xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

e0b1d99b11745a9c28656509493706af8a72dee9

119

py

Python

DataStructures-Algorithms/Udacity-Python-DSA/03-Recursion/reverse_string.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

1

2020-11-14T18:28:13.000Z

DataStructures-Algorithms/Udacity-Python-DSA/03-Recursion/reverse_string.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

null

DataStructures-Algorithms/Udacity-Python-DSA/03-Recursion/reverse_string.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

null

def reverse_string(string): if len(string) <= 1: return string return string[-1] + reverse_string(string[:-1])

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0.030303

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null

0

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6

e0bfa013f8da25932e2b88dc3dde410810bd188e

3,805

py

Python

models/map.py

PavelVavruska/python-raycaster

e548d8ef46d51d38eaf9363b63c414a916d9b533

[ "MIT" ]

1

2020-03-19T22:59:38.000Z

models/map.py

PavelVavruska/python-raycaster

e548d8ef46d51d38eaf9363b63c414a916d9b533

[ "MIT" ]

null

models/map.py

PavelVavruska/python-raycaster

e548d8ef46d51d38eaf9363b63c414a916d9b533

[ "MIT" ]

null

# Copyright (c) 2019 Pavel Vavruska # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. class Map: def __init__(self): self.__map_base = [ [10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14], [10, -1,000, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, 10, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, 14, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, 11, 11, 11, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, 14, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1, -1, -1, 14], [10, -1, -1, -1, -1, 10, 12, -1, -1, -1, -1, -1, -1, 12, 14, -1, -1,000, -1, 14], [10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14] ] self.__size_y = len(self.__map_base) self.__size_x = len(self.__map_base[0]) self.__map_effects = [[0]*self.__size_y for i in range(self.__size_x)] @property def size_x(self): return self.__size_x @property def size_y(self): return self.__size_y @property def data(self): return self.__map_base def get_at(self, x, y): return self.__map_base[y][x] def set_at(self, x, y, number): self.data[y][x] = number def get_effect_at(self, x, y): return self.__map_effects[y][x] def set_effect_at(self, x, y, number): self.__map_effects[y][x] = number @property def effect_data(self): return self.__map_effects

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6

e0db353b448a31515653bfce4ce884786d0ceb9e

231

py

Python

HLTriggerOffline/Tau/python/Validation/HLTTauValidation_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

HLTriggerOffline/Tau/python/Validation/HLTTauValidation_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

HLTriggerOffline/Tau/python/Validation/HLTTauValidation_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from HLTriggerOffline.Tau.Validation.HLTTauReferences_cfi import * from HLTriggerOffline.Tau.Validation.HLTTauValidation_cfi import * HLTTauVal = cms.Sequence(hltTauRef+hltTauValIdeal)

33

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0.68

0.206186

0.237113

0.340206

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null

0

1

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6

e0e780b61a5d42af1a833e7953916ce3b1676592

40

py

Python

source/__init__.py

elpapi42/simpleid

c6799d9f90f88bd5ed38a9935436d165b0e3518f

[ "MIT" ]

null

source/__init__.py

elpapi42/simpleid

c6799d9f90f88bd5ed38a9935436d165b0e3518f

[ "MIT" ]

null

source/__init__.py

elpapi42/simpleid

c6799d9f90f88bd5ed38a9935436d165b0e3518f

[ "MIT" ]

1

2021-07-11T19:19:43.000Z

from source.simpleidbits import SimpleId

40

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7.2

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40

1

40

0.972973

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null

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1

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1

0

1

0

6

e0ee104973e98e2be5c08f9e2c2fc12870bc03a4

25

py

Python

dlgo/gtp/__init__.py

BachFive/GammaGo_3

3eb8e82eef01718684ba8594be49fdac04503e5e

[ "MIT" ]

null

dlgo/gtp/__init__.py

BachFive/GammaGo_3

3eb8e82eef01718684ba8594be49fdac04503e5e

[ "MIT" ]

null

dlgo/gtp/__init__.py

BachFive/GammaGo_3

3eb8e82eef01718684ba8594be49fdac04503e5e

[ "MIT" ]

1

2020-06-11T21:55:31.000Z

from .frontend import *

8.333333

23

0.72

3

25

6

1

0

0.2

25

2

24

12.5

0.9

0

1

0

true

0

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0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

46160ad811def77d55bb230d2f0a9f36c17e2159

32

py

Python

moncli/entities/__init__.py

Ashatz/moncli

ba82cc163f589635e4c7dbf80a1c9aea0aa1425a

[ "MIT" ]

1

2020-08-17T17:05:03.000Z

moncli/entities/__init__.py

Ashatz/moncli

ba82cc163f589635e4c7dbf80a1c9aea0aa1425a

[ "MIT" ]

null

moncli/entities/__init__.py

Ashatz/moncli

ba82cc163f589635e4c7dbf80a1c9aea0aa1425a

[ "MIT" ]

null

from .client import MondayClient

32

0.875

4

32

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1

0

0.09375

32

1

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true

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1

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null

0

1

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null

0

1

0

1

0

1

0

6

1c9f1cfac0e834ee4f0c23449e537c43cb144769

377

py

Python

Django/Video_Project/Day01/HelloDjango/App/views.py

pyforspider/LearningLog

ac5988d7fbb0d07d6e7485f9050250af5bcba089

[ "MIT" ]

null

Django/Video_Project/Day01/HelloDjango/App/views.py

pyforspider/LearningLog

ac5988d7fbb0d07d6e7485f9050250af5bcba089

[ "MIT" ]

18

2020-02-12T01:18:12.000Z

2022-03-12T00:42:15.000Z

Django/Video_Project/Day01/HelloDjango/App/views.py

pyforspider/LearningLog

ac5988d7fbb0d07d6e7485f9050250af5bcba089

[ "MIT" ]

null

from django.http import HttpResponse from django.shortcuts import render # Create your views here. def hello(request): return HttpResponse('hello') def hehe(request): return HttpResponse('hehe') def haha(request): return HttpResponse('<h1>haha</h1>') def index(request): return render(request, 'index.html') def home(request): return render(request, 'home.html')

16.391304

37

0.742706

50

377

5.6

0.42

0.232143

0.267857

0.185714

0

0.006098

0.129973

377

23

38

16.391304

0.847561

0.061008

0

0.116147

0

1

0.416667

false

0

0.166667

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1

0

null

1

0

null

0

1

0

1

0

6

1cadd35c322ff6512454d00380a444313857015c

63

py

Python

twist/utils/__init__.py

YourLocalDeveloper/Twist

2734ffc9206071570fecbb89d0b6b25364b00330

[ "MIT" ]

5

2020-11-25T19:41:07.000Z

2021-02-17T18:35:38.000Z

twist/utils/__init__.py

YourLocalDeveloper/Twist

2734ffc9206071570fecbb89d0b6b25364b00330

[ "MIT" ]

null

twist/utils/__init__.py

YourLocalDeveloper/Twist

2734ffc9206071570fecbb89d0b6b25364b00330

[ "MIT" ]

null

from .static import * from .tests import * from .wsgi import *

15.75

21

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9

63

5

0.555556

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0

0.190476

63

3

22

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0.882353

0

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true

0

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null

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0

null

0

1

0

1

0

1

0

6

1cc6cd07c25398a41b180c3c1bbf22c9547a5533

33,018

py

Python

api/tests/test_asset_log.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

null

api/tests/test_asset_log.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

null

api/tests/test_asset_log.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

null

# Standard Library from datetime import datetime from unittest.mock import patch # Third-Party Imports from django.contrib.auth import get_user_model from django.core.exceptions import ValidationError from rest_framework.test import APIClient # App Imports from api.tests import APIBaseTestCase from core.constants import CHECKIN, CHECKOUT from core.models import Asset, AssetLog, AssetMake, AssetModelNumber User = get_user_model() client = APIClient() class AssetLogModelTest(APIBaseTestCase): """Tests for the AssetLog Model and API""" def setUp(self): self.test_asset_make = AssetMake.objects.create( name="Test Asset Make", asset_type=self.test_asset_type ) self.test_assetmodel1 = AssetModelNumber.objects.create( name="IMN50987", asset_make=self.test_asset_make ) self.test_other_asset = Asset( asset_code="IC00sf", serial_number="SN00134", model_number=self.test_assetmodel1, purchase_date="2018-07-10", asset_location=self.centre, ) self.test_other_asset.save() self.checkin = AssetLog.objects.create( checked_by=self.security_user, asset=self.asset, log_type=CHECKIN ) self.checkout = AssetLog.objects.create( checked_by=self.security_user, asset=self.asset, log_type=CHECKOUT ) def test_verify_double_checkin_for_asset(self): # First log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) initial_log_count = AssetLog.objects.count() # Second log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) final_log_count = AssetLog.objects.count() self.assertEqual(initial_log_count, final_log_count) def test_verify_checkin_for_asset_once_checked_in(self): # First log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) # Second log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) initial_log_count = AssetLog.objects.count() # Checkin First log again AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) final_log_count = AssetLog.objects.count() self.assertEqual(initial_log_count + 1, final_log_count) def test_add_checkin(self): AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) self.assertEqual(AssetLog.objects.count(), 3) created_log = AssetLog.objects.filter(asset=self.test_other_asset).first() self.assertEqual(created_log.log_type, CHECKIN) def test_verify_double_checkout_for_asset(self): # First log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) initial_log_count = AssetLog.objects.count() # Second log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) final_log_count = AssetLog.objects.count() self.assertEqual(initial_log_count, final_log_count) def test_verify_checkout_for_asset_once_checked_out(self): # First log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) # Second log AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) initial_log_count = AssetLog.objects.count() # Checkout First log again AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) final_log_count = AssetLog.objects.count() self.assertEqual(initial_log_count + 1, final_log_count) def test_add_checkout(self): count_before_log = AssetLog.objects.count() AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) self.assertEqual(AssetLog.objects.count(), count_before_log + 1) def test_add_checkin_without_log_type(self): with self.assertRaises(ValidationError) as e: AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset ) self.assertEqual( e.exception.message_dict, { "log_type": ["This field cannot be blank."], "__all__": ["Log type is required."], }, ) def test_delete_checkin(self): self.assertEqual(AssetLog.objects.count(), 2) self.checkin.delete() self.assertEqual(AssetLog.objects.count(), 1) def test_update_checkin(self): self.checkin.asset = self.test_other_asset self.checkin.save() self.assertEqual( self.checkin.asset.asset_code, self.test_other_asset.asset_code ) def test_update_checkout(self): self.checkout.asset = self.test_other_asset self.checkout.save() self.assertEqual( self.checkout.asset.asset_code, self.test_other_asset.asset_code ) def test_non_authenticated_user_checkin_checkout(self): response = client.get(self.asset_logs_url) self.assertEqual( response.data, {"detail": "Authentication credentials were not provided."} ) def test_checkout_model_string_representation(self): self.assertEqual( str(self.checkin.asset.serial_number), self.asset.serial_number ) @patch("api.authentication.auth.verify_id_token") def test_authenticated_normal_user_list_checkin_checkout( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.user.email} response = client.get( self.asset_logs_url, HTTP_AUTHORIZATION="Token {}".format(self.token_user) ) self.assertEqual( response.data, {"detail": "You do not have permission to perform this action."}, ) self.assertEqual(response.status_code, 403) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_list_checkin_checkout( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} response = client.get( self.asset_logs_url, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertIn(self.checkout.id, response.data["results"][0].values()) self.assertEqual(len(response.data["results"]), AssetLog.objects.count()) self.assertEqual(response.status_code, 200) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_list_checkin_checkout(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.admin_user.email} response = client.get( self.asset_logs_url, HTTP_AUTHORIZATION="Token {}".format(self.token_admin) ) self.assertIn(self.checkout.id, response.data["results"][0].values()) self.assertEqual(len(response.data["results"]), AssetLog.objects.count()) self.assertEqual(response.status_code, 200) # test asset log filters @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_get_filtered_list_of_asset_logs( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = ( f"{self.asset_logs_url}/?asset_type={self.test_asset_type.name}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 1) self.assertEqual( response.data["results"][0]["asset"], f"{self.test_other_asset.serial_number} - {self.test_other_asset.asset_code}", ) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_get_asset_logs_filtered_by_serial_number( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = ( f"{self.asset_logs_url}/?asset_serial={self.test_other_asset.serial_number}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 1) self.assertEqual( response.data["results"][0]["asset"], f"{self.test_other_asset.serial_number} - {self.test_other_asset.asset_code}", ) @patch("api.authentication.auth.verify_id_token") def test_admin_user_get_asset_logs_filtered_by_invalid_serial_number( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}/?asset_serial=SERIALDONTEXIST" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 0) @patch("api.authentication.auth.verify_id_token") def test_admin_user_get_asset_logs_filtered_by_asset_code( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = ( f"{self.asset_logs_url}/?asset_code={self.test_other_asset.asset_code}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 1) self.assertEqual( response.data["results"][0]["asset"], f"{self.test_other_asset.serial_number} - {self.test_other_asset.asset_code}", ) @patch("api.authentication.auth.verify_id_token") def test_admin_user_get_asset_logs_filtered_by_invalid_asset_code( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}/?asset_serial=CODEDONTEXIST" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 0) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_gets_filtered_list_of_asset_logs_by_checked_by( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} asset = AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?checked_by={asset.checked_by}" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual( response.data["results"][0]["checked_by"], f"{self.security_user}" ) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_get_of_asset_logs_invalid_filter( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} self.checkin = AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}/?asset_type=filterdontexit" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data["results"]), 0) @patch( "django.utils.timezone.now", return_value=datetime(2017, 9, 22, 17, 1, 26, 842_150), ) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_year(self, mock_verify_id_token, mock_datetime): mock_verify_id_token.return_value = {"email": self.admin_user.email} asset_log = AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?year={mock_datetime.return_value.year}" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) data = response.data["results"] self.assertEqual(response.status_code, 200) self.assertEqual( data[0]["created_at"].split("-")[0], f"{asset_log.created_at.year}" ) logs_count = AssetLog.objects.filter( created_at__year=mock_datetime.return_value.year ).count() self.assertEqual(len(response.data["results"]), logs_count) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_invalid_year(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?year=5" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) logs_count = AssetLog.objects.filter(created_at__year="5").count() self.assertEqual(len(response.data["results"]), logs_count) @patch( "django.utils.timezone.now", return_value=datetime(2017, 9, 22, 17, 1, 26, 842_150), ) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_month(self, mock_verify_id_token, mock_datetime): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = ( f"{self.asset_logs_url}?month={mock_datetime.return_value.month}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) data = response.data["results"] date = datetime.strptime(data[0]["created_at"], "%Y-%m-%dT%H:%M:%S.%fZ") self.assertEqual(response.status_code, 200) self.assertEqual(date.month, mock_datetime.return_value.month) logs_count = AssetLog.objects.filter( created_at__month=mock_datetime.return_value.month ).count() self.assertEqual(len(response.data["results"]), logs_count) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_invalid_month(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?month=34" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) logs_count = AssetLog.objects.filter(created_at__month="34").count() self.assertEqual(len(response.data["results"]), logs_count) @patch( "django.utils.timezone.now", return_value=datetime(2017, 9, 22, 17, 1, 26, 842_150), ) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_day(self, mock_verify_id_token, mock_datetime): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?day={mock_datetime.return_value.day}" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) data = response.data["results"] date = datetime.strptime(data[0]["created_at"], "%Y-%m-%dT%H:%M:%S.%fZ") self.assertEqual(response.status_code, 200) self.assertEqual(date.day, mock_datetime.return_value.day) logs_count = AssetLog.objects.filter( created_at__day=mock_datetime.return_value.day ).count() self.assertEqual(len(response.data["results"]), logs_count) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_by_invalid_day(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?day=456" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) logs_count = AssetLog.objects.filter(created_at__day="456").count() self.assertEqual(len(response.data["results"]), logs_count) @patch( "django.utils.timezone.now", return_value=datetime(2017, 9, 22, 17, 1, 26, 842_150), ) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_with_collective_attributes( self, mock_verify_id_token, mock_datetime ): """ Test filter asset logs with 3 date attributes i.e year=2019&month=5&day=15 """ mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) year = mock_datetime.return_value.year month = mock_datetime.return_value.month day = mock_datetime.return_value.day asset_logs_url = f"{self.asset_logs_url}?year={year}&month={month}&day={day}" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) data = response.data["results"] date = datetime.strptime(data[0]["created_at"], "%Y-%m-%dT%H:%M:%S.%fZ") self.assertEqual(response.status_code, 200) self.assertEqual(date, mock_datetime.return_value) logs_count = AssetLog.objects.filter( created_at=mock_datetime.return_value ).count() self.assertEqual(len(response.data["results"]), logs_count) @patch("api.authentication.auth.verify_id_token") def test_filter_asset_logs_with_collective_non_matching_attributes( self, mock_verify_id_token ): """ Test filter asset logs with 3 date attributes i.e year=2019&month=5&day=15 """ mock_verify_id_token.return_value = {"email": self.admin_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) asset_logs_url = f"{self.asset_logs_url}?year=2077&month=09&day=22" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) logs_count = AssetLog.objects.filter(created_at="2077-09-22").count() self.assertEqual(len(response.data["results"]), logs_count) @patch("api.authentication.auth.verify_id_token") def test_authenticated_normal_user_create_checkin(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.user.email} response = client.get( self.asset_logs_url, HTTP_AUTHORIZATION="Token {}".format(self.token_user) ) self.assertEqual( response.data, {"detail": "You do not have permission to perform this action."}, ) self.assertEqual(response.status_code, 403) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_create_checkin(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.security_user.email} data = {"asset": self.test_other_asset.id, "log_type": "Checkin"} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual( response.data["asset"], f"{self.test_other_asset.serial_number} - " f"{self.test_other_asset.asset_code}", ) self.assertEqual(response.status_code, 201) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_cannot_double_checkin_an_asset( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) initial_log_count = AssetLog.objects.count() data = {"asset": self.test_other_asset.id, "log_type": CHECKIN} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) updated_log_count = AssetLog.objects.count() self.assertEqual(response.status_code, 400) self.assertEqual(initial_log_count, updated_log_count) @patch("api.authentication.auth.verify_id_token") def test_that_authenticated_security_user_can_checkin_asset_previously_checked_in( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} # Check in the asset AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) # Checkout the asset AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) initial_log_count = AssetLog.objects.count() data = {"asset": self.test_other_asset.id, "log_type": CHECKIN} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) updated_log_count = AssetLog.objects.count() self.assertEqual(response.status_code, 201) self.assertEqual(initial_log_count + 1, updated_log_count) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_can_checkout_asset_previously_checked_out( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} # Check out the asset AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) # Check in the asset AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKIN ) initial_log_count = AssetLog.objects.count() data = {"asset": self.test_other_asset.id, "log_type": CHECKOUT} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) updated_log_count = AssetLog.objects.count() self.assertEqual(response.status_code, 201) self.assertEqual(initial_log_count + 1, updated_log_count) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_create_checkout(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.security_user.email} data = {"asset": self.test_other_asset.id, "log_type": CHECKOUT} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual( response.data["asset"], f"{self.test_other_asset.serial_number} - " f"{self.test_other_asset.asset_code}", ) self.assertEqual(response.status_code, 201) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_cannot_double_checkout_an_asset( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} AssetLog.objects.create( checked_by=self.security_user, asset=self.test_other_asset, log_type=CHECKOUT, ) initial_log_count = AssetLog.objects.count() data = {"asset": self.test_other_asset.id, "log_type": CHECKOUT} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) updated_log_count = AssetLog.objects.count() self.assertEqual(response.status_code, 400) self.assertEqual(initial_log_count, updated_log_count) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_create_with_invalid_log_type( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} log_type = "Invalid" data = {"asset": self.test_other_asset.id, "log_type": log_type} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual( response.data, {"log_type": ['"{}" is not a valid choice.'.format(log_type)]}, ) self.assertEqual(response.status_code, 400) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_create_checkin_without_asset( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} data = {"log_type": "Checkin"} response = client.post( self.asset_logs_url, data, HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertDictEqual(response.data, {"asset": ["This field is required."]}) self.assertEqual(response.status_code, 400) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_view_checkin_detail( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} response = client.get( "{}/{}/".format(self.asset_logs_url, self.checkin.id), HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual(response.data["id"], self.checkin.id) self.assertEqual(response.status_code, 200) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_cannot_delete_checkin( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} response = client.delete( "{}/{}/".format(self.asset_logs_url, self.checkin.id), HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual(response.data, {"detail": 'Method "DELETE" not allowed.'}) self.assertEqual(response.status_code, 405) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_cannot_put_checkin(self, mock_verify_id_token): mock_verify_id_token.return_value = {"email": self.security_user.email} response = client.put( "{}/{}/".format(self.asset_logs_url, self.checkin.id), HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual(response.data, {"detail": 'Method "PUT" not allowed.'}) self.assertEqual(response.status_code, 405) @patch("api.authentication.auth.verify_id_token") def test_authenticated_security_user_cannot_patch_checkin( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.security_user.email} response = client.patch( "{}/{}/".format(self.asset_logs_url, self.checkin.id), HTTP_AUTHORIZATION="Token {}".format(self.token_checked_by), ) self.assertEqual(response.data, {"detail": 'Method "PATCH" not allowed.'}) self.assertEqual(response.status_code, 405) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_gets_filtered_list_of_asset_logs_by_asset_category( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} asset_logs_url = ( f"{self.asset_logs_url}?asset_category={self.asset_category.name}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) asset_log = response.data["results"][0]["asset"] asset_code = asset_log.split("-")[1].strip() asset = Asset.objects.get(asset_code=asset_code) category_name = ( asset.model_number.asset_make.asset_type.asset_sub_category.asset_category.name ) self.assertEqual(category_name, self.asset_category.name) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_gets_filtered_list_of_asset_logs_by_sub_asset_category( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} asset_logs_url = ( f"{self.asset_logs_url}?asset_sub_category={self.asset_sub_category.name}" ) response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) asset_log = response.data["results"][0]["asset"] asset_code = asset_log.split("-")[1].strip() asset = Asset.objects.get(asset_code=asset_code) sub_category_name = ( asset.model_number.asset_make.asset_type.asset_sub_category.name ) self.assertEqual(sub_category_name, self.asset_sub_category.name) @patch("api.authentication.auth.verify_id_token") def test_authenticated_admin_user_gets_filtered_list_of_asset_logs_by_asset_make( self, mock_verify_id_token ): mock_verify_id_token.return_value = {"email": self.admin_user.email} asset_logs_url = f"{self.asset_logs_url}?asset_make={self.asset_make.name}" response = client.get( asset_logs_url, HTTP_AUTHORIZATION=f"Token {self.token_admin}" ) self.assertEqual(response.status_code, 200) asset_log = response.data["results"][0]["asset"] asset_code = asset_log.split("-")[1].strip() asset = Asset.objects.get(asset_code=asset_code) asset_make = asset.model_number.asset_make.name self.assertEqual(asset_make, self.asset_make.name)

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0.051945

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0.064176

0.055948

0.887281

0.872665

0.846094

0.838931

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0.824364

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33,018

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null

0

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null

0

6

1c1b75847fb541a30414ac68c9f93c4c7ab7a43a

54

py

Python

kiwi-engine-selector/kiwi/heuristics/user.py

bubblegumsoldier/kiwi

91701c1806dcfbc1b038fecf7c2cab8bb07a01d4

[ "MIT" ]

null

kiwi-engine-selector/kiwi/heuristics/user.py

bubblegumsoldier/kiwi

91701c1806dcfbc1b038fecf7c2cab8bb07a01d4

[ "MIT" ]

null

kiwi-engine-selector/kiwi/heuristics/user.py

bubblegumsoldier/kiwi

91701c1806dcfbc1b038fecf7c2cab8bb07a01d4

[ "MIT" ]

null

def get_heuristic(**kwargs): return kwargs["user"]

27

28

0.703704

7

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1

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0

1

0

null

0

1

0

1

0

6

1c2f7a621aca507291ac0ddb3de1ae98acabf9a0

4,878

py

Python

tests/integration/states/test_nsxt_manager.py

jain-prerna/salt-ext-modules-vmware-old

89ea6dd77c6d5a35dc55c23adbdc361949a63057

[ "Apache-2.0" ]

1

2021-11-02T20:24:19.000Z

tests/integration/states/test_nsxt_manager.py

cmcmarrow/salt-ext-modules-vmware

c546a9f9ae121b7399dabae82f714117d0ab558d

[ "Apache-2.0" ]

null

tests/integration/states/test_nsxt_manager.py

cmcmarrow/salt-ext-modules-vmware

c546a9f9ae121b7399dabae82f714117d0ab558d

[ "Apache-2.0" ]

1

2021-12-15T02:46:59.000Z

""" Integration Tests for nsxt_manager state module """ import logging import pytest import requests from requests.auth import HTTPBasicAuth log = logging.getLogger(__name__) BASE_URL = "https://{}/api/v1/configs/management" def _get_manager_config_from_nsxt(nsxt_config): hostname = nsxt_config["hostname"] username = nsxt_config["username"] password = nsxt_config["password"] cert = nsxt_config.get("cert", False) return requests.get( url=BASE_URL.format(hostname), auth=HTTPBasicAuth(username, password), verify=cert ).json() def _set_manager_config_to_nsxt(nsxt_config, data): hostname = nsxt_config["hostname"] username = nsxt_config["username"] password = nsxt_config["password"] cert = nsxt_config.get("cert", False) return requests.put( url=BASE_URL.format(hostname), auth=HTTPBasicAuth(username, password), verify=cert, data=data, headers={"content-type": "application/json"}, ).json() @pytest.fixture def publish_fqdns(nsxt_config): # get current config current_manager_config = _get_manager_config_from_nsxt(nsxt_config) publish_fqdns = current_manager_config["publish_fqdns"] log.info("Initial publish_fqdns value %s", publish_fqdns) # yield the current publish_fqdns yield publish_fqdns # get current config for latest revision number after tests ran current_manager_config = _get_manager_config_from_nsxt(nsxt_config) current_manager_config["publish_fqdns"] = publish_fqdns log.info("Final publish_fqdns value %s", publish_fqdns) # restore the config state to original _set_manager_config_to_nsxt(nsxt_config, current_manager_config) def test_nsxt_manager(nsxt_config, salt_call_cli, publish_fqdns): """ Tests NSX-T Manager State module to verify publish_fqdns_enabled/publish_fqdns_disabled when it is enabled/disabled in NSX-T Manager """ if publish_fqdns: changes, comment = _execute_publish_fqdns_enabled(nsxt_config, salt_call_cli) assert not changes assert comment == "publish_fqdns is already set to True" changes, comment = _execute_publish_fqdns_disabled(nsxt_config, salt_call_cli) assert dict(changes)["new"]["publish_fqdns"] is False assert dict(changes)["old"]["publish_fqdns"] is True assert comment == "publish_fqdns has been set to False" changes, comment = _execute_publish_fqdns_disabled(nsxt_config, salt_call_cli) assert not changes assert comment == "publish_fqdns is already set to False" changes, comment = _execute_publish_fqdns_enabled(nsxt_config, salt_call_cli) assert dict(changes)["new"]["publish_fqdns"] is True assert dict(changes)["old"]["publish_fqdns"] is False assert comment == "publish_fqdns has been set to True" else: changes, comment = _execute_publish_fqdns_disabled(nsxt_config, salt_call_cli) assert not changes assert comment == "publish_fqdns is already set to False" changes, comment = _execute_publish_fqdns_enabled(nsxt_config, salt_call_cli) assert dict(changes)["new"]["publish_fqdns"] is True assert dict(changes)["old"]["publish_fqdns"] is False assert comment == "publish_fqdns has been set to True" changes, comment = _execute_publish_fqdns_enabled(nsxt_config, salt_call_cli) assert not changes assert comment == "publish_fqdns is already set to True" changes, comment = _execute_publish_fqdns_disabled(nsxt_config, salt_call_cli) assert dict(changes)["new"]["publish_fqdns"] is False assert dict(changes)["old"]["publish_fqdns"] is True assert comment == "publish_fqdns has been set to False" def _execute_publish_fqdns_enabled(nsxt_config, salt_call_cli): hostname = nsxt_config["hostname"] username = nsxt_config["username"] password = nsxt_config["password"] response = salt_call_cli.run( "state.single", "nsxt_manager.publish_fqdns_enabled", name="publish_fqdns_enabled", hostname=hostname, username=username, password=password, verify_ssl=False, ).json result = dict(list(response.values())[0]) return result.get("changes"), result.get("comment") def _execute_publish_fqdns_disabled(nsxt_config, salt_call_cli): hostname = nsxt_config["hostname"] username = nsxt_config["username"] password = nsxt_config["password"] response = salt_call_cli.run( "state.single", "nsxt_manager.publish_fqdns_disabled", name="publish_fqdns_disabled", hostname=hostname, username=username, password=password, verify_ssl=False, ).json result = dict(list(response.values())[0]) return result.get("changes"), result.get("comment")

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6

1c48a04f443135c1a234bcf0ad9484b86d1bdd54

82

py

Python

src/westpa/westext/adaptvoronoi/__init__.py

burntyellow/adelman_ci

cca251a51b34843faed0275cce01d7a307829993

[ "MIT" ]

140

2015-01-07T23:30:36.000Z

2022-03-28T17:15:30.000Z

src/westext/adaptvoronoi/__init__.py

burntyellow/westpa

9dc62478fcef0001b9c038cd56a40b6be1b9d64a

[ "MIT" ]

157

2015-01-03T03:38:36.000Z

2022-03-31T14:12:16.000Z

src/westext/adaptvoronoi/__init__.py

burntyellow/westpa

9dc62478fcef0001b9c038cd56a40b6be1b9d64a

[ "MIT" ]

56

2015-01-02T21:21:40.000Z

2022-03-03T16:27:54.000Z

from . import adaptVor_driver from .adaptVor_driver import AdaptiveVoronoiDriver

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14,474

py

Python

tests/test_sphinx/test_sphinx_builds.py

daobook/myst-parser

153ef318cd6f2c52abce7844218e95f18a12653b

[ "MIT" ]

null

tests/test_sphinx/test_sphinx_builds.py

daobook/myst-parser

153ef318cd6f2c52abce7844218e95f18a12653b

[ "MIT" ]

null

tests/test_sphinx/test_sphinx_builds.py

daobook/myst-parser

153ef318cd6f2c52abce7844218e95f18a12653b

[ "MIT" ]

null

"""Uses sphinx's pytest fixture to run builds. see conftest.py for fixture usage NOTE: sphinx 3 & 4 regress against different output files, the major difference being sphinx 4 uses docutils 0.17, which uses semantic HTML tags (e.g. converting `<div class="section">` to `<section>`) """ import os import re import pytest import sphinx from docutils import VersionInfo, __version_info__ SOURCE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "sourcedirs")) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "basic"), freshenv=True ) def test_basic( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """basic test.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" get_sphinx_app_doctree( app, docname="content", regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) get_sphinx_app_doctree( app, docname="content", resolve=True, regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) get_sphinx_app_output( app, filename="content.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) assert app.env.metadata["content"] == { "author": "Chris Sewell", "authors": ["Chris Sewell", "Chris Hodgraf"], "organization": "EPFL", "address": "1 Cedar Park Close\nThundersley\nEssex\n", "contact": "https://example.com", "version": "1.0", "revision": "1.1", "status": "good", "date": "2/12/1985", "copyright": "MIT", "other": "Something else", "wordcount": {"minutes": 0, "words": 57}, } @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "references"), freshenv=True, ) def test_references( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test reference resolution.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree(app, docname="index", regress=True) finally: get_sphinx_app_doctree(app, docname="index", resolve=True, regress=True) get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="singlehtml", srcdir=os.path.join(SOURCE_DIR, "references_singlehtml"), freshenv=True, confoverrides={"nitpicky": True}, ) def test_references_singlehtml( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test reference resolution for singlehtml builds.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" # try: # get_sphinx_app_doctree(app, docname="index", regress=True) # finally: # get_sphinx_app_doctree(app, docname="index", resolve=True, regress=True) try: get_sphinx_app_doctree( app, docname="other/other", regress=True, replace={"other\\other.md": "other/other.md"}, ) finally: get_sphinx_app_doctree( app, docname="other/other", resolve=True, regress=True, replace={"other\\other.md": "other/other.md"}, ) get_sphinx_app_output( app, filename="index.html", buildername="singlehtml", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "heading_slug_func"), freshenv=True, ) def test_heading_slug_func( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test heading_slug_func configuration.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree(app, docname="index", regress=True) finally: get_sphinx_app_doctree(app, docname="index", resolve=True, regress=True) get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "extended_syntaxes"), freshenv=True, ) def test_extended_syntaxes( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, monkeypatch, ): """test setting addition configuration values.""" from myst_parser.sphinx_renderer import SphinxRenderer monkeypatch.setattr(SphinxRenderer, "_random_label", lambda self: "mock-uuid") app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree( app, docname="index", regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) finally: get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "includes"), freshenv=True ) def test_includes( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test of include directive.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree( app, docname="index", regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", # fix for Windows CI replace={ r"subfolder\example2.jpg": "subfolder/example2.jpg", r"subfolder\\example2.jpg": "subfolder/example2.jpg", r"subfolder\\\\example2.jpg": "subfolder/example2.jpg", }, ) finally: get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", replace={ r"'subfolder\\example2'": "'subfolder/example2'", r'uri="subfolder\\example2"': 'uri="subfolder/example2"', "_images/example21.jpg": "_images/example2.jpg", }, ) @pytest.mark.skipif( __version_info__ < VersionInfo(0, 17, 0, "final", 0, True), reason="parser option added in docutils 0.17", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "include_from_rst"), freshenv=True, ) def test_include_from_rst( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test of include directive inside RST file.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" get_sphinx_app_doctree( app, docname="index", regress=True, regress_ext=".xml", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "footnotes"), freshenv=True ) def test_footnotes( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test of include directive.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree(app, docname="footnote_md", regress=True) finally: get_sphinx_app_output( app, filename="footnote_md.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "commonmark_only"), freshenv=True, ) def test_commonmark_only( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """test setting addition configuration values.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert "lexer name '{note}'" in warnings try: get_sphinx_app_doctree(app, docname="index", regress=True) finally: get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "substitutions"), freshenv=True, ) def test_substitutions( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, file_regression, ): """test setting addition configuration values.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree(app, docname="index", regress=True) file_regression.check( get_sphinx_app_doctree(app, docname="other").pformat(), extension=".other.xml", ) finally: get_sphinx_app_output(app, filename="index.html", regress_html=True) @pytest.mark.sphinx( buildername="gettext", srcdir=os.path.join(SOURCE_DIR, "gettext"), freshenv=True ) def test_gettext( app, status, warning, get_sphinx_app_output, remove_sphinx_builds, file_regression, ): """Test gettext message extraction.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" output = get_sphinx_app_output(app, filename="index.pot", buildername="gettext") output = re.sub(r"POT-Creation-Date: [0-9: +-]+", "POT-Creation-Date: ", output) output = re.sub(r"Copyright $C$ [0-9]{4}", "Copyright (C) XXXX", output) file_regression.check(output, extension=f".sphinx{sphinx.version_info[0]}.pot") @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "gettext"), freshenv=True, confoverrides={"language": "fr", "gettext_compact": False, "locale_dirs": ["."]}, ) def test_gettext_html( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """Test gettext message extraction.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree( app, docname="index", regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) finally: get_sphinx_app_doctree( app, docname="index", resolve=True, regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", ) @pytest.mark.sphinx( buildername="gettext", srcdir=os.path.join(SOURCE_DIR, "gettext"), freshenv=True, confoverrides={ "gettext_additional_targets": [ "index", "literal-block", "doctest-block", "raw", "image", ], }, ) def test_gettext_additional_targets( app, status, warning, get_sphinx_app_output, remove_sphinx_builds, file_regression, ): """Test gettext message extraction.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" output = get_sphinx_app_output(app, filename="index.pot", buildername="gettext") output = re.sub(r"POT-Creation-Date: [0-9: +-]+", "POT-Creation-Date: ", output) output = re.sub(r"Copyright $C$ [0-9]{4}", "Copyright (C) XXXX", output) file_regression.check(output, extension=f".sphinx{sphinx.version_info[0]}.pot") @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "mathjax"), freshenv=True ) def test_mathjax_warning( app, status, warning, remove_sphinx_builds, ): """Test mathjax config override warning.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert ( "overridden by myst-parser: 'other' -> 'tex2jax_process|mathjax_process|math|output_area'" in warnings ) @pytest.mark.sphinx( buildername="html", srcdir=os.path.join(SOURCE_DIR, "fieldlist"), freshenv=True, ) def test_fieldlist_extension( app, status, warning, get_sphinx_app_doctree, get_sphinx_app_output, remove_sphinx_builds, ): """test setting addition configuration values.""" app.build() assert "build succeeded" in status.getvalue() # Build succeeded warnings = warning.getvalue().strip() assert warnings == "" try: get_sphinx_app_doctree( app, docname="index", regress=True, regress_ext=f".sphinx{sphinx.version_info[0]}.xml", ) finally: get_sphinx_app_output( app, filename="index.html", regress_html=True, regress_ext=f".sphinx{sphinx.version_info[0]}.html", )

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0

1

0

1

0

null

0

6

1c75fc5aca41bac52b915f9a38b00c9f2fceb3fa

7,907

py

Python

xooa_api/blockchain.py

Xooa/xooa-python-sdk

b364a576b324d1dfaaa383586c38586d855ed95f

[ "Apache-2.0" ]

6

2019-07-19T19:45:45.000Z

2021-12-16T13:18:01.000Z

xooa_api/blockchain.py

Xooa/xooa-python-sdk

b364a576b324d1dfaaa383586c38586d855ed95f

[ "Apache-2.0" ]

null

xooa_api/blockchain.py

Xooa/xooa-python-sdk

b364a576b324d1dfaaa383586c38586d855ed95f

[ "Apache-2.0" ]

null

# # Python SDK for Xooa # # Copyright 2018 Xooa # # 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. # # Author: Rahul Kamboj # # coding: utf-8 from __future__ import absolute_import # python 2 and python 3 compatibility library import six import json from .xooa_exceptions import XooaApiException, XooaRequestTimeoutException import requests class BlockchainApi(object): """ Block chain API class to create requests to block chain API.""" def block_data(self, xooa_client, block_number, timeout, **kwargs): """ Call the BlockByNumber api :param xooa_client: Includes Headers and URL to make request :param int block_number: Block number to fetch data (required) :param timeout: :param kwargs: Query Arguments for the api including async and timeout :return: """ logger = xooa_client.xooa_logger try: req_params = xooa_client.req_params logger.info('Calling Block Chain API for Block By Number') params = locals() for key, val in six.iteritems(params['kwargs']): if key == 'asyncKey': params[key] = val del params['kwargs'] # verify the required parameter 'block_number' is set if block_number is None: logger.error("Missing the required parameter `block_number` when calling `block_data`") raise ValueError("Missing the required parameter `block_number` when calling `block_data`") query_params = {} if 'asyncKey' in params: query_params['async'] = params['asyncKey'] else: query_params['async'] = 'false' if timeout is not None: query_params['timeout'] = timeout url_suffix = '/block/' + str(block_number) url = req_params['base_url'] + url_suffix headers = req_params['headers'] logger.info("Sending request to get Block By Number...") response = requests.get(url, params=query_params, headers=headers) response_object = json.loads(response.text) if query_params['async'] == 'true': if response.status_code == 202: return response_object else: raise XooaApiException(response.status_code, response_object) else: if response.status_code == 200: return response_object elif response.status_code == 202: raise XooaRequestTimeoutException(response_object['resultId'], response_object['resultURL']) else: raise XooaApiException(response.status_code, response_object) except XooaApiException: raise except XooaRequestTimeoutException: raise except Exception: raise XooaApiException("0", "Exception in GetBlockByNumber") def block_height(self, xooa_client, timeout, **kwargs): """ Call the CurrentBlock api :param xooa_client: Includes Headers and URL to make request :param timeout: :param kwargs: Query Arguments for the api including async and timeout :return: """ logger = xooa_client.xooa_logger try: req_params = xooa_client.req_params logger.info('Calling Block Chain API for Block Height.') params = locals() for key, val in six.iteritems(params['kwargs']): if key == "asyncKey": params[key] = val del params['kwargs'] query_params = {} if 'asyncKey' in params: query_params['async'] = params['asyncKey'] else: query_params['async'] = 'false' if timeout is not None: query_params['timeout'] = timeout url_suffix = '/block/current' url = req_params['base_url'] + url_suffix headers = req_params['headers'] logger.info("Requesting blockchain height...") response = requests.get(url, params=query_params, headers=headers) response_object = json.loads(response.text) if query_params['async'] == 'true': if response.status_code == 202: return response_object else: raise XooaApiException(response.status_code, response_object) else: if response.status_code == 200: return response_object elif response.status_code == 202: raise XooaRequestTimeoutException(response_object['resultId'], response_object['resultURL']) else: raise XooaApiException(response.status_code, response_object) except XooaApiException: raise except XooaRequestTimeoutException: raise except Exception: raise XooaApiException("0", "Exception in GetBlockHeight") def get_transaction_by_transaction_id(self, xooa_client, transaction_id, timeout, **kwargs): """ Call the Transaction api :param xooa_client: Includes Headers and URL to make request :param transaction_id: Transaction Id to get transaction details :param timeout: :param kwargs: Query Arguments for the api including async and timeout :return: """ logger = xooa_client.xooa_logger try: req_params = xooa_client.req_params logger.info('Calling Block Chain API for Transaction.') params = locals() for key, val in six.iteritems(params['kwargs']): if key == 'asyncKey': params[key] = val del params['kwargs'] query_params = {} if 'asyncKey' in params: query_params['async'] = params['asyncKey'] else: query_params['async'] = 'false' if timeout is not None: query_params['timeout'] = timeout url_suffix = '/transactions/' + str(transaction_id) url = req_params['base_url'] + url_suffix headers = req_params['headers'] logger.info("Requesting Transaction details...") response = requests.get(url, params=query_params, headers=headers) response_object = json.loads(response.text) if query_params['async'] == 'true': if response.status_code == 202: return response_object else: raise XooaApiException(response.status_code, response_object) else: if response.status_code == 200: return response_object elif response.status_code == 202: raise XooaRequestTimeoutException(response_object['resultId'], response_object['resultURL']) else: raise XooaApiException(response.status_code, response_object) except XooaApiException: raise except XooaRequestTimeoutException: raise except Exception: raise XooaApiException("0", "Exception in GetBlockHeight")

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Python

src/opensignals/__init__.py

jconsidi/opensignals

5a3158fc55cd1c50719e6f4c77d47ee1823b4e77

[ "Apache-2.0" ]

25

2021-06-28T14:54:27.000Z

2022-03-22T19:03:00.000Z

src/opensignals/__init__.py

jconsidi/opensignals

5a3158fc55cd1c50719e6f4c77d47ee1823b4e77

[ "Apache-2.0" ]

21

2021-06-30T02:52:18.000Z

2022-01-31T08:23:47.000Z

src/opensignals/__init__.py

jconsidi/opensignals

5a3158fc55cd1c50719e6f4c77d47ee1823b4e77

[ "Apache-2.0" ]

13

2021-06-30T02:52:54.000Z

2022-02-27T17:14:04.000Z

from opensignals.__about__ import __version__

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c71071bb219f90b6b7fa20e7889030cdadcae16c

28,665

py

Python

mks/migrations/0009_add_action_stream.py

daonb/Open-Knesset

a169f03965b36f753968a18c7c8165156c0cebdd

[ "BSD-3-Clause" ]

69

2015-02-03T12:02:56.000Z

2022-02-16T13:08:01.000Z

mks/migrations/0009_add_action_stream.py

OriHoch/Open-Knesset

538bcdc2632d8d17a8ddddbc4567106684b9996b

[ "BSD-3-Clause" ]

446

2015-01-01T11:10:33.000Z

2021-11-01T08:15:39.000Z

mks/migrations/0009_add_action_stream.py

OriHoch/Open-Knesset

538bcdc2632d8d17a8ddddbc4567106684b9996b

[ "BSD-3-Clause" ]

67

2015-01-01T09:13:58.000Z

2021-11-01T07:51:08.000Z

# encoding: utf-8 import datetime from south.db import db from south.v2 import DataMigration from django.db import models class Migration(DataMigration): def _get_FIELD_display(self, field): value = getattr(self, field.attname) return force_unicode(dict(field.flatchoices).get(value, value), strings_only=True) depends_on = ( ('committees', '0001_startapp_committees'), ('laws', '0001_initial'), ) def forwards(self, orm): from actstream import action print 'addding committee actions' for c in orm['committees.CommitteeMeeting'].objects.all(): for m in c.mks_attended.all(): action.send(m, verb='attended', target=c, description='committee meeting', timestamp=c.date) print 'addding posts actions' for f in orm['planet.Feed'].objects.all(): member = orm.Member.objects.get(pk=orm['links.Link'].objects.get(url=f.url).object_pk) for p in f.post_set.all(): action.send(member, verb='posted', target=p, timestamp=p.date_modified or p.date_created) print 'adding votes actions (may take a while)' from laws.enums import VOTE_ACTION_TYPE_CHOICES choice_dict = dict(VOTE_ACTION_TYPE_CHOICES) for instance in orm['laws.VoteAction'].objects.all(): action.send(instance.member, verb='voted', description=unicode(choice_dict[instance.type]), target=instance.vote, timestamp=instance.vote.time) def backwards(self, orm): "Write your backwards methods here." models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'blank': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'committees.committee': { 'Meta': {'object_name': 'Committee'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'members': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'committees'", 'symmetrical': 'False', 'to': "orm['mks.Member']"}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '256'}) }, 'committees.committeemeeting': { 'Meta': {'object_name': 'CommitteeMeeting'}, 'committee': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['committees.Committee']"}), 'date': ('django.db.models.fields.DateField', [], {}), 'date_string': ('django.db.models.fields.CharField', [], {'max_length': '256'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'mks_attended': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'committee_meetings'", 'symmetrical': 'False', 'to': "orm['mks.Member']"}), 'protocol_text': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'topics': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'votes_mentioned': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'committee_meetings'", 'blank': 'True', 'to': "orm['laws.Vote']"}) }, 'contenttypes.contenttype': { 'Meta': {'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'laws.knessetproposal': { 'Meta': {'object_name': 'KnessetProposal'}, 'booklet_number': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'committee': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'bills'", 'null': 'True', 'to': "orm['committees.Committee']"}), 'committee_meetings': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'laws_knessetproposal_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['committees.CommitteeMeeting']"}), 'date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'knesset_id': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'law': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'laws_knessetproposal_related'", 'null': 'True', 'to': "orm['laws.Law']"}), 'originals': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'knesset_proposals'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['laws.PrivateProposal']"}), 'source_url': ('django.db.models.fields.URLField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '1000'}), 'votes': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'laws_knessetproposal_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['laws.Vote']"}) }, 'laws.law': { 'Meta': {'object_name': 'Law'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '1000'}) }, 'laws.membervotingstatistics': { 'Meta': {'object_name': 'MemberVotingStatistics'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'member': ('django.db.models.fields.related.OneToOneField', [], {'related_name': "'voting_statistics'", 'unique': 'True', 'to': "orm['mks.Member']"}) }, 'laws.partyvotingstatistics': { 'Meta': {'object_name': 'PartyVotingStatistics'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'party': ('django.db.models.fields.related.OneToOneField', [], {'related_name': "'voting_statistics'", 'unique': 'True', 'to': "orm['mks.Party']"}) }, 'laws.privateproposal': { 'Meta': {'object_name': 'PrivateProposal'}, 'committee_meetings': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'laws_privateproposal_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['committees.CommitteeMeeting']"}), 'date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'joiners': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'bills_joined'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['mks.Member']"}), 'knesset_id': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'law': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'laws_privateproposal_related'", 'null': 'True', 'to': "orm['laws.Law']"}), 'proposal_id': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'proposers': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'bills'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['mks.Member']"}), 'source_url': ('django.db.models.fields.URLField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '1000'}), 'votes': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'laws_privateproposal_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['laws.Vote']"}) }, 'laws.vote': { 'Meta': {'object_name': 'Vote'}, 'against_party': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'controversy': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'full_text': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'full_text_url': ('django.db.models.fields.URLField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'importance': ('django.db.models.fields.FloatField', [], {}), 'meeting_number': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'src_id': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'src_url': ('django.db.models.fields.URLField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}), 'summary': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'time': ('django.db.models.fields.DateTimeField', [], {}), 'time_string': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '1000'}), 'vote_number': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'votes': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'votes'", 'blank': 'True', 'through': "orm['laws.VoteAction']", 'to': "orm['mks.Member']"}), 'votes_count': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}) }, 'laws.voteaction': { 'Meta': {'object_name': 'VoteAction'}, 'against_coalition': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'against_opposition': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'against_party': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'member': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['mks.Member']"}), 'type': ('django.db.models.fields.CharField', [], {'max_length': '10'}), 'vote': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['laws.Vote']"}) }, 'links.link': { 'Meta': {'object_name': 'Link'}, 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'content_type_set_for_link'", 'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'link_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['links.LinkType']", 'null': 'True', 'blank': 'True'}), 'object_pk': ('django.db.models.fields.TextField', [], {}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'url': ('django.db.models.fields.URLField', [], {'max_length': '200'}) }, 'links.linktype': { 'Meta': {'object_name': 'LinkType'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '200'}) }, 'mks.correlation': { 'Meta': {'object_name': 'Correlation'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'm1': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'m1'", 'to': "orm['mks.Member']"}), 'm2': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'m2'", 'to': "orm['mks.Member']"}), 'normalized_score': ('django.db.models.fields.FloatField', [], {'null': 'True'}), 'not_same_party': ('django.db.models.fields.NullBooleanField', [], {'null': 'True', 'blank': 'True'}), 'score': ('django.db.models.fields.IntegerField', [], {'default': '0'}) }, 'mks.member': { 'Meta': {'object_name': 'Member'}, 'area_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'blog': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['planet.Blog']", 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'current_party': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'members'", 'null': 'True', 'to': "orm['mks.Party']"}), 'date_of_birth': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'date_of_death': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'null': 'True', 'blank': 'True'}), 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'family_status': ('django.db.models.fields.CharField', [], {'max_length': '10', 'null': 'True', 'blank': 'True'}), 'fax': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}), 'gender': ('django.db.models.fields.CharField', [], {'max_length': '1', 'null': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'img_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'blank': 'True'}), 'is_current': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}), 'number_of_children': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'parties': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'all_members'", 'symmetrical': 'False', 'through': "orm['mks.Membership']", 'to': "orm['mks.Party']"}), 'phone': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}), 'place_of_birth': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'place_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']", 'null': 'True'}), 'website': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'year_of_aliyah': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}) }, 'mks.membership': { 'Meta': {'object_name': 'Membership'}, 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'member': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['mks.Member']"}), 'party': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['mks.Party']"}), 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}) }, 'mks.party': { 'Meta': {'object_name': 'Party'}, 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_coalition': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}), 'number_of_members': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'number_of_seats': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}) }, 'mks.weeklypresence': { 'Meta': {'object_name': 'WeeklyPresence'}, 'date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'hours': ('django.db.models.fields.FloatField', [], {'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'member': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['mks.Member']"}) }, 'planet.author': { 'Meta': {'object_name': 'Author'}, 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'null': 'True', 'blank': 'True'}), 'profile_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}) }, 'planet.blog': { 'Meta': {'object_name': 'Blog'}, 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'blank': 'True'}), 'url': ('django.db.models.fields.URLField', [], {'unique': 'True', 'max_length': '200', 'db_index': 'True'}) }, 'planet.enclosure': { 'Meta': {'object_name': 'Enclosure'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'length': ('django.db.models.fields.CharField', [], {'max_length': '20'}), 'link': ('django.db.models.fields.URLField', [], {'max_length': '500', 'db_index': 'True'}), 'mime_type': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}), 'post': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Post']"}) }, 'planet.feed': { 'Meta': {'object_name': 'Feed'}, 'blog': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Blog']", 'null': 'True', 'blank': 'True'}), 'etag': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '50', 'null': 'True', 'blank': 'True'}), 'generator': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Generator']", 'null': 'True', 'blank': 'True'}), 'guid': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'null': 'True', 'blank': 'True'}), 'icon_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'info': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'db_index': 'True', 'blank': 'True'}), 'language': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}), 'last_checked': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'last_modified': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'rights': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'site': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['sites.Site']", 'null': 'True', 'blank': 'True'}), 'subtitle': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'null': 'True', 'blank': 'True'}), 'url': ('django.db.models.fields.URLField', [], {'unique': 'True', 'max_length': '200', 'db_index': 'True'}) }, 'planet.feedlink': { 'Meta': {'object_name': 'FeedLink'}, 'feed': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Feed']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'link': ('django.db.models.fields.URLField', [], {'max_length': '500', 'db_index': 'True'}), 'mime_type': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}), 'rel': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}) }, 'planet.generator': { 'Meta': {'unique_together': "(('name', 'link', 'version'),)", 'object_name': 'Generator'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'link': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'version': ('django.db.models.fields.CharField', [], {'max_length': '5', 'null': 'True', 'blank': 'True'}) }, 'planet.post': { 'Meta': {'unique_together': "(('feed', 'guid'),)", 'object_name': 'Post'}, 'authors': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['planet.Author']", 'through': "orm['planet.PostAuthorData']", 'symmetrical': 'False'}), 'comments_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'content': ('django.db.models.fields.TextField', [], {}), 'date_created': ('django.db.models.fields.DateField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_modified': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'feed': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Feed']"}), 'guid': ('django.db.models.fields.CharField', [], {'max_length': '200', 'db_index': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'db_index': 'True'}) }, 'planet.postauthordata': { 'Meta': {'object_name': 'PostAuthorData'}, 'author': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Author']"}), 'date_created': ('django.db.models.fields.DateField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_contributor': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'post': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Post']"}) }, 'planet.postlink': { 'Meta': {'object_name': 'PostLink'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'link': ('django.db.models.fields.URLField', [], {'max_length': '500', 'db_index': 'True'}), 'mime_type': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}), 'post': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['planet.Post']"}), 'rel': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}) }, 'sites.site': { 'Meta': {'object_name': 'Site', 'db_table': "'django_site'"}, 'domain': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'tagging.tag': { 'Meta': {'object_name': 'Tag'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '50', 'db_index': 'True'}) }, 'tagging.taggeditem': { 'Meta': {'unique_together': "(('tag', 'content_type', 'object_id'),)", 'object_name': 'TaggedItem'}, 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'object_id': ('django.db.models.fields.PositiveIntegerField', [], {'db_index': 'True'}), 'tag': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'items'", 'to': "orm['tagging.Tag']"}) } } complete_apps = ['planet', 'committees', 'laws', 'links', 'mks']

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c791e66766588159e27d9948cc9cb108cb9edf98

144

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Python

world_capitals_bot/data_models/user_profile.py

gcatanese/worldCapitalsChatbot

09c9d32d9ce6da3bba84cdd24f24539e0b215611

[ "Apache-2.0" ]

null

world_capitals_bot/data_models/user_profile.py

gcatanese/worldCapitalsChatbot

09c9d32d9ce6da3bba84cdd24f24539e0b215611

[ "Apache-2.0" ]

null

world_capitals_bot/data_models/user_profile.py

gcatanese/worldCapitalsChatbot

09c9d32d9ce6da3bba84cdd24f24539e0b215611

[ "Apache-2.0" ]

null

class UserProfile: def __init__(self, name: str = None): self.name = name def __str__(self): return f"name:{self.name}"

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c7cfa30b84e6da4b9c34b221ad846f4f15a039d6

