input((timesteps, embedding_dim)) initial_state = [keras.Input((units,)) for _ in range(num_states)] layer = keras.layers.LSTM(units) if len(initial_state) == 1: output = layer(inputs, initial_state=initial_state[0]) else: output = layer(inputs, initial_state=initial_state) assert initial_state[0] in layer._inbound_nodes[0].input_tensors model = keras.models.Model([inputs] + initial_state, output) model.compile(loss='categorical_crossentropy', optimizer='adam') inputs = np.random.random((num_samples, timesteps, embedding_dim)) initial_state = [np.random.random((num_samples, units)) for _ in range(num_states)] targets = np.random.random((num_samples, units)) model.train_on_batch([inputs] + initial_state, targets) def test_specify_initial_state_non_keras_tensor(self): num_states = 2 timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): # Test with non-Keras tensor inputs = keras.Input((timesteps, embedding_dim)) initial_state = [keras.backend.random_normal_variable( (num_samples, units), 0, 1) for _ in range(num_states)] layer = keras.layers.LSTM(units) output = layer(inputs, initial_state=initial_state) model = keras.models.Model(inputs, output) model.compile(loss='categorical_crossentropy', optimizer='adam') inputs = np.random.random((num_samples, timesteps, embedding_dim)) targets = np.random.random((num_samples, units)) model.train_on_batch(inputs, targets) def test_reset_states_with_values(self): num_states = 2 timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): layer = keras.layers.LSTM(units, stateful=True) layer.build((num_samples, timesteps, embedding_dim)) layer.reset_states() assert len(layer.states) == num_states assert layer.states[0] is not None self.assertAllClose( keras.backend.eval(layer.states[0]), np.zeros(keras.backend.int_shape(layer.states[0])), atol=1e-4) state_shapes = [keras.backend.int_shape(state) for state in layer.states] values = [np.ones(shape) for shape in state_shapes] if len(values) == 1: values = values[0] layer.reset_states(values) self.assertAllClose( keras.backend.eval(layer.states[0]), np.ones(keras.backend.int_shape(layer.states[0])), atol=1e-4) # Test with invalid data with self.assertRaises(ValueError): layer.reset_states([1] * (len(layer.states) + 1)) def test_specify_state_with_masking(self): num_states = 2 timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): inputs = keras.Input((timesteps, embedding_dim)) _ = keras.layers.Masking()(inputs) initial_state = [keras.Input((units,)) for _ in range(num_states)] output = keras.layers.LSTM(units)(inputs, initial_state=initial_state) model = keras.models.Model([inputs] + initial_state, output) model.compile( loss='categorical_crossentropy', optimizer='rmsprop', run_eagerly=testing_utils.should_run_eagerly()) inputs = np.random.random((num_samples, timesteps, embedding_dim)) initial_state = [np.random.random((num_samples, units)) for _ in range(num_states)] targets = np.random.random((num_samples, units)) model.train_on_batch([inputs] + initial_state, targets) def test_return_state(self): num_states = 2 timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): inputs = keras.Input(batch_shape=(num_samples, timesteps, embedding_dim)) layer = keras.layers.LSTM(units, return_state=True, stateful=True) outputs = layer(inputs) state = outputs[1:] assert len(state) == num_states model = keras.models.Model(inputs, state[0]) inputs = np.random.random((num_samples, timesteps, embedding_dim)) state = model.predict(inputs) self.assertAllClose(keras.backend.eval(layer.states[0]), state, atol=1e-4) def test_state_reuse(self): timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 with self.cached_session(): inputs = keras.Input(batch_shape=(num_samples, timesteps, embedding_dim)) layer = keras.layers.LSTM(units, return_state=True, return_sequences=True) outputs = layer(inputs) output, state = outputs[0], outputs[1:] output = keras.layers.LSTM(units)(output, initial_state=state) model = keras.models.Model(inputs, output) inputs = np.random.random((num_samples, timesteps, embedding_dim)) outputs = model.predict(inputs) def test_initial_states_as_other_inputs(self): timesteps = 3 embedding_dim = 4 units = 3 num_samples = 2 num_states = 2 layer_class = keras.layers.LSTM # Test with Keras tensor main_inputs = keras.Input((timesteps, embedding_dim)) initial_state = [keras.Input((units,)) for _ in range(num_states)] inputs = [main_inputs] + initial_state layer = layer_class(units) output = layer(inputs) assert initial_state[0] in layer._inbound_nodes[0].input_tensors model = keras.models.Model(inputs, output) model.compile(loss='categorical_crossentropy', optimizer=adam.AdamOptimizer(), run_eagerly=testing_utils.should_run_eagerly()) main_inputs = np.random.random((num_samples, timesteps, embedding_dim)) initial_state = [np.random.random((num_samples, units)) for _ in range(num_states)] targets = np.random.random((num_samples, units)) model.train_on_batch([main_inputs] + initial_state, targets) def test_regularizers_LSTM(self): embedding_dim = 4 layer_class = keras.layers.LSTM layer = layer_class( 5, return_sequences=False, weights=None, input_shape=(None, embedding_dim), kernel_regularizer=keras.regularizers.l1(0.01), recurrent_regularizer=keras.regularizers.l1(0.01), bias_regularizer='l2', activity_regularizer='l1') layer.build((None, None, 2)) self.assertEqual(len(layer.losses), 3) x = keras.backend.variable(np.ones((2, 3, 2))) layer(x) if context.executing_eagerly(): self.assertEqual(len(layer.losses), 4) else: self.assertEqual(len(layer.get_losses_for(x)), 1) def test_statefulness_LSTM(self): num_samples = 2 timesteps = 3 embedding_dim = 4 units = 2 layer_class = keras.layers.LSTM model = keras.models.Sequential() model.add( keras.layers.Embedding( 4, embedding_dim, mask_zero=True, input_length=timesteps, batch_input_shape=(num_samples, timesteps))) layer = layer_class( units, return_sequences=False, stateful=True, weights=None) model.add(layer) model.compile(optimizer=gradient_descent.GradientDescentOptimizer(0.01), loss='mse', run_eagerly=testing_utils.should_run_eagerly()) out1 = model.predict(np.ones((num_samples, timesteps))) self.assertEqual(out1.shape, (num_samples, units)) # train once so that the states change model.train_on_batch( np.ones((num_samples, timesteps)), np.ones((num_samples, units))) out2 = model.predict(np.ones((num_samples, timesteps))) # if the state is not reset, output should be different self.assertNotEqual(out1.max(), out2.max()) # check that output changes after states are reset # (even though the model itself didn't change) layer.reset_states() out3 = model.predict(np.ones((num_samples, timesteps))) self.assertNotEqual(out2.max(), out3.max()) # check that container-level reset_states() works model.reset_states() out4 = model.predict(np.ones((num_samples, timesteps))) self.assertAllClose(out3, out4, atol=1e-5) # check that the call to `predict` updated the states out5 = model.predict(np.ones((num_samples, timesteps))) self.assertNotEqual(out4.max(), out5.max()) # Check masking layer.reset_states() left_padded_input = np.ones((num_samples, timesteps)) left_padded_input[0, :1] = 0 left_padded_input[1, :2] = 0 out6 = model.predict(left_padded_input) layer.reset_states() right_padded_input = np.ones((num_samples, timesteps)) right_padded_input[0, -1:] = 0 right_padded_input[1, -2:] = 0 out7 = model.predict(right_padded_input) self.assertAllClose(out7, out6, atol=1e-5) if __name__ == '__main__': test.main()

35.469758

80

0.672199

2,278

17,593

4.979807

0.118525

0.050247

0.051922

0.025388

0.769041

0.729813

0.714563

0.678156

0.662906

0.635755

0

0.019153

0.213551

17,593

495

81

35.541414

0.800737

0.078099

0

0.73028

0

0.017143

0.008912

0

0.07888

0

null

0

0.02799

null

0.002545

0

null

0

1

0

1

0

1

0

null

0

1

0

5

0a26b7b72b76188004cbf88f886d17500655a525

58

py

Python

apps/process/serializes/__init__.py

kane-zh/MES_server

d8d28768a054eee6433e3900908afd331fd92281

[ "Apache-2.0" ]

null

apps/process/serializes/__init__.py

kane-zh/MES_server

d8d28768a054eee6433e3900908afd331fd92281

[ "Apache-2.0" ]

null

apps/process/serializes/__init__.py

kane-zh/MES_server

d8d28768a054eee6433e3900908afd331fd92281

[ "Apache-2.0" ]

null

from apps.process.serializes.basicinfor_serialize import *

58

0.87931

7

58

7.142857

1

0

0.051724

58

1

58

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6a56793ce5479c5fb4645a2ef7b9998d9739552e

38,300

py

Python

fbpcs/private_computation_cli/tests/test_pl_instance_runner.py

bliud/fbpcs

35a479fb7f3673a11ccfb012bf882b1de00b0b28

[ "MIT" ]

63

2021-08-18T01:50:22.000Z

2022-03-25T06:44:36.000Z

fbpcs/private_computation_cli/tests/test_pl_instance_runner.py

bliud/fbpcs

35a479fb7f3673a11ccfb012bf882b1de00b0b28

[ "MIT" ]

672

2021-08-18T05:20:32.000Z

2022-03-31T23:30:13.000Z

fbpcs/private_computation_cli/tests/test_pl_instance_runner.py

bliud/fbpcs

35a479fb7f3673a11ccfb012bf882b1de00b0b28

[ "MIT" ]

61

2021-08-18T20:02:30.000Z

2022-03-31T22:44:17.000Z

#!/usr/bin/env python3 # Copyright (c) Meta Platforms, Inc. and affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import json from typing import Any, Optional, List, Tuple, Type from unittest import TestCase from unittest.mock import patch, PropertyMock import requests from fbpcs.pl_coordinator.pl_graphapi_utils import ( GRAPHAPI_INSTANCE_STATUSES, ) from fbpcs.pl_coordinator.pl_instance_runner import ( PLInstanceRunner, PLInstanceCalculationException, ) from fbpcs.private_computation.entity.private_computation_instance import ( AggregationType, AttributionRule, PrivateComputationGameType, ) from fbpcs.private_computation.entity.private_computation_instance import ( PrivateComputationInstance, ) from fbpcs.private_computation.entity.private_computation_instance import ( PrivateComputationRole, ) from fbpcs.private_computation.entity.private_computation_status import ( PrivateComputationInstanceStatus, ) from fbpcs.private_computation.stage_flows.private_computation_base_stage_flow import ( PrivateComputationBaseStageFlow, ) from fbpcs.private_computation.stage_flows.private_computation_stage_flow import ( PrivateComputationStageFlow, ) class TestPlInstanceRunner(TestCase): @patch("logging.Logger") @patch("fbpcs.pl_coordinator.pl_graphapi_utils.PLGraphAPIClient") def setUp( self, mock_graph_api_client, mock_logger, ): self.mock_graph_api_client = mock_graph_api_client self.mock_logger = mock_logger self.num_shards = 2 self.instance_id = "123" @patch( "fbpcs.pl_coordinator.pc_calc_instance.PrivateLiftCalcInstance.wait_valid_status" ) @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_ready_for_stage(self, mock_get_instance, mock_wait_valid_status) -> None: for ( publisher_status, partner_status, stage, publisher_ready_for_stage_expected, partner_ready_for_stage_expected, ) in self._get_stage_ready_data(): with self.subTest( publisher_status=publisher_status, partner_status=partner_status, stage=stage, publisher_ready_for_stage_expected=publisher_ready_for_stage_expected, partner_ready_for_stage_expected=partner_ready_for_stage_expected, ): self.mock_graph_api_client.get_instance.return_value = ( self._get_graph_api_output(publisher_status) ) mock_get_instance.return_value = self._get_pc_instance(partner_status) runner = self._get_runner(type(stage)) publisher_ready_for_stage_actual = runner.publisher.ready_for_stage( stage ) partner_ready_for_stage_actual = runner.partner.ready_for_stage(stage) self.assertEqual( publisher_ready_for_stage_expected, publisher_ready_for_stage_actual ) self.assertEqual( partner_ready_for_stage_expected, partner_ready_for_stage_actual ) @patch( "fbpcs.pl_coordinator.pc_calc_instance.PrivateLiftCalcInstance.wait_valid_status" ) @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_get_valid_stage(self, mock_get_instance, mock_wait_valid_status) -> None: for ( publisher_status, partner_status, stage, _, _, ) in self._get_valid_stage_data(): with self.subTest( publisher_status=publisher_status, partner_status=partner_status, stage=stage, ): self.mock_graph_api_client.get_instance.return_value = ( self._get_graph_api_output(publisher_status) ) mock_get_instance.return_value = self._get_pc_instance(partner_status) runner = self._get_runner( PrivateComputationStageFlow if not stage else type(stage) ) runner.publisher.status = GRAPHAPI_INSTANCE_STATUSES[publisher_status] runner.partner.status = partner_status valid_stage = runner.get_valid_stage() self.assertEqual(valid_stage, stage) @patch( "fbpcs.pl_coordinator.pc_calc_instance.PrivateLiftCalcInstance.wait_valid_status" ) @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_should_invoke(self, mock_get_instance, mock_wait_valid_status) -> None: for ( publisher_status, partner_status, stage, publisher_should_invoke_expected, partner_should_invoke_expected, ) in self._get_valid_stage_data(): with self.subTest( publisher_status=publisher_status, partner_status=partner_status, stage=stage, publisher_should_invoke_expected=publisher_should_invoke_expected, partner_should_invoke_expected=partner_should_invoke_expected, ): # there is one row in the dataset that has no next stage if stage is None: continue self.mock_graph_api_client.get_instance.return_value = ( self._get_graph_api_output(publisher_status) ) mock_get_instance.return_value = self._get_pc_instance(partner_status) runner = self._get_runner(type(stage)) publisher_should_invoke_actual = ( runner.publisher.should_invoke_operation(stage) ) partner_should_invoke_actual = runner.partner.should_invoke_operation( stage ) self.assertEqual( publisher_should_invoke_expected, publisher_should_invoke_actual ) self.assertEqual( partner_should_invoke_expected, partner_should_invoke_actual ) @patch("fbpcs.pl_coordinator.pc_partner_instance.run_stage") @patch( "fbpcs.pl_coordinator.pc_calc_instance.PrivateLiftCalcInstance.wait_stage_start" ) @patch( "fbpcs.pl_coordinator.pl_instance_runner.PLInstanceRunner.wait_stage_complete" ) @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_run_stage( self, mock_get_instance, mock_wait_stage_complete, mock_wait_stage_start, mock_run_stage, ) -> None: for ( publisher_status, partner_status, stage, publisher_should_invoke_expected, partner_should_invoke_expected, ) in self._get_valid_stage_data(): with self.subTest( publisher_status=publisher_status, partner_status=partner_status, stage=stage, publisher_should_invoke_expected=publisher_should_invoke_expected, partner_should_invoke_expected=partner_should_invoke_expected, ): # there is one row in the dataset that has no next stage if stage is None: continue mock_run_stage.call_count = 0 mock_wait_stage_start.call_count = 0 self.mock_graph_api_client.invoke_operation.call_count = 0 self.mock_graph_api_client.get_instance.return_value = ( self._get_graph_api_output(publisher_status) ) mock_get_instance.return_value = self._get_pc_instance(partner_status) runner = self._get_runner(type(stage)) runner.run_stage(stage) if stage.is_joint_stage: mock_wait_stage_start.assert_called() else: mock_wait_stage_start.assert_not_called() if publisher_should_invoke_expected: self.mock_graph_api_client.invoke_operation.assert_called_with( self.instance_id, "NEXT" ) else: self.mock_graph_api_client.invoke_operation.assert_not_called() if partner_should_invoke_expected: mock_run_stage.assert_called() else: mock_run_stage.assert_not_called() @patch("fbpcs.pl_coordinator.pc_calc_instance.sleep") @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_wait_stage_start(self, mock_get_instance, mock_sleep) -> None: for ( stage, statuses, result, ) in self._get_wait_stage_start_data(): with self.subTest( stage=stage, statuses=statuses, result=result, ): self.mock_graph_api_client.get_instance.side_effect = ( self._get_graph_api_output(status) for status in statuses ) mock_get_instance.return_value = self._get_pc_instance( stage.previous_stage.completed_status ) runner = self._get_runner(type(stage)) if not result: with self.assertRaises(PLInstanceCalculationException): runner.publisher.wait_stage_start(stage) else: runner.publisher.wait_stage_start(stage) @patch("fbpcs.pl_coordinator.pc_partner_instance.cancel_current_stage") @patch("fbpcs.pl_coordinator.pl_instance_runner.sleep") @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_wait_stage_completed( self, mock_get_instance, mock_sleep, mock_cancel_current_stage ) -> None: for ( stage, publisher_statuses, partner_statuses, result, ) in self._get_wait_stage_completed(): with self.subTest( stage=stage, publisher_statuses=publisher_statuses, partner_statuses=partner_statuses, result=result, ): self.mock_graph_api_client.get_instance.side_effect = ( self._get_graph_api_output(status) for status in publisher_statuses ) mock_get_instance.side_effect = ( self._get_pc_instance(status) for status in partner_statuses ) runner = self._get_runner(type(stage)) if not result: with self.assertRaises(PLInstanceCalculationException): runner.wait_stage_complete(stage) else: runner.wait_stage_complete(stage) @patch("fbpcs.pl_coordinator.pc_calc_instance.sleep") @patch("fbpcs.pl_coordinator.pc_partner_instance.get_instance") def test_wait_until_not_timeout(self, mock_get_instance, mock_sleep) -> None: stage = PrivateComputationStageFlow.PREPARE self.mock_graph_api_client.invoke_operation.call_count = 0 self.mock_graph_api_client.get_instance.side_effect = ( self._get_graph_api_output(status) for status in ( "TIMEOUT", "TIMEOUT", "PROCESSING_REQUEST", "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", ) ) mock_get_instance.return_value = self._get_pc_instance( stage.previous_stage.completed_status ) runner = self._get_runner(PrivateComputationStageFlow) self.mock_graph_api_client.invoke_operation.assert_called_with( self.instance_id, "NEXT" ) self.assertEqual(stage.started_status, runner.publisher.status) # make sure that run next is only being called when the status is timeout self.mock_graph_api_client.invoke_operation.call_count = 0 self.mock_graph_api_client.get_instance.side_effect = ( self._get_graph_api_output("PREPARE_DATA_COMPLETED") for _ in range(2) ) runner = self._get_runner(PrivateComputationStageFlow) self.mock_graph_api_client.invoke_operation.assert_not_called() self.assertEqual(stage.completed_status, runner.publisher.status) def _get_runner( self, stage_flow: Type[PrivateComputationBaseStageFlow] ) -> PLInstanceRunner: return PLInstanceRunner( config={}, instance_id=self.instance_id, input_path="fake_input_path", game_type=PrivateComputationGameType.LIFT, attribution_rule=AttributionRule.LAST_CLICK_1D, aggregation_type=AggregationType.MEASUREMENT, num_mpc_containers=self.num_shards, num_pid_containers=self.num_shards, logger=self.mock_logger, client=self.mock_graph_api_client, num_tries=2, dry_run=False, stage_flow=stage_flow, ) def _get_graph_api_output(self, status: str) -> requests.Response: data = {"status": status, "server_ips": ["xxx" for _ in range(self.num_shards)]} r = requests.Response() r.status_code = 200 # pyre-ignore type(r).text = PropertyMock(return_value=json.dumps(data)) def json_func(**kwargs) -> Any: return data r.json = json_func return r def _get_pc_instance( self, status: PrivateComputationInstanceStatus ) -> PrivateComputationInstance: return PrivateComputationInstance( instance_id=self.instance_id, role=PrivateComputationRole.PARTNER, instances=[], status=status, status_update_ts=1600000000, num_pid_containers=self.num_shards, num_mpc_containers=self.num_shards, num_files_per_mpc_container=40, game_type=PrivateComputationGameType.LIFT, input_path="456", output_dir="789", ) def _get_stage_ready_data( self, ) -> List[ Tuple[ str, PrivateComputationInstanceStatus, PrivateComputationBaseStageFlow, bool, bool, ] ]: """ Tuple represents: * publisher status * partner status * stage * is the stage ready for publisher * is the stage ready for partner """ return [ ( "CREATED", PrivateComputationInstanceStatus.CREATED, PrivateComputationStageFlow.CREATED.next_stage, True, True, ), ( "ID_MATCH_STARTED", PrivateComputationStageFlow.ID_MATCH.previous_stage.completed_status, PrivateComputationStageFlow.ID_MATCH, True, True, ), ( "ID_MATCH_STARTED", PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationStageFlow.ID_MATCH, True, True, ), ( "ID_MATCH_STARTED", PrivateComputationInstanceStatus.ID_MATCHING_FAILED, PrivateComputationStageFlow.ID_MATCH, True, True, ), ( "ID_MATCH_STARTED", PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationStageFlow.ID_MATCH, True, True, ), ( "ID_MATCH_COMPLETED", PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, PrivateComputationStageFlow.ID_MATCH, False, False, ), ( "ID_MATCH_COMPLETED", PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, PrivateComputationStageFlow.ID_MATCH.next_stage, True, True, ), ( "COMPUTATION_STARTED", PrivateComputationStageFlow.COMPUTE.previous_stage.completed_status, PrivateComputationStageFlow.COMPUTE, True, True, ), ( "COMPUTATION_STARTED", PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationStageFlow.COMPUTE, True, True, ), ( "COMPUTATION_STARTED", PrivateComputationInstanceStatus.COMPUTATION_FAILED, PrivateComputationStageFlow.COMPUTE, True, True, ), ( "COMPUTATION_STARTED", PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationStageFlow.COMPUTE, True, True, ), ( "COMPUTATION_COMPLETED", PrivateComputationInstanceStatus.COMPUTATION_COMPLETED, PrivateComputationStageFlow.COMPUTE, False, False, ), ( "COMPUTATION_COMPLETED", PrivateComputationInstanceStatus.COMPUTATION_COMPLETED, PrivateComputationStageFlow.COMPUTE.next_stage, True, True, ), ( "AGGREGATION_STARTED", PrivateComputationStageFlow.AGGREGATE.previous_stage.completed_status, PrivateComputationStageFlow.AGGREGATE, True, True, ), ( "AGGREGATION_STARTED", PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationStageFlow.AGGREGATE, True, True, ), ( "AGGREGATION_STARTED", PrivateComputationInstanceStatus.AGGREGATION_FAILED, PrivateComputationStageFlow.AGGREGATE, True, True, ), ( "AGGREGATION_STARTED", PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationStageFlow.AGGREGATE, True, True, ), ( "RESULT_READY", PrivateComputationInstanceStatus.AGGREGATION_COMPLETED, PrivateComputationStageFlow.AGGREGATE, False, False, ), ####################### NON JOINT STAGE TEST #################################3 ( "ID_MATCHING_POST_PROCESS_COMPLETED", PrivateComputationStageFlow.PREPARE.previous_stage.completed_status, PrivateComputationStageFlow.PREPARE, True, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.previous_stage.completed_status, PrivateComputationStageFlow.PREPARE, True, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.started_status, PrivateComputationStageFlow.PREPARE, True, True, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.started_status, PrivateComputationStageFlow.PREPARE, False, True, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.failed_status, PrivateComputationStageFlow.PREPARE, False, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.PREPARE, True, False, ), ( "PREPARE_DATA_FAILED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.PREPARE, True, False, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.COMPUTE, True, True, ), ] def _get_valid_stage_data( self, ) -> List[ Tuple[ str, PrivateComputationInstanceStatus, Optional[PrivateComputationBaseStageFlow], bool, bool, ] ]: """ Tuple represents: * publisher status * partner status * valid stage * publisher should invoke * partner should invoke """ return [ ( "CREATED", PrivateComputationInstanceStatus.CREATED, PrivateComputationStageFlow.CREATED.next_stage, True, True, ), ( "ID_MATCH_STARTED", PrivateComputationStageFlow.ID_MATCH.previous_stage.completed_status, PrivateComputationStageFlow.ID_MATCH, False, True, ), ( "ID_MATCH_STARTED", PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationStageFlow.ID_MATCH, False, False, ), ( "ID_MATCH_FAILED", PrivateComputationInstanceStatus.ID_MATCHING_FAILED, PrivateComputationStageFlow.ID_MATCH, True, True, ), ( "ID_MATCH_COMPLETED", PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, PrivateComputationStageFlow.ID_MATCH.next_stage, True, True, ), ( "COMPUTATION_STARTED", PrivateComputationStageFlow.COMPUTE.previous_stage.completed_status, PrivateComputationStageFlow.COMPUTE, False, True, ), ( "COMPUTATION_STARTED", PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationStageFlow.COMPUTE, False, False, ), ( "COMPUTATION_FAILED", PrivateComputationInstanceStatus.COMPUTATION_FAILED, PrivateComputationStageFlow.COMPUTE, True, True, ), ( "COMPUTATION_COMPLETED", PrivateComputationInstanceStatus.COMPUTATION_COMPLETED, PrivateComputationStageFlow.COMPUTE.next_stage, True, True, ), ( "AGGREGATION_STARTED", PrivateComputationStageFlow.AGGREGATE.previous_stage.completed_status, PrivateComputationStageFlow.AGGREGATE, False, True, ), ( "AGGREGATION_STARTED", PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationStageFlow.AGGREGATE, False, False, ), ( "AGGREGATION_FAILED", PrivateComputationInstanceStatus.AGGREGATION_FAILED, PrivateComputationStageFlow.AGGREGATE, True, True, ), ( "RESULT_READY", PrivateComputationInstanceStatus.AGGREGATION_COMPLETED, None, False, False, ), ####################### NON JOINT STAGE TEST #################################3 ( "ID_MATCHING_POST_PROCESS_COMPLETED", PrivateComputationStageFlow.PREPARE.previous_stage.completed_status, PrivateComputationStageFlow.PREPARE, True, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.previous_stage.completed_status, PrivateComputationStageFlow.PREPARE, False, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.started_status, PrivateComputationStageFlow.PREPARE, False, False, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.started_status, PrivateComputationStageFlow.PREPARE, False, False, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.failed_status, PrivateComputationStageFlow.PREPARE, False, True, ), ( "PREPARE_DATA_STARTED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.PREPARE, False, False, ), ( "PREPARE_DATA_FAILED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.PREPARE, True, False, ), ( "PREPARE_DATA_COMPLETED", PrivateComputationStageFlow.PREPARE.completed_status, PrivateComputationStageFlow.COMPUTE, True, True, ), ] def _get_wait_stage_start_data( self, ) -> List[Tuple[PrivateComputationBaseStageFlow, List[str], bool,]]: """ Tuple represents: * stage * order of the publisher statuses * Does it succeed """ return [ ( PrivateComputationStageFlow.ID_MATCH, [ "CREATED", "CREATED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "ID_MATCH_STARTED", "ID_MATCH_STARTED", ], True, ), ( PrivateComputationStageFlow.ID_MATCH, [ "CREATED", "CREATED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "ID_MATCH_FAILED", "ID_MATCH_FAILED", ], False, ), ( PrivateComputationStageFlow.COMPUTE, [ "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "COMPUTATION_STARTED", "COMPUTATION_STARTED", ], True, ), ( PrivateComputationStageFlow.COMPUTE, [ "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "COMPUTATION_FAILED", "COMPUTATION_FAILED", ], False, ), ( PrivateComputationStageFlow.AGGREGATE, [ "COMPUTATION_COMPLETED", "COMPUTATION_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "AGGREGATION_STARTED", "AGGREGATION_STARTED", ], True, ), ( PrivateComputationStageFlow.AGGREGATE, [ "COMPUTATION_COMPLETED", "COMPUTATION_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "AGGREGATION_FAILED", "AGGREGATION_FAILED", ], False, ), ( PrivateComputationStageFlow.PREPARE, [ "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", ], True, ), ( PrivateComputationStageFlow.PREPARE, [ "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "PREPARE_DATA_FAILED", "PREPARE_DATA_FAILED", ], False, ), ( PrivateComputationStageFlow.PREPARE, [ "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", "PROCESSING_REQUEST", "PROCESSING_REQUEST", "TIMEOUT", "TIMEOUT", ], False, ), ] def _get_wait_stage_completed( self, ) -> List[ Tuple[ PrivateComputationBaseStageFlow, List[str], List[PrivateComputationInstanceStatus], bool, ] ]: """ Tuple represents: * stage * order of the publisher statuses * order of the partner statuses * Does it succeed """ return [ ( PrivateComputationStageFlow.ID_MATCH, [ "ID_MATCH_STARTED", "ID_MATCH_STARTED", "ID_MATCH_STARTED", "ID_MATCH_COMPLETED", "ID_MATCH_COMPLETED", ], [ PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, PrivateComputationInstanceStatus.ID_MATCHING_COMPLETED, ], True, ), ( PrivateComputationStageFlow.ID_MATCH, [ "ID_MATCH_STARTED", "ID_MATCH_STARTED", "ID_MATCH_STARTED", "ID_MATCH_FAILED", "ID_MATCH_FAILED", ], [ PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_STARTED, PrivateComputationInstanceStatus.ID_MATCHING_FAILED, PrivateComputationInstanceStatus.ID_MATCHING_FAILED, ], False, ), ( PrivateComputationStageFlow.COMPUTE, [ "COMPUTATION_STARTED", "COMPUTATION_STARTED", "COMPUTATION_COMPLETED", "COMPUTATION_COMPLETED", "COMPUTATION_COMPLETED", ], [ PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationInstanceStatus.COMPUTATION_COMPLETED, PrivateComputationInstanceStatus.COMPUTATION_COMPLETED, ], True, ), ( PrivateComputationStageFlow.COMPUTE, [ "COMPUTATION_STARTED", "COMPUTATION_STARTED", "COMPUTATION_STARTED", "COMPUTATION_FAILED", "COMPUTATION_FAILED", ], [ PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationInstanceStatus.COMPUTATION_STARTED, PrivateComputationInstanceStatus.COMPUTATION_FAILED, PrivateComputationInstanceStatus.COMPUTATION_FAILED, PrivateComputationInstanceStatus.COMPUTATION_FAILED, ], False, ), ( PrivateComputationStageFlow.AGGREGATE, [ "AGGREGATION_STARTED", "AGGREGATION_STARTED", "AGGREGATION_STARTED", "RESULT_READY", "RESULT_READY", ], [ PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_COMPLETED, PrivateComputationInstanceStatus.AGGREGATION_COMPLETED, PrivateComputationInstanceStatus.AGGREGATION_COMPLETED, ], True, ), ( PrivateComputationStageFlow.AGGREGATE, [ "AGGREGATION_STARTED", "AGGREGATION_STARTED", "AGGREGATION_STARTED", "AGGREGATION_FAILED", "AGGREGATION_FAILED", ], [ PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_STARTED, PrivateComputationInstanceStatus.AGGREGATION_FAILED, PrivateComputationInstanceStatus.AGGREGATION_FAILED, ], False, ), ( PrivateComputationStageFlow.PREPARE, [ "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "PREPARE_DATA_COMPLETED", "PREPARE_DATA_COMPLETED", ], [ PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_COMPLETED, PrivateComputationInstanceStatus.PREPARE_DATA_COMPLETED, PrivateComputationInstanceStatus.PREPARE_DATA_COMPLETED, ], True, ), ( PrivateComputationStageFlow.PREPARE, [ "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "PREPARE_DATA_FAILED", "PREPARE_DATA_FAILED", ], [ PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_FAILED, PrivateComputationInstanceStatus.PREPARE_DATA_FAILED, ], False, ), ( PrivateComputationStageFlow.PREPARE, [ "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "PREPARE_DATA_STARTED", "TIMEOUT", "TIMEOUT", ], [ PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_STARTED, PrivateComputationInstanceStatus.PREPARE_DATA_FAILED, PrivateComputationInstanceStatus.PREPARE_DATA_FAILED, ], False, ), ]