198,121

py

Python

cottonformation/res/glue.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

cottonformation/res/glue.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

cottonformation/res/glue.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class MLTransformFindMatchesParameters(Property): """ AWS Object Type = "AWS::Glue::MLTransform.FindMatchesParameters" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html Property Document: - ``rp_PrimaryKeyColumnName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-primarykeycolumnname - ``p_AccuracyCostTradeoff``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-accuracycosttradeoff - ``p_EnforceProvidedLabels``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-enforceprovidedlabels - ``p_PrecisionRecallTradeoff``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-precisionrecalltradeoff """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.FindMatchesParameters" rp_PrimaryKeyColumnName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "PrimaryKeyColumnName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-primarykeycolumnname""" p_AccuracyCostTradeoff: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "AccuracyCostTradeoff"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-accuracycosttradeoff""" p_EnforceProvidedLabels: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "EnforceProvidedLabels"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-enforceprovidedlabels""" p_PrecisionRecallTradeoff: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "PrecisionRecallTradeoff"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters-precisionrecalltradeoff""" @attr.s class JobJobCommand(Property): """ AWS Object Type = "AWS::Glue::Job.JobCommand" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-name - ``p_PythonVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-pythonversion - ``p_ScriptLocation``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-scriptlocation """ AWS_OBJECT_TYPE = "AWS::Glue::Job.JobCommand" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-name""" p_PythonVersion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "PythonVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-pythonversion""" p_ScriptLocation: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ScriptLocation"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-jobcommand.html#cfn-glue-job-jobcommand-scriptlocation""" @attr.s class CrawlerCatalogTarget(Property): """ AWS Object Type = "AWS::Glue::Crawler.CatalogTarget" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-catalogtarget.html Property Document: - ``p_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-catalogtarget.html#cfn-glue-crawler-catalogtarget-databasename - ``p_Tables``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-catalogtarget.html#cfn-glue-crawler-catalogtarget-tables """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.CatalogTarget" p_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-catalogtarget.html#cfn-glue-crawler-catalogtarget-databasename""" p_Tables: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tables"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-catalogtarget.html#cfn-glue-crawler-catalogtarget-tables""" @attr.s class ConnectionPhysicalConnectionRequirements(Property): """ AWS Object Type = "AWS::Glue::Connection.PhysicalConnectionRequirements" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html Property Document: - ``p_AvailabilityZone``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-availabilityzone - ``p_SecurityGroupIdList``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-securitygroupidlist - ``p_SubnetId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-subnetid """ AWS_OBJECT_TYPE = "AWS::Glue::Connection.PhysicalConnectionRequirements" p_AvailabilityZone: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "AvailabilityZone"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-availabilityzone""" p_SecurityGroupIdList: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SecurityGroupIdList"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-securitygroupidlist""" p_SubnetId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SubnetId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-physicalconnectionrequirements.html#cfn-glue-connection-physicalconnectionrequirements-subnetid""" @attr.s class SchemaVersionSchema(Property): """ AWS Object Type = "AWS::Glue::SchemaVersion.Schema" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html Property Document: - ``p_RegistryName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-registryname - ``p_SchemaArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-schemaarn - ``p_SchemaName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-schemaname """ AWS_OBJECT_TYPE = "AWS::Glue::SchemaVersion.Schema" p_RegistryName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RegistryName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-registryname""" p_SchemaArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-schemaarn""" p_SchemaName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schemaversion-schema.html#cfn-glue-schemaversion-schema-schemaname""" @attr.s class SchemaSchemaVersion(Property): """ AWS Object Type = "AWS::Glue::Schema.SchemaVersion" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-schemaversion.html Property Document: - ``p_IsLatest``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-schemaversion.html#cfn-glue-schema-schemaversion-islatest - ``p_VersionNumber``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-schemaversion.html#cfn-glue-schema-schemaversion-versionnumber """ AWS_OBJECT_TYPE = "AWS::Glue::Schema.SchemaVersion" p_IsLatest: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "IsLatest"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-schemaversion.html#cfn-glue-schema-schemaversion-islatest""" p_VersionNumber: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "VersionNumber"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-schemaversion.html#cfn-glue-schema-schemaversion-versionnumber""" @attr.s class CrawlerSchedule(Property): """ AWS Object Type = "AWS::Glue::Crawler.Schedule" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schedule.html Property Document: - ``p_ScheduleExpression``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schedule.html#cfn-glue-crawler-schedule-scheduleexpression """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.Schedule" p_ScheduleExpression: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ScheduleExpression"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schedule.html#cfn-glue-crawler-schedule-scheduleexpression""" @attr.s class TriggerCondition(Property): """ AWS Object Type = "AWS::Glue::Trigger.Condition" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html Property Document: - ``p_CrawlState``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-crawlstate - ``p_CrawlerName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-crawlername - ``p_JobName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-jobname - ``p_LogicalOperator``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-logicaloperator - ``p_State``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-state """ AWS_OBJECT_TYPE = "AWS::Glue::Trigger.Condition" p_CrawlState: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CrawlState"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-crawlstate""" p_CrawlerName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CrawlerName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-crawlername""" p_JobName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-jobname""" p_LogicalOperator: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LogicalOperator"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-logicaloperator""" p_State: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "State"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-condition.html#cfn-glue-trigger-condition-state""" @attr.s class DatabaseDatabaseIdentifier(Property): """ AWS Object Type = "AWS::Glue::Database.DatabaseIdentifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseidentifier.html Property Document: - ``p_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseidentifier.html#cfn-glue-database-databaseidentifier-catalogid - ``p_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseidentifier.html#cfn-glue-database-databaseidentifier-databasename """ AWS_OBJECT_TYPE = "AWS::Glue::Database.DatabaseIdentifier" p_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseidentifier.html#cfn-glue-database-databaseidentifier-catalogid""" p_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseidentifier.html#cfn-glue-database-databaseidentifier-databasename""" @attr.s class TableColumn(Property): """ AWS Object Type = "AWS::Glue::Table.Column" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html Property Document: - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-name - ``p_Comment``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-comment - ``p_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-type """ AWS_OBJECT_TYPE = "AWS::Glue::Table.Column" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-name""" p_Comment: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Comment"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-comment""" p_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html#cfn-glue-table-column-type""" @attr.s class DataCatalogEncryptionSettingsEncryptionAtRest(Property): """ AWS Object Type = "AWS::Glue::DataCatalogEncryptionSettings.EncryptionAtRest" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-encryptionatrest.html Property Document: - ``p_CatalogEncryptionMode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-encryptionatrest.html#cfn-glue-datacatalogencryptionsettings-encryptionatrest-catalogencryptionmode - ``p_SseAwsKmsKeyId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-encryptionatrest.html#cfn-glue-datacatalogencryptionsettings-encryptionatrest-sseawskmskeyid """ AWS_OBJECT_TYPE = "AWS::Glue::DataCatalogEncryptionSettings.EncryptionAtRest" p_CatalogEncryptionMode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CatalogEncryptionMode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-encryptionatrest.html#cfn-glue-datacatalogencryptionsettings-encryptionatrest-catalogencryptionmode""" p_SseAwsKmsKeyId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SseAwsKmsKeyId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-encryptionatrest.html#cfn-glue-datacatalogencryptionsettings-encryptionatrest-sseawskmskeyid""" @attr.s class CrawlerSchemaChangePolicy(Property): """ AWS Object Type = "AWS::Glue::Crawler.SchemaChangePolicy" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schemachangepolicy.html Property Document: - ``p_DeleteBehavior``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schemachangepolicy.html#cfn-glue-crawler-schemachangepolicy-deletebehavior - ``p_UpdateBehavior``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schemachangepolicy.html#cfn-glue-crawler-schemachangepolicy-updatebehavior """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.SchemaChangePolicy" p_DeleteBehavior: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeleteBehavior"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schemachangepolicy.html#cfn-glue-crawler-schemachangepolicy-deletebehavior""" p_UpdateBehavior: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "UpdateBehavior"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-schemachangepolicy.html#cfn-glue-crawler-schemachangepolicy-updatebehavior""" @attr.s class MLTransformMLUserDataEncryption(Property): """ AWS Object Type = "AWS::Glue::MLTransform.MLUserDataEncryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption-mluserdataencryption.html Property Document: - ``rp_MLUserDataEncryptionMode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption-mluserdataencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption-mluserdataencryptionmode - ``p_KmsKeyId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption-mluserdataencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption-kmskeyid """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.MLUserDataEncryption" rp_MLUserDataEncryptionMode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "MLUserDataEncryptionMode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption-mluserdataencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption-mluserdataencryptionmode""" p_KmsKeyId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "KmsKeyId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption-mluserdataencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption-kmskeyid""" @attr.s class ClassifierCsvClassifier(Property): """ AWS Object Type = "AWS::Glue::Classifier.CsvClassifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html Property Document: - ``p_AllowSingleColumn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-allowsinglecolumn - ``p_ContainsHeader``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-containsheader - ``p_Delimiter``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-delimiter - ``p_DisableValueTrimming``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-disablevaluetrimming - ``p_Header``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-header - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-name - ``p_QuoteSymbol``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-quotesymbol """ AWS_OBJECT_TYPE = "AWS::Glue::Classifier.CsvClassifier" p_AllowSingleColumn: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "AllowSingleColumn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-allowsinglecolumn""" p_ContainsHeader: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ContainsHeader"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-containsheader""" p_Delimiter: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Delimiter"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-delimiter""" p_DisableValueTrimming: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "DisableValueTrimming"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-disablevaluetrimming""" p_Header: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Header"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-header""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-name""" p_QuoteSymbol: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "QuoteSymbol"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-csvclassifier.html#cfn-glue-classifier-csvclassifier-quotesymbol""" @attr.s class PartitionOrder(Property): """ AWS Object Type = "AWS::Glue::Partition.Order" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-order.html Property Document: - ``rp_Column``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-order.html#cfn-glue-partition-order-column - ``p_SortOrder``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-order.html#cfn-glue-partition-order-sortorder """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.Order" rp_Column: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Column"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-order.html#cfn-glue-partition-order-column""" p_SortOrder: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "SortOrder"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-order.html#cfn-glue-partition-order-sortorder""" @attr.s class ClassifierGrokClassifier(Property): """ AWS Object Type = "AWS::Glue::Classifier.GrokClassifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html Property Document: - ``rp_Classification``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-classification - ``rp_GrokPattern``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-grokpattern - ``p_CustomPatterns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-custompatterns - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-name """ AWS_OBJECT_TYPE = "AWS::Glue::Classifier.GrokClassifier" rp_Classification: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Classification"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-classification""" rp_GrokPattern: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "GrokPattern"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-grokpattern""" p_CustomPatterns: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CustomPatterns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-custompatterns""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-grokclassifier.html#cfn-glue-classifier-grokclassifier-name""" @attr.s class SchemaRegistry(Property): """ AWS Object Type = "AWS::Glue::Schema.Registry" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-registry.html Property Document: - ``p_Arn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-registry.html#cfn-glue-schema-registry-arn - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-registry.html#cfn-glue-schema-registry-name """ AWS_OBJECT_TYPE = "AWS::Glue::Schema.Registry" p_Arn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Arn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-registry.html#cfn-glue-schema-registry-arn""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-schema-registry.html#cfn-glue-schema-registry-name""" @attr.s class SecurityConfigurationJobBookmarksEncryption(Property): """ AWS Object Type = "AWS::Glue::SecurityConfiguration.JobBookmarksEncryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-jobbookmarksencryption.html Property Document: - ``p_JobBookmarksEncryptionMode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-jobbookmarksencryption.html#cfn-glue-securityconfiguration-jobbookmarksencryption-jobbookmarksencryptionmode - ``p_KmsKeyArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-jobbookmarksencryption.html#cfn-glue-securityconfiguration-jobbookmarksencryption-kmskeyarn """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration.JobBookmarksEncryption" p_JobBookmarksEncryptionMode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobBookmarksEncryptionMode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-jobbookmarksencryption.html#cfn-glue-securityconfiguration-jobbookmarksencryption-jobbookmarksencryptionmode""" p_KmsKeyArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "KmsKeyArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-jobbookmarksencryption.html#cfn-glue-securityconfiguration-jobbookmarksencryption-kmskeyarn""" @attr.s class TableSerdeInfo(Property): """ AWS Object Type = "AWS::Glue::Table.SerdeInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-name - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-parameters - ``p_SerializationLibrary``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-serializationlibrary """ AWS_OBJECT_TYPE = "AWS::Glue::Table.SerdeInfo" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-name""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-parameters""" p_SerializationLibrary: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SerializationLibrary"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-serdeinfo.html#cfn-glue-table-serdeinfo-serializationlibrary""" @attr.s class ClassifierJsonClassifier(Property): """ AWS Object Type = "AWS::Glue::Classifier.JsonClassifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-jsonclassifier.html Property Document: - ``rp_JsonPath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-jsonclassifier.html#cfn-glue-classifier-jsonclassifier-jsonpath - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-jsonclassifier.html#cfn-glue-classifier-jsonclassifier-name """ AWS_OBJECT_TYPE = "AWS::Glue::Classifier.JsonClassifier" rp_JsonPath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "JsonPath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-jsonclassifier.html#cfn-glue-classifier-jsonclassifier-jsonpath""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-jsonclassifier.html#cfn-glue-classifier-jsonclassifier-name""" @attr.s class SecurityConfigurationS3Encryptions(Property): """ AWS Object Type = "AWS::Glue::SecurityConfiguration.S3Encryptions" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryptions.html Property Document: """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration.S3Encryptions" @attr.s class DataCatalogEncryptionSettingsConnectionPasswordEncryption(Property): """ AWS Object Type = "AWS::Glue::DataCatalogEncryptionSettings.ConnectionPasswordEncryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-connectionpasswordencryption.html Property Document: - ``p_KmsKeyId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-connectionpasswordencryption.html#cfn-glue-datacatalogencryptionsettings-connectionpasswordencryption-kmskeyid - ``p_ReturnConnectionPasswordEncrypted``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-connectionpasswordencryption.html#cfn-glue-datacatalogencryptionsettings-connectionpasswordencryption-returnconnectionpasswordencrypted """ AWS_OBJECT_TYPE = "AWS::Glue::DataCatalogEncryptionSettings.ConnectionPasswordEncryption" p_KmsKeyId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "KmsKeyId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-connectionpasswordencryption.html#cfn-glue-datacatalogencryptionsettings-connectionpasswordencryption-kmskeyid""" p_ReturnConnectionPasswordEncrypted: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "ReturnConnectionPasswordEncrypted"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-connectionpasswordencryption.html#cfn-glue-datacatalogencryptionsettings-connectionpasswordencryption-returnconnectionpasswordencrypted""" @attr.s class MLTransformGlueTables(Property): """ AWS Object Type = "AWS::Glue::MLTransform.GlueTables" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html Property Document: - ``rp_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-databasename - ``rp_TableName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-tablename - ``p_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-catalogid - ``p_ConnectionName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-connectionname """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.GlueTables" rp_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-databasename""" rp_TableName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TableName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-tablename""" p_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-catalogid""" p_ConnectionName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ConnectionName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables-gluetables.html#cfn-glue-mltransform-inputrecordtables-gluetables-connectionname""" @attr.s class PartitionSerdeInfo(Property): """ AWS Object Type = "AWS::Glue::Partition.SerdeInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-name - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-parameters - ``p_SerializationLibrary``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-serializationlibrary """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.SerdeInfo" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-name""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-parameters""" p_SerializationLibrary: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SerializationLibrary"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-serdeinfo.html#cfn-glue-partition-serdeinfo-serializationlibrary""" @attr.s class SecurityConfigurationS3Encryption(Property): """ AWS Object Type = "AWS::Glue::SecurityConfiguration.S3Encryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryption.html Property Document: - ``p_KmsKeyArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryption.html#cfn-glue-securityconfiguration-s3encryption-kmskeyarn - ``p_S3EncryptionMode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryption.html#cfn-glue-securityconfiguration-s3encryption-s3encryptionmode """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration.S3Encryption" p_KmsKeyArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "KmsKeyArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryption.html#cfn-glue-securityconfiguration-s3encryption-kmskeyarn""" p_S3EncryptionMode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "S3EncryptionMode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-s3encryption.html#cfn-glue-securityconfiguration-s3encryption-s3encryptionmode""" @attr.s class MLTransformTransformEncryption(Property): """ AWS Object Type = "AWS::Glue::MLTransform.TransformEncryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption.html Property Document: - ``p_MLUserDataEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption - ``p_TaskRunSecurityConfigurationName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption.html#cfn-glue-mltransform-transformencryption-taskrunsecurityconfigurationname """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.TransformEncryption" p_MLUserDataEncryption: typing.Union['MLTransformMLUserDataEncryption', dict] = attr.ib( default=None, converter=MLTransformMLUserDataEncryption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(MLTransformMLUserDataEncryption)), metadata={AttrMeta.PROPERTY_NAME: "MLUserDataEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption.html#cfn-glue-mltransform-transformencryption-mluserdataencryption""" p_TaskRunSecurityConfigurationName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TaskRunSecurityConfigurationName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformencryption.html#cfn-glue-mltransform-transformencryption-taskrunsecurityconfigurationname""" @attr.s class JobConnectionsList(Property): """ AWS Object Type = "AWS::Glue::Job.ConnectionsList" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-connectionslist.html Property Document: - ``p_Connections``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-connectionslist.html#cfn-glue-job-connectionslist-connections """ AWS_OBJECT_TYPE = "AWS::Glue::Job.ConnectionsList" p_Connections: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Connections"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-connectionslist.html#cfn-glue-job-connectionslist-connections""" @attr.s class SecurityConfigurationCloudWatchEncryption(Property): """ AWS Object Type = "AWS::Glue::SecurityConfiguration.CloudWatchEncryption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-cloudwatchencryption.html Property Document: - ``p_CloudWatchEncryptionMode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-cloudwatchencryption.html#cfn-glue-securityconfiguration-cloudwatchencryption-cloudwatchencryptionmode - ``p_KmsKeyArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-cloudwatchencryption.html#cfn-glue-securityconfiguration-cloudwatchencryption-kmskeyarn """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration.CloudWatchEncryption" p_CloudWatchEncryptionMode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CloudWatchEncryptionMode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-cloudwatchencryption.html#cfn-glue-securityconfiguration-cloudwatchencryption-cloudwatchencryptionmode""" p_KmsKeyArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "KmsKeyArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-cloudwatchencryption.html#cfn-glue-securityconfiguration-cloudwatchencryption-kmskeyarn""" @attr.s class CrawlerJdbcTarget(Property): """ AWS Object Type = "AWS::Glue::Crawler.JdbcTarget" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html Property Document: - ``p_ConnectionName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-connectionname - ``p_Exclusions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-exclusions - ``p_Path``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-path """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.JdbcTarget" p_ConnectionName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ConnectionName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-connectionname""" p_Exclusions: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Exclusions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-exclusions""" p_Path: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Path"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-jdbctarget.html#cfn-glue-crawler-jdbctarget-path""" @attr.s class TableSchemaId(Property): """ AWS Object Type = "AWS::Glue::Table.SchemaId" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html Property Document: - ``p_RegistryName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-registryname - ``p_SchemaArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-schemaarn - ``p_SchemaName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-schemaname """ AWS_OBJECT_TYPE = "AWS::Glue::Table.SchemaId" p_RegistryName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RegistryName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-registryname""" p_SchemaArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-schemaarn""" p_SchemaName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemaid.html#cfn-glue-table-schemaid-schemaname""" @attr.s class TriggerPredicate(Property): """ AWS Object Type = "AWS::Glue::Trigger.Predicate" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-predicate.html Property Document: - ``p_Conditions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-predicate.html#cfn-glue-trigger-predicate-conditions - ``p_Logical``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-predicate.html#cfn-glue-trigger-predicate-logical """ AWS_OBJECT_TYPE = "AWS::Glue::Trigger.Predicate" p_Conditions: typing.List[typing.Union['TriggerCondition', dict]] = attr.ib( default=None, converter=TriggerCondition.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TriggerCondition), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Conditions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-predicate.html#cfn-glue-trigger-predicate-conditions""" p_Logical: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Logical"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-predicate.html#cfn-glue-trigger-predicate-logical""" @attr.s class TableOrder(Property): """ AWS Object Type = "AWS::Glue::Table.Order" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html Property Document: - ``rp_Column``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html#cfn-glue-table-order-column - ``rp_SortOrder``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html#cfn-glue-table-order-sortorder """ AWS_OBJECT_TYPE = "AWS::Glue::Table.Order" rp_Column: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Column"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html#cfn-glue-table-order-column""" rp_SortOrder: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "SortOrder"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html#cfn-glue-table-order-sortorder""" @attr.s class PartitionColumn(Property): """ AWS Object Type = "AWS::Glue::Partition.Column" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html Property Document: - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-name - ``p_Comment``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-comment - ``p_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-type """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.Column" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-name""" p_Comment: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Comment"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-comment""" p_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-column.html#cfn-glue-partition-column-type""" @attr.s class CrawlerDynamoDBTarget(Property): """ AWS Object Type = "AWS::Glue::Crawler.DynamoDBTarget" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-dynamodbtarget.html Property Document: - ``p_Path``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-dynamodbtarget.html#cfn-glue-crawler-dynamodbtarget-path """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.DynamoDBTarget" p_Path: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Path"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-dynamodbtarget.html#cfn-glue-crawler-dynamodbtarget-path""" @attr.s class TableSkewedInfo(Property): """ AWS Object Type = "AWS::Glue::Table.SkewedInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html Property Document: - ``p_SkewedColumnNames``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnnames - ``p_SkewedColumnValueLocationMaps``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnvaluelocationmaps - ``p_SkewedColumnValues``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnvalues """ AWS_OBJECT_TYPE = "AWS::Glue::Table.SkewedInfo" p_SkewedColumnNames: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnNames"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnnames""" p_SkewedColumnValueLocationMaps: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnValueLocationMaps"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnvaluelocationmaps""" p_SkewedColumnValues: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnValues"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-skewedinfo.html#cfn-glue-table-skewedinfo-skewedcolumnvalues""" @attr.s class TriggerNotificationProperty(Property): """ AWS Object Type = "AWS::Glue::Trigger.NotificationProperty" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-notificationproperty.html Property Document: - ``p_NotifyDelayAfter``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-notificationproperty.html#cfn-glue-trigger-notificationproperty-notifydelayafter """ AWS_OBJECT_TYPE = "AWS::Glue::Trigger.NotificationProperty" p_NotifyDelayAfter: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NotifyDelayAfter"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-notificationproperty.html#cfn-glue-trigger-notificationproperty-notifydelayafter""" @attr.s class ClassifierXMLClassifier(Property): """ AWS Object Type = "AWS::Glue::Classifier.XMLClassifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html Property Document: - ``rp_Classification``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-classification - ``rp_RowTag``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-rowtag - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-name """ AWS_OBJECT_TYPE = "AWS::Glue::Classifier.XMLClassifier" rp_Classification: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Classification"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-classification""" rp_RowTag: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "RowTag"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-rowtag""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-classifier-xmlclassifier.html#cfn-glue-classifier-xmlclassifier-name""" @attr.s class MLTransformTransformParameters(Property): """ AWS Object Type = "AWS::Glue::MLTransform.TransformParameters" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters.html Property Document: - ``rp_TransformType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters.html#cfn-glue-mltransform-transformparameters-transformtype - ``p_FindMatchesParameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.TransformParameters" rp_TransformType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TransformType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters.html#cfn-glue-mltransform-transformparameters-transformtype""" p_FindMatchesParameters: typing.Union['MLTransformFindMatchesParameters', dict] = attr.ib( default=None, converter=MLTransformFindMatchesParameters.from_dict, validator=attr.validators.optional(attr.validators.instance_of(MLTransformFindMatchesParameters)), metadata={AttrMeta.PROPERTY_NAME: "FindMatchesParameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters.html#cfn-glue-mltransform-transformparameters-findmatchesparameters""" @attr.s class PartitionSkewedInfo(Property): """ AWS Object Type = "AWS::Glue::Partition.SkewedInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html Property Document: - ``p_SkewedColumnNames``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnnames - ``p_SkewedColumnValueLocationMaps``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnvaluelocationmaps - ``p_SkewedColumnValues``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnvalues """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.SkewedInfo" p_SkewedColumnNames: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnNames"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnnames""" p_SkewedColumnValueLocationMaps: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnValueLocationMaps"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnvaluelocationmaps""" p_SkewedColumnValues: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SkewedColumnValues"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-skewedinfo.html#cfn-glue-partition-skewedinfo-skewedcolumnvalues""" @attr.s class CrawlerS3Target(Property): """ AWS Object Type = "AWS::Glue::Crawler.S3Target" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html Property Document: - ``p_ConnectionName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-connectionname - ``p_Exclusions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-exclusions - ``p_Path``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-path """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.S3Target" p_ConnectionName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ConnectionName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-connectionname""" p_Exclusions: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Exclusions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-exclusions""" p_Path: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Path"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-s3target.html#cfn-glue-crawler-s3target-path""" @attr.s class PartitionSchemaId(Property): """ AWS Object Type = "AWS::Glue::Partition.SchemaId" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html Property Document: - ``p_RegistryName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-registryname - ``p_SchemaArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-schemaarn - ``p_SchemaName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-schemaname """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.SchemaId" p_RegistryName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RegistryName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-registryname""" p_SchemaArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-schemaarn""" p_SchemaName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchemaName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemaid.html#cfn-glue-partition-schemaid-schemaname""" @attr.s class JobNotificationProperty(Property): """ AWS Object Type = "AWS::Glue::Job.NotificationProperty" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-notificationproperty.html Property Document: - ``p_NotifyDelayAfter``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-notificationproperty.html#cfn-glue-job-notificationproperty-notifydelayafter """ AWS_OBJECT_TYPE = "AWS::Glue::Job.NotificationProperty" p_NotifyDelayAfter: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NotifyDelayAfter"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-notificationproperty.html#cfn-glue-job-notificationproperty-notifydelayafter""" @attr.s class JobExecutionProperty(Property): """ AWS Object Type = "AWS::Glue::Job.ExecutionProperty" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-executionproperty.html Property Document: - ``p_MaxConcurrentRuns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-executionproperty.html#cfn-glue-job-executionproperty-maxconcurrentruns """ AWS_OBJECT_TYPE = "AWS::Glue::Job.ExecutionProperty" p_MaxConcurrentRuns: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "MaxConcurrentRuns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-job-executionproperty.html#cfn-glue-job-executionproperty-maxconcurrentruns""" @attr.s class TableSchemaReference(Property): """ AWS Object Type = "AWS::Glue::Table.SchemaReference" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html Property Document: - ``p_SchameVersionId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schameversionid - ``p_SchemaId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schemaid - ``p_SchemaVersionNumber``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schemaversionnumber """ AWS_OBJECT_TYPE = "AWS::Glue::Table.SchemaReference" p_SchameVersionId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchameVersionId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schameversionid""" p_SchemaId: typing.Union['TableSchemaId', dict] = attr.ib( default=None, converter=TableSchemaId.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableSchemaId)), metadata={AttrMeta.PROPERTY_NAME: "SchemaId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schemaid""" p_SchemaVersionNumber: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "SchemaVersionNumber"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-schemareference.html#cfn-glue-table-schemareference-schemaversionnumber""" @attr.s class TableTableIdentifier(Property): """ AWS Object Type = "AWS::Glue::Table.TableIdentifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html Property Document: - ``p_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-catalogid - ``p_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-databasename - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-name """ AWS_OBJECT_TYPE = "AWS::Glue::Table.TableIdentifier" p_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-catalogid""" p_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-databasename""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableidentifier.html#cfn-glue-table-tableidentifier-name""" @attr.s class DatabaseDatabaseInput(Property): """ AWS Object Type = "AWS::Glue::Database.DatabaseInput" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html Property Document: - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-description - ``p_LocationUri``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-locationuri - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-name - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-parameters - ``p_TargetDatabase``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-targetdatabase """ AWS_OBJECT_TYPE = "AWS::Glue::Database.DatabaseInput" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-description""" p_LocationUri: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LocationUri"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-locationuri""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-name""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-parameters""" p_TargetDatabase: typing.Union['DatabaseDatabaseIdentifier', dict] = attr.ib( default=None, converter=DatabaseDatabaseIdentifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(DatabaseDatabaseIdentifier)), metadata={AttrMeta.PROPERTY_NAME: "TargetDatabase"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-database-databaseinput.html#cfn-glue-database-databaseinput-targetdatabase""" @attr.s class ConnectionConnectionInput(Property): """ AWS Object Type = "AWS::Glue::Connection.ConnectionInput" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html Property Document: - ``rp_ConnectionType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-connectiontype - ``p_ConnectionProperties``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-connectionproperties - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-description - ``p_MatchCriteria``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-matchcriteria - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-name - ``p_PhysicalConnectionRequirements``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-physicalconnectionrequirements """ AWS_OBJECT_TYPE = "AWS::Glue::Connection.ConnectionInput" rp_ConnectionType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ConnectionType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-connectiontype""" p_ConnectionProperties: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "ConnectionProperties"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-connectionproperties""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-description""" p_MatchCriteria: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "MatchCriteria"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-matchcriteria""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-name""" p_PhysicalConnectionRequirements: typing.Union['ConnectionPhysicalConnectionRequirements', dict] = attr.ib( default=None, converter=ConnectionPhysicalConnectionRequirements.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ConnectionPhysicalConnectionRequirements)), metadata={AttrMeta.PROPERTY_NAME: "PhysicalConnectionRequirements"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-connection-connectioninput.html#cfn-glue-connection-connectioninput-physicalconnectionrequirements""" @attr.s class DataCatalogEncryptionSettingsDataCatalogEncryptionSettings(Property): """ AWS Object Type = "AWS::Glue::DataCatalogEncryptionSettings.DataCatalogEncryptionSettings" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-datacatalogencryptionsettings.html Property Document: - ``p_ConnectionPasswordEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings-connectionpasswordencryption - ``p_EncryptionAtRest``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings-encryptionatrest """ AWS_OBJECT_TYPE = "AWS::Glue::DataCatalogEncryptionSettings.DataCatalogEncryptionSettings" p_ConnectionPasswordEncryption: typing.Union['DataCatalogEncryptionSettingsConnectionPasswordEncryption', dict] = attr.ib( default=None, converter=DataCatalogEncryptionSettingsConnectionPasswordEncryption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(DataCatalogEncryptionSettingsConnectionPasswordEncryption)), metadata={AttrMeta.PROPERTY_NAME: "ConnectionPasswordEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings-connectionpasswordencryption""" p_EncryptionAtRest: typing.Union['DataCatalogEncryptionSettingsEncryptionAtRest', dict] = attr.ib( default=None, converter=DataCatalogEncryptionSettingsEncryptionAtRest.from_dict, validator=attr.validators.optional(attr.validators.instance_of(DataCatalogEncryptionSettingsEncryptionAtRest)), metadata={AttrMeta.PROPERTY_NAME: "EncryptionAtRest"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-datacatalogencryptionsettings-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings-encryptionatrest""" @attr.s class SecurityConfigurationEncryptionConfiguration(Property): """ AWS Object Type = "AWS::Glue::SecurityConfiguration.EncryptionConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html Property Document: - ``p_CloudWatchEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-cloudwatchencryption - ``p_JobBookmarksEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-jobbookmarksencryption - ``p_S3Encryptions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-s3encryptions """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration.EncryptionConfiguration" p_CloudWatchEncryption: typing.Union['SecurityConfigurationCloudWatchEncryption', dict] = attr.ib( default=None, converter=SecurityConfigurationCloudWatchEncryption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(SecurityConfigurationCloudWatchEncryption)), metadata={AttrMeta.PROPERTY_NAME: "CloudWatchEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-cloudwatchencryption""" p_JobBookmarksEncryption: typing.Union['SecurityConfigurationJobBookmarksEncryption', dict] = attr.ib( default=None, converter=SecurityConfigurationJobBookmarksEncryption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(SecurityConfigurationJobBookmarksEncryption)), metadata={AttrMeta.PROPERTY_NAME: "JobBookmarksEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-jobbookmarksencryption""" p_S3Encryptions: typing.Union['SecurityConfigurationS3Encryptions', dict] = attr.ib( default=None, converter=SecurityConfigurationS3Encryptions.from_dict, validator=attr.validators.optional(attr.validators.instance_of(SecurityConfigurationS3Encryptions)), metadata={AttrMeta.PROPERTY_NAME: "S3Encryptions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-securityconfiguration-encryptionconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration-s3encryptions""" @attr.s class PartitionSchemaReference(Property): """ AWS Object Type = "AWS::Glue::Partition.SchemaReference" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html Property Document: - ``p_SchameVersionId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schameversionid - ``p_SchemaId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schemaid - ``p_SchemaVersionNumber``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schemaversionnumber """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.SchemaReference" p_SchameVersionId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SchameVersionId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schameversionid""" p_SchemaId: typing.Union['PartitionSchemaId', dict] = attr.ib( default=None, converter=PartitionSchemaId.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PartitionSchemaId)), metadata={AttrMeta.PROPERTY_NAME: "SchemaId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schemaid""" p_SchemaVersionNumber: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "SchemaVersionNumber"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-schemareference.html#cfn-glue-partition-schemareference-schemaversionnumber""" @attr.s class MLTransformInputRecordTables(Property): """ AWS Object Type = "AWS::Glue::MLTransform.InputRecordTables" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables.html Property Document: - ``p_GlueTables``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables.html#cfn-glue-mltransform-inputrecordtables-gluetables """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform.InputRecordTables" p_GlueTables: typing.List[typing.Union['MLTransformGlueTables', dict]] = attr.ib( default=None, converter=MLTransformGlueTables.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(MLTransformGlueTables), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "GlueTables"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-inputrecordtables.html#cfn-glue-mltransform-inputrecordtables-gluetables""" @attr.s class CrawlerTargets(Property): """ AWS Object Type = "AWS::Glue::Crawler.Targets" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html Property Document: - ``p_CatalogTargets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-catalogtargets - ``p_DynamoDBTargets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-dynamodbtargets - ``p_JdbcTargets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-jdbctargets - ``p_S3Targets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-s3targets """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler.Targets" p_CatalogTargets: typing.List[typing.Union['CrawlerCatalogTarget', dict]] = attr.ib( default=None, converter=CrawlerCatalogTarget.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(CrawlerCatalogTarget), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "CatalogTargets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-catalogtargets""" p_DynamoDBTargets: typing.List[typing.Union['CrawlerDynamoDBTarget', dict]] = attr.ib( default=None, converter=CrawlerDynamoDBTarget.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(CrawlerDynamoDBTarget), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "DynamoDBTargets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-dynamodbtargets""" p_JdbcTargets: typing.List[typing.Union['CrawlerJdbcTarget', dict]] = attr.ib( default=None, converter=CrawlerJdbcTarget.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(CrawlerJdbcTarget), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "JdbcTargets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-jdbctargets""" p_S3Targets: typing.List[typing.Union['CrawlerS3Target', dict]] = attr.ib( default=None, converter=CrawlerS3Target.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(CrawlerS3Target), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "S3Targets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-crawler-targets.html#cfn-glue-crawler-targets-s3targets""" @attr.s class TriggerAction(Property): """ AWS Object Type = "AWS::Glue::Trigger.Action" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html Property Document: - ``p_Arguments``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-arguments - ``p_CrawlerName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-crawlername - ``p_JobName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-jobname - ``p_NotificationProperty``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-notificationproperty - ``p_SecurityConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-securityconfiguration - ``p_Timeout``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-timeout """ AWS_OBJECT_TYPE = "AWS::Glue::Trigger.Action" p_Arguments: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Arguments"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-arguments""" p_CrawlerName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CrawlerName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-crawlername""" p_JobName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-jobname""" p_NotificationProperty: typing.Union['TriggerNotificationProperty', dict] = attr.ib( default=None, converter=TriggerNotificationProperty.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TriggerNotificationProperty)), metadata={AttrMeta.PROPERTY_NAME: "NotificationProperty"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-notificationproperty""" p_SecurityConfiguration: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SecurityConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-securityconfiguration""" p_Timeout: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Timeout"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-trigger-action.html#cfn-glue-trigger-action-timeout""" @attr.s class PartitionStorageDescriptor(Property): """ AWS Object Type = "AWS::Glue::Partition.StorageDescriptor" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html Property Document: - ``p_BucketColumns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-bucketcolumns - ``p_Columns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-columns - ``p_Compressed``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-compressed - ``p_InputFormat``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-inputformat - ``p_Location``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-location - ``p_NumberOfBuckets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-numberofbuckets - ``p_OutputFormat``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-outputformat - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-parameters - ``p_SchemaReference``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-schemareference - ``p_SerdeInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-serdeinfo - ``p_SkewedInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-skewedinfo - ``p_SortColumns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-sortcolumns - ``p_StoredAsSubDirectories``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-storedassubdirectories """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.StorageDescriptor" p_BucketColumns: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "BucketColumns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-bucketcolumns""" p_Columns: typing.List[typing.Union['PartitionColumn', dict]] = attr.ib( default=None, converter=PartitionColumn.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PartitionColumn), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Columns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-columns""" p_Compressed: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Compressed"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-compressed""" p_InputFormat: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "InputFormat"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-inputformat""" p_Location: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Location"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-location""" p_NumberOfBuckets: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfBuckets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-numberofbuckets""" p_OutputFormat: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "OutputFormat"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-outputformat""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-parameters""" p_SchemaReference: typing.Union['PartitionSchemaReference', dict] = attr.ib( default=None, converter=PartitionSchemaReference.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PartitionSchemaReference)), metadata={AttrMeta.PROPERTY_NAME: "SchemaReference"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-schemareference""" p_SerdeInfo: typing.Union['PartitionSerdeInfo', dict] = attr.ib( default=None, converter=PartitionSerdeInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PartitionSerdeInfo)), metadata={AttrMeta.PROPERTY_NAME: "SerdeInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-serdeinfo""" p_SkewedInfo: typing.Union['PartitionSkewedInfo', dict] = attr.ib( default=None, converter=PartitionSkewedInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PartitionSkewedInfo)), metadata={AttrMeta.PROPERTY_NAME: "SkewedInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-skewedinfo""" p_SortColumns: typing.List[typing.Union['PartitionOrder', dict]] = attr.ib( default=None, converter=PartitionOrder.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PartitionOrder), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SortColumns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-sortcolumns""" p_StoredAsSubDirectories: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "StoredAsSubDirectories"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-storagedescriptor.html#cfn-glue-partition-storagedescriptor-storedassubdirectories""" @attr.s class TableStorageDescriptor(Property): """ AWS Object Type = "AWS::Glue::Table.StorageDescriptor" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html Property Document: - ``p_BucketColumns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-bucketcolumns - ``p_Columns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-columns - ``p_Compressed``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-compressed - ``p_InputFormat``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-inputformat - ``p_Location``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-location - ``p_NumberOfBuckets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-numberofbuckets - ``p_OutputFormat``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-outputformat - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-parameters - ``p_SchemaReference``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-schemareference - ``p_SerdeInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-serdeinfo - ``p_SkewedInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-skewedinfo - ``p_SortColumns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-sortcolumns - ``p_StoredAsSubDirectories``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-storedassubdirectories """ AWS_OBJECT_TYPE = "AWS::Glue::Table.StorageDescriptor" p_BucketColumns: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "BucketColumns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-bucketcolumns""" p_Columns: typing.List[typing.Union['TableColumn', dict]] = attr.ib( default=None, converter=TableColumn.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TableColumn), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Columns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-columns""" p_Compressed: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Compressed"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-compressed""" p_InputFormat: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "InputFormat"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-inputformat""" p_Location: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Location"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-location""" p_NumberOfBuckets: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfBuckets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-numberofbuckets""" p_OutputFormat: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "OutputFormat"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-outputformat""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-parameters""" p_SchemaReference: typing.Union['TableSchemaReference', dict] = attr.ib( default=None, converter=TableSchemaReference.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableSchemaReference)), metadata={AttrMeta.PROPERTY_NAME: "SchemaReference"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-schemareference""" p_SerdeInfo: typing.Union['TableSerdeInfo', dict] = attr.ib( default=None, converter=TableSerdeInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableSerdeInfo)), metadata={AttrMeta.PROPERTY_NAME: "SerdeInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-serdeinfo""" p_SkewedInfo: typing.Union['TableSkewedInfo', dict] = attr.ib( default=None, converter=TableSkewedInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableSkewedInfo)), metadata={AttrMeta.PROPERTY_NAME: "SkewedInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-skewedinfo""" p_SortColumns: typing.List[typing.Union['TableOrder', dict]] = attr.ib( default=None, converter=TableOrder.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TableOrder), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SortColumns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-sortcolumns""" p_StoredAsSubDirectories: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "StoredAsSubDirectories"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-storagedescriptor.html#cfn-glue-table-storagedescriptor-storedassubdirectories""" @attr.s class PartitionPartitionInput(Property): """ AWS Object Type = "AWS::Glue::Partition.PartitionInput" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html Property Document: - ``rp_Values``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-values - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-parameters - ``p_StorageDescriptor``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-storagedescriptor """ AWS_OBJECT_TYPE = "AWS::Glue::Partition.PartitionInput" rp_Values: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "Values"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-values""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-parameters""" p_StorageDescriptor: typing.Union['PartitionStorageDescriptor', dict] = attr.ib( default=None, converter=PartitionStorageDescriptor.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PartitionStorageDescriptor)), metadata={AttrMeta.PROPERTY_NAME: "StorageDescriptor"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-partition-partitioninput.html#cfn-glue-partition-partitioninput-storagedescriptor""" @attr.s class TableTableInput(Property): """ AWS Object Type = "AWS::Glue::Table.TableInput" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html Property Document: - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-description - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-name - ``p_Owner``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-owner - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-parameters - ``p_PartitionKeys``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-partitionkeys - ``p_Retention``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-retention - ``p_StorageDescriptor``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-storagedescriptor - ``p_TableType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-tabletype - ``p_TargetTable``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-targettable - ``p_ViewExpandedText``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-viewexpandedtext - ``p_ViewOriginalText``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-vieworiginaltext """ AWS_OBJECT_TYPE = "AWS::Glue::Table.TableInput" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-description""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-name""" p_Owner: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Owner"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-owner""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-parameters""" p_PartitionKeys: typing.List[typing.Union['TableColumn', dict]] = attr.ib( default=None, converter=TableColumn.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TableColumn), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "PartitionKeys"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-partitionkeys""" p_Retention: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Retention"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-retention""" p_StorageDescriptor: typing.Union['TableStorageDescriptor', dict] = attr.ib( default=None, converter=TableStorageDescriptor.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableStorageDescriptor)), metadata={AttrMeta.PROPERTY_NAME: "StorageDescriptor"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-storagedescriptor""" p_TableType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TableType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-tabletype""" p_TargetTable: typing.Union['TableTableIdentifier', dict] = attr.ib( default=None, converter=TableTableIdentifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TableTableIdentifier)), metadata={AttrMeta.PROPERTY_NAME: "TargetTable"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-targettable""" p_ViewExpandedText: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ViewExpandedText"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-viewexpandedtext""" p_ViewOriginalText: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ViewOriginalText"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-vieworiginaltext""" #--- Resource declaration --- @attr.s class SchemaVersion(Resource): """ AWS Object Type = "AWS::Glue::SchemaVersion" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html Property Document: - ``rp_Schema``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html#cfn-glue-schemaversion-schema - ``rp_SchemaDefinition``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html#cfn-glue-schemaversion-schemadefinition """ AWS_OBJECT_TYPE = "AWS::Glue::SchemaVersion" rp_Schema: typing.Union['SchemaVersionSchema', dict] = attr.ib( default=None, converter=SchemaVersionSchema.from_dict, validator=attr.validators.instance_of(SchemaVersionSchema), metadata={AttrMeta.PROPERTY_NAME: "Schema"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html#cfn-glue-schemaversion-schema""" rp_SchemaDefinition: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "SchemaDefinition"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html#cfn-glue-schemaversion-schemadefinition""" @property def rv_VersionId(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversion.html#aws-resource-glue-schemaversion-return-values""" return GetAtt(resource=self, attr_name="VersionId") @attr.s class DataCatalogEncryptionSettings(Resource): """ AWS Object Type = "AWS::Glue::DataCatalogEncryptionSettings" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-datacatalogencryptionsettings.html Property Document: - ``rp_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-catalogid - ``rp_DataCatalogEncryptionSettings``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings """ AWS_OBJECT_TYPE = "AWS::Glue::DataCatalogEncryptionSettings" rp_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-catalogid""" rp_DataCatalogEncryptionSettings: typing.Union['DataCatalogEncryptionSettingsDataCatalogEncryptionSettings', dict] = attr.ib( default=None, converter=DataCatalogEncryptionSettingsDataCatalogEncryptionSettings.from_dict, validator=attr.validators.instance_of(DataCatalogEncryptionSettingsDataCatalogEncryptionSettings), metadata={AttrMeta.PROPERTY_NAME: "DataCatalogEncryptionSettings"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-datacatalogencryptionsettings.html#cfn-glue-datacatalogencryptionsettings-datacatalogencryptionsettings""" @attr.s class Workflow(Resource): """ AWS Object Type = "AWS::Glue::Workflow" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html Property Document: - ``p_DefaultRunProperties``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-defaultrunproperties - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-description - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-name - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Workflow" p_DefaultRunProperties: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "DefaultRunProperties"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-defaultrunproperties""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-description""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-name""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-workflow.html#cfn-glue-workflow-tags""" @attr.s class Job(Resource): """ AWS Object Type = "AWS::Glue::Job" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html Property Document: - ``rp_Command``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-command - ``rp_Role``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-role - ``p_AllocatedCapacity``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-allocatedcapacity - ``p_Connections``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-connections - ``p_DefaultArguments``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-defaultarguments - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-description - ``p_ExecutionProperty``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-executionproperty - ``p_GlueVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-glueversion - ``p_LogUri``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-loguri - ``p_MaxCapacity``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-maxcapacity - ``p_MaxRetries``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-maxretries - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-name - ``p_NotificationProperty``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-notificationproperty - ``p_NumberOfWorkers``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-numberofworkers - ``p_SecurityConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-securityconfiguration - ``p_Timeout``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-timeout - ``p_WorkerType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-workertype - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Job" rp_Command: typing.Union['JobJobCommand', dict] = attr.ib( default=None, converter=JobJobCommand.from_dict, validator=attr.validators.instance_of(JobJobCommand), metadata={AttrMeta.PROPERTY_NAME: "Command"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-command""" rp_Role: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Role"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-role""" p_AllocatedCapacity: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "AllocatedCapacity"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-allocatedcapacity""" p_Connections: typing.Union['JobConnectionsList', dict] = attr.ib( default=None, converter=JobConnectionsList.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobConnectionsList)), metadata={AttrMeta.PROPERTY_NAME: "Connections"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-connections""" p_DefaultArguments: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "DefaultArguments"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-defaultarguments""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-description""" p_ExecutionProperty: typing.Union['JobExecutionProperty', dict] = attr.ib( default=None, converter=JobExecutionProperty.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobExecutionProperty)), metadata={AttrMeta.PROPERTY_NAME: "ExecutionProperty"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-executionproperty""" p_GlueVersion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "GlueVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-glueversion""" p_LogUri: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LogUri"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-loguri""" p_MaxCapacity: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "MaxCapacity"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-maxcapacity""" p_MaxRetries: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "MaxRetries"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-maxretries""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-name""" p_NotificationProperty: typing.Union['JobNotificationProperty', dict] = attr.ib( default=None, converter=JobNotificationProperty.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobNotificationProperty)), metadata={AttrMeta.PROPERTY_NAME: "NotificationProperty"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-notificationproperty""" p_NumberOfWorkers: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfWorkers"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-numberofworkers""" p_SecurityConfiguration: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SecurityConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-securityconfiguration""" p_Timeout: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Timeout"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-timeout""" p_WorkerType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "WorkerType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-workertype""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.html#cfn-glue-job-tags""" @attr.s class Database(Resource): """ AWS Object Type = "AWS::Glue::Database" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-database.html Property Document: - ``rp_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-database.html#cfn-glue-database-catalogid - ``rp_DatabaseInput``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-database.html#cfn-glue-database-databaseinput """ AWS_OBJECT_TYPE = "AWS::Glue::Database" rp_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-database.html#cfn-glue-database-catalogid""" rp_DatabaseInput: typing.Union['DatabaseDatabaseInput', dict] = attr.ib( default=None, converter=DatabaseDatabaseInput.from_dict, validator=attr.validators.instance_of(DatabaseDatabaseInput), metadata={AttrMeta.PROPERTY_NAME: "DatabaseInput"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-database.html#cfn-glue-database-databaseinput""" @attr.s class DevEndpoint(Resource): """ AWS Object Type = "AWS::Glue::DevEndpoint" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html Property Document: - ``rp_RoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-rolearn - ``p_Arguments``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-arguments - ``p_EndpointName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-endpointname - ``p_ExtraJarsS3Path``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrajarss3path - ``p_ExtraPythonLibsS3Path``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrapythonlibss3path - ``p_GlueVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-glueversion - ``p_NumberOfNodes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofnodes - ``p_NumberOfWorkers``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofworkers - ``p_PublicKey``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickey - ``p_PublicKeys``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickeys - ``p_SecurityConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securityconfiguration - ``p_SecurityGroupIds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securitygroupids - ``p_SubnetId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-subnetid - ``p_WorkerType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-workertype - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-tags """ AWS_OBJECT_TYPE = "AWS::Glue::DevEndpoint" rp_RoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "RoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-rolearn""" p_Arguments: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Arguments"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-arguments""" p_EndpointName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "EndpointName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-endpointname""" p_ExtraJarsS3Path: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ExtraJarsS3Path"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrajarss3path""" p_ExtraPythonLibsS3Path: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ExtraPythonLibsS3Path"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrapythonlibss3path""" p_GlueVersion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "GlueVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-glueversion""" p_NumberOfNodes: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfNodes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofnodes""" p_NumberOfWorkers: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfWorkers"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofworkers""" p_PublicKey: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "PublicKey"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickey""" p_PublicKeys: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "PublicKeys"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickeys""" p_SecurityConfiguration: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SecurityConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securityconfiguration""" p_SecurityGroupIds: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SecurityGroupIds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securitygroupids""" p_SubnetId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SubnetId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-subnetid""" p_WorkerType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "WorkerType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-workertype""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-tags""" @attr.s class SchemaVersionMetadata(Resource): """ AWS Object Type = "AWS::Glue::SchemaVersionMetadata" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html Property Document: - ``rp_Key``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-key - ``rp_SchemaVersionId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-schemaversionid - ``rp_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-value """ AWS_OBJECT_TYPE = "AWS::Glue::SchemaVersionMetadata" rp_Key: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Key"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-key""" rp_SchemaVersionId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "SchemaVersionId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-schemaversionid""" rp_Value: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schemaversionmetadata.html#cfn-glue-schemaversionmetadata-value""" @attr.s class Crawler(Resource): """ AWS Object Type = "AWS::Glue::Crawler" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html Property Document: - ``rp_Role``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-role - ``rp_Targets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-targets - ``p_Classifiers``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-classifiers - ``p_Configuration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-configuration - ``p_CrawlerSecurityConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-crawlersecurityconfiguration - ``p_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-databasename - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-description - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-name - ``p_Schedule``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-schedule - ``p_SchemaChangePolicy``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-schemachangepolicy - ``p_TablePrefix``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-tableprefix - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Crawler" rp_Role: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Role"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-role""" rp_Targets: typing.Union['CrawlerTargets', dict] = attr.ib( default=None, converter=CrawlerTargets.from_dict, validator=attr.validators.instance_of(CrawlerTargets), metadata={AttrMeta.PROPERTY_NAME: "Targets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-targets""" p_Classifiers: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Classifiers"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-classifiers""" p_Configuration: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Configuration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-configuration""" p_CrawlerSecurityConfiguration: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "CrawlerSecurityConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-crawlersecurityconfiguration""" p_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-databasename""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-description""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-name""" p_Schedule: typing.Union['CrawlerSchedule', dict] = attr.ib( default=None, converter=CrawlerSchedule.from_dict, validator=attr.validators.optional(attr.validators.instance_of(CrawlerSchedule)), metadata={AttrMeta.PROPERTY_NAME: "Schedule"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-schedule""" p_SchemaChangePolicy: typing.Union['CrawlerSchemaChangePolicy', dict] = attr.ib( default=None, converter=CrawlerSchemaChangePolicy.from_dict, validator=attr.validators.optional(attr.validators.instance_of(CrawlerSchemaChangePolicy)), metadata={AttrMeta.PROPERTY_NAME: "SchemaChangePolicy"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-schemachangepolicy""" p_TablePrefix: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TablePrefix"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-tableprefix""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-crawler.html#cfn-glue-crawler-tags""" @attr.s class MLTransform(Resource): """ AWS Object Type = "AWS::Glue::MLTransform" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html Property Document: - ``rp_InputRecordTables``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-inputrecordtables - ``rp_Role``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-role - ``rp_TransformParameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-transformparameters - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-description - ``p_GlueVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-glueversion - ``p_MaxCapacity``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxcapacity - ``p_MaxRetries``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxretries - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-name - ``p_NumberOfWorkers``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-numberofworkers - ``p_Timeout``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-timeout - ``p_TransformEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-transformencryption - ``p_WorkerType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-workertype - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-tags """ AWS_OBJECT_TYPE = "AWS::Glue::MLTransform" rp_InputRecordTables: typing.Union['MLTransformInputRecordTables', dict] = attr.ib( default=None, converter=MLTransformInputRecordTables.from_dict, validator=attr.validators.instance_of(MLTransformInputRecordTables), metadata={AttrMeta.PROPERTY_NAME: "InputRecordTables"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-inputrecordtables""" rp_Role: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Role"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-role""" rp_TransformParameters: typing.Union['MLTransformTransformParameters', dict] = attr.ib( default=None, converter=MLTransformTransformParameters.from_dict, validator=attr.validators.instance_of(MLTransformTransformParameters), metadata={AttrMeta.PROPERTY_NAME: "TransformParameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-transformparameters""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-description""" p_GlueVersion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "GlueVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-glueversion""" p_MaxCapacity: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "MaxCapacity"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxcapacity""" p_MaxRetries: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "MaxRetries"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxretries""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-name""" p_NumberOfWorkers: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "NumberOfWorkers"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-numberofworkers""" p_Timeout: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Timeout"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-timeout""" p_TransformEncryption: typing.Union['MLTransformTransformEncryption', dict] = attr.ib( default=None, converter=MLTransformTransformEncryption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(MLTransformTransformEncryption)), metadata={AttrMeta.PROPERTY_NAME: "TransformEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-transformencryption""" p_WorkerType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "WorkerType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-workertype""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-tags""" @attr.s class Classifier(Resource): """ AWS Object Type = "AWS::Glue::Classifier" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html Property Document: - ``p_CsvClassifier``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-csvclassifier - ``p_GrokClassifier``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-grokclassifier - ``p_JsonClassifier``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-jsonclassifier - ``p_XMLClassifier``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-xmlclassifier """ AWS_OBJECT_TYPE = "AWS::Glue::Classifier" p_CsvClassifier: typing.Union['ClassifierCsvClassifier', dict] = attr.ib( default=None, converter=ClassifierCsvClassifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ClassifierCsvClassifier)), metadata={AttrMeta.PROPERTY_NAME: "CsvClassifier"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-csvclassifier""" p_GrokClassifier: typing.Union['ClassifierGrokClassifier', dict] = attr.ib( default=None, converter=ClassifierGrokClassifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ClassifierGrokClassifier)), metadata={AttrMeta.PROPERTY_NAME: "GrokClassifier"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-grokclassifier""" p_JsonClassifier: typing.Union['ClassifierJsonClassifier', dict] = attr.ib( default=None, converter=ClassifierJsonClassifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ClassifierJsonClassifier)), metadata={AttrMeta.PROPERTY_NAME: "JsonClassifier"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-jsonclassifier""" p_XMLClassifier: typing.Union['ClassifierXMLClassifier', dict] = attr.ib( default=None, converter=ClassifierXMLClassifier.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ClassifierXMLClassifier)), metadata={AttrMeta.PROPERTY_NAME: "XMLClassifier"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html#cfn-glue-classifier-xmlclassifier""" @attr.s class Schema(Resource): """ AWS Object Type = "AWS::Glue::Schema" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html Property Document: - ``rp_Compatibility``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-compatibility - ``rp_DataFormat``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-dataformat - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-name - ``rp_SchemaDefinition``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-schemadefinition - ``p_CheckpointVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-checkpointversion - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-description - ``p_Registry``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-registry - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Schema" rp_Compatibility: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Compatibility"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-compatibility""" rp_DataFormat: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "DataFormat"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-dataformat""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-name""" rp_SchemaDefinition: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "SchemaDefinition"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-schemadefinition""" p_CheckpointVersion: typing.Union['SchemaSchemaVersion', dict] = attr.ib( default=None, converter=SchemaSchemaVersion.from_dict, validator=attr.validators.optional(attr.validators.instance_of(SchemaSchemaVersion)), metadata={AttrMeta.PROPERTY_NAME: "CheckpointVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-checkpointversion""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-description""" p_Registry: typing.Union['SchemaRegistry', dict] = attr.ib( default=None, converter=SchemaRegistry.from_dict, validator=attr.validators.optional(attr.validators.instance_of(SchemaRegistry)), metadata={AttrMeta.PROPERTY_NAME: "Registry"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-registry""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#cfn-glue-schema-tags""" @property def rv_Arn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#aws-resource-glue-schema-return-values""" return GetAtt(resource=self, attr_name="Arn") @property def rv_InitialSchemaVersionId(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-schema.html#aws-resource-glue-schema-return-values""" return GetAtt(resource=self, attr_name="InitialSchemaVersionId") @attr.s class Table(Resource): """ AWS Object Type = "AWS::Glue::Table" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html Property Document: - ``rp_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-catalogid - ``rp_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-databasename - ``rp_TableInput``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-tableinput """ AWS_OBJECT_TYPE = "AWS::Glue::Table" rp_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-catalogid""" rp_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-databasename""" rp_TableInput: typing.Union['TableTableInput', dict] = attr.ib( default=None, converter=TableTableInput.from_dict, validator=attr.validators.instance_of(TableTableInput), metadata={AttrMeta.PROPERTY_NAME: "TableInput"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html#cfn-glue-table-tableinput""" @attr.s class Connection(Resource): """ AWS Object Type = "AWS::Glue::Connection" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-connection.html Property Document: - ``rp_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-connection.html#cfn-glue-connection-catalogid - ``rp_ConnectionInput``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-connection.html#cfn-glue-connection-connectioninput """ AWS_OBJECT_TYPE = "AWS::Glue::Connection" rp_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-connection.html#cfn-glue-connection-catalogid""" rp_ConnectionInput: typing.Union['ConnectionConnectionInput', dict] = attr.ib( default=None, converter=ConnectionConnectionInput.from_dict, validator=attr.validators.instance_of(ConnectionConnectionInput), metadata={AttrMeta.PROPERTY_NAME: "ConnectionInput"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-connection.html#cfn-glue-connection-connectioninput""" @attr.s class Partition(Resource): """ AWS Object Type = "AWS::Glue::Partition" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html Property Document: - ``rp_CatalogId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-catalogid - ``rp_DatabaseName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-databasename - ``rp_PartitionInput``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-partitioninput - ``rp_TableName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-tablename """ AWS_OBJECT_TYPE = "AWS::Glue::Partition" rp_CatalogId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CatalogId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-catalogid""" rp_DatabaseName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "DatabaseName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-databasename""" rp_PartitionInput: typing.Union['PartitionPartitionInput', dict] = attr.ib( default=None, converter=PartitionPartitionInput.from_dict, validator=attr.validators.instance_of(PartitionPartitionInput), metadata={AttrMeta.PROPERTY_NAME: "PartitionInput"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-partitioninput""" rp_TableName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TableName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html#cfn-glue-partition-tablename""" @attr.s class Registry(Resource): """ AWS Object Type = "AWS::Glue::Registry" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html Property Document: - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-name - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-description - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Registry" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-name""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-description""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#cfn-glue-registry-tags""" @property def rv_Arn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-registry.html#aws-resource-glue-registry-return-values""" return GetAtt(resource=self, attr_name="Arn") @attr.s class Trigger(Resource): """ AWS Object Type = "AWS::Glue::Trigger" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html Property Document: - ``rp_Actions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-actions - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-type - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-description - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-name - ``p_Predicate``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-predicate - ``p_Schedule``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-schedule - ``p_StartOnCreation``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-startoncreation - ``p_WorkflowName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-workflowname - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-tags """ AWS_OBJECT_TYPE = "AWS::Glue::Trigger" rp_Actions: typing.List[typing.Union['TriggerAction', dict]] = attr.ib( default=None, converter=TriggerAction.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TriggerAction), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "Actions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-actions""" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-type""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-description""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-name""" p_Predicate: typing.Union['TriggerPredicate', dict] = attr.ib( default=None, converter=TriggerPredicate.from_dict, validator=attr.validators.optional(attr.validators.instance_of(TriggerPredicate)), metadata={AttrMeta.PROPERTY_NAME: "Predicate"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-predicate""" p_Schedule: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Schedule"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-schedule""" p_StartOnCreation: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "StartOnCreation"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-startoncreation""" p_WorkflowName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "WorkflowName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-workflowname""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-trigger.html#cfn-glue-trigger-tags""" @attr.s class SecurityConfiguration(Resource): """ AWS Object Type = "AWS::Glue::SecurityConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-securityconfiguration.html Property Document: - ``rp_EncryptionConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-securityconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-securityconfiguration.html#cfn-glue-securityconfiguration-name """ AWS_OBJECT_TYPE = "AWS::Glue::SecurityConfiguration" rp_EncryptionConfiguration: typing.Union['SecurityConfigurationEncryptionConfiguration', dict] = attr.ib( default=None, converter=SecurityConfigurationEncryptionConfiguration.from_dict, validator=attr.validators.instance_of(SecurityConfigurationEncryptionConfiguration), metadata={AttrMeta.PROPERTY_NAME: "EncryptionConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-securityconfiguration.html#cfn-glue-securityconfiguration-encryptionconfiguration""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-securityconfiguration.html#cfn-glue-securityconfiguration-name"""

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null

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6

1bf0ca336ca50628ba7c13df344dc98dac687ce7

3,871

py

Python

tests/test_phylogeny_metrics.py

alackles/alife-std-dev-python

9d2beb21fb7bb10a6481a9154cf0b71f98885b4e

[ "MIT" ]

null

tests/test_phylogeny_metrics.py

alackles/alife-std-dev-python

9d2beb21fb7bb10a6481a9154cf0b71f98885b4e

[ "MIT" ]

10

2019-03-04T16:28:05.000Z

2019-03-15T20:32:03.000Z

tests/test_phylogeny_metrics.py

alackles/alife-std-dev-python

9d2beb21fb7bb10a6481a9154cf0b71f98885b4e

[ "MIT" ]

2

2019-03-04T18:44:47.000Z

2021-11-04T16:35:34.000Z

import ALifeStdDev.phylogeny as phylodev import pytest def test_get_asexual_lineage_length(): toy_lineage_fname = "example_data/example-standard-toy-asexual-lineage.csv" lineage = phylodev.load_phylogeny_to_networkx(toy_lineage_fname) length = phylodev.get_asexual_lineage_length(lineage) assert length == 8 def test_get_asexual_lineage_num_discrete_state_changes(): toy_lineage_fname = "example_data/example-standard-toy-asexual-lineage.csv" lineage = phylodev.load_phylogeny_to_networkx(toy_lineage_fname) assert 4 == phylodev.get_asexual_lineage_num_discrete_state_changes(lineage, attribute_list=["genotype"]) assert 4 == phylodev.get_asexual_lineage_num_discrete_state_changes(lineage, attribute_list=["genotype","trait_a"]) assert 3 == phylodev.get_asexual_lineage_num_discrete_state_changes(lineage, attribute_list=["trait_a"]) assert 2 == phylodev.get_asexual_lineage_num_discrete_state_changes(lineage, attribute_list=["trait_b"]) with pytest.raises(Exception): phylodev.get_asexual_lineage_num_discrete_state_changes(lineage, attribute_list=["garbage_attribute_that_nothing_should_have"]) def test_get_asexual_lineage_num_discrete_unique_states(): toy_lineage_fname = "example_data/example-standard-toy-asexual-lineage.csv" lineage = phylodev.load_phylogeny_to_networkx(toy_lineage_fname) assert 4 == phylodev.get_asexual_lineage_num_discrete_unique_states(lineage, attribute_list=["genotype"]) assert 2 == phylodev.get_asexual_lineage_num_discrete_unique_states(lineage, attribute_list=["trait_b"]) with pytest.raises(Exception): phylodev.get_asexual_lineage_num_discrete_unique_states(lineage, attribute_list=["garbage_attribute_that_nothing_should_have"]) def test_get_asexual_lineage_mutation_accumulation(): toy_lineage_fname = "example_data/example-standard-toy-asexual-lineage.csv" lineage = phylodev.load_phylogeny_to_networkx(toy_lineage_fname) mut_dist = phylodev.get_asexual_lineage_mutation_accumulation(lineage, mutation_attributes=["sub_mut_cnt","reverse_mut_cnt"]) assert mut_dist["sub_mut_cnt"] == 2 assert mut_dist["reverse_mut_cnt"] == 1 with pytest.raises(Exception): mut_dist = phylodev.get_asexual_lineage_mutation_accumulation(lineage, mutation_attributes=["garbage_attribute_that_nothing_should_have"]) def test_get_mrca_tree_depth(): single_root_fname = "example_data/example-standard-toy-asexual-phylogeny.csv" sroot = phylodev.load_phylogeny_to_networkx(single_root_fname) depth = phylodev.get_mrca_tree_depth_asexual(sroot) assert depth == 0 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [3,4,5]) assert depth == 0 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [3,4]) assert depth == 1 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [5,0]) assert depth == 0 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [0,1,2,3,4,5]) assert depth == 0 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [2]) assert depth == 1 depth = phylodev.get_mrca_tree_depth_asexual(sroot, [5]) assert depth == 2 def test_calc_phylogenetic_diversity_asexual(): single_root_fname = "example_data/example-standard-toy-asexual-phylogeny-not-pruned.csv" sroot = phylodev.load_phylogeny_to_networkx(single_root_fname) diversity = phylodev.calc_phylogenetic_diversity_asexual(sroot, [3,4,5]) assert diversity == 6 diversity = phylodev.calc_phylogenetic_diversity_asexual(sroot, [3,4,5,8]) assert diversity == 7 if __name__ == "__main__": test_get_asexual_lineage_length() test_get_asexual_lineage_num_discrete_state_changes() test_get_asexual_lineage_num_discrete_unique_states() test_get_asexual_lineage_mutation_accumulation() test_get_mrca_tree_depth() test_calc_phylogenetic_diversity_asexual()

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null

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6

400c1768f6579eed3113869d352130bd9e2c219d

47

py

Python

src/__init__.py

students124/TugasSearch

8ec87d79c5dc933180795a1f4b811c6da9612526

[ "MIT" ]

null

src/__init__.py

students124/TugasSearch

8ec87d79c5dc933180795a1f4b811c6da9612526

[ "MIT" ]

null

src/__init__.py

students124/TugasSearch

8ec87d79c5dc933180795a1f4b811c6da9612526

[ "MIT" ]

null

from .Graph import Graph # from .GUI import GUI

23.5

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1

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1

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6

400e1b25a472ec86f677953a0fba861de4bb85fe

3,850

py

Python

tests/test_transformer/test_dropout/test_dropout_transormer.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

49

2018-01-06T12:57:56.000Z

2021-09-03T09:48:32.000Z

tests/test_transformer/test_dropout/test_dropout_transormer.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

101

2018-01-16T19:24:21.000Z

2021-11-10T19:39:33.000Z

tests/test_transformer/test_dropout/test_dropout_transormer.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

32

2018-02-15T19:39:50.000Z

2020-11-26T22:32:05.000Z

import pytest import tensorflow.compat.v1 as tf from utensor_cgen.frontend.tensorflow import GraphDefParser from utensor_cgen.transformer.ns_transformer import (DropoutTransformer, DropoutTransformerV2) def test_dropout_trans_1_1(droput_graph_tuple): (graph_def, (rate_name, dropout_output_name), output_nodes) = droput_graph_tuple ugraph = GraphDefParser(config={}).parse(graph_def, output_nodes=output_nodes) transformer = DropoutTransformer() assert transformer.prune_graph new_ugraph = transformer.transform(ugraph) for op in new_ugraph.ops_info.values(): assert op.ugraph out_op = new_ugraph.ops_info[output_nodes[0]] assert set([str(op.name) for op in out_op.input_nodes]) == set(['x', 'bias']) # all dropout nodes should be gone graph_1 = tf.Graph() graph_2 = tf.Graph() with graph_1.as_default(): tf.import_graph_def(ugraph.graph_def, name='') with graph_2.as_default(): tf.import_graph_def(new_ugraph.graph_def, name='') with tf.Session(graph=graph_1): rate = graph_1.get_tensor_by_name(rate_name) dropout_output = graph_1.get_tensor_by_name(dropout_output_name) output = graph_1.get_tensor_by_name(output_nodes[0]+":0") # test the dropout ops are gone assert rate.op.name not in new_ugraph.ops_info assert dropout_output.op.name not in new_ugraph.ops_info output_1 = output.eval({rate: 0.0}) with tf.Session(graph=graph_2): output = graph_2.get_tensor_by_name(output_nodes[0]+":0") output_2 = output.eval() # expecting the same outputs with keep_prob == 1.0 assert (output_1 == output_2).all() @pytest.mark.deprecated def test_dropout_trans_1_2(droput_graph_tuple): (graph_def, (keep_prob_name, dropout_output_name), output_nodes) = droput_graph_tuple ugraph = GraphDefParser(config={}).parse(graph_def, output_nodes=output_nodes) transformer = DropoutTransformerV2() assert transformer.prune_graph new_ugraph = transformer.transform(ugraph) for op in new_ugraph.ops_info.values(): assert op.ugraph out_op = new_ugraph.ops_info[output_nodes[0]] assert set([str(op.name) for op in out_op.input_nodes]) == set(['x', 'bias']) # all dropout nodes should be gone graph_1 = tf.Graph() graph_2 = tf.Graph() with graph_1.as_default(): tf.import_graph_def(ugraph.graph_def, name='') with graph_2.as_default(): tf.import_graph_def(new_ugraph.graph_def, name='') with tf.Session(graph=graph_1): keep_prob = graph_1.get_tensor_by_name(keep_prob_name) dropout_output = graph_1.get_tensor_by_name(dropout_output_name) output = graph_1.get_tensor_by_name(output_nodes[0]+":0") # test the dropout ops are gone assert keep_prob.op.name not in new_ugraph.ops_info assert dropout_output.op.name not in new_ugraph.ops_info output_1 = output.eval({keep_prob:1.0}) with tf.Session(graph=graph_2): output = graph_2.get_tensor_by_name(output_nodes[0]+":0") output_2 = output.eval() # expecting the same outputs with keep_prob == 1.0 assert (output_1 == output_2).all() @pytest.mark.deprecated def test_dropout_trans_2(dropout_graph_tuple2): graph_def, output_nodes = dropout_graph_tuple2 ugraph = GraphDefParser(config={}).parse(graph_def, output_nodes=output_nodes) trans = DropoutTransformerV2() new_ugraph = trans.transform(ugraph) assert len(new_ugraph.ops_info) == 1 assert 'x' in new_ugraph.ops_info @pytest.mark.deprecated def test_dropout_vgg(vgg_ugraph): trans = DropoutTransformerV2() new_ugraph = trans.transform(vgg_ugraph) for op_name in new_ugraph.ops_info: assert not op_name.startswith('dropout')

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32

py

Python

app/services/game_data/__init__.py

somespecialone/clever-inspect

8735e0b445c8e7e9b83c627d4a5fbed1428c1891

[ "MIT" ]

1

2022-03-12T05:44:12.000Z

app/services/game_data/__init__.py

somespecialone/clever-inspect

8735e0b445c8e7e9b83c627d4a5fbed1428c1891

[ "MIT" ]

null

app/services/game_data/__init__.py

somespecialone/clever-inspect

8735e0b445c8e7e9b83c627d4a5fbed1428c1891

[ "MIT" ]

null

from .game_data import GameData

16

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6

4024f03f3c9deaa2cb223b9ddcd6a3aefc88cf73

49

py

Python

fintech_ibkr/__init__.py

ls4351/testapp

83238af14e07e2dcc7476244a00bbc05b6f960f3

[ "MIT" ]

null

fintech_ibkr/__init__.py

ls4351/testapp

83238af14e07e2dcc7476244a00bbc05b6f960f3

[ "MIT" ]

null

fintech_ibkr/__init__.py

ls4351/testapp

83238af14e07e2dcc7476244a00bbc05b6f960f3

[ "MIT" ]

null

from fintech_ibkr.synchronous_functions import *

24.5

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402ad1449bf7ecbb0c9e424928ea439978226a3a

13

py

Python

db/utils/__init__.py

cuichuan123456/transform-culane

5e1de763100ae53b1c5c66cf168c09999cf75139

[ "BSD-3-Clause" ]

540

2020-11-10T11:09:00.000Z

2022-03-30T01:49:33.000Z

db/utils/__init__.py

cuichuan123456/transform-culane

5e1de763100ae53b1c5c66cf168c09999cf75139

[ "BSD-3-Clause" ]

83

2020-11-14T17:43:34.000Z

2022-03-22T08:49:23.000Z

db/utils/__init__.py

cuichuan123456/transform-culane

5e1de763100ae53b1c5c66cf168c09999cf75139

[ "BSD-3-Clause" ]

122

2020-11-12T01:29:12.000Z

2022-03-23T09:50:50.000Z

# 2020 07 09

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6

4035346bef3c7b4eacc542c54237dbbc1c19a731

102

py

Python

pyhive/__init__.py

mayurinehate/PyHive

a7e106262b1cd61b9be869948574e23c96c16bc9

[ "Apache-2.0" ]

null

pyhive/__init__.py

mayurinehate/PyHive

a7e106262b1cd61b9be869948574e23c96c16bc9

[ "Apache-2.0" ]

null

pyhive/__init__.py

mayurinehate/PyHive

a7e106262b1cd61b9be869948574e23c96c16bc9

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import unicode_literals __version__ = '0.6.12'

25.5

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40c9ce98e8caea912ddf2f48445b662f87b9a913

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py

Python

tests/python/relax/test_transform_fuse_tir.py

psrivas2/relax

4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a

[ "Apache-2.0" ]

90

2021-11-30T11:58:10.000Z

2022-03-31T02:24:04.000Z

tests/python/relax/test_transform_fuse_tir.py

psrivas2/relax

4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a

[ "Apache-2.0" ]

64

2021-11-22T23:58:23.000Z

2022-03-31T03:19:22.000Z

tests/python/relax/test_transform_fuse_tir.py

psrivas2/relax

4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a

[ "Apache-2.0" ]

27

2021-12-09T22:39:27.000Z

2022-03-24T23:21:48.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import pytest import sys import tvm from tvm import topi from tvm import relax def _check(mod_before, mod_expected): mod = relax.transform.FuseTIR()(mod_before) tvm.ir.assert_structural_equal(mod, mod_expected) def test_simple(): def before(): bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) p0 = relax.Var("p0", (), relax.DynTensorType(0, "float32")) with bb.function("fused_add_exp_squeeze", [x, p0], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit_te(topi.add, x, p0) lv1 = bb.emit_te(topi.exp, lv0) gv = bb.emit_output(bb.call_te(topi.squeeze, lv1)) bb.emit_func_output(gv) fused_add_exp_squeeze = bb.get().get_global_var("fused_add_exp_squeeze") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x, p0]): with bb.dataflow(): gv = bb.emit_output(relax.Call(fused_add_exp_squeeze, [x, p0])) bb.emit_func_output(gv) return bb.get() def expected(): def fused_add_exp_squeeze(x, p0): add = topi.add(x, p0) exp = topi.exp(add) squeeze = topi.squeeze(exp) return squeeze bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) p0 = relax.Var("p0", (), relax.DynTensorType(0, "float32")) with bb.function("main", [x, p0]): with bb.dataflow(): gv = bb.emit_output(bb.call_te(fused_add_exp_squeeze, x, p0)) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_conv2d_fuse(): def before(dtype): bb = relax.BlockBuilder() tensor_type = relax.DynTensorType(4, dtype) # Grouped function 1 x = relax.Var("x", (1, 16, 64, 64), tensor_type) w = relax.Var("w", (16, 16, 3, 3), tensor_type) p0 = relax.Var("p0", (), relax.DynTensorType(0, dtype)) with bb.function("fused_conv2d_add1_add2", [x, w, p0], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit_te( topi.nn.conv2d, x, w, strides=1, padding=1, dilation=1, primfunc_name_hint="conv2d", ) lv1 = bb.emit_te(topi.add, p0, lv0, primfunc_name_hint="add1") gv = bb.emit_output(bb.call_te(topi.add, lv0, lv1, primfunc_name_hint="add2")) bb.emit_func_output(gv) # Grouped function 2 x = relax.Var("x", (1, 16, 64, 64), tensor_type) w = relax.Var("w", (16, 16, 1, 1), tensor_type) y = relax.Var("y", (1, 16, 64, 64), tensor_type) with bb.function("fused_conv2d1_add2", [x, w, y], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit_te( topi.nn.conv2d, x, w, strides=1, padding=0, dilation=1, primfunc_name_hint="conv2d1", ) gv = bb.emit_output(bb.call_te(topi.add, lv0, y, primfunc_name_hint="add2")) bb.emit_func_output(gv) # Get the global variables of the grouped functions mod = bb.get() fused_conv2d_add1_add2 = mod.get_global_var("fused_conv2d_add1_add2") fused_conv2d1_add2 = mod.get_global_var("fused_conv2d1_add2") # Main function x = relax.Var("x", (1, 16, 64, 64), tensor_type) w1 = relax.Var("w1", (16, 16, 3, 3), tensor_type) w2 = relax.Var("w2", (16, 16, 1, 1), tensor_type) w3 = relax.Var("w3", (16, 16, 3, 3), tensor_type) with bb.function("main", [x, w1, w2, w3]): with bb.dataflow(): lv0 = bb.emit_te(topi.add, x, relax.const(1, dtype)) lv1 = bb.emit(relax.Call(fused_conv2d_add1_add2, [lv0, w1, relax.const(1, dtype)])) lv2 = bb.emit_te( topi.nn.conv2d, lv1, w3, strides=1, padding=1, dilation=1, ) gv = bb.emit_output(relax.Call(fused_conv2d1_add2, [lv1, w2, lv2])) bb.emit_func_output(gv) return bb.get() def expected(dtype): def fused_conv2d_add1_add2(x, w, p): conv = topi.nn.conv2d(x, w, strides=1, padding=1, dilation=1) add = topi.add(p, conv) return topi.add(conv, add) def fused_conv2d1_add2(x, w, p): conv = topi.nn.conv2d(x, w, strides=1, padding=0, dilation=1) return topi.add(conv, p) bb = relax.BlockBuilder() tensor_type = relax.DynTensorType(4, dtype) # Main function x = relax.Var("x", (1, 16, 64, 64), tensor_type) w1 = relax.Var("w1", (16, 16, 3, 3), tensor_type) w2 = relax.Var("w2", (16, 16, 1, 1), tensor_type) w3 = relax.Var("w3", (16, 16, 3, 3), tensor_type) with bb.function("main", [x, w1, w2, w3]): with bb.dataflow(): lv0 = bb.emit_te(topi.add, x, relax.const(1, dtype)) lv1 = bb.emit_te(fused_conv2d_add1_add2, lv0, w1, relax.const(1, dtype)) lv2 = bb.emit_te( topi.nn.conv2d, lv1, w3, strides=1, padding=1, dilation=1, ) gv = bb.emit_output(bb.call_te(fused_conv2d1_add2, lv1, w2, lv2)) bb.emit_func_output(gv) return bb.get() _check(before("float32"), expected("float32")) def test_two_subfunction(): def before(): bb = relax.BlockBuilder() x1 = relax.Var("x1", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("fused_exp_squeeze", [x1], attrs={"Primitive": True}): with bb.dataflow(): lv1 = bb.emit_te(topi.exp, x1) gv = bb.emit_output(bb.call_te(topi.squeeze, lv1)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_exp_squeeze") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit(relax.Call(func_gv, [x])) lv2 = bb.emit(relax.Call(func_gv, [lv])) gv = bb.emit_output(lv2) bb.emit_func_output(gv) return bb.get() def expected(): def fused_exp_squeeze(x): exp = topi.exp(x) squeeze = topi.squeeze(exp) return squeeze bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit_te(fused_exp_squeeze, x) lv2 = bb.emit_te(fused_exp_squeeze, lv) gv = bb.emit_output(lv2) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_same_primfunc(): def before(): bb = relax.BlockBuilder() x1 = relax.Var("x1", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("fused_exp_exp_squeeze", [x1], attrs={"Primitive": True}): with bb.dataflow(): lv1 = bb.emit_te(topi.exp, x1) lv2 = bb.emit_te(topi.exp, lv1) gv = bb.emit_output(bb.call_te(topi.squeeze, lv2)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_exp_exp_squeeze") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit(relax.Call(func_gv, [x])) gv = bb.emit_output(lv) bb.emit_func_output(gv) return bb.get() def expected(): def fused_exp_exp_squeeze(x): exp = topi.exp(x) exp = topi.exp(exp) squeeze = topi.squeeze(exp) return squeeze bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit_te(fused_exp_exp_squeeze, x) gv = bb.emit_output(lv) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_with_tuple_as_param(): dyn_tensor_type = relax.DynTensorType(1, "float32") tuple_type = relax.TupleType([dyn_tensor_type, dyn_tensor_type]) tuple_shape = relax.Tuple([relax.ShapeExpr([10]), relax.ShapeExpr([10])]) def before(): bb = relax.BlockBuilder() x = relax.Var("x", tuple_shape, tuple_type) with bb.function("fused_exp_add", [x], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit(relax.TupleGetItem(x, 0)) lv1 = bb.emit(relax.TupleGetItem(x, 1)) lv2 = bb.emit_te(topi.exp, lv0) gv = bb.emit_output(bb.call_te(topi.add, lv2, lv1)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_exp_add") x = relax.Var("x", tuple_shape, tuple_type) with bb.function("main", [x]): with bb.dataflow(): gv = bb.emit_output(relax.Call(func_gv, [x])) bb.emit_func_output(gv) return bb.get() def expected(): def fused_exp_add(x1, x2): exp = topi.exp(x1) return topi.add(exp, x2) bb = relax.BlockBuilder() dyn_tensor_type = relax.DynTensorType(1, "float32") tuple_type = relax.TupleType([dyn_tensor_type, dyn_tensor_type]) tuple_shape = relax.Tuple([relax.ShapeExpr([10]), relax.ShapeExpr([10])]) x = relax.Var("x", tuple_shape, tuple_type) with bb.function("main", [x]): with bb.dataflow(): lv0 = bb.emit(relax.TupleGetItem(x, 0)) lv1 = bb.emit(relax.TupleGetItem(x, 1)) gv = bb.emit_output(bb.call_te(fused_exp_add, lv0, lv1)) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_with_nested_tuple_as_param(): dyn_tensor_type = relax.DynTensorType(1, "float32") tuple_type = relax.TupleType( [dyn_tensor_type, relax.TupleType([dyn_tensor_type, dyn_tensor_type])] ) shape = relax.ShapeExpr([10]) tuple_shape = relax.Tuple([shape, relax.Tuple([shape, shape])]) def before(): bb = relax.BlockBuilder() x = relax.Var("x", tuple_shape, tuple_type) with bb.function("fused_exp_add_add", [x], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit(relax.TupleGetItem(x, 0)) lv0_exp = bb.emit_te(topi.exp, lv0) lv1 = bb.emit(relax.TupleGetItem(x, 1)) lv1_0 = bb.emit(relax.TupleGetItem(lv1, 0)) lv1_1 = bb.emit(relax.TupleGetItem(lv1, 1)) lv2 = bb.emit_te(topi.add, lv1_0, lv1_1) gv = bb.emit_output(bb.call_te(topi.add, lv0_exp, lv2)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_exp_add_add") x = relax.Var("x", tuple_shape, tuple_type) with bb.function("main", [x]): with bb.dataflow(): gv = bb.emit_output(relax.Call(func_gv, [x])) bb.emit_func_output(gv) return bb.get() def expected(): def fused_exp_add_add(x1, x2, x3): exp = topi.exp(x1) add = topi.add(x2, x3) return topi.add(exp, add) bb = relax.BlockBuilder() x = relax.Var("x", tuple_shape, tuple_type) with bb.function("main", [x]): with bb.dataflow(): lv0 = bb.emit(relax.TupleGetItem(x, 0)) lv1 = bb.emit(relax.TupleGetItem(x, 1)) lv2 = bb.emit(relax.TupleGetItem(lv1, 0)) lv3 = bb.emit(relax.TupleGetItem(lv1, 1)) gv = bb.emit_output(bb.call_te(fused_exp_add_add, lv0, lv2, lv3)) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_with_call_tir_in_main(): def before(): bb = relax.BlockBuilder() x1 = relax.Var("x1", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("fused_exp_squeeze", [x1], attrs={"Primitive": True}): with bb.dataflow(): lv = bb.emit_te(topi.exp, x1) gv = bb.emit_output(bb.call_te(topi.squeeze, lv)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_exp_squeeze") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv0 = bb.emit(relax.Call(func_gv, [x])) lv1 = bb.emit_te(topi.add, lv0, relax.const(1, "float32")) gv = bb.emit_output(lv1) bb.emit_func_output(gv) return bb.get() def expected(): def fused_exp_squeeze(x): exp = topi.exp(x) squeeze = topi.squeeze(exp) return squeeze bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit_te(fused_exp_squeeze, x) lv2 = bb.emit_te(topi.add, lv, relax.const(1, "float32")) gv = bb.emit_output(lv2) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_with_const_in_argument(): def before(): bb = relax.BlockBuilder() x1 = relax.Var("x1", [10, 20], relax.DynTensorType(2, "float32")) x2 = relax.Var("x2", [], relax.DynTensorType(0, "float32")) with bb.function("fused_add_exp_squeeze", [x1, x2], attrs={"Primitive": True}): with bb.dataflow(): lv0 = bb.emit_te(topi.add, x1, x2) lv1 = bb.emit_te(topi.exp, lv0) gv = bb.emit_output(bb.call_te(topi.squeeze, lv1)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_add_exp_squeeze") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit(relax.Call(func_gv, [x, relax.const(1, "float32")])) gv = bb.emit_output(lv) bb.emit_func_output(gv) return bb.get() def expected(): def fused_add_exp_squeeze(x, y): add = topi.add(x, y) exp = topi.exp(add) squeeze = topi.squeeze(exp) return squeeze bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x]): with bb.dataflow(): lv = bb.emit_te(fused_add_exp_squeeze, x, relax.const(1, "float32")) gv = bb.emit_output(lv) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_tuple_output(): def before(): bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) p0 = relax.Var("p0", (), relax.DynTensorType(0, "float32")) with bb.function("fused_add_exp", [x, p0], attrs={"Primitive": True}): with bb.dataflow(): gv0 = bb.emit_output(bb.call_te(topi.add, x, p0)) gv1 = bb.emit_output(bb.call_te(topi.exp, gv0)) bb.emit_func_output(relax.Tuple([gv0, gv1])) fused_add_exp = bb.get().get_global_var("fused_add_exp") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x, p0]): with bb.dataflow(): gv = bb.emit_output(relax.Call(fused_add_exp, [x, p0])) bb.emit_func_output(gv) return bb.get() def expected(): def fused_add_exp(x, p0): add = topi.add(x, p0) exp = topi.exp(add) return add, exp bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) p0 = relax.Var("p0", (), relax.DynTensorType(0, "float32")) with bb.function("main", [x, p0]): with bb.dataflow(): gv = bb.emit_output(bb.call_te(fused_add_exp, x, p0)) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_with_immediate_tuple(): def before(): bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) y = relax.Var("y", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("fused_add", [x, y], attrs={"Primitive": True}): with bb.dataflow(): lv_tuple = bb.emit(relax.Tuple([x, relax.Tuple([x, y])])) lv_x = bb.emit(relax.TupleGetItem(lv_tuple, 0)) lv0 = bb.emit(relax.TupleGetItem(lv_tuple, 1)) lv_y = bb.emit(relax.TupleGetItem(lv0, 1)) gv = bb.emit_output(bb.call_te(topi.add, lv_x, lv_y)) bb.emit_func_output(gv) fused_add = bb.get().get_global_var("fused_add") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) y = relax.Var("y", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x, y]): with bb.dataflow(): gv = bb.emit_output(relax.Call(fused_add, [x, y])) bb.emit_func_output(gv) return bb.get() def expected(): bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) y = relax.Var("y", [10, 20], relax.DynTensorType(2, "float32")) with bb.function("main", [x, y]): with bb.dataflow(): gv = bb.emit_output(bb.call_te(topi.add, x, y, primfunc_name_hint="fused_add")) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) def test_fuse_return_partial_result(): def te_argmax_idx_val(val): from tvm import te def f_combine(x, y): lhs = tvm.tir.Select((x[1] >= y[1]), x[0], y[0]) rhs = tvm.tir.Select((x[1] >= y[1]), x[1], y[1]) return lhs, rhs def f_identity(dtype0: tvm.DataType, dtype1: tvm.DataType): return tvm.tir.const(-1, dtype0), tvm.te.min_value(dtype1) argmax = te.comm_reducer(f_combine, f_identity, name="argmax") m, n = val.shape k = te.reduce_axis((0, n), "k") max_idx, max_val = te.compute( (m,), lambda i: argmax((k.var, val[i, k]), axis=k), name="argmax" ) return max_idx, max_val def before(): bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) offset = relax.Var("offset", [10], relax.DynTensorType(1, "int32")) with bb.function("fused_argmax_add", [x, offset], attrs={"Primitive": True}): with bb.dataflow(): lv = bb.emit_te(te_argmax_idx_val, x) idx = bb.emit(relax.TupleGetItem(lv, 0)) gv = bb.emit_output(bb.call_te(topi.add, idx, offset)) bb.emit_func_output(gv) mod = bb.get() func_gv = mod.get_global_var("fused_argmax_add") x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) offset = relax.Var("x", [10], relax.DynTensorType(1, "int32")) with bb.function("main", [x, offset]): with bb.dataflow(): gv = bb.emit_output(relax.Call(func_gv, [x, offset])) bb.emit_func_output(gv) return bb.get() def expected(): def fused_argmax_add(x, offset): idx, value = te_argmax_idx_val(x) idx = topi.add(idx, offset) return idx bb = relax.BlockBuilder() x = relax.Var("x", [10, 20], relax.DynTensorType(2, "float32")) offset = relax.Var("offset", [10], relax.DynTensorType(1, "int32")) with bb.function("main", [x, offset]): with bb.dataflow(): gv = bb.emit_output(bb.call_te(fused_argmax_add, x, offset)) bb.emit_func_output(gv) return bb.get() _check(before(), expected()) if __name__ == "__main__": sys.exit(pytest.main([__file__] + sys.argv[1:]))

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40ca55ae4ebf6727a09c5821a5885f0a918b79a4

79

py

Python

forecast/pipelines/__init__.py

ADGEfficiency/forecast

69d636d4fa081a81c70c18d2a3cb8a60db00b493

[ "MIT" ]

16

2018-08-10T09:28:52.000Z

2021-09-02T16:59:08.000Z

forecast/pipelines/__init__.py

l-leo/forecast

69d636d4fa081a81c70c18d2a3cb8a60db00b493

[ "MIT" ]

11

2019-02-20T14:19:49.000Z

2022-02-09T23:50:04.000Z

forecast/pipelines/__init__.py

l-leo/forecast

69d636d4fa081a81c70c18d2a3cb8a60db00b493

[ "MIT" ]

6

2019-01-24T08:59:40.000Z

2021-04-08T14:34:18.000Z

from .pipelines import * from .seasonality import * from .time_series import *

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py

Python

sanad_customisations/sanad_customisations/doctype/ticketing_and_travel_management/test_ticketing_and_travel_management.py

the-bantoo/sanad-customizations

2413134d5bb6ee0f87ce0e6ac57a9235814e76e9

[ "MIT" ]

null

sanad_customisations/sanad_customisations/doctype/ticketing_and_travel_management/test_ticketing_and_travel_management.py

the-bantoo/sanad-customizations

2413134d5bb6ee0f87ce0e6ac57a9235814e76e9

[ "MIT" ]

null

sanad_customisations/sanad_customisations/doctype/ticketing_and_travel_management/test_ticketing_and_travel_management.py

the-bantoo/sanad-customizations

2413134d5bb6ee0f87ce0e6ac57a9235814e76e9

[ "MIT" ]

1

2022-01-30T15:19:10.000Z

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6

90556bf73579522da9e1e8b38cb279ee8f614c9f

8,422

py

Python

CureIAM/workers.py

gojek/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

17

2021-11-10T08:32:31.000Z

2022-03-03T12:20:38.000Z

CureIAM/workers.py

gojekfarm/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

null

CureIAM/workers.py

gojekfarm/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

3

2021-11-11T17:20:16.000Z

2021-12-02T20:00:34.000Z

"""Worker functions. """ import logging from CureIAM import util _log = logging.getLogger(__name__) def cloud_worker(audit_key, audit_version, plugin_key, plugin_config, output_queues): """Worker function for cloud plugins. This function instantiates a plugin object from the ``plugin_config`` dictionary. This function expects the plugin object to implement a ``read`` method that yields records. This function calls this ``read`` method to retrieve records and puts each record into each queue in ``output_queues``. Arguments: audit_key (str): Audit key name in configuration. audit_version (str): Audit version string. plugin_key (str): Plugin key name in configuration. plugin_config (dict): Cloud plugin config dictionary. output_queues (list): List of :class:`multiprocessing.Queue` objects to write records to. """ worker_name = audit_key + '_' + plugin_key _log.info('cloud_worker: %s: Started', worker_name) try: plugin = util.load_plugin(plugin_config) for record in plugin.read(): record['com'] = util.merge_dicts(record.get('com', {}), { 'audit_key': audit_key, 'audit_version': audit_version, 'origin_key': plugin_key, 'origin_class': type(plugin).__name__, 'origin_worker': worker_name, 'origin_type': 'cloud', }) for q in output_queues: q.put(record) plugin.done() except Exception as e: _log.exception('cloud_worker: %s: Failed; error: %s: %s', worker_name, type(e).__name__, e) _log.info('cloud_worker: %s: Stopped', worker_name) def processor_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue, output_queues): """Worker function for processor plugins. This function instantiates a plugin object from the ``plugin_config`` dictionary. This function expects the plugin object to implement an ``eval`` method that accepts a single record as a parameter and yields one or more records, and a ``done`` method to perform cleanup work in the end. This function gets records from ``input_queue`` and passes each record to the ``eval`` method of the plugin object. Then it puts each record yielded by the ``eval`` method into each queue in ``output_queues``. When there are no more records in the ``input_queue``, i.e., once ``None`` is found in the ``input_queue``, this function calls the ``done`` method of the plugin object to indicate that record processing is over. Arguments: audit_key (str): Audit key name in configuration. audit_version (str): Audit version string. plugin_key (str): Plugin key name in configuration. plugin_config (dict): processor plugin config dictionary. input_queue (multiprocessing.Queue): Queue to read records from. output_queues (list): List of :class:`multiprocessing.Queue` objects to write records to. """ worker_name = audit_key + '_' + plugin_key _log.info('processor_worker: %s: Started', worker_name) try: plugin = util.load_plugin(plugin_config) except Exception as e: _log.exception('processor_worker: %s: Failed; error: %s: %s', worker_name, type(e).__name__, e) _log.info('processor_worker: %s: Stopped', worker_name) return while True: try: record = input_queue.get() if record is None: _log.info('processor_worker: %s: Stopping', worker_name) plugin.done() break for processor_record in plugin.eval(record): processor_record['com'] = \ util.merge_dicts(processor_record.get('com', {}), { 'audit_key': audit_key, 'audit_version': audit_version, 'origin_key': plugin_key, 'origin_class': type(plugin).__name__, 'origin_worker': worker_name, 'origin_type': 'processor', }) for q in output_queues: q.put(processor_record) except Exception as e: _log.exception('processor_worker: %s: Failed; error: %s: %s', worker_name, type(e).__name__, e) _log.info('processor_worker: %s: Stopped', worker_name) def store_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue): """Worker function for store plugins. This function instantiates a plugin object from the ``plugin_config`` dictionary. This function expects the plugin object to implement a ``write`` method that accepts a single record as a parameter and a ``done`` method to perform cleanup work in the end. This function gets records from ``input_queue`` and passes each record to the ``write`` method of the plugin object. When there are no more records in the ``input_queue``, i.e., once ``None`` is found in the ``input_queue``, this function calls the ``done`` method of the plugin object to indicate that record processing is over. Arguments: audit_key (str): Audit key name in configuration. audit_version (str): Audit version string. plugin_key (str): Plugin key name in configuration. plugin_config (dict): Store plugin config dictionary. input_queue (multiprocessing.Queue): Queue to read records from. """ _write_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue, 'store') def alert_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue): """Worker function for alert plugins. This function behaves like :func:`CureIAM.workers.store_worker`. See its documentation for details. Arguments: audit_key (str): Audit key name in configuration. audit_version (str): Audit version string. plugin_key (str): Plugin key name in configuration. plugin_config (dict): Alert plugin config dictionary. input_queue (multiprocessing.Queue): Queue to read records from. """ _write_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue, 'alert') def _write_worker(audit_key, audit_version, plugin_key, plugin_config, input_queue, worker_type): """Worker function for store and alert plugins. Arguments: audit_key (str): Audit key name in configuration audit_version (str): Audit version string. plugin_key (str): Plugin key name in configuration. plugin_config (dict): Store or alert plugin config dictionary. input_queue (multiprocessing.Queue): Queue to read records from. worker_type (str): Either ``'store'`` or ``'alert'``. """ worker_name = audit_key + '_' + plugin_key _log.info('%s_worker: %s: Started', worker_type, worker_name) try: plugin = util.load_plugin(plugin_config) except Exception as e: _log.exception('%s_worker: %s: Failed; error: %s: %s', worker_type, worker_name, type(e).__name__, e) _log.info('%s_worker: %s: Stopped', worker_type, worker_name) return while plugin is not None: try: record = input_queue.get() if record is None: _log.info('%s_worker: %s: Stopping', worker_type, worker_name) plugin.done() break record['com'] = util.merge_dicts(record.get('com', {}), { 'audit_key': audit_key, 'audit_version': audit_version, 'target_key': plugin_key, 'target_class': type(plugin).__name__, 'target_worker': worker_name, 'target_type': worker_type, }) plugin.write(record) except Exception as e: _log.exception('%s_worker: %s: Failed; error: %s: %s', worker_type, worker_name, type(e).__name__, e) _log.info('%s_worker: %s: Stopped', worker_type, worker_name)

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6

90a0352b231b74d8151079f3d16e146f70cdd82a

107

py

Python

{{cookiecutter.project_slug}}/app/services/__init__.py

youngsoul/cookiecutter-flask-creative-tim-starter

6ad544a06b1ad4f35e39122a1198bcd84b6d064e

[ "MIT" ]

null

{{cookiecutter.project_slug}}/app/services/__init__.py

youngsoul/cookiecutter-flask-creative-tim-starter

6ad544a06b1ad4f35e39122a1198bcd84b6d064e

[ "MIT" ]

null

{{cookiecutter.project_slug}}/app/services/__init__.py

youngsoul/cookiecutter-flask-creative-tim-starter

6ad544a06b1ad4f35e39122a1198bcd84b6d064e

[ "MIT" ]

null

from flask import Blueprint auth_bp = Blueprint('auth', __name__) from app.services import auth_services

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py

Python

pylie/__init__.py

tussedrotten/pylie

df34b820b9d9273bc9c4287e559e5d5837faf794

[ "BSD-3-Clause" ]

6

2020-09-25T07:38:00.000Z

2022-03-11T09:09:22.000Z

pylie/__init__.py

tussedrotten/pylie

df34b820b9d9273bc9c4287e559e5d5837faf794

[ "BSD-3-Clause" ]

1

2020-10-29T08:39:34.000Z

2021-02-09T14:07:09.000Z

pylie/__init__.py

tussedrotten/pylie

df34b820b9d9273bc9c4287e559e5d5837faf794

[ "BSD-3-Clause" ]

1

2020-11-21T12:33:44.000Z

from pylie.so2 import SO2 from pylie.se2 import SE2 from pylie.so3 import SO3 from pylie.se3 import SE3

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90f38db8467d98cd579e015af1b1eb6245a01aa4

28

py

Python

serverless_crud/graphql/__init__.py

epsylabs/python-serverless-crud

71a79c4eb86e177a543e0af90c1dcf839996be34

[ "MIT" ]

null

serverless_crud/graphql/__init__.py

epsylabs/python-serverless-crud

71a79c4eb86e177a543e0af90c1dcf839996be34

[ "MIT" ]

null

serverless_crud/graphql/__init__.py

epsylabs/python-serverless-crud

71a79c4eb86e177a543e0af90c1dcf839996be34

[ "MIT" ]

null

from .api import GraphQLAPI

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1

0

6

29005b96f42f8f70444bcc5417179f7bcca05d85

26,071

py

Python

main.py

bilzkaist/APPLE

0d887c9d1571c92915ad5b442d54f103e5a0726d

[ "MIT" ]

null

main.py

bilzkaist/APPLE

0d887c9d1571c92915ad5b442d54f103e5a0726d

[ "MIT" ]

null

main.py

bilzkaist/APPLE

0d887c9d1571c92915ad5b442d54f103e5a0726d

[ "MIT" ]

null

#***************************************************************************** # # APPLE: Accelerating Particle filter for Positioning and Localization Estimation Code. # Written by Bilal Dastagir and Omer Tariq. # Feb, 1st, 2022 # #****************************************************************************** from __future__ import absolute_import import random import math import bisect import time as tm from apple import * from draw import Maze #Global Variables BETA = [0] ALPHA = [1] BRAVO = [2] CHARLIE = [3] PARTICLESNEW = 0 PARTICLESOLD = 1 """ # Smaller maze maze_data = ( ( 2, 0, 1, 0, 0 ), ( 0, 0, 0, 0, 1 ), ( 1, 1, 1, 0, 0 ), ( 1, 0, 0, 0, 0 ), ( 0, 0, 2, 0, 1 )) """ # 0 - empty square # 1 - occupied square # 2 - occupied square with a beacon at each corner, detectable by the robot maze_data_Original = ( ( 1, 1, 0, 0, 2, 0, 0, 0, 0, 1 ), ( 1, 2, 0, 0, 1, 1, 0, 0, 0, 0 ), ( 0, 1, 1, 0, 0, 0, 0, 1, 0, 1 ), ( 0, 0, 0, 0, 1, 0, 0, 1, 1, 2 ), ( 1, 1, 0, 1, 1, 2, 0, 0, 1, 0 ), ( 1, 1, 1, 0, 1, 1, 1, 0, 2, 0 ), ( 2, 0, 0, 0, 0, 0, 0, 0, 0, 0 ), ( 1, 2, 0, 1, 1, 1, 1, 0, 0, 0 ), ( 0, 0, 0, 0, 1, 0, 0, 0, 1, 0 ), ( 0, 0, 1, 0, 0, 2, 1, 1, 1, 0 )) maze_data = ( ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 2, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ) maze_data_bk = ( ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 0, 0, 2, 1, 1, 1, 1, 1, 1, 1, 0, 0, 2, 1, 1, 1, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 1, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 1, 1, 1, 1, 2, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 0, 0, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ( 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), ) PARTICLE_COUNT = 2000 # Total number of particles ROBOT_HAS_COMPASS = True # Does the robot know where north is? If so, it # makes orientation a lot easier since it knows which direction it is facing. # If not -- and that is really fascinating -- the particle filter can work # out its heading too, it just takes more particles and more time. Try this # with 3000+ particles, it obviously needs lots more hypotheses as a particle # now has to correctly match not only the position but also the heading. # ------------------------------------------------------------------------ # Some utility functions def add_noise(level, *coords): return [x + random.uniform(-level, level) for x in coords] def add_little_noise(*coords): return add_noise(0.02, *coords) def add_some_noise(*coords): return add_noise(0.1, *coords) # This is just a gaussian kernel I pulled out of my hat, to transform # values near to robbie's measurement => 1, further away => 0 sigma2 = 0.9 ** 2 def w_gauss(a, b): error = a - b g = math.e ** -(error ** 2 / (2 * sigma2)) return g # ------------------------------------------------------------------------ def compute_mean_point(particles, world): """ Compute the mean for all particles that have a reasonably good weight. This is not part of the particle filter algorithm but rather an addition to show the "best belief" for current position. """ m_x, m_y, m_count = 0, 0, 0 for p in particles: m_count += p.w m_x += p.x * p.w m_y += p.y * p.w if m_count == 0: return -1, -1, False m_x /= m_count m_y /= m_count # Now compute how good that mean is -- check how many particles # actually are in the immediate vicinity m_count = 0 for p in particles: if world.distance(p.x, p.y, m_x, m_y) < 1: m_count += 1 return m_x, m_y, m_count > PARTICLE_COUNT * 0.95 # ------------------------------------------------------------------------ class WeightedDistribution(object): def __init__(self, state): accum = 0.0 self.state = [p for p in state if p.w > 0] self.distribution = [] for x in self.state: accum += x.w self.distribution.append(accum) def pick(self): try: return self.state[bisect.bisect_left(self.distribution, random.uniform(0, 1))] except IndexError: # Happens when all particles are improbable w=0 return None # ------------------------------------------------------------------------ class Particle(object): def __init__(self, x, y, heading=None, w=1, noisy=False): if heading is None: heading = random.uniform(0, 360) if noisy: x, y, heading = add_some_noise(x, y, heading) self.x = x self.y = y self.h = heading self.w = w def __repr__(self): return "(%f, %f, w=%f)" % (self.x, self.y, self.w) @property def xy(self): return self.x, self.y @property def xyh(self): return self.x, self.y, self.h @classmethod def create_random(cls, count, maze): return [cls(*maze.random_free_place()) for _ in range(0, count)] def read_sensor(self, maze): """ Find distance to nearest beacon. """ return maze.distance_to_nearest_beacon(*self.xy) def advance_by(self, speed, checker=None, noisy=False): h = self.h if noisy: speed, h = add_little_noise(speed, h) h += random.uniform(-3, 3) # needs more noise to disperse better r = math.radians(h) dx = math.sin(r) * speed dy = math.cos(r) * speed if checker is None or checker(self, dx, dy): self.move_by(dx, dy) return True return False def move_by(self, x, y): self.x += x self.y += y # ------------------------------------------------------------------------ class Robot(Particle): speed = 0.2 def __init__(self, maze): super(Robot, self).__init__(*maze.random_free_place(), heading=90) self.chose_random_direction() self.step_count = 0 def chose_random_direction(self): heading = random.uniform(0, 360) self.h = heading def read_sensor(self, maze): """ Poor robot, it's sensors are noisy and pretty strange, it only can measure the distance to the nearest beacon(!) and is not very accurate at that too! """ return add_little_noise(super(Robot, self).read_sensor(maze))[0] def move(self, maze): """ Move the robot. Note that the movement is stochastic too. """ while True: self.step_count += 1 if self.advance_by(self.speed, noisy=True, checker=lambda r, dx, dy: maze.is_free(r.x+dx, r.y+dy)): break # Bumped into something or too long in same direction, # chose random new direction self.chose_random_direction() # ------------------------------------------------------------------------ def runSimulation(particlesOld,particleFlag): print("Simulation Started : ") world = Maze(maze_data) world.draw() totalTime = 0 start = tm.time() # initial distribution assigns each particle an equal probability if (particleFlag == PARTICLESNEW): particles = Particle.create_random(PARTICLE_COUNT, world) else: particles = particlesOld robbie = Robot(world) i = 0 while True: # pauseInitial= tm.time() i = i + 1 # Read robbie's sensor r_d = robbie.read_sensor(world) # Update particle weight according to how good every particle matches # robbie's sensor reading for p in particles: if world.is_free(*p.xy): p_d = p.read_sensor(world) p.w = w_gauss(r_d, p_d) else: p.w = 0 # ---------- Try to find current best estimate for display ---------- m_x, m_y, m_confident = compute_mean_point(particles, world) # ---------- Show current state ---------- world.show_particles(particles) world.show_mean(m_x, m_y, m_confident) world.show_robot(robbie) # ---------- Shuffle particles ---------- new_particles = [] # Normalise weights nu = sum(p.w for p in particles) if nu: for p in particles: p.w = p.w / nu # create a weighted distribution, for fast picking dist = WeightedDistribution(particles) for _ in particles: p = dist.pick() if p is None: # No pick b/c all totally improbable new_particle = Particle.create_random(1, world)[0] else: new_particle = Particle(p.x, p.y, heading=robbie.h if ROBOT_HAS_COMPASS else p.h, noisy=True) new_particles.append(new_particle) particles = new_particles # ---------- Move things ---------- old_heading = robbie.h robbie.move(world) d_h = robbie.h - old_heading # Move particles according to my belief of movement (this may # be different than the real movement, but it's all I got) for p in particles: p.h += d_h # in case robot changed heading, swirl particle heading too p.advance_by(robbie.speed) #pauseFinal = tm.time() # executionTime = (pauseFinal - pauseInitial) if(m_confident): break # else: # print("Loop = ",i ," ->The Execution Time = ", executionTime) stop = tm.time() executionTimeFinal = (stop - start) #print("Particles = ", particles) print("The Total Execution Time = ", executionTimeFinal, " Seconds") return particles def run_beta(): print("Beta Program is Started........... !!!") # Write code Here particles = runSimulation(0,PARTICLESNEW) #while True: # particles = runSimulation(particles,PARTICLESNEW) print("Beta Program is Ended Successfully !!!") return BETA def run_alpha(): print("Alpha Program is Started........... !!!") # Write code Here print("Alpha Program is Ended Successfully !!!") return ALPHA def run_bravo(): print("Bravo Program is Started........... !!!") # Write code Here print("Bravo Program is Ended Successfully !!!") return BRAVO def run_charlie(): print("Charlie Program is Started........... !!!") # Write code Here print("Charlie Program is Ended Successfully !!!") return CHARLIE def switch_mode(mode): # Program Started switcher = { 0: run_beta, 1: run_alpha, 2: run_bravo, 3: run_charlie } # Get the function from switcher dictionary func = switcher.get(mode, lambda: "Invalid mode") # Execute the function print("Mode Selected : ",func()) # Program Ended def run(): print("......................Main Program is Started........... !!!\n") # write coode here runMode = BETA if (runMode == ALPHA): run_alpha() else: run_beta() print("\n......................Main Program is Ended Successfully !!!") def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint. def print_bye(name): # Use a breakpoint in the code line below to debug your script. print(f'Bye, {name}') # Press Ctrl+F8 to toggle the breakpoint. # Press the green button in the gutter to run the script. if __name__ == '__main__': print_hi(' Bilal Dastagir') run() print_bye('Bilal Dastagir')

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6,018

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1.093245

1.431779

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1

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1

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null

0

6

29445f80be94360613cce6ceb2428aa2c26804f6

300

py

Python

unshortenit/modules/__init__.py

animeshxd/unshortenit

31e2772d5de0de5bda222e1b5437d114a1c483d6

[ "MIT" ]

55

2015-04-13T20:44:35.000Z

2021-11-15T11:26:25.000Z

unshortenit/modules/__init__.py

DorHayun/URL-expander

8bd550d5371db4ae53a32a688ef7ca698e82c527

[ "MIT" ]

24

2015-09-13T15:14:12.000Z

2021-11-04T14:59:30.000Z

unshortenit/modules/__init__.py

DorHayun/get-license-by-url

b5ace7c63ba4b9c906fac90245e6e7103abbeb69

[ "MIT" ]

20

2015-02-19T07:10:16.000Z

2022-02-21T00:07:35.000Z

from .adfly import AdfLy # noqa from .adfocus import AdFocus # noqa from .shortest import ShorteSt # noqa from .meta_refresh import MetaRefresh # noqa from .linkbucks import LinkBucks # noqa

50

59

0.503333

26

300

5.769231

0.384615

0.213333

0

0.463333

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null

0

1

0

1

0

1

0

6

297fcb11231082e1874c007e13921f9298a0e202

95

py

Python

test_availability.py

rtavenar/uea_datasets_availability

8222408402b1a10b8709d4fd9f2ccf5d78a7ad6e

[ "BSD-2-Clause" ]

1

2019-06-04T15:44:48.000Z

test_availability.py

rtavenar/uea_datasets_availability

8222408402b1a10b8709d4fd9f2ccf5d78a7ad6e

[ "BSD-2-Clause" ]

null

test_availability.py

rtavenar/uea_datasets_availability

8222408402b1a10b8709d4fd9f2ccf5d78a7ad6e

[ "BSD-2-Clause" ]

1

2020-01-09T07:32:59.000Z

from tslearn.datasets import UCR_UEA_datasets print(len(UCR_UEA_datasets().list_datasets()))

19

46

0.821053

14

95

5.214286

0.642857

0.164384

0.383562

0

0.073684

95

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true

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1

0

null

0

1

0

1

0

1

0

6

461d3d5c6dc2d58d7fffefec4697a1ec1160ee15

509

py

Python

cpc/type/VoidType.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

1

2021-05-09T07:10:19.000Z

cpc/type/VoidType.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

null

cpc/type/VoidType.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

null

from .Type import Type class VoidType(Type): def __init__(self): pass def is_void(self): return True def size(self): return 1 def equals(self,other): return isinstance(other,VoidType) def is_same_type(self, other): return other.is_void() def is_compatible(self,other): return other.is_void() def is_castable_to(self,other): return other.is_void() def to_string(self): return "void"

19.576923

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509

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509

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19.576923

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null

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0

null

0

1

0

1

0

1

0

6

462187f5e25546d0c014f69efb383929ddae1ec3

168

py

Python

diff_cover/__init__.py

LuyaoHuang/diff-cover

64d7dbf4a4e5cd7d048087891df8be541e01be5a

[ "Apache-2.0" ]

1

2019-09-24T02:30:39.000Z

diff_cover/__init__.py

yafu-1/diff-cover

64d7dbf4a4e5cd7d048087891df8be541e01be5a

[ "Apache-2.0" ]

null

diff_cover/__init__.py

yafu-1/diff-cover

64d7dbf4a4e5cd7d048087891df8be541e01be5a

[ "Apache-2.0" ]

1

2019-09-06T06:44:09.000Z

VERSION = '0.9.9' DESCRIPTION = 'Automatically find diff lines that need test coverage.' QUALITY_DESCRIPTION = 'Automatically find diff lines with quality violations.'