36.406844

91

0.531697

2,607

38,300

7.416187

0.080936

0.029016

0.026999

0.017689

0.828696

0.793214

0.744336

0.703476

0.625272

0.584928

0

0.001586

0.407285

38,300

1,051

92

36.441484

0.850095

0.024439

0

0.720165

0

0.103472

0.04147

0

0.01749

1

0.016461

false

0

0.013374

0.003086

0.039095

0

null

0

1

0

1

0

null

0

5

6a71a3f8f053349fca85ecf5e833eb0754706542

89

py

Python

loggers/logging_practice.py

foxtreme/automate_boring_stuff

6ee91947727ac107b5c3d2f3f114031d6c36d4c7

[ "MIT" ]

null

loggers/logging_practice.py

foxtreme/automate_boring_stuff

6ee91947727ac107b5c3d2f3f114031d6c36d4c7

[ "MIT" ]

null

loggers/logging_practice.py

foxtreme/automate_boring_stuff

6ee91947727ac107b5c3d2f3f114031d6c36d4c7

[ "MIT" ]

null

from logging_decorator import logger @logger def naive_division(a, b): return a/b

11.125

36

0.741573

14

89

4.571429

0.785714

0.0625

0

0.191011

89

7

37

12.714286

0.888889

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6a7bbcfead2793834fd4162c0d8ac449f1998998

301

py

Python

CanvasPlus/assets/__init__.py

Luke-zhang-04/Canvas-Plus

7d86991c79ac8f3385b6a7771effd20c92157c73

[ "MIT" ]

4

2020-04-01T02:24:13.000Z

2021-06-01T05:24:58.000Z

CanvasPlus/assets/__init__.py

Luke-zhang-04/Canvas-Plus

7d86991c79ac8f3385b6a7771effd20c92157c73

[ "MIT" ]

1

2020-05-10T12:52:32.000Z

CanvasPlus/assets/__init__.py

Luke-zhang-04/Canvas-Plus

7d86991c79ac8f3385b6a7771effd20c92157c73

[ "MIT" ]

3

2020-05-05T14:54:59.000Z

2021-01-12T15:04:28.000Z

"""Luke-zhang-04 CanvasPlus (https://github.com/Luke-zhang-04/CanvasPlus) Copyright (C) 2020 Luke Zhang """ from CanvasPlus.assets.widgetwindows import WidgetWindows from CanvasPlus.assets.asynctransformations import AsyncTransformations from CanvasPlus.assets.transformations import Transformations

33.444444

71

0.840532

34

301

7.441176

0.470588

0.106719

0.237154

0.166008

0

0.028674

0.07309

301

8

72

37.625

0.878136

0.332226

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

6ab98c4246dca7bc2b81cfdb5d8d837bc9d55ee5

807

py

Python

home/board/migrations/0003_rename_field.py

he0119/smart-home

bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683

[ "MIT" ]

null

home/board/migrations/0003_rename_field.py

he0119/smart-home

bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683

[ "MIT" ]

223

2020-02-21T06:16:56.000Z

2022-03-01T22:24:19.000Z

home/board/migrations/0003_rename_field.py

he0119/smart-home

bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683

[ "MIT" ]

null

# Generated by Django 3.1.4 on 2020-12-23 11:08 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("board", "0002_add_is_pin"), ] operations = [ migrations.RenameField( model_name="comment", old_name="date_created", new_name="created_at", ), migrations.RenameField( model_name="comment", old_name="date_modified", new_name="edited_at", ), migrations.RenameField( model_name="topic", old_name="date_created", new_name="created_at", ), migrations.RenameField( model_name="topic", old_name="date_modified", new_name="edited_at", ), ]

23.735294

47

0.541512

80

807

5.175

0.4625

0.202899

0.251208

0.289855

0.676329

0.437198

0.309179

0

0.036122

0.348203

807

33

48

24.454545

0.750951

0.055762

0

0.740741

1

0

0.173684

0

1

0

false

0

0.037037

0

0.148148

0

null

1

0

1

0

null

0

5

6ad9ad3371634d0d15274255948323f44bb337e3

154

py

Python

bitmovin/resources/enums/h264_interlace_mode.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

44

2016-12-12T17:37:23.000Z

2021-03-03T09:48:48.000Z

bitmovin/resources/enums/h264_interlace_mode.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

38

2017-01-09T14:45:45.000Z

2022-02-27T18:04:33.000Z

bitmovin/resources/enums/h264_interlace_mode.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

27

2017-02-02T22:49:31.000Z

2019-11-21T07:04:57.000Z

import enum class H264InterlaceMode(enum.Enum): NONE = 'NONE' TOP_FIELD_FIRST = 'TOP_FIELD_FIRST' BOTTOM_FIELD_FIRST = 'BOTTOM_FIELD_FIRST'

19.25

45

0.74026

20

154

5.3

0.45

0.377358

0.245283

0.396226

0

0.023622

0.175325

154

7

46

22

0.811024

0

0.24026

0

1

0

false

0

0.2

0

1

0

1

0

null

1

0

1

0

null

0

5

6adda19a03b8f82e364ffec337d3982fd735cda3

101

py

Python

python-programming/main_import_example.py

geekmj/fml

ead2c16be7865eda03183b5e11622f64bf81cab7

[ "Unlicense" ]

null

python-programming/main_import_example.py

geekmj/fml

ead2c16be7865eda03183b5e11622f64bf81cab7

[ "Unlicense" ]

null

python-programming/main_import_example.py

geekmj/fml

ead2c16be7865eda03183b5e11622f64bf81cab7

[ "Unlicense" ]

null

import other_import_example as o print(o.sum(4, 5)) print(o.subtract(5, 7)) print(o.multiply(6, 6))

16.833333

32

0.712871

21

101

3.333333

0.619048

0.257143

0

0.066667

0.108911

101

5

33

20.2

0.711111

0

1

0

true

0

0.25

0

0.25

0.75

1

0

null

1

0

1

0

null

0

1

0

1

0

5

6aeb6e5557e9696d5ee972ac43111be2e2994b65

16,482

py

Python

Oblig1/packages/studies.py

fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing

4d3b2ed56b56e016413ae1544e19ad2a2c0ef047

[ "MIT" ]

null

Oblig1/packages/studies.py

fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing

4d3b2ed56b56e016413ae1544e19ad2a2c0ef047

[ "MIT" ]

null

Oblig1/packages/studies.py

fabiorodp/IN5550_Neural_Methods_in_Natural_Language_Processing

4d3b2ed56b56e016413ae1544e19ad2a2c0ef047

[ "MIT" ]

null

# Author: Fabio Rodrigues Pereira # E-mail: fabior@uio.no # Author: Per Morten Halvorsen # E-mail: pmhalvor@uio.no # Author: Eivind Grønlie Guren # E-mail: eivindgg@ifi.uio.no from sklearn.metrics import accuracy_score, precision_score from sklearn.metrics import recall_score, f1_score from packages.ann_models import MLPModel_wl from packages.preprocessing import BOW import pandas as pd import numpy as np import torch import time class ActivationFunctionStudy: @staticmethod def _generate_metrics(par_1, par_2): training_time = np.empty( shape=(len(par_1), len(par_2)), dtype=float ) searching_accScore = np.empty( shape=(len(par_1), len(par_2)), dtype=float ) searching_prcScore = np.empty( shape=(len(par_1), len(par_2)), dtype=float ) searching_rclScore = np.empty( shape=(len(par_1), len(par_2)), dtype=float ) searching_f1Score = np.empty( shape=(len(par_1), len(par_2)), dtype=float ) return (training_time, searching_accScore, searching_prcScore, searching_rclScore, searching_f1Score) @staticmethod def _load_data(url, pos, bow_type, vocab_size, verbose, random_state, train_size): tensors = BOW( bow_type=bow_type, vocab_size=vocab_size, verbose=verbose, random_state=random_state ) tensors.fit_transform( url=url, pos=pos, train_prop=train_size ) return (tensors.X_train, tensors.X_test, tensors.y_train, tensors.y_test) @staticmethod def _fit_predict(X_train, y_train, X_test, batch_size, n_hl, num_features, n_classes, dropout, epochs, units, bias, lr, momentum, device, weights_init, hl_actfunct, out_actfunct, loss_funct, verbose, random_state): model = MLPModel_wl( n_hl=n_hl, num_features=num_features, n_classes=n_classes, dropout=dropout, epochs=epochs, units=units, bias=bias, lr=lr, momentum=momentum, device=device, weights_init=weights_init, hl_actfunct=hl_actfunct, out_actfunct=out_actfunct, loss_funct=loss_funct, random_state=random_state, verbose=verbose ) print("Fitting data...") if verbose is True else None t0 = time.time() model.fit( loader=(X_train, y_train), verbose=verbose, batch_size=batch_size ) t1 = time.time() print(f"Fitting done in {t1-t0}s.") if verbose is True else None y_pred = model.predict_classes(X_test.to(device)) y_pred = y_pred.to(torch.device("cpu")) return model, y_pred, t0, t1 @staticmethod def _save_metrics(metrics, par_1, par_2, path_filename): for idx, metric in enumerate(metrics): df = pd.DataFrame( metric, index=par_1, columns=par_2 ) df.to_csv(f'{path_filename}_{idx}.csv') def __init__(self, par_1, par_2, random_state, verbose, device, out_path_filename): # seeding if random_state is not None: torch.manual_seed(random_state) np.random.seed(random_state) self.out_path_filename = out_path_filename self.random_state = random_state self.verbose = verbose self.device = device self.par_1 = par_1 self.par_2 = par_2 (self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score, self.training_time) = self._generate_metrics( par_1=par_1, par_2=par_2 ) def _store_metrics(self, c_idx, r_idx, t0, t1, y_test, y_pred): self.training_time[c_idx][r_idx] = t1 - t0 test_acc = accuracy_score(y_test, y_pred) print(f"Test Acc: {test_acc}.") if self.verbose is True else None self.searching_accScore[c_idx][r_idx] = test_acc self.searching_prcScore[c_idx][r_idx] = precision_score( y_test, y_pred, average="macro", zero_division=0) self.searching_rclScore[c_idx][r_idx] = recall_score( y_test, y_pred, average="macro", zero_division=0) f1_s = f1_score( y_test, y_pred, average="macro", zero_division=0) print(f"Test F1: {f1_s}.") if self.verbose is True else None self.searching_f1Score[c_idx][r_idx] = f1_s def run(self, url, pos, bow_type, vocab_size, batch_size, train_size, n_hl, dropout, epochs, units, bias, lr, momentum, weights_init, loss_funct): X_train, X_test, y_train, y_test = self._load_data( url=url, pos=pos, bow_type=bow_type, vocab_size=vocab_size, verbose=self.verbose, random_state=self.random_state, train_size=train_size, ) for c_idx, col in enumerate(self.par_1): for r_idx, row in enumerate(self.par_2): model, y_pred, t0, t1 = self._fit_predict( X_train=X_train, y_train=y_train, X_test=X_test, batch_size=batch_size, n_hl=n_hl, num_features=X_train.shape[1], n_classes=20, dropout=dropout, epochs=epochs, units=units, bias=bias, lr=lr, momentum=momentum, device=self.device, weights_init=weights_init, hl_actfunct=col, out_actfunct=row, loss_funct=loss_funct, verbose=self.verbose, random_state=self.random_state ) self._store_metrics( c_idx=c_idx, r_idx=r_idx, t0=t0, t1=t1, y_test=y_test, y_pred=y_pred ) metrics_ = (self.training_time, self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score) self._save_metrics( metrics=metrics_, par_1=self.par_1, par_2=self.par_2, path_filename=self.out_path_filename ) return self class BoWStudy(ActivationFunctionStudy): def __init__(self, par_1, par_2, random_state, verbose, device, out_path_filename): super().__init__(par_1, par_2, random_state, verbose, device, out_path_filename) def run(self, url, pos, batch_size, train_size, hl_actfunct, out_actfunct, n_hl, dropout, epochs, units, bias, lr, momentum, weights_init, loss_funct, bow_type=None, vocab_size=None): for c_idx, col in enumerate(self.par_1): for r_idx, row in enumerate(self.par_2): X_train, X_test, y_train, y_test = self._load_data( url=url, pos=pos, bow_type=row, vocab_size=col, verbose=self.verbose, random_state=self.random_state, train_size=train_size, ) model, y_pred, t0, t1 = self._fit_predict( X_train=X_train, y_train=y_train, X_test=X_test, batch_size=batch_size, n_hl=n_hl, num_features=X_train.shape[1], n_classes=20, dropout=dropout, epochs=epochs, units=units, bias=bias, lr=lr, momentum=momentum, device=self.device, weights_init=weights_init, hl_actfunct=hl_actfunct, out_actfunct=out_actfunct, loss_funct=loss_funct, verbose=self.verbose, random_state=self.random_state ) self._store_metrics( c_idx=c_idx, r_idx=r_idx, t0=t0, t1=t1, y_test=y_test, y_pred=y_pred ) metrics_ = (self.training_time, self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score) self._save_metrics( metrics=metrics_, par_1=self.par_1, par_2=self.par_2, path_filename=self.out_path_filename ) return self class HlUnitsStudy(ActivationFunctionStudy): def __init__(self, par_1, par_2, random_state, verbose, device, out_path_filename): super().__init__(par_1, par_2, random_state, verbose, device, out_path_filename) def run(self, url, pos, batch_size, train_size, hl_actfunct, out_actfunct, dropout, epochs, bias, lr, momentum, weights_init, loss_funct, bow_type, vocab_size, n_hl=None, units=None): X_train, X_test, y_train, y_test = self._load_data( url=url, pos=pos, bow_type=bow_type, vocab_size=vocab_size, verbose=self.verbose, random_state=self.random_state, train_size=train_size, ) for c_idx, col in enumerate(self.par_1): for r_idx, row in enumerate(self.par_2): model, y_pred, t0, t1 = self._fit_predict( X_train=X_train, y_train=y_train, X_test=X_test, batch_size=batch_size, n_hl=col, num_features=X_train.shape[1], n_classes=20, dropout=dropout, epochs=epochs, units=row, bias=bias, lr=lr, momentum=momentum, device=self.device, weights_init=weights_init, hl_actfunct=hl_actfunct, out_actfunct=out_actfunct, loss_funct=loss_funct, verbose=self.verbose, random_state=self.random_state ) self._store_metrics( c_idx=c_idx, r_idx=r_idx, t0=t0, t1=t1, y_test=y_test, y_pred=y_pred ) metrics_ = (self.training_time, self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score) self._save_metrics( metrics=metrics_, par_1=self.par_1, par_2=self.par_2, path_filename=self.out_path_filename ) return self class LrMmtStudy(ActivationFunctionStudy): def __init__(self, par_1, par_2, random_state, verbose, device, out_path_filename): super().__init__(par_1, par_2, random_state, verbose, device, out_path_filename) def run(self, url, pos, batch_size, train_size, hl_actfunct, out_actfunct, dropout, epochs, bias, weights_init, loss_funct, bow_type, vocab_size, n_hl, units, lr=None, momentum=None): X_train, X_test, y_train, y_test = self._load_data( url=url, pos=pos, bow_type=bow_type, vocab_size=vocab_size, verbose=self.verbose, random_state=self.random_state, train_size=train_size, ) for c_idx, col in enumerate(self.par_1): for r_idx, row in enumerate(self.par_2): model, y_pred, t0, t1 = self._fit_predict( X_train=X_train, y_train=y_train, X_test=X_test, batch_size=batch_size, n_hl=n_hl, num_features=X_train.shape[1], n_classes=20, dropout=dropout, epochs=epochs, units=units, bias=bias, lr=col, momentum=row, device=self.device, weights_init=weights_init, hl_actfunct=hl_actfunct, out_actfunct=out_actfunct, loss_funct=loss_funct, verbose=self.verbose, random_state=self.random_state ) self._store_metrics( c_idx=c_idx, r_idx=r_idx, t0=t0, t1=t1, y_test=y_test, y_pred=y_pred ) metrics_ = (self.training_time, self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score) self._save_metrics( metrics=metrics_, par_1=self.par_1, par_2=self.par_2, path_filename=self.out_path_filename ) return self class EpochsBatchesStudy(ActivationFunctionStudy): def __init__(self, par_1, par_2, random_state, verbose, device, out_path_filename): super().__init__(par_1, par_2, random_state, verbose, device, out_path_filename) def run(self, url, pos, train_size, hl_actfunct, out_actfunct, dropout, bias, weights_init, loss_funct, bow_type, vocab_size, n_hl, units, lr, momentum, epochs=None, batch_size=None): X_train, X_test, y_train, y_test = self._load_data( url=url, pos=pos, bow_type=bow_type, vocab_size=vocab_size, verbose=self.verbose, random_state=self.random_state, train_size=train_size, ) for c_idx, col in enumerate(self.par_1): for r_idx, row in enumerate(self.par_2): model, y_pred, t0, t1 = self._fit_predict( X_train=X_train, y_train=y_train, X_test=X_test, batch_size=row, n_hl=n_hl, num_features=X_train.shape[1], n_classes=20, dropout=dropout, epochs=col, units=units, bias=bias, lr=lr, momentum=momentum, device=self.device, weights_init=weights_init, hl_actfunct=hl_actfunct, out_actfunct=out_actfunct, loss_funct=loss_funct, verbose=self.verbose, random_state=self.random_state ) self._store_metrics( c_idx=c_idx, r_idx=r_idx, t0=t0, t1=t1, y_test=y_test, y_pred=y_pred ) metrics_ = (self.training_time, self.searching_accScore, self.searching_prcScore, self.searching_rclScore, self.searching_f1Score) self._save_metrics( metrics=metrics_, par_1=self.par_1, par_2=self.par_2, path_filename=self.out_path_filename ) return self

31.635317

78

0.511892

1,823

16,482

4.279759

0.083379

0.056396

0.017047

0.017431

0.762753

0.744425

0.726609

0.721866

0.704435

0

0.014987

0.412996

16,482

520

79

31.696154

0.791421

0.010375

0

0.681604

0

0.007361

0.001533

0

1

0.035377

false

0

0.018868

0

0.084906

0.009434

0

null

0

1

0

null

0

5

0a7302203998c867dd6f655e6dd83c7553e0d89c

176

py

Python

ci/test_notebooks.py

sotarokatayama/nmpcsolver

7ee1710d4c8d2f4bceea70d5a2560d12eec29c8f

[ "MIT" ]

65

2019-09-17T07:00:14.000Z

2022-03-30T07:09:14.000Z

ci/test_notebooks.py

sotarokatayama/nmpcsolver

7ee1710d4c8d2f4bceea70d5a2560d12eec29c8f

[ "MIT" ]

12

2018-12-19T19:20:43.000Z

2019-08-27T20:16:45.000Z

ci/test_notebooks.py

sotarokatayama/nmpcsolver

7ee1710d4c8d2f4bceea70d5a2560d12eec29c8f

[ "MIT" ]

15

2019-09-16T16:07:58.000Z

2022-03-13T10:39:41.000Z

def test_cartpole(): import cartpole def test_hexacopter(): import hexacopter def test_pendubot(): import pendubot def test_mobilerobot(): import mobilerobot

16

23

0.738636

20

176

6.3

0.35

0.222222

0

0.193182

176

11

24

16

0.887324

0

1

0.5

true

0

0.5

0

1

0

1

0

null

1

0

null

0

1

0

1

0

5

0ab50520803fb46f795a649cfaef4842f866decf

5,094

py

Python

tests/test_utils.py

frankhood/django-url-tools

254b72775ca3a654eafa4601e4b275124b5b739e

[ "MIT" ]

null

tests/test_utils.py

frankhood/django-url-tools

254b72775ca3a654eafa4601e4b275124b5b739e

[ "MIT" ]

null

tests/test_utils.py

frankhood/django-url-tools

254b72775ca3a654eafa4601e4b275124b5b739e

[ "MIT" ]

null

from __future__ import absolute_import, print_function, unicode_literals from django.test import TestCase, override_settings from django.contrib.sites.models import Site from url_toolkit.utils import make_absolute_url, get_current_site_absolute, append_querystring class UtilsTest(TestCase): def setUp(self): super().setUp() self.site, _created = Site.objects.get_or_create(pk=1) def test_make_absolute_url(self): with self.subTest("test_make_absolute_url_with_absolute_path"): url = 'http://test.com' self.assertEqual(make_absolute_url(url), url) with self.subTest("test_make_absolute_url_without_absolute_path_and_is_secure"): url = '/test/' secure = True self.assertEqual(make_absolute_url(url, secure), 'https://' + str(self.site) + url) with self.subTest("test_make_absolute_url_without_absolute_path_and_not_secure"): url = '/test/' secure = False self.assertEqual(make_absolute_url(url, secure), 'http://' + str(self.site) + url) with self.subTest("test_make_absolute_url_without_absolute_path_and_none_secure"): url = '/test/' secure = None self.assertEqual(make_absolute_url(url, secure), 'http://' + str(self.site) + url) @override_settings(SITE_BASE_URL="https://exemple.com/") def test_make_absolute_url_with_SITE_BASE_URL(self): with self.subTest("test_make_absolute_url_without_absolute_path_and_none_secure"): url = '/test/' secure = None self.assertEqual(make_absolute_url(url, secure), "https://exemple.com" + url) def test_get_current_site_absolute(self): with self.subTest("test_get_current_site_absolute_without_request_and_secure_false"): self.assertEqual(get_current_site_absolute(), 'http://' + str(self.site)) with self.subTest("test_get_current_site_absolute_without_request_and_secure_true"): self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)) with self.subTest("test_get_current_site_absolute_without_request_and_secure_true_and_not_absolute_path_in_site"): if '://' in self.site.domain: self.site.domain = self.site.domain.split('://')[1] self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)) with self.subTest("test_get_current_site_absolute_without_request_and_secure_true_and_not_absolute_path_in_site"): if '://' in self.site.domain: self.site.domain = self.site.domain.split('://')[1] self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)) with self.subTest("test_get_current_site_absolute_without_request_and_secure_true_and_not_absolute_path_in_site"): if '://' in self.site.domain: self.site.domain = self.site.domain.split('://')[1] self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)) with self.subTest("test_get_current_site_absolute_without_request_and_secure_true_and_not_absolute_path_in_site"): self.site.domain = self.site.domain + '/' self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)[:-1]) self.site.domain = str(self.site.domain)[:-1] with self.subTest("test_get_current_site_absolute_with_request"): from django.test.client import RequestFactory request = RequestFactory().request() self.assertEqual(request.is_secure(), False) self.assertEqual(get_current_site_absolute(request, secure=True), 'http://' + str(self.site)) with self.subTest("test_get_current_site_absolute_with_slash_at_end"): self.site.domain = self.site.domain + '/' self.assertEqual(get_current_site_absolute(secure=True), 'https://' + str(self.site)[:-1]) self.site.domain = str(self.site.domain)[:-1] def test_append_querystring(self): with self.subTest("test_append_querystring_without_next_url"): self.assertEqual(append_querystring(None, key=0), None) with self.subTest("test_append_querystring_with_next_url"): self.assertEqual(append_querystring('test', key=0), "test?key=0") with self.subTest("test_append_querystring_with_next_url_no_kwargs"): self.assertEqual(append_querystring('test'), "test") with self.subTest("test_append_querystring_next_url_with_?"): self.assertEqual(append_querystring('test?', key=0), "test?&key=0") with self.subTest("test_append_querystring_next_url_with_multiple_args"): self.assertEqual(append_querystring('test', key=0, key1=1, key2=2), "test?key=0&key1=1&key2=2") with self.subTest("test_append_querystring_next_url_with_multiple_args"): self.assertEqual(append_querystring('test?key3=3', key=0, key1=1, key2=2), "test?key3=3&key=0&key1=1&key2=2")

51.454545

122

0.690224

664

5,094

4.920181

0.115964

0.071013

0.087236

0.110499

0.807775

0.77135

0.738292

0.728497

0.68595

0.611264

0

0.008935

0.187083

5,094

98

123

51.979592

0.780005

0

0.438356

0

0.27828

0.232129

0

0.273973

1

0.068493

false

0

0.068493

0

0.150685

0.013699

0

null

0

1

0

1

0

null

0

5

0ac2d3a3ee8bd2b98bc85dd8be3af2e77f1ab4bd

78

py

Python

curiosity/utils/error.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

curiosity/utils/error.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

2

2017-11-18T00:53:33.000Z

2017-11-18T00:53:40.000Z

curiosity/utils/error.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

class HiLossError(Exception): pass class NoChangeError(Exception): pass

11.142857

31

0.769231

8

78

7.5

0.625

0.433333

0

0.153846

78

6

32

13

0.909091

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

0ad5b686b8dd5aa751a135f5f32ba5959f0494d1

24

py

Python

BattleCity-NES/views/InitialPage.py

iOsnaaente/Kata-train_Code

22cdf9d087bad879875c1f70029bda0771242c50

[ "MIT" ]

null

BattleCity-NES/views/InitialPage.py

iOsnaaente/Kata-train_Code

22cdf9d087bad879875c1f70029bda0771242c50

[ "MIT" ]

null

BattleCity-NES/views/InitialPage.py

iOsnaaente/Kata-train_Code

22cdf9d087bad879875c1f70029bda0771242c50

[ "MIT" ]

null

#! usr/bin/dev python

8

22

0.625

4

24

3.75

1

0

0.208333

24

2

23

12

0.789474

0.833333

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

0aeecbf40a58ecc911e0ae499c637bbfd06beca0

80

py

Python

src/templates/classic/tests/test_main.py

pyansys/create-python-project

e289b5042fd95ca99c6d29e107e2114a5b9a7b15

[ "MIT" ]

4

2022-02-08T12:37:49.000Z

2022-03-29T04:45:10.000Z

src/templates/classic/tests/test_main.py

pyansys/create-python-project

e289b5042fd95ca99c6d29e107e2114a5b9a7b15

[ "MIT" ]

26

2022-02-08T12:48:52.000Z

2022-03-28T08:58:47.000Z

src/templates/classic/tests/test_main.py

pyansys/create-python-project

e289b5042fd95ca99c6d29e107e2114a5b9a7b15

[ "MIT" ]

1

2022-03-16T12:57:24.000Z

import pytest @pytest.mark.smoke def test_expected_to_pass(): assert True

11.428571

28

0.7625

12

80

4.833333

0.916667

0

0.1625

80

6

29

13.333333

0.865672

0

0.25

1

0.25

true

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

7c14086e60b0c9da30993f576344996a979b0a93

187

py

Python

time_helpers.py

dstansby/solarsynoptic

e8f2a4d58d8beb3fd5e8d85f6294148653e79e50

[ "BSD-2-Clause" ]

2

2020-07-27T15:19:16.000Z

2021-04-27T09:44:28.000Z

time_helpers.py

dstansby/solarsynoptic

e8f2a4d58d8beb3fd5e8d85f6294148653e79e50

[ "BSD-2-Clause" ]

2

2022-01-10T17:33:00.000Z

2022-01-17T19:50:07.000Z

time_helpers.py

dstansby/solarsynoptic

e8f2a4d58d8beb3fd5e8d85f6294148653e79e50

[ "BSD-2-Clause" ]

null

from datetime import datetime def start_of_day(dtime): """ Return a datetime at time 00:00:00 on the given date. """ return datetime(dtime.year, dtime.month, dtime.day)

20.777778

57

0.684492

29

187

4.344828

0.655172

0.063492

0

0.040816

0.213904

187

8

58

23.375

0.816327

0.283422

0

1

0.333333

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7c6d315f515582aba789b460eca42deb226d210b

129

py

Python

1_languages/python/src/modules/combine/functions/string_funcs.py

praisetompane/3_programming

dd3e2e89a36a613d895fdbdd9c03845cb648fddf

[ "MIT" ]

null

1_languages/python/src/modules/combine/functions/string_funcs.py

praisetompane/3_programming

dd3e2e89a36a613d895fdbdd9c03845cb648fddf

[ "MIT" ]

null

1_languages/python/src/modules/combine/functions/string_funcs.py

praisetompane/3_programming

dd3e2e89a36a613d895fdbdd9c03845cb648fddf

[ "MIT" ]

null

"""this is a module doc""" #set values to expose as interface __all__ = ['concatenate'] def concatenate(x, y): return x + y

18.428571

34

0.666667

20

129

4.1

0.85

0.04878

0

0.20155

129

7

35

18.428571

0.796117

0.418605

0

0.157143

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

7c8ee74341338cd230a7a7a50aa7a8662c810288

2,161

py

Python

exercises/triangle/triangle_test.py

Alexhans/python

41287dda364e11edbaeda7cc50994d951007e835

[ "MIT" ]

2

2019-07-25T04:40:24.000Z

2020-12-18T21:29:02.000Z

exercises/triangle/triangle_test.py

toroad/python

ce085c81a82ae5fb460fe166323dbbaa5a2588c5

[ "MIT" ]

null

exercises/triangle/triangle_test.py

toroad/python

ce085c81a82ae5fb460fe166323dbbaa5a2588c5

[ "MIT" ]

null

import unittest from triangle import is_equilateral, is_isosceles, is_scalene # Tests adapted from `problem-specifications//canonical-data.json` @ v1.1.0 class is_equilateralTests(unittest.TestCase): def test_true_if_all_sides_are_equal(self): self.assertIs(is_equilateral([2, 2, 2]), True) def test_false_if_any_side_is_unequal(self): self.assertIs(is_equilateral([2, 3, 2]), False) def test_false_if_no_sides_are_equal(self): self.assertIs(is_equilateral([5, 4, 6]), False) def test_false_if_all_sides_are_zero(self): self.assertIs(is_equilateral([0, 0, 0]), False) def test_sides_may_be_floats(self): self.assertIs(is_equilateral([0.5, 0.5, 0.5]), True) class is_isoscelesTests(unittest.TestCase): def test_true_if_last_two_sides_are_equal(self): self.assertIs(is_isosceles([3, 4, 4]), True) def test_true_if_first_two_sides_are_equal(self): self.assertIs(is_isosceles([4, 4, 3]), True) def test_true_if_first_and_last_sides_are_equal(self): self.assertIs(is_isosceles([4, 3, 4]), True) def test_is_equilateral_triangles_are_also_is_isosceles(self): self.assertIs(is_isosceles([4, 4, 4]), True) def test_false_if_no_sides_are_equal(self): self.assertIs(is_isosceles([2, 3, 4]), False) def test_violation_of_triangle_inequality_not_is_isosceles(self): self.assertIs(is_isosceles([1, 1, 3]), False) def test_sides_may_be_floats(self): self.assertIs(is_isosceles([0.5, 0.4, 0.5]), True) class is_scaleneTests(unittest.TestCase): def test_true_if_no_sides_are_equal(self): self.assertIs(is_scalene([5, 4, 6]), True) def test_false_if_all_sides_are_equal(self): self.assertIs(is_scalene([4, 4, 4]), False) def test_false_if_two_sides_are_equal(self): self.assertIs(is_scalene([4, 4, 3]), False) def test_violation_of_triangle_inequality_not_is_scalene(self): self.assertIs(is_scalene([7, 3, 2]), False) def test_sides_may_be_floats(self): self.assertIs(is_scalene([0.5, 0.4, 0.6]), True) if __name__ == '__main__': unittest.main()

32.253731

75

0.711708

341

2,161

4.117302

0.175953

0.084758

0.193732

0.217949

0.784188

0.685897

0.543447

0.462251

0.433048

0.222222

0

0.034981

0.16659

2,161

66

76

32.742424

0.744586

0.033781

0

0.121951

0

0.003835

0

0.414634

1

0.414634

false

0

0.04878

0

0.536585

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7caa5bf7e6ca3919c72cfc4bac657ebc4f0c71e5

13,521

py

Python

river/facto/fm.py

fox-ds/river

9ce947ebfc012ec7059de0a09c765b2da7fc1d25

[ "BSD-3-Clause" ]

null

river/facto/fm.py

fox-ds/river

9ce947ebfc012ec7059de0a09c765b2da7fc1d25

[ "BSD-3-Clause" ]

null

river/facto/fm.py

fox-ds/river

9ce947ebfc012ec7059de0a09c765b2da7fc1d25

[ "BSD-3-Clause" ]

null

import collections import functools import itertools import typing import numpy as np from river import base, optim, utils from .base import BaseFM __all__ = ["FMClassifier", "FMRegressor"] class FM(BaseFM): """Factorization machine base class.""" def __init__( self, n_factors, weight_optimizer, latent_optimizer, loss, sample_normalization, l1_weight, l2_weight, l1_latent, l2_latent, intercept, intercept_lr, weight_initializer, latent_initializer, clip_gradient, seed, ): super().__init__( n_factors=n_factors, weight_optimizer=weight_optimizer, latent_optimizer=latent_optimizer, loss=loss, sample_normalization=sample_normalization, l1_weight=l1_weight, l2_weight=l2_weight, l1_latent=l1_latent, l2_latent=l2_latent, intercept=intercept, intercept_lr=intercept_lr, weight_initializer=weight_initializer, latent_initializer=latent_initializer, clip_gradient=clip_gradient, seed=seed, ) def _init_latents(self): random_latents = functools.partial( self.latent_initializer, shape=self.n_factors ) return collections.defaultdict(random_latents) def _interaction_names(self, x): return [f"{j1} - {j2}" for j1, j2 in itertools.combinations(x.keys(), 2)] def _interaction_combination_keys(self, x): return itertools.combinations(x.keys(), 2) def _interaction_val(self, x, combination): return functools.reduce(lambda x, y: x * y, (x[j] for j in combination)) def _interaction_coefficient(self, combination): j1, j2 = combination return np.dot(self.latents[j1], self.latents[j2]) def _calculate_weights_gradients(self, x, g_loss): # For notational convenience w, l1, l2, sign = self.weights, self.l1_weight, self.l2_weight, utils.math.sign return {j: g_loss * xj + l1 * sign(w[j]) + l2 * w[j] for j, xj in x.items()} def _update_latents(self, x, g_loss): # For notational convenience v, l1, l2, sign = self.latents, self.l1_latent, self.l2_latent, utils.math.sign # Precompute feature independent sum for time efficiency precomputed_sum = { f: sum(v[j][f] * xj for j, xj in x.items()) for f in range(self.n_factors) } # Calculate each latent factor gradient before updating any gradients = {} for j, xj in x.items(): gradients[j] = { f: g_loss * (xj * precomputed_sum[f] - v[j][f] * xj**2) + l1 * sign(v[j][f]) + l2 * v[j][f] for f in range(self.n_factors) } # Finally update the latent weights for j in x.keys(): self.latents[j] = self.latent_optimizer.step(w=v[j], g=gradients[j]) class FMRegressor(FM, base.Regressor): """Factorization Machine for regression. The model equation is defined as: $$\\hat{y}(x) = w_{0} + \\sum_{j=1}^{p} w_{j} x_{j} + \\sum_{j=1}^{p} \\sum_{j'=j+1}^{p} \\langle \\mathbf{v}_j, \\mathbf{v}_{j'} \\rangle x_{j} x_{j'}$$ Where $\\mathbf{v}_j$ and $\\mathbf{v}_{j'}$ are $j$ and $j'$ latent vectors, respectively. For more efficiency, this model automatically one-hot encodes strings features considering them as categorical variables. Parameters ---------- n_factors Dimensionality of the factorization or number of latent factors. weight_optimizer The sequential optimizer used for updating the feature weights. Note that the intercept is handled separately. latent_optimizer The sequential optimizer used for updating the latent factors. loss The loss function to optimize for. sample_normalization Whether to divide each element of `x` by `x`'s L2-norm. l1_weight Amount of L1 regularization used to push weights towards 0. l2_weight Amount of L2 regularization used to push weights towards 0. l1_latent Amount of L1 regularization used to push latent weights towards 0. l2_latent Amount of L2 regularization used to push latent weights towards 0. intercept Initial intercept value. intercept_lr Learning rate scheduler used for updating the intercept. An instance of `optim.schedulers.Constant` is used if a `float` is passed. No intercept will be used if this is set to 0. weight_initializer Weights initialization scheme. Defaults to `optim.initializers.Zeros()`. latent_initializer Latent factors initialization scheme. Defaults to `optim.initializers.Normal(mu=.0, sigma=.1, random_state=self.random_state)`. clip_gradient Clips the absolute value of each gradient value. seed Randomization seed used for reproducibility. Attributes ---------- weights The current weights assigned to the features. latents The current latent weights assigned to the features. Examples -------- >>> from river import facto >>> dataset = ( ... ({'user': 'Alice', 'item': 'Superman'}, 8), ... ({'user': 'Alice', 'item': 'Terminator'}, 9), ... ({'user': 'Alice', 'item': 'Star Wars'}, 8), ... ({'user': 'Alice', 'item': 'Notting Hill'}, 2), ... ({'user': 'Alice', 'item': 'Harry Potter '}, 5), ... ({'user': 'Bob', 'item': 'Superman'}, 8), ... ({'user': 'Bob', 'item': 'Terminator'}, 9), ... ({'user': 'Bob', 'item': 'Star Wars'}, 8), ... ({'user': 'Bob', 'item': 'Notting Hill'}, 2) ... ) >>> model = facto.FMRegressor( ... n_factors=10, ... intercept=5, ... seed=42, ... ) >>> for x, y in dataset: ... _ = model.learn_one(x, y) >>> model.predict_one({'Bob': 1, 'Harry Potter': 1}) 5.236504 >>> report = model.debug_one({'Bob': 1, 'Harry Potter': 1}) >>> print(report) Name Value Weight Contribution Intercept 1.00000 5.23426 5.23426 Bob - Harry Potter 1.00000 0.00224 0.00224 Harry Potter 1.00000 0.00000 0.00000 Bob 1.00000 0.00000 0.00000 References ---------- [^1]: [Rendle, S., 2010, December. Factorization machines. In 2010 IEEE International Conference on Data Mining (pp. 995-1000). IEEE.](https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf) [^2]: [Rendle, S., 2012, May. Factorization Machines with libFM. In ACM Transactions on Intelligent Systems and Technology 3, 3, Article 57, 22 pages.](https://analyticsconsultores.com.mx/wp-content/uploads/2019/03/Factorization-Machines-with-libFM-Steffen-Rendle-University-of-Konstanz2012-.pdf) """ def __init__( self, n_factors=10, weight_optimizer: optim.Optimizer = None, latent_optimizer: optim.Optimizer = None, loss: optim.losses.RegressionLoss = None, sample_normalization=False, l1_weight=0.0, l2_weight=0.0, l1_latent=0.0, l2_latent=0.0, intercept=0.0, intercept_lr: typing.Union[optim.schedulers.Scheduler, float] = 0.01, weight_initializer: optim.initializers.Initializer = None, latent_initializer: optim.initializers.Initializer = None, clip_gradient=1e12, seed: int = None, ): super().__init__( n_factors=n_factors, weight_optimizer=weight_optimizer, latent_optimizer=latent_optimizer, loss=optim.losses.Squared() if loss is None else loss, sample_normalization=sample_normalization, l1_weight=l1_weight, l2_weight=l2_weight, l1_latent=l1_latent, l2_latent=l2_latent, intercept=intercept, intercept_lr=intercept_lr, weight_initializer=weight_initializer, latent_initializer=latent_initializer, clip_gradient=clip_gradient, seed=seed, ) def predict_one(self, x): x = self._ohe_cat_features(x) return self._raw_dot(x) class FMClassifier(FM, base.Classifier): """Factorization Machine for binary classification. The model equation is defined as: $$\\hat{y}(x) = w_{0} + \\sum_{j=1}^{p} w_{j} x_{j} + \\sum_{j=1}^{p} \\sum_{j'=j+1}^{p} \\langle \\mathbf{v}_j, \\mathbf{v}_{j'} \\rangle x_{j} x_{j'}$$ Where $\\mathbf{v}_j$ and $\\mathbf{v}_{j'}$ are $j$ and $j'$ latent vectors, respectively. For more efficiency, this model automatically one-hot encodes strings features considering them as categorical variables. Parameters ---------- n_factors Dimensionality of the factorization or number of latent factors. weight_optimizer The sequential optimizer used for updating the feature weights. Note that the intercept is handled separately. latent_optimizer The sequential optimizer used for updating the latent factors. loss The loss function to optimize for. sample_normalization Whether to divide each element of `x` by `x`'s L2-norm. l1_weight Amount of L1 regularization used to push weights towards 0. l2_weight Amount of L2 regularization used to push weights towards 0. l1_latent Amount of L1 regularization used to push latent weights towards 0. l2_latent Amount of L2 regularization used to push latent weights towards 0. intercept Initial intercept value. intercept_lr Learning rate scheduler used for updating the intercept. An instance of `optim.schedulers.Constant` is used if a `float` is passed. No intercept will be used if this is set to 0. weight_initializer Weights initialization scheme. Defaults to `optim.initializers.Zeros()`. latent_initializer Latent factors initialization scheme. Defaults to `optim.initializers.Normal(mu=.0, sigma=.1, random_state=self.random_state)`. clip_gradient Clips the absolute value of each gradient value. seed Randomization seed used for reproducibility. Attributes ---------- weights The current weights assigned to the features. latents The current latent weights assigned to the features. Examples -------- >>> from river import facto >>> dataset = ( ... ({'user': 'Alice', 'item': 'Superman'}, True), ... ({'user': 'Alice', 'item': 'Terminator'}, True), ... ({'user': 'Alice', 'item': 'Star Wars'}, True), ... ({'user': 'Alice', 'item': 'Notting Hill'}, False), ... ({'user': 'Alice', 'item': 'Harry Potter '}, True), ... ({'user': 'Bob', 'item': 'Superman'}, True), ... ({'user': 'Bob', 'item': 'Terminator'}, True), ... ({'user': 'Bob', 'item': 'Star Wars'}, True), ... ({'user': 'Bob', 'item': 'Notting Hill'}, False) ... ) >>> model = facto.FMClassifier( ... n_factors=10, ... seed=42, ... ) >>> for x, y in dataset: ... _ = model.learn_one(x, y) >>> model.predict_one({'Bob': 1, 'Harry Potter': 1}) True References ---------- [^1]: [Rendle, S., 2010, December. Factorization machines. In 2010 IEEE International Conference on Data Mining (pp. 995-1000). IEEE.](https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf) [^2]: [Rendle, S., 2012, May. Factorization Machines with libFM. In ACM Transactions on Intelligent Systems and Technology 3, 3, Article 57, 22 pages.](https://analyticsconsultores.com.mx/wp-content/uploads/2019/03/Factorization-Machines-with-libFM-Steffen-Rendle-University-of-Konstanz2012-.pdf) """ def __init__( self, n_factors=10, weight_optimizer: optim.Optimizer = None, latent_optimizer: optim.Optimizer = None, loss: optim.losses.BinaryLoss = None, sample_normalization=False, l1_weight=0.0, l2_weight=0.0, l1_latent=0.0, l2_latent=0.0, intercept=0.0, intercept_lr: typing.Union[optim.schedulers.Scheduler, float] = 0.01, weight_initializer: optim.initializers.Initializer = None, latent_initializer: optim.initializers.Initializer = None, clip_gradient=1e12, seed: int = None, ): super().__init__( n_factors=n_factors, weight_optimizer=weight_optimizer, latent_optimizer=latent_optimizer, loss=optim.losses.Log() if loss is None else loss, sample_normalization=sample_normalization, l1_weight=l1_weight, l2_weight=l2_weight, l1_latent=l1_latent, l2_latent=l2_latent, intercept=intercept, intercept_lr=intercept_lr, weight_initializer=weight_initializer, latent_initializer=latent_initializer, clip_gradient=clip_gradient, seed=seed, ) def predict_proba_one(self, x): x = self._ohe_cat_features(x) p = utils.math.sigmoid(self._raw_dot(x)) # Convert logit to probability return {False: 1.0 - p, True: p}

35.581579

300

0.612011

1,635

13,521

4.912538

0.174924

0.015936

0.016185

0.023904

0.790712

0.745144

0.733068

0.708665

0.701693

0

0.033692

0.271208

13,521

379

301

35.675462

0.781409

0.526292

0

0.541935

0

0.005927

0

1

0.077419

false

0

0.045161

0.019355

0.193548

0

null

0

1

0

null

0

5

7ce4d216ac7dc23fc5b4d6096460bd7eab312c0e

18,082

py

Python

venus/db/yasdl/parsetab.py

nagylzs/python-venus-lib

336d20532c32e874ab0a43cf866092b9e55dded5

[ "Apache-2.0" ]

null

venus/db/yasdl/parsetab.py

nagylzs/python-venus-lib

336d20532c32e874ab0a43cf866092b9e55dded5

[ "Apache-2.0" ]

1

2019-02-15T13:40:49.000Z

venus/db/yasdl/parsetab.py

nagylzs/python-venus-lib

336d20532c32e874ab0a43cf866092b9e55dded5

[ "Apache-2.0" ]