42

78

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0.424242

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168

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null

1

0

1

0

1

0

null

0

6

463ccfc0f165839f81f22d3d1cdfdff080d3185c

129

py

Python

lib/JumpScale/lib/kvm/__init__.py

Jumpscale/jumpscale6_core

0502ddc1abab3c37ed982c142d21ea3955d471d3

[ "BSD-2-Clause" ]

1

2015-10-26T10:38:13.000Z

lib/JumpScale/lib/lxc/__init__.py

Jumpscale/jumpscale6_core

0502ddc1abab3c37ed982c142d21ea3955d471d3

[ "BSD-2-Clause" ]

null

lib/JumpScale/lib/lxc/__init__.py

Jumpscale/jumpscale6_core

0502ddc1abab3c37ed982c142d21ea3955d471d3

[ "BSD-2-Clause" ]

null

from JumpScale import j j.base.loader.makeAvailable(j, 'system.platform.lxc') from Lxc import Lxc j.system.platform.lxc = Lxc()

21.5

53

0.767442

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129

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0.30303

0.363636

0

0.108527

129

5

54

25.8

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true

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1

0

1

0

null

0

1

0

1

0

6

465fbffa75176a91eb68fe3edb85aa114e85befe

36

py

Python

lnwYod/__init__.py

attaporn/lnwYod

0fc01a8f081f6f1c0b26e94dc212f4ccab62ebaf

[ "MIT" ]

null

lnwYod/__init__.py

attaporn/lnwYod

0fc01a8f081f6f1c0b26e94dc212f4ccab62ebaf

[ "MIT" ]

null

lnwYod/__init__.py

attaporn/lnwYod

0fc01a8f081f6f1c0b26e94dc212f4ccab62ebaf

[ "MIT" ]

null

from lnwYod.attaporn import Lnwyod

18

35

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5

36

6

0.8

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36

1

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null

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null

0

1

0

1

0

1

0

6

468a62738c5d3c36ec7e9678c4e4311162cdfe94

101

py

Python

gym_connect_four/envs/__init__.py

andreigann/gym-connect-four

be93dc621aa5c57063a4aac8733ddb30dfb858c6

[ "MIT" ]

null

gym_connect_four/envs/__init__.py

andreigann/gym-connect-four

be93dc621aa5c57063a4aac8733ddb30dfb858c6

[ "MIT" ]

7

2020-09-25T20:35:50.000Z

2022-02-10T00:28:02.000Z

gym_connect_four/envs/__init__.py

andreigann/gym-connect-four

be93dc621aa5c57063a4aac8733ddb30dfb858c6

[ "MIT" ]

null

from gym_connect_four.envs.connect_four_env import ConnectFourEnv, Player, RandomPlayer, SavedPlayer

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6

d3bbcb8962e05ded4620c1f20f28bc4cd383d141

20,946

py

Python

tests/grid/test_datasets.py

gordonwatts/desktop-rucio

eb62fa767587685166796e996cf96107c57c5df0

[ "MIT" ]

null

tests/grid/test_datasets.py

gordonwatts/desktop-rucio

eb62fa767587685166796e996cf96107c57c5df0

[ "MIT" ]

7

2019-05-05T05:03:38.000Z

2019-06-30T13:56:37.000Z

tests/grid/test_datasets.py

gordonwatts/desktop-rucio

eb62fa767587685166796e996cf96107c57c5df0

[ "MIT" ]

null

# Test out everything with datasets. from src.grid.datasets import dataset_mgr, DatasetQueryStatus from src.grid.rucio import RucioException from tests.grid.utils_for_tests import simple_dataset, dummy_logger from time import sleep import datetime import os import pytest @pytest.fixture() def rucio_2file_dataset(simple_dataset): class rucio_dummy: def __init__(self, ds): self._ds = ds self.CountCalled = 0 self.CountCalledDL = 0 self._cache_mgr = None def get_file_listing(self, ds_name, log_func = None): self.CountCalled += 1 if ds_name == self._ds.Name: return self._ds.FileList return None def download_files(self, ds_name, data_dir, log_func = None): if self._cache_mgr is not None: self._cache_mgr.add_ds(self._ds) if log_func is not None: log_func('downloading ' + ds_name) self.CountCalledDL += 1 return rucio_dummy(simple_dataset) @pytest.fixture() def rucio_do_nothing(): class rucio_dummy: def __init__(self): self.CountCalled = 0 self.CountCalledDL = 0 def get_file_listing(self, ds_name, log_func = None): self.CountCalled += 1 sleep(1) return None def download_files(self, ds_name, data_dir, log_func = None): self.CountCalledDL += 1 sleep(1) return rucio_dummy() @pytest.fixture() def rucio_2file_dataset_take_time(simple_dataset): class rucio_dummy: def __init__(self, ds): self._ds = ds self.CountCalled = 0 self.CountCalledDL = 0 self._cache_mgr = None self.DLCalled = False def get_file_listing(self, ds_name, log_func = None): sleep(0.005) self.CountCalled += 1 if ds_name == self._ds.Name: return self._ds.FileList return None def download_files(self, ds_name, data_dir, log_func = None): self.DLCalled = True sleep(0.005) if self._cache_mgr is not None: self._cache_mgr.add_ds(self._ds) self.CountCalledDL += 1 return rucio_dummy(simple_dataset) @pytest.fixture() def rucio_2file_dataset_with_fails(simple_dataset): class rucio_dummy: def __init__(self, ds): self._ds = ds self.CountCalled = 0 self.CountCalledDL = 0 self._cache_mgr = None self.DLSleep = None def get_file_listing(self, ds_name, log_func = None): self.CountCalled += 1 if self.CountCalled < 5: raise RucioException("Please Try again Due To Internet Being Out") if ds_name == self._ds.Name: return self._ds.FileList return None def download_files(self, ds_name, data_dir, log_func = None): self.CountCalledDL += 1 if self.DLSleep is not None: sleep(self.DLSleep) if self.CountCalledDL < 5: raise RucioException("Please try again due to internet being out") if self._cache_mgr is not None: self._cache_mgr.add_ds(self._ds) return rucio_dummy(simple_dataset) @pytest.fixture() def rucio_2file_dataset_shows_up_later(simple_dataset): class rucio_dummy: def __init__(self, ds): self._ds = ds self.CountCalled = 0 def get_file_listing(self, ds_name, log_func = None): self.CountCalled += 1 if self.CountCalled < 2: return None if ds_name == self._ds.Name: return self._ds.FileList return None return rucio_dummy(simple_dataset) @pytest.fixture() def cache_empty(): 'Create an empty cache that will save anything saved in it.' class cache_good_dummy(): def __init__(self): self._ds_list = {} self._in_progress = [] self._in_download = [] self._downloaded_ds = {} def get_download_directory(self): return 'totally-bogus' def add_ds(self, ds_info): self._downloaded_ds[ds_info.Name] = ds_info def get_listing(self, ds_name): if ds_name in self._ds_list: return self._ds_list[ds_name] return None def save_listing(self, ds_info): self._ds_list[ds_info.Name] = ds_info self._in_progress.remove(ds_info.Name) def mark_query(self, ds_name): self._in_progress.append(ds_name) def query_in_progress(self, ds_name): return ds_name in self._in_progress def get_queries(self): return self._in_progress def get_ds_contents(self, ds_name): if ds_name in self._downloaded_ds: return [f.filename for f in self._downloaded_ds[ds_name].FileList] return None def mark_downloading(self, ds_name): self._in_download.append(ds_name) def download_in_progress(self, ds_name): return ds_name in self._in_download def get_downloading(self): return self._in_download def mark_download_done(self, ds_name): self._in_download.remove(ds_name) return cache_good_dummy() @pytest.fixture() def cache_with_ds(cache_empty, simple_dataset): 'Create a cache with a dataset called dataset1' cache_empty.add_ds(simple_dataset) return cache_empty def test_dataset_query_queued(rucio_2file_dataset, cache_empty): 'Queue a dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) status, files = dm.get_ds_contents('a_dataset') # Should have queued the result since this was a new ds manager assert status == DatasetQueryStatus.query_queued assert None is files def wait_some_time(check): 'Simple method to wait until check returns false. Will wait up to about a second so as not to delay things before throwing an assert.' counter = 0 while check(): sleep(0.01) counter += 1 assert counter < 100 def test_dataset_query_resolved(rucio_2file_dataset, cache_empty, simple_dataset): 'Queue and look for a dataset query result' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.get_ds_contents(simple_dataset.Name) # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) # Now, make sure that we get back what we want here. status, files = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status assert len(simple_dataset.FileList) == len(files) # Make sure we didn't re-query for this. assert 1 == rucio_2file_dataset.CountCalled == 1 _ = cache_empty.get_listing(simple_dataset.Name) def test_query_for_bad_dataset(rucio_2file_dataset, cache_empty, simple_dataset): 'Ask for a bad dataset, and get back a null' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.get_ds_contents('bogus_ds') wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) # Make sure it comes back as bad. status, files = dm.get_ds_contents('bogus_ds') assert DatasetQueryStatus.does_not_exist == status assert None is files # Make sure that a timeout of an hour has been set on the dataset. info = cache_empty.get_listing('bogus_ds') assert datetime.datetime.now() == info.Created def test_look_for_good_dataset_that_fails_a_bunch(rucio_2file_dataset_with_fails, cache_empty, simple_dataset): 'Queue and look for a good dataset that takes a few queries to show up with results' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_with_fails, seconds_between_retries=0.01) _ = dm.get_ds_contents(simple_dataset.Name) # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset_with_fails.CountCalled < 5) # Now, make sure that we get back what we want and that the number of tries matches what we think # it should have. status, files = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status assert 5 == rucio_2file_dataset_with_fails.CountCalled def test_two_queries_for_good_dataset(rucio_2file_dataset_take_time, cache_empty, simple_dataset): 'Make sure second query does not trigger second web download' # Query twice, make sure we don't forget as we are doing this! dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_take_time) _ = dm.get_ds_contents(simple_dataset.Name) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.query_queued == status # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset_take_time.CountCalled == 0) # Now, make sure that we get back what we want here. status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status # Make sure we didn't re-query for this, and the expiration date is not set. # Make sure to wait long enough for other timing stuff above to fall apart. sleep(0.02) assert 1 == rucio_2file_dataset_take_time.CountCalled def test_dataset_appears(rucio_2file_dataset_shows_up_later, cache_empty, simple_dataset): 'After a bad dataset has aged, automatically queue a new query' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_shows_up_later) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset_shows_up_later.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.does_not_exist == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAgeIfNotSeen=datetime.timedelta(seconds=0)) assert DatasetQueryStatus.query_queued == status wait_some_time(lambda: rucio_2file_dataset_shows_up_later.CountCalled == 1) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status def test_dataset_always_missing_noretry(rucio_2file_dataset_shows_up_later, cache_empty, simple_dataset): 'Do not requery for the dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_shows_up_later) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset_shows_up_later.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.does_not_exist == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAgeIfNotSeen=None) assert DatasetQueryStatus.does_not_exist == status assert 1 == rucio_2file_dataset_shows_up_later.CountCalled def test_dataset_always_missing_longretry(rucio_2file_dataset_shows_up_later, cache_empty, simple_dataset): 'Do not requery for the dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_shows_up_later) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset_shows_up_later.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.does_not_exist == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAgeIfNotSeen=datetime.timedelta(seconds=1000)) assert DatasetQueryStatus.does_not_exist == status assert 1 == rucio_2file_dataset_shows_up_later.CountCalled def test_good_dataset_retry(rucio_2file_dataset, cache_empty, simple_dataset): 'Do a requery for the dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAge=datetime.timedelta(seconds=0)) assert DatasetQueryStatus.query_queued == status wait_some_time(lambda: rucio_2file_dataset.CountCalled == 1) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status assert 2 == rucio_2file_dataset.CountCalled def test_good_dataset_longretry(rucio_2file_dataset, cache_empty, simple_dataset): 'Do not requery for the dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAge=datetime.timedelta(seconds=1000)) assert DatasetQueryStatus.results_valid == status assert 1 == rucio_2file_dataset.CountCalled def test_good_dataset_maxAgeIfNotSeenNoEffect(rucio_2file_dataset, cache_empty, simple_dataset): 'Do not requery for the dataset' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status # Query, but demand a quick re-check status, _ = dm.get_ds_contents(simple_dataset.Name, maxAgeIfNotSeen=datetime.timedelta(seconds=0)) assert DatasetQueryStatus.results_valid == status assert 1 == rucio_2file_dataset.CountCalled def test_good_dataset_content_restart(rucio_do_nothing, rucio_2file_dataset, cache_empty, simple_dataset): dm0 = dataset_mgr(cache_empty, rucio_mgr=rucio_do_nothing) _ = dm0.get_ds_contents(simple_dataset.Name) wait_some_time(lambda: rucio_do_nothing.CountCalled == 0) # Start up a new one that should pick up the ball where it was dropped. dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) wait_some_time(lambda: rucio_2file_dataset.CountCalled == 0) # Now, make sure that we get back what we want here. status, _ = dm.get_ds_contents(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status def test_dataset_download_query(rucio_2file_dataset, cache_empty, simple_dataset): 'Queue a download and look for it to show up' dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) status, files = dm.download_ds(simple_dataset.Name) assert files is None assert DatasetQueryStatus.query_queued == status def test_dataset_download_good(rucio_2file_dataset, cache_empty, simple_dataset): 'Queue a download and look for it to show up' rucio_2file_dataset._cache_mgr = cache_empty dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.download_ds(simple_dataset.Name) # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset.CountCalledDL == 0) # Now, make sure that we get back what we want here. status, files = dm.download_ds(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status assert len(simple_dataset.FileList) == len(files) # Make sure we didn't re-query for this. assert 1 == rucio_2file_dataset.CountCalledDL def test_dataset_download_good_nodownload(rucio_2file_dataset, cache_empty, simple_dataset): 'Queue a download and look for it to show up' rucio_2file_dataset._cache_mgr = cache_empty dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) status, files = dm.download_ds(simple_dataset.Name, do_download=False) assert None is files assert DatasetQueryStatus.does_not_exist == status def test_dataset_download_no_exist(rucio_2file_dataset, cache_empty): 'Queue a download and look for it to show up' rucio_2file_dataset._cache_mgr = cache_empty dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) _ = dm.download_ds('bogus') # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset.CountCalledDL == 0) # Now, make sure that we get back what we want here. status, files = dm.download_ds('bogus') assert DatasetQueryStatus.does_not_exist == status assert None is files def test_dataset_download_with_failures(rucio_2file_dataset_with_fails, cache_empty, simple_dataset): 'Queue a download, it fails, but then gets there' rucio_2file_dataset_with_fails._cache_mgr = cache_empty dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_with_fails, seconds_between_retries=0.01) _ = dm.download_ds(simple_dataset.Name) # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset_with_fails.CountCalledDL < 5) # Now, make sure that we get back what we want here. status, files = dm.download_ds(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status assert len(simple_dataset.FileList) == len(files) # 2 failures, so make sure we re-try the right number of times assert 5 == rucio_2file_dataset_with_fails.CountCalledDL def test_dataset_download_good_ask_twice(rucio_2file_dataset_take_time, cache_empty, simple_dataset): 'Be impatient about asking how things are going' rucio_2file_dataset_take_time._cache_mgr = cache_empty dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_take_time) _ = dm.download_ds(simple_dataset.Name) # Ask again. status, _ = dm.download_ds(simple_dataset.Name) assert DatasetQueryStatus.query_queued == status # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset_take_time.CountCalledDL == 0) # Now, make sure that we get back what we want here. status, _ = dm.download_ds(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status # Make sure we didn't re-query for this. sleep(0.02) assert 1 == rucio_2file_dataset_take_time.CountCalledDL def test_dataset_download_logs(rucio_2file_dataset, cache_empty, simple_dataset): 'Queue a download and look for it to show up' rucio_2file_dataset._cache_mgr = cache_empty lg = dummy_logger() dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset, logger=lg) _ = dm.download_ds(simple_dataset.Name) # Wait for the dataset query to run wait_some_time(lambda: rucio_2file_dataset.CountCalledDL == 0) # Make sure some lines were sent to the logger assert len(lg.lines) > 0 def test_dataset_download_restart(rucio_do_nothing, rucio_2file_dataset, cache_empty, simple_dataset): rucio_2file_dataset._cache_mgr = cache_empty # Trigger the download on one. dm0 = dataset_mgr(cache_empty, rucio_mgr=rucio_do_nothing) _ = dm0.download_ds(simple_dataset.Name) wait_some_time(lambda: rucio_do_nothing.CountCalledDL == 0) # Next, create a second one with the same cache. dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset) wait_some_time(lambda: rucio_2file_dataset.CountCalledDL == 0) status, _ = dm.download_ds(simple_dataset.Name) assert DatasetQueryStatus.results_valid == status def test_dataset_download_restart_and_marked(rucio_do_nothing, rucio_2file_dataset_with_fails, cache_empty, simple_dataset): rucio_2file_dataset_with_fails._cache_mgr = cache_empty rucio_2file_dataset_with_fails.DLSleep = 0.05 # Trigger the download on one. dm0 = dataset_mgr(cache_empty, rucio_mgr=rucio_do_nothing) _ = dm0.download_ds(simple_dataset.Name) wait_some_time(lambda: rucio_do_nothing.CountCalledDL == 0) # Next, create a second one with the same cache. dm = dataset_mgr(cache_empty, rucio_mgr=rucio_2file_dataset_with_fails, seconds_between_retries=0.05) wait_some_time(lambda: rucio_2file_dataset_with_fails.CountCalledDL < 2) assert cache_empty.download_in_progress(simple_dataset.Name) # wait_some_time(lambda: rucio_2file_dataset_with_fails.CountCalledDL == 0) # status, _ = dm.download_ds(simple_dataset.Name) # assert DatasetQueryStatus.results_valid == status def test_dataset_no_prefix(rucio_do_nothing, cache_with_ds): dm = dataset_mgr(cache_with_ds, rucio_mgr=rucio_do_nothing) status, files = dm.download_ds('dataset1') assert DatasetQueryStatus.results_valid == status assert 2 == len(files) assert 'f1.root' == files[0] def test_dataset_with_prefix(rucio_do_nothing, cache_with_ds): dm = dataset_mgr(cache_with_ds, rucio_mgr=rucio_do_nothing) status, files = dm.download_ds('dataset1', prefix='file://cache/') assert DatasetQueryStatus.results_valid == status assert 2 == len(files) assert 'file://cache/f1.root' == files[0]

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null

0

6

311fa7dc6c935021d952f8838d795c9a322840e7

603

py

Python

tests/test_utils.py

jovanzers/quart

63b49d509f6461f79b43f956831d7c9831067a0b

[ "MIT" ]

1,085

2017-11-12T10:56:50.000Z

2022-03-31T15:14:26.000Z

tests/test_utils.py

jovanzers/quart

63b49d509f6461f79b43f956831d7c9831067a0b

[ "MIT" ]

139

2017-12-04T09:22:48.000Z

2022-03-26T08:34:07.000Z

tests/test_utils.py

jovanzers/quart

63b49d509f6461f79b43f956831d7c9831067a0b

[ "MIT" ]

92

2017-12-08T09:55:02.000Z

2022-03-29T20:45:44.000Z

from __future__ import annotations from functools import partial from werkzeug.datastructures import Headers from quart.utils import decode_headers, encode_headers, is_coroutine_function def test_is_coroutine_function() -> None: async def async_func() -> None: pass assert is_coroutine_function(async_func) assert is_coroutine_function(partial(async_func)) def test_encode_headers() -> None: assert encode_headers(Headers({"Foo": "Bar"})) == [(b"foo", b"Bar")] def test_decode_headers() -> None: assert decode_headers([(b"foo", b"Bar")]) == Headers({"Foo": "Bar"})

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null

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6

3155e91a2fc2d1674120541e308e20596b92f18c

1,856

py

Python

payrolls/migrations/0006_auto_20190815_1359.py

aaronmatei/Payroll-System-Django

5605e6a152c56cd171c43dfd07ff0a99eea65b4d

[ "bzip2-1.0.6" ]

null

payrolls/migrations/0006_auto_20190815_1359.py

aaronmatei/Payroll-System-Django

5605e6a152c56cd171c43dfd07ff0a99eea65b4d

[ "bzip2-1.0.6" ]

null

payrolls/migrations/0006_auto_20190815_1359.py

aaronmatei/Payroll-System-Django

5605e6a152c56cd171c43dfd07ff0a99eea65b4d

[ "bzip2-1.0.6" ]

2

2020-09-08T07:12:34.000Z

2021-11-19T08:25:22.000Z

# Generated by Django 2.2.4 on 2019-08-15 10:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('payrolls', '0005_auto_20190815_0231'), ] operations = [ migrations.AlterField( model_name='employee', name='basic_salary', field=models.TextField(), ), migrations.AlterField( model_name='employee', name='gender', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='PAYE', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='gross_salary', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='net_salary', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='nhif_deductions', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='nssf_deductions', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='other_deductions', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='overtime', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='salary_advance', field=models.TextField(), ), migrations.AlterField( model_name='payrolls', name='taxable_income', field=models.TextField(), ), ]

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315d957ec9142eb894f6d4abf882eb9509e0d60c

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py

Python

test/test_admin.py

Noschvie/roundup

996377ed0d12c69a01c7565dc5f47d6fb0ccaf19

[ "MIT" ]

null

test/test_admin.py

Noschvie/roundup

996377ed0d12c69a01c7565dc5f47d6fb0ccaf19

[ "MIT" ]

null

test/test_admin.py

Noschvie/roundup

996377ed0d12c69a01c7565dc5f47d6fb0ccaf19

[ "MIT" ]

null

# # Copyright (C) 2007 Stefan Seefeld # All rights reserved. # For license terms see the file COPYING.txt. # from __future__ import print_function import unittest, os, shutil, errno, sys, difflib, cgi, re from roundup.admin import AdminTool from . import db_test_base from .test_mysql import skip_mysql from .test_postgresql import skip_postgresql #from roundup import instance # https://stackoverflow.com/questions/4219717/how-to-assert-output-with-nosetest-unittest-in-python # lightly modified from contextlib import contextmanager _py3 = sys.version_info[0] > 2 if _py3: from io import StringIO # py3 else: from StringIO import StringIO # py2 @contextmanager def captured_output(): new_out, new_err = StringIO(), StringIO() old_out, old_err = sys.stdout, sys.stderr try: sys.stdout, sys.stderr = new_out, new_err yield sys.stdout, sys.stderr finally: sys.stdout, sys.stderr = old_out, old_err def normalize_file(filename, skiplines = [ None ]): # https://stackoverflow.com/questions/4710067/using-python-for-deleting-a-specific-line-in-a-file with open(filename, "r+") as f: d = f.readlines() f.seek(0) for i in d: for skip in skiplines: if skip not in i: f.write(i) f.truncate() class AdminTest(object): backend = None def setUp(self): self.dirname = '_test_admin' def tearDown(self): try: shutil.rmtree(self.dirname) except OSError as error: if error.errno not in (errno.ENOENT, errno.ESRCH): raise def install_init(self, type="classic", settings="mail_domain=example.com," + "mail_host=localhost," + "tracker_web=http://test/," + "rdbms_name=rounduptest," + "rdbms_user=rounduptest," + "rdbms_password=rounduptest," + "rdbms_template=template0" ): ''' install tracker with settings for required config.ini settings. ''' admin=AdminTool() admin.force = True # force it to nuke existing tracker # Run under context manager to suppress output of help text. with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'install', type, self.backend, settings ] ret = admin.main() self.assertEqual(ret, 0) # nuke any existing database (mysql/postgreql) # possible method in case admin.force doesn't work #tracker = instance.open(self.dirname) #if tracker.exists(): # tracker.nuke() # initialize tracker with initial_data.py. Put password # on cli so I don't have to respond to prompting. sys.argv=['main', '-i', self.dirname, 'initialise', 'admin'] admin.force = True # force it to nuke existing database ret = admin.main() self.assertEqual(ret, 0) def testGet(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="foo bar"', 'assignedto=admin' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '1') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="bar foo bar"', 'assignedto=anonymous', 'superseder=1'] ret = self.admin.main() self.assertEqual(ret, 0) out = out.getvalue().strip() print(out) self.assertEqual(out, '2') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'get', 'assignedto', 'issue2' ] ret = self.admin.main() self.assertEqual(ret, 0) out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out, '2') self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'get', 'superseder', 'issue2' ] ret = self.admin.main() self.assertEqual(ret, 0) out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out, "['1']") self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'get', 'title', 'issue1'] ret = self.admin.main() self.assertEqual(ret, 0) out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out, '"foo bar"') ## why is capture inserting "?? self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'get', 'tile', 'issue1'] ret = self.admin.main() expected_err = 'Error: no such issue property "tile"' self.assertEqual(ret, 1) out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'get', 'title', 'issue'] ret = self.admin.main() expected_err = 'Error: "issue" not a node designator' self.assertEqual(ret, 1) out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) def testInit(self): import sys self.admin=AdminTool() sys.argv=['main', '-i', self.dirname, 'install', 'classic', self.backend] ret = self.admin.main() print(ret) self.assertTrue(ret == 0) self.assertTrue(os.path.isfile(self.dirname + "/config.ini")) self.assertTrue(os.path.isfile(self.dirname + "/schema.py")) def testInitWithConfig_ini(self): import sys from roundup.configuration import CoreConfig self.admin=AdminTool() sys.argv=['main', '-i', self.dirname, 'install', 'classic', self.backend] # create a config_ini.ini file in classic template templates=self.admin.listTemplates() config_ini_content = "[mail]\n# comment\ndebug = SendMail.LOG\n" config_ini_path = templates['classic']['path'] + '/config_ini.ini' config_ini_file = open(config_ini_path, "w") config_ini_file.write(config_ini_content) config_ini_file.close() try: ret = self.admin.main() finally: try: # ignore file not found os.remove(config_ini_path) except OSError as e: # FileNotFound exception under py3 if e.errno == 2: pass else: raise print(ret) self.assertTrue(ret == 0) self.assertTrue(os.path.isfile(self.dirname + "/config.ini")) self.assertTrue(os.path.isfile(self.dirname + "/schema.py")) config=CoreConfig(self.dirname) self.assertEqual(config['MAIL_DEBUG'], self.dirname + "/SendMail.LOG") def testFind(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.admin=AdminTool() self.install_init() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="foo bar"', 'assignedto=admin' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '1') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="bar foo bar"', 'assignedto=anonymous' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '2') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'find', 'issue', 'assignedto=1'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, "['1']") # Reopen the db closed by previous filter call self.admin=AdminTool() with captured_output() as (out, err): ''' 1,2 should return all entries that have assignedto either admin or anonymous ''' sys.argv=['main', '-i', self.dirname, 'find', 'issue', 'assignedto=1,2'] ret = self.admin.main() out = out.getvalue().strip() print(out) # out can be "['2', '1']" or "['1', '2']" # so eval to real list so Equal can do a list compare self.assertEqual(sorted(eval(out)), ['1', '2']) # Reopen the db closed by previous filter call self.admin=AdminTool() with captured_output() as (out, err): ''' 1,2 should return all entries that have assignedto either admin or anonymous ''' sys.argv=['main', '-i', self.dirname, 'find', 'issue', 'assignedto=admin,anonymous'] ret = self.admin.main() out = out.getvalue().strip() print(out) # out can be "['2', '1']" or "['1', '2']" # so eval to real list so Equal can do a list compare self.assertEqual(sorted(eval(out)), ['1', '2']) def testGenconfigUpdate(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys, filecmp self.admin=AdminTool() self.install_init() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'genconfig'] ret = self.admin.main() out = out.getvalue().strip() print(out) expected = "Not enough arguments supplied" self.assertTrue(expected in out) # Reopen the db closed by previous call self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'genconfig', self.dirname + "/config2.ini"] ret = self.admin.main() out = out.getvalue().strip() print(out) # FIXME get better successful test later. expected = "" self.assertTrue(expected in out) self.assertTrue(os.path.isfile(self.dirname + "/config2.ini")) # Files aren't the same. Lines need to be removed. # like user, web, backend etc. Genconfig generates a file # to be customized. #self.assertTrue(filecmp.cmp(self.dirname + "/config2.ini", # self.dirname + "/config.ini")) # Reopen the db closed by previous call self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'update', self.dirname + "/foo2.ini"] ret = self.admin.main() out = out.getvalue().strip() print(out) # FIXME get better successful test later. expected = "" self.assertTrue(expected in out) self.assertTrue(os.path.isfile(self.dirname + "/foo2.ini")) # Autogenerated date header is different. Remove it # so filecmp passes. normalize_file(self.dirname + "/foo2.ini", [ '# Autogenerated at' ]) normalize_file(self.dirname + "/config.ini", [ '# Autogenerated at' ]) self.assertTrue(filecmp.cmp(self.dirname + "/config.ini", self.dirname + "/foo2.ini")) def testCliParse(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.admin=AdminTool() self.install_init() # test partial command lookup fin -> calls find with captured_output() as (out, err): ''' assignedto is not a valid property=value, so report error. ''' sys.argv=['main', '-i', self.dirname, 'fin', 'issue', 'assignedto=1'] ret = self.admin.main() out = out.getvalue().strip() print(out) expected="[ '1' ]" self.assertTrue(expected, out) # Reopen the db closed by previous call self.admin=AdminTool() # test multiple matches with captured_output() as (out, err): ''' assignedto is not a valid property=value, so report error. ''' sys.argv=['main', '-i', self.dirname, 'f', 'issue', 'assignedto'] ret = self.admin.main() out = out.getvalue().strip() print(out) expected='Multiple commands match "f": filter, find' self.assertEqual(expected, out) # Reopen the db closed by previous call self.admin=AdminTool() # test broken command lookup xyzzy is not a valid command with captured_output() as (out, err): ''' assignedto is not a valid property=value, so report error. ''' sys.argv=['main', '-i', self.dirname, 'xyzzy', 'issue', 'assignedto'] ret = self.admin.main() out = out.getvalue().strip() print(out) expected=('Unknown command "xyzzy" ' '("help commands" for a list)') self.assertEqual(expected, out) # Reopen the db closed by previous call self.admin=AdminTool() # test for keyword=value check with captured_output() as (out, err): ''' assignedto is not a valid property=value, so report error. ''' sys.argv=['main', '-i', self.dirname, 'find', 'issue', 'assignedto'] ret = self.admin.main() out = out.getvalue().strip() print(out) expected='Error: argument "assignedto" not propname=value' self.assertTrue(expected in out) def testFilter(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.admin=AdminTool() self.install_init() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="foo bar"', 'assignedto=admin' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '1') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="bar foo bar"', 'assignedto=anonymous' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '2') # Reopen the db closed by previous filter call # test string - one results, one value, substring self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'filter', 'user', 'username=admin'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, "['1']") # Reopen the db closed by previous filter call # test string - two results, two values, substring self.admin=AdminTool() with captured_output() as (out, err): ''' a,n should return all entries that have an a and n so admin or anonymous ''' sys.argv=['main', '-i', self.dirname, 'filter', 'user', 'username=a,n'] ret = self.admin.main() out = out.getvalue().strip() print(out) # out can be "['2', '1']" or "['1', '2']" # so eval to real list so Equal can do a list compare self.assertEqual(sorted(eval(out)), ['1', '2']) # Reopen the db closed by previous filter call # test string - one result, two values, substring self.admin=AdminTool() with captured_output() as (out, err): ''' a,y should return all entries that have an a and y so anonymous ''' sys.argv=['main', '-i', self.dirname, 'filter', 'user', 'username=a,y'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, "['2']") # Reopen the db closed by previous filter call # test string - no results self.admin=AdminTool() with captured_output() as (out, err): ''' will return empty set as admin!=anonymous ''' sys.argv=['main', '-i', self.dirname, 'filter', 'user', 'username=admin,anonymous'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, "[]") # Reopen the db closed by previous filter call # test link using ids self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'filter', 'issue', 'assignedto=1,2'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(sorted(eval(out)), ['1', '2']) # Reopen the db closed by previous filter call # test link using names self.admin=AdminTool() with captured_output() as (out, err): ''' will return empty set as admin!=anonymous ''' sys.argv=['main', '-i', self.dirname, 'filter', 'issue', 'assignedto=admin,anonymous'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(sorted(eval(out)), ['1', '2']) # Reopen the db closed by previous filter call # # case: transitive property valid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'filter', 'issue', 'assignedto.roles=Anonymous'] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, "['2']") # Reopen the db closed by previous filter call # self.admin=AdminTool() # case: transitive propery invalid prop self.admin=AdminTool() with captured_output() as (out, err): ''' assignedto is not a valid property=value, so report error. ''' sys.argv=['main', '-i', self.dirname, 'filter', 'issue', 'assignedto.badprop=Admin'] ret = self.admin.main() out = out.getvalue().strip() expected='Error: Class user has no property badprop in assignedto.badprop.' print(out[0:len(expected)]) self.assertEqual(expected, out[0:len(expected)]) # Reopen the db closed by previous filter call # # case: transitive property invalid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'filter', 'issue', 'assignedto.username=NoNAme'] ret = self.admin.main() out = out.getvalue().strip() print("me: " + out) print(err.getvalue().strip()) self.assertEqual(out, "[]") # Reopen the db closed by previous filter call # # case: transitive property invalid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, '-c', 'filter', 'issue', 'assignedto.username=NoNAme'] ret = self.admin.main() out = out.getvalue().strip() print("me: " + out) print(err.getvalue().strip()) self.assertEqual(out, "") # Reopen the db closed by previous filter call # # case: transitive property invalid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, '-c', 'filter', 'issue', 'assignedto.username=A'] ret = self.admin.main() out = out.getvalue().strip() print("me: " + out) print(err.getvalue().strip()) self.assertEqual(out, "1,2") # Reopen the db closed by previous filter call # # case: transitive property invalid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, '-s', 'filter', 'issue', 'assignedto.username=A'] ret = self.admin.main() out = out.getvalue().strip() print("me: " + out) print(err.getvalue().strip()) self.assertEqual(out, "1 2") # Reopen the db closed by previous filter call # # case: transitive property invalid match self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, '-S', ':', '-d', 'filter', 'issue', 'assignedto.username=A'] ret = self.admin.main() out = out.getvalue().strip() print("me: " + out) print(err.getvalue().strip()) self.assertEqual(out, "issue1:issue2") def disabletestHelpInitopts(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'help', 'initopts'] ret = self.admin.main() out = out.getvalue().strip() expected = [ 'Templates: minimal, jinja2, classic, responsive, devel', 'Back ends: anydbm, sqlite' ] print(out) self.assertTrue(expected[0] in out) self.assertTrue("Back ends:" in out) def testSet(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="foo bar"', 'assignedto=admin' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '1') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="bar foo bar"', 'assignedto=anonymous' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '2') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2', 'title="new title"'] ret = self.admin.main() out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(len(out), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2', 'tile="new title"'] ret = self.admin.main() expected_err = "Error: 'tile' is not a property of issue" out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2'] ret = self.admin.main() expected_err = "Error: Not enough arguments supplied" out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2,issue1,issue', "status=1" ] ret = self.admin.main() expected_err = 'Error: "issue" not a node designator' out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2,issue1,user2', "status=1" ] ret = self.admin.main() expected_err = "Error: 'status' is not a property of user" out = out.getvalue().strip() err = err.getvalue().strip() print(out) print(expected_err) print(err) self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue2,issue1,issue1000', "status=1" ] ret = self.admin.main() expected_err = 'Error: no such issue 1000' out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out.index(expected_err), 0) self.assertEqual(len(err), 0) def testSetOnClass(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="foo bar"', 'assignedto=admin' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '1') self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'create', 'issue', 'title="bar foo bar"', 'assignedto=anonymous' ] ret = self.admin.main() out = out.getvalue().strip() print(out) self.assertEqual(out, '2') # Run this test in a separate test. # It can cause a database timeout/resource # unavailable error for anydbm when run with other tests. # Not sure why. # Set assignedto=2 for all issues ## verify that issue 1 and 2 are assigned to user1 and user2 self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'issue', 'assignedto'] ret = self.admin.main() expected = "Assignedto\n1 \n2" out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out, expected) self.assertEqual(len(err), 0) self.admin=AdminTool() # do the set with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'set', 'issue', 'assignedto=2'] ret = self.admin.main() expected_err = "" out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(len(out), 0) self.assertEqual(len(err), 0) ## verify that issue 1 and 2 are assigned to user2 and user2 self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'issue', 'assignedto'] ret = self.admin.main() expected = "Assignedto\n2 \n2" out = out.getvalue().strip() err = err.getvalue().strip() self.assertEqual(out, expected) self.assertEqual(len(err), 0) def testSpecification(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() spec= [ 'username: <roundup.hyperdb.String> (key property)', 'alternate_addresses: <roundup.hyperdb.String>', 'realname: <roundup.hyperdb.String>', 'roles: <roundup.hyperdb.String>', 'organisation: <roundup.hyperdb.String>', 'queries: <roundup.hyperdb.Multilink to "query">', 'phone: <roundup.hyperdb.String>', 'address: <roundup.hyperdb.String>', 'timezone: <roundup.hyperdb.String>', 'password: <roundup.hyperdb.Password>', ] with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'specification', 'user'] ret = self.admin.main() outlist = out.getvalue().strip().split("\n") print(outlist) self.assertEqual(sorted(outlist), sorted(spec)) def testTable(self): ''' Note the tests will fail if you run this under pdb. the context managers capture the pdb prompts and this screws up the stdout strings with (pdb) prefixed to the line. ''' import sys self.install_init() self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table' ] ret = self.admin.main() expected = 'Error: Not enough arguments supplied' out = out.getvalue().strip() print(out) print(expected) self.assertTrue(expected in out) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'id,realname,username' ] ret = self.admin.main() expected = 'Error: no such class "id,realname,username"' out = out.getvalue().strip() print(out) print(expected) self.assertTrue(expected in out) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'user', 'id,realname,username:4:3' ] ret = self.admin.main() expected = 'Error: "username:4:3" not name:width' out = out.getvalue().strip() print(out) print(expected) self.assertTrue(expected in out) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'user', 'id,realname,title:4' ] ret = self.admin.main() expected = 'Error: user has no property "title"' out = out.getvalue().strip() print(out) print(expected) self.assertTrue(expected in out) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'user', 'id,realname,username:' ] ret = self.admin.main() # note whitespace matters. trailing spaces on lines 1 and 2 expected = """Id Realname Username 1 None admin 2 None anonymou""" out = out.getvalue().strip() print(out) print(expected) self.assertEqual(out, expected) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'user', 'id,realname,username' ] ret = self.admin.main() # note whitespace matters. trailing spaces on lines 1 and 2 expected = """Id Realname Username 1 None admin 2 None anonymous""" out = out.getvalue().strip() print(out) print(expected) self.assertEqual(out, expected) #### self.admin=AdminTool() with captured_output() as (out, err): sys.argv=['main', '-i', self.dirname, 'table', 'user', 'id:4,realname:2,username:3' ] ret = self.admin.main() # note whitespace matters. trailing spaces on lines 1 and 2 expected = """Id Realname Username 1 No adm 2 No ano""" out = out.getvalue().strip() print(out) print(expected) self.assertEqual(out, expected) class anydbmAdminTest(AdminTest, unittest.TestCase): backend = 'anydbm' @skip_mysql class mysqlAdminTest(AdminTest, unittest.TestCase): backend = 'mysql' class sqliteAdminTest(AdminTest, unittest.TestCase): backend = 'sqlite' @skip_postgresql class postgresqlAdminTest(AdminTest, unittest.TestCase): backend = 'postgresql'

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318e34e7ded1ca0487f28bb6a7ec910ca4078c63

23

py

Python

lib/backbone/HSMNet/__init__.py

wx-b/SMD-Nets

8d2ef162539e5b0becc7a43a89b54431b06d3f34

[ "MIT" ]

91

2021-04-01T07:50:41.000Z

2022-03-30T02:50:42.000Z

lib/backbone/HSMNet/__init__.py

wx-b/SMD-Nets

8d2ef162539e5b0becc7a43a89b54431b06d3f34

[ "MIT" ]

12

2021-05-12T07:56:33.000Z

2022-03-25T19:56:38.000Z

lib/backbone/HSMNet/__init__.py

wx-b/SMD-Nets

8d2ef162539e5b0becc7a43a89b54431b06d3f34

[ "MIT" ]

25

2021-04-09T02:43:59.000Z

2022-03-26T05:27:24.000Z

from .hsm import HSMNet

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0.826087

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31ee1f11debd840efaa8dea8c5f55f7269829510

1,522

py

Python

tests/wavefunction/orbitals/test_norm.py

NLESC-JCER/QMCTorch

c56472cd3e9cc59f2e01a880e674b7270d2cdc2b

[ "Apache-2.0" ]

16

2020-06-26T17:43:38.000Z

2022-03-03T14:16:02.000Z

tests/wavefunction/orbitals/test_norm.py

NLESC-JCER/QMCTorch

c56472cd3e9cc59f2e01a880e674b7270d2cdc2b

[ "Apache-2.0" ]

57

2020-05-01T07:13:49.000Z

2021-07-13T19:51:55.000Z

tests/wavefunction/orbitals/test_norm.py

NLESC-JCER/QMCTorch

c56472cd3e9cc59f2e01a880e674b7270d2cdc2b

[ "Apache-2.0" ]

3

2020-07-30T09:56:04.000Z

2021-08-12T02:55:45.000Z

import unittest import torch import numpy as np from types import SimpleNamespace from qmctorch.wavefunction.orbitals.norm_orbital import atomic_orbital_norm class TestAtomicOrbitalNorm(unittest.TestCase): def test_sph_sto(self): basis = SimpleNamespace() basis.harmonics_type = 'sph' basis.radial_type = 'sto' basis.bas_n = torch.as_tensor([0, 1, 2]) basis.bas_exp = torch.rand(3) atomic_orbital_norm(basis) def test_sph_gto(self): basis = SimpleNamespace() basis.harmonics_type = 'sph' basis.radial_type = 'gto' basis.bas_n = torch.as_tensor([0, 1, 2]) basis.bas_exp = torch.rand(3) atomic_orbital_norm(basis) def test_cart_sto(self): basis = SimpleNamespace() basis.harmonics_type = 'cart' basis.radial_type = 'sto' basis.bas_exp = np.random.rand(4) basis.bas_kx = np.array([0, 0, 0, 1]) basis.bas_ky = np.array([0, 1, 0, 0]) basis.bas_kz = np.array([0, 0, 1, 0]) basis.bas_kr = np.array([0, 0, 0, 0]) atomic_orbital_norm(basis) def test_cart_gto(self): basis = SimpleNamespace() basis.harmonics_type = 'cart' basis.radial_type = 'gto' basis.bas_exp = np.random.rand(4) basis.bas_kx = np.array([0, 0, 0, 1]) basis.bas_ky = np.array([0, 1, 0, 0]) basis.bas_kz = np.array([0, 0, 1, 0]) basis.bas_kr = np.array([0, 0, 0, 0]) atomic_orbital_norm(basis)

27.672727

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218

1,522

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null

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6

73097c71c96bb6728829c676c0843dc0d4f2d197

38

py

Python

web_parsers/manifest/__init__.py

invanalabs/web-parser

dca9c6354317ec7187f46fd270092372b39f63f8

[ "Apache-2.0" ]

1

2019-10-06T23:11:32.000Z

web_parsers/manifest/__init__.py

crawlerflow/extraction-engine

dca9c6354317ec7187f46fd270092372b39f63f8

[ "Apache-2.0" ]

2

2020-03-11T09:33:03.000Z

2020-03-18T21:12:28.000Z

web_parsers/manifest/__init__.py

crawlerflow/extraction-engine

dca9c6354317ec7187f46fd270092372b39f63f8

[ "Apache-2.0" ]

null

from .common import WebParserManifest

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null

0

1

0

1

0

1

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6

7349558881490f705f52794a0dbba240d22dea70

830

py

Python

1-mouth01/day07/exe098.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

[ "Apache-2.0" ]

4

2021-02-01T10:28:11.000Z

2021-02-01T10:34:40.000Z

1-mouth01/day07/exe098.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

[ "Apache-2.0" ]

null

1-mouth01/day07/exe098.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

[ "Apache-2.0" ]

null

"""商品字典dict_commodity_infos = {1001: {"name": "屠龙刀",\ "price": 10000}, 1002: {"name": "倚天剑", "price": 10000}, \ 1003: {"name": "金箍棒", "price": 52100}, \ 1004: {"name": "口罩", "price": 20}, \ 1005: {"name": "酒精", "price": 30}, }# \ 订单列表list_orders = [{"cid": 1001, "count": 1}, \ {"cid": 1002, "count": 3}, {"cid": 1005, "count": 2},]\ 1.打印所有商品信息, 格式：商品编号 xx,商品名称 xx,商品单价 xx. / 2. 打印所有订单中的信息, 格式：商品编号 xx,购买数量 xx""" # 商品字典 dict_commodity_infos = {1001: {"name": "屠龙刀",\ "price": 10000}, 1002: {"name": "倚天剑", "price": 10000}, \ 1003: {"name": "金箍棒", "price": 52100}, \ 1004: {"name": "口罩", "price": 20}, \ 1005: {"name": "酒精", "price": 30}, }# \ # 订单列表 list_orders = [{"cid": 1001, "count": 1}, \ {"cid": 1002, "count": 3}, {"cid": 1005, "count": 2},] for i1 in list_orders: print(f"商品编号{i1['cid']},购买数量{i1['count']}")

39.52381

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6

7dfc744c0aadfe4abe00325f9c9ac8169db552c1

67

py

Python

tests/test_runner.py

uuosio/python-contract-demos

7d56ba371f2115b0ab895fca3e71092c2523f25d

[ "MIT" ]

2

2020-12-08T13:15:06.000Z

2020-12-29T10:06:44.000Z

tests/test_runner.py

uuosio/python-contract-demos

7d56ba371f2115b0ab895fca3e71092c2523f25d

[ "MIT" ]

null

tests/test_runner.py

uuosio/python-contract-demos

7d56ba371f2115b0ab895fca3e71092c2523f25d

[ "MIT" ]

null

import sys from uuoskit import test_helper test_helper.run_test()

13.4

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67

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6

b439d703d73e42b8eab71264418cc69432e989ba

245

py

Python

TelegramBot/client/exceptions.py

kolyasalubov/ProjectShop

41a62d27276542bf65aab51663220ffe88858024

[ "MIT" ]

3

2021-08-30T09:15:52.000Z

2022-03-24T14:40:11.000Z

TelegramBot/client/exceptions.py

kolyasalubov/ProjectShop

41a62d27276542bf65aab51663220ffe88858024

[ "MIT" ]

150

2021-08-30T12:37:17.000Z

2021-11-17T07:09:19.000Z

TelegramBot/client/exceptions.py

kolyasalubov/ProjectShop

41a62d27276542bf65aab51663220ffe88858024

[ "MIT" ]

null

from requests import HTTPError class ClientError(HTTPError): """ Error for all responses with status code 4xx. """ pass class ServerError(HTTPError): """ Error for all responses with status coe 5xx """ pass

13.611111

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b44b3aac8aa2f9124ce6a901fe66673b02a1258c