null

# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'yasdABSTRACT ALL ARROW AS COLON CONSTRAINT DELETE DOT EQUALS FALSE FIELD FIELDS FIELDSET FINAL FLOAT INDEX INT LBRACE LBRACKET MINUS NAME NONE PLUS PROPERTY RBRACE RBRACKET REQUIRE REQUIRED SCHEMA SEMICOLON STRING TRUE USEdotted_name : SCHEMA DOT simple_dotted_namedotted_name : simple_dotted_namesimple_dotted_name : NAME DOT simple_dotted_namesimple_dotted_name : NAME min_classesmin_classes : min_classes : LBRACKET minclassitems RBRACKET minclassitems : minclassitem minclassitems minclassitems : minclassitem minclassitem : SCHEMA minclassitem : FIELDSET minclassitem : FIELD minclassitem : INDEX minclassitem : PROPERTY imp_name : EQUALS dotted_nameimp_name : dotted_nameschema_name : NAMEschema_name : NAME DOT schema_nameyasd : SCHEMA schema_name LBRACE uses defs RBRACE uses : use uses uses : use use : USE schema_name AS NAME SEMICOLON\n | REQUIRE schema_name AS NAME SEMICOLON\n | USE STRING AS NAME SEMICOLON\n | REQUIRE STRING AS NAME SEMICOLON\n use : USE NAME SEMICOLON\n | REQUIRE NAME SEMICOLONuse : modifiers : modifier modifiersmodifiers : modifiermodifier : modifier : ABSTRACT\n | FINAL\n | REQUIREDdefs : def defs defs : def def : fielddef\n | fieldsetdef\n | simpleprop\n defs : fielddef : modifiers FIELD NAME typedef fieldpropsfielddef : modifiers FIELD NAME typedef ARROW imp_name fieldpropsfieldprops : SEMICOLONfieldprops : LBRACE simpleprops RBRACE fieldsetdef : modifiers FIELDSET NAME typedef SEMICOLONfieldsetdef : modifiers FIELDSET NAME typedef LBRACE fsitems RBRACE fsitems : fsitem fsitems fsitems : fsitem fsitem : simpleprop fsitem : fielddef\n | fieldsetdef\n | indexdef fsitem : deletiondeletion : DELETE NAME SEMICOLONindexdef : INDEX NAME LBRACE idxitems RBRACE idxitems : idxitem idxitems idxitems : idxitem idxitem : simpleprop indexdef : CONSTRAINT NAME LBRACE constraintitems RBRACE constraintitems : constraintitem constraintitems constraintitems : constraintitem constraintitem : simpleprop typedef : COLON typedef_items typedef : typedef_items : imp_name typedef_items typedef_items : imp_name indexdef : INDEX NAME indexpropsindexprops : LBRACE simpleprops RBRACE simpleprops : simpleprop simplepropssimpleprops : simpleprop simpleprops : simpleprop : NAME propvalues SEMICOLONsimpleprop : FIELDS idxfields SEMICOLONidxfields : idxfield idxfieldsidxfields : idxfieldidxfield : PLUS dotted_nameidxfield : MINUS dotted_nameidxfield : dotted_namepropvalues : propvalue propvaluespropvalues : propvalue propvalues : propvalue : FLOATpropvalue : INTpropvalue : NONEpropvalue : ALLpropvalue : STRINGpropvalue : TRUEpropvalue : FALSEpropvalue : imp_name' _lr_action_items = {'SCHEMA':([0,18,19,35,37,38,39,40,41,42,43,44,45,46,47,49,51,52,53,54,65,66,69,73,74,80,82,84,85,86,87,88,89,90,96,100,103,],[2,48,48,-5,48,-81,-82,-83,-84,-85,-86,-87,-88,48,-15,-2,48,48,-77,48,-4,85,-14,-75,-76,48,-3,85,-9,-10,-11,-12,-13,-1,48,48,-6,]),'$end':([1,31,],[0,-18,]),'NAME':([2,5,6,7,8,9,10,13,14,15,16,18,19,24,33,34,35,37,38,39,40,41,42,43,44,45,46,47,49,51,52,53,54,56,57,58,59,60,61,64,65,67,69,70,71,73,74,80,82,90,91,92,93,94,95,96,97,98,100,101,102,103,107,110,111,112,113,114,115,116,117,118,119,120,122,127,128,129,130,133,134,136,137,138,139,141,142,],[4,-27,4,18,-20,26,29,18,-36,-37,-38,35,35,-19,62,63,-5,35,-81,-82,-83,-84,-85,-86,-87,-88,35,-15,-2,35,35,-77,35,75,-25,76,77,-26,78,35,-4,-71,-14,35,-72,-75,-76,35,-3,-1,-21,-23,-22,-24,-40,35,-42,18,35,-44,18,-6,18,18,-48,-49,-50,-51,-52,124,125,126,-41,-43,-45,18,-66,18,-53,18,18,18,-61,-54,-67,-57,-58,]),'LBRACE':([3,4,11,35,47,49,62,63,65,69,79,81,82,90,99,100,103,105,108,124,125,],[5,-16,-17,-5,-15,-2,-63,-63,-4,-14,98,102,-3,-1,-62,-65,-6,98,-64,127,129,]),'AS':([4,11,25,26,27,28,29,30,],[-16,-17,56,-16,58,59,-16,61,]),'DOT':([4,26,29,35,48,],[6,6,6,64,70,]),'USE':([5,8,57,60,91,92,93,94,],[9,9,-25,-26,-21,-23,-22,-24,]),'REQUIRE':([5,8,57,60,91,92,93,94,],[10,10,-25,-26,-21,-23,-22,-24,]),'FIELDS':([5,7,8,13,14,15,16,24,57,60,67,71,91,92,93,94,95,97,98,101,102,107,110,111,112,113,114,115,119,120,122,127,128,129,130,133,134,136,137,138,139,141,142,],[-27,19,-20,19,-36,-37,-38,-19,-25,-26,-71,-72,-21,-23,-22,-24,-40,-42,19,-44,19,19,19,-48,-49,-50,-51,-52,-41,-43,-45,19,-66,19,-53,19,19,19,-61,-54,-67,-57,-58,]),'ABSTRACT':([5,7,8,13,14,15,16,20,21,22,23,24,57,60,67,71,91,92,93,94,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-27,21,-20,21,-36,-37,-38,21,-31,-32,-33,-19,-25,-26,-71,-72,-21,-23,-22,-24,-40,-42,-44,21,21,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'FINAL':([5,7,8,13,14,15,16,20,21,22,23,24,57,60,67,71,91,92,93,94,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-27,22,-20,22,-36,-37,-38,22,-31,-32,-33,-19,-25,-26,-71,-72,-21,-23,-22,-24,-40,-42,-44,22,22,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'REQUIRED':([5,7,8,13,14,15,16,20,21,22,23,24,57,60,67,71,91,92,93,94,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-27,23,-20,23,-36,-37,-38,23,-31,-32,-33,-19,-25,-26,-71,-72,-21,-23,-22,-24,-40,-42,-44,23,23,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'RBRACE':([5,7,8,12,13,14,15,16,24,32,57,60,67,71,91,92,93,94,95,97,98,101,106,107,109,110,111,112,113,114,115,119,120,121,122,123,127,128,130,131,132,133,134,135,136,137,138,139,140,141,142,143,],[-27,-39,-20,31,-35,-36,-37,-38,-19,-34,-25,-26,-71,-72,-21,-23,-22,-24,-40,-42,-70,-44,120,-69,122,-47,-48,-49,-50,-51,-52,-41,-43,-68,-45,-46,-70,-66,-53,138,139,-56,-57,142,-60,-61,-54,-67,-55,-57,-58,-59,]),'FIELD':([5,7,8,13,14,15,16,17,20,21,22,23,24,55,57,60,66,67,71,84,85,86,87,88,89,91,92,93,94,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-27,-30,-20,-30,-36,-37,-38,33,-29,-31,-32,-33,-19,-28,-25,-26,87,-71,-72,87,-9,-10,-11,-12,-13,-21,-23,-22,-24,-40,-42,-44,-30,-30,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'FIELDSET':([5,7,8,13,14,15,16,17,20,21,22,23,24,55,57,60,66,67,71,84,85,86,87,88,89,91,92,93,94,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-27,-30,-20,-30,-36,-37,-38,34,-29,-31,-32,-33,-19,-28,-25,-26,86,-71,-72,86,-9,-10,-11,-12,-13,-21,-23,-22,-24,-40,-42,-44,-30,-30,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'STRING':([9,10,18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[27,30,42,-5,42,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'SEMICOLON':([18,26,29,35,36,37,38,39,40,41,42,43,44,45,47,49,50,51,53,62,63,65,68,69,72,73,74,75,76,77,78,79,81,82,90,99,100,103,105,108,126,],[-80,57,60,-5,67,-79,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,71,-74,-77,-63,-63,-4,-78,-14,-73,-75,-76,91,92,93,94,97,101,-3,-1,-62,-65,-6,97,-64,130,]),'FLOAT':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[38,-5,38,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'INT':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[39,-5,39,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'NONE':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[40,-5,40,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'ALL':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[41,-5,41,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'TRUE':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[43,-5,43,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'FALSE':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,82,90,103,],[44,-5,44,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,-3,-1,-6,]),'EQUALS':([18,35,37,38,39,40,41,42,43,44,45,47,49,65,69,80,82,90,96,100,103,],[46,-5,46,-81,-82,-83,-84,-85,-86,-87,-88,-15,-2,-4,-14,46,-3,-1,46,46,-6,]),'PLUS':([19,35,49,51,53,65,73,74,82,90,103,],[52,-5,-2,52,-77,-4,-75,-76,-3,-1,-6,]),'MINUS':([19,35,49,51,53,65,73,74,82,90,103,],[54,-5,-2,54,-77,-4,-75,-76,-3,-1,-6,]),'ARROW':([35,47,49,62,65,69,79,82,90,99,100,103,108,],[-5,-15,-2,-63,-4,-14,96,-3,-1,-62,-65,-6,-64,]),'LBRACKET':([35,],[66,]),'COLON':([62,63,],[80,80,]),'INDEX':([66,67,71,84,85,86,87,88,89,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[88,-71,-72,88,-9,-10,-11,-12,-13,-40,-42,-44,116,116,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'PROPERTY':([66,84,85,86,87,88,89,],[89,89,-9,-10,-11,-12,-13,]),'CONSTRAINT':([67,71,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-71,-72,-40,-42,-44,117,117,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'DELETE':([67,71,95,97,101,102,110,111,112,113,114,115,119,120,122,128,130,138,139,142,],[-71,-72,-40,-42,-44,118,118,-48,-49,-50,-51,-52,-41,-43,-45,-66,-53,-54,-67,-58,]),'RBRACKET':([83,84,85,86,87,88,89,104,],[103,-8,-9,-10,-11,-12,-13,-7,]),} _lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'yasd':([0,],[1,]),'schema_name':([2,6,9,10,],[3,11,25,28,]),'uses':([5,8,],[7,24,]),'use':([5,8,],[8,8,]),'defs':([7,13,],[12,32,]),'def':([7,13,],[13,13,]),'fielddef':([7,13,102,110,],[14,14,112,112,]),'fieldsetdef':([7,13,102,110,],[15,15,113,113,]),'simpleprop':([7,13,98,102,107,110,127,129,133,134,136,],[16,16,107,111,107,111,134,137,141,107,137,]),'modifiers':([7,13,20,102,110,],[17,17,55,17,17,]),'modifier':([7,13,20,102,110,],[20,20,20,20,20,]),'propvalues':([18,37,],[36,68,]),'propvalue':([18,37,],[37,37,]),'imp_name':([18,37,80,96,100,],[45,45,100,105,100,]),'dotted_name':([18,19,37,46,51,52,54,80,96,100,],[47,53,47,69,53,73,74,47,47,47,]),'simple_dotted_name':([18,19,37,46,51,52,54,64,70,80,96,100,],[49,49,49,49,49,49,49,82,90,49,49,49,]),'idxfields':([19,51,],[50,72,]),'idxfield':([19,51,],[51,51,]),'min_classes':([35,],[65,]),'typedef':([62,63,],[79,81,]),'minclassitems':([66,84,],[83,104,]),'minclassitem':([66,84,],[84,84,]),'fieldprops':([79,105,],[95,119,]),'typedef_items':([80,100,],[99,108,]),'simpleprops':([98,107,127,134,],[106,121,132,121,]),'fsitems':([102,110,],[109,123,]),'fsitem':([102,110,],[110,110,]),'indexdef':([102,110,],[114,114,]),'deletion':([102,110,],[115,115,]),'indexprops':([124,],[128,]),'idxitems':([127,133,],[131,140,]),'idxitem':([127,133,],[133,133,]),'constraintitems':([129,136,],[135,143,]),'constraintitem':([129,136,],[136,136,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> yasd","S'",1,None,None,None), ('dotted_name -> SCHEMA DOT simple_dotted_name','dotted_name',3,'p_dotted_name_absolute_1','yacc.py',37), ('dotted_name -> simple_dotted_name','dotted_name',1,'p_dotted_name_simple_dotted_name','yacc.py',45), ('simple_dotted_name -> NAME DOT simple_dotted_name','simple_dotted_name',3,'p_dotted_name_dotted_name','yacc.py',50), ('simple_dotted_name -> NAME min_classes','simple_dotted_name',2,'p_dotted_name_name','yacc.py',59), ('min_classes -> <empty>','min_classes',0,'p_min_classes_empty','yacc.py',71), ('min_classes -> LBRACKET minclassitems RBRACKET','min_classes',3,'p_min_classes_items','yacc.py',76), ('minclassitems -> minclassitem minclassitems','minclassitems',2,'p_minclassitems_item','yacc.py',81), ('minclassitems -> minclassitem','minclassitems',1,'p_minclassitems_single','yacc.py',86), ('minclassitem -> SCHEMA','minclassitem',1,'p_minclassitem_schema','yacc.py',91), ('minclassitem -> FIELDSET','minclassitem',1,'p_minclassitem_fieldset','yacc.py',96), ('minclassitem -> FIELD','minclassitem',1,'p_minclassitem_field','yacc.py',101), ('minclassitem -> INDEX','minclassitem',1,'p_minclassitem_index','yacc.py',106), ('minclassitem -> PROPERTY','minclassitem',1,'p_minclassitem_property','yacc.py',111), ('imp_name -> EQUALS dotted_name','imp_name',2,'p_imp_name_eq_dotted_name','yacc.py',116), ('imp_name -> dotted_name','imp_name',1,'p_imp_name_dotted_name','yacc.py',123), ('schema_name -> NAME','schema_name',1,'p_schema_simple_name','yacc.py',130), ('schema_name -> NAME DOT schema_name','schema_name',3,'p_schema_package_name','yacc.py',139), ('yasd -> SCHEMA schema_name LBRACE uses defs RBRACE','yasd',6,'p_yasd','yacc.py',148), ('uses -> use uses','uses',2,'p_uses','yacc.py',155), ('uses -> use','uses',1,'p_uses_use','yacc.py',160), ('use -> USE schema_name AS NAME SEMICOLON','use',5,'p_use_as','yacc.py',165), ('use -> REQUIRE schema_name AS NAME SEMICOLON','use',5,'p_use_as','yacc.py',166), ('use -> USE STRING AS NAME SEMICOLON','use',5,'p_use_as','yacc.py',167), ('use -> REQUIRE STRING AS NAME SEMICOLON','use',5,'p_use_as','yacc.py',168), ('use -> USE NAME SEMICOLON','use',3,'p_use','yacc.py',179), ('use -> REQUIRE NAME SEMICOLON','use',3,'p_use','yacc.py',180), ('use -> <empty>','use',0,'p_use_empty','yacc.py',190), ('modifiers -> modifier modifiers','modifiers',2,'p_modifiers_modifiers','yacc.py',195), ('modifiers -> modifier','modifiers',1,'p_modifiers_modifier','yacc.py',200), ('modifier -> <empty>','modifier',0,'p_modifier_empty','yacc.py',205), ('modifier -> ABSTRACT','modifier',1,'p_modifier','yacc.py',210), ('modifier -> FINAL','modifier',1,'p_modifier','yacc.py',211), ('modifier -> REQUIRED','modifier',1,'p_modifier','yacc.py',212), ('defs -> def defs','defs',2,'p_defs','yacc.py',217), ('defs -> def','defs',1,'p_defs_def','yacc.py',222), ('def -> fielddef','def',1,'p_def','yacc.py',227), ('def -> fieldsetdef','def',1,'p_def','yacc.py',228), ('def -> simpleprop','def',1,'p_def','yacc.py',229), ('defs -> <empty>','defs',0,'p_defs_empty','yacc.py',238), ('fielddef -> modifiers FIELD NAME typedef fieldprops','fielddef',5,'p_fielddef_simple','yacc.py',243), ('fielddef -> modifiers FIELD NAME typedef ARROW imp_name fieldprops','fielddef',7,'p_fielddef_ref','yacc.py',257), ('fieldprops -> SEMICOLON','fieldprops',1,'p_fieldprops_empty','yacc.py',278), ('fieldprops -> LBRACE simpleprops RBRACE','fieldprops',3,'p_fieldprops','yacc.py',283), ('fieldsetdef -> modifiers FIELDSET NAME typedef SEMICOLON','fieldsetdef',5,'p_fieldsetdef_simple','yacc.py',288), ('fieldsetdef -> modifiers FIELDSET NAME typedef LBRACE fsitems RBRACE','fieldsetdef',7,'p_fieldsetdef_complex','yacc.py',302), ('fsitems -> fsitem fsitems','fsitems',2,'p_fsitems_many','yacc.py',316), ('fsitems -> fsitem','fsitems',1,'p_fsitems_one','yacc.py',321), ('fsitem -> simpleprop','fsitem',1,'p_fsitem_simpleprop','yacc.py',326), ('fsitem -> fielddef','fsitem',1,'p_fsitem_defs','yacc.py',331), ('fsitem -> fieldsetdef','fsitem',1,'p_fsitem_defs','yacc.py',332), ('fsitem -> indexdef','fsitem',1,'p_fsitem_defs','yacc.py',333), ('fsitem -> deletion','fsitem',1,'p_fsitem_deletion','yacc.py',338), ('deletion -> DELETE NAME SEMICOLON','deletion',3,'p_deletion','yacc.py',343), ('indexdef -> INDEX NAME LBRACE idxitems RBRACE','indexdef',5,'p_indexdef','yacc.py',350), ('idxitems -> idxitem idxitems','idxitems',2,'p_idxitems_many','yacc.py',358), ('idxitems -> idxitem','idxitems',1,'p_idxitems_one','yacc.py',363), ('idxitem -> simpleprop','idxitem',1,'p_idxitem_simpleprop','yacc.py',368), ('indexdef -> CONSTRAINT NAME LBRACE constraintitems RBRACE','indexdef',5,'p_constraintdef','yacc.py',373), ('constraintitems -> constraintitem constraintitems','constraintitems',2,'p_constraintitems_many','yacc.py',381), ('constraintitems -> constraintitem','constraintitems',1,'p_constraintitems_one','yacc.py',386), ('constraintitem -> simpleprop','constraintitem',1,'p_constraintitem_simpleprop','yacc.py',396), ('typedef -> COLON typedef_items','typedef',2,'p_typedef','yacc.py',400), ('typedef -> <empty>','typedef',0,'p_typedef_empty','yacc.py',405), ('typedef_items -> imp_name typedef_items','typedef_items',2,'p_typedef_items_many','yacc.py',410), ('typedef_items -> imp_name','typedef_items',1,'p_typedef_items_one','yacc.py',415), ('indexdef -> INDEX NAME indexprops','indexdef',3,'p_indexdef_simple','yacc.py',420), ('indexprops -> LBRACE simpleprops RBRACE','indexprops',3,'p_indexprops','yacc.py',434), ('simpleprops -> simpleprop simpleprops','simpleprops',2,'p_simpleprops_many','yacc.py',439), ('simpleprops -> simpleprop','simpleprops',1,'p_simpleprops_one','yacc.py',444), ('simpleprops -> <empty>','simpleprops',0,'p_simpleprops_empty','yacc.py',449), ('simpleprop -> NAME propvalues SEMICOLON','simpleprop',3,'p_simpleprop_one','yacc.py',454), ('simpleprop -> FIELDS idxfields SEMICOLON','simpleprop',3,'p_simpleprop_fields','yacc.py',461), ('idxfields -> idxfield idxfields','idxfields',2,'p_idxfields_many','yacc.py',468), ('idxfields -> idxfield','idxfields',1,'p_idxfields_one','yacc.py',473), ('idxfield -> PLUS dotted_name','idxfield',2,'p_idxfield_asc','yacc.py',478), ('idxfield -> MINUS dotted_name','idxfield',2,'p_idxfield_desc','yacc.py',486), ('idxfield -> dotted_name','idxfield',1,'p_idxfield_simple','yacc.py',494), ('propvalues -> propvalue propvalues','propvalues',2,'p_propvalues_many','yacc.py',503), ('propvalues -> propvalue','propvalues',1,'p_propvalues_one','yacc.py',508), ('propvalues -> <empty>','propvalues',0,'p_propvalues_empty','yacc.py',513), ('propvalue -> FLOAT','propvalue',1,'p_propvalue_float','yacc.py',518), ('propvalue -> INT','propvalue',1,'p_propvalue_int','yacc.py',524), ('propvalue -> NONE','propvalue',1,'p_propvalue_none','yacc.py',530), ('propvalue -> ALL','propvalue',1,'p_propvalue_all','yacc.py',535), ('propvalue -> STRING','propvalue',1,'p_propvalue_string','yacc.py',540), ('propvalue -> TRUE','propvalue',1,'p_propvalue_true','yacc.py',546), ('propvalue -> FALSE','propvalue',1,'p_propvalue_false','yacc.py',552), ('propvalue -> imp_name','propvalue',1,'p_propvalue_imp_name','yacc.py',558), ]

151.94958

6,063

0.657283

3,298

18,082

3.502123

0.110673

0.045714

0.008831

0.011775

0.373939

0.301472

0.252641

0.21645

0.1929

0.181818

0

0.242993

0.06277

18,082

118

6,064

153.237288

0.438544

0.004646

0

0.018519

1

0.009259

0.472628

0.029901

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

5

6b31f8d6c81d7ba320ccc09e1b95b7bf9708c1b5

33

py

Python

aliyunpy/__init__.py

jokimina/aliyunpy

fbfda8a7dc7e89cc79621bee31622ea9547944fa

[ "MIT" ]

1

2019-07-26T01:31:26.000Z

aliyunpy/__init__.py

jokimina/aliyunpy

fbfda8a7dc7e89cc79621bee31622ea9547944fa

[ "MIT" ]

null

aliyunpy/__init__.py

jokimina/aliyunpy

fbfda8a7dc7e89cc79621bee31622ea9547944fa

[ "MIT" ]

null

from .client import AliyunClient

16.5

32

0.848485

4

33

7

1

0

0.121212

33

1

33

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

86254f0c4a68eed389c21d76b25fb376aab81584

167

py

Python

trails/feeds/__init__.py

gallypette/maltrail

1a863c287ce94ba128ef023bab0d5166fe8a4519

[ "MIT" ]

null

trails/feeds/__init__.py

gallypette/maltrail

1a863c287ce94ba128ef023bab0d5166fe8a4519

[ "MIT" ]

null

trails/feeds/__init__.py

gallypette/maltrail

1a863c287ce94ba128ef023bab0d5166fe8a4519

[ "MIT" ]

1

2019-12-06T08:37:05.000Z

18.555556

83

0.730539

23

167

5.304348

0.956522

0

0.054422

0.11976

167

8

84

20.875

0.77551

0.898204

0

1

0

true

1

0

1

0

null

0

1

0

1

0

null

0

1

0

5

8625ba37d730d87c21b01664ffadedecb50e229e

130

py

Python

seabridge_app/seabridge_app/doctype/company/company_dashboard.py

Sagarikanaik96/Test2

c778c3a33ad5c8836cf147c79ac5e6f694b73b29

[ "MIT" ]

null

seabridge_app/seabridge_app/doctype/company/company_dashboard.py

Sagarikanaik96/Test2

c778c3a33ad5c8836cf147c79ac5e6f694b73b29

[ "MIT" ]

null

seabridge_app/seabridge_app/doctype/company/company_dashboard.py

Sagarikanaik96/Test2

c778c3a33ad5c8836cf147c79ac5e6f694b73b29

[ "MIT" ]

null

from __future__ import unicode_literals from frappe import _ def get_dashboard_data(data): return { 'fieldname': 'company' }

16.25

39

0.769231

16

130

5.75

0.8125

0

0.153846

130

7

40

18.571429

0.836364

0

0.123077

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

864f2866d854157bc0ee3eb769d32da0d53adb00

160

py

Python

pymatgen/analysis/magnetism/__init__.py

frssp/pymatgen

bdd977f065b66191557c7398b31a1571bc541fdb

[ "MIT" ]

5

2019-04-11T20:57:38.000Z

2021-12-01T05:00:42.000Z

pymatgen/analysis/magnetism/__init__.py

darnoceloc/pymatgen

5cc42912a12a265a603df7e34c856561f76edc1f

[ "MIT" ]

3

2017-07-18T01:13:41.000Z

2019-04-29T18:17:30.000Z

pymatgen/analysis/magnetism/__init__.py

darnoceloc/pymatgen

5cc42912a12a265a603df7e34c856561f76edc1f

[ "MIT" ]

3

2019-10-14T19:47:34.000Z

2020-07-02T08:10:45.000Z

# coding: utf-8 # Copyright (c) Pymatgen Development Team. # Distributed under the terms of the MIT License. from pymatgen.analysis.magnetism.analyzer import *

32

50

0.78125

22

160

5.681818

0.909091

0

0.007246

0.1375

160

5

50

32

0.898551

0.6375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8670dd8f9dfb23cf52c98787279cdbe1985464a1

113

py

Python

test/unit/__init__.py

uk-gov-mirror/hmrc.service-manager

6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234

[ "Apache-2.0" ]

52

2015-02-04T21:09:11.000Z

2022-02-23T15:48:06.000Z

test/unit/__init__.py

uk-gov-mirror/hmrc.service-manager

6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234

[ "Apache-2.0" ]

57

2015-01-08T10:17:16.000Z

2021-11-18T14:56:51.000Z

test/unit/__init__.py

uk-gov-mirror/hmrc.service-manager

6d6fcc4a1d25d094e7d0c798fc4219cf20a6f234

[ "Apache-2.0" ]

50

2015-02-02T16:12:13.000Z

2021-11-13T09:19:32.000Z

import os import sys sys.path.append(os.path.abspath(os.path.dirname(__file__) + "/" + "../../servicemanager"))

22.6

90

0.690265

15

113

4.933333

0.6

0.162162

0

0.088496

113

4

91

28.25

0.718447

0

0.185841

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

8685181a6060d0d5c48770bec594bfe42ad1d5cf

649

py

Python

data/contacts.py

valeriia-karpenko/python_training

5b621a4c14f57a57695932cf8b2d6741fd452edb

[ "Apache-2.0" ]

null

data/contacts.py

valeriia-karpenko/python_training

5b621a4c14f57a57695932cf8b2d6741fd452edb

[ "Apache-2.0" ]

null

data/contacts.py

valeriia-karpenko/python_training

5b621a4c14f57a57695932cf8b2d6741fd452edb

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from model.contact import Contact testdata = [ Contact(firstname="Ivan", lastname="Ivanov", homephone="781236223", email="ivanov@gmail.com", mobilephone="+79119685588", workphone="88124568995", secondaryphone="88124568988", address="Spb Nevskiy 36-89", email2="ivanov@mail.ru", email3="ivanov@ya.ru"), Contact(firstname="firstname1", lastname="lastname1", homephone="781236223", email="ivanov@gmail.com", mobilephone="+79119685588", workphone="88124568995", secondaryphone="88124568988", address="Spb Nevskiy 36-89", email2="ivanov@mail.ru", email3="ivanov@ya.ru") ]

49.923077

106

0.681048

69

649

6.405797

0.507246

0.072398

0.104072

0.131222

0.719457

0

0.1787

0.146379

649

12

107

54.083333

0.619134

0.032357

0

0.222222

0

0.372204

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

null

0

5

86a41988f370926b360e4d584350982dd63bcc69

75

py

Python

snorkel/contrib/snark/models/__init__.py

Conengmo/snorkel

36868e8a84de19b94e1c4b8eceaa64969a61a46b

[ "Apache-2.0" ]

30

2019-08-22T19:27:59.000Z

2022-03-13T22:03:15.000Z

snorkel/contrib/snark/models/__init__.py

Conengmo/snorkel

36868e8a84de19b94e1c4b8eceaa64969a61a46b

[ "Apache-2.0" ]

2

2019-08-22T16:51:58.000Z

2022-03-21T02:59:18.000Z

snorkel/contrib/snark/models/__init__.py

Conengmo/snorkel

36868e8a84de19b94e1c4b8eceaa64969a61a46b

[ "Apache-2.0" ]

31

2019-08-22T19:28:08.000Z

2022-03-23T12:50:49.000Z

from __future__ import absolute_import class SparkModel(object): pass

15

38

0.8

9

75

6.111111

0.888889

0

0.16

75

4

39

18.75

0.873016

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

86cc580f74ee716c02a78cf25a560759a0c7441d

124

py

Python

SphinxBot/__init__.py

corentinalcoy/sphinx-bot

29424f627508f4099f706493f0d00020304bf243

[ "MIT" ]

null

SphinxBot/__init__.py

corentinalcoy/sphinx-bot

29424f627508f4099f706493f0d00020304bf243

[ "MIT" ]

6

2021-03-19T03:35:31.000Z

2022-02-10T08:52:55.000Z

SphinxBot/__init__.py

corentinalcoy/sphinx-bot

29424f627508f4099f706493f0d00020304bf243

[ "MIT" ]

1

2019-11-28T18:12:19.000Z

from __future__ import unicode_literals, absolute_import from .celery import app as celery_app __all__ = ('celery_app', )

20.666667

56

0.798387

17

124

5.117647

0.588235

0.206897

0

0.137097

124

5

57

24.8

0.813084

0

0.080645

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

86dfb5cfb67cb51a9f729ee596c0586a6d18fc88

44

py

Python

repeating_timer/__init__.py

TheQuinbox/repeating_timer

1456f2804d08eed3f8374c90876f6a817a006ff2

[ "MIT" ]

null

repeating_timer/__init__.py

TheQuinbox/repeating_timer

1456f2804d08eed3f8374c90876f6a817a006ff2

[ "MIT" ]

null

repeating_timer/__init__.py

TheQuinbox/repeating_timer

1456f2804d08eed3f8374c90876f6a817a006ff2

[ "MIT" ]

null

from .repeating_timer import RepeatingTimer

22

43

0.886364

5

44

7.6

1

0

0.090909

44

1

44

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

81278324ede676334f161ff7b5846555036b2c51

246

py

Python

server/problem_sets/static/data/sqlite/sqlite_serializable.py

iiridescent/problem-sets

e906fe7509cd158ecdb5920853636339d4d531c3

[ "MIT" ]

null

server/problem_sets/static/data/sqlite/sqlite_serializable.py

iiridescent/problem-sets

e906fe7509cd158ecdb5920853636339d4d531c3

[ "MIT" ]

5

2021-03-09T10:36:59.000Z

2022-02-26T14:36:08.000Z

server/problem_sets/static/data/sqlite/sqlite_serializable.py

vinhowe/problem-sets

e906fe7509cd158ecdb5920853636339d4d531c3

[ "MIT" ]

null

# Copyright (c) 2019 Thomas Howe from abc import ABC, abstractmethod class SQLiteSerializable(ABC): @abstractmethod def to_sqlite_row(cls): pass @classmethod @abstractmethod def from_sqlite_row(cls): pass

16.4

35

0.678862

28

246

5.821429

0.642857

0.208589

0.147239

0.196319

0

0.021858

0.256098

246

14

36

17.571429

0.868852

0.121951

0

0.444444

0

1

0.222222

false

0.222222

0.111111

0

0.444444

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

812c71f91ce2d6c88bbd1ff41cc5aa4e032db75b

283

py

Python

UNetGAN/unetgan/data.py

gcinbis/deep-generative-models-spring20

d377bd63d5e79539477cca47c71462e5cc12adfa

[ "MIT" ]

18

2020-07-06T10:47:26.000Z

2021-05-30T11:43:17.000Z

UNetGAN/unetgan/data.py

gcinbis/deep-generative-models-course-projects

d377bd63d5e79539477cca47c71462e5cc12adfa

[ "MIT" ]

1

2022-03-12T00:39:12.000Z

UNetGAN/unetgan/data.py

gcinbis/deep-generative-models-spring20

d377bd63d5e79539477cca47c71462e5cc12adfa

[ "MIT" ]

2

2020-07-13T20:46:44.000Z

2020-10-01T13:15:25.000Z

import torchvision.datasets.celeba as celeba class CelebA(celeba.CelebA): """ A simple wrapper around torch.datasets.celebA. We shouldn't need to do anything about the data, but it may be useful to store data-dependent things here in the future. """ pass

28.3

76

0.706714

42

283

4.761905

0.785714

0.14

0

0.226148

283

9

77

31.444444

0.913242

0.590106

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

d4f8416bc6b4fc79c6db21b077f6da5238ce5227

165,254

py

Python

sanic_openapi3e/oas_types.py

endafarrell/openapi-sanic3e

cfb4bcb7e983693e5abb781c23dba3931a1caadd

[ "MIT" ]