41,564

py

Python

pybind/slxos/v16r_1_00b/interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ class ipsec_auth_key_config(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-interface - based on the path /interface/ethernet/ipv6/interface-ospfv3-conf/authentication/ipsec-auth-key-config. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__spi','__ah','__ah_no_encrypt','__ah_key','__esp','__esp_no_encrypt','__esp_key','__esp_auth','__esp_auth_no_encrypt','__esp_auth_key',) _yang_name = 'ipsec-auth-key-config' _rest_name = '' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__ah_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="ah-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) self.__esp = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'NULL': {'value': 1}},), is_leaf=True, yang_name="esp", rest_name="esp", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify Encapsulating Security Payload (ESP)', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-esp', is_config=True) self.__ah = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="ah", rest_name="ah", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify the authentication algorithm to use', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) self.__esp_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-key", rest_name="esp-key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for ESP', u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) self.__esp_auth_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-auth-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for authentication algorithm', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) self.__spi = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'512..4294967295']}), is_leaf=True, yang_name="spi", rest_name="spi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Security Parameter Index', u'cli-full-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='spi-value-type', is_config=True) self.__esp_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-no-encrypt", rest_name="esp-no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) self.__esp_auth = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="esp-auth", rest_name="esp-auth", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Use Authentication Algorithm', u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) self.__esp_auth_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-auth-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) self.__ah_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="ah-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Key used for ah', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'interface', u'ethernet', u'ipv6', u'interface-ospfv3-conf', u'authentication', u'ipsec-auth-key-config'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'interface', u'Ethernet', u'ipv6', u'ospf', u'authentication'] def _get_spi(self): """ Getter method for spi, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/spi (spi-value-type) YANG Description: Security Parameter IndexThe SPI value in combination with the destination IP address and security protocol uniquely identifies the Security Association for a datagram. The near-end and far-end values for the spi must be the same. """ return self.__spi def _set_spi(self, v, load=False): """ Setter method for spi, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/spi (spi-value-type) If this variable is read-only (config: false) in the source YANG file, then _set_spi is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_spi() directly. YANG Description: Security Parameter IndexThe SPI value in combination with the destination IP address and security protocol uniquely identifies the Security Association for a datagram. The near-end and far-end values for the spi must be the same. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'512..4294967295']}), is_leaf=True, yang_name="spi", rest_name="spi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Security Parameter Index', u'cli-full-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='spi-value-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """spi must be of a type compatible with spi-value-type""", 'defined-type': "brocade-ospfv3:spi-value-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'512..4294967295']}), is_leaf=True, yang_name="spi", rest_name="spi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Security Parameter Index', u'cli-full-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='spi-value-type', is_config=True)""", }) self.__spi = t if hasattr(self, '_set'): self._set() def _unset_spi(self): self.__spi = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'512..4294967295']}), is_leaf=True, yang_name="spi", rest_name="spi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Security Parameter Index', u'cli-full-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='spi-value-type', is_config=True) def _get_ah(self): """ Getter method for ah, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah (algorithm-type-ah) YANG Description: Specify the authentication algorithm to use. """ return self.__ah def _set_ah(self, v, load=False): """ Setter method for ah, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah (algorithm-type-ah) If this variable is read-only (config: false) in the source YANG file, then _set_ah is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ah() directly. YANG Description: Specify the authentication algorithm to use. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="ah", rest_name="ah", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify the authentication algorithm to use', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """ah must be of a type compatible with algorithm-type-ah""", 'defined-type': "brocade-ospfv3:algorithm-type-ah", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="ah", rest_name="ah", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify the authentication algorithm to use', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True)""", }) self.__ah = t if hasattr(self, '_set'): self._set() def _unset_ah(self): self.__ah = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="ah", rest_name="ah", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify the authentication algorithm to use', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) def _get_ah_no_encrypt(self): """ Getter method for ah_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah_no_encrypt (empty) YANG Description: Do not encrypt the key """ return self.__ah_no_encrypt def _set_ah_no_encrypt(self, v, load=False): """ Setter method for ah_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah_no_encrypt (empty) If this variable is read-only (config: false) in the source YANG file, then _set_ah_no_encrypt is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ah_no_encrypt() directly. YANG Description: Do not encrypt the key """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="ah-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """ah_no_encrypt must be of a type compatible with empty""", 'defined-type': "empty", 'generated-type': """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="ah-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True)""", }) self.__ah_no_encrypt = t if hasattr(self, '_set'): self._set() def _unset_ah_no_encrypt(self): self.__ah_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="ah-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) def _get_ah_key(self): """ Getter method for ah_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah_key (ipsec-authentication-hexkey-string) YANG Description: Key used for ah """ return self.__ah_key def _set_ah_key(self, v, load=False): """ Setter method for ah_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/ah_key (ipsec-authentication-hexkey-string) If this variable is read-only (config: false) in the source YANG file, then _set_ah_key is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ah_key() directly. YANG Description: Key used for ah """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="ah-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Key used for ah', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """ah_key must be of a type compatible with ipsec-authentication-hexkey-string""", 'defined-type': "brocade-ospfv3:ipsec-authentication-hexkey-string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="ah-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Key used for ah', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True)""", }) self.__ah_key = t if hasattr(self, '_set'): self._set() def _unset_ah_key(self): self.__ah_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="ah-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-ah-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Key used for ah', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) def _get_esp(self): """ Getter method for esp, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp (algorithm-type-esp) YANG Description: Specify Encapsulating Security Payload (ESP) as the protocol to provide packet-level security. """ return self.__esp def _set_esp(self, v, load=False): """ Setter method for esp, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp (algorithm-type-esp) If this variable is read-only (config: false) in the source YANG file, then _set_esp is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp() directly. YANG Description: Specify Encapsulating Security Payload (ESP) as the protocol to provide packet-level security. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'NULL': {'value': 1}},), is_leaf=True, yang_name="esp", rest_name="esp", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify Encapsulating Security Payload (ESP)', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-esp', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp must be of a type compatible with algorithm-type-esp""", 'defined-type': "brocade-ospfv3:algorithm-type-esp", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'NULL': {'value': 1}},), is_leaf=True, yang_name="esp", rest_name="esp", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify Encapsulating Security Payload (ESP)', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-esp', is_config=True)""", }) self.__esp = t if hasattr(self, '_set'): self._set() def _unset_esp(self): self.__esp = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'NULL': {'value': 1}},), is_leaf=True, yang_name="esp", rest_name="esp", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Specify Encapsulating Security Payload (ESP)', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-esp', is_config=True) def _get_esp_no_encrypt(self): """ Getter method for esp_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_no_encrypt (empty) YANG Description: Do not encrypt the key """ return self.__esp_no_encrypt def _set_esp_no_encrypt(self, v, load=False): """ Setter method for esp_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_no_encrypt (empty) If this variable is read-only (config: false) in the source YANG file, then _set_esp_no_encrypt is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp_no_encrypt() directly. YANG Description: Do not encrypt the key """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="esp-no-encrypt", rest_name="esp-no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp_no_encrypt must be of a type compatible with empty""", 'defined-type': "empty", 'generated-type': """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-no-encrypt", rest_name="esp-no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True)""", }) self.__esp_no_encrypt = t if hasattr(self, '_set'): self._set() def _unset_esp_no_encrypt(self): self.__esp_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-no-encrypt", rest_name="esp-no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) def _get_esp_key(self): """ Getter method for esp_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_key (ipsec-authentication-hexkey-string) YANG Description: Hexadecimal key string for ESP """ return self.__esp_key def _set_esp_key(self, v, load=False): """ Setter method for esp_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_key (ipsec-authentication-hexkey-string) If this variable is read-only (config: false) in the source YANG file, then _set_esp_key is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp_key() directly. YANG Description: Hexadecimal key string for ESP """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-key", rest_name="esp-key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for ESP', u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp_key must be of a type compatible with ipsec-authentication-hexkey-string""", 'defined-type': "brocade-ospfv3:ipsec-authentication-hexkey-string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-key", rest_name="esp-key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for ESP', u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True)""", }) self.__esp_key = t if hasattr(self, '_set'): self._set() def _unset_esp_key(self): self.__esp_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-key", rest_name="esp-key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for ESP', u'hidden': u'full', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) def _get_esp_auth(self): """ Getter method for esp_auth, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth (algorithm-type-ah) """ return self.__esp_auth def _set_esp_auth(self, v, load=False): """ Setter method for esp_auth, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth (algorithm-type-ah) If this variable is read-only (config: false) in the source YANG file, then _set_esp_auth is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp_auth() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="esp-auth", rest_name="esp-auth", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Use Authentication Algorithm', u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp_auth must be of a type compatible with algorithm-type-ah""", 'defined-type': "brocade-ospfv3:algorithm-type-ah", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="esp-auth", rest_name="esp-auth", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Use Authentication Algorithm', u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True)""", }) self.__esp_auth = t if hasattr(self, '_set'): self._set() def _unset_esp_auth(self): self.__esp_auth = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'hmac-sha1': {'value': 2}, u'hmac-md5': {'value': 1}},), is_leaf=True, yang_name="esp-auth", rest_name="esp-auth", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Use Authentication Algorithm', u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='algorithm-type-ah', is_config=True) def _get_esp_auth_no_encrypt(self): """ Getter method for esp_auth_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth_no_encrypt (empty) YANG Description: Do not encrypt the key """ return self.__esp_auth_no_encrypt def _set_esp_auth_no_encrypt(self, v, load=False): """ Setter method for esp_auth_no_encrypt, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth_no_encrypt (empty) If this variable is read-only (config: false) in the source YANG file, then _set_esp_auth_no_encrypt is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp_auth_no_encrypt() directly. YANG Description: Do not encrypt the key """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="esp-auth-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp_auth_no_encrypt must be of a type compatible with empty""", 'defined-type': "empty", 'generated-type': """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-auth-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True)""", }) self.__esp_auth_no_encrypt = t if hasattr(self, '_set'): self._set() def _unset_esp_auth_no_encrypt(self): self.__esp_auth_no_encrypt = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="esp-auth-no-encrypt", rest_name="no-encrypt", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Do not encrypt the key ', u'cli-optional-in-sequence': None, u'hidden': u'full', u'alt-name': u'no-encrypt', u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='empty', is_config=True) def _get_esp_auth_key(self): """ Getter method for esp_auth_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth_key (ipsec-authentication-hexkey-string) YANG Description: Hexadecimal key string for authentication algorithm """ return self.__esp_auth_key def _set_esp_auth_key(self, v, load=False): """ Setter method for esp_auth_key, mapped from YANG variable /interface/ethernet/ipv6/interface_ospfv3_conf/authentication/ipsec_auth_key_config/esp_auth_key (ipsec-authentication-hexkey-string) If this variable is read-only (config: false) in the source YANG file, then _set_esp_auth_key is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_esp_auth_key() directly. YANG Description: Hexadecimal key string for authentication algorithm """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-auth-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for authentication algorithm', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """esp_auth_key must be of a type compatible with ipsec-authentication-hexkey-string""", 'defined-type': "brocade-ospfv3:ipsec-authentication-hexkey-string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-auth-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for authentication algorithm', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True)""", }) self.__esp_auth_key = t if hasattr(self, '_set'): self._set() def _unset_esp_auth_key(self): self.__esp_auth_key = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'0..80']}), is_leaf=True, yang_name="esp-auth-key", rest_name="key", parent=self, choice=(u'ch-algorithm', u'ca-esp-algorithm'), path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Hexadecimal key string for authentication algorithm', u'alt-name': u'key', u'suppress-echo': u'true'}}, namespace='urn:brocade.com:mgmt:brocade-ospfv3', defining_module='brocade-ospfv3', yang_type='ipsec-authentication-hexkey-string', is_config=True) spi = __builtin__.property(_get_spi, _set_spi) ah = __builtin__.property(_get_ah, _set_ah) ah_no_encrypt = __builtin__.property(_get_ah_no_encrypt, _set_ah_no_encrypt) ah_key = __builtin__.property(_get_ah_key, _set_ah_key) esp = __builtin__.property(_get_esp, _set_esp) esp_no_encrypt = __builtin__.property(_get_esp_no_encrypt, _set_esp_no_encrypt) esp_key = __builtin__.property(_get_esp_key, _set_esp_key) esp_auth = __builtin__.property(_get_esp_auth, _set_esp_auth) esp_auth_no_encrypt = __builtin__.property(_get_esp_auth_no_encrypt, _set_esp_auth_no_encrypt) esp_auth_key = __builtin__.property(_get_esp_auth_key, _set_esp_auth_key) __choices__ = {u'ch-algorithm': {u'ca-ah-algorithm': [u'ah', u'ah_no_encrypt', u'ah_key'], u'ca-esp-algorithm': [u'esp', u'esp_no_encrypt', u'esp_key', u'esp_auth', u'esp_auth_no_encrypt', u'esp_auth_key']}} _pyangbind_elements = {'spi': spi, 'ah': ah, 'ah_no_encrypt': ah_no_encrypt, 'ah_key': ah_key, 'esp': esp, 'esp_no_encrypt': esp_no_encrypt, 'esp_key': esp_key, 'esp_auth': esp_auth, 'esp_auth_no_encrypt': esp_auth_no_encrypt, 'esp_auth_key': esp_auth_key, }

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0.722091

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0.039723

0.029783

0.023408

0.019507

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0.902849

0.889438

0.882193

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0.860945

0

0.008732

0.134828

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87.87315

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false

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0.271375

0

null

0

1

0

null

0

6

81f52e3bfa631c804888a9d9932b81592422b6e8

25

py

Python

models/__init__.py

zyn1030z/owl_tree_view

787dbb926815dc529c40695d52d67eea24c0b705

[ "MIT" ]

3

2021-09-22T07:39:29.000Z

2021-12-16T09:10:45.000Z

models/__init__.py

zyn1030z/owl_tree_view

787dbb926815dc529c40695d52d67eea24c0b705

[ "MIT" ]

1

2021-11-11T11:50:49.000Z

2021-11-12T08:35:47.000Z

models/__init__.py

zyn1030z/owl_tree_view

787dbb926815dc529c40695d52d67eea24c0b705

[ "MIT" ]

2

2021-11-04T03:10:45.000Z

2021-11-30T21:58:25.000Z

from . import ir_ui_view

12.5

24

0.8

5

25

3.6

1

0

0.16

25

1

25

0.857143

0

1

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true

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null

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1

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1

0

6

c307232281c79b7e2032d265d22beb34ae0aa1b8

151

py

Python

rta/cv/__init__.py

MatteoLacki/rta

93944d6fc934126e0bb4d076c8b4213cadbe49a1

[ "BSD-2-Clause" ]

1

2018-05-31T14:31:18.000Z

rta/cv/__init__.py

MatteoLacki/rta

93944d6fc934126e0bb4d076c8b4213cadbe49a1

[ "BSD-2-Clause" ]

null

rta/cv/__init__.py

MatteoLacki/rta

93944d6fc934126e0bb4d076c8b4213cadbe49a1

[ "BSD-2-Clause" ]

null

"""The preprocessing submodule. Tools for preprocessing data. """ from .grouped_k_folds import grouped_K_folds from .filters import filter_K_foldable

21.571429

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0.821192

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0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

c345c317fad3c228bee55ebb0b1c58eceefe0ce4

7,775

py

Python

demo_v1.py

kmautonsys/bayesSIR

638b21eb03831ede421816d17368ed6d28aed492

[ "BSD-3-Clause" ]

2

2020-04-06T18:09:16.000Z

2020-04-30T19:34:34.000Z

demo_v1.py

kmautonsys/bayesSIR

638b21eb03831ede421816d17368ed6d28aed492

[ "BSD-3-Clause" ]

null

demo_v1.py

kmautonsys/bayesSIR

638b21eb03831ede421816d17368ed6d28aed492

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 import pystan import numpy as np import json import requests import pandas as pd import matplotlib.pyplot as plt config = [] r=requests.get("https://covidtracking.com/api/states/daily") state_data = pd.DataFrame(r.json()) def load_config(file,data): """ This loads a config file for a stan run. Config file is assumed to be in JSON format. The data file is assumed to have positive, deaths, and hospitalized features. Postive refers to positive tests, a proxy for confirmed cases. This need some error checking, particularlly for the case that a required parameter is missing. """ config = dict() with open(file) as f: config = json.load(f) #Adjust the data types for key in config.keys(): if isinstance(config[key],list): config[key] = np.array(config[key]) with open('./state_populations.json') as f: state_pops = json.load(f) for key in state_pops.keys(): state_pops[key] = int(state_pops[key]) # look up time series for the state state = config['state'] state_data = data[data.state==state] state_pop = state_pops[state] # These parameters can be loaded from the data config['dat_cases'] = np.flip(state_data.positive.values.astype('int')) config['dat_caseNA'] = np.isnan(state_data.positive.values).astype('int') config['dat_deaths'] = np.flip(np.nan_to_num(state_data.death.values).astype('int')) config['dat_deathNA'] = np.isnan(state_data.death.values).astype('int') # NA deaths should be forward-filled config['dat_hospitalized'] = np.flip(state_data.hospitalized.values.astype('int')) config['dat_hospNA'] = np.isnan(state_data.hospitalized.values).astype('int') #NA hospitalizations should be forward filled dat_ts = np.flip(np.array(state_data.date.values)) # fill in the derived parameters and adjust data types config['dat_ts'] = dat_ts - np.max(dat_ts) -1 config['TotalPop'] = float(state_pop) # config["nonCOVIDMU"] = 0.1*config['TotalPop'] config['M'] = len(config["tranMU"]) config['Q'] = len(config["dat_ts"]) #config['recMU']=np.log(config['recMU']) config['S0MU'] = np.log(0.5*state_pop) # Forecast parameters ts = 1+np.arange(config['N']) config["ts"] = ts config.pop('state',None) #print(config) return config def describe_fit(fit): """ Simple analysis of the fitted model and display of the population evaluation """ summary = fit.summary() summary = pd.DataFrame(summary['summary'], index = summary['summary_rownames'], columns = summary['summary_colnames']) print("Estimated transmited rate: {:.2f} ({:.2f})".format(summary['mean']['tran[1]'], summary['sd']['tran[1]'])) print("Recovery time: {:.2f} ({:.2f}) days".format(summary['mean'].rec, summary['sd'].rec)) print("Proportion population affected: {:.2f}% ({:.2f})".format(summary['mean'].ConfirmProportion_* 100, summary['sd'].ConfirmProportion_ * 100)) # Evolution Cases for (group, color, id) in [('Infected', 'orange', 'I'), ('Dead', 'red', 'Deaths')]: training, prediction = summary.loc[[i for i in summary.index if 'Fit{}['.format(id) in i]], summary.loc[[i for i in summary.index if ('{}['.format(id) in i) and ('Fit' not in i)]] plt.plot(np.arange(-len(training),0) + 1, training['mean'], alpha = 0.5, color = color) plt.fill_between(np.arange(-len(training),0) + 1, training['2.5%'], training['97.5%'], alpha = 0.25, color = color) plt.plot(np.arange(len(prediction) + 1), [training['mean'].iloc[-1]] + prediction['mean'].tolist(), label = group, ls = ':', color = color) plt.fill_between(np.arange(len(prediction) + 1), [training['2.5%'].iloc[-1]] + prediction['2.5%'].tolist(), [training['97.5%'][-1]] + prediction['97.5%'].tolist(), alpha = 0.5, color = color) plt.xlabel('Days') plt.ylabel('Number') plt.legend() plt.show() dat = load_config('ny_conf.json',state_data) #print(dat) sm = pystan.StanModel(file="bayesSIRv1.1.stan") #fit = sm.sampling(data=dat, iter=1000, chains=4) fit = sm.optimizing(data=dat) #describe_fit(fit) # #!/usr/bin/env python3 # import pystan # import numpy as np # import json # import requests # import pandas as pd # import matplotlib.pyplot as plt # r=requests.get("https://covidtracking.com/api/states/daily") # state_data = pd.DataFrame(r.json()) # config = [] # # outbreak priors # def load_config(file,data): # config = dict() # with open(file) as f: # config = json.load(f) # #Adjust the data types # for key in config.keys(): # if isinstance(config[key],list): # config[key] = np.array(config[key]) # # look up time series for the state # state = config['state'] # state_data = data[data.state==state] # config['dat_cases'] = np.flip(state_data.positive.values.astype('int')) # config['dat_tests'] = np.flip(state_data.totalTestResults.values.astype('int')) # config['dat_deaths'] = np.flip(np.nan_to_num(state_data.death.values).astype('int')) # config['dat_deathNA'] = np.isnan(state_data.death.values).astype('int') # #config['dat_hospitalized'] = state_data.hospitalized.values.astype('int') # dat_ts = np.flip(np.array(state_data.date.values)) # config['dat_ts'] = dat_ts - np.max(dat_ts) -1 # config["TotalPop"] = 19440469 # this is new york specific # config["nonCOVIDMU"] = 0.1*config['TotalPop'] # #fill in the derived parameters # config["I0MU"] = max(config["dat_cases"]).astype('int') # mean current infected population # config["R0MU"] = max(config["dat_cases"]).astype('int') # mean current recovered population # config["M"] = len(config["tranMU"]) # config["Q"] = len(config["dat_ts"]) # config["DeathMU"] = 0 # config["DeathSD"] = 2 # # Forecast parameters # ts = 1+np.arange(config['N']) # config["ts"] = ts # config.pop('state',None) # return config # def describe_fit(fit): # """ # Simple analysis of the fitted model and display of the population evaluation # """ # summary = fit.summary() # summary = pd.DataFrame(summary['summary'], index = summary['summary_rownames'], columns = summary['summary_colnames']) # print("Estimated transmited rate: {:.2f} ({:.2f})".format(summary['mean']['tran[1]'], summary['sd']['tran[1]'])) # print("Recovery time: {:.2f} ({:.2f}) days".format(summary['mean'].rec, summary['sd'].rec)) # print("Proportion population affected: {:.2f}% ({:.2f})".format(summary['mean'].ConfirmProportion_* 100, summary['sd'].ConfirmProportion_ * 100)) # # Evolution Cases # for (group, color, id) in [('Infected', 'orange', 'I'), ('Dead', 'red', 'Deaths')]: # training, prediction = summary.loc[[i for i in summary.index if 'Fit{}['.format(id) in i]], summary.loc[[i for i in summary.index if ('{}['.format(id) in i) and ('Fit' not in i)]] # plt.plot(np.arange(-1*len(training),0) + 1, training['mean'], alpha = 0.5, color = color) # plt.fill_between(np.arange(-len(training),0) + 1, training['2.5%'], training['97.5%'], alpha = 0.25, color = color) # plt.plot(np.arange(len(prediction) + 1), [training['mean'][-1]] + prediction['mean'].tolist(), label = group, ls = ':', color = color) # plt.fill_between(np.arange(len(prediction) + 1), [training['2.5%'][-1]] + prediction['2.5%'].tolist(), [training['97.5%'][-1]] + prediction['97.5%'].tolist(), alpha = 0.5, color = color) # plt.xlabel('Days') # plt.ylabel('Number') # plt.legend() # plt.show() # dat = load_config('ny_conf.json',state_data) # sm = pystan.StanModel(file="bayesSIRv1.1.stan") # fit = sm.sampling(data=dat, iter=4000, chains=4) # describe_fit(fit)

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access_token_service/__init__.py

HumanBrainProject/jupyterhub-access-token-service

6da05ce0ecaab57c23a30806e773bdacbcbe8a30

[ "Apache-2.0" ]

null

access_token_service/__init__.py

HumanBrainProject/jupyterhub-access-token-service

6da05ce0ecaab57c23a30806e773bdacbcbe8a30

[ "Apache-2.0" ]

null

access_token_service/__init__.py

HumanBrainProject/jupyterhub-access-token-service

6da05ce0ecaab57c23a30806e773bdacbcbe8a30

[ "Apache-2.0" ]

null

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Python

docker-images/taigav2/taiga-back/tests/integration/resources_permissions/test_epics_custom_attributes_resource.py

mattcongy/itshop

6be025a9eaa7fe7f495b5777d1f0e5a3184121c9

[ "MIT" ]

1

2017-05-29T19:01:06.000Z

docker-images/taigav2/taiga-back/tests/integration/resources_permissions/test_epics_custom_attributes_resource.py

mattcongy/itshop

6be025a9eaa7fe7f495b5777d1f0e5a3184121c9

[ "MIT" ]

null

docker-images/taigav2/taiga-back/tests/integration/resources_permissions/test_epics_custom_attributes_resource.py

mattcongy/itshop

6be025a9eaa7fe7f495b5777d1f0e5a3184121c9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (C) 2014-2016 Andrey Antukh <niwi@niwi.nz> # Copyright (C) 2014-2016 Jesús Espino <jespinog@gmail.com> # Copyright (C) 2014-2016 David Barragán <bameda@dbarragan.com> # Copyright (C) 2014-2016 Alejandro Alonso <alejandro.alonso@kaleidos.net> # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. from django.core.urlresolvers import reverse from taiga.base.utils import json from taiga.projects import choices as project_choices from taiga.projects.custom_attributes import serializers from taiga.permissions.choices import (MEMBERS_PERMISSIONS, ANON_PERMISSIONS) from tests import factories as f from tests.utils import helper_test_http_method import pytest pytestmark = pytest.mark.django_db @pytest.fixture def data(): m = type("Models", (object,), {}) m.registered_user = f.UserFactory.create() m.project_member_with_perms = f.UserFactory.create() m.project_member_without_perms = f.UserFactory.create() m.project_owner = f.UserFactory.create() m.other_user = f.UserFactory.create() m.superuser = f.UserFactory.create(is_superuser=True) m.public_project = f.ProjectFactory(is_private=False, anon_permissions=list(map(lambda x: x[0], ANON_PERMISSIONS)), public_permissions=list(map(lambda x: x[0], ANON_PERMISSIONS)), owner=m.project_owner) m.private_project1 = f.ProjectFactory(is_private=True, anon_permissions=list(map(lambda x: x[0], ANON_PERMISSIONS)), public_permissions=list(map(lambda x: x[0], ANON_PERMISSIONS)), owner=m.project_owner) m.private_project2 = f.ProjectFactory(is_private=True, anon_permissions=[], public_permissions=[], owner=m.project_owner) m.blocked_project = f.ProjectFactory(is_private=True, anon_permissions=[], public_permissions=[], owner=m.project_owner, blocked_code=project_choices.BLOCKED_BY_STAFF) m.public_membership = f.MembershipFactory(project=m.public_project, user=m.project_member_with_perms, email=m.project_member_with_perms.email, role__project=m.public_project, role__permissions=list(map(lambda x: x[0], MEMBERS_PERMISSIONS))) m.private_membership1 = f.MembershipFactory(project=m.private_project1, user=m.project_member_with_perms, email=m.project_member_with_perms.email, role__project=m.private_project1, role__permissions=list(map(lambda x: x[0], MEMBERS_PERMISSIONS))) f.MembershipFactory(project=m.private_project1, user=m.project_member_without_perms, email=m.project_member_without_perms.email, role__project=m.private_project1, role__permissions=[]) m.private_membership2 = f.MembershipFactory(project=m.private_project2, user=m.project_member_with_perms, email=m.project_member_with_perms.email, role__project=m.private_project2, role__permissions=list(map(lambda x: x[0], MEMBERS_PERMISSIONS))) f.MembershipFactory(project=m.private_project2, user=m.project_member_without_perms, email=m.project_member_without_perms.email, role__project=m.private_project2, role__permissions=[]) m.blocked_membership = f.MembershipFactory(project=m.blocked_project, user=m.project_member_with_perms, email=m.project_member_with_perms.email, role__project=m.blocked_project, role__permissions=list(map(lambda x: x[0], MEMBERS_PERMISSIONS))) f.MembershipFactory(project=m.blocked_project, user=m.project_member_without_perms, email=m.project_member_without_perms.email, role__project=m.blocked_project, role__permissions=[]) f.MembershipFactory(project=m.public_project, user=m.project_owner, is_admin=True) f.MembershipFactory(project=m.private_project1, user=m.project_owner, is_admin=True) f.MembershipFactory(project=m.private_project2, user=m.project_owner, is_admin=True) f.MembershipFactory(project=m.blocked_project, user=m.project_owner, is_admin=True) m.public_epic_ca = f.EpicCustomAttributeFactory(project=m.public_project) m.private_epic_ca1 = f.EpicCustomAttributeFactory(project=m.private_project1) m.private_epic_ca2 = f.EpicCustomAttributeFactory(project=m.private_project2) m.blocked_epic_ca = f.EpicCustomAttributeFactory(project=m.blocked_project) m.public_epic = f.EpicFactory(project=m.public_project, status__project=m.public_project) m.private_epic1 = f.EpicFactory(project=m.private_project1, status__project=m.private_project1) m.private_epic2 = f.EpicFactory(project=m.private_project2, status__project=m.private_project2) m.blocked_epic = f.EpicFactory(project=m.blocked_project, status__project=m.blocked_project) m.public_epic_cav = m.public_epic.custom_attributes_values m.private_epic_cav1 = m.private_epic1.custom_attributes_values m.private_epic_cav2 = m.private_epic2.custom_attributes_values m.blocked_epic_cav = m.blocked_epic.custom_attributes_values return m ######################################################### # Epic Custom Attribute ######################################################### def test_epic_custom_attribute_retrieve(client, data): public_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.public_epic_ca.pk}) private1_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca1.pk}) private2_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca2.pk}) blocked_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.blocked_epic_ca.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] results = helper_test_http_method(client, 'get', public_url, None, users) assert results == [200, 200, 200, 200, 200] results = helper_test_http_method(client, 'get', private1_url, None, users) assert results == [200, 200, 200, 200, 200] results = helper_test_http_method(client, 'get', private2_url, None, users) assert results == [401, 403, 403, 200, 200] results = helper_test_http_method(client, 'get', blocked_url, None, users) assert results == [401, 403, 403, 200, 200] def test_epic_custom_attribute_create(client, data): public_url = reverse('epic-custom-attributes-list') private1_url = reverse('epic-custom-attributes-list') private2_url = reverse('epic-custom-attributes-list') blocked_url = reverse('epic-custom-attributes-list') users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] epic_ca_data = {"name": "test-new", "project": data.public_project.id} epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'post', public_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 201] epic_ca_data = {"name": "test-new", "project": data.private_project1.id} epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'post', private1_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 201] epic_ca_data = {"name": "test-new", "project": data.private_project2.id} epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'post', private2_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 201] epic_ca_data = {"name": "test-new", "project": data.blocked_project.id} epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'post', blocked_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 451] def test_epic_custom_attribute_update(client, data): public_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.public_epic_ca.pk}) private1_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca1.pk}) private2_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca2.pk}) blocked_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.blocked_epic_ca.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] epic_ca_data = serializers.EpicCustomAttributeSerializer(data.public_epic_ca).data epic_ca_data["name"] = "test" epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'put', public_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 200] epic_ca_data = serializers.EpicCustomAttributeSerializer(data.private_epic_ca1).data epic_ca_data["name"] = "test" epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'put', private1_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 200] epic_ca_data = serializers.EpicCustomAttributeSerializer(data.private_epic_ca2).data epic_ca_data["name"] = "test" epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'put', private2_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 200] epic_ca_data = serializers.EpicCustomAttributeSerializer(data.blocked_epic_ca).data epic_ca_data["name"] = "test" epic_ca_data = json.dumps(epic_ca_data) results = helper_test_http_method(client, 'put', private2_url, epic_ca_data, users) assert results == [401, 403, 403, 403, 451] def test_epic_custom_attribute_delete(client, data): public_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.public_epic_ca.pk}) private1_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca1.pk}) private2_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca2.pk}) blocked_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.blocked_epic_ca.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] results = helper_test_http_method(client, 'delete', public_url, None, users) assert results == [401, 403, 403, 403, 204] results = helper_test_http_method(client, 'delete', private1_url, None, users) assert results == [401, 403, 403, 403, 204] results = helper_test_http_method(client, 'delete', private2_url, None, users) assert results == [401, 403, 403, 403, 204] results = helper_test_http_method(client, 'delete', blocked_url, None, users) assert results == [401, 403, 403, 403, 451] def test_epic_custom_attribute_list(client, data): url = reverse('epic-custom-attributes-list') response = client.json.get(url) assert len(response.data) == 2 assert response.status_code == 200 client.login(data.registered_user) response = client.json.get(url) assert len(response.data) == 2 assert response.status_code == 200 client.login(data.project_member_without_perms) response = client.json.get(url) assert len(response.data) == 2 assert response.status_code == 200 client.login(data.project_member_with_perms) response = client.json.get(url) assert len(response.data) == 4 assert response.status_code == 200 client.login(data.project_owner) response = client.json.get(url) assert len(response.data) == 4 assert response.status_code == 200 def test_epic_custom_attribute_patch(client, data): public_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.public_epic_ca.pk}) private1_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca1.pk}) private2_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.private_epic_ca2.pk}) blocked_url = reverse('epic-custom-attributes-detail', kwargs={"pk": data.blocked_epic_ca.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] results = helper_test_http_method(client, 'patch', public_url, '{"name": "Test"}', users) assert results == [401, 403, 403, 403, 200] results = helper_test_http_method(client, 'patch', private1_url, '{"name": "Test"}', users) assert results == [401, 403, 403, 403, 200] results = helper_test_http_method(client, 'patch', private2_url, '{"name": "Test"}', users) assert results == [401, 403, 403, 403, 200] results = helper_test_http_method(client, 'patch', blocked_url, '{"name": "Test"}', users) assert results == [401, 403, 403, 403, 451] def test_epic_custom_attribute_action_bulk_update_order(client, data): url = reverse('epic-custom-attributes-bulk-update-order') users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] post_data = json.dumps({ "bulk_epic_custom_attributes": [(1,2)], "project": data.public_project.pk }) results = helper_test_http_method(client, 'post', url, post_data, users) assert results == [401, 403, 403, 403, 204] post_data = json.dumps({ "bulk_epic_custom_attributes": [(1,2)], "project": data.private_project1.pk }) results = helper_test_http_method(client, 'post', url, post_data, users) assert results == [401, 403, 403, 403, 204] post_data = json.dumps({ "bulk_epic_custom_attributes": [(1,2)], "project": data.private_project2.pk }) results = helper_test_http_method(client, 'post', url, post_data, users) assert results == [401, 403, 403, 403, 204] post_data = json.dumps({ "bulk_epic_custom_attributes": [(1,2)], "project": data.blocked_project.pk }) results = helper_test_http_method(client, 'post', url, post_data, users) assert results == [401, 403, 403, 403, 451] ######################################################### # Epic Custom Attribute ######################################################### def test_epic_custom_attributes_values_retrieve(client, data): public_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.public_epic.pk}) private_url1 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic1.pk}) private_url2 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic2.pk}) blocked_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.blocked_epic.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] results = helper_test_http_method(client, 'get', public_url, None, users) assert results == [200, 200, 200, 200, 200] results = helper_test_http_method(client, 'get', private_url1, None, users) assert results == [200, 200, 200, 200, 200] results = helper_test_http_method(client, 'get', private_url2, None, users) assert results == [401, 403, 403, 200, 200] results = helper_test_http_method(client, 'get', blocked_url, None, users) assert results == [401, 403, 403, 200, 200] def test_epic_custom_attributes_values_update(client, data): public_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.public_epic.pk}) private_url1 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic1.pk}) private_url2 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic2.pk}) blocked_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.blocked_epic.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] epic_data = serializers.EpicCustomAttributesValuesSerializer(data.public_epic_cav).data epic_data["attributes_values"] = {str(data.public_epic_ca.pk): "test"} epic_data = json.dumps(epic_data) results = helper_test_http_method(client, 'put', public_url, epic_data, users) assert results == [401, 403, 403, 200, 200] epic_data = serializers.EpicCustomAttributesValuesSerializer(data.private_epic_cav1).data epic_data["attributes_values"] = {str(data.private_epic_ca1.pk): "test"} epic_data = json.dumps(epic_data) results = helper_test_http_method(client, 'put', private_url1, epic_data, users) assert results == [401, 403, 403, 200, 200] epic_data = serializers.EpicCustomAttributesValuesSerializer(data.private_epic_cav2).data epic_data["attributes_values"] = {str(data.private_epic_ca2.pk): "test"} epic_data = json.dumps(epic_data) results = helper_test_http_method(client, 'put', private_url2, epic_data, users) assert results == [401, 403, 403, 200, 200] epic_data = serializers.EpicCustomAttributesValuesSerializer(data.blocked_epic_cav).data epic_data["attributes_values"] = {str(data.blocked_epic_ca.pk): "test"} epic_data = json.dumps(epic_data) results = helper_test_http_method(client, 'put', blocked_url, epic_data, users) assert results == [401, 403, 403, 451, 451] def test_epic_custom_attributes_values_patch(client, data): public_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.public_epic.pk}) private_url1 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic1.pk}) private_url2 = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.private_epic2.pk}) blocked_url = reverse('epic-custom-attributes-values-detail', kwargs={"epic_id": data.blocked_epic.pk}) users = [ None, data.registered_user, data.project_member_without_perms, data.project_member_with_perms, data.project_owner ] patch_data = json.dumps({"attributes_values": {str(data.public_epic_ca.pk): "test"}, "version": data.public_epic.version}) results = helper_test_http_method(client, 'patch', public_url, patch_data, users) assert results == [401, 403, 403, 200, 200] patch_data = json.dumps({"attributes_values": {str(data.private_epic_ca1.pk): "test"}, "version": data.private_epic1.version}) results = helper_test_http_method(client, 'patch', private_url1, patch_data, users) assert results == [401, 403, 403, 200, 200] patch_data = json.dumps({"attributes_values": {str(data.private_epic_ca2.pk): "test"}, "version": data.private_epic2.version}) results = helper_test_http_method(client, 'patch', private_url2, patch_data, users) assert results == [401, 403, 403, 200, 200] patch_data = json.dumps({"attributes_values": {str(data.blocked_epic_ca.pk): "test"}, "version": data.blocked_epic.version}) results = helper_test_http_method(client, 'patch', blocked_url, patch_data, users) assert results == [401, 403, 403, 451, 451]

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komorebi/__init__.py

alvations/komorebi

ba9617cb0c89f8f038ac2a80bcdbc4c450d0a3dd

[ "MIT" ]

null

komorebi/__init__.py

alvations/komorebi

ba9617cb0c89f8f038ac2a80bcdbc4c450d0a3dd

[ "MIT" ]

2

2018-06-12T08:45:16.000Z

2018-06-13T08:39:53.000Z

komorebi/__init__.py

alvations/komorebi

ba9617cb0c89f8f038ac2a80bcdbc4c450d0a3dd

[ "MIT" ]

2

2018-06-13T06:06:06.000Z

2020-02-08T04:16:05.000Z

# -*- coding: utf-8 -*- from komorebi.text import TextData from komorebi.parallel import ParallelData from komorebi.torch_datasets import ParallelDataset

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py

Python

python/ql/test/query-tests/Imports/PyCheckerTests/pkg_ok/__init__.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

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2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/test/query-tests/Imports/PyCheckerTests/pkg_ok/__init__.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

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2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/test/query-tests/Imports/PyCheckerTests/pkg_ok/__init__.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

import pkg_ok.foo1 as foo1 from pkg_ok import foo2 from pkg_ok.foo3 import Foo3 from . import foo4 from .foo5 import Foo5

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Python

tests/steps/test_field.py

areleu/frictionless-py

d62ccf6efbe23020956d35ce396b3cef9af18d42

[ "MIT" ]

null

tests/steps/test_field.py

areleu/frictionless-py

d62ccf6efbe23020956d35ce396b3cef9af18d42

[ "MIT" ]

null

tests/steps/test_field.py

areleu/frictionless-py

d62ccf6efbe23020956d35ce396b3cef9af18d42

[ "MIT" ]

null

from frictionless import Resource, transform, steps # Add def test_step_field_add(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_add(name="note", type="string", value="eu"), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "note", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "name": "germany", "population": 83, "note": "eu"}, {"id": 2, "name": "france", "population": 66, "note": "eu"}, {"id": 3, "name": "spain", "population": 47, "note": "eu"}, ] def test_step_field_add_with_position(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_add(name="note", position=1, value="eu"), ], ) assert target.schema == { "fields": [ {"name": "note"}, {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"note": "eu", "id": 1, "name": "germany", "population": 83}, {"note": "eu", "id": 2, "name": "france", "population": 66}, {"note": "eu", "id": 3, "name": "spain", "population": 47}, ] def test_step_field_add_with_formula(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.table_normalize(), steps.field_add(name="calc", formula="id * 100 + population"), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "calc"}, ] } assert target.read_rows() == [ {"id": 1, "name": "germany", "population": 83, "calc": 183}, {"id": 2, "name": "france", "population": 66, "calc": 266}, {"id": 3, "name": "spain", "population": 47, "calc": 347}, ] def test_step_field_add_with_function(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.table_normalize(), steps.field_add( name="calc", function=lambda row: row["id"] * 100 + row["population"] ), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "calc"}, ] } assert target.read_rows() == [ {"id": 1, "name": "germany", "population": 83, "calc": 183}, {"id": 2, "name": "france", "population": 66, "calc": 266}, {"id": 3, "name": "spain", "population": 47, "calc": 347}, ] def test_step_field_add_with_incremental(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_add(name="number", incremental=True), ], ) assert target.schema == { "fields": [ {"name": "number"}, {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"number": 1, "id": 1, "name": "germany", "population": 83}, {"number": 2, "id": 2, "name": "france", "population": 66}, {"number": 3, "id": 3, "name": "spain", "population": 47}, ] # Filter def test_step_field_filter(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_filter(names=["id", "name"]), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "name": "germany"}, {"id": 2, "name": "france"}, {"id": 3, "name": "spain"}, ] # Move def test_step_field_move(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_move(name="id", position=3), ], ) assert target.schema == { "fields": [ {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "id", "type": "integer"}, ] } assert target.read_rows() == [ {"name": "germany", "population": 83, "id": 1}, {"name": "france", "population": 66, "id": 2}, {"name": "spain", "population": 47, "id": 3}, ] # Remove def test_step_field_remove(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_remove(names=["id"]), ], ) assert target.schema == { "fields": [ {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"name": "germany", "population": 83}, {"name": "france", "population": 66}, {"name": "spain", "population": 47}, ] # Split def test_step_field_split(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_split(name="name", to_names=["name1", "name2"], pattern="a"), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "population", "type": "integer"}, {"name": "name1", "type": "string"}, {"name": "name2", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "population": 83, "name1": "germ", "name2": "ny"}, {"id": 2, "population": 66, "name1": "fr", "name2": "nce"}, {"id": 3, "population": 47, "name1": "sp", "name2": "in"}, ] def test_step_field_split_with_preserve(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_split( name="name", to_names=["name1", "name2"], pattern="a", preserve=True ), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "name1", "type": "string"}, {"name": "name2", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "name": "germany", "population": 83, "name1": "germ", "name2": "ny"}, {"id": 2, "name": "france", "population": 66, "name1": "fr", "name2": "nce"}, {"id": 3, "name": "spain", "population": 47, "name1": "sp", "name2": "in"}, ] def test_step_field_split_with_capturing_groups(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_split( name="name", to_names=["name1", "name2"], pattern=r"(.{2})(.*)" ), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "population", "type": "integer"}, {"name": "name1", "type": "string"}, {"name": "name2", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "population": 83, "name1": "ge", "name2": "rmany"}, {"id": 2, "population": 66, "name1": "fr", "name2": "ance"}, {"id": 3, "population": 47, "name1": "sp", "name2": "ain"}, ] # Unpack def test_step_field_unpack(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", type="array", value=[1, 1]), steps.field_unpack(name="id", to_names=["id2", "id3"]), ], ) assert target.schema == { "fields": [ {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "id2"}, {"name": "id3"}, ] } assert target.read_rows() == [ {"name": "germany", "population": 83, "id2": 1, "id3": 1}, {"name": "france", "population": 66, "id2": 1, "id3": 1}, {"name": "spain", "population": 47, "id2": 1, "id3": 1}, ] def test_step_field_unpack_with_preserve(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", type="array", value=[1, 1]), steps.field_unpack(name="id", to_names=["id2", "id3"], preserve=True), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "array"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "id2"}, {"name": "id3"}, ] } assert target.read_rows() == [ {"id": [1, 1], "name": "germany", "population": 83, "id2": 1, "id3": 1}, {"id": [1, 1], "name": "france", "population": 66, "id2": 1, "id3": 1}, {"id": [1, 1], "name": "spain", "population": 47, "id2": 1, "id3": 1}, ] def test_step_field_unpack_source_is_object(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", type="object", value={"note": "eu"}), steps.field_unpack(name="id", to_names=["note"]), ], ) assert target.schema == { "fields": [ {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, {"name": "note"}, ] } assert target.read_rows() == [ {"name": "germany", "population": 83, "note": "eu"}, {"name": "france", "population": 66, "note": "eu"}, {"name": "spain", "population": 47, "note": "eu"}, ] # Update def test_step_field_update(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", type="string", function=str), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "string"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"id": "1", "name": "germany", "population": 83}, {"id": "2", "name": "france", "population": 66}, {"id": "3", "name": "spain", "population": 47}, ] def test_step_field_update_with_exact_value(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", type="string", value="x"), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "string"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"id": "x", "name": "germany", "population": 83}, {"id": "x", "name": "france", "population": 66}, {"id": "x", "name": "spain", "population": 47}, ] def test_step_field_update_new_name(): source = Resource(path="data/transform.csv") target = transform( source, steps=[ steps.field_update(name="id", new_name="new-name"), ], ) assert target.schema == { "fields": [ {"name": "new-name", "type": "integer"}, {"name": "name", "type": "string"}, {"name": "population", "type": "integer"}, ] } assert target.read_rows() == [ {"new-name": 1, "name": "germany", "population": 83}, {"new-name": 2, "name": "france", "population": 66}, {"new-name": 3, "name": "spain", "population": 47}, ] # Issues def test_transform_rename_move_field_issue_953(): target = transform( data=[ {"id": 1, "name": "germany", "population": 83}, {"id": 2, "name": "france", "population": 66}, {"id": 3, "name": "spain", "population": 47}, ], steps=[ steps.table_normalize(), steps.field_update(name="name", new_name="country"), steps.field_move(name="country", position=3), ], ) assert target.schema == { "fields": [ {"name": "id", "type": "integer"}, {"name": "population", "type": "integer"}, {"name": "country", "type": "string"}, ] } assert target.read_rows() == [ {"id": 1, "population": 83, "country": "germany"}, {"id": 2, "population": 66, "country": "france"}, {"id": 3, "population": 47, "country": "spain"}, ]

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py

Python

m3u8dl/__init__.py

OliverVermeulen/m3u8-dl

16d9b43ea2eeb9ee113acad2540d74c4ae92f496

[ "MIT" ]

46

2020-06-20T19:33:01.000Z

2022-03-22T03:24:41.000Z

m3u8dl/__init__.py

OliverVermeulen/m3u8-dl

16d9b43ea2eeb9ee113acad2540d74c4ae92f496

[ "MIT" ]

38

2020-07-18T19:34:00.000Z

2021-11-23T12:05:38.000Z

m3u8dl/__init__.py

OliverVermeulen/m3u8-dl

16d9b43ea2eeb9ee113acad2540d74c4ae92f496

[ "MIT" ]

22

2020-06-13T21:52:33.000Z

2022-03-06T11:44:42.000Z

"""Module starts the m3u8 program.""" from .core.m3u8dl import main def start(): main()

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py

Python

dfirtrack_api/tests/dfirtrack_main/company/test_company_api_views.py

cclauss/dfirtrack

2a307c5fe82e927b3c229a20a02bc0c7a5d66d9a

[ "Apache-2.0" ]

null

dfirtrack_api/tests/dfirtrack_main/company/test_company_api_views.py

cclauss/dfirtrack

2a307c5fe82e927b3c229a20a02bc0c7a5d66d9a

[ "Apache-2.0" ]

null

dfirtrack_api/tests/dfirtrack_main/company/test_company_api_views.py

cclauss/dfirtrack

2a307c5fe82e927b3c229a20a02bc0c7a5d66d9a

[ "Apache-2.0" ]

null

import urllib.parse from django.contrib.auth.models import User from django.test import TestCase from dfirtrack_main.models import Company, Division class CompanyAPIViewTestCase(TestCase): """ company API view tests """ @classmethod def setUpTestData(cls): # create object Division.objects.create(division_name='division_api_1') # create object Division.objects.create(division_name='division_api_2') # create object Company.objects.create( company_name='company_api_1' ) # create user User.objects.create_user(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') def test_company_list_api_unauthorized(self): """ unauthorized access is forbidden""" # get response response = self.client.get('/api/company/') # compare self.assertEqual(response.status_code, 401) def test_company_list_api_method_get(self): """ GET is allowed """ # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # get response response = self.client.get('/api/company/') # compare self.assertEqual(response.status_code, 200) def test_company_list_api_method_post(self): """ POST is allowed """ # get object division_id = str(Division.objects.get(division_name='division_api_2').division_id) # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # create POST string poststring = { "company_name": "company_api_2", "division": division_id, } # get response response = self.client.post('/api/company/', data=poststring) # compare self.assertEqual(response.status_code, 201) def test_company_list_api_redirect(self): """ test redirect with appending slash """ # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # create url destination = urllib.parse.quote('/api/company/', safe='/') # get response response = self.client.get('/api/company', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_company_detail_api_unauthorized (self): """ unauthorized access is forbidden""" # get object company_api_1 = Company.objects.get(company_name='company_api_1') # get response response = self.client.get('/api/company/' + str(company_api_1.company_id) + '/') # compare self.assertEqual(response.status_code, 401) def test_company_detail_api_method_get(self): """ GET is allowed """ # get object company_api_1 = Company.objects.get(company_name='company_api_1') # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # get response response = self.client.get('/api/company/' + str(company_api_1.company_id) + '/') # compare self.assertEqual(response.status_code, 200) def test_company_detail_api_method_delete(self): """ DELETE is forbidden """ # get object company_api_1 = Company.objects.get(company_name='company_api_1') # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # get response response = self.client.delete('/api/company/' + str(company_api_1.company_id) + '/') # compare self.assertEqual(response.status_code, 405) def test_company_detail_api_method_put(self): """ PUT is allowed """ # get object division_id = str(Division.objects.get(division_name='division_api_1').division_id) # get object company_api_1 = Company.objects.get(company_name='company_api_1') # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # create url destination = urllib.parse.quote('/api/company/' + str(company_api_1.company_id) + '/', safe='/') # create PUT string putstring = { "company_name": "new_company_api_1", "division": division_id, } # get response response = self.client.put(destination, data=putstring, content_type='application/json') # compare self.assertEqual(response.status_code, 200) def test_company_detail_api_redirect(self): """ test redirect with appending slash """ # get object company_api_1 = Company.objects.get(company_name='company_api_1') # login testuser self.client.login(username='testuser_company_api', password='tvjnIPBlhP9P3ixDHVE7') # create url destination = urllib.parse.quote('/api/company/' + str(company_api_1.company_id) + '/', safe='/') # get response response = self.client.get('/api/company/' + str(company_api_1.company_id), follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200)

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0.84488

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5,280

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0.123077

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0

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1

0

null

0

1

0

6

6f4c0bd65073bc1b8bfc793ed654204db8b97d92

35

py

Python

test/login.py

zedjax/test

500a7b66f7ef3d5d2dace90342cd10135bc3b7e5

[ "MIT" ]

null

test/login.py

zedjax/test

500a7b66f7ef3d5d2dace90342cd10135bc3b7e5

[ "MIT" ]

null

test/login.py

zedjax/test

500a7b66f7ef3d5d2dace90342cd10135bc3b7e5

[ "MIT" ]

null

a = 1 b = 2 c = a + b d = '668'

4.375

9

0.314286

9

35

1.222222

0.777778

0

0.277778

0.485714

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1

0

1

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null

0

6

489ea1d7c8fa654522ed9a8b784c2879f6325817

8,484

py

Python

intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/sensu/sensu_go/tests/unit/modules/test_datastore.py

Stienvdh/statrick

7b092fc42171e226718a70a285a4b323f2f395ad

[ "MIT" ]

null

intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/sensu/sensu_go/tests/unit/modules/test_datastore.py

Stienvdh/statrick

7b092fc42171e226718a70a285a4b323f2f395ad

[ "MIT" ]

null

intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/sensu/sensu_go/tests/unit/modules/test_datastore.py

Stienvdh/statrick

7b092fc42171e226718a70a285a4b323f2f395ad

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function __metaclass__ = type import pytest from ansible_collections.sensu.sensu_go.plugins.module_utils import ( errors, http, ) from ansible_collections.sensu.sensu_go.plugins.modules import datastore from .common.utils import ( AnsibleExitJson, AnsibleFailJson, ModuleTestCase, set_module_args, ) class TestSync(ModuleTestCase): def test_absent_no_current_object(self, mocker): client = mocker.Mock() client.get.return_value = http.Response(404, "") changed, object = datastore.sync( "absent", client, "/list", "/resource", {}, False, ) assert changed is False assert object is None def test_absent_no_current_object_check(self, mocker): client = mocker.Mock() client.get.return_value = http.Response(404, "") changed, object = datastore.sync( "absent", client, "/list", "/resource", {}, True, ) assert changed is False assert object is None def test_absent_current_object_present(self, mocker): client = mocker.Mock() client.get.return_value = http.Response(200, '{}') client.delete.return_value = http.Response(204, "") changed, object = datastore.sync( "absent", client, "/list", "/resource", {}, False, ) assert changed is True assert object is None client.delete.assert_called_with("/resource") def test_absent_current_object_present_check(self, mocker): client = mocker.Mock() client.get.return_value = http.Response(200, '{}') client.delete.return_value = http.Response(204, "") changed, object = datastore.sync( "absent", client, "/list", "/resource", {}, True, ) assert changed is True assert object is None client.delete.assert_not_called() def test_present_current_object_differ(self, mocker): client = mocker.Mock() client.get.side_effect = ( http.Response(200, '{"spec": {"current": "data"}}'), http.Response(200, '{"spec": {"new": "data"}}'), ) client.put.return_value = http.Response(201, "") changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, False, ) assert changed is True assert {"new": "data"} == object client.put.assert_called_once_with( "/resource", {"spec": {"my": "data"}}, ) def test_present_current_object_differ_check(self, mocker): client = mocker.Mock() client.get.return_value = ( http.Response(200, '{"spec": {"current": "data"}}') ) changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, True, ) assert changed is True assert {"my": "data"} == object client.put.assert_not_called() def test_present_current_object_does_not_differ(self, mocker): client = mocker.Mock() client.get.return_value = ( http.Response(200, '{"spec": {"my": "data"}}') ) changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, False, ) assert changed is False assert {"my": "data"} == object client.put.assert_not_called() def test_present_current_object_does_not_differ_check(self, mocker): client = mocker.Mock() client.get.return_value = ( http.Response(200, '{"spec": {"my": "data"}}') ) changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, True, ) assert changed is False assert {"my": "data"} == object client.put.assert_not_called() def test_present_no_current_object_empty_backend(self, mocker): client = mocker.Mock() client.get.side_effect = ( http.Response(404, ""), http.Response(200, "[]"), http.Response(200, '{"spec": {"new": "data"}}'), ) client.put.return_value = http.Response(201, "") changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, False, ) assert changed is True assert {"new": "data"} == object client.put.assert_called_once_with( "/resource", {"spec": {"my": "data"}}, ) def test_present_no_current_object_empty_backend_check(self, mocker): client = mocker.Mock() client.get.side_effect = ( http.Response(404, ""), http.Response(200, "[]"), ) changed, object = datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, True, ) assert changed is True assert {"my": "data"} == object client.put.assert_not_called() @pytest.mark.parametrize("check", [False, True]) def test_present_no_current_object_non_empty_backend(self, mocker, check): client = mocker.Mock() client.get.side_effect = ( http.Response(404, ""), http.Response(200, "[{}]"), ) with pytest.raises(errors.Error, match="already active"): datastore.sync( "present", client, "/list", "/resource", {"spec": {"my": "data"}}, check, ) client.put.assert_not_called() class TestDatastore(ModuleTestCase): def test_minimal_datastore_parameters_present(self, mocker): sync_mock = mocker.patch.object(datastore, "sync") sync_mock.return_value = True, {} set_module_args( name="test_datastore", dsn="my-dsn", ) with pytest.raises(AnsibleExitJson): datastore.main() state, _client, list_path, resource_path, payload, check_mode = ( sync_mock.call_args[0] ) assert state == "present" assert resource_path == "/api/enterprise/store/v1/provider/test_datastore" assert list_path == "/api/enterprise/store/v1/provider" assert payload == dict( type="PostgresConfig", api_version="store/v1", metadata=dict(name="test_datastore"), spec=dict(dsn="my-dsn"), ) assert check_mode is False def test_minimal_datastore_parameters_absent(self, mocker): sync_mock = mocker.patch.object(datastore, "sync") sync_mock.return_value = True, {} set_module_args( name="test_datastore", state="absent", ) with pytest.raises(AnsibleExitJson): datastore.main() state, _client, list_path, resource_path, _payload, check_mode = ( sync_mock.call_args[0] ) assert state == "absent" assert resource_path == "/api/enterprise/store/v1/provider/test_datastore" assert list_path == "/api/enterprise/store/v1/provider" assert check_mode is False def test_all_datastore_parameters(self, mocker): sync_mock = mocker.patch.object(datastore, "sync") sync_mock.return_value = True, {} set_module_args( name="test_datastore", dsn="my-dsn", pool_size=543, ) with pytest.raises(AnsibleExitJson): datastore.main() state, _client, list_path, resource_path, payload, check_mode = ( sync_mock.call_args[0] ) assert state == "present" assert resource_path == "/api/enterprise/store/v1/provider/test_datastore" assert list_path == "/api/enterprise/store/v1/provider" assert payload == dict( type="PostgresConfig", api_version="store/v1", metadata=dict(name="test_datastore"), spec=dict(dsn="my-dsn", pool_size=543), ) assert check_mode is False def test_failure(self, mocker): sync_mock = mocker.patch.object(datastore, "sync") sync_mock.side_effect = errors.Error("Bad error") set_module_args( name="test_datastore", dsn="my-dsn", ) with pytest.raises(AnsibleFailJson): datastore.main()

32.136364

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5.252232

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0.051424

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0.873778

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0.79983

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0.768168

0

0.012769

0.28925

8,484

263

83

32.258555

0.767662

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false

0

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0.004695

0

null

0

1

0

null

0

6

48a03431d2911d22cbd996d83abbfe3ae03b7724

80

py

Python

nes/bus/devices/apu/sq2_lo.py

Hexadorsimal/pynes

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

1

2017-05-13T18:57:09.000Z

nes/bus/devices/apu/sq2_lo.py

Hexadorsimal/py6502

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

7

2020-10-24T17:16:56.000Z

2020-11-01T14:10:23.000Z

nes/bus/devices/apu/sq2_lo.py

Hexadorsimal/pynes

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

null

from nes.processors.registers import Register class Sq2Lo(Register): pass

13.333333

45

0.775

10

80

6.2

0.9

0

0.014925

0.1625

80

5

46

16

0.910448

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

48a7834ccb8e3ca4aba0878cc3df94e60db56b34

2,436

py

Python

tensorplane/core/lib/attrs.py

jyhanna/tensorplane

ac2679cec18ccb3f5b1ba353e7e53e669e115c3f

[ "BSD-3-Clause" ]

1

2020-05-06T18:12:35.000Z

tensorplane/core/lib/attrs.py

jyhanna/tensorplane

ac2679cec18ccb3f5b1ba353e7e53e669e115c3f

[ "BSD-3-Clause" ]

null

tensorplane/core/lib/attrs.py

jyhanna/tensorplane

ac2679cec18ccb3f5b1ba353e7e53e669e115c3f

[ "BSD-3-Clause" ]

null

import sys class NullAssignment(object): """ """ def __init__(self): raise Exception('Cannot initialize null assignment, use type as flag.') def _UndefinedAttribute(x): return AttributeError('Attempted to access undefined dataset attribute {}'.format(x)) class UndefinedAttribute(object): """ """ def __init__(self, attr): self.value_ = attr def __getattribute__(self, name): if name == 'value_': return object.__getattribute__(self, name) else: raise _UndefinedAttribute(self.value_) def _raise_error(self, *args, **kwargs): raise _UndefinedAttribute(self.value_) def __getitem__(self, *args, **kwargs): raise _UndefinedAttribute(self.value_) def __setitem__(self, *args, **kwargs): raise _UndefinedAttribute(self.value_) def __truediv__(self, o): raise _UndefinedAttribute(self.value_) def __floordiv__(self, o): raise _UndefinedAttribute(self.value_) def __add__(self, o): raise _UndefinedAttribute(self.value_) def __sub__(self, o): raise _UndefinedAttribute(self.value_) def __mul__(self, o): raise _UndefinedAttribute(self.value_) def __mod__(self, o): raise _UndefinedAttribute(self.value_) def __pow__(self, o): raise _UndefinedAttribute(self.value_) def __lt__(self, o): raise _UndefinedAttribute(self.value_) def __gt__(self, o): raise _UndefinedAttribute(self.value_) def __le__(self, o): raise _UndefinedAttribute(self.value_) def __ge__(self, o): raise _UndefinedAttribute(self.value_) def __ne__(self, o): raise _UndefinedAttribute(self.value_) def __neg__(self, o): raise _UndefinedAttribute(self.value_) def __pos__(self, o): raise _UndefinedAttribute(self.value_) def __invert__(self, o): raise _UndefinedAttribute(self.value_) def __eq__(self, o): raise _UndefinedAttribute(self.value_) def __isub__(self, o): raise _UndefinedAttribute(self.value_) def __iadd__(self, o): raise _UndefinedAttribute(self.value_) def __imul__(self, o): raise _UndefinedAttribute(self.value_) def __idiv__(self, o): raise _UndefinedAttribute(self.value_) def __imod__(self, o): raise _UndefinedAttribute(self.value_) def __ipow__(self, o): raise _UndefinedAttribute(self.value_) def __ifloordiv__(self, o): raise _UndefinedAttribute(self.value_) def __str__(self, *args, **kwargs): raise _UndefinedAttribute(self.value_) def __repr__(self, *args, **kwargs): raise _UndefinedAttribute(self.value_)

22.145455

86

0.747947

288

2,436

5.677083

0.229167

0.165138

0.478899

0.567584

0.73211

0.710703

0.119878

0

0.137931

2,436

109

87

22.348624

0.778571

0

0.414286

0

0.044628

0

1

0.457143

false

0

0.014286

0.528571

0

null

0

1

0

1

0

null

0

1

0

1

0

6

48ef1378fbe74c9b26b5e5d01951ce3bf0893c95

38,045

py

Python

greykite/tests/framework/templates/test_silverkite_multistage_template.py

kenzie-q/greykite

9fb670b5325dd252759a490b31aa4d9494fdd68b

[ "BSD-2-Clause" ]

1,503

2021-05-13T02:43:42.000Z

2022-03-28T22:48:34.000Z

greykite/tests/framework/templates/test_silverkite_multistage_template.py

kenzie-q/greykite

9fb670b5325dd252759a490b31aa4d9494fdd68b

[ "BSD-2-Clause" ]

59

2021-05-15T07:23:18.000Z

2022-03-31T18:52:00.000Z

greykite/tests/framework/templates/test_silverkite_multistage_template.py

kenzie-q/greykite

9fb670b5325dd252759a490b31aa4d9494fdd68b

[ "BSD-2-Clause" ]

67

2021-05-13T02:44:04.000Z

2022-03-25T04:08:12.000Z

import datetime import numpy as np import pytest from testfixtures import LogCapture from greykite.common.constants import LOGGER_NAME from greykite.common.constants import PREDICTED_COL from greykite.common.constants import PREDICTED_LOWER_COL from greykite.common.constants import PREDICTED_UPPER_COL from greykite.common.constants import TIME_COL from greykite.common.constants import VALUE_COL from greykite.common.testing_utils import generate_df_for_tests from greykite.framework.templates.autogen.forecast_config import EvaluationPeriodParam from greykite.framework.templates.autogen.forecast_config import ForecastConfig from greykite.framework.templates.autogen.forecast_config import MetadataParam from greykite.framework.templates.autogen.forecast_config import ModelComponentsParam from greykite.framework.templates.forecaster import Forecaster from greykite.framework.templates.silverkite_multistage_template import SilverkiteMultistageTemplate from greykite.framework.templates.silverkite_multistage_template_config import SILVERKITE_TWO_STAGE from greykite.framework.templates.silverkite_multistage_template_config import SilverkiteMultistageTemplateConfig from greykite.framework.templates.simple_silverkite_template import SimpleSilverkiteTemplate from greykite.sklearn.estimator.simple_silverkite_estimator import SimpleSilverkiteEstimator from greykite.sklearn.uncertainty.uncertainty_methods import UncertaintyMethodEnum @pytest.fixture def df(): df = generate_df_for_tests( freq="H", periods=24 * 7 * 8, train_start_date=datetime.datetime(2018, 1, 1), conti_year_origin=2018)["df"] df["regressor"] = np.arange(len(df)) return df @pytest.fixture def silverkite_multistage_configs(): configs = [ SilverkiteMultistageTemplateConfig( train_length="30D", fit_length=None, agg_func="nanmean", agg_freq="D", model_template="SILVERKITE", model_components=ModelComponentsParam( seasonality={ "yearly_seasonality": 12, "quarterly_seasonality": 5, "monthly_seasonality": 5, "weekly_seasonality": 4, "daily_seasonality": 0, }, growth={ "growth_term": "linear" }, events={ "holidays_to_model_separately": "auto", "holiday_lookup_countries": "auto", "holiday_pre_num_days": 1, "holiday_post_num_days": 1, "holiday_pre_post_num_dict": None, "daily_event_df_dict": None, }, changepoints={ "changepoints_dict": None, "seasonality_changepoints_dict": None }, autoregression={ "autoreg_dict": "auto" }, regressors={ "regressor_cols": [] }, lagged_regressors={ "lagged_regressor_dict": None }, uncertainty={ "uncertainty_dict": None }, custom={ "fit_algorithm_dict": { "fit_algorithm": "ridge", "fit_algorithm_params": None, }, "feature_sets_enabled": "auto", # "auto" based on data freq and size "max_daily_seas_interaction_order": 0, "max_weekly_seas_interaction_order": 2, "extra_pred_cols": [], "min_admissible_value": None, "max_admissible_value": None, } ) ), SilverkiteMultistageTemplateConfig( train_length="7D", fit_length=None, agg_func="nanmean", agg_freq=None, model_template="SILVERKITE", model_components=ModelComponentsParam( seasonality={ "yearly_seasonality": 0, "quarterly_seasonality": 0, "monthly_seasonality": 0, "weekly_seasonality": 0, "daily_seasonality": 12, }, growth={ "growth_term": None }, events={ "holidays_to_model_separately": [], "holiday_lookup_countries": [], "holiday_pre_num_days": 0, "holiday_post_num_days": 0, "holiday_pre_post_num_dict": None, "daily_event_df_dict": None, }, changepoints={ "changepoints_dict": None, "seasonality_changepoints_dict": None }, autoregression={ "autoreg_dict": "auto" }, regressors={ "regressor_cols": [] }, lagged_regressors={ "lagged_regressor_dict": None }, uncertainty={ "uncertainty_dict": None }, custom={ "fit_algorithm_dict": { "fit_algorithm": "ridge", "fit_algorithm_params": None, }, "feature_sets_enabled": "auto", # "auto" based on data freq and size "max_daily_seas_interaction_order": 5, "max_weekly_seas_interaction_order": 2, "extra_pred_cols": [], "min_admissible_value": None, "max_admissible_value": None, } ) ) ] return configs @pytest.fixture def forecast_config(silverkite_multistage_configs): forecast_config = ForecastConfig( model_template="SILVERKITE_TWO_STAGE", forecast_horizon=12, metadata_param=MetadataParam( time_col=TIME_COL, value_col=VALUE_COL, freq="H" ), model_components_param=ModelComponentsParam( custom=dict( silverkite_multistage_configs=silverkite_multistage_configs ) ), evaluation_period_param=EvaluationPeriodParam( cv_max_splits=1, cv_horizon=12, test_horizon=12 ) ) return forecast_config def test_get_regressor_cols(df, forecast_config): """Tests the `self.get_regressor_cols` method.""" template = SilverkiteMultistageTemplate() df["reg1"] = 1 df["reg2"] = 2 template.df = df template.config = forecast_config forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.regressors["regressor_cols"] = ["reg1"] forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.regressors["regressor_cols"] = ["reg2"] regressor_cols = template.get_regressor_cols() assert set(regressor_cols) == {"reg1", "reg2"} def test_get_lagged_regressor_info(df, forecast_config): template = SilverkiteMultistageTemplate() df["reg1"] = 1 df["reg2"] = 2 template.df = df template.config = forecast_config forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.lagged_regressors["lagged_regressor_dict"] = [{ "reg1": { "lag_dict": {"orders": [12]}, "series_na_fill_func": lambda s: s.bfill().ffill()} }] forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.lagged_regressors["lagged_regressor_dict"] = [{ "reg2": { "lag_dict": {"orders": [12]}, "series_na_fill_func": lambda s: s.bfill().ffill()} }] lagged_regressor_info = template.get_lagged_regressor_info() assert lagged_regressor_info == dict( lagged_regressor_cols=["reg1", "reg2"], overall_min_lag_order=12.0, overall_max_lag_order=12.0 ) def test_get_hyperparameter_grid(df, forecast_config): template = SilverkiteMultistageTemplate() # Error when `self.config` is not available. with pytest.raises( ValueError, match="Forecast config must be provided"): template.get_hyperparameter_grid() template.df = df # Adds a list of length 2 to each submodel. # The result hyperparameter grid should have 2 * 2 = 4 grids. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.seasonality["weekly_seasonality"] = [1, 2] forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["daily_seasonality"] = [10, 12] template.config = forecast_config hyperparameter_grid = template.get_hyperparameter_grid() assert hyperparameter_grid["estimator__forecast_horizon"] == [12] assert hyperparameter_grid["estimator__freq"] == ["H"] assert len(hyperparameter_grid["estimator__model_configs"]) == 4 assert hyperparameter_grid["estimator__model_configs"][0][0].estimator_params["weekly_seasonality"] == 1 assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params["daily_seasonality"] == 10 assert hyperparameter_grid["estimator__model_configs"][1][0].estimator_params["weekly_seasonality"] == 1 assert hyperparameter_grid["estimator__model_configs"][1][1].estimator_params["daily_seasonality"] == 12 assert hyperparameter_grid["estimator__model_configs"][2][0].estimator_params["weekly_seasonality"] == 2 assert hyperparameter_grid["estimator__model_configs"][2][1].estimator_params["daily_seasonality"] == 10 assert hyperparameter_grid["estimator__model_configs"][3][0].estimator_params["weekly_seasonality"] == 2 assert hyperparameter_grid["estimator__model_configs"][3][1].estimator_params["daily_seasonality"] == 12 def test_get_hyperparameter_grid_same_template(df, forecast_config): # Tests the behavior of using the same ``model_template`` to override. template = SilverkiteMultistageTemplate() template.df = df # Sets weekly seasonality to 5. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["weekly_seasonality"] = 5 # Removes the daily seasonality specification. del forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["daily_seasonality"] template.config = forecast_config hyperparameter_grid = template.get_hyperparameter_grid() # The original template has daily seasonality 12 and no weekly seasonality. # The second model was overriden with the same ``model_template``, which is ``SILVERKITE``, # so the hyperparameter_grid should have both daily seasonality 12 and weekly seasonality 5. assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params["daily_seasonality"] == 12 assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params["weekly_seasonality"] == 5 def test_get_hyperparameter_grid_different_template(df, forecast_config): # Tests the behavior of using the different ``model_template`` to override. template = SilverkiteMultistageTemplate() template.df = df # Sets the model template to be ``SILVERKITE_EMPTY``. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_template = "SILVERKITE_EMPTY" # Sets weekly seasonality to 5. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["weekly_seasonality"] = 5 # Removes the daily seasonality specification. del forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["daily_seasonality"] template.config = forecast_config hyperparameter_grid = template.get_hyperparameter_grid() # The original template has daily seasonality 12 and no weekly seasonality. # The second model was overriden with a different ``model_template``, which is ``SILVERKITE_EMPTY``, # so the hyperparameter_grid should have only weekly seasonality 5 and daily seasonality 0. assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params["daily_seasonality"] == 0 assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params["weekly_seasonality"] == 5 def test_get_hyperparameter_grid_extra_configs(df, forecast_config): """Tests gets hyperparameter grid when the default and override have different lengths.""" # The empty template has no configs. # The override components has two configs. forecast_config.model_template = "SILVERKITE_MULTISTAGE_EMPTY" template = SilverkiteMultistageTemplate() template.df = df template.config = forecast_config # The grid should have exactly two configs which are the same as the override configs. hyperparameter_grid = template.get_hyperparameter_grid() assert hyperparameter_grid["estimator__model_configs"][0][0].estimator_params == { 'yearly_seasonality': 12, 'quarterly_seasonality': 5, 'monthly_seasonality': 5, 'weekly_seasonality': 4, 'daily_seasonality': 0, 'growth_term': 'linear', 'changepoints_dict': None, 'seasonality_changepoints_dict': None, 'holidays_to_model_separately': 'auto', 'holiday_lookup_countries': 'auto', 'holiday_pre_num_days': 1, 'holiday_post_num_days': 1, 'holiday_pre_post_num_dict': None, 'daily_event_df_dict': None, 'feature_sets_enabled': 'auto', 'fit_algorithm_dict': { 'fit_algorithm': 'ridge', 'fit_algorithm_params': None}, 'max_daily_seas_interaction_order': 0, 'max_weekly_seas_interaction_order': 2, 'extra_pred_cols': [], 'drop_pred_cols': None, 'explicit_pred_cols': None, 'min_admissible_value': None, 'max_admissible_value': None, 'autoreg_dict': 'auto', 'simulation_num': 10, 'normalize_method': None, 'regressor_cols': [], 'lagged_regressor_dict': None, 'regression_weight_col': None, 'uncertainty_dict': None, 'origin_for_time_vars': None, 'train_test_thresh': None, 'training_fraction': None} assert hyperparameter_grid["estimator__model_configs"][0][1].estimator_params == { 'yearly_seasonality': 0, 'quarterly_seasonality': 0, 'monthly_seasonality': 0, 'weekly_seasonality': 0, 'daily_seasonality': 12, 'growth_term': None, 'changepoints_dict': None, 'seasonality_changepoints_dict': None, 'holidays_to_model_separately': [], 'holiday_lookup_countries': [], 'holiday_pre_num_days': 0, 'holiday_post_num_days': 0, 'holiday_pre_post_num_dict': None, 'daily_event_df_dict': None, 'feature_sets_enabled': 'auto', 'fit_algorithm_dict': { 'fit_algorithm': 'ridge', 'fit_algorithm_params': None}, 'max_daily_seas_interaction_order': 5, 'max_weekly_seas_interaction_order': 2, 'extra_pred_cols': [], 'drop_pred_cols': None, 'explicit_pred_cols': None, 'min_admissible_value': None, 'max_admissible_value': None, 'normalize_method': None, 'autoreg_dict': 'auto', 'simulation_num': 10, 'regressor_cols': [], 'lagged_regressor_dict': None, 'regression_weight_col': None, 'uncertainty_dict': None, 'origin_for_time_vars': None, 'train_test_thresh': None, 'training_fraction': None} def test_get_silverkite_multistage_configs_override(df, forecast_config): template = SilverkiteMultistageTemplate() template.df = df # Adds a list of length 2 to each submodel. # The result hyperparameter grid should have 2 * 2 = 4 grids. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.seasonality["weekly_seasonality"] = [1, 2] forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["daily_seasonality"] = [10, 12] template.config = forecast_config default_model_components = template._SilverkiteMultistageTemplate__get_default_model_components( forecast_config.model_template) default_silverkite_multistage_configs = default_model_components.custom.get("silverkite_multistage_configs") new_configs = template._SilverkiteMultistageTemplate__get_silverkite_multistage_configs_override( custom=forecast_config.model_components_param.custom, model_template="SILVERKITE_TWO_STAGE", default_silverkite_multistage_configs=default_silverkite_multistage_configs ) assert new_configs == [ SilverkiteMultistageTemplateConfig( train_length='30D', fit_length=None, agg_func='nanmean', agg_freq='D', model_template='SILVERKITE', model_components=ModelComponentsParam( autoregression={ 'autoreg_dict': 'auto' }, changepoints={ 'changepoints_dict': None, 'seasonality_changepoints_dict': None }, custom={ 'fit_algorithm_dict': { 'fit_algorithm': 'ridge', 'fit_algorithm_params': None }, 'feature_sets_enabled': 'auto', 'max_daily_seas_interaction_order': 0, 'max_weekly_seas_interaction_order': 2, 'extra_pred_cols': [], 'min_admissible_value': None, 'max_admissible_value': None }, events={ 'holidays_to_model_separately': 'auto', 'holiday_lookup_countries': 'auto', 'holiday_pre_num_days': 1, 'holiday_post_num_days': 1, 'holiday_pre_post_num_dict': None, 'daily_event_df_dict': None }, growth={ 'growth_term': 'linear' }, hyperparameter_override={}, regressors={ 'regressor_cols': [] }, lagged_regressors={ 'lagged_regressor_dict': None }, seasonality={ 'yearly_seasonality': 12, 'quarterly_seasonality': 5, 'monthly_seasonality': 5, 'weekly_seasonality': [1, 2], 'daily_seasonality': 0}, uncertainty={ 'uncertainty_dict': None })), SilverkiteMultistageTemplateConfig( train_length='7D', fit_length=None, agg_func='nanmean', agg_freq=None, model_template='SILVERKITE', model_components=ModelComponentsParam( autoregression={ 'autoreg_dict': 'auto' }, changepoints={ 'changepoints_dict': None, 'seasonality_changepoints_dict': None }, custom={ 'fit_algorithm_dict': { 'fit_algorithm': 'ridge', 'fit_algorithm_params': None }, 'feature_sets_enabled': 'auto', 'max_daily_seas_interaction_order': 5, 'max_weekly_seas_interaction_order': 2, 'extra_pred_cols': [], 'min_admissible_value': None, 'max_admissible_value': None }, events={ 'holidays_to_model_separately': [], 'holiday_lookup_countries': [], 'holiday_pre_num_days': 0, 'holiday_post_num_days': 0, 'holiday_pre_post_num_dict': None, 'daily_event_df_dict': None }, growth={ 'growth_term': None }, hyperparameter_override={}, regressors={ 'regressor_cols': [] }, lagged_regressors={ 'lagged_regressor_dict': None }, seasonality={ 'yearly_seasonality': 0, 'quarterly_seasonality': 0, 'monthly_seasonality': 0, 'weekly_seasonality': 0, 'daily_seasonality': [10, 12] }, uncertainty={ 'uncertainty_dict': None }))] def test_get_estimators_and_params_from_template_configs(df, forecast_config): template = SilverkiteMultistageTemplate() template.df = df # Adds a list of length 2 to each submodel. # The result hyperparameter grid should have 2 * 2 = 4 grids. forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.seasonality["weekly_seasonality"] = [1, 2] forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][1].model_components.seasonality["daily_seasonality"] = [10, 12] template.config = forecast_config default_model_components = template._SilverkiteMultistageTemplate__get_default_model_components( forecast_config.model_template) default_silverkite_multistage_configs = default_model_components.custom.get("silverkite_multistage_configs") new_configs = template._SilverkiteMultistageTemplate__get_silverkite_multistage_configs_override( custom=forecast_config.model_components_param.custom, model_template="SILVERKITE_TWO_STAGE", default_silverkite_multistage_configs=default_silverkite_multistage_configs ) estimator_list, estimator_params_list = template._SilverkiteMultistageTemplate__get_estimators_and_params_from_template_configs( new_configs=new_configs ) # We can't test ``time_properties`` for d in estimator_params_list: del d["estimator__time_properties"] assert estimator_list == [SimpleSilverkiteEstimator, SimpleSilverkiteEstimator] assert estimator_params_list == [ { 'estimator__yearly_seasonality': [12], 'estimator__quarterly_seasonality': [5], 'estimator__monthly_seasonality': [5], 'estimator__weekly_seasonality': [1, 2], 'estimator__daily_seasonality': [0], 'estimator__growth_term': ['linear'], 'estimator__changepoints_dict': [None], 'estimator__seasonality_changepoints_dict': [None], 'estimator__holidays_to_model_separately': ['auto'], 'estimator__holiday_lookup_countries': ['auto'], 'estimator__holiday_pre_num_days': [1], 'estimator__holiday_post_num_days': [1], 'estimator__holiday_pre_post_num_dict': [None], 'estimator__daily_event_df_dict': [None], 'estimator__feature_sets_enabled': ['auto'], 'estimator__fit_algorithm_dict': [{ 'fit_algorithm': 'ridge', 'fit_algorithm_params': None}], 'estimator__max_daily_seas_interaction_order': [0], 'estimator__max_weekly_seas_interaction_order': [2], 'estimator__extra_pred_cols': [[]], 'estimator__drop_pred_cols': [None], 'estimator__explicit_pred_cols': [None], 'estimator__min_admissible_value': [None], 'estimator__max_admissible_value': [None], 'estimator__normalize_method': [None], 'estimator__autoreg_dict': ['auto'], 'estimator__simulation_num': [10], 'estimator__regressor_cols': [[]], 'estimator__lagged_regressor_dict': [None], 'estimator__regression_weight_col': [None], 'estimator__uncertainty_dict': [None], 'estimator__origin_for_time_vars': [None], 'estimator__train_test_thresh': [None], 'estimator__training_fraction': [None] }, { 'estimator__yearly_seasonality': [0], 'estimator__quarterly_seasonality': [0], 'estimator__monthly_seasonality': [0], 'estimator__weekly_seasonality': [0], 'estimator__daily_seasonality': [10, 12], 'estimator__growth_term': [None], 'estimator__changepoints_dict': [None], 'estimator__seasonality_changepoints_dict': [None], 'estimator__holidays_to_model_separately': [[]], 'estimator__holiday_lookup_countries': [[]], 'estimator__holiday_pre_num_days': [0], 'estimator__holiday_post_num_days': [0], 'estimator__holiday_pre_post_num_dict': [None], 'estimator__daily_event_df_dict': [None], 'estimator__feature_sets_enabled': ['auto'], 'estimator__fit_algorithm_dict': [{ 'fit_algorithm': 'ridge', 'fit_algorithm_params': None}], 'estimator__max_daily_seas_interaction_order': [5], 'estimator__max_weekly_seas_interaction_order': [2], 'estimator__extra_pred_cols': [[]], 'estimator__drop_pred_cols': [None], 'estimator__explicit_pred_cols': [None], 'estimator__min_admissible_value': [None], 'estimator__max_admissible_value': [None], 'estimator__normalize_method': [None], 'estimator__autoreg_dict': ['auto'], 'estimator__simulation_num': [10], 'estimator__regressor_cols': [[]], 'estimator__lagged_regressor_dict': [None], 'estimator__regression_weight_col': [None], 'estimator__uncertainty_dict': [None], 'estimator__origin_for_time_vars': [None], 'estimator__train_test_thresh': [None], 'estimator__training_fraction': [None] }] def test_flatten_estimator_params_list(): template = SilverkiteMultistageTemplate() x = [{ "estimator__a": [1], "estimator__b": [2, 3] }, { "estimator__c": [4, 5] }] flattened_params = template._SilverkiteMultistageTemplate__flatten_estimator_params_list( estimator_params_list=x ) assert flattened_params == [ [{'a': 1, 'b': 2}, {'c': 4}], [{'a': 1, 'b': 2}, {'c': 5}], [{'a': 1, 'b': 3}, {'c': 4}], [{'a': 1, 'b': 3}, {'c': 5}] ] def test_silverkite_multistage_model_template(df, forecast_config): forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert forecast_result.backtest is not None assert forecast_result.grid_search is not None assert forecast_result.forecast is not None assert len(forecast_result.model[-1].models) == 2 # Checks the forecast horizons in each model. assert forecast_result.model[-1].models[0].forecast_horizon == 1 # daily model assert forecast_result.model[-1].models[1].forecast_horizon == 12 # hourly model # Checks the autoregression orders are as expected. assert "y_lag1" in forecast_result.model[-1].models[0].model_dict["x_mat"].columns assert "y_lag12" in forecast_result.model[-1].models[1].model_dict["x_mat"].columns # Checks the forecast is not NAN assert len(forecast_result.forecast.df_test[PREDICTED_COL].dropna()) == len(forecast_result.forecast.df_test) assert len(forecast_result.backtest.df_test[PREDICTED_COL].dropna()) == len(forecast_result.backtest.df_test) def test_silverkite_multistage_model_template_with_regressor(df, forecast_config): forecaster = Forecaster() forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.regressors["regressor_cols"] = ["regressor"] df.iloc[-12:, 1] = np.nan forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert forecast_result.backtest is not None assert forecast_result.grid_search is not None assert forecast_result.forecast is not None assert len(forecast_result.model[-1].models) == 2 # Checks the forecast horizons in each model. assert forecast_result.model[-1].models[0].forecast_horizon == 1 # daily model assert forecast_result.model[-1].models[1].forecast_horizon == 12 # hourly model # Checks the autoregression orders are as expected. assert "y_lag1" in forecast_result.model[-1].models[0].model_dict["x_mat"].columns assert "y_lag12" in forecast_result.model[-1].models[1].model_dict["x_mat"].columns # Checks that the regressor column is included. assert "regressor" in forecast_result.model[-1].models[0].model_dict["x_mat"].columns # Checks the forecast is not NAN assert len(forecast_result.forecast.df_test[PREDICTED_COL].dropna()) == len(forecast_result.forecast.df_test) assert len(forecast_result.backtest.df_test[PREDICTED_COL].dropna()) == len(forecast_result.backtest.df_test) def test_silverkite_multistage_model_template_with_lagged_regressor(df, forecast_config): forecaster = Forecaster() forecast_config.model_components_param.custom[ "silverkite_multistage_configs"][0].model_components.lagged_regressors["lagged_regressor_dict"] = [{ "regressor": { "lag_dict": {"orders": [12]}, "series_na_fill_func": lambda s: s.bfill().ffill()} }] forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert forecast_result.backtest is not None assert forecast_result.grid_search is not None assert forecast_result.forecast is not None assert len(forecast_result.model[-1].models) == 2 # Checks the forecast horizons in each model. assert forecast_result.model[-1].models[0].forecast_horizon == 1 # daily model assert forecast_result.model[-1].models[1].forecast_horizon == 12 # hourly model # Checks the autoregression orders are as expected. assert "y_lag1" in forecast_result.model[-1].models[0].model_dict["x_mat"].columns assert "y_lag12" in forecast_result.model[-1].models[1].model_dict["x_mat"].columns # Checks that the regressor column is included. assert "regressor_lag12" in forecast_result.model[-1].models[0].model_dict["x_mat"].columns # Checks the forecast is not NAN assert len(forecast_result.forecast.df_test[PREDICTED_COL].dropna()) == len(forecast_result.forecast.df_test) assert len(forecast_result.backtest.df_test[PREDICTED_COL].dropna()) == len(forecast_result.backtest.df_test) def test_errors(df, forecast_config): # No configs with SILVERKITE_MULTISTAGE_EMPTY. template = SilverkiteMultistageTemplate() template.df = df forecast_config.model_components_param.custom["silverkite_multistage_configs"] = None forecast_config.model_template = "SILVERKITE_MULTISTAGE_EMPTY" template.config = forecast_config with pytest.raises( ValueError, match="``SILVERKITE_MULTISTAGE_EMPTY`` can not be used without over"): template.get_hyperparameter_grid() # The config has wrong type. template = SilverkiteMultistageTemplate() template.df = df forecast_config.model_components_param.custom["silverkite_multistage_configs"] = 5 forecast_config.model_template = "SILVERKITE_TWO_STAGE" template.config = forecast_config with pytest.raises( ValueError, match="The ``silverkite_multistage_configs`` parameter must be a list of"): template.get_hyperparameter_grid() def test_get_default_model_components(): template = SilverkiteMultistageTemplate() assert template._SilverkiteMultistageTemplate__get_default_model_components( "SILVERKITE_TWO_STAGE") == SILVERKITE_TWO_STAGE with pytest.raises( ValueError, match="The template name "): template._SilverkiteMultistageTemplate__get_default_model_components("some_template") def test_get_template_class(): template = SilverkiteMultistageTemplate() assert template._SilverkiteMultistageTemplate__get_template_class( ForecastConfig(model_template="SILVERKITE") ) == SimpleSilverkiteTemplate with pytest.raises( ValueError, match="Currently Silverkite Multistage only supports"): template._SilverkiteMultistageTemplate__get_template_class( ForecastConfig(model_template="DAILY_CP_NONE") ) def test_uncertainty(df, forecast_config): """Tests the uncertainty methods.""" # Tests no coverage and no uncertainty, there is no uncertainty. forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert PREDICTED_LOWER_COL not in forecast_result.backtest.df_test assert PREDICTED_LOWER_COL not in forecast_result.forecast.df_test # Tests coverage and no uncertainty, there is uncertainty. forecast_config.coverage = 0.99 forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert PREDICTED_LOWER_COL in forecast_result.backtest.df_test assert PREDICTED_LOWER_COL in forecast_result.forecast.df_test assert forecast_result.model[-1].coverage == 0.99 # Default method is used when coverage is given but ``uncertainty_dict`` is not given. assert (forecast_result.model[-1].uncertainty_model.UNCERTAINTY_METHOD == UncertaintyMethodEnum.simple_conditional_residuals.name) last_interval_width_99 = (forecast_result.forecast.df[PREDICTED_UPPER_COL].iloc[-1] - forecast_result.forecast.df[PREDICTED_LOWER_COL].iloc[-1]) # Tests coverage and uncertainty, there is uncertainty. forecast_config.model_components_param.uncertainty = dict( uncertainty_dict=dict( uncertainty_method=UncertaintyMethodEnum.simple_conditional_residuals.name, params=dict( conditional_cols=["dow"] ) ) ) forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert PREDICTED_LOWER_COL in forecast_result.backtest.df_test assert PREDICTED_LOWER_COL in forecast_result.forecast.df_test assert forecast_result.model[-1].coverage == 0.99 # The last 2 days intervals should have different lengths due to conditioning on "dow". last_day_interval_width_99 = (forecast_result.forecast.df[PREDICTED_UPPER_COL].iloc[-1] - forecast_result.forecast.df[PREDICTED_LOWER_COL].iloc[-1]) second_last_day_interval_width_99 = (forecast_result.forecast.df[PREDICTED_UPPER_COL].iloc[-25] - forecast_result.forecast.df[PREDICTED_LOWER_COL].iloc[-25]) assert last_day_interval_width_99 != second_last_day_interval_width_99 # Tests 95% coverage has narrower interval. forecast_config.coverage = 0.95 forecast_config.model_components_param.uncertainty = dict( uncertainty_dict=dict( uncertainty_method=UncertaintyMethodEnum.simple_conditional_residuals.name, params=dict() ) ) forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) assert PREDICTED_LOWER_COL in forecast_result.backtest.df_test assert PREDICTED_LOWER_COL in forecast_result.forecast.df_test assert forecast_result.model[-1].coverage == 0.95 # 95 interval is narrower than 99 interval. last_interval_width_95 = (forecast_result.forecast.df[PREDICTED_UPPER_COL].iloc[-1] - forecast_result.forecast.df[PREDICTED_LOWER_COL].iloc[-1]) assert last_interval_width_99 > last_interval_width_95 def test_uncertainty_fail(df, forecast_config): """Tests the pipeline won't fail when uncertainty fails.""" with LogCapture(LOGGER_NAME) as log_capture: forecast_config.coverage = 0.95 forecast_config.model_components_param.uncertainty = dict( uncertainty_dict=dict( uncertainty_method=UncertaintyMethodEnum.simple_conditional_residuals.name, params=dict( conditional_cols=["dowww"] ) ) ) forecaster = Forecaster() forecast_result = forecaster.run_forecast_config( df=df, config=forecast_config ) # The forecast is still generated. assert forecast_result.forecast is not None assert (LOGGER_NAME, "WARNING", "The following errors occurred during fitting the uncertainty model, " "the uncertainty model is skipped. " "The following conditional columns are not found in `train_df`: ['dowww'].") in log_capture.actual()

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48f29fca4dd3704e67362a86a0ff19caa204fa8e

57

py

Python

Pi/Python_Code/1_helloworld.py

erickmusembi/Robot-Project

ed22b342fae2fb7f89f9e933f6052ae3cdc0c982

[ "MIT" ]

1

2016-07-26T05:58:26.000Z

Pi/Python_Code/1_helloworld.py

erickmusembi/Robot-Project

ed22b342fae2fb7f89f9e933f6052ae3cdc0c982

[ "MIT" ]

null

Pi/Python_Code/1_helloworld.py

erickmusembi/Robot-Project

ed22b342fae2fb7f89f9e933f6052ae3cdc0c982

[ "MIT" ]

null

#!/usr/bin/python #Print Hello world print "Hello World!"

19

20

0.736842

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4.666667

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0.105263

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null

0

1

0

1

0

6

5b0be51a21049576f99818d53b6ebdcbb0dcc832

6,584

py

Python

tests/test_mmotifs.py

SaVoAMP/stumpy

d63963caaf6a8b64448953f638c1d3345e05a36a

[ "BSD-3-Clause" ]

null

tests/test_mmotifs.py

SaVoAMP/stumpy

d63963caaf6a8b64448953f638c1d3345e05a36a

[ "BSD-3-Clause" ]

null

tests/test_mmotifs.py

SaVoAMP/stumpy

d63963caaf6a8b64448953f638c1d3345e05a36a

[ "BSD-3-Clause" ]

null

import numpy as np import numpy.testing as npt import naive import pytest from stumpy import config, mmotifs test_data = [ np.array( [ [5.2, 0.1, 3.5, 3.4, 7.1, 9.8, 3.7, 5.0, 2.1, 4.3, 7.5, 6.8, 8.0, 8.1, 1.2], [ 7.3, 3.2, 5.0, 9.1, 8.2, 7.3, 4.8, 8.2, 10.0, 0.0, 4.1, 3.2, 2.3, 0.1, 1.4, ], [6.2, 7.6, 7.6, 8.4, 1.1, 5.9, 9.2, 8.5, 9.3, 4.6, 3.5, 0.0, 3.1, 5.3, 0.9], [ 0.1, 1.3, 3.0, 2.1, 6.2, 1.3, 9.5, 10.0, 1.8, 2.0, 2.1, 5.2, 1.3, 0.5, 4.3, ], ] ) ] @pytest.mark.parametrize("T", test_data) def test_mmotifs_with_default_parameters(T): motif_distances_ref = np.array([[0.0000000e00, 1.1151008e-07]]) motif_indices_ref = np.array([[2, 9]]) motif_subspaces_ref = [np.array([1])] motif_mdls_ref = [np.array([232.0, 250.57542476, 260.0, 271.3509059])] m = 4 excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs(T, P, I) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp) @pytest.mark.parametrize("T", test_data) def test_mmotifs_max_matches_none(T): motif_distances_ref = np.array([[0.0000000e00, 1.1151008e-07]]) motif_indices_ref = np.array([[2, 9]]) motif_subspaces_ref = [np.array([1])] motif_mdls_ref = [np.array([232.0, 250.57542476, 260.0, 271.3509059])] m = 4 excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs(T, P, I, max_matches=None) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp) @pytest.mark.parametrize("T", test_data) def test_mmotifs_more_motifs_when_cutoffs_3(T): motif_distances_ref = np.array([[0.0000000e00, 1.1151008e-07]]) motif_indices_ref = np.array([[2, 9]]) motif_subspaces_ref = [np.array([1])] motif_mdls_ref = [np.array([232.0, 250.57542476, 260.0, 271.3509059])] m = 4 excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs(T, P, I, cutoffs=3, max_motifs=10) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp) @pytest.mark.parametrize("T", test_data) def test_mmotifs_more_motifs_cutoffs_is_list(T): motif_distances_ref = np.array([[0.0000000e00, 1.1151008e-07]]) motif_indices_ref = np.array([[2, 9]]) motif_subspaces_ref = [np.array([1])] motif_mdls_ref = [np.array([232.0, 250.57542476, 260.0, 271.3509059])] m = 4 cutoffs = [2, 3, 4, 5] excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs(T, P, I, cutoffs=cutoffs, max_motifs=10) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp) @pytest.mark.parametrize("T", test_data) def test_mmotifs_max_matches_2_k_1(T): motif_distances_ref = np.array([[0.0, 0.20948156]]) motif_indices_ref = np.array([[2, 9]]) motif_subspaces_ref = [np.array([1, 3])] motif_mdls_ref = [np.array([232.0, 250.57542476, 260.0, 271.3509059])] m = 4 excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs(T, P, I, max_distance=np.inf, max_matches=2, k=1) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp) @pytest.mark.parametrize("T", test_data) def test_mmotifs_two_motif_pairs_max_motifs_2(T): motif_distances_ref = np.array( [[0.00000000e00, 1.11510080e-07], [1.68587394e-07, 2.58694429e-01]] ) motif_indices_ref = np.array([[2, 9], [6, 1]]) motif_subspaces_ref = [np.array([1]), np.array([2])] motif_mdls_ref = [ np.array([232.0, 250.57542476, 260.0, 271.3509059]), np.array([264.0, 280.0, 299.01955001, 310.51024953]), ] m = 4 excl_zone = int(np.ceil(m / config.STUMPY_EXCL_ZONE_DENOM)) P, I = naive.mstump(T, m, excl_zone) ( motif_distances_cmp, motif_indices_cmp, motif_subspaces_cmp, motif_mdls_cmp, ) = mmotifs( T, P, I, cutoffs=np.inf, max_motifs=2, max_distance=np.inf, max_matches=2 ) npt.assert_array_almost_equal(motif_distances_ref, motif_distances_cmp) npt.assert_array_almost_equal(motif_indices_ref, motif_indices_cmp) npt.assert_array_almost_equal(motif_subspaces_ref, motif_subspaces_cmp) npt.assert_array_almost_equal(motif_mdls_ref, motif_mdls_cmp)

32.433498

88

0.636239

992

6,584

3.878024

0.087702

0.049129

0.062386

0.124773

0.883026

0.881726

0.875227

0.842215

0.830777

0

0.101566

0.243317

6,584

202

89

32.594059

0.670614

0

0.633136

0

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1

0.035503

false

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0.065089

0

null

0

1

0

null

0

6

5b11294169a2545ace4b590947a477913a992f6b

238

py

Python

loss/loss_functions.py

vishalmanes109/nn-from-scratch

53de76f39dfea3f625ec542536f0ab3bc44d0224

[ "MIT" ]

2

2020-10-09T05:50:14.000Z

2021-04-10T08:52:03.000Z

loss/loss_functions.py

vishalmanes109/nn-from-scratch

53de76f39dfea3f625ec542536f0ab3bc44d0224

[ "MIT" ]

null

loss/loss_functions.py

vishalmanes109/nn-from-scratch

53de76f39dfea3f625ec542536f0ab3bc44d0224

[ "MIT" ]

null

import numpy as np def MSE(y, yhat): return np.mean(np.power(y-yhat, 2)) def dMSE(y, yhat): return 2*(yhat-y)/y.size def MAE(y, yhat): return np.sum(np.abs(y-yhat)) def dMAE(y, yhat): return 1 if y == yhat else -1

13.222222

39

0.60084

48

238

2.979167

0.4375

0.244755

0.307692

0.181818

0

0.021858

0.231092

238

17

40

14

0.759563

0

1

0.444444

false

0

0.111111

0.444444

1

0

null

1

0

null

0

1

0

1

0

6

d2a6ab70e363fde2950efb4452d60062fc79d8a3

103

py

Python

odf/web/__main__.py

steven-hh-ding/OD1NF1ST

730d8690d745f80dcda6deb27a424b5254243de8

[ "Apache-2.0" ]

null

odf/web/__main__.py

steven-hh-ding/OD1NF1ST

730d8690d745f80dcda6deb27a424b5254243de8

[ "Apache-2.0" ]

1

2021-11-16T20:18:58.000Z

odf/web/__main__.py

steven-hh-ding/OD1NF1ST

730d8690d745f80dcda6deb27a424b5254243de8

[ "Apache-2.0" ]

1

2021-11-16T00:42:48.000Z

from odf.web import start_integrated_server if __name__ == '__main__': start_integrated_server()

17.166667

43

0.776699

13

103

5.230769

0.769231

0.441176

0.617647

0

0.145631

103

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0

0.07767

0

1

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true

0

0.333333

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0.333333

0

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0

null

1

0

1

0

null

0

1

0

1

0

6

d2b917b10d6195448d81c6382d50ca4fa26c03d7

65,070

py

Python

crnet_small.py

crwsr124/GANsNRoses

9f1a5455a3d448a9b25538bc32e878cb96be0933

[ "MIT" ]

null

crnet_small.py

crwsr124/GANsNRoses

9f1a5455a3d448a9b25538bc32e878cb96be0933

[ "MIT" ]

null

crnet_small.py

crwsr124/GANsNRoses

9f1a5455a3d448a9b25538bc32e878cb96be0933

[ "MIT" ]