7

2021-01-14T19:28:48.000Z

2021-09-19T07:39:02.000Z

sanic_openapi3e/oas_types.py

endafarrell/sanic-openapi3e

cfb4bcb7e983693e5abb781c23dba3931a1caadd

[ "MIT" ]

24

2019-03-04T09:18:27.000Z

2021-01-20T10:17:04.000Z

sanic_openapi3e/oas_types.py

endafarrell/sanic-openapi3e

cfb4bcb7e983693e5abb781c23dba3931a1caadd

[ "MIT" ]

null

# pylint: disable=too-many-lines """ OpenAPI Spec 3.0.2 types, though without any `Specification Extensions <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#specificationExtensions>`_ Some terms in the spec are unsuitable for python, they have been changed in the code: * `in` -> `_in` * `type` -> `_type` * `format` -> `_format` * `$ref` -> `_ref` * `license` -> `_license` Given that these changes were already needed, some others were also added to keep with PEP8 naming conventions in this code: * `operationId` -> `operation_id` * In (many) other examples, terms using camelCase were changed to use underscores. Eg `readOnly` -> `read_only`. Limitations ----------- This implementation has some known limitations: * Phrases in the spec like "MUST be in the format of a URL.", or "MUST be in the format of an email address." are noted, in the docs, but not checked. * There is no accommodation for Specification Extensions. * Schema.items is not well understood, your mileage may vary. * SecurityScheme (specifically the REQUIREDs) are not well understood, and so no validation checks on REQUIRED fields are done. """ # pylint: disable=too-few-public-methods import copy import functools import json import re import traceback import warnings from collections import OrderedDict from typing import Any, Dict, List, Mapping, Optional, Sequence, Tuple, Type, Union import sanic.router def _assert_type(element: Any, types: Sequence[Any], name: str, clazz: Type[Any]) -> None: """ Utility to help assert types are only as expected. :param element: The element being checked :param types: The allowed types :param name: The name of the element :param clazz: The class containing the element """ assert isinstance(types, tuple) assert isinstance(name, str) if element is not None and not isinstance(element, types): raise TypeError("Incorrect type ({}) for {}.{}, [{}]".format(type(element), clazz.__qualname__, name, types)) def _assert_required(element, name, clazz, why=""): assert isinstance(name, str) if not element: raise AssertionError("For `{}`, the field `{}` is required{}.".format(clazz.__qualname__, name, why)) def _assert_strictly_greater_than_zero(element, name, clazz): assert isinstance(name, str) if element is not None: assert isinstance(element, int), "For `{}`, the field `{}` must be an int if supplied.".format( clazz.__qualname__, name ) assert element > 0, "For `{}`, the field `{}` must be strictly greater than 0: {} is not".format( clazz.__qualname__, name, element ) @functools.lru_cache(maxsize=64) def simple_snake2camel(string: str) -> str: if "_" not in string: return string.strip() first, *rest = string.strip().lower().split("_") return first + "".join(ele.capitalize() for ele in rest) @functools.lru_cache(maxsize=64) def openapi_keyname(key: str) -> str: """ Returns the OpenAPI name for keys. """ return { "_format": "format", "_in": "in", "_license": "license", "_not": "not", "_ref": "$ref", "_type": "type", "additional_properties": "additionalProperties", "all_of": "allOf", "any_of": "anyOf", "bearer_format": "bearerFormat", "dollar_ref": "$ref", "exclusive_maximum": "exclusiveMaximum", "exclusive_minimum": "exclusiveMinimum", "external_docs": "externalDocs", "max_items": "maxItems", "max_length": "maxLength", "max_properties": "maxProperties", "min_items": "minItems", "min_length": "minLength", "min_properties": "minProperties", "multiple_of": "multipleOf", "one_of": "oneOf", "operation_id": "operationId", "property_name": "propertyName", "read_only": "readOnly", "request_body": "requestBody", "security_schemes": "securitySchemes", "terms_of_service": "termsOfService", "unique_items": "uniqueItems", "write_only": "writeOnly", }.get(key, simple_snake2camel(key)) def default_operation_id_fn(method: str, uri: str, route: sanic.router.Route) -> str: uri_for_operation_id: str = uri for parameter in route.parameters: uri_for_operation_id = re.sub("<" + parameter.name + ".*?>", parameter.name, uri_for_operation_id) return "{}~~{}".format(method.upper(), uri_for_operation_id).replace("/", "~") def camel_case_operation_id_fn(method: str, uri: str, route: sanic.router.Route) -> str: if hasattr(route.handler, "__class__") and hasattr(route.handler, "handlers"): # These are `sanic.view.CompositeView`s and while seen in the wild, getting a test case for this is # surprisingly difficult _method_handler = route.handler.handlers.get(method.upper()) if _method_handler: handler_name = method + "_" + _method_handler.__name__ else: raise ValueError(f"No {method.upper()} handler found for {uri} handlers: {route.handler.handlers}") elif hasattr(route.handler, "__name__"): if len(route.methods) > 1: # This fn will be called many times, once per method, but we should prefix the handler_name with this # prefix to make the operationIds globally unique. If the route is only used by one method, use that # handler's name. handler_name = method + "_" + route.handler.__name__ else: handler_name = route.handler.__name__ else: raise NotImplementedError() return simple_snake2camel(handler_name) NoneType = type(None) class OObject: """A base object for sanic_openapi3e. Internal.""" @staticmethod def _as_yamlable_object( value: Any, sort=False, opt_key: Optional[str] = None ) -> Union[Dict, str, bytes, int, float, List, NoneType]: if isinstance(value, OObject): return value.as_yamlable_object(sort=sort, opt_key=opt_key) if isinstance(value, (str, bytes, int, float, type(None))): return value if isinstance(value, list): if sort: value = sorted(value) return [OObject._as_yamlable_object(v, sort=sort, opt_key=opt_key) for v in value] if isinstance(value, (dict, OrderedDict)): items = list(value.items()) if sort: items = sorted(items) return { key2: OObject._as_yamlable_object(value2, sort=sort, opt_key=f"{opt_key}.{key2}") for key2, value2 in items } raise TypeError(f"{type(value)}, value={value} opt_key={opt_key}") def as_yamlable_object( # pylint: disable=too-many-branches self, sort=False, opt_key: Optional[str] = None ) -> Dict: _repr = {} if not hasattr(self, "__dict__"): raise TypeError(str(opt_key) + " " + self.__class__.__qualname__ + " " + repr(self)) for key, value in self.__dict__.items(): key2 = openapi_keyname(key) # Schema classes have many keys with bool where their default is false. Don't send them out. if self.__class__.__qualname__ == "Schema" and value is False: if key2 in { "nullable", "readOnly", "writeOnly", " deprecated", "exclusiveMaximum", "exclusiveMinimum", "uniqueItems", }: continue # Allow False bools, but not other falsy values - UNLESS: # 1: self is a SecurityRequirement # 2: self is an Operation and key is security # as an empty list has special meaning for these. if (value is not False) and (not value): if value == [] and self.__class__.__qualname__ == "SecurityRequirement": pass elif value == [] and key == "security" and self.__class__.__qualname__ == "Operation": pass else: continue if key.startswith("x_"): continue if key == "deprecated" and value is False: # By default, items in specs are `deprecated: false` - these are not desirable in the specs continue value2: Union[Dict, List, str, bytes, int, float, bool, NoneType] if value is False or value is True: value2 = value ############################################################################################################ # List of yamlable objects for element in value elif key2 == "parameters" and self.__class__ in (PathItem, Operation): value2 = [OObject.as_yamlable_object(e, sort=sort, opt_key=f"{opt_key}.{key2}") for e in value] ############################################################################################################ # dicts of yamlable objects for items() value elif key2 == "responses" and self.__class__ == Components: value2 = { key3: value3.as_yamlable_object(opt_key=f"{opt_key}.{key2}") for key3, value3 in value.items() } elif key2 == "examples": value2 = { key3: OObject._as_yamlable_object(value3, opt_key=f"{opt_key}.{key2}") for key3, value3 in value.items() } ############################################################################################################ # paths are a special case elif key2 == "paths": value2 = { uri: OObject.as_yamlable_object(path_item, opt_key=f"{opt_key}.{uri}") for uri, path_item in value._paths # pylint: disable=protected-access } ############################################################################################################ # sort the schemas elif key2 == "schemas": # Everyone wants sorted schema entries! Note that as `dict`s, they require OObject._as_yamlable_object value2 = OObject._as_yamlable_object(value, sort=True, opt_key=f"{opt_key}.{key2}") ############################################################################################################ # default - for known OObjects elif isinstance(value, OObject) and hasattr(value, "__dict__"): value2 = OObject.as_yamlable_object(value, sort=sort, opt_key=f"{opt_key}.{key}") else: # Note how this uses the OObject._as_yamlable_object value2 = OObject._as_yamlable_object(value, opt_key=f"{opt_key}.{key2}") _repr[key2] = value2 if sort: # Note: py36 does not have any (eternally dependable) ordering for dicts, but py37+ # remembers insert-order. return {key: value for key, value in sorted(_repr.items())} # pylint: disable=unnecessary-comprehension return _repr def __repr__(self): return "{}({})".format( self.__class__.__qualname__, json.dumps(self.as_yamlable_object(sort=True), sort_keys=True), ) # --------------------------------------------------------------- # # Primitive data types # --------------------------------------------------------------- # class OType(OObject): """A sanic_openapi3e class to hold OpenAPI types. Internal.""" name: str = "otype" formats: List[str] = [] # --------------------------------------------------------------- # # Info Object # --------------------------------------------------------------- # class Contact(OObject): """Contact information for the exposed API.""" def __init__( self, name: Optional[str] = None, url: Optional[str] = None, email: Optional[str] = None, ): """ Contact information for the exposed API. :param name: The identifying name of the contact person/organization. :param url: The URL pointing to the contact information. MUST be in the format of a URL. :param email: The email address of the contact person/organization. MUST be in the format of an email address. """ _assert_type(name, (str,), "name", self.__class__) _assert_type(url, (str,), "url", self.__class__) _assert_type(email, (str,), "email", self.__class__) self.name = name """The identifying name of the contact person/organization.""" self.url = url """The URL pointing to the contact information. MUST be in the format of a URL.""" self.email = email """The email address of the contact person/organization. MUST be in the format of an email address.""" class License(OObject): """License information for the exposed API.""" def __init__(self, name: str, url: Optional[str] = None): """ License information for the exposed API. :param name: REQUIRED. The license name used for the API. :param url: A URL to the license used for the API. MUST be in the format of a URL. """ _assert_type(name, (str,), "name", self.__class__) _assert_type(url, (str,), "url", self.__class__) _assert_required(name, "name", self.__class__) self.name = name """REQUIRED. The license name used for the API.""" self.url = url """A URL to the license used for the API. MUST be in the format of a URL.""" class Info(OObject): """ The object provides metadata about the API. The metadata MAY be used by the clients if needed, and MAY be presented in editing or documentation generation tools for convenience. """ def __init__( # pylint: disable=too-many-arguments self, title: str, version: str, description: Optional[str] = None, terms_of_service: Optional[str] = None, contact: Optional[Contact] = None, _license: Optional[License] = None, ): """ The object provides metadata about the API. The metadata MAY be used by the clients if needed, and MAY be presented in editing or documentation generation tools for convenience. :param title: REQUIRED. The title of the application. :param description: A short description of the application. CommonMark syntax MAY be used for rich text representation. :param terms_of_service: A URL to the Terms of Service for the API. MUST be in the format of a URL. :param contact: The contact information for the exposed API. :param _license: The license information for the exposed API. :param version: REQUIRED. The version of the OpenAPI document (which is distinct from the OpenAPI Specification version or the API implementation version). """ _assert_type(title, (str,), "title", self.__class__) _assert_type(description, (str,), "description", self.__class__) _assert_type(terms_of_service, (str,), "terms_of_service", self.__class__) _assert_type(contact, (Contact,), "contact", self.__class__) _assert_type(_license, (License,), "_license", self.__class__) _assert_type(version, (str,), "version", self.__class__) _assert_required(title, "title", self.__class__) _assert_required(version, "version", self.__class__) self.title = title """REQUIRED. The title of the application.""" self.version = version """ REQUIRED. The version of the OpenAPI document (which is distinct from the OpenAPI Specification version or the API implementation version). """ self.description = description """A short description of the application. CommonMark syntax MAY be used for rich text representation.""" self.terms_of_service = terms_of_service """A URL to the Terms of Service for the API. MUST be in the format of a URL.""" self.contact = contact """The contact information for the exposed API.""" self.license = _license """The license information for the exposed API.""" # --------------------------------------------------------------- # # Server Object. Since v3 # --------------------------------------------------------------- # class ServerVariable(OObject): """An object representing a Server Variable for server URL template substitution.""" def __init__(self, default: str, enum: List[str] = None, description: Optional[str] = None): """ An object representing a Server Variable for server URL template substitution. :param enum: :param default: REQUIRED. The default value to use for substitution, which SHALL be sent if an alternate value is not supplied. Note this behavior is different than the Schema Object's treatment of default values, because in those cases parameter values are optional. :param description: An optional description for the server variable. CommonMark syntax MAY be used for rich text representation. """ _assert_type(enum, (list,), "enum", self.__class__) _assert_type(default, (str,), "default", self.__class__) _assert_type(description, (str,), "description", self.__class__) _assert_required(default, "default", self.__class__) if enum: # All strings if {type(e) for e in enum} != {type("str")}: raise AssertionError("For `{}`, all enum values must be str.".format(self.__class__.__qualname__)) # All unique if len(set(enum)) != len(enum): raise AssertionError("For `{}`, all enum values must be unique.".format(self.__class__.__qualname__)) self.enum = enum """An enumeration of string values to be used if the substitution options are from a limited set.""" self.default = default """ REQUIRED. The default value to use for substitution, which SHALL be sent if an alternate value is not supplied. Note this behavior is different than the Schema Object's treatment of default values, because in those cases parameter values are optional. """ self.description = description """ An optional description for the server variable. CommonMark syntax MAY be used for rich text representation. """ class Server(OObject): """An object representing a Server.""" def __init__( self, url: str, description: Optional[str] = None, variables: Optional[Dict[str, ServerVariable]] = None, ): """ An object representing a Server. :param url: REQUIRED. A URL to the target host. This URL supports Server Variables and MAY be relative, to indicate that the host location is relative to the location where the OpenAPI document is being served. Variable substitutions will be made when a variable is named in ``{brackets}``. :param description: An optional string describing the host designated by the URL. CommonMark syntax MAY be used for rich text representation. :param variables: A map between a variable name and its value. The value is used for substitution in the server's URL template. """ _assert_type(url, (str,), "url", self.__class__) _assert_type(description, (str,), "description", self.__class__) _assert_type(variables, (str,), "variables", self.__class__) _assert_required(url, "url", self.__class__) self.url = url """ REQUIRED. A URL to the target host. This URL supports Server Variables and MAY be relative, to indicate that the host location is relative to the location where the OpenAPI document is being served. Variable substitutions will be made when a variable is named in {brackets}.""" self.description = description """ An optional string describing the host designated by the URL. CommonMark syntax MAY be used for rich text representation. """ self.variables = variables """ A map between a variable name and its value. The value is used for substitution in the server's URL template. """ # --------------------------------------------------------------- # # Components Object. Since v3 # --------------------------------------------------------------- # class Reference(OObject): """ A simple object to allow referencing other components in the specification, internally and externally. The Reference Object is defined by JSON Reference and follows the same structure, behavior and rules. For this specification, reference resolution is accomplished as defined by the JSON Reference specification and not by the JSON Schema specification. """ def __init__(self, _ref: str): """ A simple object to allow referencing other components in the specification, internally and externally. The Reference Object is defined by JSON Reference and follows the same structure, behavior and rules. For this specification, reference resolution is accomplished as defined by the JSON Reference specification and not by the JSON Schema specification. :param _ref: REQUIRED. The reference string. """ _assert_type(_ref, (str,), "_ref ($ref)", self.__class__) _assert_required(_ref, "_ref ($ref)", self.__class__) self.dollar_ref = _ref """REQUIRED. The reference string.""" class Discriminator(OObject): """ When request bodies or response payloads may be one of a number of different schemas, a discriminator object can be used to aid in serialization, deserialization, and validation. The discriminator is a specific object in a schema which is used to inform the consumer of the specification of an alternative schema based on the value associated with it. When using the discriminator, inline schemas will not be considered. Note: in sanic_openapi3e, this object is not well tested. """ def __init__(self, property_name: str, mapping: Optional[Dict[str, str]] = None): """ When request bodies or response payloads may be one of a number of different schemas, a discriminator object can be used to aid in serialization, deserialization, and validation. The discriminator is a specific object in a schema which is used to inform the consumer of the specification of an alternative schema based on the value associated with it. When using the discriminator, inline schemas will not be considered. :param property_name: REQUIRED. The name of the property in the payload that will hold the discriminator value. :param mapping: An object to hold mappings between payload values and schema names or references. """ _assert_type(property_name, (str,), "property_name", self.__class__) _assert_type(mapping, (dict,), "mapping", self.__class__) _assert_required(property_name, "property_name", self.__class__) if mapping: for m_name, m_value in mapping.items(): if not isinstance(m_value, str): raise AssertionError( "For `{}.mapping[{}]` the value must be a str.".format(self.__class__.__qualname__, m_name) ) self.property_name = property_name """REQUIRED. The name of the property in the payload that will hold the discriminator value.""" self.mapping = mapping """An object to hold mappings between payload values and schema names or references.""" class XML(OObject): """ A metadata object that allows for more fine-tuned XML model definitions. When using arrays, XML element names are not inferred (for singular/plural forms) and the name property SHOULD be used to add that information. See examples for expected behavior. """ def __init__( # pylint: disable=too-many-arguments self, name: Optional[str] = None, namespace: Optional[str] = None, prefix: Optional[str] = None, attribute: bool = False, wrapped: bool = False, ): """ A metadata object that allows for more fine-tuned XML model definitions. When using arrays, XML element names are not inferred (for singular/plural forms) and the name property SHOULD be used to add that information. See examples for expected behavior. :param name: Replaces the name of the element/attribute used for the described schema property. When defined within items, it will affect the name of the individual XML elements within the list. When defined alongside type being array (outside the items), it will affect the wrapping element and only if wrapped is true. If wrapped is false, it will be ignored. :param namespace: The URI of the namespace definition. Value MUST be in the form of an absolute URI. :param prefix: The prefix to be used for the name. :param attribute: Declares whether the property definition translates to an attribute instead of an element. Default value is false. :param wrapped: MAY be used only for an array definition. Signifies whether the array is wrapped (for example, <books><book/><book/></books>) or unwrapped (<book/><book/>). Default value is false. The definition takes effect only when defined alongside type being array (outside the items). """ _assert_type(name, (str,), "name", self.__class__) _assert_type(namespace, (str,), "namespace", self.__class__) _assert_type(prefix, (str,), "prefix", self.__class__) _assert_type(attribute, (bool,), "attribute", self.__class__) _assert_type(wrapped, (bool,), "wrapped", self.__class__) self.name = name """ Replaces the name of the element/attribute used for the described schema property. When defined within items, it will affect the name of the individual XML elements within the list. When defined alongside type being array (outside the items), it will affect the wrapping element and only if wrapped is true. If wrapped is false, it will be ignored. """ self.namespace = namespace """The URI of the namespace definition. Value MUST be in the form of an absolute URI.""" self.prefix = prefix """The prefix to be used for the name.""" self.attribute = attribute """ Declares whether the property definition translates to an attribute instead of an element. Default value is false. """ self.wrapped = wrapped """ MAY be used only for an array definition. Signifies whether the array is wrapped (for example, ``(<books><book/><book/></books>``) or unwrapped (``<book/><book/>``). Default value is false. The definition takes effect only when defined alongside type being array (outside the items). """ class ExternalDocumentation(OObject): """Allows referencing an external resource for extended documentation.""" def __init__(self, url: str, description: Optional[str] = None): """ Allows referencing an external resource for extended documentation. :param url: REQUIRED. The URL for the target documentation. Value MUST be in the format of a URL. :param description: A short description of the target documentation. CommonMark syntax MAY be used for rich text representation. """ _assert_type(description, (str,), "name", self.__class__) _assert_type(url, (str,), "url", self.__class__) _assert_required(url, "url", self.__class__) self.description = description """ A short description of the target documentation. CommonMark syntax MAY be used for rich text representation. """ self.url = url """REQUIRED. The URL for the target documentation. Value MUST be in the format of a URL.""" class Example(OObject): """ In the `spec <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#example-object>`_ there is no top-line description, but there is supplemental doc. In all cases, the example value is expected to be compatible with the type schema of its associated value. Tooling implementations MAY choose to validate compatibility automatically, and reject the example value(s) if incompatible. """ def __init__( self, summary: Optional[str] = None, description: Optional[str] = None, value: Optional[Any] = None, external_value: Optional[str] = None, ): """ In the `spec <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#example-object>`_ there is no top-line description, but there is supplemental doc. In all cases, the example value is expected to be compatible with the type schema of its associated value. Tooling implementations MAY choose to validate compatibility automatically, and reject the example value(s) if incompatible. :param summary: Short description for the example. :param description: Long description for the example. CommonMark syntax MAY be used for rich text representation. :param value: Embedded literal example. The value field and externalValue field are mutually exclusive. To represent examples of media types that cannot naturally represented in JSON or YAML, use a string value to contain the example, escaping where necessary. :param external_value: A URL that points to the literal example. This provides the capability to reference examples that cannot easily be included in JSON or YAML documents. The value field and externalValue field are mutually exclusive. """ _assert_type(summary, (str,), "summary", self.__class__) _assert_type(description, (str,), "description", self.__class__) # Note: value can be Any _assert_type(external_value, (str,), "external_value", self.__class__) assert not (value and external_value) # Assignment and docs self.summary = summary """Short description for the example.""" self.description = description """Long description for the example. CommonMark syntax MAY be used for rich text representation.""" self.value = value """ Embedded literal example. The value field and externalValue field are mutually exclusive. To represent examples of media types that cannot naturally represented in JSON or YAML, use a string value to contain the example, escaping where necessary. """ self.external_value = external_value """ A URL that points to the literal example. This provides the capability to reference examples that cannot easily be included in JSON or YAML documents. The value field and externalValue field are mutually exclusive. """ class Header(OObject): # pylint: disable=too-many-instance-attributes """ The Header Object follows the structure of the Parameter Object with the following changes: - name MUST NOT be specified, it is given in the corresponding headers map. - o-in (`in`) MUST NOT be specified, it is implicitly in header. - All traits that are affected by the location MUST be applicable to a location of header (for example, style). """ def __init__( # pylint: disable=too-many-arguments, too-many-locals self, description: Optional[str] = None, required: bool = False, deprecated: bool = False, allow_empty_value: bool = False, style: Optional[str] = None, explode: bool = False, allow_reserved: bool = False, schema: Optional[Union["Schema", Reference]] = None, example: Optional[Any] = None, examples: Optional[Dict[str, Union[Example, Reference]]] = None, content: Optional[Dict[str, "MediaType"]] = None, ): """ The Header Object follows the structure of the Parameter Object with the following changes: - name MUST NOT be specified, it is given in the corresponding headers map. - o-in (`in`) MUST NOT be specified, it is implicitly in header. - All traits that are affected by the location MUST be applicable to a location of header (for example, style). :param description: A brief description of the parameter. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. :param required: Determines whether this parameter is mandatory. If the parameter ``_in`` is "path", this property is REQUIRED and its value MUST be true. Otherwise, the property MAY be included and its default value is false. Note that this is not checked by sanic-openapi3e. :param deprecated: Specifies that a parameter is deprecated and SHOULD be transitioned out of usage. :param allow_empty_value: Sets the ability to pass empty-valued parameters. This is valid only for query parameters and allows sending a parameter with an empty value. Default value is false. If style is used, and if behavior is n/a (cannot be serialized), the value of allowEmptyValue SHALL be ignored. :param style: Describes how the parameter value will be serialized depending on the type of the parameter value. Default values (based on value of in): for query - form; for path - simple; for header - simple; for cookie - form. :param explode: When this is true, parameter values of type array or object generate separate parameters for each value of the array or key-value pair of the map. For other types of parameters this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. :param allow_reserved: Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. This property only applies to parameters with an `_in` value of query. The default value is false. :param schema: The schema defining the type used for the parameter. :param example: Example of the media type. The example SHOULD match the specified schema and encoding properties if present. The example object is mutually exclusive of the examples object. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. To represent examples of media types that cannot naturally be represented in JSON or YAML, a string value can contain the example with escaping where necessary. :param examples: Examples of the media type. Each example SHOULD contain a value in the correct format as specified in the parameter encoding. The examples object is mutually exclusive of the example object. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. :param content: A map containing the representations for the parameter. The key is the media type and the value describes it. The map MUST only contain one entry. """ _assert_type(description, (str,), "description", self.__class__) _assert_type(required, (bool,), "required", self.__class__) _assert_type(deprecated, (bool,), "deprecated", self.__class__) _assert_type(allow_empty_value, (bool,), "allow_empty_value", self.__class__) _assert_type(style, (str,), "style", self.__class__) _assert_type(explode, (bool,), "explode", self.__class__) _assert_type(allow_reserved, (bool,), "allow_reserved", self.__class__) _assert_type(schema, (Schema, Reference), "schema", self.__class__) # Note: examples is specified to be "Any" _assert_type(examples, (dict,), "examples", self.__class__) _assert_type(content, (dict,), "content", self.__class__) # Validations. assert not (example and examples) if examples: for ex_name, ex in examples.items(): if not isinstance(ex, (Example, Reference)): raise AssertionError( "For `{}.examples`, values must be an `Example` or a `Reference`. For {} it is a {}".format( self.__class__.__qualname__, ex_name, type(ex) ) ) if content: if len(list(content.values())) != 1: raise AssertionError("For `{}.content` MUST only contain one entry".format(self.__class__.__qualname__)) for c_name, media_type in content.items(): if not isinstance(media_type, MediaType): raise TypeError( "For `{}.content`, values must be a `MediaType`. For {} it is a {}".format( self.__class__.__qualname__, c_name, type(media_type) ) ) # Assignments and docs self.description = description """ A brief description of the parameter. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. """ self.required = required """ Determines whether this parameter is mandatory. If the parameter location is "path", this property is REQUIRED and its value MUST be true. Otherwise, the property MAY be included and its default value is false. """ self.deprecated = deprecated """Specifies that a parameter is deprecated and SHOULD be transitioned out of usage.""" self.allow_empty_value = allow_empty_value """ Sets the ability to pass empty-valued parameters. This is valid only for query parameters and allows sending a parameter with an empty value. Default value is false. If style is used, and if behavior is n/a (cannot be serialized), the value of allowEmptyValue SHALL be ignored. """ self.style = style """ Describes how the parameter value will be serialized depending on the type of the parameter value. Default values (based on value of in): for query - form; for path - simple; for header - simple; for cookie - form. """ self.explode = explode """ When this is true, parameter values of type array or object generate separate parameters for each value of the array or key-value pair of the map. For other types of parameters this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. """ self.allow_reserved = allow_reserved """ Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. This property only applies to parameters with an in value of query. The default value is false.""" self.schema = schema """The schema defining the type used for the parameter.""" self.example = example """ Example of the media type. The example SHOULD match the specified schema and encoding properties if present. The example object is mutually exclusive of the examples object. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. To represent examples of media types that cannot naturally be represented in JSON or YAML, a string value can contain the example with escaping where necessary. """ self.examples = examples """ Examples of the media type. Each example SHOULD contain a value in the correct format as specified in the parameter encoding. The examples object is mutually exclusive of the example object. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. """ self.content = content """ A map containing the representations for the parameter. The key is the media type and the value describes it. The map MUST only contain one entry. """ class Encoding(OObject): """A single encoding definition applied to a single schema property.""" def __init__( # pylint: disable=too-many-arguments self, content_type: Optional[str] = None, headers: Optional[Dict[str, Union[Header, Reference]]] = None, style: Optional[str] = None, explode: bool = False, allow_reserved=False, ): """ A single encoding definition applied to a single schema property. :param content_type: The Content-Type for encoding a specific property. Default value depends on the property type: * for string with format being binary – `application/octet-stream`; * for other primitive types – `text/plain`; * for object - `application/json`; * for array – the default is defined based on the inner type. The value can be a specific media type (e.g. `application/json`), a wildcard media type (e.g. `image/*`), or a comma-separated list of the two types. :param headers: A map allowing additional information to be provided as headers, for example `Content-Disposition`. `Content-Type` is described separately and SHALL be ignored in this section. This property SHALL be ignored if the request body media type is not a multipart. :param style: Describes how a specific property value will be serialized depending on its type. See Parameter Object for details on the style property. The behavior follows the same values as query parameters, including default values. This property SHALL be ignored if the request body media type is not `application/x-www-form-urlencoded`. :param explode: When this is true, property values of type array or object generate separate parameters for each value of the array, or key-value-pair of the map. For other types of properties this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. This property SHALL be ignored if the request body media type is not application/x-www-form-urlencoded. :param allow_reserved: Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. The default value is false. This property SHALL be ignored if the request body media type is not application/x-www-form-urlencoded. """ _assert_type(content_type, (str,), "content_type", self.__class__) _assert_type(headers, (dict,), "headers", self.__class__) _assert_type(style, (str,), "style", self.__class__) _assert_type(explode, (bool,), "explode", self.__class__) _assert_type(allow_reserved, (bool,), "allow_reserved", self.__class__) if headers: for _header_name, header_spec in headers.items(): assert isinstance(header_spec, (Header, Reference)) if style: assert style in ("matrix", "label", "form", "simple", "spaceDelimited", "pipeDelimited", "deepObject",) # TODO - add (where?) check that the style is suitable for this type+location. if explode is None: explode = bool(style == "form") _assert_type(explode, (bool,), "explode", self.__class__) _assert_type(allow_reserved, (bool,), "allow_reserved", self.__class__) # Assignment and docs self.content_type = content_type """ The Content-Type for encoding a specific property. Default value depends on the property type: * for `string` with `format` being `binary` – `application/octet-stream`; * for other primitive types – `text/plain`; * for object - `application/json`; * for array – the default is defined based on the inner type. The value can be a specific media type (e.g. `application/json`), a wildcard media type (e.g. `image/*`), or a comma-separated list of the two types. """ self.headers = headers """ A map allowing additional information to be provided as headers, for example `Content-Disposition`. Content-Type is described separately and SHALL be ignored in this section. This property SHALL be ignored if the request body media type is not a multipart. """ self.explode = explode """ When this is true, property values of type array or object generate separate parameters for each value of the array, or key-value-pair of the map. For other types of properties this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. This property SHALL be ignored if the request body media type is not application/x-www-form-urlencoded. """ self.allow_reserved = allow_reserved """ Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. The default value is false. This property SHALL be ignored if the request body media type is not application/x-www-form-urlencoded. """ class MediaType(OObject): """Each Media Type Object provides schema and examples for the media type identified by its key.""" def __init__( self, schema: Optional[Union["Schema", Reference]] = None, example: Optional[Any] = None, examples: Optional[Dict[str, Union[Example, Reference]]] = None, encoding: Optional[Dict[str, Encoding]] = None, ): """ Each Media Type Object provides schema and examples for the media type identified by its key. :param schema: The schema defining the content of the request, response, or parameter. :param example: Example of the media type. The example object SHOULD be in the correct format as specified by the media type. The example field is mutually exclusive of the examples field. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. :param examples: Examples of the media type. Each example object SHOULD match the media type and specified schema if present. The examples field is mutually exclusive of the example field. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. :param encoding: A map between a property name and its encoding information. The key, being the property name, MUST exist in the schema as a property. The encoding object SHALL only apply to requestBody objects when the media type is multipart or application/x-www-form-urlencoded. """ _assert_type(schema, (Schema, Reference), "schema", self.__class__) # Note: example is specified as "Any" _assert_type(examples, (dict,), "examples", self.__class__) _assert_type(encoding, (dict,), "encoding", self.__class__) # validations assert not (example and examples) if examples: for ex_name, ex in examples.items(): if not isinstance(ex, (Example, Reference)): raise AssertionError( "For `{}.examples, values should be an `Example` or a `Reference`. For {} it is a {}".format( self.__class__.__qualname__, ex_name, ex ) ) if encoding: for e_name, enc in encoding.items(): if not isinstance(enc, Encoding): raise AssertionError( "For `{}.encoding, values should be an `Encoding`. For {} it is a {}".format( self.__class__.__qualname__, e_name, type(enc) ) ) # Assignment and Docs if not schema: warnings.warn( "A MediaType without a schema is not shown in Swagger. {}".format( {"encoding": encoding, "example": example, "examples": examples, "schema": schema} ) ) traceback.print_stack() self.schema = schema """The schema defining the content of the request, response, or parameter.""" self.example = example """ Example of the media type. The example object SHOULD be in the correct format as specified by the media type. The example field is mutually exclusive of the examples field. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. """ self.examples = examples """ Examples of the media type. Each example object SHOULD match the media type and specified schema if present. The examples field is mutually exclusive of the example field. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. """ self.encoding = encoding """ A map between a property name and its encoding information. The key, being the property name, MUST exist in the schema as a property. The encoding object SHALL only apply to requestBody objects when the media type is multipart or application/x-www-form-urlencoded. """ class Schema(OObject): # pylint: disable=too-many-instance-attributes """ The Schema Object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. This object is an extended subset of the `JSON Schema Specification Wright Draft 00 <https://tools.ietf.org/html/draft-wright-json-schema-validation-00>`_. For more information about the properties, see JSON Schema Core and JSON Schema Validation. Unless stated otherwise, the property definitions follow the JSON Schema. The following properties are taken directly from the JSON Schema definition and follow the same specifications: - title - multiple_of - maximum - exclusive_maximum - minimum - exclusive_minimum - max_length - min_length - pattern - max_items - min_items - unique_items - max_properties - min_properties - required - enum The following properties are taken from the JSON Schema definition but their definitions were adjusted to the OpenAPI Specification. - type - Value MUST be a string. Multiple types via an array are not supported. - all_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - one_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - any_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - _not - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - items - Value MUST be an object and not an array. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. items MUST be present if the type is array. - properties - Property definitions MUST be a Schema Object and not a standard JSON Schema (inline or referenced). - additional_properties - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. Consistent with JSON Schema. - description - CommonMark syntax MAY be used for rich text representation. - _format - See Data Type Formats for further details. While relying on JSON Schema's defined formats, the OAS offers a few additional predefined formats. - default - The default value represents what would be assumed by the consumer of the input as the value of the schema if one is not provided. Unlike JSON Schema, the value MUST conform to the defined type for the Schema Object defined at the same level. For example, if type is string, then default can be "foo" but cannot be 1. Alternatively, any time a Schema Object can be used, a Reference Object can be used in its place. This allows referencing definitions instead of defining them inline. Additional properties defined by the JSON Schema specification that are not mentioned here are strictly unsupported. """ Integer = None # type: Schema """A pre-defined Integer Schema. Very simple, no properties other than `format` of `int64`.""" Number = None # type: Schema """A pre-defined Number Schema. Very simple, no properties other than `format` of `double`.""" String = None # type: Schema """A pre-defined String Schema. Very simple, no properties.""" Integers = None # type: Schema """A pre-defined Integers Schema. An array of (simple) Integer elements.""" Numbers = None # type: Schema """A pre-defined Number Schema. An array of (simple) Number elements.""" Strings = None # type: Schema """A pre-defined String Schema. An array of (simple) String elements.""" Object = None # type: Schema """A pre-defined Object Schema.""" def __init__( # pylint: disable=too-many-arguments, too-many-locals, too-many-statements, too-many-branches self, _type: Optional[str] = None, # # The following properties are taken directly from the JSON Schema definition and follow the same # specifications: title: Optional[str] = None, multiple_of: Optional[int] = None, maximum: Optional[int] = None, exclusive_maximum: bool = False, minimum: Optional[int] = None, exclusive_minimum: bool = False, max_length: Optional[int] = None, min_length: Optional[int] = None, pattern: Optional[str] = None, max_items: Optional[int] = None, min_items: Optional[int] = None, unique_items: bool = False, max_properties: Optional[int] = None, min_properties: Optional[int] = None, required: Optional[List[str]] = None, enum: Optional[List[Any]] = None, # # The following properties are taken from the JSON Schema definition but their definitions were adjusted to the # OpenAPI Specification. all_of: Optional[List[Union["Schema", Reference]]] = None, one_of: Optional[List[Union["Schema", Reference]]] = None, any_of: Optional[List[Union["Schema", Reference]]] = None, _not: Optional[List[Union["Schema", Reference]]] = None, items: Optional[Union["Schema", Reference]] = None, properties: Optional[Dict[str, Union["Schema", Reference]]] = None, additional_properties: Optional[Union[bool, "Schema", Reference]] = None, description: Optional[str] = None, _format: Optional[str] = None, default: Optional[Union[str, int, float, bool]] = None, # # The OAS extensions. nullable: bool = False, discriminator: Optional[Discriminator] = None, read_only: bool = False, write_only: bool = False, xml: Optional[XML] = None, external_docs: Optional[ExternalDocumentation] = None, example: Optional[Any] = None, deprecated: bool = False, # # sanic-openapi3e extension x_frozen: bool = False, ): """ The Schema Object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. This object is an extended subset of the `JSON Schema Specification Wright Draft 00 <https://tools.ietf.org/html/draft-wright-json-schema-validation-00>`_. For more information about the properties, see JSON Schema Core and JSON Schema Validation. Unless stated otherwise, the property definitions follow the JSON Schema. The following properties are taken directly from the JSON Schema definition and follow the same specifications: - title - multiple_of - maximum - exclusive_maximum - minimum - exclusive_minimum - max_length - min_length - pattern - max_items - min_items - unique_items - max_properties - min_properties - required - enum The following properties are taken from the JSON Schema definition but their definitions were adjusted to the OpenAPI Specification. - type - Value MUST be a string. Multiple types via an array are not supported. - all_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - one_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - any_of - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - _not - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. - items - Value MUST be an object and not an array. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. items MUST be present if the type is array. - properties - Property definitions MUST be a Schema Object and not a standard JSON Schema (inline or referenced). - additional_properties - Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. Consistent with JSON Schema. - description - CommonMark syntax MAY be used for rich text representation. - _format - See Data Type Formats for further details. While relying on JSON Schema's defined formats, the OAS offers a few additional predefined formats. - default - The default value represents what would be assumed by the consumer of the input as the value of the schema if one is not provided. Unlike JSON Schema, the value MUST conform to the defined type for the Schema Object defined at the same level. For example, if type is string, then default can be "foo" but cannot be 1. Alternatively, any time a Schema Object can be used, a Reference Object can be used in its place. This allows referencing definitions instead of defining them inline. Additional properties defined by the JSON Schema specification that are not mentioned here are strictly unsupported. :param title: Can be used to decorate a user interface with information about the data produced by this user interface. A title will preferrably [sic] be short. :param multiple_of: The value of "multiple_of" MUST be a number, strictly greater than 0. A numeric instance is only valid if division by this keyword's value results in an integer. :param maximum: The value of "maximum" MUST be a number, representing an upper limit for a numeric instance. If the instance is a number, then this keyword validates if "exclusiveMaximum" is true and instance is less than the provided value, or else if the instance is less than or exactly equal to the provided value. :param exclusive_maximum: The value of "exclusive_maximum" MUST be a boolean, representing whether the limit in "maximum" is exclusive or not. An undefined value is the same as false. If "exclusive_maximum" is true, then a numeric instance SHOULD NOT be equal to the value specified in "maximum". If "exclusive_maximum" is false (or not specified), then a numeric instance MAY be equal to the value of "maximum". :param minimum: The value of "minimum" MUST be a number, representing a lower limit for a numeric instance. If the instance is a number, then this keyword validates if "exclusive_minimum" is true and instance is greater than the provided value, or else if the instance is greater than or exactly equal to the provided value. :param exclusive_minimum: The value of "exclusive_minimum" MUST be a boolean, representing whether the limit in "minimum" is exclusive or not. An undefined value is the same as false. If "exclusive_minimum" is true, then a numeric instance SHOULD NOT be equal to the value specified in "minimum". If "exclusive_minimum" is false (or not specified), then a numeric instance MAY be equal to the value of "minimum". :param max_length: The value of this keyword MUST be a non-negative integer. The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. A string instance is valid against this keyword if its length is less than, or equal to, the value of this keyword. The length of a string instance is defined as the number of its characters as defined by RFC 7159 [RFC7159]. :param min_length: A string instance is valid against this keyword if its length is greater than, or equal to, the value of this keyword. The length of a string instance is defined as the number of its characters as defined by RFC 7159 [RFC7159]. The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. "min_length", if absent, may be considered as being present with integer value 0. :param pattern: The value of this keyword MUST be a string. This string SHOULD be a valid regular expression, according to the ECMA 262 regular expression dialect. A string instance is considered valid if the regular expression matches the instance successfully. Recall: regular expressions are not implicitly anchored. Note: whether or not this is a valid regular expression is not checked by sanic-openapi3e. :param max_items: The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An array instance is valid against "maxItems" if its size is less than, or equal to, the value of this keyword. :param min_items: The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An array instance is valid against "minItems" if its size is greater than, or equal to, the value of this keyword. If this keyword is not present, it may be considered present with a value of 0. :param unique_items: The value of this keyword MUST be a boolean. If this keyword has boolean value false, the instance validates successfully. If it has boolean value true, the instance validates successfully if all of its elements are unique. If not present, this keyword may be considered present with boolean value false. :param max_properties: he value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An object instance is valid against "max_properties" if its number of properties is less than, or equal to, the value of this keyword. :param min_properties: The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An object instance is valid against "min_properties" if its number of properties is greater than, or equal to, the value of this keyword. If this keyword is not present, it may be considered present with a value of 0. :param required: The value of this keyword MUST be an array. This array MUST have at least one element. Elements of this array MUST be strings, and MUST be unique. An object instance is valid against this keyword if its property set contains all elements in this keyword's array value. Note: sanic-openapi3e implements these checks as a Set of str. :param enum: The value of this keyword MUST be an array. This array SHOULD have at least one element. Elements in the array SHOULD be unique. Elements in the array MAY be of any type, including null. An instance validates successfully against this keyword if its value is equal to one of the elements in this keyword's array value. Note: sanic-openapi3e implements these checks as a Set of Any. :param _type: Value MUST be a string. Multiple types via an array are not supported. :param all_of: Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. :param one_of: Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. :param any_of: Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. :param _not: Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. :param items: Value MUST be an object and not an array. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. items MUST be present if the type is array. :param properties: Property definitions MUST be a Schema Object and not a standard JSON Schema (inline or referenced). :param additional_properties: Value can be boolean or object. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. Consistent with JSON Schema, additionalProperties defaults to true. :param description: CommonMark syntax MAY be used for rich text representation. :param _format: See `Data Type Formats <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#dataTypeFormat>`_ for further details. While relying on JSON Schema's defined formats, the OAS offers a few additional predefined formats. :param default: The default value represents what would be assumed by the consumer of the input as the value of the schema if one is not provided. Unlike JSON Schema, the value MUST conform to the defined type for the Schema Object defined at the same level. For example, if type is string, then default can be "foo" but cannot be 1. :param nullable: Allows sending a null value for the defined schema. Default value is false. :param discriminator: Adds support for polymorphism. The discriminator is an object name that is used to differentiate between other schemas which may satisfy the payload description. See Composition and Inheritance for more details. :param read_only: Relevant only for Schema "properties" definitions. Declares the property as "read only". This means that it MAY be sent as part of a response but SHOULD NOT be sent as part of the request. If the property is marked as read_only being true and is in the required list, the required will take effect on the response only. A property MUST NOT be marked as both read_only and writeOnly being true. Default value is false. :param write_only: Relevant only for Schema "properties" definitions. Declares the property as "write only". Therefore, it MAY be sent as part of a request but SHOULD NOT be sent as part of the response. If the property is marked as write_only being true and is in the required list, the required will take effect on the request only. A property MUST NOT be marked as both read_only and write_only being true. Default value is false. :param xml: This MAY be used only on properties schemas. It has no effect on root schemas. Adds additional metadata to describe the XML representation of this property. :param external_docs: Additional external documentation for this schema. :param example: A free-form property to include an example of an instance for this schema. To represent examples that cannot be naturally represented in JSON or YAML, a string value can be used to contain the example with escaping where necessary. :param deprecated: Specifies that a schema is deprecated and SHOULD be transitioned out of usage. Default value is false. :param x_frozen: Specifies that no modifications should be applied to this instance. Default is false. """ # JSON Schema definition _assert_type(title, (str,), "title", self.__class__) _assert_type(multiple_of, (int,), "multiple_of", self.__class__) _assert_type(maximum, (int, float), "maximum", self.__class__) _assert_type(exclusive_maximum, (bool,), "exclusive_maximum", self.__class__) _assert_type(minimum, (int, float), "minimum", self.__class__) _assert_type(exclusive_minimum, (bool,), "exclusive_minimum", self.__class__) _assert_type(max_length, (int,), "max_length", self.__class__) _assert_type(min_length, (int,), "min_length", self.__class__) _assert_type(pattern, (str,), "pattern", self.__class__) _assert_type(max_items, (int,), "max_items", self.__class__) _assert_type(min_items, (int,), "min_items", self.__class__) _assert_type(unique_items, (bool,), "unique_items", self.__class__) _assert_type(max_properties, (int,), "max_properties", self.__class__) _assert_type(min_properties, (int,), "min_properties", self.__class__) _assert_type(required, (list,), "required", self.__class__) _assert_type(enum, (list,), "enum", self.__class__) # JSON Schema definition but their definitions were adjusted to the OpenAPI Specification. if not any((all_of, one_of, any_of, _not)): _assert_type(_type, (str,), "_type as no all_of, one_of, any_of, _not", self.__class__) _assert_type(all_of, (list,), "all_of", self.__class__) _assert_type(one_of, (list,), "one_of", self.__class__) _assert_type(any_of, (list,), "any_of", self.__class__) _assert_type(_not, (list,), "_not", self.__class__) _assert_type(items, (Schema, Reference,), "items", self.__class__) _assert_type(properties, (dict,), "properties", self.__class__) _assert_type( additional_properties, (bool, Schema, Reference), "additional_properties", self.__class__, ) _assert_type(description, (str,), "description", self.__class__) _assert_type(_format, (str,), "_format", self.__class__) _assert_type(default, (str, int, float, bool), "default", self.__class__) # The OAS extensions _assert_type(nullable, (bool,), "nullable", self.__class__) _assert_type(discriminator, (Discriminator,), "discriminator", self.__class__) _assert_type(read_only, (bool,), "read_only", self.__class__) _assert_type(write_only, (bool,), "write_only", self.__class__) _assert_type(xml, (XML,), "xml", self.__class__) _assert_type(external_docs, (ExternalDocumentation,), "external_docs", self.__class__) # Note: example is defined to have the type `Any` _assert_type(deprecated, (bool,), "deprecated", self.__class__) _assert_strictly_greater_than_zero(multiple_of, "multiple_of", self.__class__) _assert_strictly_greater_than_zero(max_length, "max_length", self.__class__) _assert_strictly_greater_than_zero(min_length, "min_length", self.__class__) _assert_strictly_greater_than_zero(max_items, "max_items", self.__class__) _assert_strictly_greater_than_zero(min_properties, "min_properties", self.__class__) if required is not None: assert required, "MUST have at least one element." assert set(type(e) for e in required) == { type("str") }, "For `{}.required`, all elements MUST be strings.".format(self.__class__.__qualname__) assert len(set(required)) == len(required), "For `{}.required`, all elements MUST be unique.".format( self.__class__.__qualname__ ) # if enum: # if not len(enum): # logger.warning( # "`{}.enum` SHOULD have at least one element. {}".format( # self.__class__.__qualname__, self # ) # ) if _type == "array": _assert_required(items, "items", self.__class__, " as `type=array`.") if additional_properties is None: if _type == "object": additional_properties = True if properties is not None: for property_name, property_value in properties.items(): _assert_type(property_name, (str,), "properties.{} name".format(property_name), self.__class__) _assert_type(property_value, (Schema, Reference), "properties.{}".format(property_name), self.__class__) for attr, attr_name in ((all_of, "all_of"), (one_of, "one_of"), (any_of, "any_of"), (_not, "_not")): if attr: for idx, element in enumerate(attr): _assert_type(element, (Schema, Reference), "{}#{}".format(attr_name, idx), self.__class__) # Assignment and docs self.title = title """ Can be used to decorate a user interface with information about the data produced by this user interface. A title will preferrably [sic] be short. """ self.multiple_of = multiple_of """ The value of "multiple_of" MUST be a number, strictly greater than 0. A numeric instance is only valid if division by this keyword's value results in an integer. """ self.maximum = maximum """ The value of "maximum" MUST be a number, representing an upper limit for a numeric instance. If the instance is a number, then this keyword validates if "exclusiveMaximum" is true and instance is less than the provided value, or else if the instance is less than or exactly equal to the provided value. """ self.exclusive_maximum = exclusive_maximum """ The value of "exclusive_maximum" MUST be a boolean, representing whether the limit in "maximum" is exclusive or not. An undefined value is the same as false. If "exclusive_maximum" is true, then a numeric instance SHOULD NOT be equal to the value specified in "maximum". If "exclusive_maximum" is false (or not specified), then a numeric instance MAY be equal to the value of "maximum". """ self.minimum = minimum """ The value of "minimum" MUST be a number, representing a lower limit for a numeric instance. If the instance is a number, then this keyword validates if "exclusive_minimum" is true and instance is greater than the provided value, or else if the instance is greater than or exactly equal to the provided value. """ self.exclusive_minimum = exclusive_minimum """ The value of "exclusive_minimum" MUST be a boolean, representing whether the limit in "minimum" is exclusive or not. An undefined value is the same as false. If "exclusive_minimum" is true, then a numeric instance SHOULD NOT be equal to the value specified in "minimum". If "exclusive_minimum" is false (or not specified), then a numeric instance MAY be equal to the value of "minimum". """ self.max_length = max_length """ The value of this keyword MUST be a non-negative integer. The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. A string instance is valid against this keyword if its length is less than, or equal to, the value of this keyword. The length of a string instance is defined as the number of its characters as defined by RFC 7159 [RFC7159]. """ self.min_length = min_length """ A string instance is valid against this keyword if its length is greater than, or equal to, the value of this keyword. The length of a string instance is defined as the number of its characters as defined by RFC 7159 [RFC7159]. The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. "min_length", if absent, may be considered as being present with integer value 0. """ self.pattern = pattern """ The value of this keyword MUST be a string. This string SHOULD be a valid regular expression, according to the ECMA 262 regular expression dialect. A string instance is considered valid if the regular expression matches the instance successfully. Recall: regular expressions are not implicitly anchored. Note: whether or not this is a valid regular expression is not checked by sanic-openapi3e. """ self.max_items = max_items """ The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An array instance is valid against "maxItems" if its size is less than, or equal to, the value of this keyword. """ self.min_items = min_items """ The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An array instance is valid against "minItems" if its size is greater than, or equal to, the value of this keyword. If this keyword is not present, it may be considered present with a value of 0. """ self.unique_items = unique_items """ The value of this keyword MUST be a boolean. If this keyword has boolean value false, the instance validates successfully. If it has boolean value true, the instance validates successfully if all of its elements are unique. If not present, this keyword may be considered present with boolean value false. """ self.max_properties = max_properties """ The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An object instance is valid against "max_properties" if its number of properties is less than, or equal to, the value of this keyword. """ self.min_properties = min_properties """ The value of this keyword MUST be an integer. This integer MUST be greater than, or equal to, 0. An object instance is valid against "min_properties" if its number of properties is greater than, or equal to, the value of this keyword. If this keyword is not present, it may be considered present with a value of 0. """ self.required = required """ The value of this keyword MUST be an array. This array MUST have at least one element. Elements of this array MUST be strings, and MUST be unique. An object instance is valid against this keyword if its property set contains all elements in this keyword's array value. """ self.enum = enum """ The value of this keyword MUST be an array. This array SHOULD have at least one element. Elements in the array SHOULD be unique. Elements in the array MAY be of any type, including null. An instance validates successfully against this keyword if its value is equal to one of the elements in this keyword's array value. """ if _type: # TODO - must these be in OTypeFormat.keys()? pass self._type: Optional[str] = _type """Value MUST be a string. Multiple types via an array are not supported.""" self.all_of = all_of """Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema.""" self.one_of = one_of """Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema.""" self.any_of = any_of """Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema.""" self._not = _not """Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema.""" self.items: Optional[Union[Schema, Reference]] = items """ Value MUST be an object and not an array. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. items MUST be present if the type is array. """ # TODO - finish the definition of "items", it is incomplete. Is it supposed to be a dict of Schemae? self.properties = properties """ Property definitions MUST be a Schema Object and not a standard JSON Schema (inline or referenced).""" self.additional_properties = additional_properties """ Value can be boolean or object. Inline or referenced schema MUST be of a Schema Object and not a standard JSON Schema. """ self.description = description """CommonMark syntax MAY be used for rich text representation.""" self._format = _format """ See Data Type Formats for further details. While relying on JSON Schema's defined formats, the OAS offers a few additional predefined formats. """ self.default = default """ The default value represents what would be assumed by the consumer of the input as the value of the schema if one is not provided. Unlike JSON Schema, the value MUST conform to the defined type for the Schema Object defined at the same level. For example, if type is string, then default can be "foo" but cannot be 1. """ # TODO - add checks that ensure that the type of default is compatible with the _type # The OAS extensions self.nullable = nullable """Allows sending a null value for the defined schema. Default value is false.""" self.discriminator = discriminator """ Adds support for polymorphism. The discriminator is an object name that is used to differentiate between other schemas which may satisfy the payload description. See Composition and Inheritance for more details. """ self.read_only = read_only """ Relevant only for Schema "properties" definitions. Declares the property as "read only". This means that it MAY be sent as part of a response but SHOULD NOT be sent as part of the request. If the property is marked as read_only being true and is in the required list, the required will take effect on the response only. A property MUST NOT be marked as both read_only and write_only being true. Default value is false. """ self.write_only = write_only """ Relevant only for Schema "properties" definitions. Declares the property as "write only". Therefore, it MAY be sent as part of a request but SHOULD NOT be sent as part of the response. If the property is marked as write_only being true and is in the required list, the required will take effect on the request only. A property MUST NOT be marked as both read_only and write_only being true. Default value is false. """ self.xml = xml """ This MAY be used only on properties schemas. It has no effect on root schemas. Adds additional metadata to describe the XML representation of this property. """ self.external_docs = external_docs """Additional external documentation for this schema.""" self.example = example """ A free-form property to include an example of an instance for this schema. To represent examples that cannot be naturally represented in JSON or YAML, a string value can be used to contain the example with escaping where necessary. """ self.deprecated = deprecated """ Specifies that a schema is deprecated and SHOULD be transitioned out of usage. Default value is false.""" self.x_frozen = x_frozen """Specifies that no modifications should be applied to this instance. Default is false.""" if _type == "array" and not items: raise AssertionError( "For `{}`, items MUST be present if the type is array.".format(self.__class__.__qualname__) ) if _format: # TODO - must these be in OTypeFormat[_type]? pass if read_only and write_only: raise AssertionError( "For `{}`, A property; MUST NOT be marked as both read_only and write_only being true.".format( self.__class__.__qualname__ ) ) def add_enum(self, enum: List): assert not self.x_frozen, "Please do not modify a frozen Schema: {}".format(self) enum0_type: str = self.get_enum_type(enum) if self._type: if self._type == "array": if self.items: assert not isinstance(self.items, Reference), "You cannot add enums to a Reference" assert self.items._type == enum0_type, ( # pylint: disable=protected-access self.items, enum0_type, ) else: self.items = Schema(_type=enum0_type) else: assert self._type == enum0_type, (self._type, enum0_type) else: self._type = enum0_type self.enum = enum def clone(self) -> "Schema": _clone = copy.deepcopy(self) _clone.x_frozen = False return _clone @classmethod def get_enum_type(cls, enum: List) -> str: _assert_type(enum, (list,), "enum", cls) assert enum enum_types = {type(e) for e in enum} if len(enum_types) != 1: raise AssertionError( "For `{}`, all values of the enum/choices must be of the same type, but `{}` were seen".format( cls.__qualname__, enum_types ) ) # At definition, the Schema.String is set to `None`, but below (and before code gets to use it) it is set to # `Schema(_type="string")`. This is for python3.6 reasons. Thus, mypy needs to be silenced for the next line and # the line just before the return. schema_string_type = Schema.String._type # pylint: disable=protected-access assert schema_string_type _enum_type: str = schema_string_type enum0_schema: Optional[Schema] = {int: Schema.Integer, str: Schema.String, float: Schema.Number,}.get( type(enum[0]) ) if enum0_schema: enum0_schema_type = enum0_schema._type # pylint: disable=protected-access assert enum0_schema_type _enum_type = enum0_schema_type return _enum_type Schema.Integer = Schema(_type="integer", x_frozen=True) Schema.Number = Schema(_type="number", _format="double", x_frozen=True) Schema.String = Schema(_type="string", x_frozen=True) Schema.Integers = Schema(_type="array", items=Schema.Integer, x_frozen=True) Schema.Numbers = Schema(_type="array", items=Schema.Number, x_frozen=True) Schema.Strings = Schema(_type="array", items=Schema.String, x_frozen=True) Schema.Object = Schema(_type="object", additional_properties=True, x_frozen=True) class Parameter(OObject): # pylint: disable=too-many-instance-attributes """ Describes a single operation parameter. A unique parameter is defined by a combination of a name and location. Parameter Locations ------------------- There are four possible parameter locations specified by the `location` ("in" in the spec) field: - path - Used together with Path Templating, where the parameter value is actually part of the operation's URL. This does not include the host or base path of the API. For example, in /items/{itemId}, the path parameter is itemId. - query - Parameters that are appended to the URL. For example, in /items?id=###, the query parameter is id. - header - Custom headers that are expected as part of the request. Note that RFC7230 states header names are case insensitive. - cookie - Used to pass a specific cookie value to the API. """ def __init__( # pylint: disable=too-many-arguments, too-many-locals, too-many-statements self, name: str, _in: str, description: Optional[str] = None, required: Optional[bool] = None, deprecated: Optional[bool] = None, allow_empty_value: Optional[bool] = None, style: Optional[str] = None, explode: Optional[bool] = None, allow_reserved: Optional[bool] = None, schema: Optional[Union[Schema, Reference]] = None, example: Optional[Any] = None, examples: Optional[Dict[str, Union[Example, Reference]]] = None, content: Optional[Dict[str, MediaType]] = None, ): """ Describes a single operation parameter. A unique parameter is defined by a combination of a name and location. Parameter Locations ------------------- There are four possible parameter locations specified by the `location` ("in" in the spec) field: - path - Used together with Path Templating, where the parameter value is actually part of the operation's URL. This does not include the host or base path of the API. For example, in /items/{itemId}, the path parameter is itemId. - query - Parameters that are appended to the URL. For example, in /items?id=###, the query parameter is id. - header - Custom headers that are expected as part of the request. Note that RFC7230 states header names are case insensitive. - cookie - Used to pass a specific cookie value to the API. :param name: REQUIRED. The name of the parameter. Parameter names are case sensitive. If in is "path", the name field MUST correspond to the associated path segment from the path field in the Paths Object. See Path Templating for further information. If in is "header" and the name field is "Accept", "Content-Type" or "Authorization", the parameter definition SHALL be ignored. For all other cases, the name corresponds to the parameter name used by the in property. :param _in: REQUIRED. The location of the parameter. Possible values are "query", "header", "path" or "cookie". :param description: A brief description of the parameter. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. :param required: Determines whether this parameter is mandatory. If the parameter location is "path", this property is REQUIRED and its value MUST be true. Otherwise, the property MAY be included and its default value is false. :param deprecated: Specifies that a parameter is deprecated and SHOULD be transitioned out of usage. Default value is false. :param allow_empty_value: Sets the ability to pass empty-valued parameters. This is valid only for query parameters and allows sending a parameter with an empty value. Default value is false. If style is used, and if behavior is n/a (cannot be serialized), the value of allowEmptyValue SHALL be ignored. Use of this property is NOT RECOMMENDED, as it is likely to be removed in a later revision. :param style: Describes how the parameter value will be serialized depending on the type of the parameter value. Default values (based on value of ``location``): * for query - form; * for path - simple; * for header - simple; * for cookie - form. :param explode: When this is true, parameter values of type array or object generate separate parameters for each value of the array or key-value pair of the map. For other types of parameters this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. :param allow_reserved: Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. This property only applies to parameters with an in value of query. The default value is false. :param schema: The schema defining the type used for the parameter. :param example: Example of the media type. The example SHOULD match the specified schema and encoding properties if present. The example field is mutually exclusive of the examples field. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. To represent examples of media types that cannot naturally be represented in JSON or YAML, a string value can contain the example with escaping where necessary. :param examples: Examples of the media type. Each example SHOULD contain a value in the correct format as specified in the parameter encoding. The examples field is mutually exclusive of the example field. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. :param content: A map containing the representations for the parameter. The key is the media type and the value describes it. The map MUST only contain one entry. """ _assert_type(name, (str,), "name", self.__class__) _assert_type(_in, (str,), "_in", self.__class__) _assert_type(description, (str,), "description", self.__class__) _assert_type(required, (bool,), "required", self.__class__) _assert_type(deprecated, (bool,), "deprecated", self.__class__) _assert_type(allow_empty_value, (bool,), "allow_empty_value", self.__class__) _assert_type(style, (str,), "style", self.__class__) _assert_type(explode, (bool,), "explode", self.__class__) _assert_type(allow_reserved, (bool,), "allow_reserved", self.__class__) _assert_type(schema, (Schema, Reference), "schema", self.__class__) # Note: examples is specified to be "Any" _assert_type(examples, (dict,), "examples", self.__class__) _assert_type(content, (MediaType,), "content", self.__class__) # validations _assert_required(name, "name", self.__class__) if _in == "requestBody": raise AssertionError( """For `{}`, the OpenAPI spec requires a `@doc.requestBody` and not a `@doc.parameter`""".format(name) ) if _in not in ("query", "header", "path", "cookie"): raise AssertionError( """`{}._in` must be one of ("query", "header", "path" or "cookie"), not `{}`""".format( self.__class__.__qualname__, _in ) ) if _in == "path": assert required is True else: required = required or False assert not (example and examples) if examples: for ex_name, ex in examples.items(): if not isinstance(ex, (Example, Reference)): raise AssertionError( "For `{}.examples`, values must be either an `Example` or a `Reference`. {} is a {}".format( self.__class__.__qualname__, ex_name, type(ex) ) ) if content: if len(content) != 1: raise AssertionError("For `{}.content` MUST only contain one entry".format(self.__class__.__qualname__)) for c_name, _media_type in content.items(): if not isinstance(c_name, MediaType): raise AssertionError( "For `{}.content`, the value must be a `MediaType`".format(self.__class__.__qualname__) ) # Assignments and docs self.name = name """ REQUIRED. The name of the parameter. Parameter names are case sensitive. If in is "path", the name field MUST correspond to the associated path segment from the path field in the Paths Object. See Path Templating for further information. If in is "header" and the name field is "Accept", "Content-Type" or "Authorization", the parameter definition SHALL be ignored. For all other cases, the name corresponds to the parameter name used by the in property. """ self.description = description """ A brief description of the parameter. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. """ self._in = _in """REQUIRED. The location of the parameter. Possible values are "query", "header", "path" or "cookie".""" self.description = description """ A brief description of the parameter. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. """ self.required: bool = required """ Determines whether this parameter is mandatory. If the parameter _in is "path", this property is REQUIRED and its value MUST be true. Otherwise, the property MAY be included and its default value is false. """ self.deprecated = deprecated or False """Specifies that a parameter is deprecated and SHOULD be transitioned out of usage. Default value is false.""" self.allow_empty_value = allow_empty_value """ Sets the ability to pass empty-valued parameters. This is valid only for query parameters and allows sending a parameter with an empty value. Default value is false. If style is used, and if behavior is n/a (cannot be serialized), the value of allowEmptyValue SHALL be ignored. Use of this property is NOT RECOMMENDED, as it is likely to be removed in a later revision. """ self.style = style """ Describes how the parameter value will be serialized depending on the type of the parameter value. Default values (based on value of ``_in``): * for query - form; * for path - simple; * for header - simple; * for cookie - form. """ # ^^ TODO - set these defaults? self.explode = explode """ When this is true, parameter values of type array or object generate separate parameters for each value of the array or key-value pair of the map. For other types of parameters this property has no effect. When style is form, the default value is true. For all other styles, the default value is false. """ # ^^ TODO - set these defaults? self.allow_reserved = allow_reserved """ Determines whether the parameter value SHOULD allow reserved characters, as defined by RFC3986 ``:/?#[]@!$&'()*+,;=`` to be included without percent-encoding. This property only applies to parameters with an ``_in`` value of query. The default value is false. """ self.schema = schema """The schema defining the type used for the parameter.""" self.example = example """ Example of the media type. The example SHOULD match the specified schema and encoding properties if present. The example field is mutually exclusive of the examples field. Furthermore, if referencing a schema which contains an example, the example value SHALL override the example provided by the schema. To represent examples of media types that cannot naturally be represented in JSON or YAML, a string value can contain the example with escaping where necessary. """ self.examples = examples """ Examples of the media type. Each example SHOULD contain a value in the correct format as specified in the parameter encoding. The examples object is mutually exclusive of the example object. Furthermore, if referencing a schema which contains an example, the examples value SHALL override the example provided by the schema. """ self.content = content """ A map containing the representations for the parameter. The key is the media type and the value describes it. The map MUST only contain one entry. """ def __add__(self, other): assert isinstance(other, Parameter) _d = {} for key, value in self.__dict__.items(): # pylint: disable=too-many-nested-blocks if value: _d[key] = value other_value = getattr(other, key) if other_value and value != other_value: # TODO - this should be done recursively. Move __add__ up to OObject? # eg: schema: # Schema{"type": "integer"} != Schema{"format": "int32", "minimum": 4, "type": "integer"} if isinstance(other_value, Reference): # Simple replace. # TODO - check that the ref actually exists in the components. # TODO - check that the ref is compatible _d[key] = other_value elif isinstance(value, OObject): v_d = {} for v_k, v_v in value.__dict__.items(): if v_v: v_d[v_k] = v_v v_ov = getattr(other_value, v_k) if v_ov: assert v_v == v_ov, "{}.{}: {} != {}".format(key, v_k, v_v, v_ov) else: v_d[v_k] = getattr(other_value, v_k) # TODO: this use of globals is _OK_ but it would be nice to not need it. _d[key] = globals()[value.__class__.__qualname__](**v_d) else: raise AssertionError("{}: {} != {}".format(key, getattr(self, key), other_value)) else: _d[key] = getattr(other, key) return Parameter(**_d) class Link(OObject): """ The Link object represents a possible design-time link for a response. The presence of a link does not guarantee the caller's ability to successfully invoke it, rather it provides a known relationship and traversal mechanism between responses and other operations. Unlike dynamic links (i.e. links provided in the response payload), the OAS linking mechanism does not require link information in the runtime response. For computing links, and providing instructions to execute them, a runtime expression is used for accessing values in an operation and using them as parameters while invoking the linked operation. """ def __init__( # pylint: disable=too-many-arguments self, operation_ref: Optional[str] = None, operation_id: Optional[str] = None, parameters: Optional[Dict[str, Any]] = None, request_body: Optional[Any] = None, description: Optional[str] = None, server: Optional[Server] = None, ): """ The Link object represents a possible design-time link for a response. The presence of a link does not guarantee the caller's ability to successfully invoke it, rather it provides a known relationship and traversal mechanism between responses and other operations. Unlike dynamic links (i.e. links provided in the response payload), the OAS linking mechanism does not require link information in the runtime response. For computing links, and providing instructions to execute them, a runtime expression is used for accessing values in an operation and using them as parameters while invoking the linked operation. :param operation_ref: A relative or absolute reference to an OAS operation. This field is mutually exclusive of the operationId field, and MUST point to an Operation Object. Relative operationRef values MAY be used to locate an existing Operation Object in the OpenAPI definition. :param operation_id: The name of an existing, resolvable OAS operation, as defined with a unique operationId. This field is mutually exclusive of the operationRef field. :param parameters: A map representing parameters to pass to an operation as specified with operationId or identified via operationRef. The key is the parameter name to be used, whereas the value can be a constant or an expression to be evaluated and passed to the linked operation. The parameter name can be qualified using the parameter _in [{in}.]{name} for operations that use the same parameter name in different locations (e.g. path.id). :param request_body: A literal value or {expression} to use as a request body when calling the target operation. :param description: A description of the link. CommonMark syntax MAY be used for rich text representation. :param server: A server object to be used by the target operation. """ # TODO docstrings _assert_type(operation_ref, (str,), "operation_ref", self.__class__) _assert_type(operation_id, (str,), "operation_id", self.__class__) _assert_type(parameters, (dict,), "parameters", self.__class__) # Note: request_body can be Any _assert_type(description, (str,), "description", self.__class__) _assert_type(server, (Server,), "server", self.__class__) assert not (operation_ref and operation_id) self.operation_ref = operation_ref """ A relative or absolute reference to an OAS operation. This field is mutually exclusive of the operationId field, and MUST point to an Operation Object. Relative operationRef values MAY be used to locate an existing Operation Object in the OpenAPI definition. """ self.operation_id = operation_id """ The name of an existing, resolvable OAS operation, as defined with a unique operationId. This field is mutually exclusive of the operationRef field. """ self.parameters = parameters """ A map representing parameters to pass to an operation as specified with operationId or identified via operationRef. The key is the parameter name to be used, whereas the value can be a constant or an expression to be evaluated and passed to the linked operation. The parameter name can be qualified using the parameter _in [{_in}.]{name} for operations that use the same parameter name in different locations (e.g. path.id). """ self.request_body = request_body """ A literal value or {expression} to use as a request body when calling the target operation.""" self.description = description self.server = server """A server object to be used by the target operation.""" class Response(OObject): """ Describes a single response from an API Operation, including design-time, static links to operations based on the response. """ # This is reset from None to a Response directly after the class definition. DEFAULT_SUCCESS = None # type: Response BAD_REQUEST = None # type: Response UNAUTHORIZED = None # type: Response FORBIDDEN = None # type: Response NOT_FOUND = None # type: Response METHOD_NOT_ALLOWED = None # type: Response GONE = None # type: Response INTERNAL_SERVER_ERROR = None # type: Response def __init__( self, description: str, headers: Optional[Dict[str, Union[Header, Reference]]] = None, content: Optional[Dict[str, MediaType]] = None, links: Optional[Dict[str, Union[Link, Reference]]] = None, ): """ Describes a single response from an API Operation, including design-time, static links to operations based on the response. :param description: REQUIRED. A short description of the response. CommonMark syntax MAY be used for rich text representation. :param headers: Maps a header name to its definition. RFC7230 states header names are case insensitive. If a response header is defined with the name "Content-Type", it SHALL be ignored. :param content: A map containing descriptions of potential response payloads. The key is a media type or media type range and the value describes it. For responses that match multiple keys, only the most specific key is applicable. e.g. ``text/plain`` overrides ``text/*``. :param links: A map of operations links that can be followed from the response. The key of the map is a short """ _assert_type(description, (str,), "description", self.__class__) _assert_type(headers, (dict,), "headers", self.__class__) _assert_type(content, (dict,), "content", self.__class__) _assert_type(links, (dict,), "links", self.__class__) _assert_required(description, "description", self.__class__) if headers: for _header_name, header_spec in headers.items(): assert isinstance(header_spec, (Header, Reference)) if content: for _media_type_name, media_type_spec in content.items(): assert isinstance(media_type_spec, MediaType) if links: for _link_name, link_spec in links.items(): assert isinstance(link_spec, (Link, Reference)) # Assignment and docs self.description = description """ REQUIRED. A short description of the response. CommonMark syntax MAY be used for rich text representation. """ self.headers = headers """ Maps a header name to its definition. RFC7230 states header names are case insensitive. If a response header is defined with the name "Content-Type", it SHALL be ignored. """ self.content = content """ A map containing descriptions of potential response payloads. The key is a media type or media type range and the value describes it. For responses that match multiple keys, only the most specific key is applicable. e.g. ``text/plain`` overrides ``text/*``. """ self.links = links """ A map of operations links that can be followed from the response. The key of the map is a short name for the link, following the naming constraints of the names for Component Objects. """ Response.DEFAULT_SUCCESS = Response(description="OK") Response.BAD_REQUEST = Response(description="Bad Request") Response.UNAUTHORIZED = Response(description="Unauthorized") Response.FORBIDDEN = Response(description="Forbidden") Response.NOT_FOUND = Response(description="Not Found") Response.METHOD_NOT_ALLOWED = Response(description="Method Not Allowed") Response.GONE = Response(description="Gone") Response.INTERNAL_SERVER_ERROR = Response(description="Internal Server Error") class RequestBody(OObject): """Describes a single request body.""" def __init__( self, content: Dict[str, MediaType], description: Optional[str] = None, required: bool = False, ): """ Describes a single request body. :param content: REQUIRED. The content of the request body. The key is a media type or media type range and the value describes it. For requests that match multiple keys, only the most specific key is applicable. e.g. ``text/plain`` overrides ``text/*`` :param description: A brief description of the request body. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. :param required: Determines if the request body is required in the request. Defaults to false. """ # TODO - types _assert_required(content, "content", self.__class__) _assert_type(content, (dict,), "content", self.__class__) # Assignment and docs self.description = description """ A brief description of the request body. This could contain examples of use. CommonMark syntax MAY be used for rich text representation. """ self.content = content """ REQUIRED. The content of the request body. The key is a media type or media type range and the value describes it. For requests that match multiple keys, only the most specific key is applicable. e.g. ``text/plain`` overrides ``text/*`` """ self.required = required """Determines if the request body is required in the request. Defaults to false.""" class OAuthFlow(OObject): """ Configuration details for a supported OAuth Flow. Note: there is an ``Applies To`` column in the spec and its full meaning is not clear. Be advised that you may need to check again how this applies to you. See `OAuth Flow Object <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#oauth-flow-object>`_. Specifically unclear (and inconsistent with some other sections of the docs) is whether the "REQUIRED" terminology only applies to the value in the ``Applies To`` column. For this reason, there is no validation that (possibly) REQUIRED values are presented. """ def __init__( self, authorization_url: str, token_url: str, scopes: Dict[str, str], refresh_url: Optional[str] = None, ): """ Configuration details for a supported OAuth Flow. Note: there is an ``Applies To`` column in the spec and its full meaning is not clear. Be advised that you may need to check again how this applies to you. See `OAuth Flow Object <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#oauth-flow-object>`_. Specifically unclear (and inconsistent with some other sections of the docs) is whether the "REQUIRED" terminology only applies to the value in the ``Applies To`` column. For this reason, there is no validation that (possibly) REQUIRED values are presented. :param authorization_url: REQUIRED (but not checked). The authorization URL to be used for this flow. This MUST be in the form of a URL. :param token_url: REQUIRED (but not checked). The token URL to be used for this flow. This MUST be in the form of a URL. :param refresh_url: The URL to be used for obtaining refresh tokens. This MUST be in the form of a URL. :param scopes: REQUIRED (but not checked). The available scopes for the OAuth2 security scheme. A map between the scope name and a short description for it. """ # TODO - see notes above re: validation # Assignment and docs self.authorization_url = authorization_url """ REQUIRED (but not checked). The authorization URL to be used for this flow. This MUST be in the form of a URL. """ self.token_url = token_url """REQUIRED (but not checked). The token URL to be used for this flow. This MUST be in the form of a URL.""" self.refresh_url = refresh_url """The URL to be used for obtaining refresh tokens. This MUST be in the form of a URL.""" self.scopes = scopes """ REQUIRED (but not checked). The available scopes for the OAuth2 security scheme. A map between the scope name and a short description for it. """ class OAuthFlows(OObject): """Allows configuration of the supported OAuth Flows.""" def __init__( self, implicit: Optional[OAuthFlow] = None, password: Optional[OAuthFlow] = None, client_credentials: Optional[OAuthFlow] = None, authorization_code: Optional[OAuthFlow] = None, ): """ Allows configuration of the supported OAuth Flows. :param implicit: Configuration for the OAuth Implicit flow. :param password: Configuration for the OAuth Resource Owner Password flow. :param client_credentials: Configuration for the OAuth Client Credentials flow. Previously called application in OpenAPI 2.0. :param authorization_code: Configuration for the OAuth Authorization Code flow. Previously called accessCode in OpenAPI 2.0. """ # TODO - types # No specific validation # Assignment and docs self.implicit = implicit """Configuration for the OAuth Implicit flow""" self.password = password """Configuration for the OAuth Resource Owner Password flow""" self.client_credentials = client_credentials """Configuration for the OAuth Client Credentials flow. Previously called application in OpenAPI 2.0.""" self.authorization_code = authorization_code """Configuration for the OAuth Authorization Code flow. Previously called accessCode in OpenAPI 2.0.""" class SecurityScheme(OObject): # pylint: disable=too-many-instance-attributes """ Defines a security scheme that can be used by the operations. Supported schemes are HTTP authentication, an API key (either as a header, a cookie parameter or as a query parameter), OAuth2's common flows (implicit, password, application and access code) as defined in RFC6749, and OpenID Connect Discovery. """ def __init__( # pylint: disable=too-many-arguments self, _type: str, name: Optional[str] = None, _in: Optional[str] = None, scheme: Optional[str] = None, flows: Optional[OAuthFlows] = None, openid_connect_url: Optional[str] = None, description: Optional[str] = None, bearer_format=None, ): """ Defines a security scheme that can be used by the operations. Supported schemes are HTTP authentication, an API key (either as a header, a cookie parameter or as a query parameter), OAuth2's common flows (implicit, password, application and access code) as defined in RFC6749, and OpenID Connect Discovery. :param _type: REQUIRED. The type of the security scheme. Valid values are "apiKey", "http", "oauth2", "openIdConnect". :param description: A short description for security scheme. CommonMark syntax MAY be used for rich text representation. :param name: REQUIRED when `_type == "apiKey"`. The name of the header, query or cookie parameter to be used. :param _in: REQUIRED when `_type == "apiKey"`. The location of the API key. Valid values are "query", "header" or "cookie". :param scheme: REQUIRED when `_type == "http"`. The name of the HTTP Authorization scheme to be used in the Authorization header as defined in RFC7235. :param bearer_format: A hint to the client to identify how the bearer token is formatted. Bearer tokens are usually generated by an authorization server, so this information is primarily for documentation purposes. :param flows: REQUIRED when `_type` is `oauth2`. An object containing configuration information for the flow types supported. :param openid_connect_url: REQUIRED when `_type` is `openIdConnect`. OpenId Connect URL to discover OAuth2 configuration values. This MUST be in the form of a URL. """ # TODO - types assert _type in {"apiKey", "http", "oauth2", "openIdConnect"} if _type == "apiKey": _assert_required(name, "name for _type 'apiKey'", self.__class__) _assert_required(_in, "_id for _type 'apiKey'", self.__class__) assert _in in {"query", "header", "cookie"}, _in elif _type == "http": _assert_required(scheme, "scheme for _type 'http'", self.__class__) elif _type == "oauth2": _assert_required(flows, "flows for _type 'oauth2'", self.__class__) elif _type == "openIdConnect": _assert_required(openid_connect_url, "openid_connect_url for _type 'openIdConnect'", self.__class__) self._type = _type """ REQUIRED. The type of the security scheme. Valid values are "apiKey", "http", "oauth2", "openIdConnect".""" self.description = description """A short description for security scheme. CommonMark syntax MAY be used for rich text representation.""" self.name = name """REQUIRED when `_type == "apiKey"`. The name of the header, query or cookie parameter to be used.""" self._in = _in """REQUIRED when `_type == "apiKey"`. The location of the API key. Valid values are "query", "header" or "cookie".""" self.scheme = scheme """ REQUIRED when `_type == "http"`.. The name of the HTTP Authorization scheme to be used in the Authorization header as defined in RFC7235. """ self.bearer_format = bearer_format """ A hint to the client to identify how the bearer token is formatted. Bearer tokens are usually generated by an authorization server, so this information is primarily for documentation purposes. """ self.flows = flows """ REQUIRED when `_type == "oauth2"`. An object containing configuration information for the flow types supported. """ self.openid_connect_url = openid_connect_url """ REQUIRED when `_type == "openIdConnect"`. OpenId Connect URL to discover OAuth2 configuration values. This MUST be in the form of a URL. """ class Callback(OObject): """ A map of possible out-of band callbacks related to the parent operation. Each value in the map is a PathItem Object that describes a set of requests that may be initiated by the API provider and the expected responses. The key value used to identify the callback object is an expression, evaluated at runtime, that identifies a URL to use for the callback operation. Note: there is a _lot_ more documentation available in the spec for callbacks. `See <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#callback-object>`_ . """ # TODO - may need to reimplement the ``serialise`` and ``schema``. def __init__(self, callbacks: Dict[Any, "PathItem"]): """ A map of possible out-of band callbacks related to the parent operation. Each value in the map is a PathItem Object that describes a set of requests that may be initiated by the API provider and the expected responses. The key value used to identify the callback object is an expression, evaluated at runtime, that identifies a URL to use for the callback operation. Note: there is a _lot_ more documentation available in the spec for callbacks. `See <https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#callback-object>`_ . :param callbacks: A mapping of Any to a PathItem used to define a callback request and expected responses. A `complete example <https://github.com/OAI/OpenAPI-Specification/blob/master/examples/v3.0/callback-example.yaml>`_ is available. """ # TODO - types # TODO - validations self.