null

from math import factorial import torch import torch.nn as nn from torch.nn.modules.padding import ReflectionPad2d from torch.nn.modules.pooling import FractionalMaxPool2d from torch.nn.parameter import Parameter import math class PixelNorm(nn.Module): def __init__(self, num_channels=None): super().__init__() # num_channels is only used to match function signature with other normalization layers # it has no actual use def forward(self, input): return input / torch.sqrt(torch.mean(input ** 2, dim=1, keepdim=True) + 1e-5) class MLP(nn.Module): def __init__(self, inc, dim, n_layers): super().__init__() ActFunc = nn.LeakyReLU(0.2) mlp = [PixelNorm(), nn.Linear(inc, dim), ActFunc, PixelNorm()] for i in range(n_layers-2): mlp.extend([ nn.Linear(dim, dim), ActFunc, PixelNorm() ]) mlp.extend( [nn.Linear(dim, dim), PixelNorm()]) self.dim = dim self.mlp = nn.Sequential(*mlp) def forward(self, x): b, c = x.size(0), x.size(1) x = x.view(b, c) x = self.mlp(x) return x class LayerInstanceNorm(nn.Module): def __init__(self, dim): super().__init__() self.eps = 1e-6 self.gamma = nn.Parameter(torch.FloatTensor(1, dim, 1, 1).fill_(1.0)) self.beta = nn.Parameter(torch.FloatTensor(1, dim, 1, 1).fill_(0.0)) self.rho = nn.Parameter(torch.FloatTensor(1, dim, 1, 1).fill_(0.0)) def forward(self, x): b, c, h, w = x.shape ins_mean = x.view(b, c, -1).mean(dim=2).view(b, c, 1, 1) ins_val = x.view(b, c, -1).var(dim=2).view(b, c, 1, 1) + self.eps ins_std = ins_val.sqrt() ln_mean = x.view(b, -1).mean(dim=1).view(b, 1, 1, 1) ln_val = x.view(b, -1).var(dim=1).view(b, 1, 1, 1) + self.eps ln_std = ln_val.sqrt() rho = torch.clamp(self.rho, 0, 1) x_ins = (x - ins_mean) / ins_std x_ln = (x - ln_mean) / ln_std x_hat = rho * x_ins + (1 - rho) * x_ln return x_hat * self.gamma + self.beta class AdaLIN(nn.Module): def __init__(self, z_dim=256): super().__init__() self.eps = 1e-6 self.rho = nn.Parameter(torch.FloatTensor(1).fill_(1.0)) self.gamma = nn.Linear(z_dim, z_dim) self.beta = nn.Linear(z_dim, z_dim) def forward(self, x, z): b,c,h,w = x.shape ins_mean = x.view(b,c, -1).mean(dim=2).view(b, c, 1, 1) ins_var = x.view(b,c,-1).var(dim=2) + self.eps ins_std = ins_var.sqrt().view(b, c, 1, 1) x_ins = (x - ins_mean) / ins_std ln_mean = x.view(b, -1).mean(dim=1).view(b, 1, 1, 1) ln_val = x.view(b, -1).var(dim=1).view(b, 1, 1, 1) + self.eps ln_std = ln_val.sqrt() x_ln = (x - ln_mean) / ln_std rho = (self.rho - 0.1).clamp(0, 1.0) # smoothing x_hat = rho * x_ins + (1-rho) * x_ln gamma = self.gamma(z).view(b, c, 1, 1) beta = self.beta(z).view(b, c, 1, 1) # print("::::::::sss") # print(gamma) # print(beta) x_hat = x_hat * gamma + beta # x_hat = x_hat * 1.5 + 5 return x_hat class ResBlockByAdaLIN(nn.Module): def __init__(self, dim): super().__init__() fan_in = dim * 3 ** 2 self.scale = 1 / math.sqrt(fan_in) self.conv1 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, 3, 1, 0, groups=dim//4), ) self.conv2 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, 3, 1, 0, groups=dim//4), ) self.addin_1 = AdaLIN(dim) self.addin_2 = AdaLIN(dim) # self.relu = nn.ReLU() self.relu = nn.LeakyReLU(0.2, True) def forward(self, x, z): x1 = self.conv1(x) x1 = self.relu(self.addin_1(x1, z)) x2 = self.conv2(x1) x2 = self.addin_2(x2, z) return x + x2 class CRGenerator_small(nn.Module): def __init__(self, input_nc=3, output_nc=3, ngf=64, n_blocks=6, img_size=256, light=False): assert(n_blocks >= 0) super(CRGenerator_small, self).__init__() self.input_nc = input_nc self.output_nc = output_nc self.ngf = ngf self.n_blocks = n_blocks self.img_size = img_size self.light = light self.encoder = CREncoder2() self.decoder = CRDecoder() def forward(self, input, z_noise): encoder_out, feature, z, cam_logit, heatmap = self.encoder(input) z = z + z_noise out = self.decoder(encoder_out, z) return out, cam_logit, heatmap, encoder_out, feature, z class CREncoder(nn.Module): def __init__(self): # assert(n_blocks >= 0) super(CREncoder, self).__init__() self.input_nc = 3 self.output_nc = 256 # self.ngf = 64 self.n_blocks = 6 self.img_size = 256 self.light = False # in:256x256 out:256x256 self.DownBlock1 = nn.Sequential( nn.ReflectionPad2d(3), nn.Conv2d(self.input_nc, 64, kernel_size=7, stride=1, padding=0, bias=False), nn.InstanceNorm2d(64), nn.ReLU(True)) # in:256x256 out:128x128 self.DownBlock2 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(128), nn.ReLU(True)) # in:128x128 out:64x64 self.DownBlock3 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # in:64x64 out:32x32 self.DownBlock4 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # in:32x32 out:16x16 self.DownBlock5 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # in:16x16 out:8x8 self.DownBlock6 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # Down-Sampling Bottleneck self.ResBlock = nn.Sequential( ResnetBlock(256, use_bias=False), ResnetBlock(256, use_bias=False), ResnetBlock(256, use_bias=False)) # Class Activation Map self.gap_fc = nn.Linear(256, 1, bias=False) self.gmp_fc = nn.Linear(256, 1, bias=False) self.conv1x1 = nn.Conv2d(256 * 2, 256, kernel_size=1, stride=1, bias=True) self.relu = nn.ReLU(True) # z generator self.FC = nn.Sequential( nn.Linear(256*8*8, 256, bias=False), nn.ReLU(True), nn.Linear(256, 256, bias=False)) def forward(self, input): # downsample x = self.DownBlock1(input) #print("1: " + str(x.shape)) x = self.DownBlock2(x) #print("2: " + str(x.shape)) encoder_out = self.DownBlock3(x) x = self.DownBlock4(encoder_out) #print("4: " + str(x.shape)) x = self.DownBlock5(x) #print("5: " + str(x.shape)) x = self.DownBlock6(x) #print("6: " + str(x.shape)) # CAM gap = torch.nn.functional.adaptive_avg_pool2d(x, 1) gap_logit = self.gap_fc(gap.view(x.shape[0], -1)) gap_weight = list(self.gap_fc.parameters())[0] gap = encoder_out * gap_weight.unsqueeze(2).unsqueeze(3) gmp = torch.nn.functional.adaptive_max_pool2d(x, 1) gmp_logit = self.gmp_fc(gmp.view(x.shape[0], -1)) gmp_weight = list(self.gmp_fc.parameters())[0] gmp = encoder_out * gmp_weight.unsqueeze(2).unsqueeze(3) cam_logit = torch.cat([gap_logit, gmp_logit], 1) encoder_out = torch.cat([gap, gmp], 1) encoder_out = self.relu(self.conv1x1(encoder_out)) #print("7encoder_out: " + str(encoder_out.shape)) heatmap = torch.sum(encoder_out, dim=1, keepdim=True) #print("8: " + str(heatmap.shape)) # z feature = self.ResBlock(x) #print("9: " + str(feature.shape)) z = self.FC(feature.view(feature.shape[0], -1)) #print("10: " + str(z.shape)) return encoder_out, feature, z, cam_logit, heatmap class CREncoder2(nn.Module): def __init__(self): # assert(n_blocks >= 0) super(CREncoder2, self).__init__() self.input_nc = 3 self.output_nc = 256 # self.ngf = 64 self.n_blocks = 6 self.img_size = 256 self.light = False # in:256x256 out:256x256 self.DownBlock1 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(self.input_nc, 64, kernel_size=3, stride=1, padding=0, bias=False), nn.InstanceNorm2d(64), nn.ReLU(True)) # in:256x256 out:128x128 self.DownBlock2 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(128), nn.ReLU(True)) # in:128x128 out:64x64 self.DownBlock3 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) self.content_ResBlock = nn.Sequential( ResnetBlock(256, use_bias=False)) # nn.UpsamplingBilinear2d(scale_factor=2), # nn.ReflectionPad2d(1), # nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=0, bias=False), # nn.InstanceNorm2d(256), # nn.ReLU(True)) # in:64x64 out:32x32 self.DownBlock4 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # in:32x32 out:16x16 self.DownBlock5 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, groups=256, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # in:16x16 out:8x8 self.DownBlock6 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=0, groups=256, bias=False), nn.InstanceNorm2d(256), nn.ReLU(True)) # Down-Sampling Bottleneck self.ResBlock = nn.Sequential( ResnetBlock(256, use_bias=False), ResnetBlock(256, use_bias=False), ResnetBlock(256, use_bias=False)) # Class Activation Map self.gap_fc = nn.Linear(256, 1, bias=False) self.gmp_fc = nn.Linear(256, 1, bias=False) self.conv1x1 = nn.Conv2d(256 * 2, 256, kernel_size=1, stride=1, bias=True) self.relu = nn.ReLU(True) # z generator self.FC = nn.Sequential( nn.Linear(256*8*8, 256, bias=False), nn.LeakyReLU(True), nn.Linear(256, 256, bias=False)) def forward(self, input): # downsample x = self.DownBlock1(input) #print("1: " + str(x.shape)) x = self.DownBlock2(x) # print("2: " + str(x.shape)) encoder_out_before = self.DownBlock3(x) x = self.DownBlock4(encoder_out_before) # print("4: " + str(encoder_out_begore.shape)) x = self.DownBlock5(x) # print("5: " + str(x.shape)) x = self.DownBlock6(x) # print("6: " + str(x.shape)) # CAM gap = torch.nn.functional.adaptive_avg_pool2d(encoder_out_before, 1) gap_logit = self.gap_fc(gap.view(x.shape[0], -1)) gap_weight = list(self.gap_fc.parameters())[0] gap = encoder_out_before * gap_weight.unsqueeze(2).unsqueeze(3) gmp = torch.nn.functional.adaptive_max_pool2d(encoder_out_before, 1) gmp_logit = self.gmp_fc(gmp.view(x.shape[0], -1)) gmp_weight = list(self.gmp_fc.parameters())[0] gmp = encoder_out_before * gmp_weight.unsqueeze(2).unsqueeze(3) cam_logit = torch.cat([gap_logit, gmp_logit], 1) encoder_out_before = torch.cat([gap, gmp], 1) encoder_out_before = self.relu(self.conv1x1(encoder_out_before)) encoder_out = self.content_ResBlock(encoder_out_before) heatmap = torch.sum(encoder_out, dim=1, keepdim=True) #print("8: " + str(heatmap.shape)) # print("7encoder_out: " + str(encoder_out.shape)) feature = self.ResBlock(x) #print("9: " + str(feature.shape)) z = self.FC(feature.view(feature.shape[0], -1)) #print("10: " + str(z.shape)) return encoder_out, feature, z, cam_logit, heatmap class UpsampleBlock(nn.Module): def __init__(self, inc, outc, k, s, group): super(UpsampleBlock, self).__init__() up = [] up += [nn.Upsample(scale_factor=2, mode='nearest'), nn.ReflectionPad2d(1), nn.Conv2d(inc, outc, kernel_size=k, stride=s, padding=0, bias=False, groups = group)] self.up = nn.Sequential(*up) self.fc = nn.Linear(inc, outc, bias=False) self.relu1 = nn.ReLU(True) self.adalin = AdaLIN(outc) self.relu2 = nn.ReLU(True) def forward(self, x, z): #print("11111111k:::::::::::::::::: " + str(x.shape)) x = self.up(x) z = self.relu1(self.fc(z)) x = self.adalin(x, z) x = self.relu2(x) return x, z class UpsampleBlock3(nn.Module): def __init__(self, inc, outc, k, s, group): super(UpsampleBlock3, self).__init__() fan_in = inc * 3 ** 2 self.scale = 1 / math.sqrt(fan_in) up = [] up += [nn.Upsample(scale_factor=2, mode='bilinear'), nn.ReflectionPad2d(1), nn.Conv2d(inc, outc, kernel_size=k, stride=s, padding=0, bias=False, groups = group)] self.up = nn.Sequential(*up) self.fc = nn.Linear(512, outc, bias=True) self.relu1 = nn.LeakyReLU(0.2, True) self.adalin = AdaLIN(outc) self.relu2 = nn.LeakyReLU(0.2, True) self.rgb_up = nn.Upsample(scale_factor=2, mode='bilinear') self.conv2rgb = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(outc, 3, kernel_size=k, stride=s, padding=0, bias=True, groups = 1), # nn.LeakyReLU(0.2, True) ) self.rgb_fc = nn.Linear(512, 3, bias=True) self.rgb_relu = nn.LeakyReLU(0.2, True) self.rgb_adalin = AdaLIN(3) def forward(self, x, z, rgb): x = self.up(x)*self.scale # print("11111111k:::::::::::::::::: " + str(x.shape)) z1 = self.relu1(self.fc(z)) # print("11111112k:::::::::::::::::: " + str(z.shape)) x = self.adalin(x, z1) x = self.relu2(x) z_rgb = self.rgb_relu(self.rgb_fc(z)) ttt = self.rgb_adalin(self.conv2rgb(x), z_rgb) rgb = self.rgb_up(rgb) + ttt*self.scale return x, rgb class UpsampleBlock2(nn.Module): def __init__(self, inc, outc, k, s, group): super(UpsampleBlock2, self).__init__() up = [] up += [nn.Upsample(scale_factor=2, mode='nearest'), nn.ReflectionPad2d(1), nn.Conv2d(inc, outc, kernel_size=k, stride=s, padding=0, bias=False, groups = group)] self.up = nn.Sequential(*up) self.lin = LayerInstanceNorm(outc) def forward(self, x, z): #print("11111111k:::::::::::::::::: " + str(x.shape)) x = self.up(x) x = self.lin(x) return x class CRDecoder(nn.Module): def __init__(self): # assert(n_blocks >= 0) super(CRDecoder, self).__init__() self.input_nc = 256 self.output_nc = 3 # self.ngf = 64 self.n_blocks = 3 self.img_size = 256 self.light = False # MLP self.mlp = MLP(256, 256, 8) adain_resblock = [] for i in range(self.n_blocks): adain_resblock.append(ResBlockByAdaLIN(256)) self.adain_resblocks = nn.ModuleList(adain_resblock) # in:64x64 out:128x128 self.upsample1 = UpsampleBlock2(256, 64, k = 3, s = 1, group=4) # in:128x128 out:256x256 self.upsample2 = UpsampleBlock2(64, 32, k = 3, s = 1, group=2) # final final = [nn.ReflectionPad2d(3), nn.Conv2d(32, self.output_nc, kernel_size=7, stride=1, padding=0, bias=False, groups=1), nn.Tanh()] self.final = nn.Sequential(*final) def forward(self, x, z): z = self.mlp(z) # b, 256 #print("11: " + str(z.shape)) #print("12: " + str(x.shape)) for i in range(self.n_blocks): x = self.adain_resblocks[i](x, z) #print("12k:::::::::::::::::: " + str(x.shape)) x = self.upsample1(x, z) x = self.upsample2(x, z) out = self.final(x) return out class CRDecoder_rose(nn.Module): def __init__(self): # assert(n_blocks >= 0) super(CRDecoder_rose, self).__init__() self.input_nc = 512 self.output_nc = 3 # self.ngf = 64 self.n_blocks = 3 self.img_size = 256 self.light = False # MLP self.mlp = MLP(8, 512, 8) adain_resblock = [] for i in range(self.n_blocks): adain_resblock.append(ResBlockByAdaLIN(512)) self.adain_resblocks = nn.ModuleList(adain_resblock) # in:16x16 out:32x32 self.upsample1 = UpsampleBlock(512, 256, k = 3, s = 1, group=4) # in:32x32 out:64x64 self.upsample2 = UpsampleBlock(256, 128, k = 3, s = 1, group=4) # in:64x64 out:128x128 self.upsample3 = UpsampleBlock(128, 64, k = 3, s = 1, group=4) # in:128x128 out:256x256 self.upsample4 = UpsampleBlock(64, 32, k = 3, s = 1, group=2) # final final = [nn.ReflectionPad2d(3), nn.Conv2d(32, self.output_nc, kernel_size=7, stride=1, padding=0, bias=False, groups=1), nn.Tanh()] self.final = nn.Sequential(*final) self.initialize_module(self) def initialize_module(self, module): for m in module.modules(): # print(":::::::::::::::::::") # print(m) if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)): nn.init.kaiming_uniform_(m.weight, mode="fan_in", nonlinearity="relu") if m.bias is not None: nn.init.constant_(m.bias, 0) elif isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1) nn.init.constant_(m.bias, 0) elif isinstance(m, nn.Linear): nn.init.xavier_uniform_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) def forward(self, x, z): z = self.mlp(z) # b, 256 #print("11: " + str(z.shape)) #print("12: " + str(x.shape)) for i in range(self.n_blocks): x = self.adain_resblocks[i](x, z) #print("12k:::::::::::::::::: " + str(x.shape)) x, z = self.upsample1(x, z) x, z = self.upsample2(x, z) x, z = self.upsample3(x, z) x, z = self.upsample4(x, z) out = self.final(x) return out class CRDecoder_rose3(nn.Module): def __init__(self): # assert(n_blocks >= 0) super(CRDecoder_rose3, self).__init__() self.input_nc = 512 self.output_nc = 3 # self.ngf = 64 self.n_blocks = 1 self.img_size = 256 self.light = False fan_in = self.input_nc * 3 ** 2 self.scale = 1 / math.sqrt(fan_in) # MLP self.mlp = MLP(8, 512, 8) adain_resblock = [] for i in range(self.n_blocks): adain_resblock.append(ResBlockByAdaLIN(512)) self.adain_resblocks = nn.ModuleList(adain_resblock) self.conv2rgb = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(512, 3, kernel_size=3, stride=1, padding=0, bias=True, groups = 1), # nn.LeakyReLU(0.2, True) ) self.rgb_fc = nn.Linear(512, 3, bias=True) self.rgb_relu = nn.LeakyReLU(0.2, True) self.rgb_adalin = AdaLIN(3) # in:16x16 out:32x32 self.upsample1 = UpsampleBlock3(512, 256, k = 3, s = 1, group=4) # in:32x32 out:64x64 self.upsample2 = UpsampleBlock3(256, 128, k = 3, s = 1, group=4) # in:64x64 out:128x128 self.upsample3 = UpsampleBlock3(128, 64, k = 3, s = 1, group=4) # in:128x128 out:256x256 self.upsample4 = UpsampleBlock3(64, 32, k = 3, s = 1, group=2) # final final = [nn.ReflectionPad2d(3), nn.Conv2d(32, self.output_nc, kernel_size=7, stride=1, padding=0, bias=False, groups=1), nn.Tanh()] self.final = nn.Sequential(*final) self.initialize_module(self) def initialize_module(self, module): for m in module.modules(): # print(":::::::::::::::::::") # print(m) if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)): nn.init.kaiming_uniform_(m.weight, mode="fan_in", nonlinearity="leaky_relu") if m.bias is not None: nn.init.constant_(m.bias, 0) elif isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1) nn.init.constant_(m.bias, 0) elif isinstance(m, nn.Linear): nn.init.xavier_uniform_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) def forward(self, x, z): z = self.mlp(z) # b, 256 # print("11: " + str(z)) #print("12: " + str(x.shape)) for i in range(self.n_blocks): x = self.adain_resblocks[i](x, z)*self.scale # print (x.shape) rgb_z = self.rgb_relu(self.rgb_fc(z)) rgb = self.rgb_adalin(self.conv2rgb(x), rgb_z)*self.scale # rgb = self.conv2rgb(x)*self.scale # print (rgb) x, rgb = self.upsample1(x, z, rgb) x, rgb = self.upsample2(x, z, rgb) x, rgb = self.upsample3(x, z, rgb) x, rgb = self.upsample4(x, z, rgb) # out = self.final(x) return rgb class ResnetBlock(nn.Module): def __init__(self, dim, use_bias): super(ResnetBlock, self).__init__() conv_block = [] conv_block += [nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=0, bias=use_bias), nn.InstanceNorm2d(dim), nn.ReLU(True)] conv_block += [nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=0, bias=use_bias), nn.InstanceNorm2d(dim)] self.conv_block = nn.Sequential(*conv_block) def forward(self, x): out = x + self.conv_block(x) return out class ResnetAdaILNBlock(nn.Module): def __init__(self, dim, use_bias): super(ResnetAdaILNBlock, self).__init__() self.pad1 = nn.ReflectionPad2d(1) self.conv1 = nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=0, bias=use_bias) self.norm1 = adaILN(dim) self.relu1 = nn.ReLU(True) self.pad2 = nn.ReflectionPad2d(1) self.conv2 = nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=0, bias=use_bias) self.norm2 = adaILN(dim) def forward(self, x, gamma, beta): out = self.pad1(x) out = self.conv1(out) out = self.norm1(out, gamma, beta) out = self.relu1(out) out = self.pad2(out) out = self.conv2(out) out = self.norm2(out, gamma, beta) return out + x class adaILN(nn.Module): def __init__(self, num_features, eps=1e-5): super(adaILN, self).__init__() self.eps = eps self.rho = Parameter(torch.Tensor(1, num_features, 1, 1)) self.rho.data.fill_(0.9) def forward(self, input, gamma, beta): in_mean, in_var = torch.mean(input, dim=[2, 3], keepdim=True), torch.var(input, dim=[2, 3], keepdim=True) out_in = (input - in_mean) / torch.sqrt(in_var + self.eps) ln_mean, ln_var = torch.mean(input, dim=[1, 2, 3], keepdim=True), torch.var(input, dim=[1, 2, 3], keepdim=True) out_ln = (input - ln_mean) / torch.sqrt(ln_var + self.eps) out = self.rho.expand(input.shape[0], -1, -1, -1) * out_in + (1-self.rho.expand(input.shape[0], -1, -1, -1)) * out_ln out = out * gamma.unsqueeze(2).unsqueeze(3) + beta.unsqueeze(2).unsqueeze(3) return out class ILN(nn.Module): def __init__(self, num_features, eps=1e-5): super(ILN, self).__init__() self.eps = eps self.rho = Parameter(torch.Tensor(1, num_features, 1, 1)) self.gamma = Parameter(torch.Tensor(1, num_features, 1, 1)) self.beta = Parameter(torch.Tensor(1, num_features, 1, 1)) self.rho.data.fill_(0.0) self.gamma.data.fill_(1.0) self.beta.data.fill_(0.0) def forward(self, input): in_mean, in_var = torch.mean(input, dim=[2, 3], keepdim=True), torch.var(input, dim=[2, 3], keepdim=True) out_in = (input - in_mean) / torch.sqrt(in_var + self.eps) ln_mean, ln_var = torch.mean(input, dim=[1, 2, 3], keepdim=True), torch.var(input, dim=[1, 2, 3], keepdim=True) out_ln = (input - ln_mean) / torch.sqrt(ln_var + self.eps) out = self.rho.expand(input.shape[0], -1, -1, -1) * out_in + (1-self.rho.expand(input.shape[0], -1, -1, -1)) * out_ln out = out * self.gamma.expand(input.shape[0], -1, -1, -1) + self.beta.expand(input.shape[0], -1, -1, -1) return out class RhoClipper(object): def __init__(self, min, max): self.clip_min = min self.clip_max = max assert min < max def __call__(self, module): if hasattr(module, 'rho'): w = module.rho.data w = w.clamp(self.clip_min, self.clip_max) module.rho.data = w from torch.nn import functional as F channels = { 4: 512, 8: 512, 16: 512, 32: 512, 64: 256, 128: 128, 256: 64, 512: 32, 1024: 16, } channels2 = { 16: 512, 32: 128, 64: 64, 128: 32, 256: 16, } class FusedLeakyReLU(nn.Module): def __init__(self, channel, negative_slope=0.2, scale=2 ** 0.5): super().__init__() self.bias = nn.Parameter(torch.zeros(channel)) self.negative_slope = negative_slope self.scale = scale def forward(self, input): return fused_leaky_relu(input, self.bias, self.negative_slope, self.scale) def fused_leaky_relu(input, bias, negative_slope=0.2, scale=2 ** 0.5): rest_dim = [1] * (input.ndim - bias.ndim - 1) if input.ndim == 3: return ( F.leaky_relu( input + bias.view(1, *rest_dim, bias.shape[0]), negative_slope=negative_slope ) * scale ) else: return ( F.leaky_relu( input + bias.view(1, bias.shape[0], *rest_dim), negative_slope=negative_slope ) * scale ) def upfirdn2d_native( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 ): _, channel, in_h, in_w = input.shape input = input.reshape(-1, in_h, in_w, 1) _, in_h, in_w, minor = input.shape kernel_h, kernel_w = kernel.shape out = input.view(-1, in_h, 1, in_w, 1, minor) out = F.pad(out, [0, 0, 0, up_x - 1, 0, 0, 0, up_y - 1]) out = out.view(-1, in_h * up_y, in_w * up_x, minor) out = F.pad( out, [0, 0, max(pad_x0, 0), max(pad_x1, 0), max(pad_y0, 0), max(pad_y1, 0)] ) out = out[ :, max(-pad_y0, 0) : out.shape[1] - max(-pad_y1, 0), max(-pad_x0, 0) : out.shape[2] - max(-pad_x1, 0), :, ] out = out.permute(0, 3, 1, 2) out = out.reshape( [-1, 1, in_h * up_y + pad_y0 + pad_y1, in_w * up_x + pad_x0 + pad_x1] ) w = torch.flip(kernel, [0, 1]).view(1, 1, kernel_h, kernel_w) out = F.conv2d(out, w) out = out.reshape( -1, minor, in_h * up_y + pad_y0 + pad_y1 - kernel_h + 1, in_w * up_x + pad_x0 + pad_x1 - kernel_w + 1, ) out = out.permute(0, 2, 3, 1) out = out[:, ::down_y, ::down_x, :] out_h = (in_h * up_y + pad_y0 + pad_y1 - kernel_h) // down_y + 1 out_w = (in_w * up_x + pad_x0 + pad_x1 - kernel_w) // down_x + 1 return out.view(-1, channel, out_h, out_w) def make_kernel(k): k = torch.tensor(k, dtype=torch.float32) if k.ndim == 1: k = k[None, :] * k[:, None] k /= k.sum() return k def upfirdn2d(input, kernel, up=1, down=1, pad=(0, 0)): out = upfirdn2d_native( input, kernel, up, up, down, down, pad[0], pad[1], pad[0], pad[1] ) return out class Upsample(nn.Module): def __init__(self, kernel, factor=2): super().__init__() self.factor = factor kernel = make_kernel(kernel) * (factor ** 2) self.register_buffer('kernel', kernel) p = kernel.shape[0] - factor pad0 = (p + 1) // 2 + factor - 1 pad1 = p // 2 self.pad = (pad0, pad1) def forward(self, input): out = upfirdn2d(input, self.kernel, up=self.factor, down=1, pad=self.pad) return out class Blur(nn.Module): def __init__(self, kernel, pad, upsample_factor=1): super().__init__() kernel = make_kernel(kernel) if upsample_factor > 1: kernel = kernel * (upsample_factor ** 2) self.register_buffer('kernel', kernel) self.pad = pad def forward(self, input): out = upfirdn2d(input, self.kernel, pad=self.pad) return out class EqualLinear(nn.Module): def __init__( self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None ): super().__init__() self.weight = nn.Parameter(torch.randn(out_dim, in_dim).div_(lr_mul)) if bias: self.bias = nn.Parameter(torch.zeros(out_dim).fill_(bias_init)) else: self.bias = None self.activation = activation self.scale = (1 / math.sqrt(in_dim)) * lr_mul self.lr_mul = lr_mul def forward(self, input): bias = self.bias*self.lr_mul if self.bias is not None else None if self.activation: out = F.linear(input, self.weight * self.scale) out = fused_leaky_relu(out, bias) else: out = F.linear( input, self.weight * self.scale, bias=bias ) return out def __repr__(self): return ( f'{self.__class__.__name__}({self.weight.shape[1]}, {self.weight.shape[0]})' ) # class ModulatedConv2d(nn.Module): # def __init__( # self, # in_channel, # out_channel, # kernel_size, # style_dim, # use_style=True, # demodulate=True, # upsample=False, # downsample=False, # blur_kernel=[1, 3, 3, 1], # ): # super().__init__() # self.eps = 1e-8 # self.kernel_size = kernel_size # self.in_channel = in_channel # self.out_channel = out_channel # self.upsample = upsample # self.downsample = downsample # self.use_style = use_style # if upsample: # factor = 2 # p = (len(blur_kernel) - factor) - (kernel_size - 1) # pad0 = (p + 1) // 2 + factor - 1 # pad1 = p // 2 + 1 # self.blur = Blur(blur_kernel, pad=(pad0, pad1), upsample_factor=factor) # if downsample: # factor = 2 # p = (len(blur_kernel) - factor) + (kernel_size - 1) # pad0 = (p + 1) // 2 # pad1 = p // 2 # self.blur = Blur(blur_kernel, pad=(pad0, pad1)) # fan_in = in_channel * kernel_size ** 2 # self.scale = 1 / math.sqrt(fan_in) # self.padding = kernel_size // 2 # self.weight = nn.Parameter( # torch.randn(1, out_channel, in_channel, kernel_size, kernel_size) # ) # if use_style: # self.modulation = EqualLinear(style_dim, in_channel, bias_init=1) # else: # self.modulation = nn.Parameter(torch.Tensor(1, 1, in_channel, 1, 1).fill_(1)) # self.demodulate = demodulate # def __repr__(self): # return ( # f'{self.__class__.__name__}({self.in_channel}, {self.out_channel}, {self.kernel_size}, ' # f'upsample={self.upsample}, downsample={self.downsample})' # ) # def forward(self, input, style): # batch, in_channel, height, width = input.shape # if self.use_style: # style = self.modulation(style).view(batch, 1, in_channel, 1, 1) # weight = self.scale * self.weight * style # else: # weight = self.scale * self.weight.expand(batch,-1,-1,-1,-1) * self.modulation # if self.demodulate: # demod = torch.rsqrt(weight.pow(2).sum([2, 3, 4]) + 1e-8) # weight = weight * demod.view(batch, self.out_channel, 1, 1, 1) # weight = weight.view( # batch * self.out_channel, in_channel, self.kernel_size, self.kernel_size # ) # if self.upsample: # input = input.view(1, batch * in_channel, height, width) # weight = weight.view( # batch, self.out_channel, in_channel, self.kernel_size, self.kernel_size # ) # weight = weight.transpose(1, 2).reshape( # batch * in_channel, self.out_channel, self.kernel_size, self.kernel_size # ) # out = F.conv_transpose2d(input, weight, padding=0, stride=2, groups=batch) # _, _, height, width = out.shape # out = out.view(batch, self.out_channel, height, width) # out = self.blur(out) # elif self.downsample: # input = self.blur(input) # _, _, height, width = input.shape # input = input.view(1, batch * in_channel, height, width) # out = F.conv2d(input, weight, padding=0, stride=2, groups=batch) # _, _, height, width = out.shape # out = out.view(batch, self.out_channel, height, width) # else: # input = input.view(1, batch * in_channel, height, width) # out = F.conv2d(input, weight, padding=self.padding, groups=batch) # _, _, height, width = out.shape # out = out.view(batch, self.out_channel, height, width) # return out class ModulatedConv2d(nn.Module): def __init__( self, in_channel, out_channel, kernel_size, style_dim, use_style=True, demodulate=True, upsample=False, downsample=False, blur_kernel=[1, 3, 3, 1], cgroup = 1, ): super().__init__() self.eps = 1e-8 self.kernel_size = kernel_size self.in_channel = in_channel self.out_channel = out_channel self.upsample = upsample self.downsample = downsample self.use_style = use_style self.cgroup = cgroup if upsample: factor = 2 p = (len(blur_kernel) - factor) - (kernel_size - 1) pad0 = (p + 1) // 2 + factor - 1 pad1 = p // 2 + 1 self.blur = Blur(blur_kernel, pad=(pad0, pad1), upsample_factor=factor) # self.blur = nn.Sequential( # nn.ConstantPad2d((0, -1, 0,-1), 0), # nn.Upsample(scale_factor=1, mode="bilinear")) if downsample: factor = 2 p = (len(blur_kernel) - factor) + (kernel_size - 1) pad0 = (p + 1) // 2 pad1 = p // 2 self.blur = Blur(blur_kernel, pad=(pad0, pad1)) fan_in = in_channel * kernel_size ** 2 self.scale = 1 / math.sqrt(fan_in) self.padding = kernel_size // 2 if upsample: self.weight = nn.Parameter( torch.randn(1, out_channel//2, in_channel, kernel_size, kernel_size) ) else: self.weight = nn.Parameter( torch.randn(1, out_channel, in_channel//self.cgroup, kernel_size, kernel_size) ) # self.wl = nn.ReLU6(nn.Tanh()) # self.convs = nn.Conv2d(1 * in_channel, self.out_channel, self.kernel_size, stride=1,groups=cgroup,padding=self.padding) # self.convs_d = nn.Conv2d(1 * in_channel, self.out_channel, self.kernel_size, stride=2,groups=1,padding=0) # self.convs_t = nn.ConvTranspose2d(1 * in_channel, self.out_channel, self.kernel_size, stride=2,groups=2,padding=0) if use_style: self.modulation = EqualLinear(style_dim, in_channel//self.cgroup, bias_init=1) # self.modulation = nn.Sequential( # nn.LeakyReLU(negative_slope=0.2), # nn.Linear(style_dim, in_channel//self.cgroup)) else: self.modulation = nn.Parameter(torch.Tensor(1, 1, in_channel, 1, 1).fill_(1)) self.demodulate = demodulate def __repr__(self): return ( f'{self.__class__.__name__}({self.in_channel}, {self.out_channel}, {self.kernel_size}, ' f'upsample={self.upsample}, downsample={self.downsample})' ) def forward(self, input, style): batch, in_channel, height, width = input.shape if self.use_style: if self.upsample: style = self.modulation(style).view(batch, 1, in_channel, 1, 1) else: style = self.modulation(style).view(batch, 1, in_channel//self.cgroup, 1, 1) weight = self.scale * self.weight * style else: weight = self.scale * self.weight.expand(batch,-1,-1,-1,-1) * self.modulation if self.demodulate: demod = torch.rsqrt(weight.pow(2).sum([2, 3, 4]) + 1e-8) if self.upsample: weight = weight * demod.view(batch, self.out_channel//2, 1, 1, 1) else: weight = weight * demod.view(batch, self.out_channel, 1, 1, 1) if self.upsample: weight = weight.view( batch * self.out_channel//2, in_channel, self.kernel_size, self.kernel_size ) else: weight = weight.view( batch * self.out_channel, in_channel//self.cgroup, self.kernel_size, self.kernel_size ) if self.upsample: input = input.view(1, batch * in_channel, height, width) weight = weight.view( batch, self.out_channel//2, in_channel, self.kernel_size, self.kernel_size ) weight = weight.transpose(1, 2).reshape( batch * in_channel, self.out_channel//2, self.kernel_size, self.kernel_size ) out = F.conv_transpose2d(input, weight, padding=0, stride=2, groups=batch*2) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) out = self.blur(out) elif self.downsample: input = self.blur(input) _, _, height, width = input.shape input = input.view(1, batch * in_channel, height, width) out = F.conv2d(input, weight, padding=0, stride=2, groups=batch) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) else: input = input.view(1, batch * in_channel, height, width) out = F.conv2d(input, weight, padding=self.padding, groups=batch*self.cgroup) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) return out class ModulatedConv2d2(nn.Module): def __init__( self, in_channel, out_channel, kernel_size, style_dim, use_style=True, demodulate=True, upsample=False, downsample=False, blur_kernel=[1, 3, 3, 1], cgroup = 1, ): super().__init__() self.eps = 1e-8 self.kernel_size = kernel_size self.in_channel = in_channel self.out_channel = out_channel self.upsample = upsample self.downsample = downsample self.use_style = use_style self.cgroup = cgroup if upsample: factor = 2 p = (len(blur_kernel) - factor) - (kernel_size - 1) pad0 = (p + 1) // 2 + factor - 1 pad1 = p // 2 + 1 # self.blur = Blur(blur_kernel, pad=(pad0, pad1), upsample_factor=factor) self.blur = nn.Sequential( nn.ConstantPad2d((0, -1, 0,-1), 0), nn.Upsample(scale_factor=1, mode="bilinear")) if downsample: factor = 2 p = (len(blur_kernel) - factor) + (kernel_size - 1) pad0 = (p + 1) // 2 pad1 = p // 2 self.blur = Blur(blur_kernel, pad=(pad0, pad1)) fan_in = in_channel * kernel_size ** 2 self.scale = 1 / math.sqrt(fan_in) self.padding = kernel_size // 2 if upsample: self.weight = nn.Parameter( torch.randn(1, out_channel//2, in_channel, kernel_size, kernel_size) ) else: self.weight = nn.Parameter( torch.randn(1, out_channel, in_channel//self.cgroup, kernel_size, kernel_size) ) self.wl = nn.ReLU6(nn.Tanh()) self.convs = nn.Conv2d(1 * in_channel, self.out_channel, self.kernel_size, stride=1,groups=cgroup,padding=self.padding) self.convs_d = nn.Conv2d(1 * in_channel, self.out_channel, self.kernel_size, stride=2,groups=1,padding=0) self.convs_t = nn.ConvTranspose2d(1 * in_channel, self.out_channel, self.kernel_size, stride=2,groups=2,padding=0) if use_style: # self.modulation = EqualLinear(style_dim, in_channel//self.cgroup, bias_init=1) self.modulation = nn.Sequential( nn.LeakyReLU(negative_slope=0.2), nn.Linear(style_dim, in_channel//self.cgroup)) else: self.modulation = nn.Parameter(torch.Tensor(1, 1, in_channel, 1, 1).fill_(1)) self.demodulate = demodulate def __repr__(self): return ( f'{self.__class__.__name__}({self.in_channel}, {self.out_channel}, {self.kernel_size}, ' f'upsample={self.upsample}, downsample={self.downsample})' ) def forward(self, input, style): batch, in_channel, height, width = input.shape if self.use_style: if self.upsample: style = self.modulation(style).view(batch, 1, in_channel, 1, 1) else: style = self.modulation(style).view(batch, 1, in_channel//self.cgroup, 1, 1) weight = self.scale * self.weight * style weight = self.wl(weight) else: weight = self.scale * self.weight.expand(batch,-1,-1,-1,-1) * self.modulation if self.demodulate: demod = torch.rsqrt(weight.pow(2).sum([2, 3, 4]) + 1e-8) if self.upsample: weight = weight * demod.view(batch, self.out_channel//2, 1, 1, 1) else: weight = weight * demod.view(batch, self.out_channel, 1, 1, 1) if self.upsample: weight = weight.view( batch * self.out_channel//2, in_channel, self.kernel_size, self.kernel_size ) else: weight = weight.view( batch * self.out_channel, in_channel//self.cgroup, self.kernel_size, self.kernel_size ) if self.upsample: input = input.view(1, batch * in_channel, height, width) weight = weight.view( batch, self.out_channel//2, in_channel, self.kernel_size, self.kernel_size ) weight = weight.transpose(1, 2).reshape( batch * in_channel, self.out_channel//2, self.kernel_size, self.kernel_size ) out = F.conv_transpose2d(input, weight, padding=0, stride=2, groups=batch*2) # out = self.convs_t(input) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) # print(out.shape) out = self.blur(out) # print(out.shape) elif self.downsample: input = self.blur(input) _, _, height, width = input.shape input = input.view(1, batch * in_channel, height, width) # out = F.conv2d(input, weight, padding=0, stride=2, groups=batch) out = self.convs_d(input) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) else: input = input.view(1, batch * in_channel, height, width) # out = F.conv2d(input, weight, padding=self.padding, groups=batch*self.cgroup) out = self.convs(input) _, _, height, width = out.shape out = out.view(batch, self.out_channel, height, width) return out class StyledConv(nn.Module): def __init__( self, in_channel, out_channel, kernel_size, style_dim, use_style=True, upsample=False, downsample=False, blur_kernel=[1, 3, 3, 1], demodulate=True, activation = True, group = 1, ): super().__init__() self.use_style = use_style self.activation = activation self.conv = ModulatedConv2d( in_channel, out_channel, kernel_size, style_dim, use_style=use_style, upsample=upsample, downsample=downsample, blur_kernel=blur_kernel, demodulate=demodulate, cgroup=group, ) #if use_style: # self.noise = NoiseInjection() #else: # self.noise = None # self.bias = nn.Parameter(torch.zeros(1, out_channel, 1, 1)) # self.activate = ScaledLeakyReLU(0.2) self.activate = FusedLeakyReLU(out_channel) def forward(self, input, style=None, noise=None): out = self.conv(input, style) #if self.use_style: # out = self.noise(out, noise=noise) # out = out + self.bias if self.activation: out = self.activate(out) return out class StyledConv2(nn.Module): def __init__( self, in_channel, out_channel, kernel_size, style_dim, use_style=True, upsample=False, downsample=False, blur_kernel=[1, 3, 3, 1], demodulate=True, ): super().__init__() self.use_style = use_style self.conv = ModulatedConv2d2( in_channel, out_channel, kernel_size, style_dim, use_style=use_style, upsample=upsample, downsample=downsample, blur_kernel=blur_kernel, demodulate=demodulate, ) # self.conv = nn.Conv2d(in_channel, out_channel,3,1,0, groups=2) #if use_style: # self.noise = NoiseInjection() #else: # self.noise = None # self.bias = nn.Parameter(torch.zeros(1, out_channel, 1, 1)) # self.activate = ScaledLeakyReLU(0.2) # self.activate = FusedLeakyReLU(out_channel) def forward(self, input, style=None, noise=None): out = self.conv(input, style) # out = self.conv(input) #if self.use_style: # out = self.noise(out, noise=noise) # out = out + self.bias # out = self.activate(out) return out class ToRGB(nn.Module): def __init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1]): super().__init__() if upsample: self.upsample = Upsample(blur_kernel) self.conv = ModulatedConv2d(in_channel, 4, 1, style_dim, demodulate=False, cgroup=1) self.bias = nn.Parameter(torch.zeros(1, 4, 1, 1)) def forward(self, input, style, skip=None): out = self.conv(input, style) out = out + self.bias if skip is not None: skip = self.upsample(skip) out = out + skip return out class ToRGB2(nn.Module): def __init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1]): super().__init__() if upsample: # self.upsample = Upsample(blur_kernel) self.upsample = nn.Sequential(nn.Upsample(scale_factor=2, mode="bilinear")) self.conv = ModulatedConv2d2(in_channel, 3, 1, style_dim, demodulate=False) self.bias = nn.Parameter(torch.zeros(1, 3, 1, 1)) def forward(self, input, style, skip=None): out = self.conv(input, style) out = out + self.bias if skip is not None: skip = self.upsample(skip) out = out + skip return out class StyledResBlock(nn.Module): def __init__(self, in_channel, style_dim, blur_kernel=[1, 3, 3, 1], demodulate=True): super().__init__() self.conv1 = StyledConv(in_channel, in_channel*2, 1, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) self.conv2 = StyledConv(in_channel*2, in_channel*2, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate, group=in_channel) self.conv3 = StyledConv(in_channel*2, in_channel, 1, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate, activation=False) # self.conv1 = StyledConv(in_channel, in_channel//2, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) # self.conv2 = StyledConv(in_channel//2, in_channel, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) def forward(self, input, style): out = self.conv1(input, style) out = self.conv2(out, style) out = self.conv3(out, style) out = (out + input) / math.sqrt(2) return out class StyledRes(nn.Module): def __init__(self, in_channel, style_dim, blur_kernel=[1, 3, 3, 1], demodulate=True, largec=True): super().__init__() k = 1 if largec: k = 2 self.conv1 = StyledConv(in_channel, in_channel*k, 1, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) self.conv2 = StyledConv(in_channel*k, in_channel*k, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate, group=in_channel) self.conv3 = StyledConv(in_channel*k, in_channel, 1, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate, activation=False) # self.conv1 = StyledConv(in_channel, in_channel//2, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) # self.conv2 = StyledConv(in_channel//2, in_channel, 3, style_dim, upsample=False, blur_kernel=blur_kernel, demodulate=demodulate) def forward(self, input, style): out = self.conv1(input, style) out = self.conv2(out, style) out = self.conv3(out, style) # out = (out + input) / math.sqrt(2) return out #1.4G flops class Decoder_kkk(nn.Module): def __init__( self ): # assert(n_blocks >= 0) super(Decoder_kkk, self).__init__() self.input_nc = 512 self.output_nc = 3 self.size = 256 self.num_down = 4 self.latent_dim = 8 self.n_mlp = 5 channel_multiplier=1 blur_kernel=[1, 3, 3, 1] lr_mlp=0.01 # self.use_mapping=True self.log_size = int(math.log(self.size, 2)) #7 in_log_size = self.log_size - self.num_down #7-2 or 7-3 in_size = 2 ** in_log_size style_dim = 512 in_channel = 512 # MLP self.mapping = MLP(self.latent_dim, style_dim, self.n_mlp) self.adain_bottleneck = nn.ModuleList() for i in range(2): self.adain_bottleneck.append(StyledResBlock(in_channel, style_dim)) self.conv1 = StyledConv(in_channel, 512, 1, style_dim, upsample=False, blur_kernel=blur_kernel) self.conv1_s = StyledConv(512, 512, 3, style_dim, upsample=False, blur_kernel=blur_kernel, group=512) self.conv1_ss = StyledConv(512, 256, 1, style_dim, upsample=False, blur_kernel=blur_kernel, activation=False) self.to_rgb1 = ToRGBcr(256, style_dim, upsample=False) self.to_alpha = nn.Sigmoid() self.convs = nn.ModuleList() self.to_rgbs = nn.ModuleList() in_channel = 256 for i in range(in_log_size+1, self.log_size + 1): out_channel = channels2[2 ** i] # print(":::::kk:::", out_channel) self.convs.append( StyledConv2dUpcr(in_channel, out_channel, style_dim) # StyledConv( # in_channel, # out_channel, # 3, # style_dim, # upsample=True, # blur_kernel=blur_kernel, # ) ) # self.convs.append( # StyledConv( # out_channel, out_channel, 3, style_dim, blur_kernel=blur_kernel # ) # ) self.convs.append( StyledConv2dcr(out_channel, out_channel, style_dim, 3) # StyledRes(out_channel, style_dim,largec=False) ) self.to_rgbs.append(ToRGBcr(out_channel, style_dim)) in_channel = out_channel def forward(self, input, styles): styles = self.mapping(styles) #styles = styles.repeat(1, n_latent).view(styles.size(0), n_latent, -1) out = input i = 0 for conv in self.adain_bottleneck: out = conv(out, styles) i += 1 out = self.conv1(out, styles, noise=None) out = self.conv1_s(out, styles, noise=None) out = self.conv1_ss(out, styles, noise=None) skip = self.to_rgb1(out, styles) i += 2 for conv1, conv2, to_rgb in zip( self.convs[::2], self.convs[1::2], self.to_rgbs ): out = conv1(out, styles, noise=None) out = conv2(out, styles) skip = to_rgb(out, styles, skip) i += 3 image = skip[:,0:3,:,:] alpha = self.to_alpha(skip[:,3:4,:,:]) return image, alpha from modulated_conv2d import * # from modulated_conv2d import ModulatedDWConv2dcr class Decoder_kkk2(nn.Module): def __init__( self ): # assert(n_blocks >= 0) super(Decoder_kkk2, self).__init__() self.input_nc = 512 self.output_nc = 3 self.size = 256 self.num_down = 4 self.latent_dim = 8 self.n_mlp = 5 channel_multiplier=1 blur_kernel=[1, 3, 3, 1] lr_mlp=0.01 # self.use_mapping=True self.log_size = int(math.log(self.size, 2)) #7 in_log_size = self.log_size - self.num_down #7-2 or 7-3 in_size = 2 ** in_log_size style_dim = 512 in_channel = 512 # MLP self.mapping = MLP(self.latent_dim, style_dim, self.n_mlp) self.adain_bottleneck = nn.ModuleList() for i in range(2): self.adain_bottleneck.append(StyledResBlockcr(in_channel, style_dim)) # self.conv1 = StyledConv2dcr(in_channel, 512, style_dim, 3) self.conv1 = StyledConv2dcr(in_channel, 256, style_dim, 3) # self.conv1 = StyledConv(in_channel, 512, 1, style_dim, upsample=False, blur_kernel=blur_kernel) # self.conv1_s = StyledConv(512, 512, 3, style_dim, upsample=False, blur_kernel=blur_kernel, group=512) # self.conv1_ss = StyledConv(512, 256, 1, style_dim, upsample=False, blur_kernel=blur_kernel, activation=False) self.to_rgb1 = ToRGBcr(256, style_dim, upsample=False) self.to_alpha = nn.Sigmoid() self.convs = nn.ModuleList() self.to_rgbs = nn.ModuleList() in_channel = 256 for i in range(in_log_size+1, self.log_size + 1): out_channel = channels2[2 ** i] # print(":::::kk:::", out_channel) self.convs.append( StyledConv2dUpcr(in_channel, out_channel, style_dim) ) self.convs.append( StyledConv2dcr(out_channel, out_channel, style_dim, 3) ) self.to_rgbs.append(ToRGBcr(out_channel, style_dim)) in_channel = out_channel def forward(self, input, styles): styles = self.mapping(styles) #styles = styles.repeat(1, n_latent).view(styles.size(0), n_latent, -1) out = input i = 0 for conv in self.adain_bottleneck: out = conv(out, styles) i += 1 out = self.conv1(out, styles, noise=None) skip = self.to_rgb1(out, styles) i += 2 for conv1, conv2, to_rgb in zip( self.convs[::2], self.convs[1::2], self.to_rgbs ): out = conv1(out, styles, noise=None) out = conv2(out, styles) skip = to_rgb(out, styles, skip) i += 3 image = skip[:,0:3,:,:] alpha = self.to_alpha(skip[:,3:4,:,:]) return image, alpha class Decoder_kkk512(nn.Module): def __init__( self ): # assert(n_blocks >= 0) super(Decoder_kkk512, self).__init__() self.input_nc = 512 self.output_nc = 3 self.size = 256 self.num_down = 4 self.latent_dim = 8 self.n_mlp = 5 channel_multiplier=1 blur_kernel=[1, 3, 3, 1] lr_mlp=0.01 # self.use_mapping=True self.log_size = int(math.log(self.size, 2)) #7 in_log_size = self.log_size - self.num_down #7-2 or 7-3 in_size = 2 ** in_log_size style_dim = 512 in_channel = 512 # MLP self.mapping = MLP(self.latent_dim, style_dim, self.n_mlp) self.adain_bottleneck = nn.ModuleList() for i in range(2): self.adain_bottleneck.append(StyledResBlockcr(in_channel, style_dim)) # self.conv1 = StyledConv2dcr(in_channel, 512, style_dim, 3) self.conv1 = StyledConv2dcr(in_channel, 256, style_dim, 3) # self.conv1 = StyledConv(in_channel, 512, 1, style_dim, upsample=False, blur_kernel=blur_kernel) # self.conv1_s = StyledConv(512, 512, 3, style_dim, upsample=False, blur_kernel=blur_kernel, group=512) # self.conv1_ss = StyledConv(512, 256, 1, style_dim, upsample=False, blur_kernel=blur_kernel, activation=False) self.to_rgb1 = ToRGBcr(256, style_dim, upsample=False) self.to_alpha = nn.Sigmoid() self.convs = nn.ModuleList() self.to_rgbs = nn.ModuleList() in_channel = 256 for i in range(in_log_size+1, self.log_size + 1): out_channel = channels2[2 ** i] # print(":::::kk:::", out_channel) self.convs.append( StyledConv2dUpcr(in_channel, out_channel, style_dim) ) self.convs.append( StyledConv2dcr(out_channel, out_channel, style_dim, 3) ) self.to_rgbs.append(ToRGBcr(out_channel, style_dim)) in_channel = out_channel self.ups2 = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True) self.conv512 = nn.Sequential( nn.ReflectionPad2d(1), nn.Conv2d(3, 9, kernel_size=3, stride=1, padding=0, bias=False), # nn.InstanceNorm2d(9), nn.ReLU(True), nn.ReflectionPad2d(1), nn.Conv2d(9, 3, kernel_size=3, stride=1, padding=0, bias=False), # nn.InstanceNorm2d(3), ) def forward(self, input, styles): styles = self.mapping(styles) #styles = styles.repeat(1, n_latent).view(styles.size(0), n_latent, -1) out = input i = 0 for conv in self.adain_bottleneck: out = conv(out, styles) i += 1 out = self.conv1(out, styles, noise=None) skip = self.to_rgb1(out, styles) i += 2 for conv1, conv2, to_rgb in zip( self.convs[::2], self.convs[1::2], self.to_rgbs ): out = conv1(out, styles, noise=None) out = conv2(out, styles) skip = to_rgb(out, styles, skip) i += 3 image256 = skip[:,0:3,:,:] alpha = self.to_alpha(skip[:,3:4,:,:]) image512 = self.ups2(image256) delta = 0.01*self.conv512(image512) image512 = image512 + delta return image256, alpha, image512 from thop import profile from matplotlib import pyplot as plt from skimage import io from skimage import transform import numpy as np # from torchstat import stat # from ptflops import get_model_complexity_info def count_your_model(model): sum = 0 for m in model.modules(): print(m) if isinstance(m, (nn.Conv2d)): sum = (m.weight.shape[2]*m.weight.shape[3]*m.in_channels*m.out_channels+m.out_channels)*256*256 print(m.weight.shape[0], m.weight.shape[1],m.weight.shape[2],m.weight.shape[3]) elif isinstance(m, ModulatedConv2d2): sum = (m.weight.shape[2]*m.weight.shape[3]*m.in_channel*m.out_channel+m.out_channel) elif isinstance(m, nn.Linear): nn.init.xavier_uniform_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) print(sum) return 10000 #return y.size(2) * y.size(3) * y.size(1) * self.conv.weight.size(2) * self.conv.weight.size(3) / 1 def test(): torch.set_printoptions(precision=4, sci_mode=False) # net = CRGenerator_small(3, 3, 32, 3, 256, False) # net = CRDecoder_rose3() net = Decoder_kkk2() style = torch.randn(1, 8) style2 = torch.randn(1, 8) style3 = torch.randn(2, 8) # z_bb = torch.randn(1, 256)*100 # noo = nn.LayerNorm(256) # z_bb = noo(z_bb) # z_kk = 0 x1 = torch.randn(1,3,256,256) x2 = torch.randn(1,512,16,16) x3 = torch.randn(2,512,16,16) img = io.imread("/Users/cr/git/face/Morph-UGATIT/datasets/trainA/female_4493.jpg") img = transform.resize(img, (16, 16)) img_tensor = torch.from_numpy(img.transpose((2,0,1))) img_tensor = torch.reshape(img_tensor, (1, 3, 16, 16))[:,0:2,:,:] # x2 = img_tensor.repeat((1, 256, 1, 1)).float() # print (x2.shape) # print(x2) out, alpha = net(x2, style) out2, alpha = net(x2, style2) # print(alpha) # stat(net, (3, 256, 256) ) #flops,params = get_model_complexity_info(net,(1,3,256,256),as_strings=True,print_per_layer_stat=True) # print("________________________\n" + str(net)) million = 100 * 10000 flops256, _ = profile(net, (x2,style,)) print("decoder flops", flops256/million) total = sum([param.nelement() for param in net.parameters()]) print("params:::::::::", total/million) # net2 = MLP(8, 512, 8) xx = torch.randn(1,4,128,128) styles = torch.randn(1, 512) net2 = StyledConv2(4, 6, 3, 512, upsample=True) # net2 = torch.nn.DataParallel(net2) flops2, _ = profile(net2, (xx, styles, )) #count_your_model(net2) # print("decoder flops:::::::::", flops2/million) # print (out.shape) out = torch.reshape(out, (3, 256, 256)) out = out.detach().numpy().transpose((1, 2, 0)) out = out - np.min(out)/(np.max(out)-np.min(out)) out2 = torch.reshape(out2, (3, 256, 256)) out2 = out2.detach().numpy().transpose((1, 2, 0)) out2 = out2 - np.min(out2)/(np.max(out2)-np.min(out2)) plt.figure("haha") plt.subplot(1,2,1), plt.title('a') plt.imshow(out) plt.subplot(1,2,2), plt.title('b') plt.imshow(out2) plt.show() # realA = torch.randn(1,2,4,4) # realA_filp=torch.flip(realA,[3]) # print(realA) # print(realA_filp) # print(z_bb) # print(z.shape) # print(cam_logit) # print(z_bb) # test()

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825aca8e583c9bcbe44869830072404ec776c882

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py

Python

venv/lib/python3.8/site-packages/pyparsing/actions.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/pyparsing/actions.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/pyparsing/actions.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/eb/4b/fb/9844ce073734d583c7fea403e62b1abe071226901f20aa73823337bda5

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Python

pyronear/models/resnet.py

jmaguiar/PyroNear

33b045a2cb392787ac00ccca8afbe5b63e62380c

[ "MIT" ]

null

pyronear/models/resnet.py

jmaguiar/PyroNear

33b045a2cb392787ac00ccca8afbe5b63e62380c

[ "MIT" ]

null

pyronear/models/resnet.py

jmaguiar/PyroNear

33b045a2cb392787ac00ccca8afbe5b63e62380c

[ "MIT" ]

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# -*- coding: utf-8 -*- from torchvision.models.resnet import BasicBlock, Bottleneck, ResNet, model_urls as imagenet_urls from torchvision.models.utils import load_state_dict_from_url from .utils import cnn_model __all__ = ['resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d', 'wide_resnet50_2', 'wide_resnet101_2'] model_urls = { 'resnet18': 'https://srv-file6.gofile.io/download/5WANbz/resnet18-binary-classification.pth', 'resnet34': 'https://srv-file7.gofile.io/download/ay3i9I/resnet34-binary-classification.pth' } model_cut = -2 def _resnet(arch, block, layers, pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): # Model creation base_model = ResNet(block, layers, num_classes=num_classes, **kwargs) # Imagenet pretraining if imagenet_pretrained: if pretrained: raise ValueError('imagenet_pretrained cannot be set to True if pretrained=True') state_dict = load_state_dict_from_url(imagenet_urls[arch], progress=progress) # Remove FC params from dict for key in ('fc.weight', 'fc.bias'): state_dict.pop(key, None) missing, unexpected = base_model.load_state_dict(state_dict, strict=False) if any(unexpected) or any(not elt.startswith('fc.') for elt in missing): raise KeyError(f"Missing parameters: {missing}\nUnexpected parameters: {unexpected}") # Cut at last conv layers model = cnn_model(base_model, model_cut, base_model.fc.in_features, num_classes, lin_features, dropout_prob, bn_final=bn_final, concat_pool=concat_pool) # Parameter loading if pretrained: state_dict = load_state_dict_from_url(model_urls[arch], progress=progress) model.load_state_dict(state_dict) return model def resnet18(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNet-18 model for image classification from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnet34(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNet-34 model for image classification from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ return _resnet('resnet34', BasicBlock, [3, 4, 6, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnet50(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNet-50 model for image classification from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ return _resnet('resnet50', Bottleneck, [3, 4, 6, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnet101(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNet-101 model for image classification from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ return _resnet('resnet101', Bottleneck, [3, 4, 23, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnet152(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNet-152 model for image classification from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnext50_32x4d(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ kwargs['groups'] = 32 kwargs['width_per_group'] = 4 return _resnet('resnext50_32x4d', Bottleneck, [3, 4, 6, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def resnext101_32x8d(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ kwargs['groups'] = 32 kwargs['width_per_group'] = 8 return _resnet('resnext101_32x8d', Bottleneck, [3, 4, 23, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def wide_resnet50_2(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet50_2', Bottleneck, [3, 4, 6, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs) def wide_resnet101_2(pretrained=False, progress=True, imagenet_pretrained=False, num_classes=1, lin_features=512, dropout_prob=0.5, bn_final=False, concat_pool=True, **kwargs): r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool, optional): should pretrained parameters be loaded (OpenFire training) progress (bool, optional): should a progress bar be displayed while downloading pretrained parameters imagenet_pretrained (bool, optional): should pretrained parameters be loaded on conv layers (ImageNet training) num_classes (int, optional): number of output classes lin_features (Union[int, list<int>], optional): number of nodes in intermediate layers of model's head dropout_prob (float, optional): dropout probability of head FC layers bn_final (bool, optional): should a batch norm be added after the last layer concat_pool (bool, optional): should pooling be replaced by :mod:`pyronear.nn.AdaptiveConcatPool2d` **kwargs: optional arguments of :mod:`torchvision.models.resnet.ResNet` """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet101_2', Bottleneck, [3, 4, 23, 3], pretrained, progress, imagenet_pretrained, num_classes, lin_features, dropout_prob, bn_final, concat_pool, **kwargs)

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7d59fa6c0cf56fd2a61084b5eb25b162b3b28d14

166

py

Python

zb/tools/__init__.py

zengbin93/zb

f3b7d4542f7ae6eecefbdbfcfb727339ba07d9c4

[ "Apache-2.0" ]

2

2018-04-07T12:33:02.000Z

2019-11-27T04:41:15.000Z

zb/tools/__init__.py

zengbin93/zb

f3b7d4542f7ae6eecefbdbfcfb727339ba07d9c4

[ "Apache-2.0" ]

1

2018-08-12T02:58:59.000Z

zb/tools/__init__.py

zengbin93/zb

f3b7d4542f7ae6eecefbdbfcfb727339ba07d9c4

[ "Apache-2.0" ]

1

2019-11-27T04:41:18.000Z

# -*- coding: utf-8 -*- from .sms import server_chan_push, bear_push, EmailSender from .file import read_file, write_file, empty_file from .file import legitimize

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7d5c1d7bdf38cf66bc348fc9c0f081cfe7d5a6e3

288

py

Python

src/web/modules/finance/models/__init__.py

petr-kalinin/SIStema

80e8e637ddddab3cf634f3a3cd7492f122e1e1d3

[ "MIT" ]

null

src/web/modules/finance/models/__init__.py

petr-kalinin/SIStema

80e8e637ddddab3cf634f3a3cd7492f122e1e1d3

[ "MIT" ]

null

src/web/modules/finance/models/__init__.py

petr-kalinin/SIStema

80e8e637ddddab3cf634f3a3cd7492f122e1e1d3

[ "MIT" ]

null

from modules.finance.models.discount import Discount from modules.finance.models.payment_amount import PaymentAmount from modules.finance.models.documents import * from modules.finance.questionnaire.blocks import PaymentInfoQuestionnaireBlock from modules.finance.entrance.steps import *

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6

7d5f7af60978307e640a41b3935b5b86aec705e3

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py

Python

Code/instr_tester/ui.py

DaveSeidel/QB_Nebulae_V2

4a0218bb6a05e835e74b126729a1c3cd221fc9b5

[ "MIT" ]

40

2019-12-30T03:44:36.000Z

2022-02-07T23:09:42.000Z

Code/instr_tester/ui.py

alex-thibodeau/QB_Nebulae_V2

34bcf341ea8eddaa9f9ce2e7c2d2438e00e50f54

[ "MIT" ]

11

2020-03-08T10:22:57.000Z

2022-03-22T21:18:32.000Z

Code/instr_tester/ui.py

alex-thibodeau/QB_Nebulae_V2

34bcf341ea8eddaa9f9ce2e7c2d2438e00e50f54

[ "MIT" ]

23

2020-01-20T11:12:20.000Z

2022-03-02T20:39:09.000Z

import time class UserInterface(object): def __init__(self, controlhandler): self.controlhandler = controlhandler def update(self): pass

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8

45

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false

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null

0

1

0

1

0

1

0

6

7d76ebf919a2aa7394fa0d657ad7beac4aea6e63

13,336

py

Python

sdk/python/pulumi_scaleway/instance_security_group_rules.py

stack72/pulumi-scaleway

0242d1f058046f86fe4ea6f106872ecd08d10c3b

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

6

2020-10-16T09:09:05.000Z

2022-03-24T21:32:17.000Z

sdk/python/pulumi_scaleway/instance_security_group_rules.py

stack72/pulumi-scaleway

0242d1f058046f86fe4ea6f106872ecd08d10c3b

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

34

2020-10-29T17:38:13.000Z

2022-03-31T13:33:47.000Z

sdk/python/pulumi_scaleway/instance_security_group_rules.py

stack72/pulumi-scaleway

0242d1f058046f86fe4ea6f106872ecd08d10c3b

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

2

2022-01-13T18:46:32.000Z

2022-02-28T03:58:36.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities from . import outputs from ._inputs import * __all__ = ['InstanceSecurityGroupRulesArgs', 'InstanceSecurityGroupRules'] @pulumi.input_type class InstanceSecurityGroupRulesArgs: def __init__(__self__, *, security_group_id: pulumi.Input[str], inbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]] = None, outbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]] = None): """ The set of arguments for constructing a InstanceSecurityGroupRules resource. :param pulumi.Input[str] security_group_id: The ID of the security group. :param pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]] inbound_rules: A list of inbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]] outbound_rules: A list of outbound rule to add to the security group. (Structure is documented below.) """ pulumi.set(__self__, "security_group_id", security_group_id) if inbound_rules is not None: pulumi.set(__self__, "inbound_rules", inbound_rules) if outbound_rules is not None: pulumi.set(__self__, "outbound_rules", outbound_rules) @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> pulumi.Input[str]: """ The ID of the security group. """ return pulumi.get(self, "security_group_id") @security_group_id.setter def security_group_id(self, value: pulumi.Input[str]): pulumi.set(self, "security_group_id", value) @property @pulumi.getter(name="inboundRules") def inbound_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]]: """ A list of inbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "inbound_rules") @inbound_rules.setter def inbound_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]]): pulumi.set(self, "inbound_rules", value) @property @pulumi.getter(name="outboundRules") def outbound_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]]: """ A list of outbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "outbound_rules") @outbound_rules.setter def outbound_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]]): pulumi.set(self, "outbound_rules", value) @pulumi.input_type class _InstanceSecurityGroupRulesState: def __init__(__self__, *, inbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]] = None, outbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]] = None, security_group_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering InstanceSecurityGroupRules resources. :param pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]] inbound_rules: A list of inbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]] outbound_rules: A list of outbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[str] security_group_id: The ID of the security group. """ if inbound_rules is not None: pulumi.set(__self__, "inbound_rules", inbound_rules) if outbound_rules is not None: pulumi.set(__self__, "outbound_rules", outbound_rules) if security_group_id is not None: pulumi.set(__self__, "security_group_id", security_group_id) @property @pulumi.getter(name="inboundRules") def inbound_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]]: """ A list of inbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "inbound_rules") @inbound_rules.setter def inbound_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesInboundRuleArgs']]]]): pulumi.set(self, "inbound_rules", value) @property @pulumi.getter(name="outboundRules") def outbound_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]]: """ A list of outbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "outbound_rules") @outbound_rules.setter def outbound_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['InstanceSecurityGroupRulesOutboundRuleArgs']]]]): pulumi.set(self, "outbound_rules", value) @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the security group. """ return pulumi.get(self, "security_group_id") @security_group_id.setter def security_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "security_group_id", value) class InstanceSecurityGroupRules(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, inbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesInboundRuleArgs']]]]] = None, outbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesOutboundRuleArgs']]]]] = None, security_group_id: Optional[pulumi.Input[str]] = None, __props__=None): """ ## Import Instance security group rules can be imported using the `{zone}/{id}`, e.g. bash ```sh $ pulumi import scaleway:index/instanceSecurityGroupRules:InstanceSecurityGroupRules web fr-par-1/11111111-1111-1111-1111-111111111111 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesInboundRuleArgs']]]] inbound_rules: A list of inbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesOutboundRuleArgs']]]] outbound_rules: A list of outbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[str] security_group_id: The ID of the security group. """ ... @overload def __init__(__self__, resource_name: str, args: InstanceSecurityGroupRulesArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## Import Instance security group rules can be imported using the `{zone}/{id}`, e.g. bash ```sh $ pulumi import scaleway:index/instanceSecurityGroupRules:InstanceSecurityGroupRules web fr-par-1/11111111-1111-1111-1111-111111111111 ``` :param str resource_name: The name of the resource. :param InstanceSecurityGroupRulesArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(InstanceSecurityGroupRulesArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, inbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesInboundRuleArgs']]]]] = None, outbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesOutboundRuleArgs']]]]] = None, security_group_id: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = InstanceSecurityGroupRulesArgs.__new__(InstanceSecurityGroupRulesArgs) __props__.__dict__["inbound_rules"] = inbound_rules __props__.__dict__["outbound_rules"] = outbound_rules if security_group_id is None and not opts.urn: raise TypeError("Missing required property 'security_group_id'") __props__.__dict__["security_group_id"] = security_group_id super(InstanceSecurityGroupRules, __self__).__init__( 'scaleway:index/instanceSecurityGroupRules:InstanceSecurityGroupRules', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, inbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesInboundRuleArgs']]]]] = None, outbound_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesOutboundRuleArgs']]]]] = None, security_group_id: Optional[pulumi.Input[str]] = None) -> 'InstanceSecurityGroupRules': """ Get an existing InstanceSecurityGroupRules resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesInboundRuleArgs']]]] inbound_rules: A list of inbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['InstanceSecurityGroupRulesOutboundRuleArgs']]]] outbound_rules: A list of outbound rule to add to the security group. (Structure is documented below.) :param pulumi.Input[str] security_group_id: The ID of the security group. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _InstanceSecurityGroupRulesState.__new__(_InstanceSecurityGroupRulesState) __props__.__dict__["inbound_rules"] = inbound_rules __props__.__dict__["outbound_rules"] = outbound_rules __props__.__dict__["security_group_id"] = security_group_id return InstanceSecurityGroupRules(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="inboundRules") def inbound_rules(self) -> pulumi.Output[Optional[Sequence['outputs.InstanceSecurityGroupRulesInboundRule']]]: """ A list of inbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "inbound_rules") @property @pulumi.getter(name="outboundRules") def outbound_rules(self) -> pulumi.Output[Optional[Sequence['outputs.InstanceSecurityGroupRulesOutboundRule']]]: """ A list of outbound rule to add to the security group. (Structure is documented below.) """ return pulumi.get(self, "outbound_rules") @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> pulumi.Output[str]: """ The ID of the security group. """ return pulumi.get(self, "security_group_id")

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null

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1

0

1

0

null

0

6

7db7edd52f8fab919994fc652ca5cda9cd561a7a

69

py

Python

tests/test_boilerplate.py

alexbahnisch/python-boilerplate

e836158ed911b591c303d32171be4739b77b9e34

[ "MIT" ]

1

2017-07-07T20:31:28.000Z

tests/test_boilerplate.py

alexbahnisch/python3-boilerplate

e836158ed911b591c303d32171be4739b77b9e34

[ "MIT" ]

null

tests/test_boilerplate.py

alexbahnisch/python3-boilerplate

e836158ed911b591c303d32171be4739b77b9e34

[ "MIT" ]

null

from boilerplate import fun def test_fun(): assert fun(1) == 1

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0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

7db843f48cbb72ee5da6a7cb3f4c0c22515935cb

203

py

Python

src/auctionsite/main.py

Hbattle20/djangoauctionsite

5cf929800403e103640be54ab52345d9a0a28220

[ "MIT" ]

null

src/auctionsite/main.py

Hbattle20/djangoauctionsite

5cf929800403e103640be54ab52345d9a0a28220

[ "MIT" ]

null

src/auctionsite/main.py

Hbattle20/djangoauctionsite

5cf929800403e103640be54ab52345d9a0a28220

[ "MIT" ]

null

def get_price(auction_id): return 0 def make_bid(bid, auction_id): auction_price = get_price(auction_id) if bid <= auction_price: return False auction_price = bid return True

22.555556

41

0.689655

30

203

4.366667

0.4

0.206107

0.229008

0.259542

0

0.006494

0.241379

203

9

42

22.555556

0.844156

0

1

0.25

false

0

0.125

0.625

0

null

1

0

1

0

null

0

1

0

1

0

6

7debd998da7331ae40399b73d9662e9c7ca9ee45

107

py

Python

src/winnow/models/process.py

opendesk/schema

9c6d8483abbfeb5e3bd225b2916c212e2c21872b

[ "Unlicense" ]

3

2016-04-05T16:51:27.000Z

2016-08-30T20:56:25.000Z

src/winnow/models/process.py

opendesk/schema

9c6d8483abbfeb5e3bd225b2916c212e2c21872b

[ "Unlicense" ]

null

src/winnow/models/process.py

opendesk/schema

9c6d8483abbfeb5e3bd225b2916c212e2c21872b

[ "Unlicense" ]

1

2019-08-14T16:51:56.000Z

import winnow from winnow.models.base import WinnowVersion class WinnowProcess(WinnowVersion): pass

13.375

44

0.803738

12

107

7.166667

0.75

0

0.149533

107

7

45

15.285714

0.945055

0

1

0

true

0.25

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

6

8161c86daa0145dcdb266b0069018cf1111c3e07

19

py

Python

space/old/units.py

mobarski/sandbox

64ac79143750d5dcbd4d0f3abdab6efeb9bdf50c

[ "MIT" ]

null

space/old/units.py

mobarski/sandbox

64ac79143750d5dcbd4d0f3abdab6efeb9bdf50c

[ "MIT" ]

null

space/old/units.py

mobarski/sandbox

64ac79143750d5dcbd4d0f3abdab6efeb9bdf50c

[ "MIT" ]

null

u = 'kg * m / s**2'

19

0.315789

5

19

1.2

1

0

0.076923

0.315789

19

1

19

0.384615

0

0.65

0

1

0

false

0

1

null

0

1

0

1

0

1

0

null

0

6

81639b94b78faa5edd9bcd71e5b23d4c766e1ef9

236

py

Python

angr/analyses/decompiler/structured_codegen/__init__.py

mikenawrocki/angr

57f5593e902f5ad58709bc8f4ce7859134300ffb

[ "BSD-2-Clause" ]

1

2021-12-20T14:48:33.000Z

angr/analyses/decompiler/structured_codegen/__init__.py

mikenawrocki/angr

57f5593e902f5ad58709bc8f4ce7859134300ffb

[ "BSD-2-Clause" ]

null

angr/analyses/decompiler/structured_codegen/__init__.py

mikenawrocki/angr

57f5593e902f5ad58709bc8f4ce7859134300ffb

[ "BSD-2-Clause" ]

null

from .base import BaseStructuredCodeGenerator, InstructionMapping, InstructionMappingElement, PositionMappingElement,\ PositionMapping from .c import CStructuredCodeGenerator from .dwarf_import import ImportSourceCode

47.2

118

0.822034

17

236

11.352941

0.705882

0

0.144068

236

4

119

59

0.955446

0

1

0

true

0

0.75

0

0.75

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

6

c499bbcdafc7951d9d7c03c4ab1daa97f311d39a

21

py

Python

fzfaws/ec2/__init__.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

66

2020-07-26T12:43:30.000Z

2022-01-25T12:09:40.000Z

fzfaws/ec2/__init__.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

null

fzfaws/ec2/__init__.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

3

2020-07-26T22:09:45.000Z

2020-07-28T01:09:26.000Z

from .ec2 import EC2

10.5

20

0.761905

4

21

4

0.75

0

0.117647

0.190476

21

1

21

0.823529

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

c4b15916ba3b8fb40a1e33fef2d39410c93af2e6

70,178

py

Python

cottonformation/res/codedeploy.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

5

2021-07-22T03:45:59.000Z

2021-12-17T21:07:14.000Z

cottonformation/res/codedeploy.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

1

2021-06-25T18:01:31.000Z

cottonformation/res/codedeploy.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

2

2021-06-27T03:08:21.000Z

2021-06-28T22:15:51.000Z

# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class PropDeploymentConfigTimeBasedCanary(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentConfig.TimeBasedCanary" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedcanary.html Property Document: - ``rp_CanaryInterval``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedcanary.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary-canaryinterval - ``rp_CanaryPercentage``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedcanary.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary-canarypercentage """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentConfig.TimeBasedCanary" rp_CanaryInterval: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "CanaryInterval"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedcanary.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary-canaryinterval""" rp_CanaryPercentage: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "CanaryPercentage"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedcanary.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary-canarypercentage""" @attr.s class PropDeploymentGroupTargetGroupInfo(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.TargetGroupInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-targetgroupinfo.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-targetgroupinfo.html#cfn-codedeploy-deploymentgroup-targetgroupinfo-name """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.TargetGroupInfo" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-targetgroupinfo.html#cfn-codedeploy-deploymentgroup-targetgroupinfo-name""" @attr.s class PropDeploymentGroupDeploymentStyle(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.DeploymentStyle" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentstyle.html Property Document: - ``p_DeploymentOption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentstyle.html#cfn-codedeploy-deploymentgroup-deploymentstyle-deploymentoption - ``p_DeploymentType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentstyle.html#cfn-codedeploy-deploymentgroup-deploymentstyle-deploymenttype """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.DeploymentStyle" p_DeploymentOption: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentOption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentstyle.html#cfn-codedeploy-deploymentgroup-deploymentstyle-deploymentoption""" p_DeploymentType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentstyle.html#cfn-codedeploy-deploymentgroup-deploymentstyle-deploymenttype""" @attr.s class PropDeploymentGroupEC2TagFilter(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.EC2TagFilter" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html Property Document: - ``p_Key``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-key - ``p_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-type - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-value """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.EC2TagFilter" p_Key: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Key"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-key""" p_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-type""" p_Value: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagfilter.html#cfn-codedeploy-deploymentgroup-ec2tagfilter-value""" @attr.s class PropDeploymentGroupTriggerConfig(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.TriggerConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html Property Document: - ``p_TriggerEvents``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggerevents - ``p_TriggerName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggername - ``p_TriggerTargetArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggertargetarn """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.TriggerConfig" p_TriggerEvents: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "TriggerEvents"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggerevents""" p_TriggerName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TriggerName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggername""" p_TriggerTargetArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TriggerTargetArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-triggerconfig.html#cfn-codedeploy-deploymentgroup-triggerconfig-triggertargetarn""" @attr.s class PropDeploymentGroupDeploymentReadyOption(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.DeploymentReadyOption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentreadyoption.html Property Document: - ``p_ActionOnTimeout``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentreadyoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption-actionontimeout - ``p_WaitTimeInMinutes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentreadyoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption-waittimeinminutes """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.DeploymentReadyOption" p_ActionOnTimeout: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ActionOnTimeout"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentreadyoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption-actionontimeout""" p_WaitTimeInMinutes: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "WaitTimeInMinutes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deploymentreadyoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption-waittimeinminutes""" @attr.s class PropDeploymentConfigMinimumHealthyHosts(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentConfig.MinimumHealthyHosts" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-minimumhealthyhosts.html Property Document: - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-minimumhealthyhosts.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts-type - ``rp_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-minimumhealthyhosts.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts-value """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentConfig.MinimumHealthyHosts" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-minimumhealthyhosts.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts-type""" rp_Value: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-minimumhealthyhosts.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts-value""" @attr.s class PropDeploymentGroupAutoRollbackConfiguration(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.AutoRollbackConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-autorollbackconfiguration.html Property Document: - ``p_Enabled``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-autorollbackconfiguration.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration-enabled - ``p_Events``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-autorollbackconfiguration.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration-events """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.AutoRollbackConfiguration" p_Enabled: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Enabled"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-autorollbackconfiguration.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration-enabled""" p_Events: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Events"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-autorollbackconfiguration.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration-events""" @attr.s class PropDeploymentGroupS3Location(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.S3Location" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html Property Document: - ``rp_Bucket``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-bucket - ``rp_Key``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-key - ``p_BundleType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-bundletype - ``p_ETag``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-etag - ``p_Version``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-value """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.S3Location" rp_Bucket: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Bucket"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-bucket""" rp_Key: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Key"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-key""" p_BundleType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "BundleType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-bundletype""" p_ETag: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ETag"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-etag""" p_Version: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Version"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-s3location.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location-value""" @attr.s class PropDeploymentGroupBlueInstanceTerminationOption(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.BlueInstanceTerminationOption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-blueinstanceterminationoption.html Property Document: - ``p_Action``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-blueinstanceterminationoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-blueinstanceterminationoption-action - ``p_TerminationWaitTimeInMinutes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-blueinstanceterminationoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-blueinstanceterminationoption-terminationwaittimeinminutes """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.BlueInstanceTerminationOption" p_Action: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Action"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-blueinstanceterminationoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-blueinstanceterminationoption-action""" p_TerminationWaitTimeInMinutes: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "TerminationWaitTimeInMinutes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-blueinstanceterminationoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-blueinstanceterminationoption-terminationwaittimeinminutes""" @attr.s class PropDeploymentGroupTagFilter(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.TagFilter" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html Property Document: - ``p_Key``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-key - ``p_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-type - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-value """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.TagFilter" p_Key: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Key"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-key""" p_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-type""" p_Value: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-tagfilter.html#cfn-codedeploy-deploymentgroup-tagfilter-value""" @attr.s class PropDeploymentGroupGitHubLocation(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.GitHubLocation" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-githublocation.html Property Document: - ``rp_CommitId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-githublocation.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation-commitid - ``rp_Repository``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-githublocation.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation-repository """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.GitHubLocation" rp_CommitId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "CommitId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-githublocation.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation-commitid""" rp_Repository: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Repository"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision-githublocation.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation-repository""" @attr.s class PropDeploymentGroupELBInfo(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.ELBInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-elbinfo.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-elbinfo.html#cfn-codedeploy-deploymentgroup-elbinfo-name """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.ELBInfo" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-elbinfo.html#cfn-codedeploy-deploymentgroup-elbinfo-name""" @attr.s class PropDeploymentGroupAlarm(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.Alarm" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarm.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarm.html#cfn-codedeploy-deploymentgroup-alarm-name """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.Alarm" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarm.html#cfn-codedeploy-deploymentgroup-alarm-name""" @attr.s class PropDeploymentConfigTimeBasedLinear(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentConfig.TimeBasedLinear" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedlinear.html Property Document: - ``rp_LinearInterval``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedlinear.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear-linearinterval - ``rp_LinearPercentage``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedlinear.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear-linearpercentage """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentConfig.TimeBasedLinear" rp_LinearInterval: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "LinearInterval"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedlinear.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear-linearinterval""" rp_LinearPercentage: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "LinearPercentage"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-timebasedlinear.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear-linearpercentage""" @attr.s class PropDeploymentGroupGreenFleetProvisioningOption(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.GreenFleetProvisioningOption" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-greenfleetprovisioningoption.html Property Document: - ``p_Action``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-greenfleetprovisioningoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-greenfleetprovisioningoption-action """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.GreenFleetProvisioningOption" p_Action: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Action"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-greenfleetprovisioningoption.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-greenfleetprovisioningoption-action""" @attr.s class PropDeploymentGroupECSService(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.ECSService" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ecsservice.html Property Document: - ``rp_ClusterName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ecsservice.html#cfn-codedeploy-deploymentgroup-ecsservice-clustername - ``rp_ServiceName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ecsservice.html#cfn-codedeploy-deploymentgroup-ecsservice-servicename """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.ECSService" rp_ClusterName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ClusterName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ecsservice.html#cfn-codedeploy-deploymentgroup-ecsservice-clustername""" rp_ServiceName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ServiceName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ecsservice.html#cfn-codedeploy-deploymentgroup-ecsservice-servicename""" @attr.s class PropDeploymentGroupEC2TagSetListObject(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.EC2TagSetListObject" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagsetlistobject.html Property Document: - ``p_Ec2TagGroup``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagsetlistobject.html#cfn-codedeploy-deploymentgroup-ec2tagsetlistobject-ec2taggroup """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.EC2TagSetListObject" p_Ec2TagGroup: typing.List[typing.Union['PropDeploymentGroupEC2TagFilter', dict]] = attr.ib( default=None, converter=PropDeploymentGroupEC2TagFilter.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupEC2TagFilter), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Ec2TagGroup"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagsetlistobject.html#cfn-codedeploy-deploymentgroup-ec2tagsetlistobject-ec2taggroup""" @attr.s class PropDeploymentGroupOnPremisesTagSetListObject(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.OnPremisesTagSetListObject" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagsetlistobject.html Property Document: - ``p_OnPremisesTagGroup``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagsetlistobject.html#cfn-codedeploy-deploymentgroup-onpremisestagsetlistobject-onpremisestaggroup """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.OnPremisesTagSetListObject" p_OnPremisesTagGroup: typing.List[typing.Union['PropDeploymentGroupTagFilter', dict]] = attr.ib( default=None, converter=PropDeploymentGroupTagFilter.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupTagFilter), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "OnPremisesTagGroup"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagsetlistobject.html#cfn-codedeploy-deploymentgroup-onpremisestagsetlistobject-onpremisestaggroup""" @attr.s class PropDeploymentGroupOnPremisesTagSet(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.OnPremisesTagSet" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagset.html Property Document: - ``p_OnPremisesTagSetList``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagset.html#cfn-codedeploy-deploymentgroup-onpremisestagset-onpremisestagsetlist """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.OnPremisesTagSet" p_OnPremisesTagSetList: typing.List[typing.Union['PropDeploymentGroupOnPremisesTagSetListObject', dict]] = attr.ib( default=None, converter=PropDeploymentGroupOnPremisesTagSetListObject.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupOnPremisesTagSetListObject), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "OnPremisesTagSetList"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-onpremisestagset.html#cfn-codedeploy-deploymentgroup-onpremisestagset-onpremisestagsetlist""" @attr.s class PropDeploymentGroupLoadBalancerInfo(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.LoadBalancerInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-loadbalancerinfo.html Property Document: - ``p_ElbInfoList``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-loadbalancerinfo.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo-elbinfolist - ``p_TargetGroupInfoList``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-loadbalancerinfo.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo-targetgroupinfolist """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.LoadBalancerInfo" p_ElbInfoList: typing.List[typing.Union['PropDeploymentGroupELBInfo', dict]] = attr.ib( default=None, converter=PropDeploymentGroupELBInfo.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupELBInfo), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "ElbInfoList"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-loadbalancerinfo.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo-elbinfolist""" p_TargetGroupInfoList: typing.List[typing.Union['PropDeploymentGroupTargetGroupInfo', dict]] = attr.ib( default=None, converter=PropDeploymentGroupTargetGroupInfo.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupTargetGroupInfo), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "TargetGroupInfoList"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-loadbalancerinfo.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo-targetgroupinfolist""" @attr.s class PropDeploymentGroupRevisionLocation(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.RevisionLocation" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html Property Document: - ``p_GitHubLocation``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation - ``p_RevisionType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-revisiontype - ``p_S3Location``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.RevisionLocation" p_GitHubLocation: typing.Union['PropDeploymentGroupGitHubLocation', dict] = attr.ib( default=None, converter=PropDeploymentGroupGitHubLocation.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupGitHubLocation)), metadata={AttrMeta.PROPERTY_NAME: "GitHubLocation"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-githublocation""" p_RevisionType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RevisionType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-revisiontype""" p_S3Location: typing.Union['PropDeploymentGroupS3Location', dict] = attr.ib( default=None, converter=PropDeploymentGroupS3Location.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupS3Location)), metadata={AttrMeta.PROPERTY_NAME: "S3Location"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment-revision.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision-s3location""" @attr.s class PropDeploymentGroupEC2TagSet(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.EC2TagSet" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagset.html Property Document: - ``p_Ec2TagSetList``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagset.html#cfn-codedeploy-deploymentgroup-ec2tagset-ec2tagsetlist """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.EC2TagSet" p_Ec2TagSetList: typing.List[typing.Union['PropDeploymentGroupEC2TagSetListObject', dict]] = attr.ib( default=None, converter=PropDeploymentGroupEC2TagSetListObject.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupEC2TagSetListObject), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Ec2TagSetList"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-ec2tagset.html#cfn-codedeploy-deploymentgroup-ec2tagset-ec2tagsetlist""" @attr.s class PropDeploymentGroupAlarmConfiguration(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.AlarmConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html Property Document: - ``p_Alarms``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-alarms - ``p_Enabled``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-enabled - ``p_IgnorePollAlarmFailure``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-ignorepollalarmfailure """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.AlarmConfiguration" p_Alarms: typing.List[typing.Union['PropDeploymentGroupAlarm', dict]] = attr.ib( default=None, converter=PropDeploymentGroupAlarm.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupAlarm), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Alarms"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-alarms""" p_Enabled: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Enabled"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-enabled""" p_IgnorePollAlarmFailure: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "IgnorePollAlarmFailure"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-alarmconfiguration.html#cfn-codedeploy-deploymentgroup-alarmconfiguration-ignorepollalarmfailure""" @attr.s class PropDeploymentGroupBlueGreenDeploymentConfiguration(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.BlueGreenDeploymentConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html Property Document: - ``p_DeploymentReadyOption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption - ``p_GreenFleetProvisioningOption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-greenfleetprovisioningoption - ``p_TerminateBlueInstancesOnDeploymentSuccess``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-terminateblueinstancesondeploymentsuccess """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.BlueGreenDeploymentConfiguration" p_DeploymentReadyOption: typing.Union['PropDeploymentGroupDeploymentReadyOption', dict] = attr.ib( default=None, converter=PropDeploymentGroupDeploymentReadyOption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupDeploymentReadyOption)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentReadyOption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-deploymentreadyoption""" p_GreenFleetProvisioningOption: typing.Union['PropDeploymentGroupGreenFleetProvisioningOption', dict] = attr.ib( default=None, converter=PropDeploymentGroupGreenFleetProvisioningOption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupGreenFleetProvisioningOption)), metadata={AttrMeta.PROPERTY_NAME: "GreenFleetProvisioningOption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-greenfleetprovisioningoption""" p_TerminateBlueInstancesOnDeploymentSuccess: typing.Union['PropDeploymentGroupBlueInstanceTerminationOption', dict] = attr.ib( default=None, converter=PropDeploymentGroupBlueInstanceTerminationOption.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupBlueInstanceTerminationOption)), metadata={AttrMeta.PROPERTY_NAME: "TerminateBlueInstancesOnDeploymentSuccess"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-bluegreendeploymentconfiguration.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration-terminateblueinstancesondeploymentsuccess""" @attr.s class PropDeploymentConfigTrafficRoutingConfig(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentConfig.TrafficRoutingConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html Property Document: - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-type - ``p_TimeBasedCanary``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary - ``p_TimeBasedLinear``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentConfig.TrafficRoutingConfig" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-type""" p_TimeBasedCanary: typing.Union['PropDeploymentConfigTimeBasedCanary', dict] = attr.ib( default=None, converter=PropDeploymentConfigTimeBasedCanary.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentConfigTimeBasedCanary)), metadata={AttrMeta.PROPERTY_NAME: "TimeBasedCanary"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedcanary""" p_TimeBasedLinear: typing.Union['PropDeploymentConfigTimeBasedLinear', dict] = attr.ib( default=None, converter=PropDeploymentConfigTimeBasedLinear.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentConfigTimeBasedLinear)), metadata={AttrMeta.PROPERTY_NAME: "TimeBasedLinear"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentconfig-trafficroutingconfig.html#cfn-properties-codedeploy-deploymentconfig-trafficroutingconfig-timebasedlinear""" @attr.s class PropDeploymentGroupDeployment(Property): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup.Deployment" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html Property Document: - ``rp_Revision``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-description - ``p_IgnoreApplicationStopFailures``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-ignoreapplicationstopfailures """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup.Deployment" rp_Revision: typing.Union['PropDeploymentGroupRevisionLocation', dict] = attr.ib( default=None, converter=PropDeploymentGroupRevisionLocation.from_dict, validator=attr.validators.instance_of(PropDeploymentGroupRevisionLocation), metadata={AttrMeta.PROPERTY_NAME: "Revision"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-revision""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-description""" p_IgnoreApplicationStopFailures: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "IgnoreApplicationStopFailures"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-codedeploy-deploymentgroup-deployment.html#cfn-properties-codedeploy-deploymentgroup-deployment-ignoreapplicationstopfailures""" #--- Resource declaration --- @attr.s class DeploymentConfig(Resource): """ AWS Object Type = "AWS::CodeDeploy::DeploymentConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html Property Document: - ``p_ComputePlatform``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-computeplatform - ``p_DeploymentConfigName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-deploymentconfigname - ``p_MinimumHealthyHosts``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts - ``p_TrafficRoutingConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-trafficroutingconfig """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentConfig" p_ComputePlatform: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ComputePlatform"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-computeplatform""" p_DeploymentConfigName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentConfigName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-deploymentconfigname""" p_MinimumHealthyHosts: typing.Union['PropDeploymentConfigMinimumHealthyHosts', dict] = attr.ib( default=None, converter=PropDeploymentConfigMinimumHealthyHosts.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentConfigMinimumHealthyHosts)), metadata={AttrMeta.PROPERTY_NAME: "MinimumHealthyHosts"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-minimumhealthyhosts""" p_TrafficRoutingConfig: typing.Union['PropDeploymentConfigTrafficRoutingConfig', dict] = attr.ib( default=None, converter=PropDeploymentConfigTrafficRoutingConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentConfigTrafficRoutingConfig)), metadata={AttrMeta.PROPERTY_NAME: "TrafficRoutingConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentconfig.html#cfn-codedeploy-deploymentconfig-trafficroutingconfig""" @attr.s class Application(Resource): """ AWS Object Type = "AWS::CodeDeploy::Application" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html Property Document: - ``p_ApplicationName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-applicationname - ``p_ComputePlatform``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-computeplatform - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-tags """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::Application" p_ApplicationName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ApplicationName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-applicationname""" p_ComputePlatform: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ComputePlatform"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-computeplatform""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-application.html#cfn-codedeploy-application-tags""" @attr.s class DeploymentGroup(Resource): """ AWS Object Type = "AWS::CodeDeploy::DeploymentGroup" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html Property Document: - ``rp_ApplicationName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-applicationname - ``rp_ServiceRoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-servicerolearn - ``p_AlarmConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-alarmconfiguration - ``p_AutoRollbackConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration - ``p_AutoScalingGroups``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-autoscalinggroups - ``p_BlueGreenDeploymentConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration - ``p_Deployment``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deployment - ``p_DeploymentConfigName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentconfigname - ``p_DeploymentGroupName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentgroupname - ``p_DeploymentStyle``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentstyle - ``p_ECSServices``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ecsservices - ``p_Ec2TagFilters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ec2tagfilters - ``p_Ec2TagSet``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ec2tagset - ``p_LoadBalancerInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo - ``p_OnPremisesInstanceTagFilters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-onpremisesinstancetagfilters - ``p_OnPremisesTagSet``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-onpremisestagset - ``p_TriggerConfigurations``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-triggerconfigurations """ AWS_OBJECT_TYPE = "AWS::CodeDeploy::DeploymentGroup" rp_ApplicationName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ApplicationName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-applicationname""" rp_ServiceRoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ServiceRoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-servicerolearn""" p_AlarmConfiguration: typing.Union['PropDeploymentGroupAlarmConfiguration', dict] = attr.ib( default=None, converter=PropDeploymentGroupAlarmConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupAlarmConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "AlarmConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-alarmconfiguration""" p_AutoRollbackConfiguration: typing.Union['PropDeploymentGroupAutoRollbackConfiguration', dict] = attr.ib( default=None, converter=PropDeploymentGroupAutoRollbackConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupAutoRollbackConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "AutoRollbackConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-autorollbackconfiguration""" p_AutoScalingGroups: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "AutoScalingGroups"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-autoscalinggroups""" p_BlueGreenDeploymentConfiguration: typing.Union['PropDeploymentGroupBlueGreenDeploymentConfiguration', dict] = attr.ib( default=None, converter=PropDeploymentGroupBlueGreenDeploymentConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupBlueGreenDeploymentConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "BlueGreenDeploymentConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-bluegreendeploymentconfiguration""" p_Deployment: typing.Union['PropDeploymentGroupDeployment', dict] = attr.ib( default=None, converter=PropDeploymentGroupDeployment.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupDeployment)), metadata={AttrMeta.PROPERTY_NAME: "Deployment"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deployment""" p_DeploymentConfigName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentConfigName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentconfigname""" p_DeploymentGroupName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentGroupName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentgroupname""" p_DeploymentStyle: typing.Union['PropDeploymentGroupDeploymentStyle', dict] = attr.ib( default=None, converter=PropDeploymentGroupDeploymentStyle.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupDeploymentStyle)), metadata={AttrMeta.PROPERTY_NAME: "DeploymentStyle"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-deploymentstyle""" p_ECSServices: typing.List[typing.Union['PropDeploymentGroupECSService', dict]] = attr.ib( default=None, converter=PropDeploymentGroupECSService.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupECSService), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "ECSServices"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ecsservices""" p_Ec2TagFilters: typing.List[typing.Union['PropDeploymentGroupEC2TagFilter', dict]] = attr.ib( default=None, converter=PropDeploymentGroupEC2TagFilter.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupEC2TagFilter), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Ec2TagFilters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ec2tagfilters""" p_Ec2TagSet: typing.Union['PropDeploymentGroupEC2TagSet', dict] = attr.ib( default=None, converter=PropDeploymentGroupEC2TagSet.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupEC2TagSet)), metadata={AttrMeta.PROPERTY_NAME: "Ec2TagSet"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-ec2tagset""" p_LoadBalancerInfo: typing.Union['PropDeploymentGroupLoadBalancerInfo', dict] = attr.ib( default=None, converter=PropDeploymentGroupLoadBalancerInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupLoadBalancerInfo)), metadata={AttrMeta.PROPERTY_NAME: "LoadBalancerInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-loadbalancerinfo""" p_OnPremisesInstanceTagFilters: typing.List[typing.Union['PropDeploymentGroupTagFilter', dict]] = attr.ib( default=None, converter=PropDeploymentGroupTagFilter.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupTagFilter), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "OnPremisesInstanceTagFilters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-onpremisesinstancetagfilters""" p_OnPremisesTagSet: typing.Union['PropDeploymentGroupOnPremisesTagSet', dict] = attr.ib( default=None, converter=PropDeploymentGroupOnPremisesTagSet.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDeploymentGroupOnPremisesTagSet)), metadata={AttrMeta.PROPERTY_NAME: "OnPremisesTagSet"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-onpremisestagset""" p_TriggerConfigurations: typing.List[typing.Union['PropDeploymentGroupTriggerConfig', dict]] = attr.ib( default=None, converter=PropDeploymentGroupTriggerConfig.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDeploymentGroupTriggerConfig), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "TriggerConfigurations"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codedeploy-deploymentgroup.html#cfn-codedeploy-deploymentgroup-triggerconfigurations"""

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6

c4f2d7383893447b52555c845e1d82953c2b60c0

129

py

Python

middleware/url.py

openspending/cosmopolitan

f9cdfcee5138fb7157f511db18f631008a273fa5

[ "MIT" ]

4

2015-11-25T14:21:22.000Z

2017-04-07T08:05:58.000Z

middleware/url.py

openspending/cosmopolitan

f9cdfcee5138fb7157f511db18f631008a273fa5

[ "MIT" ]

21

2015-11-29T16:23:52.000Z

2017-06-06T10:24:49.000Z

middleware/url.py

openspending/cosmopolitan

f9cdfcee5138fb7157f511db18f631008a273fa5

[ "MIT" ]

4

2016-01-21T19:06:03.000Z

2021-05-07T16:12:57.000Z

class LowercaseMiddleware(object): def process_request(self, request): request.path_info = request.path_info.lower()

32.25

53

0.744186

15

129

6.2

0.666667

0.236559

0.322581

0

0.155039

129

3

54

43

0.853211

0

1

0.333333

false

0

0.666667

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1

0

1

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null

0

1

0

1

0

6

1ef774deadbef6fce5e26d721b829b6799abfb69

102

py

Python

code/tests/test_deck.py

kiranajij/29Cards

b64238145590d3b81c16c8f70069cfb1d69f0c89

[ "MIT" ]

null

code/tests/test_deck.py

kiranajij/29Cards

b64238145590d3b81c16c8f70069cfb1d69f0c89

[ "MIT" ]

null

code/tests/test_deck.py

kiranajij/29Cards

b64238145590d3b81c16c8f70069cfb1d69f0c89

[ "MIT" ]

null

from unittest import TestCase from code.backend.game import deck class TestDeck(TestCase): pass

12.75

34

0.784314

14

102

5.714286

0.785714

0

0.166667

102

7

35

14.571429

0.941176

0

1

0

true

0.25

0.5

0

0.75

0

1

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null

0

1

0

null

0

1

0

1

0

6

48321845fdc5e56a2650b7c8c7237d15d1f42796

8,202

py

Python

cloudcafe/images/v1/client.py

ProjectMeniscus/cloudcafe

fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9

[ "Apache-2.0" ]

null

cloudcafe/images/v1/client.py

ProjectMeniscus/cloudcafe

fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9

[ "Apache-2.0" ]

null

cloudcafe/images/v1/client.py

ProjectMeniscus/cloudcafe

fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9

[ "Apache-2.0" ]

1

2020-11-17T19:05:08.000Z

from cafe.engine.clients.rest import AutoMarshallingRestClient from cloudcafe.images.v1.models.image import Image, ImageMinList from cloudcafe.images.v1.models.member import MemberList class ImagesClient(AutoMarshallingRestClient): """Client for Image API.""" def __init__(self, url, auth_token, serialize_format, deserialize_format): """ @param url: Base URL for the compute service @type url: String @param auth_token: Auth token to be used for all requests @type auth_token: String @param serialize_format: Format for serializing requests @type serialize_format: String @param deserialize_format: Format for de-serializing responses @type deserialize_format: String """ super(ImagesClient, self).__init__( serialize_format, deserialize_format) self.auth_token = auth_token self.default_headers['X-Auth-Token'] = auth_token self.default_headers['Content-Type'] = 'application/{0}'.format( self.serialize_format) self.default_headers['Accept'] = 'application/{0}'.format( self.deserialize_format) self.url = url def list_images(self, requestslib_kwargs=None): url = '{0}/images'.format(self.url) return self.request('GET', url, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def list_images_detail(self, parameters_list, requestslib_kwargs=None): url = '{0}/images/detail'.format(self.url) return self.request('GET', url, params=parameters_list, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def get_image(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}'.format(self.url, image_id) return self.request('GET', url, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def delete_image(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}'.format(self.url, image_id) return self.request('DELETE', url, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def filter_images_list(self, parameters_list, requestslib_kwargs=None): url = '{0}/images'.format(self.url) return self.request('GET', url, params=parameters_list, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def retrieve_metadata(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}'.format(self.url, image_id) return self.request('HEAD', url, requestslib_kwargs=requestslib_kwargs) def retrieve_raw_image_data(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}'.format(self.url, image_id) return self.request('GET', url, requestslib_kwargs=requestslib_kwargs) def add_image(self, image_name, image_data=None, headers=None, image_meta_id=None, image_meta_store=None, image_meta_disk_format=None, image_meta_container_format=None, image_meta_size=None, image_meta_checksum=None, image_meta_is_public=None, image_meta_min_ram=None, image_meta_min_disk=None, image_meta_owner=None, image_meta_property=None, image_meta_location=None, requestslib_kwargs=None): headers = headers if headers else {} if image_data: headers['Content-Type'] = 'application/octet-stream' headers['x-image-meta-name'] = image_name headers['x-image-meta-id'] = image_meta_id headers['x-image-meta-store'] = image_meta_store headers['x-image-meta-disk-format'] = image_meta_disk_format headers['x-image-meta-container-format'] = image_meta_container_format headers['x-image-meta-size'] = image_meta_size headers['x-image-meta-checksum'] = image_meta_checksum headers['x-image-meta-is-public'] = image_meta_is_public headers['x-image-meta-min-ram'] = image_meta_min_ram headers['x-image-meta-min-disk'] = image_meta_min_disk headers['x-image-meta-owner'] = image_meta_owner headers['x-image-meta-location'] = image_meta_location if image_meta_property: for key, val in image_meta_property.items(): headers['x-image-meta-property-{0}'.format(key)] = val url = '{0}/images'.format(self.url) return self.request('POST', url, headers=headers, data=image_data, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def list_image_membership(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}/members'.format(self.url, image_id) return self.request('GET', url, response_entity_type=MemberList, requestslib_kwargs=requestslib_kwargs) def update_image(self, image_id, image_data=None, headers=None, image_meta_name=None, image_meta_store=None, image_meta_disk_format=None, image_meta_container_format=None, image_meta_size=None, image_meta_checksum=None, image_meta_is_public=None, image_meta_min_ram=None, image_meta_min_disk=None, image_meta_owner=None, image_meta_property=None, image_meta_location=None, requestslib_kwargs=None): headers = headers if headers else {} if image_data: headers['Content-Type'] = 'application/octet-stream' headers['x-image-meta-name'] = image_meta_name headers['x-image-meta-store'] = image_meta_store headers['x-image-meta-disk-format'] = image_meta_disk_format headers['x-image-meta-container-format'] = image_meta_container_format headers['x-image-meta-size'] = image_meta_size headers['x-image-meta-checksum'] = image_meta_checksum headers['x-image-meta-is-public'] = image_meta_is_public headers['x-image-meta-min-ram'] = image_meta_min_ram headers['x-image-meta-min-disk'] = image_meta_min_disk headers['x-image-meta-owner'] = image_meta_owner headers['x-image-meta-location'] = image_meta_location if image_meta_property: for key, val in image_meta_property.items(): headers['x-image-meta-property-{0}'.format(key)] = val url = '{0}/images/{1}'.format(self.url, image_id) return self.request('PUT', url, headers=headers, data=image_data, response_entity_type=Image, requestslib_kwargs=requestslib_kwargs) def list_shared_images(self, member_id, requestslib_kwargs=None): url = '{0}/shared-images/{1}'.format(self.url, member_id) return self.request('GET', url, response_entity_type=ImageMinList, requestslib_kwargs=requestslib_kwargs) def add_member_to_image(self, image_id, member_id, requestslib_kwargs=None): url = '{0}/images/{1}/members/{2}'.format(self.url, image_id, member_id) return self.request('PUT', url, requestslib_kwargs=requestslib_kwargs) def delete_member_from_image(self, image_id, member_id, requestslib_kwargs=None): url = '{0}/images/{1}/members/{2}'.format(self.url, image_id, member_id) return self.request('DELETE', url, requestslib_kwargs=requestslib_kwargs) def replace_members_list(self, image_id, requestslib_kwargs=None): url = '{0}/images/{1}/members'.format(self.url, image_id) return self.request('PUT', url, requestslib_kwargs=requestslib_kwargs)

48.532544

78

0.628139

967

8,202

5.050672

0.107549

0.138206

0.066544

0.087019

0.814087

0.785012

0.743448

0.708436

0.679771

0

0.00534

0.269325

8,202

168

79

48.821429

0.809611

0.042794

0

0.638462

0

0.120654

0.063224

0

1

0.115385

false

0

0.023077

0

0.253846

0

null

0

1

0

null

0

6

487e3375c0b926ae05d698dfcdbe65b482436572

26

py

Python

hello-fortran/tests/test.py

Nicholaswogan/skbuild-f2py-examples

e47d0a9ce483e54b678e31789dbfcc90ff4a8e74

[ "MIT" ]

4

2021-07-28T02:16:52.000Z

2021-12-23T00:20:21.000Z

hello-fortran/tests/test.py

Nicholaswogan/skbuild-f2py-examples

e47d0a9ce483e54b678e31789dbfcc90ff4a8e74

[ "MIT" ]

1

2021-09-14T21:17:49.000Z

2021-09-14T23:17:47.000Z

hello-fortran/tests/test.py

Nicholaswogan/skbuild-f2py-examples

e47d0a9ce483e54b678e31789dbfcc90ff4a8e74

[ "MIT" ]

null

import hello hello.hello()

13

0.807692

4

26

5.25

0.5

0.952381

0

0.076923

26

2

13

0.875

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

4887050238bb36237ec570732b2b052a0729f89c

100

py

Python

pycausalmatch/__init__.py

bartdegroot92/pycausalmatch

045e50743296fea17eb10abd3ebc1db864885162

[ "MIT" ]

2

2021-09-02T16:20:27.000Z

2021-09-07T09:14:04.000Z

pycausalmatch/__init__.py

bartdegroot92/pycausalmatch

045e50743296fea17eb10abd3ebc1db864885162

[ "MIT" ]

3

2021-04-15T09:55:18.000Z

2021-06-22T21:55:51.000Z

pycausalmatch/__init__.py

bartdegroot92/pycausalmatch

045e50743296fea17eb10abd3ebc1db864885162

[ "MIT" ]

2

2021-06-22T15:37:15.000Z

2021-07-27T14:35:42.000Z

from pycausalmatch.__version__ import __version__ from pycausalmatch.main import R_MarketMatching

20

49

0.88

11

100

7.181818

0.636364

0.43038

0

0.1

100

5

50

20

0.877778

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

6f84cbde10103dcb80c03dbb764da0a2aa6cdf12

55

py

Python

applications/Rekall/controllers/audit.py

scudette/rekall-agent-server

e553f1ae5279f75a8f5b0c0c4847766b60ed86eb

[ "BSD-3-Clause" ]

21

2018-02-16T17:43:59.000Z

2021-12-29T12:08:28.000Z

applications/Rekall/controllers/audit.py

scudette/rekall-agent-server

e553f1ae5279f75a8f5b0c0c4847766b60ed86eb

[ "BSD-3-Clause" ]

12

2017-11-01T14:54:29.000Z

2018-02-01T22:02:12.000Z

applications/Rekall/controllers/audit.py

scudette/rekall-agent-server

e553f1ae5279f75a8f5b0c0c4847766b60ed86eb

[ "BSD-3-Clause" ]

8

2018-10-08T03:48:00.000Z

2022-03-31T12:13:01.000Z

def search(): return dict(q=request.vars.q or "")

13.75

39

0.618182

9

55

3.777778

0.888889

0

0.2

55

3

40

18.333333

0.772727

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

6fe5032731b39f6a93dc2e138a562dc683caf1ed

5,193

py

Python

neuroio/notifications/v1.py

neuroio/neuroio-python

160f96515877e5e2ee0e888b7424c77cb2d7496a

[ "MIT" ]

null

neuroio/notifications/v1.py

neuroio/neuroio-python

160f96515877e5e2ee0e888b7424c77cb2d7496a

[ "MIT" ]

6

2021-09-06T08:23:09.000Z

2021-11-10T16:19:20.000Z

neuroio/notifications/v1.py

neuroio/neuroio-python

160f96515877e5e2ee0e888b7424c77cb2d7496a

[ "MIT" ]

null

from typing import List, Union from httpx import Response from neuroio.base import APIBase, APIBaseAsync, APIBaseBase from neuroio.constants import ( EntryLiveness, EntryMood, EntryResult, HttpMethod, Sex, sentinel, ) from neuroio.utils import request_dict_processing, request_query_processing class NotificationsBase(APIBaseBase): def get_url(self, key: str = None) -> str: if key: return self.base_url + f"/v1/notifications/{key}/" else: return self.base_url + "/v1/notifications/" class Impl(APIBase, NotificationsBase): def create( self, name: str, http_method: HttpMethod, destination_url: str, is_active: bool = True, moods: Union[List[EntryMood], object] = sentinel, results: Union[List[EntryResult], object] = sentinel, liveness: Union[List[EntryLiveness], object] = sentinel, age_from: Union[int, object] = sentinel, age_to: Union[int, object] = sentinel, sex: Union[List[Sex], object] = sentinel, sources: Union[List[int], object] = sentinel, persons_groups: Union[List[int], object] = sentinel, ) -> Response: data = request_dict_processing(locals(), ["self"]) with self.get_client() as client: return client.post(url=self.get_url(), json=data) def list( self, q: Union[str, object] = sentinel, spaces_ids: Union[List[int], object] = sentinel, limit: int = 20, offset: int = 0, ) -> Response: data = request_query_processing(locals(), ["self"]) with self.get_client() as client: return client.get(url=self.get_url(), params=data) def get(self, id: int) -> Response: with self.get_client() as client: return client.get(url=self.get_url(f"{id}")) def update( self, id: int, name: str, http_method: HttpMethod, destination_url: str, is_active: bool = True, moods: Union[List[EntryMood], object] = sentinel, results: Union[List[EntryResult], object] = sentinel, liveness: Union[List[EntryLiveness], object] = sentinel, age_from: Union[int, object] = sentinel, age_to: Union[int, object] = sentinel, sex: Union[List[Sex], object] = sentinel, sources: Union[List[int], object] = sentinel, persons_groups: Union[List[int], object] = sentinel, ) -> Response: data = request_dict_processing(locals(), ["self", "id"]) with self.get_client() as client: return client.patch(url=self.get_url(f"{id}"), json=data) def delete(self, id: int) -> Response: with self.get_client() as client: return client.delete(url=self.get_url(f"{id}")) class ImplAsync(APIBaseAsync, NotificationsBase): async def create( self, name: str, http_method: HttpMethod, destination_url: str, is_active: bool = True, moods: Union[List[EntryMood], object] = sentinel, results: Union[List[EntryResult], object] = sentinel, liveness: Union[List[EntryLiveness], object] = sentinel, age_from: Union[int, object] = sentinel, age_to: Union[int, object] = sentinel, sex: Union[List[Sex], object] = sentinel, sources: Union[List[int], object] = sentinel, persons_groups: Union[List[int], object] = sentinel, ) -> Response: data = request_dict_processing(locals(), ["self"]) async with self.get_client() as client: return await client.post(url=self.get_url(), json=data) async def list( self, q: Union[str, object] = sentinel, spaces_ids: Union[List[int], object] = sentinel, limit: int = 20, offset: int = 0, ) -> Response: data = request_query_processing(locals(), ["self"]) async with self.get_client() as client: return await client.get(url=self.get_url(), params=data) async def get(self, id: int) -> Response: async with self.get_client() as client: return await client.get(url=self.get_url(f"{id}")) async def update( self, id: int, name: str, http_method: HttpMethod, destination_url: str, is_active: bool = True, moods: Union[List[EntryMood], object] = sentinel, results: Union[List[EntryResult], object] = sentinel, liveness: Union[List[EntryLiveness], object] = sentinel, age_from: Union[int, object] = sentinel, age_to: Union[int, object] = sentinel, sex: Union[List[Sex], object] = sentinel, sources: Union[List[int], object] = sentinel, persons_groups: Union[List[int], object] = sentinel, ) -> Response: data = request_dict_processing(locals(), ["self", "id"]) async with self.get_client() as client: return await client.patch(url=self.get_url(f"{id}"), json=data) async def delete(self, id: int) -> Response: async with self.get_client() as client: return await client.delete(url=self.get_url(f"{id}"))

35.087838

75

0.609667

611

5,193

5.075286

0.13257

0.162528

0.098678

0.058046

0.844889

0.835214

0.78652

0

0.002097

0.265357

5,193

147

76

35.326531

0.810747

0

0.68254

0

0.018101

0.004622

0

1

0.047619

false

0

0.039683

0

0.206349

0

null

0

1

0

null

0

6

6ffb75457a05ea3b38ff85ad8dce47521c6f146f

142

py

Python

final_race/ErrorMsg.py

clayshubert/AutonomousVehicles

72709885989b2b4266c86d6e5e0a0609b3f4a959

[ "MIT" ]

null

final_race/ErrorMsg.py

clayshubert/AutonomousVehicles

72709885989b2b4266c86d6e5e0a0609b3f4a959

[ "MIT" ]

null

final_race/ErrorMsg.py

clayshubert/AutonomousVehicles

72709885989b2b4266c86d6e5e0a0609b3f4a959

[ "MIT" ]

null

class ErrorMsg: float #float64 X_One #float64 Height_Of_Cone #float64 Area_Of_View_Top #float64 Area_Of_View_Bottom #bool Stop_Now

17.75

30

0.788732

23

142

4.434783

0.695652

0.215686

0.254902

0.333333

0

0.067797

0.169014

142

7

31

20.285714

0.79661

0.697183

0

1

0

true

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

82ea6726551a7e4421f675a5186c3f0eb92f7021

1,085

py

Python

page/page.py

silviacui/BaiNianShop

45320ea1e0a458961d202259b8eb5a2d82334b5f

[ "MIT" ]

null

page/page.py

silviacui/BaiNianShop

45320ea1e0a458961d202259b8eb5a2d82334b5f

[ "MIT" ]

null

page/page.py

silviacui/BaiNianShop

45320ea1e0a458961d202259b8eb5a2d82334b5f

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .home_page import * from .mine_page import * from .login_page import * from .settings_page import * from .about_bainian_page import * from .address_page import * from .add_address_page import * from .cities_page import * from .change_password_page import * class Page(): def __init__(self, driver): self.driver = driver @property def home(self): return HomePage(self.driver) @property def mine(self): return MinePage(self.driver) @property def login(self): return LoginPage(self.driver) @property def settings(self): return SettingsPage(self.driver) @property def about_bainian(self): return AboutBainianPage(self.driver) @property def address(self): return AddressPage(self.driver) @property def add_address(self): return AddAddressPage(self.driver) @property def cities(self): return CitiesPage(self.driver) @property def change_password(self): return ChangePasswordPage(self.driver)

19.727273

46

0.665438

126

1,085

5.579365

0.261905

0.156472

0.217639

0.238976

0

0.001218

0.243318

1,085

54

47

20.092593

0.855055

0.019355

0

0.230769

0

1

0.25641

false

0.076923

0.230769

0.74359

0

null

0

1

0

null

0

1

0

1

0

1

0

6

82ffab19febe2fbe186ed9ce8d0cd9efd06a14f8

8,125

py

Python

authors/tests/data/test_like_dislike_comments.py

andela/ah-the-jedi-backend

ba429dfcec577bd6d52052673c1c413835f65988

[ "BSD-3-Clause" ]

1

2019-12-25T18:59:34.000Z

authors/tests/data/test_like_dislike_comments.py

katherine95/ah-the-jedi-backend

ba429dfcec577bd6d52052673c1c413835f65988

[ "BSD-3-Clause" ]

26

2019-04-23T11:20:35.000Z

2022-03-11T23:45:54.000Z

authors/tests/data/test_like_dislike_comments.py

katherine95/ah-the-jedi-backend

ba429dfcec577bd6d52052673c1c413835f65988

[ "BSD-3-Clause" ]

8

2019-05-21T06:54:34.000Z

2019-11-18T19:45:22.000Z

import json import os import jwt from authors.apps.authentication.models import User from rest_framework import status from .base_test import BaseTest from authors.settings import SECRET_KEY from django.urls import reverse from rest_framework.test import APIClient from .data import Data class LikeDislikeTestCase(BaseTest): """ This class defines the test suite for like and dislike cases. """ def setUp(self): """ Define the test client and required test variables. """ # self.client = APIClient() # self.base_data = Data() BaseTest.setUp(self) signup = self.signup_user() uid = signup.data.get('data')['id'] token = signup.data.get('data')['token'] self.activate_user(uid=uid, token=token) login = self.login_user() self.token = login.data['token'] def test_a_user_can_like_a_comment(self): """ Test an authenticated user can successfully like a comment """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') like = self.client.post('/api/articles/{}/comments/{}/like/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') self.assertEqual(like.status_code, 200) def test_an_unauthenticated_user_cannot_like_a_comment(self): """ Test an unauthenticated user cannot like a comment """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') like = self.client.post('/api/articles/{}/comments/{}/like/'.format(slug, comment_id), format='json') self.assertEqual( like.data['detail'], "Authentication credentials were not provided.") self.assertEqual(like.status_code, 401) def test_cannot_like_comment_with_non_exitent_slug(self): """ Test a user cannot like with an unexisting article slug """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') like = self.client.post('/api/articles/{}/comments/{}/like/'.format("abc", comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') like = json.loads(like.content.decode('utf-8')) self.assertEqual(like['error'], 'Article with slug abc not found') self.assertEqual(int(like['status']), 404) def test_cannot_like_comment_with_non_exitent_comment_id(self): """ Test a user cannot like with an unexisting article comment id """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') like = self.client.post('/api/articles/{}/comments/{}/like/'.format(slug, 70000), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') like = json.loads(like.content.decode('utf-8')) self.assertEqual(like['error'], 'Comment with id 70000 not found') self.assertEqual(int(like['status']), 404) def test_a_user_can_delete_like(self): """ Test an authenticated user can delete a like """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') self.client.post('/api/articles/{}/comments/{}/like/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') like = self.client.post('/api/articles/{}/comments/{}/like/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') self.assertEqual(like.status_code, 200) def test_a_user_can_dislike_a_comment(self): """ Test an authenticated user can successfully disike a comment """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') dislike = self.client.post('/api/articles/{}/comments/{}/dislike/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') self.assertEqual(dislike.status_code, 200) def test_an_unauthenticated_user_cannot_dislike_a_comment(self): """ Test an unauthenticated user cannot dislike a comment """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') dislike = self.client.post('/api/articles/{}/comments/{}/dislike/'.format(slug, comment_id), format='json') self.assertEqual( dislike.data['detail'], "Authentication credentials were not provided.") self.assertEqual(dislike.status_code, 401) def test_cannot_dislike_comment_with_non_exitent_slug(self): """ Test a user cannot dislike with an unexisting article slug """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') dislike = self.client.post('/api/articles/{}/comments/{}/dislike/'.format("abc", comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') dislike = json.loads(dislike.content.decode('utf-8')) self.assertEqual(dislike['error'], 'Article with slug abc not found') self.assertEqual(int(dislike['status']), 404) def test_cannot_dislike_comment_with_non_exitent_comment_id(self): """ Test a user cannot dislike with an unexisting article comment id """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') dislike = self.client.post('/api/articles/{}/comments/{}/dislike/'.format(slug, 70000), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') dislike = json.loads(dislike.content.decode('utf-8')) self.assertEqual(dislike['error'], 'Comment with id 70000 not found') self.assertEqual(int(dislike['status']), 404) def test_a_user_can_delete_dislike(self): """ Test an authenticated user can delete a dislike """ article = self.create_article() slug = article.data['data']['slug'] comment = self.create_comment(slug) comment_id = comment.data.get('id') self.client.post('/api/articles/{}/comments/{}/dislike/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') dislike = self.client.post('/api/articles/{}/comments/{}/dislike/'.format(slug, comment_id), HTTP_AUTHORIZATION='Bearer ' + self.token, format='json') self.assertEqual(dislike.status_code, 200)

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d21812bed17beb8bc384215d8f5dcafc4dd9b43a

56

py

Python

polya/__init__.py

johapark/polya

dce321dbfd01c0bf5b17585b358b1e87787f0725

[ "MIT" ]

null

polya/__init__.py

johapark/polya

dce321dbfd01c0bf5b17585b358b1e87787f0725

[ "MIT" ]

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polya/__init__.py

johapark/polya

dce321dbfd01c0bf5b17585b358b1e87787f0725

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null

from . import io from . import plot from . import utils

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194

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Python

sadmin/admin.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

29

2021-06-01T20:38:00.000Z

2021-09-14T05:02:07.000Z

sadmin/admin.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

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2021-06-20T13:50:12.000Z

2021-06-20T14:43:08.000Z

sadmin/admin.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

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2021-06-03T13:29:47.000Z

2021-08-31T16:04:43.000Z

from django.contrib import admin from .models import IDtype, PassUser, Gender # Register your models here. admin.site.register(IDtype) admin.site.register(PassUser) admin.site.register(Gender)

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Python

libs/yowsup/yowsup/yowsup/layers/protocol_groups/protocolentities/test_iq_groups.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

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2017-07-14T20:01:17.000Z

2022-03-08T14:22:39.000Z

libs/yowsup/yowsup/yowsup/layers/protocol_groups/protocolentities/test_iq_groups.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

6

2017-07-14T21:03:50.000Z

2021-06-10T19:08:32.000Z

libs/yowsup/yowsup/yowsup/layers/protocol_groups/protocolentities/test_iq_groups.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

13

2017-07-14T20:13:14.000Z

2020-11-12T08:06:05.000Z

from yowsup.layers.protocol_iq.protocolentities.test_iq import IqProtocolEntityTest class GroupsIqProtocolEntityTest(IqProtocolEntityTest): pass

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py

Python

test/integration/ImportLocal/parent use.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

30

2019-10-29T12:47:50.000Z

2022-02-12T06:41:39.000Z

test/integration/ImportLocal/parent use.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

247

2017-09-21T17:11:18.000Z

2019-10-08T12:59:07.000Z

test/integration/ImportLocal/parent use.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

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2017-10-01T16:53:20.000Z

2018-11-28T07:20:35.000Z

# from bbb import Eee, Fff #

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py

Python

HelloWorld/Python01/_hello/kwlist.py

grtlinux/KieaPython

5539a9e3625864aa20624b8d684dbe5828dac3d1

[ "Apache-2.0" ]

1

2022-01-29T08:32:11.000Z

HelloWorld/Python01/_hello/kwlist.py

grtlinux/KieaPython

5539a9e3625864aa20624b8d684dbe5828dac3d1

[ "Apache-2.0" ]

null

HelloWorld/Python01/_hello/kwlist.py

grtlinux/KieaPython

5539a9e3625864aa20624b8d684dbe5828dac3d1

[ "Apache-2.0" ]

1

2022-01-29T08:32:12.000Z

# file: kwlist.py import keyword print keyword.kwlist print len(keyword.kwlist)

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96acda574ae6e1b98d7a43b2ea47ffcaf0bb41d4

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py

Python

api/admin.py

Arlefreak/PlusProjectAPI

339f121ab9041a939c0fcb6287793519b0e38d5c

[ "MIT" ]

null

api/admin.py

Arlefreak/PlusProjectAPI

339f121ab9041a939c0fcb6287793519b0e38d5c

[ "MIT" ]

null

api/admin.py

Arlefreak/PlusProjectAPI

339f121ab9041a939c0fcb6287793519b0e38d5c

[ "MIT" ]

null

from django.contrib import admin from api.models import * admin.site.register(Project) admin.site.register(Payment) admin.site.register(Task) admin.site.register(Client) # Register your models here.

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