__dict__ = callbacks def __setitem__(self, key, item): self.__dict__[key] = item def __getitem__(self, key): return self.__dict__[key] def __repr__(self): return repr(self.__dict__) def __len__(self): return len(self.__dict__) def __delitem__(self, key): del self.__dict__[key] def clear(self): return self.__dict__.clear() def copy(self): return self.__dict__.copy() def has_key(self, k): return k in self.__dict__ def update(self, *args, **kwargs): return self.__dict__.update(*args, **kwargs) def keys(self): return self.__dict__.keys() def values(self): return self.__dict__.values() def items(self): return self.__dict__.items() def pop(self, *args): return self.__dict__.pop(*args) def __cmp__(self, other): return self.__dict__.__cmp__(other) def __contains__(self, item): return item in self.__dict__ def __iter__(self): return iter(self.__dict__) class Responses(OObject): """ A container for the expected responses of an operation. The container maps a HTTP response code to the expected response. The documentation is not necessarily expected to cover all possible HTTP response codes because they may not be known in advance. However, documentation is expected to cover a successful operation response and any known errors. The default MAY be used as a default response object for all HTTP codes that are not covered individually by the specification. The Responses Object MUST contain at least one response code, and it SHOULD be the response for a successful operation call. "default" key in responses -------------------------- The documentation of responses other than the ones declared for specific HTTP response codes. Use this field to cover undeclared responses. A Reference Object can link to a response that the OpenAPI Object's components/responses section defines. HTTP status code keys in responses ---------------------------------- Any HTTP status code can be used as the property name, but only one property per code, to describe the expected response for that HTTP status code. A Reference Object can link to a response that is defined in the OpenAPI Object's components/responses section. This field MUST be enclosed in quotation marks (for example, "200") for compatibility between JSON and YAML. To define a range of response codes, this field MAY contain the uppercase wildcard character X. For example, 2XX represents all response codes between [200-299]. Only the following range definitions are allowed: 1XX, 2XX, 3XX, 4XX, and 5XX. If a response is defined using an explicit code, the explicit code definition takes precedence over the range definition for that code. """ DEFAULT_RESPONSES = { "200": Response.DEFAULT_SUCCESS, "400": Response.BAD_REQUEST, # "401": Response.UNAUTHORIZED, # "403": Response.FORBIDDEN, "404": Response.NOT_FOUND, # "405": Response.METHOD_NOT_ALLOWED, # "410": Response.GONE, "500": Response.INTERNAL_SERVER_ERROR, } # TODO - may need to reimplement the ``serialise`` and ``schema``. def __init__(self, responses: Optional[Dict[str, Union[Response, Reference]]] = None, no_defaults: bool = False): """ A container for the expected responses of an operation. The container maps a HTTP response code to the expected response. The documentation is not necessarily expected to cover all possible HTTP response codes because they may not be known in advance. However, documentation is expected to cover a successful operation response and any known errors. The default MAY be used as a default response object for all HTTP codes that are not covered individually by the specification. The Responses Object MUST contain at least one response code, and it SHOULD be the response for a successful operation call. "default" key in responses -------------------------- The documentation of responses other than the ones declared for specific HTTP response codes. Use this field to cover undeclared responses. A Reference Object can link to a response that the OpenAPI Object's components/responses section defines. HTTP status code keys in responses ---------------------------------- Any HTTP status code can be used as the property name, but only one property per code, to describe the expected response for that HTTP status code. A Reference Object can link to a response that is defined in the OpenAPI Object's components/responses section. This field MUST be enclosed in quotation marks (for example, "200") for compatibility between JSON and YAML. To define a range of response codes, this field MAY contain the uppercase wildcard character X. For example, 2XX represents all response codes between [200-299]. Only the following range definitions are allowed: 1XX, 2XX, 3XX, 4XX, and 5XX. If a response is defined using an explicit code, the explicit code definition takes precedence over the range definition for that code. :param responses: A mapping of response code (as str) to a Response. :param no_defaults: If True, the defaults are not used, thus only the entries of the `responses` dict will be used. """ # TODO - types # TODO - validations _init_responses: Dict[str, Union[Response, Reference]] if responses: if no_defaults: _init_responses = responses else: # Start with references ... _init_responses = { key: Reference("#/components/responses/{}".format(key)) for key in Responses.DEFAULT_RESPONSES } for status_code, response in responses.items(): _init_responses[str(status_code)] = response else: # Use references _init_responses = { key: Reference("#/components/responses/{}".format(key)) for key in Responses.DEFAULT_RESPONSES } self.__dict__ = _init_responses @property def as_dict(self) -> Dict[str, Union[Response, Reference]]: return self.__dict__ def __setitem__(self, key, item): self.__dict__[key] = item def __getitem__(self, key): return self.__dict__[key] def __repr__(self): return repr(self.__dict__) def __len__(self): return len(self.__dict__) def __delitem__(self, key): del self.__dict__[key] def clear(self): return self.__dict__.clear() def copy(self): return self.__dict__.copy() def has_key(self, k): return k in self.__dict__ def update(self, *args, **kwargs): return self.__dict__.update(*args, **kwargs) def keys(self): return self.__dict__.keys() def values(self): return self.__dict__.values() def items(self): return self.__dict__.items() def pop(self, *args): return self.__dict__.pop(*args) # def __cmp__(self, other): # return self.__dict__.__cmp__(other) def __contains__(self, item): return item in self.__dict__ def __iter__(self): return iter(self.__dict__) class Components(OObject): # pylint: disable=too-many-instance-attributes """ Holds a set of reusable objects for different aspects of the OAS. All objects defined within the components object will have no effect on the API unless they are explicitly referenced from properties outside the components object. """ def __init__( # pylint: disable=too-many-arguments self, schemas: Optional[Mapping[str, Union[Schema, Reference]]] = None, responses: Optional[Dict[str, Union[Response, Reference]]] = None, parameters: Optional[Dict[str, Union[Parameter, Reference]]] = None, examples: Optional[Dict[str, Union[Example, Reference]]] = None, request_bodies: Optional[Dict[str, Union[RequestBody, Reference]]] = None, headers: Optional[Dict[str, Union[Header, Reference]]] = None, security_schemes: Optional[Dict[str, Union[SecurityScheme, Reference]]] = None, links: Optional[Dict[str, Union[Link, Reference]]] = None, callbacks: Optional[Dict[str, Union[Callback, Reference]]] = None, ): """ Holds a set of reusable objects for different aspects of the OAS. All objects defined within the components object will have no effect on the API unless they are explicitly referenced from properties outside the components object. :param schemas: An object to hold reusable Schema Objects. :param responses: An object to hold reusable Response Objects. :param parameters: An object to hold reusable Parameter Objects. :param examples: An object to hold reusable Example Objects. :param request_bodies: An object to hold reusable Request Body Objects. :param headers: An object to hold reusable Header Objects. :param security_schemes: An object to hold reusable Security Scheme Objects. :param links: An object to hold reusable Link Objects. :param callbacks: An object to hold reusable Callback Objects. """ _assert_type(schemas, (dict,), "schemas", self.__class__) _assert_type(responses, (dict,), "responses", self.__class__) _assert_type(parameters, (dict,), "parameters", self.__class__) _assert_type(examples, (dict,), "examples", self.__class__) _assert_type(request_bodies, (dict,), "request_bodies", self.__class__) _assert_type(headers, (dict,), "headers", self.__class__) _assert_type(security_schemes, (dict,), "security_schemes", self.__class__) _assert_type(links, (dict,), "links", self.__class__) _assert_type(callbacks, (dict,), "callbacks", self.__class__) # TODO - value type checks # assignment and docs self.schemas = schemas """An object to hold reusable Schema Objects.""" self.responses = responses or Responses.DEFAULT_RESPONSES """An object to hold reusable Response Objects.""" self.parameters = parameters """An object to hold reusable Parameter Objects.""" self.examples = examples """An object to hold reusable Example Objects.""" self.request_bodies = request_bodies """An object to hold reusable Request Body Objects.""" self.headers = headers """An object to hold reusable Header Objects.""" self.security_schemes = security_schemes """An object to hold reusable Security Scheme Objects.""" self.links = links """An object to hold reusable Link Objects.""" self.callbacks = callbacks """An object to hold reusable Callback Objects.""" class SecurityRequirement(OObject): # pylint: disable=missing-function-docstring """ Lists the required security schemes to execute this operation. The name used for each property MUST correspond to a security scheme declared in the Security Schemes under the Components Object. Security Requirement Objects that contain multiple schemes require that all schemes MUST be satisfied for a request to be authorized. This enables support for scenarios where multiple query parameters or HTTP headers are required to convey security information. When a list of Security Requirement Objects is defined on the OpenAPI Object or Operation Object, only one of the Security Requirement Objects in the list needs to be satisfied to authorize the request. """ # TODO - may need to reimplement the ``serialise`` and ``schema``. def __init__(self, names: Dict[str, List[str]]): """ Lists the required security schemes to execute this operation. The name used for each property MUST correspond to a security scheme declared in the Security Schemes under the Components Object. Security Requirement Objects that contain multiple schemes require that all schemes MUST be satisfied for a request to be authorized. This enables support for scenarios where multiple query parameters or HTTP headers are required to convey security information. When a list of Security Requirement Objects is defined on the OpenAPI Object or Operation Object, only one of the Security Requirement Objects in the list needs to be satisfied to authorize the request. :param names: Each ``names`` dict key MUST correspond to a security scheme which is declared in the Security Schemes under the Components Object. If the security scheme is of type "oauth2" or "openIdConnect", then the value is a list of scope names required for the execution. For other security scheme types, the array MUST be empty. """ # TODO - types # TODO - validations self.__dict__ = names def __setitem__(self, key, item): self.__dict__[key] = item def __getitem__(self, key): return self.__dict__[key] def __repr__(self): return repr(self.__dict__) def __len__(self): return len(self.__dict__) def __delitem__(self, key): del self.__dict__[key] def clear(self): return self.__dict__.clear() def copy(self): return self.__dict__.copy() def has_key(self, k): return k in self.__dict__ def update(self, *args, **kwargs): return self.__dict__.update(*args, **kwargs) def keys(self): return self.__dict__.keys() def values(self): return self.__dict__.values() def items(self): return self.__dict__.items() def pop(self, *args): return self.__dict__.pop(*args) def __cmp__(self, other): return self.__dict__.__cmp__(other) def __contains__(self, item): return item in self.__dict__ def __iter__(self): return iter(self.__dict__) class Operation(OObject): # pylint: disable=too-many-instance-attributes """Describes a single API operation on a path.""" OPERATION_NAMES = frozenset(("get", "put", "post", "delete", "options", "head", "patch", "trace")) def __init__( # pylint: disable=too-many-arguments self, operation_id: str, responses: Responses, tags: Optional[List[str]] = None, summary: Optional[str] = None, description: Optional[str] = None, external_docs: Optional[ExternalDocumentation] = None, parameters: Optional[List[Union[Parameter, Reference]]] = None, request_body: Optional[Union[RequestBody, Reference]] = None, callbacks: Optional[Dict[str, Union[Callback, Reference]]] = None, deprecated: bool = False, security: Optional[List[SecurityRequirement]] = None, servers: Optional[List[Server]] = None, x_handler_route: sanic.router.Route = None, ): """ Describes a single API operation on a path. :param tags: A list of tags names for API documentation control. Tags can be used for logical grouping of operations by resources or any other qualifier. :param summary: A short summary of what the operation does. :param description: A verbose explanation of the operation behavior. CommonMark syntax MAY be used for rich text representation. :param external_docs: Additional external documentation for this operation. :param operation_id: Unique string used to identify the operation. The id MUST be unique among all operations described in the API. The operationId value is case-sensitive. Tools and libraries MAY use the operationId to uniquely identify an operation, therefore, it is RECOMMENDED to follow common programming naming conventions. :param parameters: A list of parameters that are applicable for this operation. If a parameter is already defined at the Path Item, the new definition will override it but can never remove it. The list MUST NOT include duplicated parameters. A unique parameter is defined by a combination of a name and location. The list can use the Reference Object to link to parameters that are defined at the OpenAPI Object's components/parameters. :param request_body: The request body applicable for this operation. The requestBody is only supported in HTTP methods where the HTTP 1.1 specification RFC7231 has explicitly defined semantics for request bodies. In other cases where the HTTP spec is vague, requestBody SHALL be ignored by consumers. :param responses: REQUIRED. The list of possible responses as they are returned from executing this operation. :param callbacks: A map of possible out-of band callbacks related to the parent operation. The key is a unique identifier for the Callback Object. Each value in the map is a Callback Object that describes a request that may be initiated by the API provider and the expected responses. The key value used to identify the callback object is an expression, evaluated at runtime, that identifies a URL to use for the callback operation. :param deprecated: Declares this operation to be deprecated. Consumers SHOULD refrain from usage of the declared operation. Default value is false. :param security: A declaration of which security mechanisms can be used for this operation. The list of values includes alternative security requirement objects that can be used. Only one of the security requirement objects need to be satisfied to authorize a request. This definition overrides any declared top-level security. To remove a top-level security declaration, an empty array can be used. :param servers: An alternative server array to service this operation. If an alternative server object is specified at the Path Item Object or Root level, it will be overridden by this value. """ # TODO - types _assert_type(parameters, (list,), "parameters", self.__class__) # TODO - validations _assert_required(responses, "responses", self.__class__) _assert_required(operation_id, "operation_id", self.__class__) # assignment and docs self.tags = tags """ A list of tags for API documentation control. Tags can be used for logical grouping of operations by resources or any other qualifier. """ self.summary = summary """A short summary of what the operation does.""" self.description = description """ A verbose explanation of the operation behavior. CommonMark syntax MAY be used for rich text representation. """ self.external_docs = external_docs """Additional external documentation for this operation.""" assert operation_id self.operation_id = operation_id """ Unique string used to identify the operation. The id MUST be unique among all operations described in the API. The operationId value is case-sensitive. Tools and libraries MAY use the operationId to uniquely identify an operation, therefore, it is RECOMMENDED to follow common programming naming conventions. """ self.parameters = parameters """ A list of parameters that are applicable for this operation. If a parameter is already defined at the Path Item, the new definition will override it but can never remove it. The list MUST NOT include duplicated parameters. A unique parameter is defined by a combination of a name and location. The list can use the Reference Object to link to parameters that are defined at the OpenAPI Object's components/parameters. """ self.request_body = request_body """ The request body applicable for this operation. The requestBody is only supported in HTTP methods where the HTTP 1.1 specification RFC7231 has explicitly defined semantics for request bodies. In other cases where the HTTP spec is vague, requestBody SHALL be ignored by consumers. """ self.responses = responses """REQUIRED. The list of possible responses as they are returned from executing this operation.""" self.callbacks = callbacks """ A map of possible out-of band callbacks related to the parent operation. The key is a unique identifier for the Callback Object. Each value in the map is a Callback Object that describes a request that may be initiated by the API provider and the expected responses. The key value used to identify the callback object is an expression, evaluated at runtime, that identifies a URL to use for the callback operation. """ self.deprecated = deprecated """ Declares this operation to be deprecated. Consumers SHOULD refrain from usage of the declared operation. Default value is false. """ self.security = security """ A declaration of which security mechanisms can be used for this operation. The list of values includes alternative security requirement objects that can be used. Only one of the security requirement objects need to be satisfied to authorize a request. This definition overrides any declared top-level security. To remove a top-level security declaration, an empty array can be used. """ self.servers = servers """ An alternative server array to service this operation. If an alternative server object is specified at the PathItem Object or Root level, it will be overridden by this value. """ self.x_handler_route = x_handler_route class Tag(OObject): """ Adds metadata to a single tag that is used by the Operation Object. It is not mandatory to have a Tag Object per tag defined in the Operation Object instances. """ def __init__( self, name: str, description: Optional[str] = None, external_docs: Optional[ExternalDocumentation] = None, ): """ Adds metadata to a single tag that is used by the Operation Object. It is not mandatory to have a Tag Object per tag defined in the Operation Object instances. :param name: REQUIRED. The name of the tag. :param description: A short description for the tag. CommonMark syntax MAY be used for rich text representation. :param external_docs: An ExternalDocumentation fpr this tag. """ _assert_required(name, "name", self.__class__) self.name = name """REQUIRED. The name of the tag.""" self.description = description """A short description for the tag. CommonMark syntax MAY be used for rich text representation.""" self.external_docs = external_docs """Additional external documentation for this tag.""" def __hash__(self): return hash((self.name, self.description, self.external_docs)) def __eq__(self, other): if not isinstance(other, type(self)): raise NotImplementedError() return ( self.name == other.name and self.description == other.description and self.external_docs == other.external_docs ) def __lt__(self, other): if not isinstance(other, type(self)): raise NotImplementedError() return (self.name, self.description, self.external_docs) < (other.name, other.description, other.external_docs,) class PathItem(OObject): # pylint: disable=too-many-instance-attributes """ Describes the operations available on a single path. A Path Item MAY be empty, due to ACL constraints. The path itself is still exposed to the documentation viewer but they will not know which operations and parameters are available. """ def __init__( # pylint: disable=too-many-locals, too-many-arguments self, dollar_ref: Optional[str] = None, summary: Optional[str] = None, description: Optional[str] = None, get: Optional[Operation] = None, put: Optional[Operation] = None, post: Optional[Operation] = None, delete: Optional[Operation] = None, options: Optional[Operation] = None, head: Optional[Operation] = None, patch: Optional[Operation] = None, trace: Optional[Operation] = None, servers: Optional[List[Server]] = None, parameters: Optional[List[Union[Parameter, Reference]]] = None, request_body: Optional[Union[RequestBody, Reference]] = None, x_deprecated_holder: bool = False, x_exclude: bool = False, x_external_docs_holder: Optional[ExternalDocumentation] = None, x_responses_holder: Optional[Dict[str, Union[Response, Reference]]] = None, x_security_holder: Optional[List[SecurityRequirement]] = None, x_tags_holder: Optional[List[Tag]] = None, ): """ Describes the operations available on a single path. A Path Item MAY be empty, due to ACL constraints. The path itself is still exposed to the documentation viewer but they will not know which operations and parameters are available. :param dollar_ref: Allows for an external definition of this path item. The referenced structure MUST be in the format of a Path Item Object. If there are conflicts between the referenced definition and this Path Item's definition, the behavior is undefined. :param summary: An optional, string summary, intended to apply to all operations in this path. :param description: An optional, string description, intended to apply to all operations in this path. CommonMark syntax MAY be used for rich text representation. :param get: A definition of a GET operation on this path. :param put: A definition of a PUT operation on this path. :param post: A definition of a POST operation on this path. :param delete: A definition of a DELETE operation on this path. :param options: A definition of an OPTIONS operation on this path. :param head: A definition of a HEAD operation on this path. :param patch: A definition of a PATCH operation on this path. :param trace: A definition of a TRACE operation on this path. :param servers: An alternative server array to service all operations in this path. :param parameters: A list of parameters that are applicable for all the operations described under this path. These parameters can be overridden at the operation level, but cannot be removed there. The list MUST NOT include duplicated parameters. A unique parameter is defined by a combination of a name and location. The list can use the Reference Object to link to parameters that are defined at the OpenAPI Object's components/parameters. :param request_body: sanic-openapi3e implementation extension to allow requestBody to be defined. :param x_deprecated_holder: sanic-openapi3e implementation extension to allow deprecated on the PathItem until they can be passed to the Operation/s. :param x_exclude: sanic-openapi3e extension to completly exclude the path from the spec. :param x_external_docs_holder: sanic-openapi3e implementation extension to allow externalDocs on the PathItem until they can be passed to the Operation/s. :param x_responses_holder: sanic-openapi3e implementation extension to allow Responses on the PathItem until they can be passed to the Operation/s. :param x_security_holder: sanic-openapi3e implementation extension to allow security on the PathItem until they can be passed to the Operation/s. :param x_tags_holder: sanic-openapi3e implementation extension to allow tags on the PathItem until they can be passed to the Operation/s. """ # TODO - validations if x_tags_holder: for x_tag in x_tags_holder: _assert_type(x_tag, (Tag,), "x_tags_holder[*]", self.__class__) # Assignment and docs self.dollar_ref = dollar_ref """ Allows for an external definition of this path item. The referenced structure MUST be in the format of a Path Item Object. If there are conflicts between the referenced definition and this Path Item's definition, the behavior is undefined. """ self.summary = summary """An optional, string summary, intended to apply to all operations in this path.""" self.description = description """ An optional, string description, intended to apply to all operations in this path. CommonMark syntax MAY be used for rich text representation. """ self.get = get """ A definition of a GET operation on this path.""" self.put = put """A definition of a PUT operation on this path.""" self.post = post """A definition of a POST operation on this path.""" self.delete = delete """A definition of a DELETE operation on this path.""" self.options = options """A definition of an OPTIONS operation on this path.""" self.head = head """A definition of a HEAD operation on this path.""" self.patch = patch """A definition of an PATCH operation on this path.""" self.trace = trace """A definition of a TRACE operation on this path.""" self.servers = servers """An alternative server array to service all operations in this path.""" self.parameters: List[Union[Parameter, Reference]] = parameters if parameters is not None else [] """ A list of parameters that are applicable for all the operations described under this path. These parameters can be overridden at the operation level, but cannot be removed there. The list MUST NOT include duplicated parameters. A unique parameter is defined by a combination of a name and location. The list can use the Reference Object to link to parameters that are defined at the OpenAPI Object's components/parameters. """ self.request_body = request_body self.x_tags_holder: List[Tag] = x_tags_holder if x_tags_holder is not None else [] self.x_security_holder = x_security_holder self.x_deprecated_holder = x_deprecated_holder self.x_responses_holder = Responses(x_responses_holder) self.x_external_docs_holder = x_external_docs_holder self.x_exclude = x_exclude def x_operations(self) -> List[Operation]: _ops = [self.get, self.get, self.put, self.post, self.delete, self.options, self.head, self.patch, self.trace] return [_op for _op in _ops if _op] class Paths(OObject): """ Holds the relative endpoints to the individual endpoints and their operations. The path is appended to the URL from the Server Object in order to construct the full URL. The Paths MAY be empty, due to ACL constraints. """ def __init__(self, path_items: Optional[List[Tuple[str, PathItem]]] = None): """ Holds the relative endpoints to the individual endpoints and their operations. The path is appended to the URL from the Server Object in order to construct the full URL. The Paths MAY be empty, due to ACL constraints. :param path_items The endpoints """ self.locked: bool = False self._paths: List[Tuple[str, PathItem]] = [] """ A collection of your `app`'s functions and their Path Item. The field name MUST begin with a slash. The path is appended (no relative URL resolution) to the expanded URL from the Server Object's url field in order to construct the full URL. Path templating is allowed. When matching URLs, concrete (non-templated) endpoints would be matched before their templated counterparts. Templated endpoints with the same hierarchy but different templated names MUST NOT exist as they are identical. In case of ambiguous matching, it's up to the tooling to decide which one to use. """ if path_items: self.locked = True self._paths = path_items def __len__(self): return len(self._paths) def __getitem__(self, item: str) -> PathItem: """ A defaultdict interface if not locked. :param item: What to find. """ for _parsed_uri, path_item in self._paths: if _parsed_uri == item: return path_item if not self.locked: path_item = PathItem() self._paths.append((item, path_item)) return self._paths[-1][1] raise KeyError(item) def __contains__(self, item): return any(_parsed_uri == item for _parsed_uri, _path_item in self._paths) def __iter__(self): yield from self._paths def __setitem__(self, key, value): if not self.locked: for idx, _ in enumerate(self._paths): if self._paths[idx][0] == key: self._paths[idx] = (key, value) break else: raise KeyError(key) else: raise ValueError("locked") class OpenAPIv3(OObject): # pylint: disable=too-many-instance-attributes """The root document object of the OpenAPI document.""" version = "3.0.2" def __init__( # pylint: disable=too-many-arguments self, openapi: str, info: Info, paths: Paths, servers: Optional[List[Server]] = None, components: Optional[Components] = None, security: Optional[List[SecurityRequirement]] = None, tags: Optional[List[Tag]] = None, external_docs: Optional[ExternalDocumentation] = None, ): """ This is the root document object of the OpenAPI document. :param openapi: REQUIRED. This string MUST be the semantic version number of the OpenAPI Specification version that the OpenAPI document uses. The openapi field SHOULD be used by tooling specifications and clients to interpret the OpenAPI document. This is not related to the API info.version string. :param info: REQUIRED. Provides metadata about the API. The metadata MAY be used by tooling as required. :param servers: An array of Server Objects, which provide connectivity information to a target server. If the servers property is not provided, or is an empty array, the default value would be a Server Object with a url value of /. :param paths: REQUIRED. The available endpoints and operations for the API. :param components: An element to hold various schemas for the specification. :param security: A declaration of which security mechanisms can be used across the API. The list of values includes alternative security requirement objects that can be used. Only one of the security requirement objects need to be satisfied to authorize a request. Individual operations can override this definition. :param tags: A list of tags used by the specification with additional metadata. The order of the tags can be used to reflect on their order by the parsing tools. Not all tags that are used by the Operation Object must be declared. The tags that are not declared MAY be organized randomly or based on the tools' logic. Each tag name in the list MUST be unique. :param external_docs: Additional external documentation. """ _assert_type(openapi, (str,), "openapi", self.__class__) _assert_type(info, (Info,), "info", self.__class__) _assert_type(servers, (list,), "servers", self.__class__) _assert_type(paths, (Paths,), "endpoints", self.__class__) _assert_type(components, (Components,), "components", self.__class__) _assert_type(security, (list,), "security", self.__class__) _assert_type(tags, (list,), "tags", self.__class__) _assert_type(external_docs, (ExternalDocumentation,), "external_docs", self.__class__) _assert_required(openapi, "openapi", self.__class__) _assert_required(info, "info", self.__class__) _assert_required(paths, "endpoints", self.__class__) # TODO - other assertions - eg `Servers` if tags: assert len([t.name for t in tags]) == len(tags) self.openapi = openapi """ REQUIRED. This string MUST be the semantic version number of the OpenAPI Specification version that the OpenAPI document uses. The openapi field SHOULD be used by tooling specifications and clients to interpret the OpenAPI document. This is not related to the API info.version string.""" self.info = info """REQUIRED. Provides metadata about the API. The metadata MAY be used by tooling as required.""" assert paths self.paths = paths """REQUIRED. The available endpoints and operations for the API.""" self.servers = servers """ An array of Server Objects, which provide connectivity information to a target server. If the servers property is not provided, or is an empty array, the default value would be a Server Object with a url value of /. """ self.components = components """An element to hold various schemas for the specification.""" self.security = security """ A declaration of which security mechanisms can be used across the API. The list of values includes alternative security requirement objects that can be used. Only one of the security requirement objects need to be satisfied to authorize a request. Individual operations can override this definition. """ if tags: assert sorted({t.name for t in tags}) == sorted(t.name for t in tags) self.tags = tags """ A list of tags used by the specification with additional metadata. The order of the tags can be used to reflect on their order by the parsing tools. Not all tags that are used by the Operation Object must be declared. The tags that are not declared MAY be organized randomly or based on the tools' logic. Each tag name in the list MUST be unique. """ self.external_docs = external_docs """Additional external documentation.""" def as_yamlable_object(self, sort=False, opt_key: Optional[str] = None): # This one is here to allow mypy to accept that the root `yaml`-able object really is always a dict. That # annotation is found near the top of `openapi.py`. return super().as_yamlable_object(sort=False, opt_key=".")

49.910601

122

0.657007

21,401

165,254

4.950143

0.053128

0.015292

0.016708

0.017218

0.798354

0.771395

0.754743

0.739433

0.714493

0.693906

0

0.00284

0.264798

165,254

3,310

123

49.92568

0.869065

0.401896

0

0.382747

0

0.00335

0.078478

0.002027

0

0.006949

0.177554

1

0.085427

false

0.005025

0.007538

0.039363

0.191792

0.000838

0

null

0

1

0

null

0

5